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Reviews on Recent Clinical Trials

Editor-in-Chief

ISSN (Print): 1574-8871
ISSN (Online): 1876-1038

Lung Cancer Mutations and Use of Targeted Agents in Hispanics

Author(s): W. Douglas Cress, Alberto Chiappori, Pedro Santiago and Teresita Munoz-Antonia

Volume 9, Issue 4, 2014

Page: [225 - 232] Pages: 8

DOI: 10.2174/1574887110666150127103555

Price: $65

Abstract

Hispanic/Latinos (H/L) are expected to grow to over 24% of the USA population by 2050 and lung cancer is the number one cause of cancer death among H/L men. Due to the information that is becoming available via genetic testing, lung cancer molecular profiling is allowing for increasing application of personalized lung cancer therapies. However, to benefit the most people, development of these therapies and genetic tests must include research on as many racial and ethnic groups as possible. The purpose of this review is to bring attention to the fact that the mutations driving lung cancer in H/Ls differ in frequency and nature relative to the non-Hispanic White (WNH) majority that dominate current databases and participate in clinical trials that test new therapies. Clinical trials using new agents targeting genetic alterations (driver mutations) in lung cancer have demonstrated significant improvements in patient outcomes (for example, gefitinib, erlotinib or crizotinib for lung adenocarcinomas harboring EGFR mutations or EML4-ALK fusions, respectively). The nature and frequencies of some lung cancer driver mutations have been shown to be considerably different among racial and ethnic groups. This is particularly true for H/Ls. For example, several reports suggest a dramatic shift in the mutation pattern from predominantly KRAS in a WNH population to predominantly EGFR in multiple H/L populations. However, these studies are limited, and the effects of racial and ethnic differences on the incidence of mutations in lung cancer remain incompletely understood. This review serves as a call to address this problem.

Keywords: Hispanic, latino, lung cancer, mutations, targeted agents.

Graphical Abstract

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