Evidence map›Paper›PMID 34681633›Full record

ReviewInternational journal of molecular sciences2021

Organ Specificity and Heterogeneity of Cancer-Associated Fibroblasts in Colorectal Cancer.

Naoya Miyashita, Akira Saito

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 20 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

2 authors at 1 institution in 1 country.

Naoya MiyashitaDepartment of Respiratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0002-2464-5167
Akira SaitoDepartment of Respiratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo 113-0033, Japan.
The University of Tokyo · JP

Funding

Japan Society for the Promotion of Science 21K16111
6 · The paper itself

Abstract

Fibroblasts constitute a ubiquitous mesenchymal cell type and produce the extracellular matrix (ECM) of connective tissue, thereby providing the structural basis of various organs. Fibroblasts display differential transcriptional patterns unique to the organ of their origin and they can be activated by common stimuli such as transforming growth factor-β (TGF-β) and platelet-derived growth factor (PDGF) signaling. Cancer-associated fibroblasts (CAFs) reside in the cancer tissue and contribute to cancer progression by influencing cancer cell growth, invasion, angiogenesis and tumor immunity. CAFs impact on the tumor microenvironment by remodeling the ECM and secreting soluble factors such as chemokines and growth factors. Differential expression patterns of molecular markers suggest heterogeneous features of CAFs in terms of their function, pathogenic role and cellular origin. Recent studies elucidated the bimodal action of CAFs on cancer progression and suggest a subgroup of CAFs with tumor-suppressive effects. This review attempts to describe cellular features of colorectal CAFs with an emphasis on their heterogeneity and functional diversity.

Indexed as

Cancer-Associated FibroblastsColorectal NeoplasmsExtracellular MatrixHumansImmune Checkpoint InhibitorsOrgan SpecificityPlatelet-Derived Growth FactorSignal TransductionTransforming Growth Factor betaImmune Checkpoint InhibitorsPlatelet-Derived Growth FactorTransforming Growth Factor betacancer-associated fibroblastcolorectal cancerFOXL1PDGFTGF-β

Identifiers

PMID34681633
PMCPMC8540283
OpenAlexW3206895781

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.