Xiaoping Chen’s research while affiliated with Indiana University Southeast and other places

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Publications (794)


Elucidating relationship between particle moisture and coating characteristics in a Wurster fluidized bed
  • Article

June 2025

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Advanced Powder Technology

Jinnan Guo

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Xiaoping Chen



Innovations and Breakthroughs in Surgical Techniques for Liver Cancer in China

May 2025

Surgery-based multimodality therapy is currently the primary treatment for liver cancer. In 1958, the Second Affiliated Hospital of Wuhan Medical College (now Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science & Technology) reported the first case of hepatectomy for liver cancer, marking the beginning of surgical treatment of liver cancer in China. The continuous advancement in liver surgery techniques has brought tremendous benefits to liver cancer patients. An epidemiological study was conducted by the Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science & Technology and the Liver Surgery Group of the Chinese Surgical Society, Chinese Medical Association on 42,573 patients who underwent hepatectomy (67% of whom had hepatocellular carcinoma; Fig. 10.1). The data collected from 112 medical institutions in China showed that the median overall survival time after hepatectomy was 631 days, and the 3- and 5-year overall survival rates were 28.8% and 19.6%, respectively (Fig. 10.2). The joint efforts of liver surgeons in the past decade have led to remarkable achievements in the surgical treatment of liver cancer in China.


Surgical Treatments for Liver Cancer with Portal Vein Tumor Thrombus or Portal Hypertension

May 2025

Liver cancer with portal vein tumor thrombosis (PVTT) is a significant adverse prognostic factor for patients with liver cancer. However, the incidence of PVTT is 12.5–39.7% in patients with liver cancer, up to 64.7% in autopsied patients with liver cancer, up to 90% in patients with advanced liver cancer, and 20–30% in patients with small liver cancer. The median survival time of patients with liver cancer complicated with PVTT in the natural course of the disease is 2.7–4.0 months, whereas that of patients with liver cancer without PVTT is 24.4 months. According to the Barcelona Clinic Liver Cancer (BCLC) staging system widely applied internationally, liver cancer with PVTT is classified as BCLC stage C. At present, there is no unified international standard for the treatment of liver cancer with PVTT, and the American Association for the Study of Liver Diseases (AASLD) and European Association for the Study of the Liver (EASL) recommend molecular targeted therapy (sorafenib/lenvatinib) as the only first-line treatment regimen, based on the BCLC staging system. The Hong Kong Liver Cancer Staging System recommends TACE as the first-line therapy for liver cancer with PVTT, but for tumors smaller than 5 cm in diameter with Child-Pugh class A liver function and intrahepatic vascular invasion, surgical resection is recommended. The Japan Society of Hepatology and the Asian Pacific Association for the Study of the Liver both recommend surgical resection as an option of the multiple treatment strategies for liver cancer with PVTT.


