Evidence map›Paper›PMID 37746306›Full record

ReviewFrontiers in oncology2023

Cancer-associated fibroblasts in hematologic malignancies: elucidating roles and spotlighting therapeutic targets.

Ziyang Ding, Run Shi, Weikang Hu, Lei Tian, Rong Sun, Yang Wu, Xiaoyan Zhang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Current status and challenges of TCR-T cell therapy for AML/MDS.International journal of hematology · 2026
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  16. TME-Related Biomimetic Strategies Against Cancer.International journal of nanomedicine · 2024
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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

7 authors.

Ziyang DingThe Second Clinical School of Nanjing Medical University, Nanjing, China.
Run ShiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Weikang HuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lei TianPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Rong SunDepartment of Radiation Oncology, Jinling Hospital, Nanjing, China.
Yang WuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiaoyan ZhangDepartment of Hematology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematologic malignancies comprise a diverse range of blood, bone marrow, and organ-related disorders that present significant challenges due to drug resistance, relapse, and treatment failure. Cancer-associated fibroblasts (CAFs) represent a critical component of the tumor microenvironment (TME) and have recently emerged as potential therapeutic targets. In this comprehensive review, we summarize the latest findings on the roles of CAFs in various hematologic malignancies, including acute leukemia, multiple myeloma, chronic lymphocytic leukemia, myeloproliferative neoplasms, and lymphoma. We also explore their involvement in tumor progression, drug resistance, and the various signaling pathways implicated in their activation and function. While the underlying mechanisms and the existence of multiple CAF subtypes pose challenges, targeting CAFs and their associated pathways offers a promising avenue for the development of innovative treatments to improve patient outcomes in hematologic malignancies.

Indexed as

cancer associated fibroblast (CAF)chemoresistancecrosstalkhematologic malignanciestherapeutic target

Identifiers

PMID37746306
PMCPMC10511871

What OpenQuestion holds

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Registered trials

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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.