Evidence map›Paper›PMID 39794467›Full record

ReviewCancer gene therapy2025

Exploring metabolic reprogramming in esophageal cancer: the role of key enzymes in glucose, amino acid, and nucleotide pathways and targeted therapies.

Xue-Man Dong, Lin Chen, Yu-Xin Xu, Pu Wu, Tian Xie, Zhao-Qian Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer gene therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Xue-Man DongXiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.ORCID 0009-0003-9781-3859
Lin ChenSchool of Pharmacy, Hangzhou Normal University, Hangzhou, China.
Yu-Xin XuSchool of Pharmacy, Hangzhou Normal University, Hangzhou, China.
Pu WuXiangya School of Pharmaceutical Sciences, Central South University, Changsha, China.
Tian XieSchool of Pharmacy, Hangzhou Normal University, Hangzhou, China. xbs@hznu.edu.cn.
Zhao-Qian LiuXiangya School of Pharmaceutical Sciences, Central South University, Changsha, China. zqliu@csu.edu.cn.

Funding

Natural Science Foundation of Hunan Province (Hunan Provincial Natural Science Foundation) 2024JJ6553
6 · The paper itself

Abstract

Esophageal cancer (EC) is one of the most common malignancies worldwide with the character of poor prognosis and high mortality. Despite significant advancements have been achieved in elucidating the molecular mechanisms of EC, for example, in the discovery of new biomarkers and metabolic pathways, effective treatment options for patients with advanced EC are still limited. Metabolic heterogeneity in EC is a critical factor contributing to poor clinical outcomes. This heterogeneity arises from the complex interplay between the tumor microenvironment and genetic factors of tumor cells, which drives significant metabolic alterations in EC, a process known as metabolic reprogramming. Understanding the mechanisms of metabolic reprogramming is essential for developing new antitumor therapies and improving treatment outcomes. Targeting the distinct metabolic alterations in EC could enable more precise and effective therapies. In this review, we explore the complex metabolic changes in glucose, amino acid, and nucleotide metabolism during the progression of EC, and how these changes drive unique nutritional demands in cancer cells. We also evaluate potential therapies targeting key metabolic enzymes and their clinical applicability. Our work will contribute to enhancing knowledge of metabolic reprogramming in EC and provide new insights and approaches for the clinical treatment of EC.

Indexed as

Amino AcidsEsophageal NeoplasmsGlucoseNucleotidesAnimalsHumansMetabolic Networks and PathwaysMetabolic ReprogrammingMolecular Targeted TherapyTumor MicroenvironmentAmino AcidsGlucoseNucleotides

Identifiers

What OpenQuestion holds

Textmetadata
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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.