In vivo metabolic screening reveals ferroptosis regulators of CIT in ICC. (A) Representative tumor images of C57BL/6J mice bearing subcutaneous KP‐ICC tumors after indicated treatments (Placebo, GP, anti‐PD‐L1, or CIT; n = 5 per group). (B) in vivo CRISPR screening workflow. Male C57BL/6J mice (4‐5 weeks) were injected with KP‐ICC cells transfected with a mouse metabolic CRISPR library. Tumors were analyzed by NGS‐based sgRNA sequencing to identify regulators. Treatment groups are detailed in (A). (C) Scatter plots of absolute β scores (Wald P < 0.05) for CIT‐depleted genes versus GP (left) or anti‐PD‐L1 (right). Red/blue points: CIT/GP or CIT/anti‐PD‐L1 ratio > 1.5. (D) Schematic representation for the identification of potential ferroptosis‐associated modulators contributing to CIT resistance. (E) Longitudinal monitoring of tumor growth in mice implanted with KP‐ICC cells expressing Scr, shPck1 #1, or shPck1 #2. All mice received CIT treatment (GP + anti‐PD‐L1). (n = 5 per group). (F) Longitudinal monitoring of tumor growth in mice implanted with KP‐ICC cells expressing Scr or shPck1 #1. Tumor‐bearing mice were divided into 4 groups and treated with Placebo, GP, anti‐PD‐L1, or CIT for 2 weeks (n = 5 per group). (G) Assessment of relative lipid peroxidation and cell death in KP‐ICC cells expressing Scr, shPck1 #1 and shPck1 #2 at 36 h after treatment with GP. (H) Relative lipid peroxidation and cell death were assessed in OVA‐overexpressing KP‐ICC cells (Scr, shPck1 #1, and shPck1 #2) after 36 h of incubation with OT‐I T cells at a 1:1 effector‐to‐target ratio (n = 3 per group). All data are mean ± SD. Statistical significance was determined using 2‐way ANOVA for multiple group comparisons and unpaired 2‐tailed t‐tests for comparisons between 2 groups. * P < 0.05; ** P < 0.01; *** P < 0.001; ns, not significant.
Abbreviations: GP, gemcitabine + cisplatin; anti‐mPD‐L1, anti‐mouse programmed death‐ligand 1; CIT, chemo‐immunotherapy (gemcitabine + cisplatin+ anti‐mPD‐L1 antibody); NGS, next‐generation sequencing; CRISPR, clustered regularly interspaced short palindromic repeats; sgRNA, single‐guide RNA; gDNA, genome DNA; MAGeCK, model‐based analysis of genome‐wide CRISPR‐Cas9 knockout; MLE, maximum likelihood estimation; Pck1, phosphoenolpyruvate carboxykinase 1; Scr, scramble shRNA; shRNA, short hairpin RNA; OVA, ovalbumin.
Role of phosphorylated PCK1 in conferring ferroptosis resistance in ICC. (A) IP‐MS in KP‐ICC cells using an anti‐Pck1 antibody to identify phosphorylation‐modified peptides. (B) IP and WB assays were performed on Flag‐tagged Pck1WT, Pck1S90A, and Pck1T92A overexpressing KP‐ICC cells to validate the phosphorylation of Pck1 at S90 and T92 (pS/T, phospho‐serine/threonine). (C) IC50 curves of the given cell lines treated with RSL3. (D) Quantitative analysis of lipid peroxidation and cell death was performed in HuCCT‐1 WT and PCK1S90A HuCCT‐1 cells after 36 h of treatment with 10 µmol/L RSL3 (n = 3 per group). (E) Quantitative analysis of lipid peroxidation and cell death was performed in the given ICC cell lines after 36 h of 10 µmol/L RSL3 treatment with or without pre‐treatment of specific cell death inhibitors: DFO (ferroptosis inhibitor, 5 µmol/L), Lip1 (ferroptosis inhibitor, 300 nmol/L), Z‐V (apoptosis inhibitor, 10 µmol/L), and Nec‐1 (necroptosis inhibitor, 2 µmol/L), administered 1 h before RSL3 treatment. (F) To measure pAKT and pPCK1 activation levels in the given CCA cell lines (ICC/ECC), WB was performed on the indicated proteins, and the ratio of PCK1(pS90) to total PCK1 levels was determined. (G) Quantitative analysis of lipid peroxidation and cell viability was performed in the given CCA cell lines treated with 10 µmol/L RSL3 or 10 µmol/L FINO2 (a ferroptosis inducer) for 36 h. (H) WB was performed to assess pAKT‐pPCK1 activation‐related markers in 10 ICC‐PDOs, and the ratio of PCK1(pS90) to total PCK1 levels was determined. (I) Quantitative analysis of lipid peroxidation and cell death was performed in 10 