Abstract
DNA damage repair (DDR) comprises the detection and correction of alterations in the chemical structure of DNA. The dysfunction of the DDR process has been determined to have important implications for tumor carcinogenesis, malignancy progression, treatment resistance, and prognosis assessment. However, the role of the DDR process in gastric cancer (GC) remains to be fully understood. Thus, a total of 2,019 GC samples from our hospital (Harbin Medical University Cancer Hospital in china) and 12 public data sets were included in our study. In this study, single-sample gene set enrichment analysis (ssGSEA) was used to generate the DDR pathway activity profiles of 8 DDR sub-pathways and identify a DDR pathway signature by combining the DDR sub-pathway gene sets. The DDR pathway profiling’s impacts on the clinical outcomes, biological functions, genetic variants, immune heterogeneity, and treatment responses were analyzed through multidimensional genomics and clinical data. The results demonstrate that the DDR pathway profiling was clearly distinguished between tumor and normal tissues. The DDR pathway profiling reveals patient-level variations, which may contribute to explaining the high heterogeneity of human GC for the biological features and treatment outcomes. Thus, tumors with low DDR signature scores were independently correlated with shorter overall survival time and significantly associated with mesenchymal, invasion, and metastasis phenotypes. The statistical model integrating this DDR pathway signature with other clinical predictors outperforms each predictor alone for predicting overall survival in discrimination, calibration, and net clinical benefit. Moreover, low DDR signature scores were tightly associated with genome stability, characterized by low tumor mutational burden (TMB) and low fractions of genome alteration. Furthermore, this study confirms that patients with low DDR pathway signature scores might not benefit from adjuvant chemotherapy and a monoclonal antibody directed against programmed cell death-1 ligand 1 (anti-PD1) therapy. These findings highlighted that the DDR pathway profiling confers important implications for patients with GC and provides insights into the specific clinical and molecular features underlying the DDR process, which may help to facilitate clinical management.
Highlights
Gastric cancer (GC) is the sixth most prevalent cancer and the third most common cause of cancer-related death worldwide [1]
Principal component analysis (PCA) determined that the DNA damage repair (DDR) pathway profiles can distinguish with precision between tumor and normal tissues for GC patients (Figure 1A)
Apart from the damage reversal/ repair (DR) pathway, the pathway activity of the other 7 DDR processes was consistently higher in GC tissues
Summary
Gastric cancer (GC) is the sixth most prevalent cancer and the third most common cause of cancer-related death worldwide [1]. The patients with advanced GC still have a poor prognosis (< 20%) despite several treatment options, including surgical resection, targeted therapy, and chemotherapy [3]. Immunotherapy is being explored as adjuvant therapy for patients with advanced GC due to the poor prognosis after standard treatment with conventional chemotherapy. Immune checkpoint inhibitors (ICIs), especially the programmed cell death-1 ligand 1 (anti-PD-1) antibody dramatically changed the therapeutic management for patients with advanced GC. A biomarker that can predict the efficacy of ICI therapy is urgently needed to improve the response rate of GC patients to ICI treatment. Some studies are demonstrating that biomarkers, including the combined positive score (CPS), tumor mutation burden (TMB), infection with Epstein-Barr virus (EBV), and microsatellite instability (MSI) [8, 9] may be used to predict the response to anti-PD-1 therapy in GC. Screening other biomarkers for ICI therapy is demanding to better stratify patients and previously identify the patients that would benefit from the immunotherapy
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