ArticlePDF AvailableLiterature Review

The Influence of Bio-Behavioural Factors on Tumour Biology: Pathways and Mechanisms

Authors:
  • University of Miami and Sylvester Comprehensive Cancer Center

Abstract

Epidemiological studies indicate that stress, chronic depression and lack of social support might serve as risk factors for cancer development and progression. Recent cellular and molecular studies have identified biological processes that could potentially mediate such effects. This review integrates clinical, cellular and molecular studies to provide a mechanistic understanding of the interface between biological and behavioural influences in cancer, and identifies novel behavioural or pharmacological interventions that might help improve cancer outcomes.
Clinical studies indicate that stress, chronic
depression, social support and other psycho-
logical factors might influence cancer onset
and progression
1–5
. Recent mechanistic stud-
ies have identified biological signalling path-
ways that could contribute to such effects.
Environmental and psycho-social processes
initiate a cascade of information-processing
pathways in the central nervous system
(CNS) and periphery, which subsequently
trigger fight-or-flight stress responses in the
autonomic nervous system (ANS), or defeat/
withdrawal responses that are produced by
the hypothalamic–pituitary–adrenal axis
(HPA)
6
. FIGURE 1 shows the areas of the
brain that are thought to be responsible for
mediating stress responses and their effects
on the adrenal glands and other target
tissues. Cognitive and emotional feedback
from cortical and limbic areas of the brain
modulate the activity of hypothalamic and
brain-stem structures that directly control
HPA and ANS activity
7
.
HPA responses are mediated by hypo-
thalamic production of corticotrophin-
releasing factor and arginine vasopressin,
both of which activate the secretion of
pituitary hormones such as adrenocortico-
tropic hormone (
ACTH), enkephalins and
endorphins. ACTH induces downstream
release of glucocorticoids such as cortisol
from the adrenal cortex. Glucocorticoids
control growth, metabolism and immune
function, and have a pivotal role in regulat-
ing basal function and stress reactivity
across a wide variety of organ systems
8
. ANS
responses to stress are mediated primarily
by activation of the sympathetic nervous
system (SNS) and subsequent release of
catecholamines (principally noradrenaline
and adrenaline) from sympathetic neurons
and the adrenal medulla. Levels of catecho-
lamines are increased in individuals who
experience acute or chronic stress, and are
responsible for ANS effects on cardiac,
respiratory, vascular and other organ sys-
tems
8
. Examples of stressors associated with
alterations in the HPA and/or ANS include
marital disruption, bereavement, depression,
chronic sleep disruption, severe trauma and
post-traumatic stress disorder
9,10
.
The activation of these pathways prepares
an individual to survive a threat, and the
physiological stress responses are therefore
generally considered adaptive. However,
under chronic stress most physiological
systems are negatively affected by prolonged
exposure to glucocorticoids and catecho-
lamines
11
. These changes are manifested
by deleterious health consequences such
as increased risk for cardiac disease, slower
wound healing and increased risk from
infections
11
. In the past decade, it has become
increasingly clear that chronic alterations
in neuroendocrine dynamics can also alter
multiple physiological processes involved in
tumour pathogenesis
12–15
.
In this article, we review the clinical
and experimental evidence regarding the
effects of stress on tumour development,
growth and progression. Special emphasis
is placed on neuroendocrine influences
on the tumour microenvironment, viral
oncogenesis and the immune system
(FIG. 2).
Although the mechanisms and clinical
relevance of these pathways are described
separately, there are numerous interactions
between them, reflecting the complexity of
cancer pathogenesis. These pathways might
provide additional clues about factors that
regulate the course of disease in cancer
patients and might offer new opportunities
for therapeutic interventions.
Endocrine stress response and cancer
There is evidence linking stress, concomitant
behavioural response patterns and result-
ant neurohormonal and neurotransmitter
changes (all of which are referred to
collectively within this paper as bio-behav-
ioural factors) to cancer development and
progression. Epidemiological data show
that psychological and social characteristics
might be associated with differential cancer
onset, progression and mortality. For exam-
ple, a twofold increase in
breast cancer risk
is evident after disruption of marriage owing
to divorce, separation or death of a spouse
5
.
Data from 3 eastern and midwestern states
in the United States indicate that cancer risk
increases after chronic depression that has
lasted for at least 6 years
16
. A third study
found that the combination of extreme
stress and low social support was related to a
ninefold increase in breast cancer incidence
4
.
However, findings have been inconsistent.
In general, stronger relationships have been
observed between psycho-social factors and
cancer progression than between psycho-
social factors and cancer incidence (see
REF. 3
for a discussion of the strengths and weak-
nesses of this literature). Data from patients
with existing tumours show that cancer
diagnosis and treatment cause substantial
distress, and that those who tend toward
depressive coping methods, such as hope-
lessness and helplessness, might experience
accelerated disease progression
2
. By contrast,
positive factors such as social support and
optimism have predicted longer survival
17,18
.
Additionally, there are important interac-
tions between behavioural stress factors and
health behaviours — including smoking,
insomnia, alcohol abuse and obesity — that
might have a further impact on cancer risk
19
.
Recent experimental studies have begun to
elucidate the mechanisms underlying these
observations.
Animal models have provided com-
pelling evidence regarding the effects
of behavioural stress on tumorigenesis
and the biological mechanisms involved
(TABLE 1). For example, immobilization
stress in rats that were given a carcinogen,
diethylnitrosamine, increased both the
OPINION
The influence of bio-behavioural
factors on tumour biology: pathways
and mechanisms
Michael H. Antoni, Susan K. Lutgendorf, Steven W. Cole, Firdaus S. Dhabhar,
Sandra E. Sephton, Paige Green McDonald, Michael Stefanek and Anil K. Sood
Abstract | Epidemiological studies indicate that stress, chronic depression and lack
of social support might serve as risk factors for cancer development and
progression. Recent cellular and molecular studies have identified biological
processes that could potentially mediate such effects. This review integrates
clinical, cellular and molecular studies to provide a mechanistic understanding of
the interface between biological and behavioural influences in cancer, and
identifies novel behavioural or pharmacological interventions that might help
improve cancer outcomes.
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incidence and rate of tumour growth
20
.
Experimental stressors have also been
found to increase the pathogenesis of vari-
ous virally mediated tumours in animal
models (see below). Swim stress, surgical
stress, social confrontation and hypother-
mia resulted in increased lung metastasis
from injected breast cancer cells
21–24
. Swim
stress, laparotomy (opening the abdo-
men) and social confrontation caused
a 2- to 5-fold increase in the number of
rat MADB106 breast tumour metastases
present in the lung
24,25
and a similar
increase in the number of lung metastases
counted 3 weeks later
24–26
. β-Adrenergic
agonists (which simulate activation of
the SNS) such as metaproterenol show
dose-dependent increases in
lung tumour
metastases. Similarly, adrenaline injections
promoted mammary tumour metastasis
21–24
.
Perhaps most importantly, pre-treatment
of animals with β-adrenergic antagonists
(to block the activity of SNS activation) and
indomethacin (to block inflammation) syn-
ergistically blocked the effects of behavioural
stress on lung tumour metastasis
27
.
Cellular and molecular events that
promote cancer growth are also affected
by stress. Swim stress in rodents results in
induction of chromosomal aberrations and
sister chromatid exchanges
28
as well as lower
activity of metaphase nucleolar organizer
regions in bone marrow cells
29
. These find-
ings indicate that stress might compromise
DNA repair mechanisms. Stress can also
influence the expression of viral oncogenes
and replication of tumorigenic viruses (see
below). In an orthotopic murine model of
ovarian carcinoma, immobilization stress
increased tumour burden and enhanced
angiogenesis and tumour production of
vascular endothelial growth factor (
VEGF)
30
,
indicating that stress might promote tumour
growth by facilitating development of a blood
supply. VEGF is a pro-angiogenic molecule
that stimulates endothelial cell migration,
proliferation and proteolytic activity
31
.