ICC‐PDOs treated with 10 µmol/L RSL3 for 36 h. (J) Heatmap of cell viability assays in ICC‐PDOs (left panel)/ CCA cell lines (right panel) treated with GP (5 nmol/L gemcitabine and 1 µmol/L cisplatin) with specific ferroptosis inducers: Erastin (10 µmol/L), RSL3 (10 µmol/L), FINO2 (10 µmol/L), ML210 (1 µmol/L), ML162 (10 µmol/L), FIN56 (10 µmol/L), Simvastatin (10 nmol/L), and iFSP1 (200 nmol/L). All data are mean ± SD. Statistical significance was determined using 2‐way ANOVA for multiple group comparisons and unpaired 2‐tailed t‐tests for comparisons between 2 groups. * P < 0.05; ** P < 0.01; *** P < 0.001; ns, not significant.
Abbreviations: IP‐MS, immunoprecipitation followed by mass spectrometry; IC50, half maximal inhibitory concentration; ICC, intrahepatic cholangiocarcinoma; ECC, extrahepatic cholangiocarcinoma; CCA, cholangiocarcinoma; PDO, patient‐derived organoid; DFO, deferoxamine; Lip1, liproxstatin‐1; Z‐V, Z‐VAD‐FMK; Nec‐1, necrostatin‐1s; PCK1, phosphoenolpyruvate carboxykinase 1; AKT, protein kinase B; PTEN, phosphatase and tensin homolog; GPX4, glutathione peroxidase 4; GSH, glutathione; FSP1, ferroptosis suppressor protein 1; CoQ10H2, reduced coenzyme Q10 (Ubiquinol).
Inhibition of PCK1 phosphorylation augments CIT efficacy through ferroptosis. (A‐B) Cell death and lipid peroxidation were measured in HuCCT‐1 and QBC939 cells (Con and PCK1‐KO) treated with RSL3 (10 µmol/L) for 36 h, with or without 1 h pre‐treatment with Lip1 (300 nmol/L). (C) WB probed specific proteins in HuCCT‐1 cells (left); measurement of cell viability and lipid peroxidation in the given cells 36 h post 10 µmol/L RSL3 treatment (right). (D) Schematic representation of the TAT‐PPB peptide sequence. (E) Representative fluorescence microscopy images of ICC‐PDO treated with TAT‐PPB peptides (1 µg/mL). (F) Measurement of cell viability (left) and lipid peroxidation (right) in pAKT‐pPCK1 high ICC‐PDOs (ICC1 and ICC2) 36 h post treatment with GP and PPB (1 µg/mL). (G‐K) KP‐ICC cells were subcutaneously injected into C57BL/6J mice. One‐week post subcutaneous injection, mice received 2 weeks of indicated treatments. Subsequent analysis included: tumor general over view (G), intratumoral MDA concentrations (for lipid peroxidation evaluation) (H), CD3⁺CD8⁺ T cell percentages (I), TNFα⁺/IFNγ⁺ CD8⁺ T cell percentages (J) and IHC analysis for CD8⁺ T cell infiltration (K). All data are mean ± SD. Statistical significance was determined using 2‐way ANOVA for multiple group comparisons and unpaired 2‐tailed t‐tests for comparisons between 2 groups. * P < 0.05; ** P < 0.01; *** P < 0.001; ns, not significant.
Abbreviations: Con, control; WT, wild type; KO, knockout; rPCK1, PCK1‐KO + recombinant PCK1 overexpression; PCK1, phosphoenolpyruvate carboxykinase 1; Lip‐1, liproxstatin‐1; CIT, chemo‐immunotherapy; TAT, trans‐activator of transcription; PPB, PCK1 phosphorylation blocker; ICC, intrahepatic cholangiocarcinoma; PDO, patient‐derived organoid; MDA, malondialdehyde; IFNγ, interferon gamma; TNFα, tumor necrosis factor alpha.
pPCK1 modulates lactate metabolism‐mevalonate flux reprogramming, contributing to ferroptosis resistance in ICC. (A) The scheme summarizes the known function of PCK1. (B‐D) Assessment of glucose uptake (B), intracellular lactate concentrations (C), and PEPCK enzyme activity (D) in ICC cell lines with high pAKT‐pPCK1 activation (HuCCT‐1, HCCC‐9810) and low pAKT‐pPCK1 activation (QBC939, RBE), with or without PCK1 knockout. (E) Measurements of lipid peroxidation and cell death in HuCCT‐1‐WT or PCK1S90A HuCCT‐1 after 36 h of indicated treatments (10 mmol/L glucose; 10 mmol/L Pyruvate‐Na; 10 mmol/L Nala), followed by exposure to 10 µmol/L RSL3 for an additional 36 h. (F) Measurements of lipid peroxidation and cell viability in PCK1S90A HuCCT with 36 h of Nala treatments, followed by exposure to RSL3 for an additional 36 h. (G) Detection of intermediate metabolites in the MVA pathway (MVA, CoQ10H2, MK4) in HuCCT‐1‐WT/PCK1S90A HuCCT‐1‐/ PCK1S90D HuCCT‐1, with