Evidence map›Paper›PMID 32605311›Full record

ArticleCancers2020

Index of Cancer-Associated Fibroblasts Is Superior to the Epithelial-Mesenchymal Transition Score in Prognosis Prediction.

Ying-Chieh Ko, Ting-Yu Lai, Shu-Ching Hsu, Fu-Hui Wang, Sheng-Yao Su, Yu-Lian Chen, Min-Lung Tsai, Chung-Chun Wu, Jenn-Ren Hsiao, Jang-Yang Chang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 2 countries.

Ying-Chieh KoNational Institute of Cancer Research, National Health Research Institutes, Miaoli County 35053, Taiwan.
Ting-Yu LaiInstitute of Bioinformatics and Structural Biology, National Tsing-Hua University, Hsinchu 30013, Taiwan.
Shu-Ching HsuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli County 35053, Taiwan.
Fu-Hui WangNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli County 35053, Taiwan.
Sheng-Yao SuInstitute of Information Science, Academia Sinica, Taipei 11529, Taiwan.
Yu-Lian ChenNational Institute of Cancer Research, National Health Research Institutes, Miaoli County 35053, Taiwan.
Min-Lung TsaiNational Institute of Cancer Research, National Health Research Institutes, Miaoli County 35053, Taiwan.
Chung-Chun WuNational Institute of Cancer Research, National Health Research Institutes, Miaoli County 35053, Taiwan.
Jenn-Ren HsiaoDepartment of Otolaryngology, Head and Neck Collaborative Oncology Group, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan.
Jang-Yang ChangNational Institute of Cancer Research, National Health Research Institutes, Miaoli County 35053, Taiwan.
Yi-Mi WuMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
Dan R RobinsonMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
Chung-Yen LinInstitute of Information Science, Academia Sinica, Taipei 11529, Taiwan.
Su-Fang LinNational Institute of Cancer Research, National Health Research Institutes, Miaoli County 35053, Taiwan.
National Health Research Institutes · TWInstitute of Information Science, Academia Sinica · TWUniversity of Michigan · USKaohsiung Medical University · TWNational Cheng Kung University Hospital · TWNational Tsing Hua University · TW

Funding

Ministry of Science and Technology, Taiwan 107-2314-B-400-029Ministry of Science and Technology, Taiwan 108-2320-B-400-019National Health Research Institutes CA-109-PP-05
6 · The paper itself

Abstract

In many solid tumors, tissue of the mesenchymal subtype is frequently associated with epithelial-mesenchymal transition (EMT), strong stromal infiltration, and poor prognosis. Emerging evidence from tumor ecosystem studies has revealed that the two main components of tumor stroma, namely, infiltrated immune cells and cancer-associated fibroblasts (CAFs), also express certain typical EMT genes and are not distinguishable from intrinsic tumor EMT, where bulk tissue is concerned. Transcriptomic analysis of xenograft tissues provides a unique advantage in dissecting genes of tumor (human) or stroma (murine) origins. By transcriptomic analysis of xenograft tissues, we found that oral squamous cell carcinoma (OSCC) tumor cells with a high EMT score, the computed mesenchymal likelihood based on the expression signature of canonical EMT markers, are associated with elevated stromal contents featured with fibronectin 1 (Fn1) and transforming growth factor-β (Tgfβ) axis gene expression. In conjugation with meta-analysis of these genes in clinical OSCC datasets, we further extracted a four-gene index, comprising FN1, TGFB2, TGFBR2, and TGFBI, as an indicator of CAF abundance. The CAF index is more powerful than the EMT score in predicting survival outcomes, not only for oral cancer but also for the cancer genome atlas (TCGA) pan-cancer cohort comprising 9356 patients from 32 cancer subtypes. Collectively, our results suggest that a further distinction and integration of the EMT score with the CAF index will enhance prognosis prediction, thus paving the way for curative medicine in clinical oncology.

Indexed as

cancer-associated fibroblastsepithelial–mesenchymal transitionoral cancerprognosis predictiontumor stroma

Identifiers

PMID32605311
PMCPMC7408083
OpenAlexW3037112533

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.