Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 285

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Single-cell analysis of pancreatic ductal adenocarcinoma identifies a novel fibroblast subtype associated with poor prognosis but better immunotherapy response

Open access
Wang, Yu, Liang, Yiyi, Xu, Haiyan, Zhang, Xiao, Mao, Tiebo, Cui, Jiujie, Yao, Jiayu, Wang, Yongchao, Jiao, Feng, Xiao, Xiuying, Hu, Jiong, Xia, Qing, Zhang, Xiaofei, Wang, Xujun, Sun, Yongwei, Fu, Deliang, Shen, Lei, Xu, Xiaojiang, Xue, Jing, Wang, Liwei·2021·Cell Discovery
DOI 10.1038/s41421-021-00271-4
Open this paper in CoChat — free account

Abstract

The current pathological and molecular classification of pancreatic ductal adenocarcinoma (PDAC) provides limited guidance for treatment options, especially for immunotherapy. Cancer-associated fibroblasts (CAFs) are major players of desmoplastic stroma in PDAC, modulating tumor progression and therapeutic response. Using single-cell RNA sequencing, we explored the intertumoral heterogeneity among PDAC patients with different degrees of desmoplasia. We found substantial intertumoral heterogeneity in CAFs, ductal cancer cells, and immune cells between the extremely dense and loose types of PDACs (dense-type, high desmoplasia; loose-type, low desmoplasia). Notably, no difference in CAF abundance was detected, but a novel subtype of CAFs with a highly activated metabolic state (meCAFs) was found in loose-type PDAC compared to dense-type PDAC. MeCAFs had highly active glycolysis, whereas the corresponding cancer cells used oxidative phosphorylation as a major metabolic mode rather than glycolysis. We found that the proportion and activity of immune cells were much higher in loose-type PDAC than in dense-type PDAC. Then, the clinical significance of the CAF subtypes was further validated in our PDAC cohort and a public database. PDAC patients with abundant meCAFs had a higher risk of metastasis and a poor prognosis but showed a dramatically better response to immunotherapy (64.71% objective response rate, one complete response). We characterized the intertumoral heterogeneity of cellular components, immune activity, and metabolic status between dense- and loose-type PDACs and identified meCAFs as a novel CAF subtype critical for PDAC progression and the susceptibility to immunotherapy.

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/s41421-021-00271-4

Cites

64 of 64 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 64 references

Cited by

See all 285

Metadata

Authors
Wang, Y., Liang, Y., Xu, H., Zhang, X., Mao, T., Cui, J., Yao, J., Wang, Y., Jiao, F., Xiao, X., Hu, J., Xia, Q., Zhang, X., Wang, X., Sun, Y., Fu, D., Shen, L., Xu, X., Xue, J., & Wang, L.
Venue
Cell Discovery
Publisher
Springer Science and Business Media LLC
Published
2021-05-25
Volume
7
Issue
1
Pages
36-36
ISSN
2056-5968 (ISSN-L)
DOI
10.1038/s41421-021-00271-4
OpenAlex
W3165395145
Cited by
285
References
64
FWCI
16.31
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: Single-cell analysis of pancreatic ductal adenocarcinoma identifies a novel fibroblast subtype associated with poor prognosis but better immunotherapy response. https://app.cochat.ai/papers/10.1038/s41421-021-00271-4
The paper
Wang, Y., Liang, Y., Xu, H., Zhang, X., Mao, T., Cui, J., Yao, J., Wang, Y., Jiao, F., Xiao, X., Hu, J., Xia, Q., Zhang, X., Wang, X., Sun, Y., Fu, D., Shen, L., Xu, X., Xue, J., & Wang, L. (2021). Single-cell analysis of pancreatic ductal adenocarcinoma identifies a novel fibroblast subtype associated with poor prognosis but better immunotherapy response. Cell Discovery. https://doi.org/10.1038/s41421-021-00271-4

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.