Incidence of Lung Adenocarcinoma Biomarker in a Caribbean and African Caribbean Population

Leduc, Nicolas; Ahomadegbé, C.; Agossou, Moustapha; Aline-Fardin, Aude; Mahjoubi, Linda; Roget, L; Grossat, Nathalie; Vinh-Hung, Vincent; Lamy, Aude; Sabourin, Jean Christophe; Molinié, Vincent

doi:10.1016/j.jtho.2016.01.019

Cited by 12 publications

(8 citation statements)

References 6 publications

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“…Clifford et al reviewed those controversial reports, pointing at some potential reasons: population bias concerning sex, smoker status and self-reporting ethnicity, disparity in technological approaches used to detect mutations as well as Simpson's paradox, which is the statistical correlation observed in aggregated heterogeneous groups which could be reversed when groups are disaggregated [35]. Moreover, in a recent study in Caribbean populations, mostly African descendent, Leduc et al found EGFR mutations in 36% of patients, which is higher than expected [36]. The authors ascribed their finding to environmental factors such as low tobacco consumption.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of EGFR Mutations in Lung Cancer in Uruguayan Population

Berois

Touya

Ubillos

et al. 2017

Journal of Cancer Epidemiology

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Background Incorporation of molecular analysis of the epidermal growth factor receptor (EGFR) gene into routine clinical practice represents a milestone for personalized therapy of the non-small-cell lung cancer (NSCLC). However, the genetic testing of EGFR mutations has not yet become a routine clinical practice in developing countries. In view of different prevalence of such mutations among different ethnicities and geographic regions, as well as the limited existing data from Latin America, our aim was to study the frequency of major types of activating mutations of the EGFR gene in NSCLC patients from Uruguay. Methods We examined EGFR mutations in exons 18 through 21 in 289 NSCLC Uruguayan patients by PCR-direct sequencing. Results EGFR mutations were detected in 53 of the 289 (18.3%) patients, more frequently in women (23.4%) than in men (14.5%). The distribution by exon was similar to that generally reported in the literature. Conclusions This first epidemiological study of EGFR mutations in Uruguay reveals a wide spectrum of mutations and an overall prevalence of 18.3%. The background ethnic structure of the Uruguayan population could play an important role in explaining our findings.

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Section: Discussionmentioning

confidence: 99%

Prevalence of EGFR Mutations in Lung Cancer in Uruguayan Population

Berois

Touya

Ubillos

et al. 2017

Journal of Cancer Epidemiology

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“…The most common NSCLC histological phenotypes are lung adenocarcinoma (LADC, ∼50% of patients) and lung squamous cell carcinoma (LSCC, ∼40% of patients) [ 1 ]. LADC cells commonly exhibit abnormal gene expression patterns and large numbers of gene mutations [ 2 ], and are characterized by specific biomarkers[ 3 – 7 ] and prognostic factors [ 8 – 10 ] that can be used to guide clinical diagnosis and treatment. LSCC cells also exhibit complex genomic alterations, including numerous gene mutations and copy number alterations [ 11 ], and are associated with particular biomarkers [ 12 – 14 ] and prognostic factors [ 15 – 17 ].…”

Section: Introductionmentioning

confidence: 99%

Eight potential biomarkers for distinguishing between lung adenocarcinoma and squamous cell carcinoma

Xiao

Chen

et al. 2017

Oncotarget

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Lung adenocarcinoma (LADC) and squamous cell carcinoma (LSCC) are the most common non-small cell lung cancer histological phenotypes. Accurate diagnosis distinguishing between these two lung cancer types has clinical significance. For this study, we analyzed four Gene Expression Omnibus (GEO) datasets (GSE28571, GSE37745, GSE43580, and GSE50081). We then imported the datasets into the Gene-Cloud of Biotechnology Information online platform to identify genes differentially expressed in LADC and LSCC. We identified DSG3 (desmoglein 3), KRT5 (keratin 5), KRT6A (keratin 6A), KRT6B (keratin 6B), NKX2-1 (NK2 homeobox 1), SFTA2 (surfactant associated 2), SFTA3 (surfactant associated 3), and TMC5 (transmembrane channel-like 5) as potential biomarkers for distinguishing between LADC and LSCC. Receiver operating characteristic curve analysis suggested that KRT5 had the highest diagnostic value for discriminating between these two cancer types. Using the PrognoScan online survival analysis tool and the Kaplan-Meier Plotter, we found that high KRT6A or KRT6B levels, or low NKX2-1, SFTA3, or TMC5 levels correlated with unfavorable prognoses in LADC patients. Further studies will be needed to verify our findings in additional patient samples, and to elucidate the mechanisms of action of these potential biomarkers in non-small cell lung cancer.

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“…However, birthplace was not an independent factor in mutation in the multivariate analysis. 1 In our opinion, this study finding raises an important question. Which epidemiological factors could have the most influence on EGFR mutation frequency: ethnic differences, smoking status, sex, or age of the patient?…”

Section: To the Editormentioning

confidence: 77%

“…We read with great interest the article of Leduc et al titled "Incidence of Lung Adenocarcinoma Biomarker in a Caribbean and African Caribbean Population." 1 In this work, the authors retrospectively identified targetable biomarkers in Caribbean patients with lung adenocarcinoma, including EGFR gene mutations.…”

Section: To the Editormentioning

confidence: 99%