Curative resection for hilar cholangiocarcinoma: Does adjuvant therapy impact overall survival? A multi-institution analysis from the U.S. Extrahepatic Biliary Malignancy Consortium.

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 388-388
Author(s):  
Bradley Krasnick ◽  
Linda Jin ◽  
Jesse Davidson ◽  
Cecilia Grace Ethun ◽  
Timothy M. Pawlik ◽  
...  
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
Adjuvant Therapy ◽  
Hilar Cholangiocarcinoma ◽  
Curative Resection ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Biliary Malignancy ◽  
The Impact ◽  
The U.S

388 Background: Surgical resection is the cornerstone of curative therapy for localized hilar cholangiocarcinoma. However, the effect of adjuvant therapy (AT) on survival is unclear. We analyzed the impact of AT on overall survival (OS) in those patients undergoing curative resection for hilar cholangiocarcinoma. Methods: We reviewed 294 patients who underwent curative resections for hilar cholangiocarcinoma between 1998 and 2015 from ten institutions participating in the U.S Extrahepatic Biliary Malignancy consortium. We analyzed the impact of AT on the primary outcome of OS. Probability of OS was calculated in the method of Kaplan and Meier and analyzed using multivariate Cox regression analysis. Statistical significance was set at p≤0.05. Results: Mean age was 65 years. OS at 5 years was 16%. A total of 146 patients (50%) received AT. Of these patients, 44 patients underwent solely chemotherapy, 5 underwent only radiation therapy (XRT), and 97 underwent combined therapy. On univariate analysis, patients who received AT and those who did not had similar demographic and preoperative features, with the major difference being in the rate of lymph node (LN) positive disease (50% AT group vs. 19% no AT group, p<0.01). In a multivariate Cox regression analysis, AT conferred a significant protective effect on OS (HR 0.578, p<0.01, 95% CI 0.38-0.86), even when adjusting for age, tumor size, R0 resection status, ASA classification, and LN positivity (Table). Conclusions: AT is associated with improved OS in resected hilar cholangiocarcinoma. This association remains even after adjusting for poor prognostic features. We acknowledge that there is an inherent selection bias when looking at those who underwent AT, and thus future prospective randomized trials are needed. [Table: see text]

The effect of postoperative morbidity on long-term survival after curative resection for extra-hepatic biliary tumors: A multi-institution analysis from the U.S. Extrahepatic Biliary Malignancy Consortium.

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 435-435
Author(s):  
Linda Jin ◽  
Bradley Krasnick ◽  
Jesse Davidson ◽  
Cecilia Grace Ethun ◽  
Timothy M. Pawlik ◽  
...  
Keyword(s):  
Curative Resection ◽  
Cox Regression ◽  
Complication Rates ◽  
Term Survival ◽  
Long Term Survival ◽  
Curative Therapy ◽  
Biliary Malignancy ◽  
The Impact ◽  
The U.S

435 Background: Surgical resection is the cornerstone of curative therapy for extrahepatic biliary tumors (EHBTs) Postoperative complications (POCs) can negatively impact survival after oncologic resection. We evaluated the impact of POCs on survival after resection of EHBTs. Methods: We analyzed 914 patients from ten institutions of the U.S. Extrahepatic Biliary Malignancy Consortium who underwent curative resection for gallbladder adenocarcinoma (n=389), hilar (n=295) and distal (n=294) cholangiocarcinoma between 1998 and 2015. POCs were graded using the modified Clavien-Dindo system. Overall survival (OS) probabilities were estimated using the method of Kaplan and Meier and analyzed using multivariate Cox regression. Results: Median follow-up was 20 months. The median age was 66 years, and the overall complication rate was 54%. Complication rates were significantly higher in patients with distal or hilar cholangiocarcinoma (62%) when compared with gallbladder cancer (41%, p<0.001). For all cancer types, patients who experienced POCs had lower 5-year OS when compared with those who did not (18% vs 28%, p<0.001). On multivariate Cox regression, POC remained an independent predictor for decreased OS (HR 1.5, 95% CI 1.3-1.9, p<0.001; Table). Among patients who experienced POCs, survival did not differ by greatest Clavien grade of complication experienced (p=0.89), however patients who had 2 or more POCs did have decreased long term survival when compared with patients with only a single POC (HR 1.5, 95% CI 1.2-1.8, p=0.001). Conclusions: POCs adversely affect long-term outcomes after curative resection for extra-hepatic biliary tumors. While any complication grade did not have a significant impact on long-term survival, increasing number of POCs did significantly worsen the prognosis for OS. [Table: see text]

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

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.

