SURVIVAL ANALYSIS OF PEDIATRIC WILMS TUMOR  BASED ON RISK STRATIFICATION

Objective: This study aims to determine prognostic factors of WT patient in Adam Malik Hospital, Medan. Material & Methods: at Adam Malik Hospital, Medan. Univariate and multivariate Cox regression analyses were performed to determine independent prognostic factors for WT. The primary endpoint of this study were patients’ overall survival (OS) obtained by performing Kaplan-Meier analysis on significant variables. Results: From the univariate Cox regression analysis, gender was found to be the sole significant factor (HR = 0.218, p = 0.005) with males have a higher hazard ratio. The multivariate Cox regression analysis yielded age of diagnosis (HR = 13.860, p = 0.014) and incomplete tumor removals (HR = 0.056, p = 0.008). Kaplan-Meier analysis were performed on three significant variables mentioned before. Only gender yielded a significant Mantel-Cox log-rank score (p = 0.002) with male patients were found to have better survivability (which median survival 476 days compared to females’ 11 days). The survival of the boys was 45.45% while all of the girls did not survive until the cut-off. Conclusion: Three prognostic factors, including children’s gender, age of diagnosis, and tumor removal status, were confirmed to be prognostic factors for the overall survival of children with WT. Further studies covering broader demographic areas were suggested to confirm significant results.

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Incidence, Survival, and Associated Factors Estimation in Osteosarcoma Patients with Lung Metastasis: A Single-center Experience of 11 Years in Tianjin, China

10.21203/rs.3.rs-1071152/v1 ◽

2021 ◽

Author(s):

Chao Zhang ◽

Haixiao Wu ◽

Guijun Xu ◽

Wenjuan Ma ◽

Lisha Qi ◽

...

Keyword(s):

Risk Factors ◽

Overall Survival ◽

Regression Analysis ◽

Prognostic Factors ◽

Lung Metastasis ◽

Associated Factors ◽

Cox Regression ◽

Cancer Center ◽

Single Center ◽

Cox Regression Analysis

Abstract Background: Osteosarcoma is the most common primary malignant bone tumor. The current study was conducted to describe the general condition of patients with primary osteosarcoma in a single cancer center in Tianjin, China and to investigate the associated factors in osteosarcoma patients with lung metastasis. Methods: From February 2009 to October 2020, patients from Tianjin Medical University Cancer Institute and Hospital, China were retrospectively analyzed. The Kaplan–Meier method was used to evaluate the overall survival of osteosarcoma patients. Prognostic factors of patients with osteosarcoma were identified by the Cox proportional hazard regression analysis. Risk factor of lung metastasis in osteosarcoma were investigated by the logistic regression model. Results: A total of 203 patients were involved and 150 patients were successfully followed up for survival status. The 5-year survival rate of osteo-sarcoma patients was 70.0%. Surgery, bone and lung metastasis were the significant prognostic factors in multivariable Cox regression analysis. Twenty-one (10.3%) patients showed lung metastasis at the diagnosis of osteosarcoma and 67 (33%) lung metastases during the later course. T3 stage (OR=11.415, 95%CI 1.362-95.677, P=0.025) and synchronous bone metastasis (OR=6.437, 95%CI 1.69-24.51, P=0.006) were risk factors of synchronous lung metastasis occurrence. Good necrosis (≥90%, OR=0.097, 95%CI 0.028-0.332, P=0.000) and elevated Ki-67 (≥50%, OR=4.529, 95%CI 1.241-16.524, P=0.022) were proved to be significantly associated with metachronous lung metastasis occurrence. Conclusion: The overall survival, prognostic factors and risk factors for lung metastasis in this single center provided insight about osteosarcoma management.

