Predictive Value of ERCC1, ERCC2, and XRCC Expression for Patients with Locally Advanced or Metastatic Gastric Cancer Treated with Neoadjuvant mFOLFOX-4 Chemotherapy.

The dismal outcome in patients with locally advanced or metastatic gastric cancer (GC) highlights the need for effective systemic neoadjuvant chemotherapy to improve clinical results. This study evaluated the correlation between the expression of three DNA repair genes, namely the excision repair cross-complementing group 1 (ERCC1), excision repair cross-complementing group 2 (ERCC2), and X-ray repair cross-complementing protein 1 (XRCC1) and the clinical outcome of patients with locally advanced or metastatic GC treated with mFOLFOX-4 neoadjuvant chemotherapy. Fifty-eight patients with histologically confirmed locally advanced or metastatic GC following neoadjuvant mFOLFOX-4 chemotherapy were enrolled between January 2009 and January 2018. We analyzed clinicopathological features and ERCC1, ERCC2, and XRCC1 expression to identify potential predictors of clinical response. Among the 58 patients, 16 (27.6%) were categorized into the response group (partial response) and 42 into the nonresponse group (stable disease in 24 patients and progressive disease in 18 patients). A multivariate analysis showed that ERCC1 overexpression (P = 0.003), ERCC2 overexpression (P = 0.049), and either ERCC1 or ERCC2 overexpression (P = 0.002) were independent predictors of response following mFOLFOX-4 neoadjuvant chemotherapy. Additionally, ERCC1 and ERCC2 overexpression did not only predict the response but also progression-free survival (both P < 0.05) and overall survival (both P < 0.05). ERCC1 and ERCC2 overexpression are promising predictive biomarkers for patients with locally advanced or metastatic GC receiving neoadjuvant mFOLFOX-4 chemotherapy and the potential clinical implication is mandatory for further investigation.

Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study.

The diagnosis for pseudoprogression (PsP) and true tumor progression (TTP) of GBM is a challenging task in clinical practices. The purpose of this study is to identify potential genetic biomarkers associated with PsP and TTP based on the clinical records, longitudinal imaging features, and genomics data. We are the first to introduce the radiogenomics approach to identify candidate genes for PsP and TTP of GBM. Specifically, a novel longitudinal sparse regression model was developed to construct the relationship between gene expression and imaging features. The imaging features were extracted from tumors along the longitudinal MRI and provided diagnostic information of PsP and TTP. The 33 candidate genes were selected based on their association with the imaging features, reflecting their relation with the development of PsP and TTP. We then conducted biological relevance analysis for 33 candidate genes to identify the potential biomarkers, i.e., Interferon regulatory factor (IRF9) and X-ray repair cross-complementing gene (XRCC1), which were involved in the cancer suppression and prevention, respectively. The IRF9 and XRCC1 were further independently validated in the TCGA data. Our results provided the first substantial evidence that IRF9 and XRCC1 can serve as the potential biomarkers for the development of PsP and TTP.