Outcomes of advanced gastrointestinal (GI) cancer patients in relationship to opioid use: An individual patient data pooled analysis from eight clinical trials.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 687-687
Author(s):  
Omar Abdel-Rahman ◽  
Hatim Karachiwala ◽  
Jacob C. Easaw
Keyword(s):  
Overall Survival ◽  
Clinical Trials ◽  
Regression Analysis ◽  
Cox Regression ◽  
Survival Outcomes ◽  
Disease Entity ◽  
Opioid Use ◽  
Cox Regression Analysis ◽  
Gi Cancers ◽  
The Impact

687 Background: The current study aims at assessing the patterns of opioid use, and evaluating the impact of opioid use on survival outcomes among patients with advanced GI cancers who were included in eight clinical trials. Methods: De-identified datasets of eight clinical trials evaluating first-line systemic treatment for advanced GI cancers (NCT01124786; NCT00844649; NCT00290966; NCT00678535; NCT00699374; NCT00272051; NCT00305188; NCT00384176) were accessed from the Project Data Sphere platform. These trials evaluated patients with pancreatic, gastric, hepatocellular and colorectal carcinoma. Multivariable logistic regression analysis was used to evaluate factors predicting the use of opioids. Kaplan-Meier survival estimates were used to compare survival outcomes in each disease entity among patients who did or did not receive opioid treatment. Multivariable Cox regression analysis was used to assess the impact of opioid use on survival outcomes in each disease entity. Results: A total of 3441 participants were included in the current analysis. The following factors predicted a higher probability of opioid use within logistic regression analysis: younger age (P = 0.004), non-white race (P = 0.010), higher ECOG score (P < 0.001) and pancreatic primary site (P < 0.001). Use of opioids was consistently associated with worse overall survival in Kaplan-Meier survival estimates of each disease entity (for pancreatic cancer: P = 0.008; for gastric cancer: P < 0.001; for hepatocellular carcinoma: P < 0.001 and for colorectal cancer: P < 0.001). Within multivariable Cox regression analysis, opioid use was associated with worse overall survival among patients with pancreatic cancer (HR = 1.245; 95% CI: 1.063-1.459; P = 0.007), gastric cancer (HR = 1.725; 95% CI: 1.403-2.122; P < 0.001), hepatocellular carcinoma (HR = 1.841; 95 CI: 1.480-2.290; P < 0.001) and colorectal cancer (HR = 1.651; 95% CI: 1.380-1.975; P < 0.001). Conclusions: Opioid use is consistently associated with worse overall survival among patients with different GI cancers. Further studies are needed to evaluate the underlying mechanisms of this observation.

scholarly journals Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chunlei Wu ◽  
Quanteng Hu ◽  
Dehua Ma
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Risk Score ◽  
Cox Regression ◽  
Related Gene ◽  
Cox Regression Analysis ◽  
Gene Pairs ◽  
Immune Related Gene ◽  
Pathological Subtype

AbstractLung adenocarcinoma (LUAD) is the main pathological subtype of Non-small cell lung cancer. We downloaded the gene expression profile and immune-related gene set from the TCGA and ImmPort database, respectively, to establish immune-related gene pairs (IRGPs). Then, IRGPs were subjected to univariate Cox regression analysis, LASSO regression analysis, and multivariable Cox regression analysis to screen and develop an IRGPs signature. The receiver operating characteristic curve (ROC) was applied for evaluating the predicting accuracy of this signature by calculating the area under ROC (AUC) and data from the GEO set was used to validate this signature. The relationship of 22 tumor-infiltrating immune cells (TIICs) to the immune risk score was also investigated. An IRGPs signature with 8 IRGPs was constructed. The AUC for 1- and 3-year overall survival in the TCGA set was 0.867 and 0.870, respectively. Similar results were observed in the AUCs of GEO set 1, 2 and 3 (GEO set 1 [1-year: 0.819; 3-year: 0.803]; GEO set 2 [1-year: 0.834; 3-year: 0.870]; GEO set 3 [1-year: 0.955; 3-year: 0.827]). Survival analysis demonstrated high-risk LUAD patients exhibited poorer prognosis. The multivariable Cox regression indicated that the risk score was an independent prognostic factor. The immune risk score was highly associated with several TIICs (Plasma cells, memory B cells, resting memory CD4 T cells, and activated NK cells). We developed a novel IRGPs signature for predicting 1- and 3- year overall survival in LUAD, which would be helpful for prognosis assessment of LUAD.

