Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 329

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Genomic Analyses Reveal Mutational Signatures and Frequently Altered Genes in Esophageal Squamous Cell Carcinoma

Open access
Zhang, Ling, Zhou, Yong, Cheng, Caixia, Cui, Heyang, Cheng, Le, Kong, Pengzhou, Wang, Jiaqian, Li, Yin, Chen, Wenliang, Song, Bin, Wang, Fang, Jia, Zhiwu, Li, Lin, Li, Yaoping, Yang, Bin, Liu, Jing, Shi, Ruyi, Bi, Yanghui, Zhang, Yanyan, Wang, Juan, Zhao, Zhenxiang, Hu, Xiaoling, Yang, Jie, Li, Hongyi, Gao, Zhibo, Chen, Gang, Huang, Xuanlin, Yang, Xukui, Wan, Shengqing, Chen, Chao, Li, Bin, Tan, Yongkai, Chen, Longyun, He, Minghui, Xie, Sha, Li, Xiangchun, Zhuang, Xuehan, Wang, Mengyao, Xia, Zhi, Luo, Longhai, Ma, Jie, Dong, Bing, Zhao, Jiuzhou, Song, Yongmei, Ou, Yunwei, Li, Enming, Xu, Liyan, Wang, Jinfen, Xi, Yanfeng, Li, Guodong, Xu, Enwei, Liang, Jianfang, Yang, Xiaofeng, Guo, Jiansheng, Chen, Xing, Zhang, Yanbo, Li, Qingshan, Liu, Lixin, Li, Yingrui, Zhang, Xiuqing, Yang, Huanming, Lin, Dongxin, Cheng, Xiaolong, Guo, Yongjun, Wang, Jun, Zhan, Qimin, Cui, Yongping·2015·The American Journal of Human Genetics

Abstract

Esophageal squamous cell carcinoma (ESCC) is one of the most common cancers worldwide and the fourth most lethal cancer in China. However, although genomic studies have identified some mutations associated with ESCC, we know little of the mutational processes responsible. To identify genome-wide mutational signatures, we performed either whole-genome sequencing (WGS) or whole-exome sequencing (WES) on 104 ESCC individuals and combined our data with those of 88 previously reported samples. An APOBEC-mediated mutational signature in 47% of 192 tumors suggests that APOBEC-catalyzed deamination provides a source of DNA damage in ESCC. Moreover, PIK3CA hotspot mutations (c.1624G>A [p.Glu542Lys] and c.1633G>A [p.Glu545Lys]) were enriched in APOBEC-signature tumors, and no smoking-associated signature was observed in ESCC. In the samples analyzed by WGS, we identified focal (<100 kb) amplifications of CBX4 and CBX8. In our combined cohort, we identified frequent inactivating mutations in AJUBA, ZNF750, and PTCH1 and the chromatin-remodeling genes CREBBP and BAP1, in addition to known mutations. Functional analyses suggest roles for several genes (CBX4, CBX8, AJUBA, and ZNF750) in ESCC. Notably, high activity of hedgehog signaling and the PI3K pathway in approximately 60% of 104 ESCC tumors indicates that therapies targeting these pathways might be particularly promising strategies for ESCC. Collectively, our data provide comprehensive insights into the mutational signatures of ESCC and identify markers for early diagnosis and potential therapeutic targets.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ajhg.2015.02.017

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 47 references

Cited by

See all 329

Metadata

Authors
Zhang, L., Zhou, Y., Cheng, C., Cui, H., Cheng, L., Kong, P., Wang, J., Li, Y., Chen, W., Song, B., Wang, F., Jia, Z., Li, L., Li, Y., Yang, B., Liu, J., Shi, R., Bi, Y., Zhang, Y., Wang, J., Zhao, Z., Hu, X., Yang, J., Li, H., Gao, Z., Chen, G., Huang, X., Yang, X., Wan, S., Chen, C., Li, B., Tan, Y., Chen, L., He, M., Xie, S., Li, X., Zhuang, X., Wang, M., Xia, Z., Luo, L., Ma, J., Dong, B., Zhao, J., Song, Y., Ou, Y., Li, E., Xu, L., Wang, J., Xi, Y., Li, G., Xu, E., Liang, J., Yang, X., Guo, J., Chen, X., Zhang, Y., Li, Q., Liu, L., Li, Y., Zhang, X., Yang, H., Lin, D., Cheng, X., Guo, Y., Wang, J., Zhan, Q., & Cui, Y.
Venue
The American Journal of Human Genetics
Publisher
Elsevier BV
Published
2015-04
Volume
96
Issue
4
Pages
597-611
ISSN
0002-9297 (ISSN-L)
OpenAlex
W2075453277
Cited by
329
References
47
FWCI
32.72
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Genomic Analyses Reveal Mutational Signatures and Frequently Altered Genes in Esophageal Squamous Cell Carcinoma. https://app.cochat.ai/papers/10.1016/j.ajhg.2015.02.017
The paper
Zhang, L., Zhou, Y., Cheng, C., Cui, H., Cheng, L., Kong, P., Wang, J., Li, Y., Chen, W., Song, B., Wang, F., Jia, Z., Li, L., Li, Y., Yang, B., Liu, J., Shi, R., Bi, Y., Zhang, Y., . . . Cui, Y. (2015). Genomic Analyses Reveal Mutational Signatures and Frequently Altered Genes in Esophageal Squamous Cell Carcinoma. The American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2015.02.017

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.