and without administration of Nala or 10 mmol/L 2‐DG for 24 h. (H) IC50 curves for HuCCT‐1 cells under indicated treatments (1 µg/mL PPB; 10mmol/L Nala; 500 µmol/L MVA‐Li). (I) The scheme summarizes the findings. Briefly, in AKT‐hyperactivated ICC, AKT phosphorylates PCK1 at Ser90, driving metabolic reprogramming (enhanced glycolysis/lipogenesis) and ferroptosis resistance. Mechanistically, pPCK1 activates the mevalonate pathway by enhancing glycolysis, boosting synthesis of radical‐scavenging antioxidants (CoQ10H2, MK4), thereby shielding cells from ferroptosis. All data are mean ± SD. Statistical significance was determined using 2‐way ANOVA for multiple group comparisons and unpaired 2‐tailed t‐tests for comparisons between 2 groups. * P < 0.05; ** P < 0.01; *** P < 0.001; ns, not significant.
Abbreviations: 2‐NBDG, 2‐(n‐(7‐nitrobenz‐2‐oxa‐1,3‐diazol‐4‐yl) amino)‐2‐deoxyglucose; PEPCK, phosphoenolpyruvate carboxykinase; Pyruvate‐Na, sodium pyruvate; PUFA, polyunsaturated fatty acid; MUFA, monounsaturated fatty acid; MVA, mevalonate; MVA‐Li, mevalonic acid lithium salt; CoQ10H2, reduced coenzyme Q10 (Ubiquinol); MK4, menaquinone‐4; Nala, sodium L‐lactate; 2‐DG, 2‐deoxyglucose.
The pPCK1‐pLDHA axis promotes the translocation of SCAP, thereby facilitating MVA flux reprogramming in ICC. (A) IP assays conducted in PCK1‐KO HuCCT‐1 cells re‐expressing PCK1WT (rPCK1WT) or PCK1S90A (rPCK1S90A) using anti‐PCK1 antibody. The precipitated PCK1‐binding peptides were resolved by SDS‐PAGE and visualized with silver stain. Notable peptide hits associated with PCK1 identified via IP‐MS are indicated. (B) Potential phosphorylation sites on LDHA were identified using SCANSITE and PhosphoSite analysis. Wild‐type LDHA (LDHAWT) and its indicated mutation were overexpressed in HuCCT‐1 cells, followed by IP with anti‐HA antibody and subsequent WB analysis. (C) HEK‐293T cells expressing His‐LDHAWT or His‐LDHAT248A were purified, and LDHA enzyme activity was detected. (D) Representative immunofluorescence colocalization studies were performed to assess the colocalization of PCK1 and LDHA in specified ICC cells. Pearson's coefficients between PCK1 and LDHA in each group were presented. (E) in vitro kinase assay of purified recombinant His‐tagged PCK1WT, His‐PCK1S90A, or His‐PCK1C288S with active His‐AKT in the presence of ATP, followed by interaction assays with Myc‐tagged LDHA in the presence of GTP. (F) Representative immunofluorescence images of the localization of SCAP (green), GM130 (Golgi marker, red), and nuclei (DAPI, blue) in HuCCT‐1‐WT or PCK1S90A HuCCT‐1 after the indicated treatments for 36 h. Treatments included 10 mmol/L 2‐DG; 10 nmol/L GSK 2837808A (specific LDHA inhibitor); 10 mmol/L Nala. (G) Representative immunofluorescence images showing SREBP2 (green) localization in the nucleus (DAPI, blue) in HuCCT‐1‐WT or PCK1S90A HuCCT‐1 after the indicated treatments. (H) The scheme summarizes the findings. Xu et al. found that in AKT‐hyperactivated HCC, pPCK1 promotes SCAP translocation from the ER to the Golgi by binding and phosphorylating INSIGs. However, our work found that in AKT‐hyperactivated ICC, pPCK1 cannot bind to INSIGs but can still regulate SCAP translocation by directly binding and phosphorylating LDHA at T248 in a lactate‐dependent manner. All data are mean ± SD. Statistical significance was determined using 2‐way ANOVA for multiple group comparisons and unpaired 2‐tailed t‐tests for comparisons between 2 groups. * P < 0.05; ** P < 0.01; *** P < 0.001; ns, not significant.
Abbreviations: IP, immunoprecipitation; rPCK1WT/S90A/S90D, PCK1‐KO+recombinant PCK1WT/S90A/S90D overexpression; PCK1, phosphoenolpyruvate carboxykinase 1; LDHA, lactate dehydrogenase A; WT, wild type; SCAP, SREBP cleavage activating protein; GM130, golgi matrix protein of 130 kDa; Nala, sodium L‐lactate; 2‐DG, 2‐deoxyglucose; SREBP2, sterol regulatory element‐binding protein 2; AKT, protein kinase B; INSIG1/2, insulin induced gene 1/2; ER, endoplasmic reticulum.