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Impact of cytoreductive surgery on outcomes of metastatic appendiceal carcinoma: a real-world, population-based study

Journal of Comparative Effectiveness Research ◽

10.2217/cer-2019-0179 ◽

2020 ◽

Vol 9 (6) ◽

pp. 431-439

Author(s):

Omar Abdel-Rahman

Keyword(s):

Overall Survival ◽

Regression Analysis ◽

Metastatic Disease ◽

Cytoreductive Surgery ◽

Mucinous Adenocarcinoma ◽

Cox Regression ◽

Cancer Specific Survival ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Appendiceal Carcinoma

Aim: To evaluate the impact of cytoreductive surgery on the outcomes of patients with metastatic appendiceal carcinoma. Methods: Surveillance, Epidemiology and End Results (SEER) database was accessed and patients with metastatic appendiceal carcinoma diagnosed (2010–2015) were reviewed. Kaplan–Meier survival estimates/log-rank testing were then used to assess overall survival outcomes according to cytoreductive surgery. Multivariable Cox regression analysis was then used to evaluate factors affecting cancer-specific survival. Factors included in this model were age, race, sex, stage and histology and cytoreductive surgery. Results: A total of 1339 patients with metastatic appendiceal carcinoma were included in the current study. Using Kaplan–Meier survival estimates to evaluate overall survival, patients with surgery for metastatic disease have better overall survival compared with patients without surgery for metastatic disease (p < 0.001). Stratifying survival analysis according to histology, the overall survival benefit from surgery for the metastases seems to be limited to patients with mucinous adenocarcinoma (p = 0.002) rather than patients with nonmucinous adenocarcinoma (p = 0.401). Multivariable Cox regression analysis was then conducted to evaluate factors predicting cancer-specific survival. The following factors were associated with worse cancer-specific survival: African-American race (hazard ratio [HR]: 1.356; 95% CI: 1.036–1.774; p = 0.026), more advanced stage (HR: 3.910; 95% CI: 2.735–5.588; p < 0.001), nonmucinous adenocarcinoma (HR for signet ring carcinoma vs mucinous adenocarcinoma: 2.119; 95% CI: 1.674–2.683; p < 0.001) and no surgical resection of metastatic disease (HR: 1.273; 95% CI: 1.067–1.519; p < 0.001). Conclusion: The current study suggests that among patients with metastatic appendiceal carcinoma, surgical cytoreduction of metastatic disease is associated with improved outcomes for patients with mucinous adenocarcinoma but not in patients with nonmucinous adenocarcinoma.

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Nomogram to predict survival of pulmonary large-cell neuroendocrine carcinoma after surgery

10.21203/rs.3.rs-17339/v1 ◽

2020 ◽

Author(s):

Qian Huang ◽

Jie Liu ◽

Huifang Cai ◽

Qi Zhang ◽

Lina Wang

Keyword(s):

Overall Survival ◽

Regression Analysis ◽

Prognostic Factors ◽

Neuroendocrine Carcinoma ◽

Cox Regression ◽

Predictive Performance ◽

Large Cell ◽

Large Cell Neuroendocrine Carcinoma ◽

Operating Characteristics ◽

Cox Regression Analysis

Abstract Background Pulmonary large-cell neuroendocrine carcinoma (LCNEC) is a rare primary malignant tumor with a poor prognosis, and surgery is the main treatment. However, there are no effective predictive tools to assess the prognosis of postoperative patients. Our aim is to identify prognostic factors and construct nomogram to accurately assess prognosis. Methods Patients were identified in the Surveillance, Epidemiology, and End Results (SEER) database. Based on the results of Cox regression analysis, construct nomogram for predicting 1-, 3-, and 5-year survival. The predictive performance of nomogram was evaluated using the consistency index (C-index), the area under the receiver operating characteristics curve (AUC), and calibration plots. Results We finally screened 903 patients with pulmonary LCNEC who underwent surgery. The Cox regression analysis showed that age, SEER stage, T stage, N stage, M stage, tumor size, and chemotherapy were independent prognostic factors for overall survival (P<0.05). The C-index of the nomogram is 0.681 on the training cohort and 0.675 on the validation cohort. The AUC and calibration plots show that the nomogram has good performance. Conclusion We constructed and validated nomogram for predicting 1-, 3-, and 5-year survival of patients with pulmonary LCNEC after surgery. Our nomogram provides reference information for assessing the overall survival of these patients.

