Evidence map›Paper›PMID 41836415›Full record

ReviewFrontiers in immunology2026

Tumor-infiltrating lymphocyte therapy in triple-negative breast cancer: from mechanistic exploration to clinical translation.

Yongxi Wang, Zhe Zhang, Zhuo Chen, Xiaoyun Xie, Fang Wang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yongxi WangDepartment of Breast Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhe ZhangDepartment of Breast Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhuo ChenDepartment of Breast Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoyun XieDepartment of Breast Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Fang WangDepartment of Breast Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a common malignancy among women, with triple-negative breast cancer (TNBC) representing a subtype with poor prognosis. Due to the lack of expression of targetable receptors, traditional hormone therapy and HER2-targeted therapy are ineffective against TNBC. Moreover, TNBC typically exhibits more aggressive biological behavior, with a high propensity for recurrence and metastasis, further exacerbating its poor prognosis. While chemotherapy remains the primary treatment modality, its efficacy is limited, and patients readily develop resistance. Consequently, exploring novel therapeutic strategies and targets is crucial for improving the prognosis of patients with TNBC. Tumor-infiltrating lymphocytes (TILs) are promising prognostic and predictive biomarkers of TNBC. Multiple studies have demonstrated that a higher number of TILs in early-stage TNBC is correlated with favorable outcomes. Furthermore, clinical trials have demonstrated that TIL therapy is effective in solid tumors. This review outlines the current understanding of the TIL role in TNBC, elucidates the mechanisms and clinical efficacy of TIL therapy, and discusses future research directions and challenges for TILs.

Indexed as

ImmunotherapyImmunotherapy, AdoptiveLymphocytes, Tumor-InfiltratingTriple Negative Breast NeoplasmsAnimalsBiomarkers, TumorFemaleHumansPrognosisBiomarkers, Tumorimmunotherapypredictive biomarkersTILsTIL therapyTNBC

Identifiers

PMID41836415
PMCPMC12982332

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.