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Usage Information

Subtyping sub-Saharan esophageal squamous cell carcinoma by comprehensive molecular analysis
Wenjin Liu, Jeff M. Snell, William R. Jeck, Katherine A. Hoadley, Matthew D. Wilkerson, Joel S. Parker, Nirali Patel, Yohannie B. Mlombe, Gift Mulima, N. George Liomba, Lindsey L. Wolf, Carol G. Shores, Satish Gopal, Norman E. Sharpless
Wenjin Liu, Jeff M. Snell, William R. Jeck, Katherine A. Hoadley, Matthew D. Wilkerson, Joel S. Parker, Nirali Patel, Yohannie B. Mlombe, Gift Mulima, N. George Liomba, Lindsey L. Wolf, Carol G. Shores, Satish Gopal, Norman E. Sharpless
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Research Article Genetics Oncology

Subtyping sub-Saharan esophageal squamous cell carcinoma by comprehensive molecular analysis

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Abstract

Esophageal squamous cell carcinoma (ESCC) is endemic in regions of sub-Saharan Africa (SSA), where it is the third most common cancer. Here, we describe whole-exome tumor/normal sequencing and RNA transcriptomic analysis of 59 patients with ESCC in Malawi. We observed similar genetic aberrations as reported in Asian and North American cohorts, including mutations of TP53, CDKN2A, NFE2L2, CHEK2, NOTCH1, FAT1, and FBXW7. Analyses for nonhuman sequences did not reveal evidence for infection with HPV or other occult pathogens. Mutational signature analysis revealed common signatures associated with aging, cytidine deaminase activity (APOBEC), and a third signature of unknown origin, but signatures of inhaled tobacco use, aflatoxin and mismatch repair were notably absent. Based on RNA expression analysis, ESCC could be divided into 3 distinct subtypes, which were distinguished by their expression of cell cycle and neural transcripts. This study demonstrates discrete subtypes of ESCC in SSA, and suggests that the endemic nature of this disease reflects exposure to a carcinogen other than tobacco and oncogenic viruses.

Authors

Wenjin Liu, Jeff M. Snell, William R. Jeck, Katherine A. Hoadley, Matthew D. Wilkerson, Joel S. Parker, Nirali Patel, Yohannie B. Mlombe, Gift Mulima, N. George Liomba, Lindsey L. Wolf, Carol G. Shores, Satish Gopal, Norman E. Sharpless

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 515 58
PDF 122 11
Figure 225 2
Table 80 0
Supplemental data 39 1
Citation downloads 111 0
Totals 1,092 72
Total Views 1,164
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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