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Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA
Biomarkers may be useful when deciding which nonsmall cell lung cancer (NSCLC) patients may benefit from adjuvant chemotherapy following complete resection and which chemotherapeutic agents may be used preferably in individual patients in order to maximise survival. A literature search covering the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487808/ https://www.ncbi.nlm.nih.gov/pubmed/26028645 http://dx.doi.org/10.1183/16000617.00005814 |
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author | Wallerek, Sandra Sørensen, Jens Benn |
author_facet | Wallerek, Sandra Sørensen, Jens Benn |
author_sort | Wallerek, Sandra |
collection | PubMed |
description | Biomarkers may be useful when deciding which nonsmall cell lung cancer (NSCLC) patients may benefit from adjuvant chemotherapy following complete resection and which chemotherapeutic agents may be used preferably in individual patients in order to maximise survival. A literature search covering the period from 2003 to May, 2014 was conducted using PubMed and the following search terms: “non-small cell lung cancer”, “NSCLC”, “adjuvant chemotherapy”, “randomized”, “randomised”, “biomarkers”, “prognostic”, “predictive”. This review focuses on current knowledge of biomarkers for prognosis or efficacy of adjuvant treatment following complete resection in stage I–IIIA NSCLC patients. This review includes results on 18 different biomarkers and five gene profiles. A statistically significant prognostic impact was reported for: iNTR, TUBB3, RRM1, ERCC1, BRCA1, p53, MRP2, MSH2, TS, mucin, BAG-1, pERK1/2, pAkt-1, microRNA, TopIIA, 15-gene profile, 92-gene profile, 31-gene profile and 14-gene profile. A statistically significant predictive impact was reported for: ERCC1, p53, MSH2, p27, TUBB3, PARP1, ATM, 37-gene profile, 31-gene profile, 15-gene profile and 92-gene profile. Uncertainties regarding the optimal analysis method and cut-off levels for the individual markers may blur the prognostic or predictive signals. None of the possible predictive markers have been validated in prospective trials. Thus, there are no biomarkers ready to use in an adjuvant setting in NSCLC. |
format | Online Article Text |
id | pubmed-9487808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94878082022-11-14 Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA Wallerek, Sandra Sørensen, Jens Benn Eur Respir Rev Reviews Biomarkers may be useful when deciding which nonsmall cell lung cancer (NSCLC) patients may benefit from adjuvant chemotherapy following complete resection and which chemotherapeutic agents may be used preferably in individual patients in order to maximise survival. A literature search covering the period from 2003 to May, 2014 was conducted using PubMed and the following search terms: “non-small cell lung cancer”, “NSCLC”, “adjuvant chemotherapy”, “randomized”, “randomised”, “biomarkers”, “prognostic”, “predictive”. This review focuses on current knowledge of biomarkers for prognosis or efficacy of adjuvant treatment following complete resection in stage I–IIIA NSCLC patients. This review includes results on 18 different biomarkers and five gene profiles. A statistically significant prognostic impact was reported for: iNTR, TUBB3, RRM1, ERCC1, BRCA1, p53, MRP2, MSH2, TS, mucin, BAG-1, pERK1/2, pAkt-1, microRNA, TopIIA, 15-gene profile, 92-gene profile, 31-gene profile and 14-gene profile. A statistically significant predictive impact was reported for: ERCC1, p53, MSH2, p27, TUBB3, PARP1, ATM, 37-gene profile, 31-gene profile, 15-gene profile and 92-gene profile. Uncertainties regarding the optimal analysis method and cut-off levels for the individual markers may blur the prognostic or predictive signals. None of the possible predictive markers have been validated in prospective trials. Thus, there are no biomarkers ready to use in an adjuvant setting in NSCLC. European Respiratory Society 2015-06 /pmc/articles/PMC9487808/ /pubmed/26028645 http://dx.doi.org/10.1183/16000617.00005814 Text en Copyright ©ERS 2015. https://creativecommons.org/licenses/by-nc/4.0/ERR articles are open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. |
spellingShingle | Reviews Wallerek, Sandra Sørensen, Jens Benn Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA |
title | Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA |
title_full | Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA |
title_fullStr | Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA |
title_full_unstemmed | Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA |
title_short | Biomarkers for efficacy of adjuvant chemotherapy following complete resection in NSCLC stages I–IIIA |
title_sort | biomarkers for efficacy of adjuvant chemotherapy following complete resection in nsclc stages i–iiia |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487808/ https://www.ncbi.nlm.nih.gov/pubmed/26028645 http://dx.doi.org/10.1183/16000617.00005814 |
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