Evidence map›Paper›PMID 40923294›Full record

ArticleCancer medicine2025

A Novel Approach for Cisplatin-Resistant Esophageal Squamous Cell Carcinoma via Amino Acid Transporter LAT1 Inhibition.

Takeru Mozumi, Narumi Harada-Shoji, Yohei Ozawa, Yuto Yamazaki, Ryoyu Niikuni, Kentaro Imai, Yusuke Taniyama, Chiaki Sato, Hiroshi Okamoto, Hirotaka Ishida and 7 more

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

17 authors.

Takeru MozumiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Narumi Harada-ShojiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID https://orcid.org/0000-0002-7001-0541
Yohei OzawaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Yuto YamazakiDepartment of Pathology, Tohoku University Hospital, Sendai, Japan.
Ryoyu NiikuniDepartment of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kentaro ImaiResearch Center for Accelerator and Radioisotope Science, Tohoku University, Sendai, Japan.
Yusuke TaniyamaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Chiaki SatoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hiroshi OkamotoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hirotaka IshidaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Atsushi KunimitsuDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Iku Sasaki-HigashimotoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Chisa KobayashiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Shozo FurumotoResearch Center for Accelerator and Radioisotope Science, Tohoku University, Sendai, Japan.
Takaaki AbeDivision of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Takashi SuzukiDepartment of Pathology, Tohoku University Hospital, Sendai, Japan.
Takashi KameiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.

Funding

Japan Society for the Promotion of Science JP 24K11758
6 · The paper itself

Abstract

backgroundEsophageal squamous cell carcinoma (ESCC) represents an aggressive cancer type associated with poor prognosis, often treated with neoadjuvant chemotherapy (NAC) using cisplatin-based regimens. However, cisplatin resistance limits therapeutic efficacy, necessitating a deeper understanding of resistance mechanisms. L-type amino acid transporter 1 (LAT1) plays a crucial role in amino acid uptake and is linked to cancer cell survival through activation of the mammalian target of rapamycin (mTOR) pathway. The involvement of LAT1 in cisplatin resistance in ESCC remains unclear.

methodsLAT1 expression in ESCC patient samples post-NAC was evaluated by immunohistochemistry, and its association with clinicopathological factors and survival outcomes was analyzed. ESCC cell lines with varying cisplatin sensitivities were assessed for LAT1 expression using western blotting. Amino acid metabolism was examined via radiotracer uptake of

resultsHigh LAT1 expression was significantly associated with larger tumor size, lymph node metastasis, advanced pathological stage, and poor NAC response. Patients with high LAT1 expression exhibited shorter disease-free survival and overall survival. Cisplatin-resistant ESCC cells (KYSE520) showed elevated LAT1 expression, which further increased following cisplatin treatment. Radiotracer assays revealed that

conclusionLAT1 contributes to cisplatin resistance in ESCC by sustaining amino acid metabolism and promoting mTOR-dependent autophagy. Targeting LAT1 with JPH203 enhances cisplatin sensitivity, suggesting that LAT1 inhibition could be a promising therapeutic strategy for overcoming chemoresistance in ESCC.

Indexed as

Antineoplastic AgentsCisplatinDrug Resistance, NeoplasmEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaLarge Neutral Amino Acid-Transporter 1AgedCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedTOR Serine-Threonine KinasesAntineoplastic AgentsCisplatinLarge Neutral Amino Acid-Transporter 1MTOR protein, humanSLC7A5 protein, humanTOR Serine-Threonine Kinasescisplatin resistanceesophageal squamous cell carcinomaJPH203L‐type amino acid transporter 1neoadjuvant chemotherapy

Identifiers

PMID40923294
PMCPMC12418084

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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.