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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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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. |
format | Online Article Text |
id | pubmed-10681555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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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