Evidence map›Paper›PMID 35357570›Full record

ArticleVirchows Archiv : an international journal of pathology2022

Utility of secretagogin as a marker for the diagnosis of lung neuroendocrine carcinoma.

Yigit Baykara, Ying Xiao, Dongfang Yang, Evgeny Yakirevich, Sara Maleki, Maria Garcia-Moliner, Li Juan Wang, Chiung-Kuei Huang, Shaolei Lu

Abstract read
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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Yigit BaykaraDepartment of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, 02903, USA.
Ying XiaoDepartment of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, 02903, USA.
Dongfang YangDepartment of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, 02903, USA.
Evgeny YakirevichDepartment of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, 02903, USA.
Sara MalekiDepartment of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, 02903, USA.
Maria Garcia-MolinerDepartment of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, 02903, USA.
Li Juan WangDepartment of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, 02903, USA.
Chiung-Kuei HuangDepartment of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
Shaolei LuDepartment of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, 02903, USA. slu@lifespan.org.ORCID http://orcid.org/0000-0003-2870-5793
Brown University · USTulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small-cell lung cancers (SCLC) and large-cell neuroendocrine carcinomas (LCNEC) are two types of high-grade pulmonary neuroendocrine carcinomas (NECs). Diagnostic neuroendocrine markers commonly include synaptophysin, chromogranin A, CD56, and insulinoma-associated protein 1 (INSM1). In this study, the utility of secretagogin (SCGN) was examined in the context of pulmonary NEC diagnosis. The study included 71 pulmonary NEC cases (18 SCLCs, 13 combined-SCLCs, 23 LCNECs, and 17 combined-LCNECs). Immunohistochemical stains of SCGN, synaptophysin, chromogranin A, CD56, and INSM1 were performed on whole tumor sections. The stains were evaluated based on combined staining intensity and the proportion of positive tumor cells. At least mild staining intensity in at least 1% of the cells was considered positive. Bioinformatic studies showed specific SCGN expression in neuroendocrine cells and NECs. SCGN showed diffuse nuclear and cytoplasmic staining in NECs with intra-tumoral heterogeneity. The non-neuroendocrine components were negative. The sensitivity of SCGN was no better than the other established neuroendocrine markers based on all NECs combined or LCNECs/c-LCNECs only. However, the sensitivity of SCGN (71%) was higher than chromogranin A (68%) for SCLCs/c-SCLCs only. The average proportion of SCGN positive tumor cells was 8% higher than chromogranin A (22% versus 14%, P = 0.0332) in all NECs and 18% higher for SCLC and c-SCLC cases only (32% versus 13%, P = 0.0054). The above data showed that SCGN could be used as a supplemental neuroendocrine marker to diagnose SCLC.

Indexed as

Carcinoma, NeuroendocrineChromogranin ALung NeoplasmsNeuroendocrine TumorsSmall Cell Lung CarcinomaBiomarkers, TumorHumansImmunohistochemistryLungRepressor ProteinsSecretagoginsSynaptophysinBiomarkers, TumorCHGA protein, humanChromogranin AINSM1 protein, humanRepressor ProteinsSecretagoginsSynaptophysinImmunohistochemistryLarge-cell neuroendocrine carcinomaLung neuroendocrine carcinomaSecretagoginSmall-cell lung cancer

Identifiers

PMID35357570
OpenAlexW4220776874

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.