Evidence map›Paper›PMID 31166966›Full record

ArticlePloS one2019

Identification of key modules and hub genes for small-cell lung carcinoma and large-cell neuroendocrine lung carcinoma by weighted gene co-expression network analysis of clinical tissue-proteomes.

Haruhiko Nakamura, Kiyonaga Fujii, Vipul Gupta, Hiroko Hata, Hirotaka Koizumu, Masahiro Hoshikawa, Saeko Naruki, Yuka Miyata, Ikuya Takahashi, Tomoyuki Miyazawa and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

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  17. Translational Control of Secretory Proteins in Health and Disease.International journal of molecular sciences · 2020
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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

15 authors at 3 institutions in 1 country.

Haruhiko NakamuraDepartment of Chest Surgery, St. Marianna University School of Medicine, Kanagawa, Japan.
Kiyonaga FujiiDepartment of Translational Medicine Informatics, St. Marianna University School of Medicine, Kanagawa, Japan.
Vipul GuptaThe Systems Biology Institute, Tokyo, Japan.ORCID 0000-0003-3345-7288
Hiroko HataMedical Proteomics Laboratory, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Hirotaka KoizumuDepartment of Pathology, St. Marianna University Hospital, Kanagawa, Japan.
Masahiro HoshikawaDepartment of Pathology, St. Marianna University Hospital, Kanagawa, Japan.
Saeko NarukiDepartment of Pathology, St. Marianna University Hospital, Kanagawa, Japan.
Yuka MiyataCorporate Technology Research and Development, NISSHA Co., Kyoto, Japan.
Ikuya TakahashiCorporate Technology Research and Development, NISSHA Co., Kyoto, Japan.
Tomoyuki MiyazawaDepartment of Chest Surgery, St. Marianna University School of Medicine, Kanagawa, Japan.
Hiroki SakaiDepartment of Chest Surgery, St. Marianna University School of Medicine, Kanagawa, Japan.
Kouhei TsumotoMedical Proteomics Laboratory, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Masayuki TakagiDepartment of Pathology, St. Marianna University Hospital, Kanagawa, Japan.
Hisashi SajiDepartment of Chest Surgery, St. Marianna University School of Medicine, Kanagawa, Japan.
Toshihide NishimuraDepartment of Translational Medicine Informatics, St. Marianna University School of Medicine, Kanagawa, Japan.ORCID 0000-0003-4136-5535
St. Marianna University School of Medicine · JPThe University of Tokyo · JPSystems Biology Institute · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small-cell lung carcinoma (SCLC) and large-cell neuroendocrine lung carcinoma (LCNEC) are high-grade lung neuroendocrine tumors (NET). However, comparative protein expression within SCLC and LCNEC remains unclear. Here, protein expression profiles were obtained via mass spectrometry-based proteomic analysis. Weighted gene co-expression network analysis (WGCNA) identified co-expressed modules and hub genes. Of 34 identified modules, six were significant and selected for protein-protein interaction (PPI) network analysis and pathway enrichment. Within the six modules, the activation of cellular processes and complexes, such as alternative mRNA splicing, translation initiation, nucleosome remodeling and deacetylase (NuRD) complex, SWItch/Sucrose Non-Fermentable (SWI/SNF) superfamily-type complex, chromatin remodeling pathway, and mRNA metabolic processes, were significant to SCLC. Modules enriched in processes, including signal recognition particle (SRP)-dependent co-translational protein targeting to membrane, nuclear-transcribed mRNA catabolic process of nonsense-mediated decay (NMD), and cellular macromolecule catabolic process, were characteristically activated in LCNEC. Novel high-degree hub genes were identified for each module. Master and upstream regulators were predicted via causal network analysis. This study provides an understanding of the molecular differences in tumorigenesis and malignancy between SCLC and LCNEC and may help identify potential therapeutic targets.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksProteomicsAgedCarcinoma, Large CellCarcinoma, NeuroendocrineFemaleHumansLung NeoplasmsMaleMiddle AgedProtein Interaction MappingSmall Cell Lung Carcinoma

Identifiers

PMID31166966
PMCPMC6550379
OpenAlexW2948986499

What OpenQuestion holds

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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.