Evidence map›Paper›PMID 41716286›Full record

ReviewFrontiers in cell and developmental biology2026

Branched-chain amino acid transaminases as promising targets in tumor therapy.

Weiran Zhang, Jie Shen, Xuanyin Ding, Hele Liu, Xu Wang, Dan Feng

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 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

6 authors.

Weiran ZhangDepartment of Thoracic Oncology, Cancer Institute of Jiangsu University, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Jie ShenDepartment of Thoracic Oncology, Cancer Institute of Jiangsu University, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Xuanyin DingDepartment of Thoracic Oncology, Cancer Institute of Jiangsu University, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Hele LiuDepartment of Thoracic Oncology, Cancer Institute of Jiangsu University, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Xu WangDepartment of Thoracic Oncology, Cancer Institute of Jiangsu University, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Dan FengDepartment of Pharmacy, Affiliated Hospital of Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Branched-chain amino acid transaminases (BCATs), including BCAT1 and BCAT2, play pivotal roles in tumorigenesis and therapeutic resistance in various cancers. These enzymes regulate branched-chain amino acid (BCAA) metabolism and influence critical oncogenic pathways such as mTOR, PI3K/AKT, and Wnt/β-catenin signalling. Furthermore, BCATs contribute to metabolic reprogramming, epigenetic modifications, and immune evasion. Collectively, they promote tumor proliferation, invasion, and metastasis, thus making BCATs potential biomarkers and therapeutic targets. Recent studies highlight their aberrant expression in cancers including gastric cancer, pancreatic cancer, non-small cell lung cancer, leukaemia, gliomas, and breast cancer, where they contribute to resistance to chemotherapy, targeted therapy, and endocrine therapy. Strategies targeting BCATs, including enzyme inhibitors, dietary BCAA restriction, and combination therapies, have shown the potential to overcome drug resistance and improve treatment outcomes. This review synthesizes current knowledge on the mechanisms of BCATs in cancer progression and resistance, providing a foundation for future research and clinical applications.

Indexed as

biomarkerbranched-chain amino acid transaminasesdrug resistanceoncogenic pathwaytumor metabolism

Identifiers

PMID41716286
PMCPMC12913542

What OpenQuestion holds

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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.