Evidence map›Paper›PMID 40257698›Full record

ArticleDiscover oncology2025

Mapping the landscape of metabolic reprogramming research in lung cancer: a bibliometric and visualized analysis.

Song Han, Jialu Li, Feng Jiang, Qingtong Shi

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Song Han *Department of Thoracic Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou, 225001, China.
Jialu Li *Department of Medical College, Yangzhou University, Yangzhou, China.
Feng JiangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China. dxyjiang@163.com.
Qingtong ShiDepartment of Thoracic Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou, 225001, China. shiqingtong77@126.com.

Funding

Yangzhou Basic Research Program (Joint Special) Health and Health Category 2024-2-07Yangzhou Science and Technology Research Project YZ2023126
6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related deaths worldwide, with a poor prognosis despite advancements in diagnosis and treatment. Metabolic reprogramming, a key feature of cancer, allows tumor cells to survive and grow under harsh conditions, making it a crucial area of study. This study provides a comprehensive analysis of global trends, influential studies, and key developments in this field.

methodsWe conducted a bibliometric analysis using the Web of Science Core Collection (WoSCC) database from 2004 to 2024. Publications related to metabolic reprogramming and lung cancer were retrieved and analyzed using VOSviewer and CiteSpace to examine publication trends, research collaborations, keyword co-occurrence, and citation networks.

resultsA total of 1078 publications were analyzed, with research output increasing significantly after 2015. China and the United States were the leading contributors, engaging in extensive international collaborations. Pioneering studies by researchers such as Ralph J. DeBerardinis and Otto Warburg underscored the importance of altered metabolism in lung cancer. Key emerging topics included the role of cancer stem cells, changes in tumor metabolism, and new treatment approaches targeting metabolic pathways. The integration of laboratory research with clinical applications, including novel drugs and immunotherapies, demonstrated promising directions for future treatments.

conclusionsThis bibliometric analysis maps the research landscape of metabolic reprogramming in lung cancer, identifying influential contributors and emerging research themes. Future studies should explore advanced technologies like single-cell analysis and investigate how metabolic changes are regulated at the molecular level. A deeper understanding of these processes could lead to innovative treatment strategies and better patient outcomes.

Indexed as

Bibliometric analysisLung cancerMetabolic reprogrammingResearch trendsScientometrics

Identifiers

PMID40257698
PMCPMC12011670

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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.