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Genomic profiling for non-small cell lung cancer: Clinical relevance in staging and prognosis

Lung cancer is one of the most common cancers prevalent and around 80% of all cases are non-small cell lung cancer (NSCLC). Due to high recurrence rates, the mortality of NSCLC is high. Conventional staging systems allowed risk classification of patients in order to simplify the patient selection fo...

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Autores principales: Bhattarai, Abhinav, Shah, Sangam, Abu Serhan, Hashem, Sah, Ranjit, Sah, Sanjit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681555/
https://www.ncbi.nlm.nih.gov/pubmed/38013359
http://dx.doi.org/10.1097/MD.0000000000036003
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author Bhattarai, Abhinav
Shah, Sangam
Abu Serhan, Hashem
Sah, Ranjit
Sah, Sanjit
author_facet Bhattarai, Abhinav
Shah, Sangam
Abu Serhan, Hashem
Sah, Ranjit
Sah, Sanjit
author_sort Bhattarai, Abhinav
collection PubMed
description Lung cancer is one of the most common cancers prevalent and around 80% of all cases are non-small cell lung cancer (NSCLC). Due to high recurrence rates, the mortality of NSCLC is high. Conventional staging systems allowed risk classification of patients in order to simplify the patient selection for adjuvant chemotherapy. Gene expression analysis has been shown to possess advantage over conventional staging systems in NSCLC in terms of patients risk classification. This article reviews the evidences on the genomic profiling of NSCLC patients into high and low-risk groups based on the expression of genes involved in various proliferative pathways.
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spelling pubmed-106815552023-11-24 Genomic profiling for non-small cell lung cancer: Clinical relevance in staging and prognosis Bhattarai, Abhinav Shah, Sangam Abu Serhan, Hashem Sah, Ranjit Sah, Sanjit Medicine (Baltimore) 6700 Lung cancer is one of the most common cancers prevalent and around 80% of all cases are non-small cell lung cancer (NSCLC). Due to high recurrence rates, the mortality of NSCLC is high. Conventional staging systems allowed risk classification of patients in order to simplify the patient selection for adjuvant chemotherapy. Gene expression analysis has been shown to possess advantage over conventional staging systems in NSCLC in terms of patients risk classification. This article reviews the evidences on the genomic profiling of NSCLC patients into high and low-risk groups based on the expression of genes involved in various proliferative pathways. Lippincott Williams & Wilkins 2023-11-24 /pmc/articles/PMC10681555/ /pubmed/38013359 http://dx.doi.org/10.1097/MD.0000000000036003 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 6700
Bhattarai, Abhinav
Shah, Sangam
Abu Serhan, Hashem
Sah, Ranjit
Sah, Sanjit
Genomic profiling for non-small cell lung cancer: Clinical relevance in staging and prognosis
title Genomic profiling for non-small cell lung cancer: Clinical relevance in staging and prognosis
title_full Genomic profiling for non-small cell lung cancer: Clinical relevance in staging and prognosis
title_fullStr Genomic profiling for non-small cell lung cancer: Clinical relevance in staging and prognosis
title_full_unstemmed Genomic profiling for non-small cell lung cancer: Clinical relevance in staging and prognosis
title_short Genomic profiling for non-small cell lung cancer: Clinical relevance in staging and prognosis
title_sort genomic profiling for non-small cell lung cancer: clinical relevance in staging and prognosis
topic 6700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681555/
https://www.ncbi.nlm.nih.gov/pubmed/38013359
http://dx.doi.org/10.1097/MD.0000000000036003
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