Evidence map›Paper›PMID 37767092›Full record

ArticleFrontiers in immunology2023

Regulatory T cells are associated with the tumor immune microenvironment and immunotherapy response in triple-negative breast cancer.

Pengfei Huang, Xinyue Zhou, Minying Zheng, Yongjun Yu, Gongsheng Jin, Shiwu Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
13.1field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 57 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

6 authors at 3 institutions in 1 country.

Pengfei HuangDepartment of Surgical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.
Xinyue ZhouGraduate School, Tianjin Medical University, Tianjin, China.
Minying ZhengDepartment of Pathology, Tianjin Union Medical Center, Tianjin, China.
Yongjun YuDepartment of Pathology, Tianjin Union Medical Center, Tianjin, China.
Gongsheng JinDepartment of Surgical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.
Shiwu ZhangDepartment of Pathology, Tianjin Union Medical Center, Tianjin, China.
Tianjin People's Hospital · CNFirst Affiliated Hospital of Bengbu Medical College · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer with a high risk of distant metastasis, an extremely poor prognosis, and a high risk of death. Regulatory T cells (Tregs) contribute to the formation of a tumor immunosuppressive microenvironment, which plays an important role in the progression and treatment resistance of TNBC. Methods: A public single-cell sequencing dataset demonstrated increased infiltration of Tregs in TNBC tissues relative to normal breast tissue. Weighted gene co-expression network analysis was used to identify Treg infiltration-related modules for METABRIC TNBC samples. Subsequently, we obtained two Treg infiltration-associated clusters of TNBC by applying consensus clustering and further constructed a prognostic model based on this Treg infiltration-associated gene module. The ability of the selected gene in the prognostic model, thymidine kinase-1 (TK1), to promote the progression of TNBC was evaluated Results: We concluded that two Treg infiltration-associated clusters had different prognoses and sensitivities to drugs commonly used in breast cancer treatment, and multi-omics analysis revealed that the two clusters had different copy number variations of key tumor progression genes. The 7-gene risk score based on TNBC Treg infiltration was a reliable prognostic indicator both in the training and validation cohorts. Moreover, patients with TNBC with high Treg infiltration-related scores lacked the activation of immune activation pathways and exhibited resistance to anti-PD1 immunotherapy. Knocking down TK1 led to impaired proliferation, migration, and invasion of TNBC cells Discussion: We established a prognostic model related to Treg infiltration and this model can be used to establish a clinically relevant classification of TNBC progression. Additionally, our work revealed the underestimable potential of TK1 as a tumor biomarker and immunotherapeutic target.

Indexed as

Triple Negative Breast NeoplasmsBreastDNA Copy Number VariationsHumansImmunotherapyT-Lymphocytes, RegulatoryTumor Microenvironmentprognostic signatureregulatory T cellssingle-cell RNA-sequencingtriple-negative breast cancertumor microenvironment

Identifiers

PMID37767092
PMCPMC10521732
OpenAlexW4386723675

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.