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Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases

BACKGROUND: Despite anecdotal reports of differences in clinical and demographic characteristics of The Cancer Genome Atlas (TCGA) relative to general population cancer cases, differences have not been systematically evaluated. METHODS: Data from 11,160 cases with 33 cancer types were ascertained fr...

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Autores principales: Wang, Xiaoyan, Steensma, Joseph T., Bailey, Matthew H., Feng, Qianxi, Padda, Hannah, Johnson, Kimberly J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189215/
https://www.ncbi.nlm.nih.gov/pubmed/30131556
http://dx.doi.org/10.1038/s41416-018-0140-8
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author Wang, Xiaoyan
Steensma, Joseph T.
Bailey, Matthew H.
Feng, Qianxi
Padda, Hannah
Johnson, Kimberly J.
author_facet Wang, Xiaoyan
Steensma, Joseph T.
Bailey, Matthew H.
Feng, Qianxi
Padda, Hannah
Johnson, Kimberly J.
author_sort Wang, Xiaoyan
collection PubMed
description BACKGROUND: Despite anecdotal reports of differences in clinical and demographic characteristics of The Cancer Genome Atlas (TCGA) relative to general population cancer cases, differences have not been systematically evaluated. METHODS: Data from 11,160 cases with 33 cancer types were ascertained from TCGA data portal. Corresponding data from the Surveillance, Epidemiology, and End Results (SEER) 18 and North American Association of Central Cancer Registries databases were obtained. Differences in characteristics were compared using Student’s t, Chi-square, and Fisher’s exact tests. Differences in mean survival months were assessed using restricted mean survival time analysis and generalised linear model. RESULTS: TCGA cases were 3.9 years (95% CI 1.7–6.2) younger on average than SEER cases, with a significantly younger mean age for 20/33 cancer types. Although most cancer types had a similar sex distribution, race and stage at diagnosis distributions were disproportional for 13/18 and 25/26 assessed cancer types, respectively. Using 12 months as an end point, the observed mean survival months were longer for 27 of 33 TCGA cancer types. CONCLUSIONS: Differences exist in the characteristics of TCGA vs. general population cancer cases. Our study highlights population subgroups where increased sample collection is warranted to increase the applicability of cancer genomic research results to all individuals.
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spelling pubmed-61892152019-09-05 Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases Wang, Xiaoyan Steensma, Joseph T. Bailey, Matthew H. Feng, Qianxi Padda, Hannah Johnson, Kimberly J. Br J Cancer Article BACKGROUND: Despite anecdotal reports of differences in clinical and demographic characteristics of The Cancer Genome Atlas (TCGA) relative to general population cancer cases, differences have not been systematically evaluated. METHODS: Data from 11,160 cases with 33 cancer types were ascertained from TCGA data portal. Corresponding data from the Surveillance, Epidemiology, and End Results (SEER) 18 and North American Association of Central Cancer Registries databases were obtained. Differences in characteristics were compared using Student’s t, Chi-square, and Fisher’s exact tests. Differences in mean survival months were assessed using restricted mean survival time analysis and generalised linear model. RESULTS: TCGA cases were 3.9 years (95% CI 1.7–6.2) younger on average than SEER cases, with a significantly younger mean age for 20/33 cancer types. Although most cancer types had a similar sex distribution, race and stage at diagnosis distributions were disproportional for 13/18 and 25/26 assessed cancer types, respectively. Using 12 months as an end point, the observed mean survival months were longer for 27 of 33 TCGA cancer types. CONCLUSIONS: Differences exist in the characteristics of TCGA vs. general population cancer cases. Our study highlights population subgroups where increased sample collection is warranted to increase the applicability of cancer genomic research results to all individuals. Nature Publishing Group UK 2018-08-21 2018-10-02 /pmc/articles/PMC6189215/ /pubmed/30131556 http://dx.doi.org/10.1038/s41416-018-0140-8 Text en © Cancer Research UK 2018 https://creativecommons.org/licenses/by/4.0/Note: This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution 4.0 International (CC BY 4.0).
spellingShingle Article
Wang, Xiaoyan
Steensma, Joseph T.
Bailey, Matthew H.
Feng, Qianxi
Padda, Hannah
Johnson, Kimberly J.
Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases
title Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases
title_full Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases
title_fullStr Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases
title_full_unstemmed Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases
title_short Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases
title_sort characteristics of the cancer genome atlas cases relative to u.s. general population cancer cases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189215/
https://www.ncbi.nlm.nih.gov/pubmed/30131556
http://dx.doi.org/10.1038/s41416-018-0140-8
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