Evidence map›Paper›PMID 28969060›Full record

ArticleOncotarget2017

Chaperonin containing TCP1 subunit 5 is a tumor associated antigen of non-small cell lung cancer.

Hongjun Gao, Min Zheng, Sijin Sun, Hongwu Wang, Zhigang Yue, Yun Zhu, Xiaochen Han, Junquan Yang, Yanqiu Zhou, Yiran Cai and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 23% 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, 30 citations in OpenAlex.

  1. Materials today. Bio · 2026
    Article
  2. Article
  3. Article
  4. IncreasedThe Journal of international medical research · 2024
    Article
  5. Article
  6. Article
  7. The TRiCky Business of Protein Folding in Health and Disease.Frontiers in cell and developmental biology · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The TCP1 ring complex is associated with malignancy and poor prognosis in hepatocellular carcinoma.International journal of clinical and experimental pathology · 2019
    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

11 authors at 5 institutions in 1 country.

Hongjun Gao *Department of Clinical Laboratory, China Meitan General Hospital, Beijing, PR China.
Min Zheng *Department of Oncology, Tangshan People's Hospital & Tangshan Cancer Hospital, North China University of Science and Technology, Tangshan, PR China.
Sijin Sun *Department of Clinical Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China.
Hongwu WangDepartment of Oncology, China Meitan General Hospital, Beijing, PR China.
Zhigang YueDepartment of Clinical Laboratory, China Meitan General Hospital, Beijing, PR China.
Yun ZhuDepartment of Clinical Laboratory, China Meitan General Hospital, Beijing, PR China.
Xiaochen HanDepartment of Oncology, Tangshan People's Hospital & Tangshan Cancer Hospital, North China University of Science and Technology, Tangshan, PR China.
Junquan YangDepartment of Oncology, Tangshan People's Hospital & Tangshan Cancer Hospital, North China University of Science and Technology, Tangshan, PR China.
Yanqiu ZhouDepartment of Clinical Laboratory, China Meitan General Hospital, Beijing, PR China.
Yiran CaiDepartment of Pathology, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, PR China.
Wanning HuDepartment of Oncology, Tangshan People's Hospital & Tangshan Cancer Hospital, North China University of Science and Technology, Tangshan, PR China.
Meitan General Hospital · CNTangshan People's Hospital · CNBeijing Chest Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel tumor antigens and their related autoantibodies have tremendous potential for early diagnosis of non-small cell lung cancer (NSCLC). In this study, we identify antigens from NSCLC tissue and autoantibodies in sera of patients with NSCLC using a modified proteomics-based approach. We seperated and identified four NSCLC-associated proteins extracted from the cytosol in tumor tissues by mini-two-dimensional gel electrophoresis, followed by Western blot and hybridization with individual sera for confirmation of antibody binding. Of the proteins we identified, we selected 58 kDa chaperonin containing TCP1(T-Complex Protein 1) subunit 5 (CCT5) for validation. Serum levels of carcinoembryonic antigen (CEA) and cytokeratin 19 fragments (CYFRA 21-1) were measured in all serum samples with an immunoluminometric assay and a receiver operating characteristic (ROC) curve was analyzed for autoantibodies against CCT5, CEA and CYFRA 21-1. The results show that CCT5 can induce an autoantibody response in NSCLC sera and show higher expression in NSCLC tissues by immunohistochemistry and Western blot. Anti-CCT5 autoantibody was found in 51% (23/45) of patients with NSCLC, but only 2.5% (1/40) in non-tumor individual controls. A receiver operating characteristic curve constructed with a panel of autoantibodies against CCT5 (AUC=0.749), CEA (AUC=0.6758), and CYFRA 21-1(AUC=0.760) show a sensitivity of 51.1% and 97.5% specificity in discriminating NSCLC from matched controls. These results indicate the potential utility of screening autoantibodies in sera, show that CCT5 could be used as a biomarker in cancer diagnosis.

Indexed as

CCT5CEACYFRA 21-1non-small cell lung cancer

Identifiers

PMID28969060
PMCPMC5609992
OpenAlexW2736509084

What Socratic 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 Socratic graph.