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Role of the TGFβ/PDCD4/AP-1 Signaling Pathway in Nasopharyngeal Carcinoma and Its Relationship to Prognosis

Cellular Physiology and Biochemistry ◽

10.1159/000481871 ◽

2017 ◽

Vol 43 (4) ◽

pp. 1392-1401 ◽

Cited By ~ 6

Author(s):

Jie Ma ◽

Shu-Hong Xuan ◽

Yan Li ◽

Zhi-Ping Zhang ◽

Xin-Hua Li

Keyword(s):

Regression Analysis ◽

Prognostic Factors ◽

Nasopharyngeal Carcinoma ◽

Cox Regression ◽

Advanced Tumor Stage ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Kaplan Meier ◽

Low Expression

Background: The objective of the present study was to evaluate the role of the TGFβ/PDCD4/AP-1 pathway in nasopharyngeal carcinoma (NPC) and its relationship to NPC prognosis. Methods: NPC tissues collected from 66 NPC patients were compared to 17 nasopharyngeal mucosa biopsy specimens collected as normal tissues. Immunohistochemical staining was performed to assess expression of transforming growth factor-β receptor I (TGFβRI), programmed cell death 4 (PDCD4) and activator protein-1 (AP-1). The Kaplan-Meier method was applied to evaluate NPC patient overall survival (OS) and progression-free-survival (PFS). Cox regression analysis was used to estimate independent prognostic factors for NPC. The human NPC cell line CNE2 was selected and treated with SB431542, an inhibitor of TGFβRI; expression of TGFβRI and PDCD4 in CNE2 cells was determined by western blotting. NPC tissues showed higher expression of TGFβRI and AP-1 but lower expression of PDCD4 than normal tissues (all P < 0.05). Results: The results of Kaplan-Meier analysis showed that TGFβRI-positive patients and AP-1-positive patients had shorter OS and PFS than TGFβRI-negative patients and AP-1-negative patients; additionally, PDCD4-positive patients had higher OS and PFS than PDCD4-negative patients. Cox regression analysis revealed that advanced tumor stage, overexpression of TGFβRI and AP-1, and low expression of PDCD4 were unfavorable factors influencing OS and PFS in NPC patients. Compared with the control group, expression of TGFβRI decreased and that of PDCD4 increased significantly in CNE2 cells treated with the inhibitor (all P < 0.05). These findings indicate that the TGFβ/PDCD4/AP-1 pathway may be associated with NPC development and progression. Conclusion: High expression of TGFβRI and AP-1 and low expression of PDCD4 may be unfavorable prognostic factors for NPC.

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Cisplatin-Based versus Carboplatin-Based Chemotherapy for Extra-Pulmonary Neuroendocrine Carcinomas; A Real-World Study.

Neuroendocrinology ◽

10.1159/000520193 ◽

2021 ◽

Author(s):

Omar Abdel-Rahman ◽

Sheryl L. Koski

Keyword(s):

Overall Survival ◽

Regression Analysis ◽

Cox Regression ◽

Survival Outcomes ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Platinum Agent ◽

Extra Pulmonary ◽

The Impact ◽

Neuroendocrine Carcinomas

Objective: To assess the survival differences between cisplatin/etoposide versus carboplatin/etoposide chemotherapy regimens in the management of extra-pulmonary neuroendocrine carcinomas (NECs). Methods: Administrative cancer care databases in the province of Alberta, Canada were reviewed, and patients with extra-pulmonary NECs (including those with small cell and large cell neuroendocrine carcinomas) who were treated with either cisplatin/ etoposide or carboplatin/ etoposide, 2004-2019, were reviewed. Kaplan-Meier survival estimates were used to compare the survival outcomes according to the type of platinum agent, and multivariable Cox regression analysis was used to assess the impact of the type of platinum agent on overall survival outcomes. Results: A total of 263 eligible patients were included in this analysis. These include 176 patients who received cisplatin/ etoposide and 87 patients who received carboplatin/etoposide. Using Kaplan-Meier survival estimates, patients treated with cisplatin have better overall survival compared to patients treated with carboplatin (P=0.005). Multivariable Cox regression analysis suggested that the following factors were associated with worse overall survival: higher Charlson comorbidity index (HR: 1.17; 95% CI: 1.05-1.30), gastrointestinal primary site (HR: 1.55; 95% CI: 1.12-2.14), stage IV disease (HR: 1.75; 95% CI: 1.28-2.38) and use of carboplatin (HR: 1.40; 95% CI: 1.02-1.92). Conclusions: The current study suggested that cisplatin/etoposide might be associated with better overall survival compared to carboplatin/etoposide among patients with extra-pulmonary NECs. It is unclear if this is related to differences in inherent responsiveness to the two platinum agents, or due to differences in comorbidity burden between the two treatment groups.

