scholarly journals Identification of a Ten-Gene Signature of DNA Damage Response Pathways with Prognostic Value in Esophageal Squamous Cell Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Weitao Zhuang ◽  
Xiaosong Ben ◽  
Zihao Zhou ◽  
Yu Ding ◽  
Yong Tang ◽  
...  

Molecular prognostic signatures are critical for treatment decision-making in esophageal squamous cell cancer (ESCC), but the robustness of these signatures is limited. The aberrant DNA damage response (DDR) pathway may lead to the accumulation of mutations and thus accelerate tumor progression in ESCC. Given this, we applied the LASSO Cox regression to the transcriptomic data of DDR genes, and a prognostic DDR-related gene expression signature (DRGS) consisting of ten genes was constructed, including PARP3, POLB, XRCC5, MLH1, DMC1, GTF2H3, PER1, SMC5, TCEA1, and HERC2. The DRGS was independently associated with overall survival in both training and validation cohorts. The DRGS achieved higher accuracy than six previously reported multigene signatures for the prediction of prognosis in comparable cohorts. Furtherly, a nomogram incorporating DRGS and clinicopathological features showed improved predicting performance. Taken together, the DRGS was identified as a novel, robust, and effective prognostic indicator, which may refine the scheme of risk stratification and management in ESCC patients.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16073-e16073
Author(s):  
Weitao Zhuang ◽  
Xiao-song Ben ◽  
Dan Tian ◽  
Zihao Zhou ◽  
Gang Chen ◽  
...  

e16073 Background: Esophageal squamous cell cancer (ESCC) is a malignant tumor with a poor 5-year relative survival. A prognosis prediction signature associated with DNA Damage Response (DDR) genes in ESCC was explored in this study. Methods: The clinical and gene expression profiles of ESCC patients were downloaded from the GEO and TCGA database. Univariate Cox regression and 1000 iterations of 10-fold cross-validation of LASSO Cox regression with binomial deviance minimization criteria were used to identify DDR genes as potential object and a prognostic signature for ESCC survival prediction, followed by validation of the signature via TCGA cohort and identification of independent prognostic predictors. A nomogram for prognosis prediction was built and Gene Set Enrichment Analysis (GSEA) was performed to further understand the underlying molecular mechanisms. Results: A signature of 8 DDR genes were constructed as being significantly associated with overall survival (OS) among patients with esophageal squamous cell carcinoma. The pronostic signature stratified ESCC patients into low- vs high-risk groups in terms of OS in the training set, testing set and the validation cohorts, and remained as an independent prognostic factor in multivariate analyses (hazard ratio (HR) in training set, 0.17 [95% CI, 0.09-0.35; P < 0 .001], HR in testing set, 0.38 [95% CI, 0.16-0.93; P = 0.029], HR in discovery cohort, 0.171 [95% CI, 0.03-0.48; P < 0 .001]) after adjusting for clinicopathological factors. The 8-DDR gene signature achieved a higher accuracy (C-index, 0.69; AUCs for 1-, 3- and 5-year OS, 0.74, 0.77 and 0.76, respectively) than 7 previously reported multigene signatures (C-index range, 0.53 to 0.60; AUCs range, 0.55to 0.66, 0.54 to 0.64 and 0.62 to 0.66, respectively) for estimation of survival in comparable cohorts. A nomogram incorporating tumor location, grade, adjuvant therapy and signature-based risk group showed better predictive performance for 1- and 3- year survival than for 5 year survival. Moreover, GSEA revealed that the DNA repair was more prominently enriched in the high-risk group while the low-risk group had not enrichment of any process (P > 0.05 for all). Conclusions: Taken together, our study identified 8 DDR genes related to the prognosis of ESCC patients, and constructed a robust prognostic signature to effectively stratify ESCC patients with different survival rates, which may help recognize high-risk patients potentially benefiting from more aggressive treatment.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ying Tang ◽  
Yan-xia Liu ◽  
Xiuning Huang ◽  
Peng Li

