Evidence map›Paper›PMID 30174845›Full record

ArticleJournal of thoracic disease2018

Prognostic value of immunohistochemical factors in esophageal small cell carcinoma (ESCC): analysis of clinicopathologic features of 73 patients.

Yigong Zhang, Cong Li, Ming Chen

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 11 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

3 authors at 2 institutions in 1 country.

Yigong ZhangDepartment of Cardiothoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China.
Cong LiDepartment of Chemotherapy, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310003, China.
Ming ChenDepartment of Chemotherapy, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310003, China.
Zhejiang Cancer Hospital · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal small cell carcinoma (ESCC) is an aggressive disease with poor prognosis. This study sought to describe immunohistochemical (IHC) and clinicopathological features of patients with ESCC, and to clarify how the utilization of different marker combination affects prognostic outcome.

methodsThe paraffin-embedded ESCC samples of 73 patients were immunohistochemically analyzed of neuron specific enolase (NSE), chromogranin A (CgA), synaptophysin (Syn) and thyroid transcriptional factor-1 (TTF-1). The positivity of these factors and their correlation with clinical characteristics was described. The relation between positive expression of them and survival was also analyzed.

resultsImmunological reactivity of the samples was Syn 68.5%, TTF-1 49.3%, NSE 90.4%, CgA 43.8%. There were 18 patients with 4 biomarkers positive (24.7%), 24 patients with 3 biomarkers positive (32.9%), 14 patients with 2 biomarkers positive (19.2%) and 12 patients with only 1 biomarker positive (16.4%). Five cases (6.8%) were all negative. The 2- and 3-year survivals were 24.8% and 19.9%, respectively. The mOS of patients without expression of four factors was significant worse than those with at least one factor of positive expression (6.1

conclusionsPatients with ESCC have a poor prognosis. The positive labeling of Syn, CgA, NSE and TTF-1 implicated their favourable prognostic value trend. These factors or their combination might serve as useful markers in prognostic evaluation.

Indexed as

Esophageal carcinomaimmunohistochemistryprognosissmall cell carcinoma

Identifiers

PMID30174845
PMCPMC6106041
OpenAlexW2811131793

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.