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Multiplex Immunoassay of Cytokines for The Short-Term Prognosis Predictive Value of Patients With Acute-on-Chronic Liver Failure

10.21203/rs.3.rs-154337/v1 ◽

2021 ◽

Author(s):

Yongyuan Zheng ◽

Genglin Zhang ◽

Lina Wu ◽

Jing Xiong ◽

Lu Wang ◽

...

Keyword(s):

Overall Survival ◽

Regression Analysis ◽

Hepatitis B ◽

Cox Regression ◽

Curve Analysis ◽

Chronic Liver Failure ◽

Roc Curve Analysis ◽

Cox Regression Analysis ◽

Multiplex Immunoassay ◽

Kaplan Meier

Abstract Background: Since the systemic inflammation has been found to be associated with disease progression and mortality in patients with hepatitis B virus (HBV)-related acute-on-chronic liver failure (HBV-ACLF), the objective of this study was to detect inflammatory factors in ACLF patients by a Luminex-based multiplex immunoassay system for high throughput screening of the cytokine with the most prognostic value.Methods: Luminex-based multiplex immunoassay technology was used to determine the concentrations of 48 cytokines in total at once in serum samples from 40 patients with HBV-ACLF, 30 patients with chronic hepatitis B (CHB) and 25 healthy volunteers as normal controls (NC). Then, the receiver operating characteristic (ROC) curve analysis was applied to evaluate the prognostic prediction accuracy. Besides, Kaplan–Meier curves was used to analyze survival, while the Cox regression analysis to determine the mortality predictors.Results: The level of IL-6, IL-10, IL-15, IL-18, M-CSF, IP-10 and CXCL9 were significantly higher in patients with HBV-ACLF than in either patients with CHB or NC subjects, while the level of EGF, PDGF-AA, PDGF-AB/BB, MDC and sCD40L were significantly lower. The concentrations of IL-6, CXCL9, and IL-15 was higher in non-surviving patients with HBV-ACLF than in surviving patients while MDC was lower. Increased serum IL-6 was positively correlated with disease severity. The ROC curve analysis showed that IL-6 and CXCL-9 accurately predicted 90-day survival in patients with HBV-ACLF, with an accuracy equivalent to those of the Model for End-Stage Liver Disease (MELD), MELD-Na. Kaplan–Meier analysis showed an association between the increase in serum concentration of IL-6 as well as CXCL9 and poor overall survival in patients with HBV-ACLF. Moreover, the multivariate Cox regression analysis showed that only serum IL-6 was an independent predictor of overall survival in patients with HBV-ACLF.Conclusion: Although HBV-related ACLF patients have significantly increased serum levels of multiple cytokines, only serum IL-6 levels could be an independent prognostic biomarker in patients with HBV-ACLF.

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Identification of a Seven-Gene Signature and Establishment of a Nomogram Predicting Overall Survival in Head and Neck Squamous Cell Carcinoma

10.21203/rs.3.rs-70821/v1 ◽

2020 ◽

Author(s):

Haige Zheng ◽

Xiangkun Wu ◽

Huixian Liu ◽

Yumin Lu ◽

Hengguo Li

Keyword(s):

