Rui Zhao’s research while affiliated with Tongji Medical University and other places

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Publications (6)


Flow chart of literature selection.
Forest plots of the association between pretreatment CTCs status and prognosis in patients with SCLC. (A, B) the impact of higher pretreatment CTCs level detected by CellSearch (A) and other methods (B) and OS; (C, D) the impact of higher pretreatment CTCs level detected by CellSearch (C) and other methods (D) on PFS. CTCs, circulating tumor cells; SCLC, small cell lung cancer; OS, overall survival; PFS, progression-free survival.
Forest plots of the association between post-therapy CTCs status and prognosis in patients with SCLC. (A, B) the impact of higher post-therapy CTCs level detected by CellSearch (A) and other methods (B) on OS; (C) the impact of higher post-therapy CTCs level detected by CellSearch on PFS. CTCs, circulating tumor cells; SCLC, small cell lung cancer; OS, overall survival; PFS, progression-free survival.
Sensitivity analyses and funnel plots of the impact of higher pretreatment CTCs status detected by CellSearch on prognosis in patients with SCLC. (A, B) sensitivity analyses of the impact of higher pretreatment CTCs level detected by CellSearch on OS (A) and PFS (B); (C, D) funnel plots of the impact of higher pretreatment CTCs status detected by CellSearch on OS (C) and PFS (D). CTCs, circulating tumor cells; SCLC, small cell lung cancer; OS, overall survival; PFS, progression-free survival.
Baseline characteristics of the included studies.

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Assessment of the Clinical Utility of Circulating Tumor Cells at Different Time Points in Predicting Prognosis of Patients With Small Cell Lung Cancer: A Meta-Analysis
  • Article
  • Full-text available

October 2021

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39 Reads

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5 Citations

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Hao-Ran Zheng

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Na Liu

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[...]

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Yu Yao

Objectives Numerous studies have elucidated that circulating tumor cells (CTCs) have significant prognostic value in various solid tumors. However, the prognostic value of CTCs in small cell lung cancer (SCLC) remains controversial. The current study was performed to investigate the prognostic significance of different time points of CTCs in SCLC. Methods PubMed, EMBASE, Web of Science, and Cochrane Library databases were retrieved for eligible studies. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to investigate the association between CTCs level and overall survival (OS) and progression-free survival (PFS) in SCLC. Furthermore, subgroup analyses, sensitivity analysis, Begg’s and Egger’s tests were also conducted. Results Sixteen cohort studies with 1103 participants were eligible for this meta-analysis. Our results revealed that higher pretreatment CTCs level was significantly correlated with worse OS in SCLC no matter CellSearch (HR, 2.95; 95%CI, 1.56-5.58; P = .001) or other methods (HR, 2.37; 95%CI, 1.13-4.99; P = .023) was used to detect CTCs. Higher pretreatment CTCs status detected by CellSearch was associated with shorter PFS (HR, 3.75; 95%CI, 2.52-5.57; P < .001), while there was no significant association when other methods were adopted to CTC detection (HR, 2.04; 95%CI, .73-5.68; P = .172). Likewise, we observed that higher post-therapy CTCs level detected by both CellSearch (HR, 2.99; 95%CI, 1.51-5.93; P = .002) and other methods (HR, 4.79; 95%CI, 2.03-11.32; P < .001) was significantly correlated with decreased OS in SCLC. However, higher post-therapy CTCs count detected by CellSearch was not correlated with worse PFS (HR, 1.80; 95%CI, .83-3.90; P = .135). Sensitivity analysis demonstrated that the pooled data were still stable after eliminating studies one by one. However, significant publication bias was observed between pretreatment CTCs level detected by CellSearch and OS of SCLC. Conclusion Dynamic monitoring of CTCs level could be a non-invasive and effective tool to predict the disease progression and prognosis in patients with SCLC.

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Construction and Validation of a Novel Nomogram to Predict the Overall Survival of Patients With Combined Small Cell Lung Cancer: A Surveillance, Epidemiology, and End Results Population-Based Study

October 2021

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54 Reads

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6 Citations

Introduction: Combined small cell lung cancer (C-SCLC) represents a rare subtype of all small cell lung cancer cases, with limited studies investigated its prognostic factors. The aim of this study was to construct a novel nomogram to predict the overall survival (OS) of patients with C-SCLC. Methods: In this retrospective study, a total of 588 C-SCLC patients were selected from the Surveillance, Epidemiology, and End Results database. The univariate and multivariate Cox analyses were performed to identify optimal prognostic variables and construct the nomogram, with concordance index (C-index), receiver operating characteristic curves, and calibration curves being used to evaluate its discrimination and calibration abilities. Furthermore, decision curve analysis (DCA), integrated discrimination improvement (IDI), and net reclassification index (NRI) were also adopted to assess its clinical utility and predictive ability compared with the classic TNM staging system. Results: Seven independent predictive factors were identified to construct the nomogram, including T stage, N stage, M stage, brain metastasis, liver metastasis, surgery, and chemotherapy. We observed a higher C-index in both the training (.751) and validation cohorts (.736). The nomogram has higher area under the curve in predicting 6-, 12-, 18-, 24-, and 36-month survival probability of patients with C-SCLC. Meanwhile, the calibration curves also revealed high consistencies between the actual and predicted OS. DCA revealed that the nomogram could provide greater clinical net benefits to these patients. We found that the NRI for 6- and 12-month OS were .196 and .225, and the IDI for 6- and 12-month OS were .217 and .156 in the training group, suggesting that the nomogram can predict a more accurate survival probability. Similar results were also observed in the validation cohort. Conclusion: We developed and verified a novel nomogram that can help clinicians recognize high-risk patients with C-SCLC and predict their OS.