Background. Improving the osteosarcoma (OS) patients’ survival has long been a challenge, even though the disease’s treatment is on the verge of progress. DNA damage response (DDR) has traditionally been associated with carcinogenesis, tumor growth, and genomic instability. No study has used DDR genes as a signature to identify the prognosis of OS. The goal of this work was to find an effective possible DDR gene biomarker for predicting OS prognosis, which may be useful in clinical diagnosis and therapy. Methods. To assess gene methylation, univariate and multivariate cox regression analyses were performed on data from OS patients. The data were retrieved from public databases, including the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and the Gene Expression Omnibus (GEO). Results. The DDR gene signature was chosen, which included seven genes (NHEJ1, RMI2, SWI5, ERCC2, CLK2, POLG, and MLH1). In the TARGET dataset, patients were categorized into two groups: high-risk and low-risk. Patients with a high-risk score revealed a shorter OS rate (hazard ratio (HR): 3.15, 95% confidence interval (CI): 1.38–4.34, P < 0.001 ) in comparison with the patients with a low-risk score in the TARGET as a training group. The validation of the prognostic signature accuracy was carried out in relapse and validation cohorts (TARGET, n = 75; GSE21257, n = 53). The signature was found to be an independent predictive factor for OS in multivariate cox regression analysis, and a nomogram model was developed to predict an individual’s risk of OS. DDR gene signature involved in Fanconi anemia pathway, nonhomologous end−joining pathway, mismatch repair, and nucleotide excision repair pathway. Conclusions. Our study suggests that the identified novel DDR genes could be a powerful prognostic tool for prognosis evaluation and a valuable tool in predicting the risk factors in OS patients.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 529-529 ◽  
Author(s):  
Priyanka Sharma ◽  
William E. Barlow ◽  
Andrew K. Godwin ◽  
Laura A Knight ◽  
Steven M. Walker ◽  
...  

529 Background: Biomarkers of response and resistance to adjuvant chemotherapy for TNBC are needed. Deficiency in DNA damage response (DDR) and repair pathways have been reported in TNBC and may impact response to chemotherapy. Aims: To investigate DNA damage response deficiency (DDRD) molecular signature, BRCA1mRNA expression and Tumor Infiltrating Lymphocytes (TILs) as prognostic markers in TNBC patients treated with adjuvant AC on S9313. Methods: S9313 accrued 3125 early stage BC patients to two alternative schedules of AC with no difference in outcomes between the two arms. We identified 425 (14%) patients with centrally determined TNBC with tissue availability. DDRD signature (44 gene signature, Almac Inc.) and BRCA1expression (NanoString nCounter) were performed on RNA isolated from pre-treatment FFPE tumor tissue. DDRD score was classified in quartiles. TILs evaluation was performed using previously described criteria. Markers were tested for prognostic effect on DFS and OS using Cox regression model with adjustment for randomized treatment assignment. Results: For 425 TNBC patients median age: 45 yrs, and 5 year DFS and OS = 74% and 82%, respectively. DDRD signature was successfully evaluated in 89.6% (381/425) but only 267 (62.8%) met 60% tumor content criterion for inclusion. DDRD score quartiles were associated with DFS (5 year DFS 59% & 82% in the lowest & highest quartiles respectively, p = 0.0005) and OS (5 year OS 74% and 86% in lowest and highest quartiles respectively, p = 0.008). BRCA1 expression and TILs were successfully determined in 78% and 99% samples, respectively. BRCA1expression was not associated with DFS. TILs were associated with DFS (10% increase HR = 0.88; 95% CI 0.79-0.97; p = 0.016) and OS (HR = 0.84; 95% CI 0.74-0.94; p = 0.0005). DDRD score and TILs were highly correlated (Pearson = 0.62). In multivariate model of DFS including TILs and DDRD quartiles, only DDRD remains significant (p = 0.018). Conclusions: DDRD signature was prognostic in TNBC patients treated with AC chemotherapy and has the potential to be used as a selection criterion to identify TNBC patients whose prognosis is sufficiently poor to justify evaluation of alternative treatment.


2017 ◽  
Vol 32 (4) ◽  
pp. 409-414 ◽  
Author(s):  
Guo-Dong Gao ◽  
Bo Sun ◽  
Xian-Bin Wang ◽  
Shi-Meng Wang

Background This study aimed to evaluate the correlation between neutrophil to lymphocyte ratio (NLR) with overall survival (OS) of esophageal squamous cell carcinoma (ESCC) patients. Method Records of patients with diagnosed ESCC were reviewed. Leukocyte counts and patients' characteristics were extracted from their clinical records to calculate NLR. Correlation between NLR and baseline characteristics with overall survival (OS) was then analyzed using Cox regression. The patients were then separated into higher and lower NLR groups according to median NLR. OS was further compared between the 2 groups. Results A total of 1281 patients were included in the study. Cox regression analysis showed a significant correlation of NLR with OS of ESCC patients. The median pretreatment NLR was identified as 2.86. Higher NLR was associated with worse prognosis in terms of OS. Conclusions Pretreatment NLR is independently associated with OS of ESCC patients. Therefore, NLR may be used as a predictive indicator for pretreatment evaluation and adjustment of treatment regimen.


2021 ◽  
Vol 9 (3) ◽  
pp. 220-220
Author(s):  
Guohua Rong ◽  
Zongbi Yi ◽  
Fei Ma ◽  
Yanfang Guan ◽  
Yaping Xu ◽  
...  

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