Evidence map›Paper›PMID 41975649›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2026

[Advances in Lactate Metabolic Reprogramming in Non-small Cell Lung Cancer].

Jun Zhou, Liuling Ge, Jingting Jiang

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 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

3 authors.

Jun ZhouDepartment of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.
Liuling GeDepartment of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.
Jingting JiangDepartment of Tumor Biological Treatment,The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is characterized by high incidence and mortality, with a low five-year survival rate. Lactate metabolism plays a central role in the metabolic reprogramming of NSCLC. Beyond serving as the end-product of glycolysis, lactate accumulates in the tumor microenvironment (TME), contributing to acidification, and can also enter the tricarboxylic acid cycle to participate in energy metabolism. Moreover, the G protein-coupled receptor 81 (GPR81)/phosphoinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) signaling axis induces the expression of immune checkpoint molecules, such as programmed death-ligand 1 and cytotoxic T lymphocyte-associated protein 4 (CTLA-4), thereby suppressing the functions of T lymphocytes and natural killer cells and establishing an immunosuppressive microenvironment. Lactate further promotes epithelial-mesenchymal transition and tumor metastasis, and drives NSCLC chemoresistance and relapse via histone lactylation. Clinical studies indicate that enhanced lactate metabolism is associated with NSCLC progression and chemotherapy resistance, while targeting lactate metabolism in combination with immunotherapy exerts synergistic antitumor effects. Therefore, comprehensive inhibition of lactate metabolism together with enhancement of antitumor immunity may improve the efficacy of precision therapy in NSCLC.
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Indexed as

Carcinoma, Non-Small-Cell LungLactic AcidLung NeoplasmsAnimalsHumansMetabolic ReprogrammingTumor MicroenvironmentLactic AcidEpigeneticsLactate metabolismLung neoplasmsTumor microenvironment

Identifiers

PMID41975649
PMCPMC13078955

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.