Evidence map›Paper›PMID 31517842›Full record

ArticleMedicine2019

High expression of cytokeratin CAM5.2 in esophageal squamous cell carcinoma is associated with poor prognosis.

Shujin He, Jie Peng, Lei Li, Ying Xu, Xiaoxiao Wu, Juan Yu, Jianli Liu, Jinguo Zhang, Renya Zhang, Wei Wang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. 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 28% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 1 institution in 1 country.

Shujin HeDepartment of Pathology.
Jie PengDepartment of Pathology.
Lei LiDepartment of Pathology.
Ying XuDepartment of Pathology.
Xiaoxiao WuDepartment of Pathology.
Juan YuDepartment of Pathology.
Jianli LiuDepartment of Pathology.
Jinguo ZhangDepartment of Cardiovasology, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong, China.
Renya ZhangDepartment of Pathology.
Wei WangDepartment of Pathology.
Affiliated Hospital of Jining Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer is a common human malignant tumor with high mortality. Glandular epithelial markers, such as CAM5.2, can be expressed in esophageal squamous cell carcinoma (ESCC), but the clinical significance of these cells in ESCC remains elusive.Immunohistochemical analysis of CAM5.2 was performed on 604 ESCC specimens using tissue microarray. Our study design and study population used retrospective cohorts based on the hospital information system and pathological information management system which included medical information, date of admission, procedures undergone, registration, examinations, and medication.In total, positive staining of CAM5.2 was 145 of 604 (24%). Statistical analysis showed that the expression of CAM5.2 had no relationship with sex, age, tumor differentiation, tumor size, tumor-node-metastasis (TNM) classification, and lymph node metastasis, but it was significantly associated with poor prognosis of overall survival (P = .0041) and disease-free survival (P = .0048) in ESCC patients.Herein, we report for the first time that the high expression of the CAM 5.2 is an independent predictor of poor prognosis in patients with ESCC.

Indexed as

AdultAgedBiomarkersBiopsyChinaCohort StudiesEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHumansImmunohistochemistryKeratinsMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersCAM 5.2 antigenKeratins

Identifiers

PMID31517842
PMCPMC6750307
OpenAlexW3003383864

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.