NLRP3 is a Novel Prognostic Biomarker and Correlates With Immune Infiltrates in Lung Adenocarcinoma and Skin Cutaneous Melanoma

2021 ◽  
Author(s):  
Chenxi Yuan ◽  
Qingwei Wang ◽  
Xueting Dai ◽  
Yipeng Song ◽  
Jinming Yu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Immune Cells ◽  
Cutaneous Melanoma ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Potential Biomarker ◽  
The Impact ◽  
Nlrp3 Expression

Abstract Background: Lung adenocarcinoma (LUAD) and skin cutaneous melanoma (SKCM) are common tumors around the world. However, the prognosis in advanced patients is poor. Because NLRP3 was not extensively studied in cancers, so that we aimed to identify the impact of NLRP3 on LUAD and SKCM through bioinformatics analyses. Methods: TCGA and TIMER database were utilized in this study. We compared the expression of NLRP3 in different cancers and evaluated its influence on survival of LUAD and SKCM patients. The correlations between clinical information and NLRP3 expression were analyzed using logistic regression. Clinicopathologic characteristics associated with overall survival in were analyzed by Cox regression. In addition, we explored the correlation between NLRP3 and immune infiltrates. GSEA and co-expressed gene with NLRP3 were also done in this study. Results: NLRP3 expressed disparately in tumor tissues and normal tissues. Cox regression analysis indicated that up-regulated NLRP3 was an independent prognostic factor for good prognosis in LUAD and SKCM. Logistic regression analysis showed increased NLRP3 expression was significantly correlated with favorable clinicopathologic parameters such as no lymph node invasion and no distant metastasis. Specifically, a positive correlation between increased NLRP3 expression and immune infiltrating level of various immune cells was observed. Conclusion: Together with all these findings, increased NLRP3 expression correlates with favorable prognosis and increased proportion of immune cells in LUAD and SKCM. These conclusions indicate that NLRP3 can serve as a potential biomarker for evaluating prognosis and immune infiltration level.

scholarly journals Bioinformatics-Based Identification of Tumor Microenvironment-Related Prognostic Genes in Pancreatic Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Shaojie Chen ◽  
Feifei Huang ◽  
Shangxiang Chen ◽  
Yinting Chen ◽  
Jiajia Li ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Regression Analysis ◽  
Tumor Microenvironment ◽  
Operating Characteristic ◽  
Cox Regression ◽  
Time Dependent ◽  
Concordance Index ◽  
Cox Regression Analysis ◽  
Score Model

ObjectiveGrowing evidence has highlighted that the immune and stromal cells that infiltrate in pancreatic cancer microenvironment significantly influence tumor progression. However, reliable microenvironment-related prognostic gene signatures are yet to be established. The present study aimed to elucidate tumor microenvironment-related prognostic genes in pancreatic cancer.MethodsWe applied the ESTIMATE algorithm to categorize patients with pancreatic cancer from TCGA dataset into high and low immune/stromal score groups and determined their differentially expressed genes. Then, univariate and LASSO Cox regression was performed to identify overall survival-related differentially expressed genes (DEGs). And multivariate Cox regression analysis was used to screen independent prognostic genes and construct a risk score model. Finally, the performance of the risk score model was evaluated by Kaplan-Meier curve, time-dependent receiver operating characteristic and Harrell’s concordance index.ResultsThe overall survival analysis demonstrated that high immune/stromal score groups were closely associated with poor prognosis. The multivariate Cox regression analysis indicated that the signatures of four genes, including TRPC7, CXCL10, CUX2, and COL2A1, were independent prognostic factors. Subsequently, the risk prediction model constructed by those genes was superior to AJCC staging as evaluated by time-dependent receiver operating characteristic and Harrell’s concordance index, and both KRAS and TP53 mutations were closely associated with high risk scores. In addition, CXCL10 was predominantly expressed by tumor associated macrophages and its receptor CXCR3 was highly expressed in T cells at the single-cell level.ConclusionsThis study comprehensively investigated the tumor microenvironment and verified immune/stromal-related biomarkers for pancreatic cancer.

scholarly journals Identification of a Liver Progenitor Cell-Related Genes Signature Predicting Overall Survival for Hepatocellular Carcinoma

2021 ◽  
Vol 20 ◽  
pp. 153303382110414
Author(s):  
Xiaoyong Li ◽  
Jiaqong Lin ◽  
Yuguo pan ◽  
Peng Cui ◽  
Jintang Xia
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Regression Analysis ◽  
Prognostic Model ◽  
Cox Regression ◽  
Risk Group ◽  
Gene Signature ◽  
Regression Analyses ◽  
Related Gene ◽  
Cox Regression Analysis