VEGF also interferes with the development
of T cells and the functional maturation of
dendritic cells
32,33
, indicating possible effects
on anti-tumour immune responses (see
below). In line with these findings, recent
clinical studies have shown links between
higher levels of social support and lower
serum levels of VEGF in patients with
ovarian
cancer
34
. Furthermore, social support has also
been linked to lower levels of interleukin-6
(IL-6), another pro-angiogenic factor, both in
peripheral blood and in ascites from patients
with ovarian cancer
35
.
Understanding the mechanisms
responsible for mediating the effects of
stress on human tumour tissues is crucial
for determining the full impact of stress
on tumorigenesis and for devising effec-
tive interventions. Experimental evidence
indicates that stress hormones have multiple
effects on human tumour biology. Hormones
that are associated with SNS activation might
favour angiogenesis in human tumours.
Noradrenaline has been shown to upregulate
VEGF in adipose tissue and two ovarian
cancer cell lines through the β-adrenergic
receptor (βAR)–cyclic AMP (cAMP)–
protein kinase A (PKA) pathway
36,37
. This
effect was abolished by a β-blocker,
propranolol, and was mimicked by isopro-
terenol (a synthetic drug that mimics the
effects of SNS stimulation), and was therefore
thought to be mediated through βARs
36,37
.
Noradrenaline also promotes various steps
that are essential to tumour metastasis,
including invasion and migration. In
in vitro experimental models, noradrenaline
increased colon cancer cell migration, an
effect that was inhibited by β-blockers
38
. Both
adrenaline and noradrenaline promoted
in vitro invasion of ovarian cancer cells by
increasing the expression levels of matrix
metalloproteinase 2 (MMP2) and MMP9
12
.
βARs, which mediate most of the effects
of catecholamines, have been identified on
breast and ovarian cancer cells
12,13
. In both
of these studies,
β
2
AR was the dominant
adrenergic receptor present. βARs are G-
protein-coupled receptors whose primary
function is the transmission of information
from the extracellular environment to the
interior of the cell, leading to activation of
adenylyl cyclase and accumulation of the
second messenger cAMP
39
. In mammary
tumours, activation of βARs has been linked
to accelerated tumour growth
13–15
. The
cAMP-responsive-element-binding (CREB)
protein is an important transcription factor
that is activated by multiple signal-transduc-
tion pathways in response to external stimuli,
including stress hormones
40,41
. Several studies
have shown a role for the CREB family of pro-
teins in tumour cell proliferation, migration,
angiogenesis and inhibition of apoptosis
40–42
,
as well as the expression of viral oncogenes
(see below). An additional cAMP target,
EPAC (also known as Rap guanine-nucle-
otide-exchange factor 3 (RAPGEF3)) is an
exchange protein that is directly activated by
cAMP. EPAC was recently shown to control
a number of cellular processes that were
previously attributed to PKA
43
. For example,
βAR-mediated activation of cAMP promotes
ovarian cancer cell adhesion through the
EPAC–RAP1 pathway
44
. Collectively, these
studies demonstrate the growing evidence
that mediators of SNS activate cellular
pathways within tumours that contribute
to growth and progression. However, the
clinical relevance in human studies of the
bio-behavioural stress mechanisms described
above remains to be demonstrated.
Glucocorticoids and other mediators
Glucocorticoids regulate a wide variety of
cellular processes through glucocorticoid-
receptor-mediated activation or repres-
sion of target genes. Recent studies have
demonstrated that whereas glucocorticoid
hormones induce apoptosis in lymphocytes
45
,
Figure 1 | Important components of the central
and peripheral stress systems. Stressful
experiences activate components of the limbic
system, which includes the hypothalamus, the
hippocampus, the amygdala, and other nearby
areas. In response to neurosensory signals, the
hypothalamus secretes corticotrophin-releasing
factor (CRF) and arginine vasopressin (AVP), both
of which activate the pituitary to produce
hormones such as adrenocorticotropic hormone
(ACTH). Circulating ACTH stimulates the
production of glucocorticoids from the adrenal
cortex. The sympathetic nervous system
originates from the brainstem, and the pre-
ganglionic neurons terminate in the ganglia near
the spinal column. From these ganglia, post-
ganglionic fibres run to the effector organs. The
main neurotransmitter of the pre-ganglionic
sympathetic fibres is acetylcholine and the typical
neurotransmitter released by the post-ganglionic
neurons is noradrenaline. The adrenal medulla
contains chromaffin cells, which release mainly
adrenaline.
Paraventricular nucleus
AVP
CRF
Pituitary
ACTH
Adrenal
gland
Cortisol
Adrenaline
Noradrenaline
Noradrenaline
Neuropeptides
Sympathetic
ganglion
Locus coeruleus
(noradrenergic system)
Noradrenaline
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these hormones activate survival genes
that protect cancer cells from the effects of
chemotherapy in both in vitro and in vivo
experimental models
46,47
. Glucocorticoids can
also activate oncogenic viruses and inhibit
anti-tumour and antiviral cellular immune
responses (see below). Glucocorticoids such
as cortisol might function in a synergistic
fashion with catecholamines to facilitate
cancer growth. For example, in lung carci-
noma cells cortisol increased βAR density
and potentiated the isoproterenol-induced
increase in cAMP accumulation
48
. So, it is
plausible that stressful situations character-
ized by both increased catecholamine
and cortisol concentrations (for example,
uncontrollable stress) might have the greatest
impact on cancer-related processes.
The expression levels of other hormones
affected by stress include prolactin, which
increases with stress
49,50
, and oxytocin and
dopamine, which decrease with stress
51
.
Prolactin can promote cell growth and
survival in breast tumour and other tumour
cells
52
. Oxytocin inhibits the growth of epi-
thelial cell (such as breast and endometrial)
tumours and those of neuronal or bone ori-
gin, but the hormone has a growth-stimu-
lating effect in trophoblast and endothelium
tumours
53
. For example, exogenous oxytocin
has a dose-dependent mitogenic effect on
human small-cell lung cancer cell lines,
which is blocked by an oxytocin receptor
antagonist
54
. Dopamine, which is known
to inhibit the growth of several types of
malignant tumours
55
, blocks VEGF-induced
angiogenesis both in vitro and in vivo,
primarily by inducing endocytosis of VEGF
receptor 2 in endothelial cells
56
.
Effect of circadian deregulation on cancer
Evidence indicates that circadian deregula-
tion influences the secretion of some
stress-associated hormones, and this might
explain the associations between stress
and cancer
57,58
. Data from separate lines of
investigation show that stress can disrupt cir-
cadian glucocorticoid rhythms
57,59
and favour
tumour initiation and progression
57,58,60
.
Night-time shift work, a condition that is
known to disrupt endocrine rhythms, is a
risk factor for breast and colorectal cancer
61
.
Mice with circadian disruption owing to Per1
(period 1) or Per2 gene mutations are prone
to tumour development and early death
62,63
.
Tumour-bearing animals and cancer patients
have disrupted endocrine, metabolic and
immunological cycles, with greater disrup-
tion in cases where the tumour is advanced
or fast-growing
64
. In murine studies, tumour
progression and mortality are dramatically
Figure 2 | Effects of stress-associated factors on the tumour microenvironment.
