Evidence map›Paper›PMID 32010572›Full record

ArticleTranslational lung cancer research2019

Comparative expression analysis in small cell lung carcinoma reveals neuroendocrine pattern change in primary tumor versus lymph node metastases.

Zoltan Lohinai, Zsolt Megyesfalvi, Kenichi Suda, Tunde Harko, Shengxiang Ren, Judit Moldvay, Viktoria Laszlo, Christopher Rivard, Balazs Dome, Fred R Hirsch

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

Article in Translational lung cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  3. The Five-Decade Journey of Small Cell Lung Cancer.Cancer communications (London, England) · 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

10 authors at 5 institutions in 5 countries.

Zoltan LohinaiDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, Budapest, Hungary.
Zsolt MegyesfalviDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, Budapest, Hungary.
Kenichi SudaDivision of Thoracic Surgery, Department of Surgery, Faculty of Medicine, Kindai University, Osaka-Sayama, Japan.
Tunde HarkoDepartment of Pathology, National Koranyi Institute of Pulmonology, Budapest, Hungary.
Shengxiang RenDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China.
Judit MoldvayDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, Budapest, Hungary.
Viktoria LaszloDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, Budapest, Hungary.
Christopher RivardDivision of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Balazs DomeDepartment of Tumor Biology, National Koranyi Institute of Pulmonology, Budapest, Hungary.
Fred R HirschDivision of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Országos Korányi Tbc és Pulmonológiai Intézet · HUNational Institute of Oncology · HUUniversity of Colorado Anschutz Medical Campus · USKindai University · JPShanghai Pulmonary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent preclinical data suggest that neuroendocrine (NE) subtype of small cell lung cancer (SCLC) has strong therapeutic relevance. NE high tumors are associated with immune desert and NE low tumors are considered to have an immune oasis phenotype. Our aim was to investigate the NE phenotypes of surgically resected SCLC tumors according to inter-tumor heterogeneity.

methodsExpression analysis for 2,560 genes was performed in 32 surgically resected SCLC patients' primary tumors and corresponding lymph node (LN) metastases. To analyze tumor heterogeneity, we examined the differences in the gene expression of primary tumors versus LN metastases. We performed cluster analysis and heat map to divide patients into NE high and low subtypes by using the top NE-associated genes described in preclinical studies.

resultsWe found 6% (n=154) genes with significant differences and only 13.1% (n=336) of all genes in the panel had a strong correlation between the primary tumor and LN metastases. Cluster analysis clearly distinguished SCLC NE high versus low subtypes both in primary tumor (20

conclusionsOur data confirm the results of preclinical studies and clearly distinguish NE low and high differentiation clusters in SCLC. Moreover, they highlight the gene expression discordance between primary tumors and corresponding LN metastases suggesting that the NE pattern of metastatic LNs might not reflect that of the primary tumor. Altogether, by shedding light on the diversity of SCLC, the current study might help to improve patient selection and treatment in this devastating disease. KEYWORDS: Small cell lung cancer (SCLC); neuroendocrine tumor; lymph node metastasis; tumor heterogeneity; RNA sequencing.

Identifiers

PMID32010572
PMCPMC6976364
OpenAlexW2998548898

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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.