Evidence map›Paper›PMID 35382656›Full record

ArticleAnnals of medicine2022

Stem signatures associating SOX2 antibody helps to define diagnosis and prognosis prediction with esophageal cancer.

Zi-Yang Peng, Qing-Shi Wang, Kai Li, Si-Si Chen, Xiang Li, Guo-Dong Xiao, Shou-Ching Tang, Hong Ren, Zhe Wang, Xin Sun

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

9 citing papers in PubMed, 40 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

10 authors at 4 institutions in 2 countries.

Zi-Yang PengDepartment of Thoracic Surgery, the Second Department of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.ORCID 0000-0002-5862-2756
Qing-Shi WangDepartment of Thoracic Surgery, the Second Department of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Kai LiDepartment of Thoracic Surgery, the Second Department of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Si-Si ChenDepartment of Thoracic Surgery, the Second Department of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Xiang LiDepartment of Thoracic Surgery, the Second Department of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Guo-Dong XiaoOncology Department, the First Affiliated Hospital of Zhengzhou University, Zheng Zhou City, China.ORCID 0000-0002-8739-5513
Shou-Ching TangUniversity of Mississippi Medical Center, Cancer Center and Research Institute, Jackson, MS, USA.
Hong RenDepartment of Thoracic Surgery, the Second Department of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Zhe WangDepartment of Thoracic Surgery, the Second Department of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Xin SunDepartment of Thoracic Surgery, the Second Department of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.ORCID 0000-0001-5909-5786
First Affiliated Hospital of Xi'an Jiaotong University · CNFirst Affiliated Hospital of Zhengzhou University · CNThomas Jefferson University · USUniversity of Mississippi Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundesophageal cancer is one of the deadliest diseases worldwide. Due to the ineffectual screening methods referring to early diagnosis, most people have lost their chance of radical resection when diagnosed with esophageal cancer. This aim of this study was designed to evaluate the latent values of the stem signatures-associated autoantibodies (AABS) in predicting the early diagnosis, and particularly seeking the precise predictive outcomes with sensitive SOX2. We also studied the potential immunotherapeutic targets and prospective long-term prognosis predicators of esophageal cancer.

methodsThe serum concentrations of selective antibodies were quantitated by enzyme-linked immunosorbent assay (ELISA), and a total of 203 local cases were enrolled. The TCGA databases were used to analyse distinct expression patterns and prognostic values of related genes. The TIMER database was used to explore the signatures of immune cell infiltration in related genes. The TISIDB database was used to analyse the association between related genes and immune regulators.

resultsThe stem signatures-associated with antibodies of TP53, PGP9.5, SOX2, and CAGE were highly expressed in esophageal cancer and were negatively correlated with the test group, the diagnostic sensitivity of P53, SOX2, PGP9.5 and CAGE reached to 54.3%, 56.5%, 80.4% and 47.8%, respectively, and the specificity reached 77.7%, 93.6%, 76.4% and 86.6%. Especially in stage I esophageal cancer, the diagnostic sensitivity of SOX2 reached 82.4% with a specificity of 85.4%, which demonstrated good value in early diagnosis.

conclusionsThe stem signatures-associated antibodies could be used as an effective indicator in early esophageal cancer diagnosis and could help to precisely predicate survival and prognosis.Key MessagesThe stem signatures-associated immune-antibodies could be used as effective indicators in early diagnosis of esophageal cancer and help to precisely predicate the survival and prognosis.The potential immunotherapeutic targets referring to esophageal cancer are screened and analysed, and the high sensitivity of SOX2 in detecting early esophageal cancer will yield early and effective treatments.

Indexed as

AutoantibodiesEsophageal NeoplasmsSOXB1 Transcription FactorsBiomarkers, TumorHumansPrognosisProspective StudiesAutoantibodiesBiomarkers, TumorSOX2 protein, humanSOXB1 Transcription Factorsearly diagnosisimmune infiltration evaluationoesophageal cancerSOX2Stem cells signatures

Identifiers

PMID35382656
PMCPMC9004505
OpenAlexW4223600666

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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.