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Simvastatin overcomes the pPCK1‐pLDHA‐SPRINGlac axis‐mediated ferroptosis and chemo‐immunotherapy resistance in AKT‐hyperactivated intrahepatic cholangiocarcinoma
  • Article
  • Full-text available

May 2025

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11 Reads

Background Intrahepatic cholangiocarcinoma (ICC) is a challenging cancer with an increasing incidence. The Phase III TOPAZ‐1/KEYNOTE‐966 study demonstrated chemo‐immunotherapy (CIT) as a significant advancement, potentially replacing traditional chemotherapy for advanced biliary tract cancer. Ferroptosis is a crucial process that affects cancer cell survival and therapy resistance. Although AKT hyperactivation is prevalent in numerous cancers, including ICC, its role in ferroptosis resistance remains unclear. This study explored whether targeting ferroptosis can enhance CIT response rates, specifically in ICC patients with AKT hyperactivation. Methods In vivo metabolic CRISPR screening in a KrasG12D/Tp53−/− ICC mouse model was used to identify primary regulators of ferroptosis during CIT (gemcitabine, cisplatin, and anti‐mouse programmed cell death 1 ligand 1). Phosphoenolpyruvate carboxykinase 1 (PCK1) was assessed for its role in ferroptosis and treatment resistance in preclinical models under AKT activation levels. Molecular and biochemical techniques were used to explore PCK1‐related resistance mechanisms in AKT‐hyperactivated ICC. Results Under AKT hyperactivation condition, phosphorylated PCK1 (pPCK1) promoted metabolic reprogramming, enhancing ubiquinol and menaquinone‐4 synthesis through the mevalonate (MVA) pathway. This cascade was mediated by the pPCK1‐pLDHA‐SPRINGlac axis. Inhibiting PCK1 phosphorylation or using simvastatin significantly augmented CIT efficacy in preclinical models. Clinical data further indicated that phosphorylated AKT (pAKT)‐pPCK1 levels might serve as a biomarker to predict CIT response in ICC. Conclusion This study identified the pAKT‐pPCK1‐pLDHA‐SPRINGlac axis as a novel mechanism driving ferroptosis resistance in AKT‐hyperactivated ICC by associating glycolytic activation with MVA flux reprogramming. Targeting this axis, potentially through statin‐based therapies, may offer a strategy to sensitize ICC cells to ferroptosis and improve treatment outcomes.

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Stroke Incidence Evolution in People With Newly Diagnosed Diabetes and Impaired Glucose Tolerance: A 34-Year Follow-up of the Da Qing Diabetes Study

May 2025

Diabetes Care

OBJECTIVE To examine the incidence of stroke in Chinese adults with newly diagnosed type 2 diabetes (NDD), impaired glucose tolerance (IGT), and normal glucose tolerance (NGT) over a 34-year follow-up period. RESEARCH DESIGN AND METHODS This cohort study included participants with NDD, IGT, and NGT initially identified in 1986 in the Da Qing Diabetes Prevention Study who were followed up for 34 years. Patients with IGT were randomized into a 6-year lifestyle intervention or control group. The stroke incidence and hazard ratios (HRs) were determined across the three glucose-level groups. RESULTS Over 34 years, the cumulative stroke incidence in the NDD, IGT nonintervention, and IGT intervention groups were 65.4%, 62.8%, and 49.8%, respectively. The annual incidence in the NDD group was significantly higher than that in the NGT group (24.3 vs. 18.5 per 1,000 person-years), after adjusting for age and sex. After adjusting for risk factors, the risk of stroke was significantly higher in the NDD (HR 1.80, 95% CI 1.46–2.21, P < 0.001), IGT nonintervention (HR 1.52, 95% CI 1.11–2.07, P = 0.008), and IGT intervention (HR 1.33, 95% CI 1.17–1.63, P = 0.01) groups than in the NGT group. A reduced stroke risk was observed in the overall IGT intervention group compared with the NDD group (HR 0.77, 95% CI 0.64–0.94, P = 0.009), especially in women (HR 0.64, 95% CI 0.47–0.88, P = 0.006). CONCLUSIONS Over 34 years, ∼50% of Chinese adults with NDD and IGT experienced stroke. Further efforts in diabetes management and intervention are required.



