Evidence map›Paper›PMID 37783930›Full record

ArticleJournal of cancer research and clinical oncology2023

Multi-omics analysis revealed the mitochondrial-targeted drug combination to suppress the development of lung cancer.

Chaoqun Li, Yanfei Zhang, Qing Xia, Bingjie Hao, Yifan Hong, Liduo Yue, Tiansheng Zheng, Ming Li, Lihong Fan

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. 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
1.0field-weighted citation impact, top 21% of its field
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, 4 citations in OpenAlex.

  1. Review
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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

9 authors at 3 institutions in 1 country.

Chaoqun LiDepartment of Integrated Traditional Chinese and Western Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Yanfei ZhangDepartment of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Qing XiaDepartment of Integrated Traditional Chinese and Western Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Bingjie HaoDepartment of Integrated Traditional Chinese and Western Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Yifan HongInstitute of Energy Metabolism and Health, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Liduo YueInstitute of Energy Metabolism and Health, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Tiansheng ZhengDepartment of Integrated Traditional Chinese and Western Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Ming LiDepartment of Integrated Traditional Chinese and Western Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China. mlid163@163.com.
Lihong FanDepartment of Integrated Traditional Chinese and Western Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China. 1300008@tongji.edu.cn.
Tongji University · CNShanghai Tenth People's Hospital · CNShanghai University of Sport · CN

Funding

International Cooperation Project of the Belt and Road No. 20400750600National Natural Science Foundation of China Nos. 31770131Shanghai Municipal Commission of Health and Family Plan 201840056
6 · The paper itself

Abstract

purposeThe incidence and mortality of lung cancer are continuously rising in recent years. Mitochondrial energy metabolism malfunction is found to be crucial in cancer proliferation and bioenergetic reprogramming, especially for lung cancer. In this study, we attempted to use mitochondrial-targeted drug therapy to change the energy metabolism pattern of cancer cells to inhibit the development of lung cancer, and investigated its mechanism of action and key targets through multi-omics studies.

methodsIn this study, we established the in vivo tumor mouse mode, treated mice with multiple mitochondrial-targeted drug combinations and DDP, severally. Then, we investigated the differences between the 7-drug group with the control group and the DDP treatment group by transcriptomics, proteomics and metabolomics to find the therapeutic targets.

resultsWe found that mitochondria-targeting drug cocktail therapy, especially the 7-drug regimen, effectively improved mitochondrial metabolism, changed energy supply patterns in lung cancer cells, significantly increased NK cells in tumor tissues, and decreased tumor markers in plasma. Multi-omics analysis informed that the combination of 7-drug could up-regulate mitochondrial oxidative phosphorylation, ATP synthesis and autophagy related genes, and down-regulate proliferation and immune-related genes compared with the control group. By further mapping the protein interaction network, we identified a key target for 7-drug therapy to reverse tumor metabolic reprogramming and validated it in metabolomics.

conclusionsMitochondrial-targeted drug cocktail therapy can effectively inhibit the occurrence and development of tumors, through the reprogramming of energy metabolism and the increase in immune cells in tumor tissues. Thus, we provide a novel approach for the treatment of lung cancer and present evidence-based clues for the combined use of targeted mitochondrial drugs.

Indexed as

Lung NeoplasmsAnimalsEnergy MetabolismMiceMitochondriaMultiomicsOxidative PhosphorylationCocktail therapyEnergy metabolismLung cancerMitochondriaMitochondria targeting drugOmics analysis

Identifiers

PMID37783930
PMCPMC11796939
OpenAlexW4387245084

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.