The responses to stressors involve central nervous system (CNS) perceptions of threat and
subsequent activation of the autonomic nervous system (ANS) and the hypothalamic–pituitary–
adrenal (HPA) axis. Catecholamines, glucocorticoids and other stress hormones are subsequently
released from the adrenal gland, brain and sympathetic nerve terminals and can modulate the
activity of multiple components of the tumour microenvironment. Effects include the promotion
of tumour-cell growth, migration and invasive capacity, and stimulation of angiogenesis by
inducing production of pro-angiogenic cytokines. Stress hormones can also activate oncogenic
viruses and alter several aspects of immune function, including antibody production, cytokine
production profiles and cell trafficking (see
REF. 6 for a comprehensive review of immune effects).
Collectively, these downstream effects create a permissive environment for tumour initiation,
growth and progression. CRF, corticotrophin-releasing factor; IL-6, interleukin-6; MMP, matrix
metalloproteinase; VEGF, vascular endothelial growth factor.
Optimism
Perceived stress
Depression
Psychological responsesStressors
Social isolation
Negative life events
Socio-economic burden
ACTH
Autonomic nervous system
• Noradrenaline
• Adrenaline
• Other neuropeptides
Adrenal gland
CRF/locus coeruleus
Oxytocin
Dopamine
•Noradrenaline/adrenaline •Cortisol
Immune cells
Immune response
Activity
Cancer cells
Migration and invasion
Proteases (MMPs)
• Altered DNA repair
Blood vessel
Angiogenesis/pro-angiogenic
cytokines (VEGF, IL-6)
Viruses
Oncogene transcription
Viral replication
Host-cell cycling
Neuroendocrine activity
Tumour microenvironment
Fibroblasts
Immune cells
Blood vessel
Tumour cell
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accelerated after elimination of circadian
rhythms by manipulation of light–dark cycles
(imposed ‘jet-lag’) and by the use of bilateral
electrolytic lesions to destroy the suprachias-
matic nuclei (SCN), which eliminates circa-
dian rhythms
60
. Two clinical studies have also
shown that the status of circadian cycles, such
as cortisol or the 24-hour-rest–activity cycle,
can predict long-term cancer survival
58,65
.
Stress-related disruption of circadian
cycles might impair cancer-defence
mechanisms through genetic and/or gluco-
corticoid and immune pathways. Animal
studies show that behavioural factors such
as imposed chronic jet-lag can alter Per1
expression in the SCN
60
, and circadian
genes, including Per1, regulate tumour
suppression, cellular response to DNA
damage, and apoptosis
63
. Glucocorticoid
rhythms that are driven by the SCN
62
are
linked to both enumerative and functional
immunity
66
. Sleep disruption can increase
the release of cortisol as well as increase the
expression of pro-inflammatory cytokines
(for example, IL-6 and tumour-necrosis
factor-α (TNFα)) in cancer patients
67
.
Pro-inflammatory cytokines might promote
tumorigenesis by inducing DNA damage
or inhibiting DNA repair through the
generation of reactive oxygen species. Pro-
inflammatory cytokines can also lead to the
inactivation of tumour-suppressor genes,
the promotion of autocrine or paracrine
growth and survival of tumour cells, the
stimulation of angiogenesis, or the subversion
of the immune response (which leads to the
activation of B cells rather than T cells in the
tumour microenvironment)
68
. Conversely,
agents that are capable of re-establishing
circadian regulation (for example, melatonin)
might have anti-tumour effects. Research on
oestrogen-receptor-positive MCF-7 human
breast cancer cells has shown that melatonin
reversibly inhibits cell proliferation, increases
p53 expression, modulates the cell cycle, and
reduces metastatic capacity by increasing
the expression of cell-surface adhesion pro-
teins
69,70
. Taken together, these data indicate a
potentially important role of circadian regula-
tion in cancer defence and treatment
62
.
Influences on viral oncogenesis
The first experimental demonstration that
bio-behavioural factors could promote
cancer came from animal studies of tumour
viruses
71
. Many studies have demonstrated
the accelerated growth of virally induced
tumours in stressed animals, as well as
the more surprising protective effects
of handling, fighting and crowding
72,73
.
Neuroendocrine function has a central role
in these processes because it can modulate
viral replication, activate viral oncogenes,
increase tumour metabolism and regulate
the immune response
74–76
. The evidence for
a viral contribution to human cancer has
grown
77
(BOX 1), and stress hormones have
Table 1 | Effects of stress and stress-associated hormones on cancer
Experimental
manipulation
Animal Biological effect Tumour type Effect on tumour
growth
References
Confrontation Rats NA Breast Increased metastasis of
tumour cells to the lung
25
Restraint stress Rats Decreased numbers of T cells Mammary Increased growth
during stress
144
Forced swim Rats Decreased natural-killer-cell activity Leukaemia Increased mortality 22
Abdominal
surgery
Rats Decreased natural-killer-cell activity Mammary Increased metastasis of
tumour cells to the lung
22
High versus low
dopaminergic
reactivity
Rats Decreased angiogenesis with high
dopaminergic reactivity
Mammary Fewer lung metastasis
with increased
dopaminergic reactivity
145
Dopamine
administration
Mice Decreased angiogenesis; decreased VEGF–
VEGFR2 binding and phosphorylation
Ovarian Decreased ascites
formation
56
Dopamine
administration
Mice Decreased angiogenesis Gastric Decreased growth 55
Social isolation Mice Decreased macrophage activity Ehrlich Increased growth 146
Immobilization
stress
Mice Increased angiogenesis Ovarian Increased growth 30
Restraint stress Mice
Decreased IL-12, IFNγ, CCL27 (also known as
CTACK) and numbers of infiltrating T cells;
increased numbers of suppressor cells
Skin and squamous cell
carcinoma
Increased incidence,
number, size and
density
110
CTACK, cutaneous T-cell attracting chemokine; IL-12, interleukin-12; IFNγ, interferon-γ; NA, not available; VEGF, vascular endothelial growth factor; VEGFR2, VEGF receptor 2.
Box 1 | Physiological pathways, bio-behavioural processes and oncogenesis
Environmental and social processes activate interpretive processes in the central nervous system
(CNS) that can subsequently trigger fight-or-flight stress responses in the autonomic nervous
system (ANS) or defeat/withdrawal responses through the activation of the hypothalamic–
pituitary–adrenal axis (HPA)
141
.
Individual differences in perception and evaluation of external events (coping) creates variability
in individual ANS and HPA activity levels.
Over long periods of time, these neuroendocrine dynamics can alter various physiological
processes involved in tumorigenesis, including oxidative metabolism, DNA repair, oncogene
expression by viruses and somatic cells, and production of growth factors and other regulators of
cell growth.
Once a tumour is initiated, neuroendocrine factors can also regulate the activity of proteases,
angiogenic factors, chemokines and adhesion molecules involved in invasion, metastasis and
other aspects of tumour progression.
CNS processes can also shape behavioural processes that govern cancer risk (for example,
smoking, transmission of oncogenic viruses or exposure to genotoxic compounds).
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been found to influence the activity of vari-
ous human tumour viruses
(BOX 2; TABLE 2).