Background: Liver progenitor cells (LPCs) play significant roles in the development and progression of hepatocellular carcinoma (HCC). However, no studies on the value of LPC-related genes for evaluating HCC prognosis exist. We developed a gene signature of LPC-related genes for prognostication in HCC. Methods: To identify LPC-related genes, we analyzed mRNA expression arrays from a dataset (GSE57812 & GSE 37071) containing LPCs, mature hepatocytes, and embryonic stem cell samples. HCC RNA-Seq data from The Cancer Genome Atlas (TCGA) were used to explore the differentially expressed genes (DEGs) related to prognosis through DEG analysis and univariate Cox regression analysis. Lasso and multivariate Cox regression analyses were performed to construct the LPC-related gene prognostic model in the TCGA training dataset. This model was validated in the TCGA testing set and an external dataset (International Cancer Genome Consortium [ICGC] dataset). Finally, we investigated the relationship between this prognostic model with tumor-node-metastasis stage, tumor grade, and vascular invasion of HCC. Results: Overall, 1770 genes were identified as LPC-related genes, of which 92 genes were identified as DEGs in HCC tissues compared with normal tissues. Furthermore, we randomly assigned patients from the TCGA dataset to the training and testing cohorts. Twenty-six DEGs correlated with overall survival (OS) in the univariate Cox regression analysis. Lasso and multivariate Cox regression analyses were performed in the TCGA training set, and a 3-gene signature was constructed to stratify patients into 2 risk groups: high-risk and low-risk. Patients in the high-risk group had significantly lower OS than those in the low-risk group. Receiver operating characteristic curve analysis confirmed the signature's predictive capacity. Moreover, the risk score was confirmed to be an independent predictor for patients with HCC. Conclusion: We demonstrated that the LPC-related gene signature can be used for prognostication in HCC. Thus, targeting LPCs may serve as a therapeutic alternative for HCC.

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

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.

The predictive value of MAP2K1/2 mutations for efficiency of immunotherapy in melanoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21587-e21587
Author(s):  
Ting Ye ◽  
Jieying Zhang ◽  
Xinyi Liu ◽  
Mengmei Yang ◽  
Yuhan Zhou ◽  
...  
Keyword(s):  
Overall Survival ◽  
Predictive Value ◽  
Cox Regression ◽  
Treatment Options ◽  
Objective Response ◽  
Progression Free Survival ◽  
Driver Mutations ◽  
Cox Regression Analysis ◽  
Melanoma Patients ◽  
The Impact

e21587 Background: Immunotherapies targeting immune checkpoint receptors have become the cornerstone of systemic treatment options for malignant melanoma. The response to these immunotherapies may correlate with driver mutations. MAP2K1/2 genes are mutated in approximately 10% of melanomas, however, the impact of MAP2K1/2 gene alterations on the efficiency of immunotherapy has not been clarified. Methods: Six metastatic melanoma clinical cohorts treated with ICIs were included to investigate the association between clinical efficacy of immunotherapy and MAP2K1/2 mutations. Survival analyses were conducted in cohorts receiving two kinds of ICB agents, namely anti-CTLA-4 or anti-PD-1. RNA expression profiling from these cohorts and from the TCGA melanoma cohort were used to explore the potential mechanism related to immune activation. Results: In an independent anti-CTLA-4-treated cohort (n = 110), we found that MAP2K1/2 mutations are predictive of high objective response rate (17.6% vs 1.3%, p = 0.0185) and long progression-free survival [median OS, 49.2 months vs 8.3 months; hazard ratio (HR) = 0.37; 95% CI, 0.15–0.91; p = 0.0307] and overall survival (median PFS, 19.4 months vs 2.8 months; HR = 0.2; 95% CI, 0.05–0.83; p = 0.0262). This predictive value was further validated in a pooled anti-CTLA-4-treated cohort (n = 235) in terms of overall survival (median OS, 49.3 months vs 22.0 months; HR = 0.44; 95% CI, 0.22–0.91; p = 0.0255). However, no correlation between MAP2K1/2 mutations and overall survival was observed in the anti-PD-1-treated cohort (n = 285). Subgroup Cox regression analysis indicated that MAP2K-mutated patients receive less benefit from the anti-PD-1 monotherapy than from the anti-CTLA-4 treatment (median OS, 27.0 months vs 49.3 months; HR = 3.26; 95% CI, 1.18–9.02; p = 0.0225), which was contrary to the result obtained for the total population. Furthermore, transcriptome profiling analysis revealed that MAP2K-mutated tumors are enriched in CD8+ T cells, B cells, and neutrophil cells and also express high levels of CD33 and IL10, which might be the underlying mechanism for melanoma patients with MAP2K1/2-mutated benefit more from anti-CTLA-4 treatment. Conclusions: We identified mutations in MAP2K1/2 genes as the independent predictive factors for anti-CTLA-4 therapy in melanoma patients and found that anti-CTLA-4 treatment in patient harbouring MAP2K1/2 mutations might be more effective than the anti-PD-1 therapy.

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