Molecular prediction of adjuvant cisplatin efficacy in Non-Small Cell Lung Cancer (NSCLC)—validation in two independent cohorts

Autor: Anker Jon Hansen, Peter Buhl Jensen, Thomas Jensen, Jesper Ravn, Jon Askaa, Steen Knudsen, Eric Santoni-Rugiu, Jens Benn Sørensen, Ib Jarle Christensen, Ida Kappel Buhl, Bruce Pratt
Jazyk: dánština
Rok vydání: 2018
Předmět:
Male
0301 basic medicine
Oncology
Lung Neoplasms
medicine.medical_treatment
Carcinoma Cells
Cancer Treatment
Datasets as Topic
lcsh:Medicine
non-small cell lung cancer (NSCLC)
Biochemistry
Lung and Intrathoracic Tumors
Cohort Studies
0302 clinical medicine
Carcinoma
Non-Small-Cell Lung

Antineoplastic Combined Chemotherapy Protocols
Medicine and Health Sciences
lcsh:Science
Randomized Controlled Trials as Topic
Cultured Tumor Cells
Aged
80 and over

Multidisciplinary
Hazard ratio
Squamous Cell Carcinomas
Middle Aged
Prognosis
Nucleic acids
Gene Expression Regulation
Neoplastic

Treatment Outcome
Molecular Diagnostic Techniques
Chemotherapy
Adjuvant

030220 oncology & carcinogenesis
Female
Biological Cultures
Anatomy
Research Article
medicine.drug
Adult
medicine.medical_specialty
Histology
Research and Analysis Methods
Vinorelbine
Carcinomas
03 medical and health sciences
Breast cancer
Cell Line
Tumor

Internal medicine
Genetics
Biomarkers
Tumor

medicine
Carcinoma
Humans
Non-coding RNA
Aged
Cisplatin
Chemotherapy
business.industry
lcsh:R
Cancers and Neoplasms
Biology and Life Sciences
Cancer
Cell Cultures
medicine.disease
Non-Small Cell Lung Cancer
Gene regulation
MicroRNAs
030104 developmental biology
RNA
lcsh:Q
Gene expression
Transcriptome
business
Biomarkers
Zdroj: Buhl, I K, Santoni Rugiu, E, Ravn, J, Hansen, A, Christensen, I J, Jensen, T, Pratt, B, Askaa, J, Jensen, P B, Knudsen, S & Sørensen, J B 2018, ' Molecular prediction of adjuvant cisplatin efficacy in Non-Small Cell Lung Cancer (NSCLC)—validation in two independent cohorts ', PLOS ONE, bind 13, nr. 3, e0194609 . https://doi.org/10.1371/journal.pone.0194609
PLoS ONE, Vol 13, Iss 3, p e0194609 (2018)
PLoS ONE
Popis: IntroductionEffective predictive biomarkers for selection of patients benefiting from adjuvant platinum-based chemotherapy in non-small cell lung cancer (NSCLC) are needed. Based on a previously validated methodology, molecular profiles of predicted sensitivity in two patient cohorts are presented.MethodsThe profiles are correlations between in vitro sensitivity to cisplatin and vinorelbine and baseline mRNA expression of the 60 cell lines in the National Cancer Institute panel. An applied clinical samples filter focused the profiles to clinically relevant genes. The profiles were tested on 1) snap-frozen tumors from 133 patients with completely resected stage 1B-2 NSCLC randomized to adjuvant cisplatin and vinorelbine (ACV, n = 71) or no adjuvant treatment (OBS, n = 62) and 2) formalin-fixed paraffin-embedded (FFPE) tumors from 95 patients with completely resected stage 1A-3B NSCLC receiving adjuvant cisplatin and vinorelbine.ResultsThe combined cisplatin and vinorelbine profiles showed: 1) univariate Hazard Ratio (HR) for sensitive versus resistant of 0.265 (95% CI:0.079–0.889, p = 0.032) in the ACV cohort and a HR of 0.28 in a multivariate model (95% CI:0.08–1.04, p = 0.0573); 2) significant prediction at 3 year survival from surgery in univariate (HR = 0.138 (95% CI:0.035–0.537), p = 0.004) and multivariate analysis (HR = 0.14 (95% CI:0.030–0.6), p = 0.0081). No discrimination was found in the OBS cohort (HR = 1.328, p = 0.60). The cisplatin predictor alone had similar figures with 1) univariate HR of 0.37 (95% CI:0.12–1.15, p = 0.09) in the ACV cohort and 2) univariate HR of 0.14 (95% CI:0.03–0.59, p = 0.0076) to three years. Functional analysis on the cisplatin profile revealed a group of upregulated genes related to RNA splicing as a part of DNA damage repair and apoptosis.ConclusionsProfiles derived from snap-frozen and FFPE NSCLC tissue were prognostic and predictive in the patients that received cisplatin and vinorelbine but not in the cohort that did not receive adjuvant treatment.
Databáze: OpenAIRE