Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Clinical impact of a novel microRNA chemo-sensitivity predictor in gastroesophageal cancer

ABSTRACT: Background: miRNAs might be potentially useful biomarkers for prediction of response to chemotherapeutic agents, radiotherapy and survival. The aim of this retrospective study was to validate miRNA response predictors in a cohort of patients with gastroesophageal cancer in order to predict overall survival (OS) and disease-specific survival (DSS). Material and methods: The study population encompassed 53 patients treated with curative intended for loco-regional gastroesophageal cancer. miRNA expression was quantified from pre-therapeutic and diagnostic, formalin-fixed, paraffin embedded tumor specimens using Affymetrix GeneChip miRNA 1.0 Array. Based on growth inhibition of the NCI60 panel in the presence of cisplatin, epirubicine and capecitabine, a miRNA based response predictor was developed. The Cox proportional hazards model was applied to assess the correlations of the response predictor with OS and DSS. Results: A univariate analysis demonstrated a statistical significant improvement of OS for patients who had undergone surgical resection with prediction scores above the median prediction score (HR: 0.41 (95% CI: 0.17-0.96). Adjusting for surgery and stage, this predictor was identified to be independently associated with both OS (HR: 0.37 (95% CI: 0.16-0.87)) and DSS (HR: 0.32 (0.12-0.87)). Conclusion: The miRNA profile predictive for sensitivity to cisplatin, epirubicine and capecitabine was shown to be independently associated with OS and DSS in patients with gastroesophageal cancer. Tumor biopsies from 53 patients with gastroesophageal cancer *** Submitter has provided limited clinical information. Thus, this submission is incomplete. ***

ORGANISM(S): Homo sapiens

SUBMITTER: Mette Winther

PROVIDER: E-GEOD-78049 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Introduction: Several attempts have been made to expand the indications of liver transplantation for hepatocellular carcinoma (HCC) beyond Milan criteria. We aimed to define genomic features that enable the identification of patients with HCC beyond Milan criteria who have acceptable transplant outcomes. Methods: Among 770 consecutive HCC patients transplanted at Mount Sinai Hospital and Mayo Clinic between 1990 and 2013, 132 had tumors exceeding Milan criteria on pathology and were enrolled in the study. Explant tumors were analyzed to assess genomic signatures of poor prognosis and immunohistochemical markers associated with tumor recurrence and overall survival. Results: Most of the patients were males (80%) and HCV positive (71%) with a median age of 56. HCC beyond Milan criteria was defined pre-operative in 67%. On pathology, 44% of the patients satisfied the ‘up-to-7 rule’. At a median follow-up of 88 months, 64 patients had died and 45 recurred; the 5-year overall survival (OS) and recurrence rates were 57% and 35%, respectively. CK19 gene signature was independently associated with recurrence (HR=2.95, p<0.001), along with tumor size >5 cm (HR=3.37, p=0.023) and presence of satellite lesions (HR=2.98, p=0.001). S2 subclass signature, which is known to be associated with progenitor cell markers, was independently associated with poor OS (HR=3.18, p=0.001), along with tumor size >5 cm (HR=5.06, p<0.001) and outside up-to-seven rule (HR=2.50, p=0.002). Using the presence of markers of progenitor cells (either CK19 or S2 subclass signatures) patients may be classified into poor-prognosis (n=58; 5-year recurrence 53%, survival 45%) and good-prognosis subgroups (n=74; 5-year recurrence 19%, survival 67%) (HR=3.16, p<0.001 for recurrence, and HR=1.72, p=0.04 for OS). Conclusion: Gene signatures associated with progenitor cell markers (CK19 and S2 subclass signatures) define outcome of HCC patients beyond Milan criteria after transplantation. Patients without these signatures achieve survival rates similar as those patients within Milan criteria. Once prospectively validated, these markers may provide the rationale for a limited expansion of liver transplantation indications.

Dataset Information

Clinical impact of a novel microRNA chemo-sensitivity predictor in gastroesophageal cancer

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets