Weighted Gene Networks Derived from Multi-Omics Reveal Core Cancer Genes in Lung Cancer.

Qingcai He, Zhilong Mi, Ziqiao Yin, Zhiming Zheng, Binghui Guo

Abstract read

In one paragraph

Article in Biology, 2025. 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

–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

1 citing paper in PubMed.

Pathway potency in methylation altered network reveals lung cancer branching evolution and hallmarks.iScience · 2026
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

5 authors.

Qingcai HeSchool of Mathematical Sciences, Beihang University, Beijing 100191, China.ORCID 0000-0002-0198-9071

Zhilong MiLMIB and SKLCCSE, Beihang University, Beijing 100191, China.ORCID 0000-0002-7811-7204

Ziqiao YinLMIB and SKLCCSE, Beihang University, Beijing 100191, China.ORCID 0000-0003-4340-5414

Zhiming ZhengLMIB and SKLCCSE, Beihang University, Beijing 100191, China.

Binghui GuoLMIB and SKLCCSE, Beihang University, Beijing 100191, China.

Funding

National Science and Technology Major Project 2022ZD0117802

6 · The paper itself

Abstract

Lung cancer remains the leading cause of cancer-related deaths worldwide, driven by its complexity and the heterogeneity of its subtypes, which influence pathogenesis, tumor microenvironment, and genetic alterations. We developed a novel weighted gene regulatory network reconstruction method based on maximum entropy and Markov chain entropy principles, which integrates gene expression and DNA methylation data to generate biologically informed networks. Applied to LUAD and LUSC datasets, we define a network methylation index to determine whether gene methylation acts as oncogenic or tumor-suppressive. By revealing a stable core set of pathogenic genes, we identify not only genes with significant expression changes, such as

Indexed as

DNA methylationmarkov chain entropymaximum entropymulti-omicsweighted gene network

Identifiers

PMID40136480

DOI10.3390/biology14030223

PMCPMC11939803

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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.