Evidence map›Paper›PMID 32691153›Full record

ArticleJournal of cancer research and clinical oncology2021

Stem signatures associated antibodies yield early diagnosis and precise prognosis predication of patients with non-small cell lung cancer.

Si-Si Chen, Kai Li, Jie Wu, Zi-Yang Peng, Zhi-Dong Wang, Ji-Chang Wang, Chong-Wen Xu, Cai-Lin Zhu, Bao-Cheng Li, Hong Ren and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

12 authors at 2 institutions in 2 countries.

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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, 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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China.
Jie WuDepartment 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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China.
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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China.
Zhi-Dong 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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China.
Ji-Chang WangDepartment of Vascular and Endovascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Chong-Wen XuDepartment of Otorhinolaryngology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Cai-Lin ZhuDepartment 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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China.
Bao-Cheng 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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China.
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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China.
Shou-Ching TangCancer Center and Research Institute, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS, 39216, USA. stang2@umc.edu.
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, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China. dr_sun_endeavour@163.com.ORCID http://orcid.org/0000-0001-5909-5786
First Affiliated Hospital of Xi'an Jiaotong University · CNState Street (United States) · US

Funding

Research Project of Shaanxi Province No. 2018JM7017Young Scientists of China No. 81602597
6 · The paper itself

Abstract

backgroundThis study was designed to detect patients with early NSCLC with tentatively using the stem signatures associated autoantibodies (AAbs), and to evaluate its latent values in the early diagnosis and precise prognosis prediction.

methodsThe serum concentrations of selective antibodies were quantitated by enzyme-linked immunosorbent assay (ELISA), and a total of 458 cases were enrolled (training set = 401; validation set = 57). TCGA databases were used to analyze the distinct expressions and prognostic values of related genes. The optimal cut-off values were 11.60 U/ml for P53, 4.90 U/ml for MAGEA1, 3.85 U/ml for SOX2, and 7.05U/ml for PGP9.5.

resultsWe found that the stem signatures associated antibodies of MAGEA1, PGP9.5, SOX2, and TP53 exhibited high expressions in NSCLC, negatively correlating with the overall survival (OS) (P < 0.05). In the test groups, the diagnosis sensitivity of P53, PGP9.5, SOX2, and MAGEA1 reached to 21.5%, 39.0%, 50.3%, and 35.0%, respectively, and the specificity reached to 98.7%, 99.4%, 92.2%, and 97.4%. The four candidates' panel gave a sensitivity of 71.8% with a specificity of 89%. In the validation group, the detection of the four antibodies in early diagnosis of NSCLC also exhibited high specificity and sensitivity, further consolidating their potential application.

conclusionsThe detection regarding stem signatures associated antibodies could be used as effective tools in early NSCLC diagnosis, but not for localized screening of cancers, and their abnormal expression was in accordance with poorer survival.

Indexed as

Adenocarcinoma of LungAutoantibodiesBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellEarly Detection of CancerFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedNeoplastic Stem CellsPrognosisSurvival RateAutoantibodiesBiomarkers, TumorEarly diagnosisNSCLCStem cell signaturesSurvival predication

Identifiers

PMID32691153
PMCPMC11802159
OpenAlexW3045242741

What OpenQuestion holds

Textmetadata
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.