Epstein–Barr virus (EBV) is reactivated
in healthy people who experience pro-
longed psychological stress
78,79
. In these
studies HPA activity increased in parallel
with reactivation of EBV
79,80
, and gluco-
corticoid hormones were subsequently
found to increase EBV gene expression
in vitro
80,81
. High-risk human papilloma
viruses (HPVs), which contribute to cervi-
cal and rectal carcinomas, also respond to
glucocorticoids by activating gene expres-
sion
82–84
, interacting with cellular proto-
oncogenes such as HRAS
85
, and evading
cellular immune responses by downregu-
lating the expression of tumour MHC-I
(major histocompatibility complex class I)
molecules
86
. Clinical studies have identi-
fied stressful life events as a risk factor for
increased progression of cervical dysplasia
in HPV-positive women
87,88
. Furthermore,
glucocorticoid antagonists can inhibit HPV
activity in vitro
89–91
, providing a molecular
rationale for clinical interventions that
target HPA activity. Although hepatitis B
and C viruses come from different viral
lineages, glucocorticoids increase gene
expression in and replication of both
viruses
90,92–94
. These dynamics are so pro-
nounced that glucocorticoids are employed
clinically to activate hepatitis B and C
viruses for eradication by replication-
dependent antiviral drugs
93,95
.
Cancer-related viruses are also sensitive
to catecholamines and the PKA signal-
ling pathway. Molecular mechanisms are
especially well defined for AIDS-associ-
ated malignancies. Catecholamines can
accelerate human immunodeficiency
virus 1 (HIV1) replication by increasing
cellular susceptibility to infection
96,97
,
activating viral gene transcription
96
and
suppressing antiviral cytokines
98
. People
with heightened ANS activity show an
increased viral load in the plasma and
an impaired response to antiretroviral
therapy
96
, placing them at increased risk
for AIDS-associated B-cell lymphomas
99
.
Catecholamines can also activate the
Kaposi sarcoma-associated herpesvirus
(KSHV) through PKA induction of the
viral transcription factor Rta
100
. Human
T-cell lymphotropic viruses 1 and 2
(HTLV1 and HTLV2, respectively) are
sensitive to PKA-mediated induction of
the oncogenic Tax transcription factor
101
.
Hormonal regulation of viral replica-
tion represents an important pathway
by which bio-behavioural factors might
influence malignant processes, but it also
indicates novel therapeutic approaches
such as β-adrenergic priming of viral
genomes for clearance by replication-
dependent nucleoside analogue drugs.
In addition to direct effects on viral
gene expression, bio-behavioural factors
can also indirectly affect tumour viruses
by modulating host immune responses
(see below). Antiviral vaccines will have an
increasing role in the primary prevention
of virally mediated cancers, and bio-
behavioural influences on vaccine-induced
immune responses will become especially
relevant
102,103
. Neuroendocrine influences
on the immune response might also explain
why oncogenic viruses so consistently
acquire hormone-responsive replication
dynamics. Viruses that coordinate their
gene expression with periods of hormone-
induced immunosuppression should enjoy
a significant survival advantage. Similar
selective pressures might also shape the
evolution of non-viral malignancies
104
such
that genomic alterations are selected based
on their ability to evade immune clearance
or to synergize with endocrine dynamics to
optimize tumour growth and metastasis.
Influences on immune mechanisms
Chronic stress has been shown to suppress
different facets of immune function
2
such
as antigen presentation, T-cell proliferation,
and humoral and cell-mediated immunity,
mainly through the release of catecholamine
and/or glucocorticoid hormones
105–107
.
Relevant neuroendocrine and immune sys-
tem interactions include direct synapse-like
connections between sympathetic nerves
and lymphocytes in lymphoid organs
108
,
neural and endocrine modulation of lym-
phocyte trafficking
109
, and modulation of
leukocyte function through glucocorticoid
receptors and other receptors
70
. Tumour inci-
dence and progression based on modulation
of the immune response by chronic stress has
been demonstrated in many animal models
(see above). Recent studies have shown that
chronic stress experienced during exposure
to non-blistering ultraviolet radiation
significantly increases susceptibility to squa-
mous cell carcinoma by suppressing type 1
cytokines and the infiltration of protective
T cells. Regulatory or suppressor T-cell num-
bers within the tumours and in the circula-
tion were also increased
110
. Studies in mice
of the immune response to transplanted
syngeneic tumours showed that noradrena-
line
111
and adrenaline
112,113
directly inhibited
the generation of anti-tumour cytotoxic
T cells through β-adrenergic signalling
mechanisms. Chronic stress has been shown
to modulate lymphocyte apoptosis through
Table 2 | Neuroendocrine influences on tumour viruses
Human tumour virus Malignancy Sensitivity*
Human papilloma viruses 16 and 33 Cervical and head/neck cancer HPA
Hepatitis B virus Hepatocellular carcinoma HPA
Hepatitis C virus Hepatocellular carcinoma HPA
Epstein–Barr virus Lymphoma, and nasopharygeal
carcinoma
HPA
Human T-cell lymphotropic viruses
1 and 2
Adult T-cell leukaemia/lymphoma ANS
Kaposi sarcoma-associated
herpesvirus
Kaposi sarcoma, and primary
effusion lymphoma
ANS
*Presumptive, based on in vitro studies. ANS, autonomic nervous system; HPA, hypothalamic–pituitary–adrenal
axis. Vaccination is an important primary prevention strategy against viral tumours, and behavioural factors can
influence the efficacy of this approach by modulating vaccine-induced immune responses
102,103
.
Box 2 | Viral oncology
Viral infections contribute to approximately 15% of human cancers worldwide
77
.
Pathogenic mechanisms include expression of viral oncogenes (for example, human T-cell
lymphotropic virus
Tax, and Epstein–Barr virus nuclear antigens and latent membrane protein 1),
inhibition of host-cell tumour-suppressors (for example, human papillomavirus E6, which targets
p53 and E7, which targets RB), and genomic damage stemming from immune-mediated cell
turnover (for example, hepatitis B and C viruses)
77,142,143
.
All major human tumour viruses are sensitive to the intracellular signalling pathways activated by
the hypothalamic–pituitary–adrenal axis and autonomic nervous system. These mediators can
reactivate latent tumour viruses, stimulate oncogene expression and inhibit host-cell antiviral
responses.
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an increase in FAS (also known as CD95 or
APO1) expression. It has been hypothesized
that such lymphocyte reduction might result
in an increase in the incidence of oncogenic
viral infections and DNA damage
114
.
Compromised natural killer (NK)-cell
function has been shown in both animal
and clinical studies of surgical stress
22,115
.
High levels of psychological distress have
been linked to reduced cellular immunity in
patients with breast
116
and ovarian cancer
117
.
More specifically, distress measured by self-
report was correlated with low NK-cell cyto-
toxicity in tumour-infiltrating lymphocytes
from human ovarian cancers
117
. Low
peripheral NK-cell counts are prognostic for
early breast cancer mortality, and reduced
NK-cell cytotoxicity is predictive of a poor
clinical outcome in patients with breast
carcinoma
58
. Positive psycho-social factors
such as social support have been associated
with increased levels of NK-cell cytotoxic-
ity in patients with breast
118
and ovarian
cancer
117
. The relationship of increased
NK-cell cytotoxicity with social support was
not limited to the periphery; it was also seen
in tumour-infiltrating lymphocytes isolated
from human ovarian cancers, reflecting pos-
sible psycho-social influences on the tumour
microenvironment
117
. Patients with breast
cancer who reported increased psychological
growth through participation in a cognitive
behavioural intervention programme dem-
onstrated increased levels of cellular immune
function
119
. Preliminary studies have found
that the expression of spirituality was related
to increased numbers of circulating T cells
in patients with breast cancer
120
, and that the
use of humour as a coping mechanism was
associated with increased NK-cell activity in
cancer patients
121
.
Clinical opportunities and challenges
Our understanding of the biological and
clinical significance of psycho-social and bio-
behavioural influences on cancer pathogen-
esis is expanding. As described in this review,
factors such as chronic stress, depression and
social support have been linked to tumour
biology, viral oncogenesis and cell-mediated
immunity
(FIG. 3). Although the molecular
pathways have not been completely deline-
ated, observations to date indicate a need for
novel therapeutic paradigms that integrate a
bio-behavioural perspective.
