Evidence map›Paper›PMID 38216949›Full record

ArticleCell communication and signaling : CCS2024

The immune checkpoint TIGIT/CD155 promotes the exhaustion of CD8 + T cells in TNBC through glucose metabolic reprogramming mediated by PI3K/AKT/mTOR signaling.

Mingyao Huang, Xiaoqin Yu, Qing Wang, Zirong Jiang, Xiaofen Li, Wei Chen, Chuangui Song

Open access · goldAbstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
11.1field-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

51 citing papers in PubMed, 46 citations in OpenAlex.

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  3. Artemisinin liposomes regulates breast cancer metastasis and apoptosis through TIGIT/CD155 signal axis.Apoptosis : an international journal on programmed cell death · 2026
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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 at 4 institutions in 1 country.

Mingyao Huang *Department of Breast Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350011, China.
Xiaoqin Yu *Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
Qing WangDepartment of Breast Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350011, China.
Zirong JiangDepartment of Thyroid and Breast Surgery, Ningde Municipal Hospital of Ningde Normal University, Ningde, 352100, China.
Xiaofen LiDepartment of Breast Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350011, China.
Wei ChenDepartment of Oncology Surgery, Fujian Provincial Hospital, Fuzhou, 350001, China.
Chuangui SongDepartment of Breast Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350011, China. Songcg1971@outlook.com.
Fujian Medical University · CNFujian Provincial Hospital · CNNingde Normal University · CNUnion Hospital · CN

Funding

Joint Funds for the innovation of science and Technology, Fujian province NO. 2021Y9084Startup Fund for scientific research, Fujian Medical university NO. 2022QH2020
6 · The paper itself

Abstract

objectiveThe CD155/TIGIT axis has attracted considerable interest as an emerging immune checkpoint with potential applications in cancer immunotherapy. Our research focused on investigating the role of CD155/TIGIT checkpoints in the progression of triple-negative breast cancer (TNBC).

methodsWe evaluated CD155 and TIGIT expression in TNBC tissues using both immunohistochemistry (IHC) and gene expression profiling. Our experiments, both in vivo and in vitro, provided evidence that inhibiting the CD155/TIGIT pathway reinstates the ability of CD8 + T cells to generate cytokines. To assess the impact of CD155/TIGIT signaling blockade, we utilized Glucose Assay Kits and Lactate Assay Kits to measure alterations in glucose and lactate levels within CD8 + T cells. We employed western blotting (WB) to investigate alterations in glycolytic-related proteins within the PI3K/AKT/mTOR pathways following the inhibition of CD155/TIGIT signaling.

resultsCD155 exhibits heightened expression within TNBC tissues and exhibits a negative correlation with the extent of infiltrating CD8 + T cells. Furthermore, patients with TNBC demonstrate elevated levels of TIGIT expression. Our findings indicate that the interaction between CD155 and TIGIT disrupts the glucose metabolism of CD8 + T cells by suppressing the activation of the PI3K/AKT/mTOR signaling pathway, ultimately leading to the reduced production of cytokines by CD8 + T cells. Both in vivo and in vitro experiments have conclusively demonstrated that the inhibition of CD155/TIGIT interaction reinstates the capacity of CD8 + T cells to generate cytokines. Moreover, in vivo administration of the blocking antibody against TIGIT not only inhibits tumor growth but also augments the functionality of CD8 + T lymphocytes.

conclusionsOur research findings strongly suggest that CD155/TIGIT represents a promising therapeutic target for treating TNBC.

Indexed as

Triple Negative Breast NeoplasmsCD8-Positive T-LymphocytesCytokinesGlucoseHumansLactatesMetabolic ReprogrammingPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktReceptors, ImmunologicReceptors, VirusSignal TransductionTOR Serine-Threonine KinasesCytokinesGlucoseLactatesMTOR protein, humanPhosphatidylinositol 3-Kinasespoliovirus receptorProto-Oncogene Proteins c-aktReceptors, ImmunologicReceptors, VirusTIGIT protein, humanTOR Serine-Threonine KinasesCD155/TIGITCD8 + T cellsImmune checkpointImmunotherapyTNBC

Identifiers

PMID38216949
PMCPMC10785424
OpenAlexW4390791159

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.