Evidence map›Paper›PMID 31967407›Full record

ArticleMolecular oncology2020

Deciphering tissue-based proteome signatures revealed novel subtyping and prognostic markers for thymic epithelial tumors.

Xin Ku, Qiangling Sun, Lei Zhu, Zhitao Gu, Yuchen Han, Ning Xu, Chen Meng, Xiaohua Yang, Wei Yan, Wentao Fang

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. 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
0.8field-weighted citation impact, top 24% 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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. MoSBi: Automated signature mining for molecular stratification and subtyping.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. 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 2 institutions in 2 countries.

Xin KuShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, China.ORCID 0000-0002-1828-625X
Qiangling SunDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, China.
Lei ZhuDepartment of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University, China.
Zhitao GuDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, China.
Yuchen HanDepartment of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University, China.
Ning XuDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, China.
Chen MengBavarian Center for Biomolecular Mass Spectrometry, Technical University of Munich, Freising, Germany.
Xiaohua YangCentral Lab, Shanghai Chest Hospital, Shanghai Jiao Tong University, China.
Wei YanShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, China.ORCID 0000-0003-0619-5876
Wentao FangDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, China.
Shanghai Jiao Tong University · CNTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thymic epithelial tumors (TETs) belong to a group of tumors that rarely occur, but have unresolved mechanisms and heterogeneous clinical behaviors. Current care of TET patients demands biomarkers of high sensitivity and specificity for accurate histological classification and prognosis management. In this study, 134 fresh-frozen tissue samples (84 tumor, 40 tumor adjacent, and 10 normal thymus) were recruited to generate a quantitative and systematic view of proteomic landscape of TETs. Among them, 90 samples were analyzed by data-independent acquisition mass spectrometry (DIA-MS) leading to discovery of novel classifying molecules among different TET subtypes. The correlation between clinical outcome and the identified molecules was probed, and the prioritized proteins of interest were further validated on the remaining samples (n = 44) via parallel reaction monitoring (PRM) as well as immunohistochemical and confocal imaging analysis. In particular, two proteins, the cellular mRNA deadenylase CCR4 (carbon catabolite repressor 4)-NOT (negative on TATA) complex subunit 2/9 (CNOT2/9) and the serine hydroxymethyltransferase that catalyzes the reversible interconversions of serine and glycine (SHMT1), were found at dramatic low levels in the thymic epithelia of more malignant subtype, thymic squamous cell carcinoma (TSCC). Interestingly, the mRNA levels of these two genes were shown to be closely correlated with prognosis of the TET patients. These results extended the existing human tissue proteome atlas and allowed us to identify several new protein classifiers for TET subtyping. Newly identified subtyping and prognosis markers, CNOT2/9 and SHMT1, will expand current diagnostic arsenal in terms of higher specificity and prognostic insights for TET diagnosis and management.

Indexed as

AdultAgedBiomarkers, TumorFemaleGlycine HydroxymethyltransferaseHumansMaleMiddle AgedNeoplasms, Glandular and EpithelialPrognosisProteomeProteomicsRepressor ProteinsThymus NeoplasmsTranscription FactorsBiomarkers, TumorCNOT2 protein, humanCNOT9 protein, humanGlycine HydroxymethyltransferaseProteomeRepressor ProteinsSHMT protein, humanTranscription Factorsmolecular profilingprotein classifierstargeted proteomicsthymic epithelial tumorsWHO classification

Identifiers

PMID31967407
PMCPMC7138395
OpenAlexW3002640701

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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.