It is plausible that successful manage-
ment of factors such as stress and negative
mood might have a salubrious effect on the
neuroendocrine regulation of oncogenesis,
tumour growth and metastasis, and cancer
immunoediting processes. Psycho-social
interventions such as relaxation and
cognitive behavioural techniques that alter
negative mood seem to modulate ANS and
HPA hormonal activity
122–124
. Moreover,
such interventions can potentially be used
in conjunction with conventional therapies
to maximize treatment efficacy
125,126
. Stress-
management interventions that dampen
chronic-stress-related physiological changes
might facilitate immune system ‘recovery’
and thereby increase immune surveillance
during the active treatment of cancer
119,124
.
Group-based psycho-social interventions
that combine relaxation with cognitive
behavioural techniques, such as cognitive
behavioural stress management (CBSM),
have been shown to increase indicators
Figure 3 | Integrated model of bio-behavioural influences on cancer
pathogenesis through neuroendocrine pathways. In this model, bio-
behavioural factors such as life stress, psychological processes and
health behaviours (blue panel) influence tumour-related processes
(green panel) through the neuroendocrine regulation of hormones,
including adrenaline, noradrenaline and glucocorticoids (red panel).
Central control of peripheral endocrine function also allows social,
environmental and behavioural processes to interact with biological
risk factors such as genetic background, carcinogens and viral infections
to systemically modulate malignant potential (red panel). Direct
pathways of influence include effects of catecholamines and
glucocorticoids on tumour-cell expression of genes that control cell
proliferation, invasion, angiogenesis, metastasis and immune evasion
(green panel). Stress-responsive neuroendocrine mediators can also
influence malignant potential indirectly through their effects on
oncogenic viruses and the cellular immune system (red panel). These
pleiotropic hormonal influences induce a mutually reinforcing system
of cellular signals that collectively support the initiation and progression
of malignant cell growth (green panel). Furthermore, neuroendocrine
deregulation can influence the response to conventional therapies such
as surgery, chemotherapy and immunotherapy (green panel). In addition
to explaining bio-behavioural risk factors for cancer, this model
suggests novel targets for pharmacological or behavioural intervention.
CTL, cytotoxic T lymphocytes; IL, interleukin; MRD, minimal residual
disease; NKC, natural killer cell; TGFβ, transforming growth factor-β;
TNFα, tumour-necrosis factor-α; TSH, thyroid-stimulating hormone.
Life stress
• Cumulative burden
• Trauma
• Socio-economic status
• Early-life experience
Psychological processes
• Depression
• Social support
• Appraisal and coping
Health behaviour
• Sleep
• Physical activity
• Diet
• Sexual behaviour
Biological cancer-risk factors
•Genetic/hereditary
• Carcinogen exposure
• Ageing
•Co-morbid diseases
• Viral infection
• Circadian clocks
Neuroendocrine regulation
•Adrenaline/noradrenaline
•Glucocorticoids
•Oestrogen, androgen, dopamine,
serotonin, TSH, growth hormone,
prolactin, oxytocin and melatonin
Immune response
•Cellular (NKC, CTL and T-cell
activity) and humoral
•T
H
1/T
H
2 cytokines, macrophages,
IL-1, IL-6, TNFα and TGFβ
•Cell recruitment, signalling and
chemokines
Initiation
•Mutation
• Viral oncogenes
• Cell proliferation
• DNA repair
Therapy
• Surgery
• Chemotherapy
• Radiation
• Targeted molecules
• Immunotherapy
• Endocrine therapy
Metastasis
• Embolism
• Attachment
• Establish microenvironment
• Proliferation
• Angiogenesis
• Invasion
• Migration
Remission/progression
• Growth support for MRD
• Immune surveillance
Tumour growth
• Apoptosis
• Angiogenesis
• Invasion
• Immunological escape
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© 2006 Nature Publishing Group
of immune responses against potentially
oncogenic viral infections, such as EBV
127
.
Such alterations are paralleled by decreased
expression levels of cortisol in the serum, a
reduced depressive mood, increased social
support and enhanced relaxation skills
122
.
In HIV-infected individuals, who as a
group are at risk for multiple opportunistic
cancers, CBSM seems to accelerate recon-
stitution of naive T-lymphocytes, increase
CD8
+
cytotoxic T-cell numbers and decrease
the viral load of HIV over time
122,128
. These
changes are pre-dated by decreases in nega-
tive mood and decreases in urinary cortisol
and noradrenaline output
122,129
. It is plausible
that CBSM might also help decrease the
replication and function of other oncogenic
viruses such as HPV and improve immune
defences against them. Psycho-social inter-
ventions in cancer patients have resulted in
alterations in neuroendocrine regulation and
immunological functions
124,130,131
that are rel-
evant for monitoring neoplastic cell changes.
For example, two recent randomized clinical
trials have documented increases in lym-
phocyte proliferation in patients with breast
cancer following psycho-social interven-
tions
119,124
, and post-intervention changes
in NK-cell activity have also been shown
in patients with malignant melanoma
131
.
Collectively, this work indicates that stress
management can modify neuroendocrine
deregulation and immunological functions
that potentially have implications for tumour
progression. This might be particularly
important among vulnerable populations
such as older adults because ageing is
associated with a suppression of the immune
response.
Clinical studies of psycho-social inter-
ventions with cancer survival as an outcome
have been methodologically flawed or have
failed to confirm a survival advantage in
the treatment group
1,126,132–134
. Similar to
most medical interventions for cancer, the
effectiveness of psycho-social interventions
is likely to vary with the type and stage of
cancer, characteristics of the patient (for
example, age, gender, education, co-morbid
medical conditions, and health behaviours
such as tobacco use, alcohol consumption
and physical activity) and the type and
delivery of the intervention. Nevertheless,
epidemiological evidence correlating psy-
chological and social factors (for example,
chronic depression, hopelessness, marital
disruption and social support) with cancer
incidence, progression and survival give cre-
dence to examining the biological signalling
pathways and mechanisms that underlie
these observations.
Pharmacological interventions can
potentially be used to ameliorate stress-
associated influences on cancer develop-
ment and progression. As discussed above,
β-blockers have been shown to block many
of the deleterious effects of stress. In a large
case–control study of patients with prostate
cancer who were taking anti-hypertensive
medication, only β-blockers were associated
with a reduction of cancer risk
135
. A cohort
study of cardiovascular patients showed that
the use of β-blockers, relative to never-using,
resulted in a 49% decrease in cancer risk,
with a 6% decrease in risk for every year of
use
136
. Large population-based case–control
studies have not confirmed alterations in
risk for invasive breast carcinoma with
β-blocker use
137,138
. The use of antidepressant
medications might be promising, owing to
a concomitant suppression of an inflamma-
tory response that has been associated with
certain types of cancer
139
. For example, lith-
ium inhibits prostaglandin E1, and tricyclic
antidepressants antagonize thromboxanes
140
.
Some monoamine oxidase inhibitors exert a
more potent anti-prostaglandin effect than
indomethacin
140
. Whether these agents can
be used to reduce cancer risk through bio-
behavioural-related mechanisms remains
to be determined, but these studies indicate
that further inquiry is warranted.
Conclusion
Despite significant progress in the past
decade, further research is needed to define
the mechanisms underlying the complex
circuits involving the HPA and ANS axes
and their effects on the processes involved
in cancer development and progression.
