Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 363

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis

Open access
Zhang, Xiannian, Peng, Linna, Luo, Yingying, Zhang, Shaosen, Pu, Yang, Chen, Yamei, Guo, Wenjia, Yao, Jiacheng, Shao, Mingming, Fan, Wenyi, Cui, Qionghua, Xi, Yiyi, Sun, Yanxia, Niu, Xiangjie, Zhao, Xuan, Chen, Liping, Wang, Yuqian, Liu, Yachen, Yang, Xinyu, Wang, Chengcheng, Zhong, Ce, Tan, Wen, Wang, Jianbin, Wu, Chen, Lin, Dongxin·2021·Nature Communications

Abstract

Esophageal squamous-cell carcinoma (ESCC), one of the most prevalent and lethal malignant disease, has a complex but unknown tumor ecosystem. Here, we investigate the composition of ESCC tumors based on 208,659 single-cell transcriptomes derived from 60 individuals. We identify 8 common expression programs from malignant epithelial cells and discover 42 cell types, including 26 immune cell and 16 nonimmune stromal cell subtypes in the tumor microenvironment (TME), and analyse the interactions between cancer cells and other cells and the interactions among different cell types in the TME. Moreover, we link the cancer cell transcriptomes to the somatic mutations and identify several markers significantly associated with patients’ survival, which may be relevant to precision care of ESCC patients. These results reveal the immunosuppressive status in the ESCC TME and further our understanding of ESCC.

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 · 10.1038/s41467-021-25539-x

Cites

80 of 80 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 80 references

Cited by

See all 363

Metadata

Authors
Zhang, X., Peng, L., Luo, Y., Zhang, S., Pu, Y., Chen, Y., Guo, W., Yao, J., Shao, M., Fan, W., Cui, Q., Xi, Y., Sun, Y., Niu, X., Zhao, X., Chen, L., Wang, Y., Liu, Y., Yang, X., Wang, C., Zhong, C., Tan, W., Wang, J., Wu, C., & Lin, D.
Venue
Nature Communications
Published
2021-09-06
Volume
12
Issue
1
Pages
5291-5291
ISSN
2041-1723 (ISSN-L)
OpenAlex
W3196701377
Cited by
363
References
80
FWCI
15.30
Type
journal article
Language
en
Open access
gold

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: Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis. https://app.cochat.ai/papers/10.1038/s41467-021-25539-x
The paper
Zhang, X., Peng, L., Luo, Y., Zhang, S., Pu, Y., Chen, Y., Guo, W., Yao, J., Shao, M., Fan, W., Cui, Q., Xi, Y., Sun, Y., Niu, X., Zhao, X., Chen, L., Wang, Y., Liu, Y., Yang, X., . . . Lin, D. (2021). Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis. Nature Communications. https://doi.org/10.1038/s41467-021-25539-x

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.