Clinical outcomes and prognostic factors in bloodstream infections due to extended-spectrum β-lactamase-producing Enterobacteriaceae among patients with malignancy: a meta-analysis

November 2020

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34 Reads

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11 Citations

Annals of Clinical Microbiology and Antimicrobials

Background The colonization of Extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) in bloodstream infections (BSIs) has been increased dramatically worldwide, and it was associated with worse clinical outcomes in patients with malignancy. We performed the meta-analysis to investigate the prognosis and risk factors in BSIs caused by ESBL-PE in oncological patients. Methods PubMed, EMBASE, and Cochrane Library were searched for related studies. All-cause mortality was considered as the primary outcome. Subgroup analyses, meta-regression analyses, and sensitivity analysis were used to investigate heterogeneity and reliability in results. Results 6,729 patients from 25 studies were eligible. Six studies enrolled oncological patients with BSIs caused by ESBL-PE only, while 19 studies both enrolled ESBL-PE and non-ESBL-PE infections. The results showed that BSIs caused by ESBL-PE in patients with malignancy was associated with higher mortality than non-ESBL-PE infections (RR = 2.21, 95% CI: 1.60–3.06, P < 0.001), with a significant between-study heterogeneity (I² =78.3%, P < 0.001). Subgroup analyses showed that children (RR = 2.80, 95% CI: 2.29–3.43, P < 0.001) and hematological malignancy (RR = 3.20, 95% CI: 2.54–4.03, P < 0.001) were associated with a higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality. Conclusions Our study identified that BSIs caused by ESBL-PE in patients with malignancy were associated with worse clinical outcomes compared with non-ESBL-PE infections. Furthermore, children and hematological malignancy were associated with higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality.


Figure 2 Forest plot of the association between low PNI status and OS in patients with SCLC. PNI, prognostic nutritional index; OS, overall survival; SCLC, small cell lung cancer.
Figure 3 Forest plot of the association between low PNI status and PFS in patients with SCLC. PNI, prognostic nutritional index; PFS, progression-free survival; SCLC, small cell lung cancer.
Quality assessment conducted according to the NOS for all included studies
Subgroup analyses for low PNI status on OS in SCLC patients
The prognostic value of pretreatment prognostic nutritional index in patients with small cell lung cancer and it's influencing factors: A meta-analysis of observational studies

October 2020

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23 Reads

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18 Citations

Journal of Thoracic Disease

Background: Numerous studies identified that pretreatment prognostic nutritional index (PNI) was significantly associated with the prognosis in various kinds of malignant tumors. However, the prognostic value of PNI in small cell lung cancer (SCLC) remains controversial. We performed the present meta-analysis to estimate the prognostic value of PNI in SCLC and to explore the relationship between PNI and clinical characteristics. Methods: We systematically and comprehensively searched PubMed, EMBASE, and Web of Science for available studies until April 17, 2020. Pooled hazard ratios (HRs) and their 95% confidence intervals (CIs) were used to evaluate the correlation between PNI and overall survival (OS) and progression-free survival (PFS) in SCLC. Odds ratios (ORs) and 95% CIs were applied to evaluate the relationship between clinical features and PNI in SCLC. Results: A total of nine studies with 4,164 SCLC patients were included in the meta-analysis. The pooled data elucidated that lower PNI status was an independent risk factor for worse OS in SCLC (HR =1.43; 95% CI: 1.24-1.64; P<0.001), while there was no significant correlation between PNI status and PFS (HR =1.44; 95% CI: 0.89-2.31; P=0.134). We also found that Eastern Cooperative Oncology Group (ECOG) performance status ≥2 (OR =2.72; 95% CI: 1.63-4.53; P<0.001) and extensive-stage (ES) disease (OR =1.93; 95% CI: 1.62-2.30; P<0.001) were risk factors for low PNI, while prophylactic cranial irradiation (PCI) (OR =0.53; 95% CI: 0.40-0.69; P<0.001) was a protective factor for low PNI. Conclusions: Our findings suggested that low PNI status was closely correlated with the decreased OS in SCLC. Surveillance on PNI, amelioration of nutritional and immune status, and timely initiation of PCI may improve the prognosis of SCLC.