The body of data outlined above supports
a model in which bio-behavioural factors
influence multiple aspects of tumorigenesis
through their impact on neuroendocrine
function
(FIG. 3). These effects include direct
promotion of tumour growth by affecting
steps in the metastatic cascade and viral
oncogenesis. Furthermore, the interplay
between behavioural processes and cellular
immune factors also supports a favourable
physiological environment for tumour
establishment and growth. In the context of
this ‘systems biology’ perspective, pharma-
cological and behavioural interventions that
address neuroendocrine dysfunction could
have a clinically significant role in avoiding
these deleterious effects on tumour growth.
Although stress per se does not cause cancer,
the clinical and experimental data outlined
above indicate that factors such as mood,
coping mechanisms and social support can
significantly influence the underlying
cellular and molecular processes that facili-
tate malignant cell growth. As cancer treat-
ment evolves towards a more patient-specific
approach, consideration of the influence
of bio-behavioural factors provides a novel
perspective for mechanistic studies and new
therapeutic targets.
Michael H. Antoni is at the Departments of Psychology,
Psychiatry, and Behavioural Sciences and the
Sylvestor Cancer Center, University of Miami,
P.O. Box 248185, Coral Gables, Florida 33124, USA.
Susan K. Lutgendorf is at the Departments of
Psychology and Obstetrics and Gynecology and The
Holden Comprehensive Cancer Center, University of
Iowa, E11 Seashore Hall, Iowa City, Iowa 52242, USA.
Steven W. Cole is at the Division of Hematology–
Oncology, University of California, Los Angeles School
of Medicine 11-934 Factor Building, Los Angeles,
California 90095-1678, USA.
Firdaus S. Dhabhar is at the Department of Psychiatry
and Behavioral Sciences, Stanford University School of
Medicine, 401 Quarry Road, Office 2325, Stanford,
California 94305, USA.
Sandra E. Sephton is at the Department of
Psychological and Brain Sciences, James Graham
Brown Cancer Center, University of Louisville,
2301 South 3rd Street, Room 317, Louisville,
Kentucky 40202, USA.
Paige Green McDonald and Michael Stefanek are at
the Basic and Biobehavioural Research Branch,
Behavioural Research Program, Division of Cancer
Control and Population Sciences, National Cancer
Institute, National Institutes of Health,
6130 Executive Boulevard, MSC 7363, Bethesda,
Maryland 20892, USA.
Anil K. Sood is at the Departments of Gynecologic
Oncology and Cancer Biology, University of Texas M.
D. Anderson Cancer Center, Unit 1362, P.O.
Box 301439, Houston, Texas 77230-1439, USA.
Correspondence to P.G.M.
e-mail: pm252v@nih.gov
doi:10.1038/nrc1820
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Acknowledgements
The authors gratefully acknowledge the support of several
Institutes and Centers of the National Institutes of Health;
National Cancer Institute (M.H.A., S.K.L., F.S.D., and
A.K.S.), National Center for Complementary and Alternative
Medicine (S.K.L.), National Institute of Allergy and
Infectious Diseases (S.W.C. and F.S.D.) and National
Institute of Mental Health (M.H.A.). The authors also
acknowledge support received from the Dana Foundation
(F.S.D.), Jonssen Comprehensive Cancer Center (S.W.C.)
and Norman Cousins Center at the University of California,
Los Angeles (S.W.C.). Preparation of this perspective was
facilitated by support from the Division of Cancer Control
and Populations Sciences at the National Cancer Institute.
We are indebted to Wendy Nelson for her editorial review
of the manuscript.
Competing interests statement
The authors declare no competing financial interests.
DATABASES
The following terms in this article are linked online to:
Entrez Gene:
http://www.ncbi.nlm.nih.gov/entrez/query.
fcgi?db=gene
ACTH | β
2
AR | EPAC | VEGF
National Cancer Institute:
http://www.cancer.gov
breast cancer | lung tumour | ovarian cancer
FURTHER INFORMATION
Anil K. Sood’s web page: http://www.mdanderson.org/
departments/gynonc/display.cfm?id=ff562a10-edb5-4561-b
95d6ac0618b5184&method=displayfull&pn=AFADFC5A-
36B0-48EA-B11B71824784D641
NCI Cancer Control and Population Sciences web site:
http://www.cancercontrol.cancer.gov/bimped/
Steven Cole’s web page: http://www.cancer.mednet.ucla.
edu/institution/personnel?personnel%5fid=45359
Susan Lutgendorf’s web page: http://www.psychology.
uiowa.edu/Faculty/Lutgendorf/Lutgendorf.html
Access to this interactive links box is free online.
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... A growing body of evidence suggests that depression may influence cancer survival through multiple biological and behavioral mechanisms [15,[22][23][24][25]. Biologically, depression is linked to chronic inflammation, dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, immune suppression, and alterations in autonomic nervous system functionfactors that may accelerate tumor progression [26]. ...
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Depression is a prevalent but often underrecognized comorbidity among cancer patients. Emerging evidence suggests that psychological distress may adversely impact cancer outcomes, but the magnitude of its effect on survival remains unclear. This meta-analysis evaluates the association between depression diagnosed after cancer diagnosis and cancer-specific and all-cause mortality across major cancer types. A systematic search of PubMed, Web of Science, Google Scholar, and the Cochrane Library was conducted to identify cohort studies examining the impact of depression on cancer mortality. Studies were included if they assessed clinically diagnosed depression or depressive symptoms using validated scales and reported hazard ratios (HRs) for mortality outcomes. A random-effects meta-analysis was performed to pool HR estimates, with heterogeneity assessed via Cochran’s Q and I ² statistics. Funnel plots and Egger’s test were used to evaluate publication bias. A total of 65 cohort studies were included. Depression was associated with significantly increased cancer-specific mortality in colorectal cancer (HR 1.83, 95% CI 1.47–2.28), breast cancer (HR 1.23, 95% CI 1.13–1.34), lung cancer (HR 1.59, 95% CI 1.36–1.86), and prostate cancer (HR 1.74, 95% CI 1.36–2.23). When considering mixed cancer types, depression was linked to a 38% increased risk of cancer mortality (HR 1.38, 95% CI 1.20–1.60). Significant heterogeneity was observed across studies ( I ² range 56–98%), suggesting variations in study populations and methodologies. Sensitivity analyses confirmed the robustness of the findings, and trial sequential analysis indicated sufficient evidence for a conclusive association. Depression after cancer diagnosis is associated with a significantly increased risk of cancer-specific mortality across multiple cancer types. These findings highlight the urgent need for integrating routine mental health screening and interventions into oncology care. Future research should focus on mechanistic pathways and targeted interventions to mitigate the negative impact of depression on cancer survival.
... The immune system is regulated by the hypothalamic-pituitaryadrenal (HPA) axis and the sympathetic nervous system (SNS), in which glucocorticoids and catecholamines can inhibit immune function. The HPA axis and SNS can activate various complex cellular pathways in tumors to promote tumor growth and progression (Antoni et al., 2006). Both surgery and anesthesia can activate the SNS and HPA axis. ...
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Gynecological cancers remain a leading cause of cancer among female patients, and surgery continues to be the primary therapeutic approach. Anesthesia is an indispensable component of perioperative period. In recent years, the influence of anesthesia drugs on cancer has become one of the focuses of anesthesiologists. Anesthetic drugs may influence cancer metabolic reprogramming and modulate immune function through the hypothalamic-pituitary-adrenal (HPA) axis and the sympathetic nervous system (SNS). Emerging evidence suggests that the choice of anesthetic agents could affect the prognosis of gynecological cancers. This review explores the relationship between anesthetic drugs and gynecological cancers (cervical cancer, ovarian cancer, and endometrial cancer), elucidating their effects on cancer prognosis through cellular pathways, metabolic regulation, and immune mechanisms. The findings aim to guide clinical decision-making and evaluate optimal perioperative anesthetic management strategies for gynecological cancer patients.
