Evidence map›Paper›PMID 36149789›Full record

ArticleClinical and translational medicine2022

In-depth proteomic analysis reveals unique subtype-specific signatures in human small-cell lung cancer.

Beáta Szeitz, Zsolt Megyesfalvi, Nicole Woldmar, Zsuzsanna Valkó, Anna Schwendenwein, Nándor Bárány, Sándor Paku, Viktória László, Helga Kiss, Edina Bugyik and 11 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Entinostat Enhances the Efficacy of Chemotherapy in Small Cell Lung Cancer Through S-phase Arrest and Decreased Base Excision Repair.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  15. Review
  16. 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

21 authors at 7 institutions in 5 countries.

Beáta SzeitzDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-6414-0537
Zsolt MegyesfalviNational Korányi Institute of Pulmonology, Budapest, Hungary.
Nicole WoldmarDivision of Clinical Protein Science, & Imaging, Department of Clinical Sciences (Lund) and Department of Biomedical Engineering, Lund University, Lund, Sweden.
Zsuzsanna ValkóNational Korányi Institute of Pulmonology, Budapest, Hungary.
Anna SchwendenweinDepartment of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
Nándor BárányNational Korányi Institute of Pulmonology, Budapest, Hungary.
Sándor PakuFirst Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Viktória LászlóNational Korányi Institute of Pulmonology, Budapest, Hungary.
Helga KissDepartment of Thoracic Surgery, National Institute of Oncology, Semmelweis University, Budapest, Hungary.
Edina BugyikNational Korányi Institute of Pulmonology, Budapest, Hungary.
Christian LangDepartment of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
Attila Marcell SzászNational Korányi Institute of Pulmonology, Budapest, Hungary.
Luciana PizzattiLaboratory of Molecular Biology and Proteomics of Blood/LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Krisztina BogosNational Korányi Institute of Pulmonology, Budapest, Hungary.
Mir Alireza HodaDepartment of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
Konrad HoetzeneckerDepartment of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
György Marko-VargaDivision of Clinical Protein Science, & Imaging, Department of Clinical Sciences (Lund) and Department of Biomedical Engineering, Lund University, Lund, Sweden.
Peter HorvatovichDepartment of Analytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.
Balázs DömeNational Korányi Institute of Pulmonology, Budapest, Hungary.ORCID 0000-0001-8799-8624
Karin SchelchCenter for Cancer Research, Medical University of Vienna, Vienna, Austria.
Melinda RezeliDivision of Clinical Protein Science, & Imaging, Department of Clinical Sciences (Lund) and Department of Biomedical Engineering, Lund University, Lund, Sweden.ORCID 0000-0003-4373-5616
Semmelweis University · HUMedical University of Vienna · ATOrszágos Korányi Tbc és Pulmonológiai Intézet · HULund University · SEUniversidade Federal do Rio de Janeiro · BRComprehensive Cancer Center Vienna · ATUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall-cell lung cancer (SCLC) molecular subtypes have been primarily characterized based on the expression pattern of the following key transcription regulators: ASCL1 (SCLC-A), NEUROD1 (SCLC-N), POU2F3 (SCLC-P) and YAP1 (SCLC-Y). Here, we investigated the proteomic landscape of these molecular subsets with the aim to identify novel subtype-specific proteins of diagnostic and therapeutic relevance.

methodsPellets and cell media of 26 human SCLC cell lines were subjected to label-free shotgun proteomics for large-scale protein identification and quantitation, followed by in-depth bioinformatic analyses. Proteomic data were correlated with the cell lines' phenotypic characteristics and with public transcriptomic data of SCLC cell lines and tissues.

resultsOur quantitative proteomic data highlighted that four molecular subtypes are clearly distinguishable at the protein level. The cell lines exhibited diverse neuroendocrine and epithelial-mesenchymal characteristics that varied by subtype. A total of 367 proteins were identified in the cell pellet and 34 in the culture media that showed significant up- or downregulation in one subtype, including known druggable proteins and potential blood-based markers. Pathway enrichment analysis and parallel investigation of transcriptomics from SCLC cell lines outlined unique signatures for each subtype, such as upregulated oxidative phosphorylation in SCLC-A, DNA replication in SCLC-N, neurotrophin signalling in SCLC-P and epithelial-mesenchymal transition in SCLC-Y. Importantly, we identified the YAP1-driven subtype as the most distinct SCLC subgroup. Using sparse partial least squares discriminant analysis, we identified proteins that clearly distinguish four SCLC subtypes based on their expression pattern, including potential diagnostic markers for SCLC-Y (e.g. GPX8, PKD2 and UFO).

conclusionsWe report for the first time, the protein expression differences among SCLC subtypes. By shedding light on potential subtype-specific therapeutic vulnerabilities and diagnostic biomarkers, our results may contribute to a better understanding of SCLC biology and the development of novel therapies.

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaBiomarkersCell Line, TumorCulture MediaGene Expression Regulation, NeoplasticHumansNerve Growth FactorsPeroxidasesProteomicsBiomarkersCulture MediaGPX8 protein, humanNerve Growth FactorsPeroxidasesdiagnostic biomarkersmolecular targetsproteomicssecretomesmall-cell lung cancersubtypetranscriptomics

Identifiers

PMID36149789
PMCPMC9506422
OpenAlexW4296805724

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.