ArticleBritish journal of cancer2018
Characteristics of The Cancer Genome Atlas cases relative to U.S. general population cancer cases.
Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
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- ColoStem, a core oncofetal signature that identifies poor prognosis colorectal tumors.British journal of cancer · 2026Article
- AI in Cancer Prognosis: A Systematic Review of Multimodal Models Combining Pathology Images and High-Throughput Omics.Cancer informatics · 2026Article
- Article
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- Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida.Cancer research communications · 2025Article
- Genomic Analysis Reveals Racial and Age-Related Differences in the Somatic Landscape of Breast Cancer and the Association with Socioeconomic Factors.Cancer research · 2025Article
- Differential Expression of miRNAs Between Young-Onset and Late-Onset Indian Colorectal Carcinoma Patients.Non-coding RNA · 2025Article
- Molecular Classification of Breast Cancer Using Weakly Supervised Learning.Cancer research and treatment · 2025Article
- The combination of venetoclax and quercetin exerts a cytotoxic effect on acute myeloid leukemia.Scientific reports · 2024Article
- Deficits of Molecular Prognosis/Diagnosis Studies in Underserved Populations.JCO oncology practice · 2024Review
- Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning.EBioMedicine · 2024Article
- Systematic Characterization of p53-Regulated Long Noncoding RNAs across Human Cancers Reveals Remarkable Heterogeneity among Different Tumor Types.Molecular cancer research : MCR · 2024Article
- Network dynamics and therapeutic aspects of mRNA and protein markers with the recurrence sites of pancreatic cancer.Heliyon · 2024Article
- What can we learn about acid-base transporters in cancer from studying somatic mutations in their genes?Pflugers Archiv : European journal of physiology · 2024Review
- Demographic bias in misdiagnosis by computational pathology models.Nature medicine · 2024Article
- A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancer.Nature medicine · 2024Article
- Pan-cancer landscape of epigenetic factor expression predicts tumor outcome.Communications biology · 2023Article
- Landmark Series: The Cancer Genome Atlas and the Study of Breast Cancer Disparities.Annals of surgical oncology · 2023Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite 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.
methodsData 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.
resultsTCGA 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.
conclusionsDifferences 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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