Evidence map›Paper›PMID 40332007›Full record

ArticleInternational journal of molecular sciences2025

Using Cancer-Associated Fibroblasts as a Shear-Wave Elastography Imaging Biomarker to Predict Anti-PD-1 Efficacy of Triple-Negative Breast Cancer.

Zhiming Zhang, Shuyu Liang, Dongdong Zheng, Shiyu Wang, Jin Zhou, Ziqi Wang, Yunxia Huang, Cai Chang, Yuanyuan Wang, Yi Guo and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Zhiming ZhangDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Shuyu LiangSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Dongdong ZhengDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Shiyu WangDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Jin ZhouDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Ziqi WangDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yunxia HuangDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Cai ChangDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yuanyuan WangSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Yi GuoSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Shichong ZhouDepartment of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai 200032, China.ORCID 0000-0003-1996-9041

Funding

National Natural Science Foundation of China 62371139National Natural Science Foundation of China 82071945National Natural Science Foundation of China 82227803National Natural Science Foundation of China 82227813National Natural Science Foundation of China 82302212National Natural Science Foundation of China 82311530049National Natural Science Foundation of China 82371978Science and Technology Commission of Shanghai Municipality 22ZR1404800Shanghai Anticancer Association EYAS PROJECT SACA-CY22C07
6 · The paper itself

Abstract

In the clinical setting, the efficacy of single-agent immune checkpoint inhibitors (ICIs) in triple-negative breast cancer (TNBC) remains suboptimal. Therefore, there is a pressing need to develop predictive biomarkers to identify non-responders. Considering that cancer-associated fibroblasts (CAFs) represent an integral component of the tumor microenvironment that affects the stiffness of solid tumors on shear-wave elastography (SWE) imaging, wound healing CAFs (WH CAFs) were identified in highly heterogeneous TNBC. This subtype highly expressed vitronectin (VTN) and constituted the majority of CAFs. Moreover, WH CAFs were negatively correlated with CD8

Indexed as

Biomarkers, TumorCancer-Associated FibroblastsElasticity Imaging TechniquesImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorTriple Negative Breast NeoplasmsAnimalsCell Line, TumorFemaleHumansMiceTumor MicroenvironmentBiomarkers, TumorImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 Receptorcancer-associated fibroblastdeep-learningimmune checkpoint inhibitionshear-wave elastographyTNBC

Identifiers

PMID40332007
PMCPMC12027048

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.