Evidence map›Paper›PMID 41535812›Full record

ReviewRespiratory research2026

Targeted metabolism creates possibilities for lung cancer treatment in the precision tumor era.

Xing Huang, Huimin Shen, Chenglong Shao, Lei Wang, Xinying Zheng, Yu Wang, Lei Qiu, Shaoyan Zhang, Tong Zhang, Zhenhui Lu

Abstract readReview
In one paragraph

Review in Respiratory research, 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

10 authors.

Xing Huang *Institute of Respiratory Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Huimin Shen *Institute of Respiratory Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Chenglong Shao *Institute of Respiratory Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lei WangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xinying ZhengInstitute of Respiratory Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yu WangInstitute of Respiratory Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lei QiuInstitute of Respiratory Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shaoyan ZhangInstitute of Respiratory Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Tong ZhangCollege of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China. zhangtongshutcm@hotmail.com.
Zhenhui LuInstitute of Respiratory Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. Dr_luzh@shutcm.edu.cn.

Funding

National Dragon Medical Practitioner Nursery Program of Shanghai Science and Technology Plan Project 23YF1447800Project of Shanghai Municipal Health Commission 2022XD027Shanghai Excellent Academic Leader 22XD1423500Traditional Chinese Medicine Innovation Team, Shanghai Municipal Health Commission 2022CX010
6 · The paper itself

Abstract

Lung cancer has emerged as the primary cause of cancer-related deaths worldwide, and advances in its treatment are critically needed. Despite significant breakthroughs in molecular targeted therapy and immunotherapy in lung cancer, the overall prognosis for patients remains poor. In the era of precision medicine, the pivotal role of tumor metabolic reprogramming in the onset and progression of lung cancer has become increasingly evident. Preclinical studies have demonstrated the potential efficacy of targeting tumor metabolic pathways, thereby suggesting new avenues for lung cancer treatment research. A comprehensive understanding of the regulatory mechanisms underlying these metabolic pathways could hold potential for developing innovative therapies and improving patient outcomes in the future. This review summarizes the latest research in glucose metabolism, lipid metabolism, protein metabolism, and nucleotide metabolism in lung cancer. It further examines the role these metabolic pathways play in lung cancer pathogenesis and explores their potential as therapeutic targets.

Indexed as

Antineoplastic AgentsLung NeoplasmsMolecular Targeted TherapyPrecision MedicineAnimalsHumansLipid MetabolismMetabolic ReprogrammingTumor MicroenvironmentAntineoplastic AgentsLung cancerMetabolic reprogrammingPrecision medicineTargeted therapyTumor microenvironment

Identifiers

PMID41535812
PMCPMC12892521

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.