Evidence map›Paper›PMID 37749074›Full record

ArticleCell death discovery2023

Prognostic signature based on mitochondria quality control proteins for the prediction of lung adenocarcinoma patients survival.

Anna S Gorbunova, Alexey V Zamaraev, Maria A Yapryntseva, Olga V Kovaleva, Elena M Tchevkina, Maria V Turkina, Boris Zhivotovsky, Gelina S Kopeina

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Increasing autophagy activity suppressesAmerican journal of cancer research · 2026
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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

8 authors at 4 institutions in 3 countries.

Anna S Gorbunova *Faculty of Medicine, MV Lomonosov Moscow State University, 119991, Moscow, Russia.
Alexey V Zamaraev *Faculty of Medicine, MV Lomonosov Moscow State University, 119991, Moscow, Russia.
Maria A YapryntsevaFaculty of Medicine, MV Lomonosov Moscow State University, 119991, Moscow, Russia.
Olga V KovalevaDepartment of Oncogenes Regulation, NN Blokhin Medical Research Center of Oncology, 115478, Moscow, Russia.
Elena M TchevkinaDepartment of Oncogenes Regulation, NN Blokhin Medical Research Center of Oncology, 115478, Moscow, Russia.
Maria V TurkinaFaculty of Medicine and Heath Sciences, Department of Clinical and Experimental Medicine, Linköpings Universitet, 58185, Linkoping, Sweden.
Boris ZhivotovskyFaculty of Medicine, MV Lomonosov Moscow State University, 119991, Moscow, Russia. boris.zhivotovsky@ki.se.ORCID http://orcid.org/0000-0002-2238-3482
Gelina S KopeinaFaculty of Medicine, MV Lomonosov Moscow State University, 119991, Moscow, Russia. lirroster@gmail.com.ORCID http://orcid.org/0000-0002-7143-6923
Engelhardt Institute of Molecular Biology · RURussian Cancer Research Center NN Blokhin · RULinköping University · SELomonosov Moscow State University · RU

Funding

Cancerfonden (Swedish Cancer Society) 22 2013Radiumhemmets Forskningsfonder (Cancer Research Foundations of Radiumhemmet) 181301
6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer mortality worldwide. In recent years, the incidence of lung cancer subtype lung adenocarcinoma (LUAD) has steadily increased. Mitochondria, as a pivotal site of cell bioenergetics, metabolism, cell signaling, and cell death, are often dysregulated in lung cancer cells. Mitochondria maintenance and integrity depend on mitochondrial quality control proteins (MQCPs). During lung cancer progression, the levels of MQCPs could change and promote cancer cell adaptation to the microenvironment and stresses. Here, univariate and multivariate proportional Cox regression analyses were applied to develop a signature based on the level of MQCPs (dimeric form of BNIP3, DRP1, and SIRT3) in tumorous and non-tumorous samples of 80 patients with LUAD. The MQCP signature could be used to separate the patients with LUAD into high- and low-risk groups. Survival analysis indicated that patients in the high-risk group had dramatically shorter overall survival compared with the low-risk patients. Moreover, a nomogram combining clinicopathologic features and the MQCP signature was constructed and validated to predict 1-, 3-, and 5-year overall survival of the patients. Thus, this study presents a novel signature based on MQCPs as a reliable prognostic tool to predict overall survival for patients with LUAD.

Identifiers

PMID37749074
PMCPMC10519931
OpenAlexW4387010088

What OpenQuestion holds

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LicenceCC BY
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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.