mA‐Mediated TMCO3 Promotes Hepatocellular Carcinoma Progression by Facilitating the Membrane Translocation and Activation of AKT

April 2025

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3 Reads

The transmembrane and coiled‐coil domains 3 (TMCO3) are highly expressed in many tumors. However, the underlying mechanisms governing the way in which TMCO3 affects the progression of hepatocellular carcinoma (HCC) remain unclear. This study screens out the molecule TMCO3 with high N6‐methyladenosine (m⁶A) modification level in tumor samples compared to the adjacent non‐cancerous tissues of three pairs of HCC patients through Methylated RNA Immunoprecipitation Sequencing (MeRIP‐seq) and RNA sequencing (RNA‐seq). Subsequently, the oncogenic effect of TMCO3 in HCC is verified through in vivo and in vitro experiments. AlkB Homolog 5 (ALKBH5), an m⁶A demethylase of TMCO3 is then screened out. The following experiments demonstrate that TMCO3 can activate AKT directly through the Phosphatidylinositol‐3–Kinase (PI3K) pathway, thus promoting the progression of HCC. Meanwhile, the phosphorylation site on TMCO3: the 85th amino acid‐serine, and mutation of this site can directly impair the activity and membrane translocation of AKT is found. Finally, the carcinogenic effect of TMCO3 is further elucidated in HCC through the orthotopic treatment model and the hydrodynamic tail vein injection treatment model. The findings can provide a potential target for targeted AKT treatment in patients with HCC and verify a possible prognostic marker in HCC.


Multivariate Cox regression analysis with cancer free time as a dependent variable over 30 years follow-up.
Younger-onset type 2 diabetes associated with increased long-term cancer risk in Chinese adults: A 30-year follow-up of the Da Qing Diabetes Study

April 2025

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5 Reads

BJC Reports

Background We investigated the association between younger-onset type 2 diabetes, duration of diabetes, and cancer risk based on data from the Da Qing Diabetes Prevention Outcome Study (DQDPOS). Methods The analysis recruited 620 younger-onset (age≤50 years) and 649 older-onset (age>50 years) patients with type 2 diabetes, and 310 younger non-diabetes controls (age≤50 years). Multiple regression analysis was used to test the influence of younger-onset diabetes and duration of diabetes on the long-term risk of cancer. Results The annual incidence of all cancer among the non-diabetes, younger-, and older-onset type 2 diabetes was significantly different (3.7, 5.5, and 4.0/1000 person-years, respectively). The standard Cox analysis revealed that the patients with younger-onset diabetes had a significantly higher risk of cancer than those with older-onset diabetes (hazard ratio [HR]:1.81; 95% confidence interval [CI]:1.20–2.73) and younger non-diabetic controls (HR:2.43; 95% CI:1.34–4.41) after adjustment for diabetes duration and other confounders. Stepwise general linear regression model analysis revealed that a longer diabetes-free time was associated with longer lifetime cancer-free years (partial R² = 0.36, p < 0.001), in addition to the non-modifiable predictor duration of diabetes. Conclusions Younger-onset type 2 diabetes was significantly associated with an increased risk of cancer beyond the influence of diabetes duration.


Citations (39)


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Chemical Engineering Science

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Neuroscience of cancer: unraveling the complex interplay between the nervous system, the tumor and the tumor immune microenvironment

Molecular Cancer

... Given the molecular and etiological diversity of HCC, it is possible that the prognostic impact of TG2 becomes more evident when focusing on specific subtypes. Indeed, recently, R. Dong et al. demonstrated that high TG2 expression is predictive of a poor prognosis in the form of HCC whose etiological background includes hepatitis B virus infection [26]. These findings highlight the importance of evaluating TG2-related malignancy in a subtype-or context-dependent manner. ...

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  • January 2025

Journal of Hepatology

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Expert consensus on sequential surgery following conversion therapy based on combination of immune checkpoint inhibitors and antiangiogenic targeted drugs for advanced hepatocellular carcinoma (2024 edition)
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  • December 2024

Bioscience Trends

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Gut microbiota-mediated gut-liver axis: a breakthrough point for understanding and treating liver cancer
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  • December 2024

Clinical and Molecular Hepatology