Figure 2
Subgroup analysis for meta-analysis of mortality.
Clinical outcomes and prognostic factors in bloodstream infections due to extended-spectrum β-lactamase-producing Enterobacteriaceae among patients with malignancy: a meta-analysis

February 2020

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25 Reads

Background The colonization of Extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) in bloodstream infections (BSIs) has been increased dramatically worldwide, and it was associated with worse clinical outcomes in patients with malignancy. We performed the meta-analysis to investigate the prognosis and risk factors in BSIs caused by ESBL-PE in oncological patients. Methods PubMed and EMBASE were searched for related studies. All-cause mortality was considered as the primary outcome. Subgroup analyses, meta-regression analyses, and sensitivity analysis were used to investigate heterogeneity and reliability in results. Results 6729 patients from 25 studies were eligible. Six studies enrolled oncological patients with BSIs caused by ESBL-PE only, while 19 studies both enrolled ESBL-PE and non-ESBL-PE infections. The results showed that BSIs caused by ESBL-PE in patients with malignancy was associated with higher mortality than non-ESBL-PE infections (RR = 2.21, 95% CI: 1.60–3.06, P < 0.001), with a significant between-study heterogeneity (I2 = 78.3%, P < 0.001). Subgroup analyses showed that children (RR = 2.80, 95% CI: 2.29–3.43, P < 0.001) and hematological malignancy (RR =3.20, 95% CI: 2.54–4.03, P < 0.001) were associated with a higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality. Conclusions Our study identified that BSIs caused by ESBL-PE in patients with malignancy was associated with worse clinical outcomes compared with non-ESBL-PE infections. Furthermore, children and hematological malignancy were associated with higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality.


Clinical outcomes and prognostic factors in bloodstream infections due to extended-spectrum β-lactamase-producing Enterobacteriaceae among patients with malignancy: a meta-analysis

February 2020

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26 Reads

Background: The colonization of Extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) in bloodstream infections (BSIs) has been increased dramatically worldwide, and it was associated with worse clinical outcomes in patients with malignancy. We performed the meta-analysis to investigate the prognosis and risk factors in BSIs caused by ESBL-PE in oncological patients. Methods: PubMed, EMBASE, and Cochrane Library were searched for related studies. All-cause mortality was considered as the primary outcome. Subgroup analyses, meta-regression analyses, and sensitivity analysis were used to investigate heterogeneity and reliability in results. Results: 6,729 patients from 25 studies were eligible. Six studies enrolled oncological patients with BSIs caused by ESBL-PE only, while 19 studies both enrolled ESBL-PE and non-ESBL-PE infections. The results showed that BSIs caused by ESBL-PE in patients with malignancy was associated with higher mortality than non-ESBL-PE infections (RR = 2.21, 95 % CI: 1.60–3.06, P < 0.001), with a significant between-study heterogeneity (I2 = 78.3%, P < 0.001). Subgroup analyses showed that children (RR = 2.80, 95 % CI: 2.29–3.43, P < 0.001) and hematological malignancy (RR =3.20, 95 % CI: 2.54–4.03, P < 0.001) were associated with a higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality. Conclusions: Our study identified that BSIs caused by ESBL-PE in patients with malignancy were associated with worse clinical outcomes compared with non-ESBL-PE infections. Furthermore, children and hematological malignancy were associated with higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality.

Citations (4)


... A meta-analysis of 16 studies found a high CTC number pre-and post-therapy correlated with poor OS despite significant heterogeneity among the studies (I 2 = 81.8-87.1%) [44]. ...

Reference:

Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients
Assessment of the Clinical Utility of Circulating Tumor Cells at Different Time Points in Predicting Prognosis of Patients With Small Cell Lung Cancer: A Meta-Analysis

... Therefore, accurately identifying and selecting the BM high-risk population who may benefit from PCI is very important. However, previously established nomogram models all focused on predicting OS in SCLC patients with all stages or extensive stages [20][21][22][23]. In the study conducted by Li et al., the multivariate analysis suggested that increasing age, male sex, and higher T stage were independent risk factors for BM in SCLC patients at presentation, and those patients with BM showed inferior survival to those without BM. ...

Construction and Validation of a Novel Nomogram to Predict the Overall Survival of Patients With Combined Small Cell Lung Cancer: A Surveillance, Epidemiology, and End Results Population-Based Study

... Further, several of the included studies had few participants, and they included other pathogens than E. coli. Still, more recent meta-analyses support the initial findings of a higher mortality among third generation cephalosporin resistant Enterobacterales versus cephalosporin susceptible isolates, although again, estimates might be influenced by heterogenous study designs and a lack of adjusting for confounders [14][15][16][17]. In contrast, other studies examining E. coli BSIs show no impact of ESBL-production on mortality [18][19][20][21], although none of these are meta-analyses and they differ in design, study populations and use of empirical antibiotics. ...

Clinical outcomes and prognostic factors in bloodstream infections due to extended-spectrum β-lactamase-producing Enterobacteriaceae among patients with malignancy: a meta-analysis

Annals of Clinical Microbiology and Antimicrobials

... 95% CI: 1.24-1.64, P 0.001) among SCLC patients [28]. Therefore, we deem that it is still needed to further explore the predictive role of pretreatment PNI for the prognosis in extensive-stage SCLC receiving first-line immunotherapy combined with chemotherapy. ...

The prognostic value of pretreatment prognostic nutritional index in patients with small cell lung cancer and it's influencing factors: A meta-analysis of observational studies

Journal of Thoracic Disease