Overall Survival ◽

Squamous Cell Carcinoma ◽

Regression Analysis ◽

High Risk ◽

Cell Carcinoma ◽

Cox Regression ◽

Risk Groups ◽

Gene Signature ◽

Cox Regression Analysis ◽

Kaplan Meier

Abstract Background: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous tumor with high incidence and poor prognosis. Therefore, effective predictive models are needed to evaluate patient outcomes and optimize treatment. Methods: Ten gene microarray datasets were obtained from the gene expression omnibus (GEO) database. Level 3 mRNA expression and clinical data were obtained in The Cancer Genome Atlas (TCGA) database. We identified highly robust differentially-expressed genes (DEGs) between HNSCC and normal tissue in nine GEO and TCGA datasets using Robust Rank Aggregation (RRA) method. Univariate Cox regression analysis and lasso Cox regression analysis were performed to identify DEGs related to the Overall-survival (OS) and to construct a prognostic gene signature. External validation was performed using GSE65858. Moreover, gene set enrichment analyses (GSEA) analysis was used to analyze significantly rich pathways in high-risk and low-risk groups, and tumor immunoassays were used to clarify immune correlation of the prognostic gene. Finally, integrate multiple forecast indicators were used to build a nomogram using the TCGA-HNSCC dataset. Kaplan–Meier analysis, receiver operating characteristic (ROC), a calibration plot, Harrell’s concordance index (C-index), and decision curve analysis (DCA) were used to test the predictive capability of the seven genetic signals and the nomogram. Results: A novel seven-gene signature (including SLURP1, SCARA5, CLDN10, MYH11, CXCL13, HLF, and ITGA3) was established to predict overall survival in HNSCC patients. ROC curve performed well in the training and validation data sets. Kaplan–Meier analysis demonstrated that low-risk groups had a longer survival time. The nomogram containing seven genetic markers and clinical prognostic factors was a good predictor of HNSCC survival and showed a certain net clinical benefit through the DCA curve. Further research demonstrated that the infiltration degree of CD8 + T cells, B cells, neutrophils, and NK cells were significantly lower in the high-risk group.Conclusion: Our analysis established a seven-gene model and nomogram to accurately predict the prognosis status of HNSCC patients, immune relevance was also described, which may provide a new possibility for individual treatment and medical decision-making.

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Development and Validation of a Robust Ferroptosis-Related Prognostic Signature to Predict Overall Survival in Clear Cell Renal Cell Carcinoma

10.21203/rs.3.rs-230598/v1 ◽

2021 ◽

Author(s):

Yen-ting Lin ◽

Can-Xuan Li ◽

Jie Chen

Keyword(s):

Overall Survival ◽

Regression Analysis ◽

Roc Curve ◽

Prognostic Value ◽

Cox Regression ◽

Expression Patterns ◽

The Cancer Genome Atlas ◽

Entire Group ◽

Cox Regression Analysis ◽

Kaplan Meier

Abstract Background: Ferroptosis is a novel defined type of programmed cell death (PCD) with widespread functions involved in physical conditions or multiple diseases including malignancies. However, the relationship between ccRCC and ferroptosis-related regulators remains poorly known. Herein, we investigate the prognostic values and potential mechanisms of ferroptosis-related genes (FRGs) in ccRCC.Methods: Ferroptosis-related genes were obtained from FerrDb database, GeneCards database and previously published literatures. The gene expression profile of ferroptosis-related regulators and corresponding clinicopathological information were downloaded from The Cancer Genome Atlas (TCGA). Differentially expressed ferroptosis-related genes (DE-FRGs) were screened between ccRCC specimens and noncancerous specimens. Among these genes, prognostic DE-FRGs were identified using univariate COX analysis and LASSO regression analysis. Further multivariate COX regression was employed to identify prognosis-related hub DE-FRGs and establish a prognostic model. Results: We identified seven hub genes (HMGCR, MT1G, BID, EIF4A1, FOXM1, TFAP2C and CHAC1) from the DE-FRGs using univariate Cox regression analysis, LASSO and multivariate Cox regression analysis, and used them to establish a novel clinical predictive model in the TCGA train cohort (n = 374). Subsequently, we assessed the prognostic value of the model. Survival analysis showed that high-risk patients had a reduced overall survival (OS), the time-dependent receiver operating characteristic (ROC) curve analysis confirmed the signature's diagnostic performance. Additionally, multivariate Cox regression analysis suggested that the risk score was an independent prognostic factor. Additionally, we verified the prognostic performance of the risk model in the testing cohort (n=156), and the entire group (n=530) using Kaplan-Meier curve and ROC curve analyses. Functional analysis indicated that several carcinogenic pathways were enriched, and tumor-infiltrating immune cell abundances, and the expression levels of immunosuppressive molecules were different between two risk groups. Finally, external databases (ONCMINE, GEPIA, HPA, Kaplan-Meier plotter and cbioportal) were used to confirm the expression patterns, prognostic value, and genetic mutations of 7 hub FRGs in ccRCC.Conclusions: Collectively, we successfully constructed a novel ferroptosis-related risk signature that was significantly associated with the prognosis of ccRCC.

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High expression of junctional adhesion molecule-A is associated with poor survival in patients with epithelial ovarian cancer

The International Journal of Biological Markers ◽

10.1177/1724600819850178 ◽

2019 ◽

Vol 34 (3) ◽

pp. 262-268 ◽

Cited By ~ 2

Author(s):

Boljevic Ivana ◽

Malisic Emina ◽

Milovic-Kovacevic Marijana ◽

Jovanic Irena ◽

Bukumiric Zoran ◽

...