... Third, mental health may influence CSS through immune system modulation. Depression and anxiety have also been linked to dysregulation of T-cell function and reduced natural killer cell activity, impairing immune surveillance against tumor progression [31]. Notably, Zeng et al. recently demonstrated that pretreatment emotional distress correlated with diminished clinical responses to immune checkpoint inhibitors in non-small-cell lung cancer patients, underscoring the role of psychological factors in shaping treatment efficacy [7]. ...
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Background Modifiable factors affect cancer’s survival but literature did not differentiate prior to versus after cancer diagnosis. It is essential to provide references for the intervention prioritized at different stages. Methods In this prospective cohort study, we analyzed national data from the UK Biobank, including 121,399 participants, to assess the association of modifiable factors with cancer-specific survival (CSS) in two independent cohorts: a pre-cancer cohort (n = 78,027) and a post-cancer cohort (n = 43,372). Additionally, a weighted standardized score was derived to evaluate the joint effects across different domains. Interactions between the six domains and age at diagnosis, sex, and cancer site were evaluated using likelihood ratio tests. Subgroup analyses were then performed for factors showing significant effect modification. Population-attributable fractions (PAF) of different domains on 5-year cancer-specific death were calculated. Results Our study comprehensively presented the differential patterns of modifiable factors’ impact on CSS among pre-cancer and post-cancer cohorts, sexes and different cancer sites. In the pre-cancer cohort, CSS were predominantly attributable to smoking/alcohol consumption (PAF 9·2%) and daily activity (PAF 10·6%). Men exhibited a higher risk than women for dietary habits (HR:1·25 versus 1·18), daily activity (HR:1·50 versus 1·29) and living environment (HR:1·13 versus 1·03). The impact of modifiable factors, including daily activity, smoking/alcohol consumption, and physical measures, on CSS varied across different cancer sites. In the post-cancer cohort, 18·6% of 5-year cancer-specific deaths were attributable to unfavourable mental health. In subgroup analysis, the risk of CSS in the domain of smoking/alcohol consumption was higher in men than that in women (HR: 1·58 versus 1·34). The impact of modifiable factors, including smoking/alcohol consumption, mental health and physical measures, on CSS varied across different cancer sites. Conclusions Our findings suggested that targeted prevention and early intervention strategies should be implemented to reduce the risk of cancer-related deaths.
... Less tangibly, some authors have suggested that college-educated couples may have warmer, more stable, and less hostile relationships [52]. These may translate to worse outcomes via connections between social support, emotional stress and tumor growth mediated by inflammatory markers and stress hormones [53]. The present study supports that married individuals have a benefit in OCC staging at diagnosis compared to other marital statuses and, after controlling for other variables, captures a unique aspect of marriage as an important indicator associated with decreased rates of advanced diagnosis. ...
Article
Full-text available
Purpose To explore the associations between sociodemographic factors with advanced-stage oral cavity cancer (OCC) presentation among Floridians. Methods Demographic and cancer data on OCC patients (n = 7,826) diagnosed between 2010 and 2017 were retrieved from the Florida Cancer Data System (FCDS). Census tract median income and percentage of population with a bachelor’s degree or higher were used to infer income and education. Pearson’s chi-square tests of independence were used to compare sociodemographic factors between racial/ethnic groups and staging groups. Multinomial logistic regression analyzed predictors of advanced disease. Incidence and percent late-stage diagnosis versus income were mapped using ArcGIS Pro. Results Among 5,252 cases analyzed: 5.7% were Black, 82.4% White Non-Hispanic, 61.5% male, 63.3% publicly insured, 6.5% uninsured, 58.7% current or former smokers, and 73.0% urban residents. Black patients were more likely to present with advanced disease, be single/unmarried, uninsured, and less likely to be former smokers. Male sex, Black race, non-married status, no insurance, Medicaid, VA/military insurance, and lower educational status were associated with increased risk of regional vs. early disease in multivariable analysis (MVA) (p < 0.05). These factors, in addition to Medicare, were associated with distant disease in MVA. Geospatial mapping revealed higher rates of regional and distant disease presentation in the Tampa Bay and Orlando areas. Conclusion Black race, male sex, non-married status, lower education, Medicaid, VA/Military insurance and no insurance were associated with advanced OCC in Florida. Smoking status was not associated with advanced disease presentation after adjusting for sociodemographic variables.
... The results shown that being widowed has a high positive impact on CSM in elderly patients, which is consistent with published studies (27)(28)(29). Epidemiologic studies have shown that psychosocial factors and social support play an important role in the relationship between marital status and survival, and that widowed patients have a greater lack of emotional support and social attention than married patients, which may contribute to an increased risk of CSM that they will experience (30,31). ...
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Background Tumor stage, surgery and age are positively correlated with cancer-specific mortality (CSM) in patients diagnosed with bladder cancer (BCa). In light of the successful application of machine learning to process big data in many fields outside of medicine, we aimed to establish and validate whether machine learning models could improve our ability to predict the development of CSM in elderly BCa patients after radical cystectomy (RC). Methods Data on eligible patients diagnosed with BCa were obtained from the Surveillance, Epidemiology, and End Results database (2000–2021) and divided into training and validation cohorts in a ratio of 7:3. First, risk factors for the development of CSM in patients were identified by Cox regression analysis. Then, iterative testing and tuning through automated hyperparameter optimization and ten-fold cross-validation were performed to generate stable extreme gradient boosting (XGBoost) models with optimal performance. Receiver operating characteristic (ROC) curve, area under the curve (AUC), calibration curve and confusion matrix were used to evaluate the performance of XGBoost model. Results There were 11,763 patients included, of which 5,788 died from BCa. By the comparison of different machine learning models, the final XGBoost model we constructed showed high accuracy and precision in predicting the development of CSM in BCa patients (6-month CSM: AUC =0.799, 12-month CSM: AUC =0.756, 36-month CSM: AUC =0.746, and 60-month CSM: AUC =0.745). The results of accuracy, precision, recall and F1 score confirmed the superior performance of the XGBoost model. The important scores for clinical characteristics and the Shapley Additive Explanations plots highlighted the importance of key factors: chemotherapy, tumor stage, marital status, and tumor size were the top four factors in all models. Conclusions Our study validated and confirmed the feasibility and high performance of the XGBoost model in predicting CSM in elderly BCa patients after RC. The potential of machine learning contributes to accurately predict the prognosis of cancer.
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Hablar de salud mental en el hospital oncológico requiere un abordaje transdisciplinario, que aborde al paciente y su familia, relacione el sustrato neurobiológico de los cambios emocionales y trastornos del afecto que puede asociarse a la enfermedad, busque la formación de equipos integrando los conocimientos de cada área y se trabaje por el bienestar del personal sanitario que dedica su tiempo a una labor que demanda importantes recursos emocionales y predispone a la sobrecarga. Son estos algunos de los desafíos que los equipos de salud mental conformados por psiquiatras de enlace, psicólogos de la salud y psicooncólogos afrontan el día de hoy, siendo una apuesta a una gestión cada vez más visible, con mayor impacto y que traspase los paradigmas existentes. El siguiente artículo propone mostrar la labor integradora de un equipo de salud mental de enlace del hospital monográfico de cáncer, los objetivos a perseguir y los desafíos actuales y futuros.
