Evidence map›Paper›PMID 37335087›Full record

ArticleAging2023

Dissecting the alternation landscape of mitochondrial metabolism-related genes in lung adenocarcinoma and their latent mechanisms.

Xing Jin, Di Liu, Demiao Kong, Xiaojiang Zhou, Liken Zheng, Chuan Xu

Abstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Xing JinDepartment of Thoracic Surgery, Guizhou Provincial People’s Hospital, Guiyang, Guizhou, China.
Di LiuDepartment of Thoracic Surgery, Guizhou Provincial People’s Hospital, Guiyang, Guizhou, China.
Demiao KongDepartment of Thoracic Surgery, Guizhou Provincial People’s Hospital, Guiyang, Guizhou, China.
Xiaojiang ZhouDepartment of Thoracic Surgery, Guizhou Provincial People’s Hospital, Guiyang, Guizhou, China.
Liken ZhengGenecast Biotechnology, Wuxi, Jiangsu Province, China.
Chuan XuDepartment of Thoracic Surgery, Guizhou Provincial People’s Hospital, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer with high incidence and unsatisfactory prognosis. The majority of LUAD patients eventually succumb to local and/or distinct metastatic recurrence. Genomic research of LUAD has broadened our understanding of this disease's biology and improved target therapies. However, the alternation landscape and characteristics of mitochondrial metabolism-related genes (MMRGs) in LUAD progression remain poorly understood. We performed a comprehensive analysis to identify the function and mechanism of MMRGs in LUAD based on the TCGA and GEO databases, which might offer therapeutic values for clinical researchers. Then, we figured out three hub prognosis-associated MMRGs (also termed as PMMRGs: ACOT11, ALDH2, and TXNRD1) that were engaged in the evolution of LUAD. To investigate the correlation between clinicopathological characteristics and MMRGs, we divided LUAD samples into two clusters (C1 and C2) based on key MMRGs. In addition, important pathways and the immune infiltration landscape affected by LUAD clusters were also delineated. Further, we nominated potential regulatory mechanisms underlying the MMRGs in LUAD development and progression. In conclusion, our integrative analysis enables a more comprehensive understanding of the mutation landscape of MMRGs in LUAD and provides an opportunity for more precise treatment.

Indexed as

AdenocarcinomaAdenocarcinoma of LungLung NeoplasmsAldehyde Dehydrogenase, MitochondrialDatabases, FactualHumansPrognosisAldehyde Dehydrogenase, MitochondrialALDH2 protein, humanlung adenocarcinomamechanismmitochondrial metabolism-related genesNSCLCprognosis

Identifiers

PMID37335087
PMCPMC10333067

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Registered trials

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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.