Keyword(s):

Gene Expression ◽

Ovarian Cancer ◽

Overall Survival ◽

Regression Analysis ◽

Epithelial Ovarian Cancer ◽

Adhesion Molecule ◽

Cox Regression ◽

Figo Stage ◽

Cox Regression Analysis ◽

Kaplan Meier

Purpose: Aberrant expression of different tight junction proteins, including the junctional adhesion molecule-A (JAM-A), has been frequently reported in association with tumor progression of several malignancies. To our knowledge, this is the first study examining the clinical significance of JAM-A gene expression in epithelial ovarian cancer. Methods: JAM-A expression levels in 44 epithelial ovarian cancer and 12 benign formalin-fixed paraffin-embedded samples were determined by reverse transcription quantitative polymerase chain reaction. Receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic and prognostic potential of JAM-A. Associations between JAM-A expression and clinicopathological characteristics of epithelial ovarian cancer were analyzed using Fisher’s exact test. The Kaplan–Meier method and univariate Cox regression analysis were used for the survival analysis. P ⩽ 0.05 was considered statistically significant. Results: ROC curve analyses showed that JAM-A gene expression exhibits both diagnostic and prognostic performance in epithelial ovarian cancer (area under the curve (AUC) 0.640, 95% confidence interval (CI) 0.488, 0.792, sensitivity 43.18%, specificity 100% and AUC 0.621, 95% CI 0.427, 0.816, sensitivity 52.63%, specificity 85%, respectively). JAM-A expression was significantly associated with International Federation of Gynecologists and Obstetricians (FIGO) stage ( P =0.049) and the Kaplan–Meier method demonstrated that patients with high expression of JAM-A had significantly worse overall survival compared to patients with low JAM-A expression ( P =0.004). Moreover, univariate Cox regression analysis showed that FIGO stage, peritoneal metastasis, residual tumor and JAM-A expression were significantly associated with reduced overall survival in epithelial ovarian cancer. Conclusions: Our results indicate that high levels of JAM-A expression are associated with an advanced clinicopathological feature and may have diagnostic potential; also, it could be a predictor of poor overall survival in patients with epithelial ovarian cancer.

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Positive ALDH1A3 and Negative GPX3 Expressions Are Biomarkers for Poor Prognosis of Gallbladder Cancer

Disease Markers ◽

10.1155/2013/187043 ◽

2013 ◽

Vol 35 ◽

pp. 163-172 ◽

Cited By ~ 29

Author(s):

Zhu-lin Yang ◽

Leping Yang ◽

Qiong Zou ◽

Yuan Yuan ◽

Jinghe Li ◽

...

Keyword(s):

Overall Survival ◽

Regression Analysis ◽

Lymph Node ◽

Gallbladder Cancer ◽

Poor Prognosis ◽

Cox Regression ◽

Cox Regression Analysis ◽

Prognostic Predictor ◽

Node Metastasis ◽

Kaplan Meier

Background. Gallbladder cancers (GBCs) are highly aggressive cancers with high mortality. However, biological markers for the progression and prognosis of GBC are currently unavailable in the clinic.Objective. To identify biomarkers for predicting GBC metastasis and prognosis.Methods. We examined ALDH1A3 and GPX3 expressions in 46 squamous cell/adenosquamous carcinomas (SC/ASC) and 80 adenocarcinomas (AC) by using immunohistochemistry.Results. Positive ALDH1A3 and negative GPX3 expressions were significantly associated with lymph node metastasis and invasion of SC/ASCs and ACs. Univariate Kaplan-Meier analysis showed that either positive ALDH1A3(P<0.001)or negative GPX3(P<0.001)expression significantly correlated with decreased overall survival in both SC/ASC and AC patients. Multivariate Cox regression analysis showed that positive ALDH1A3 expression or negative GPX3 expression was an independent poor-prognostic predictor in both SC/ASC and AC patients.Conclusions. Our study suggested that positive ALDH1A3 and negative GPX3 expressions are closely associated with clinical pathological behaviors and poor prognosis of gallbladder cancer.

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