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Background: Gut microbiota play a critical role in mediating the bidirectional association between cancer and depression. Emerging evidence indicates that adjusting the dietary component intake can significantly alter gut microbiota composition, thereby influencing the host’s metabolism and immune function. Changes in gut microbiota and their metabolites may represent key factors in preventing cancer–depression comorbidity. Methods: English publications were searched in databases including the Web of Science, Scopus, and PubMed using a series of keywords: “cancer”, “depression”, “gut microbiota”, “dietary components”, and related terms, individually or in combination. The search focused on preclinical and clinical studies describing the regulatory effects of dietary component interventions. Results: This narrative review summarizes the associations among gut microbiota, cancer, and depression, and synthesizes current evidence on the modulatory effects and mechanisms of specific dietary component interventions, including dietary patterns, probiotics, prebiotics, and diet-derived phytochemicals, on gut microbiota. On the one hand, these interventions inhibit abnormal proliferation signals in the tumor microenvironment and enhance anticancer immune responses; on the other hand, they modulate neurotransmitter homeostasis, suppress neuroinflammation, and improve mood behaviors through the gut–brain axis interactions mediated by microbial metabolites. Conclusions: The complex associations among cancer, depression, and gut microbiota require further clarification. Modulating gut microbiota composition through dietary components represents a novel therapeutic strategy for improving cancer–depression comorbidity. Regulated gut microbiota enhance immune homeostasis and intestinal barrier function, while their metabolites bidirectionally modulate one another via systemic circulation and the gut–brain axis, thereby improving both the tumor microenvironment and depressive-like behaviors in cancer patients while reducing the adverse effects of cancer.
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The rise in mental health conditions and stress has attracted global attention. Non‐pharmacological and traditional approaches like meditative practices are showing promising results. Therefore, the aim of the study was to evaluate the effect of Heartfulness meditation on stress biomarkers, burnout, and well‐being. A double‐arm prospective randomized controlled study was carried out on 100 participants aged between 18 and 24 years, experiencing moderate to high perceived stress as assessed by the Perceived Stress Scale (PSS‐10). These participants were randomized into a study group (meditation) and control group (sham meditation). An intervention of Heartfulness meditation was carried out daily for 12 weeks. Psychometric analysis was carried out to study burnout (exhaustion, cynicism and professional efficacy) and well‐being using the standard validated questionnaires‐ Maslach Burnout Inventory (MBI) and WHO‐Well‐being Index (WHO‐WBI). Biochemical analysis was also carried out to study psychological stress (serum cortisol), and oxidative stress (serum nitrate/nitrite and serum malondialdehyde (MDA) at baseline and post‐intervention. Statistical analysis was carried out using the IBM SPSS software version 26.0. p values < 0.05 were considered statistically significant. A significant increase in serum nitrate/nitrite levels, professional efficacy, and well‐being, and a significant decrease in measures such as exhaustion, cynicism, and cortisol levels were observed in the study group than the control group post‐intervention. A significant negative correlation was also observed between serum MDA and well‐being, whereas a positive correlation was observed between MDA and cortisol. The findings from this research suggest the role of Heartfulness meditation in reducing stress and burnout along with improving the well‐being of an individual. Therefore, Heartfulness meditation can be used as a potential tool to improve mental health and well‐being. However, future studies with a larger number of samples are needed to strengthen our findings. Trial Registration: Clinical Trial Registry of India: CTRI/2023/10/058,423 ( https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=ODIyOTA=&Enc=&userName=CTRI/2023/10/058423 ).
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Context Many people are frightened by the word “cancer” alone, and they often suffer from psychological disturbances such as tension, depression, and other cognitive issues. Precipitating variables include uncertainty and anxiety about the future, shifts in social roles, and physical problems or their management. Aim The purpose of the study was to investigate the effectiveness of hypnotherapy in managing psychological disturbances like tension, depression, anger, and fatigue issues in persons with cancer. Settings and Design Nonrandomized controlled trials were conducted applying before and after control group research design. Matching based on mean and standard deviations was done. Subjects and Methods Using a convenience sample approach, 57 cancer patients in all were chosen from a semigovernment cancer hospital. Of these 57 participants, 30 were placed in the first group and received medical care as well as hypnosis as an intervention. The second group, which included an additional 27 individuals, received only medical care. The Profile of Mood States (POMS), created by McNair, Lorr, and Droppleman in 1971, was presented to the participants. Statistical Analysis Used The study employed the independent samples t-test and eta-squared statistics to examine the average difference in mood states between the experimental and control groups and to determine the extent of the intervention’s impact. Results The findings indicate that directional hypotheses on dependent measures are accepted at df = 55, P < 0.005 (one-tailed). Conclusion It proves that the intervention of hypnotherapy significantly affects the mental health of cancer patients. To be more specific, it increases the level of vigor and at the same time, it also decreases tension, depression, anger, fatigue, and confusion in patients.
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Murine and human data have indicated that tumors and tumor‐bearing hosts may exhibit nearly normal or markedly altered circadian rhythms. Amplitude damping, phase shifts, and/or period (τ) change, including appearance of ultradian rhythms (with τ < 20 hr) usually become more prominent at late stages of cancer development. The extent of rhythm alterations also varies according to tumor type, growth rate and level of differentiation. While “group chronotherapy,” i.e., administration of the same chronomodulated schedule to cancer patients, has increased chemotherapy efficacy and/or tolerability, cancer patients' individual circadian rhythms now need to be explored on a large scale, in order to estimate the incidence of cancer‐associated circadian‐system alterations and to understand the underlying mechanisms. Correlations between such alterations and patient outcome must be established in order to specify the need for individualized chronomodulated delivery schedules and/or specific rhythm‐oriented therapy, especially in patients with circadian‐system disturbance. Int. J. Cancer, 70:241–247, 1997. © 1997 Wiley‐Liss, Inc.
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The effect of psychosocial intervention on time of survival of 86 patients with metastatic breast cancer was studied prospectively. The 1 year intervention consisted of weekly supportive group therapy with self-hypnosis for pain. Both the treatment (n = 50) and control groups (n = 36) had routine oncological care. At 10 year follow-up, only 3 of the patients were alive, and death records were obtained for the other 83. Survival from time of randomisation and onset of intervention was a mean 36.6 (SD 37.6) months in the intervention group compared with 18.9 (10.8) months in the control group, a significant difference. Survival plots indicated that divergence in survival began at 20 months after entry, or 8 months after intervention ended.
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Murine and human data have indicated that tumors and tumor-bearing hosts may exhibit nearly normal or markedly altered circadian rhythms. Amplitude damping, phase shifts, and/or period (τ) change, including appearance of ultradian rhythms (with τ < 20 hr) usually become more prominent at late stages of cancer development. The extent of rhythm alterations also varies according to tumor type, growth rate and level of differentiation. While “group chronotherapy,” i.e., administration of the same chronomodulated schedule to cancer patients, has increased chemotherapy efficacy and/or tolerability, cancer patients' individual circadian rhythms now need to be explored on a large scale, in order to estimate the incidence of cancer-associated circadian-system alterations and to understand the underlying mechanisms. Correlations between such alterations and patient outcome must be established in order to specify the need for individualized chronomodulated delivery schedules and/or specific rhythm-oriented therapy, especially in patients with circadian-system disturbance. Int. J. Cancer, 70:241–247, 1997.
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Causal relationships among stress, immune suppression, and enhanced tumor development have often been suggested, but direct evidence is scant. We studied stress effects in Fischer 344 rats using a tumor model in which lung metastases of a syngeneic mammary tumor (MADB106) are controlled by natural killer (NK) cells. Animals exposed to acute stress showed a substantial decrease in NK cell cytotoxicity against this tumor in an in vitro assay and, when intravenously injected with this tumor, showed a twofold increase in surface lung metastases. The critical period during which stress increases metastases appears to be the same as that during which this tumor is known to be controlled by NK cells. These findings support the hypothesis that stress can facilitate the metastatic process via suppression of the immune system.
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