Evidence map›Paper›PMID 37239416›Full record

ArticleGenes2023

Developing CuS for Predicting Aggressiveness and Prognosis in Lung Adenocarcinoma.

Honghao Liu, Haijun Che, Mengyan Zhang, Jinyue Lv, Chengjie Pu, Jiawei Wu, Yan Zhang, Yue Gu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2023. 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
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

8 authors at 3 institutions in 2 countries.

Honghao LiuComputational Biology Research Center, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-7722-2547
Haijun CheCollege of Pharmacy, Chengdu Airport Campus, Southwest Minzu University, Chengdu 610041, China.
Mengyan ZhangComputational Biology Research Center, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Jinyue LvComputational Biology Research Center, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Chengjie PuComputational Biology Research Center, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Jiawei WuState Key Laboratory of Agrobiotechnology, School of Life Science, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0009-0008-3139-8273
Yan ZhangComputational Biology Research Center, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Yue GuComputational Biology Research Center, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Harbin Institute of Technology · CNChinese University of Hong Kong · HKSouthwest Minzu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cuproptosis is a newfound cell death form that depends on copper (Cu) ionophores to transport Cu into cancer cells. Studies on the relationship have covered most common cancer types and analyzed the links between cuproptosis-related genes (CRGs) and various aspects of tumor characteristics. In this study, we evaluated the role of cuproptosis in lung adenocarcinoma (LUAD) and constructed the cuproptosis-related score (CuS) to predict aggressiveness and prognosis in LUAD, so as to achieve precise treatment for patients. CuS had a better predictive performance than cuproptosis genes, possibly due to the synergy of SLC family genes, and patients with a high CuS had a poor prognosis. Functional enrichment analysis revealed the correlation between CuS and immune and mitochondrial pathways in multiple datasets. Furthermore, we predicted six potential drugs targeting high-CuS patients, including AZD3759, which is a targeted drug for LUAD. In conclusion, cuproptosis is involved in LUAD aggressiveness, and CuS can accurately predict the prognosis of patients. These findings provide a basis for precise treatment of patients with high CuS in LUAD.

Indexed as

Adenocarcinoma of LungLung NeoplasmsCell DeathHumansPrognosiscuproptosislung adenocarcinomapotential drugs targetprognosis markersingle cell expression

Identifiers

PMID37239416
PMCPMC10218358
OpenAlexW4378515034

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.