Evidence map›Paper›PMID 38059408›Full record

ArticleCancer medicine2023

Components of the tumor immune microenvironment based on m-IHC correlate with prognosis and subtype of triple-negative breast cancer.

Luyi Lin, Haiming Li, Xin Wang, Zezhou Wang, Guanhua Su, Jiayin Zhou, Shiyun Sun, Xiaowen Ma, Yan Chen, Chao You and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 4 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

11 authors at 2 institutions in 2 countries.

Luyi LinDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Haiming LiDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xin WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zezhou WangDepartment of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.
Guanhua SuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Jiayin ZhouDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shiyun SunDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaowen MaDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yan ChenDivision of Cancer and Stem Cell, School of Medicine at University of Nottingham, Nottingham, UK.
Chao YouDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yajia GuDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID 0000-0001-5831-5214
Shanghai Medical College of Fudan University · CNUniversity of Nottingham · GB

Funding

Natural Science Foundation of Shanghai 22ZR1412500Shanghai Anticancer Association SOAR PROJECT SACA-AX202109The National Natural Science Foundation of China 82071878The National Natural Science Foundation of China 82271940The National Natural Science Foundation of China 82271957Wu Jieping Medical Foundation 320.6750.2021-06-37
6 · The paper itself

Abstract

BACKGROUND AND

aimThe spatial distribution and interactions of cells in the tumor immune microenvironment (TIME) might be related to the different responses of triple-negative breast cancer (TNBC) to immunomodulators. The potential of multiplex IHC (m-IHC) in evaluating the TIME has been reported, but the efficacy is insufficient. We aimed to research whether m-IHC results could be used to reflect the TIME, and thus to predict prognosis and complement the TNBC subtyping system.

methodsThe clinical, imaging, and prognosis data for 86 TNBC patients were retrospectively reviewed. CD3, CD4, CD8, Foxp3, PD-L1, and Pan-CK markers were stained by m-IHC. Particular cell spatial distributions and interactions in the TIME were evaluated with the HALO multispectral analysis platform. Then, we calculated the prognostic value of components of the TIME and their correlations with TNBC transcriptomic subtypes and MRI radiomic features reflecting TNBC subtypes.

resultsThe components of the TIME score were established by m-IHC and demonstrated positive prognostic value for TNBC (p = 0.0047, 0.039, <0.0001 for DMFS, RFS, and OS). The score was calculated from several indicators, including Treg% in the tumor core (TC) or stromal area (SA), PD-L1

conclusionWe demonstrated that the m-IHC-based quantitative score and indicators related to the spatial distribution and interactions of cells in the TIME can aid in the accurate diagnosis of TNBC in terms of prognosis and classification.

Indexed as

Triple Negative Breast NeoplasmsB7-H1 AntigenBiomarkers, TumorHumansPrognosisRetrospective StudiesTumor MicroenvironmentB7-H1 AntigenBiomarkers, Tumormultiplex IHCprognosissubtypetriple-negative breast cancertumor immune microenvironment

Identifiers

PMID38059408
PMCPMC10757132
OpenAlexW4389452764

What OpenQuestion holds

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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.