Evidence map›Paper›PMID 35194950›Full record

ArticleMolecular oncology2022

Stratification of follicular thyroid tumours using data-independent acquisition proteomics and a comprehensive thyroid tissue spectral library.

Yaoting Sun, Lu Li, Yan Zhou, Weigang Ge, He Wang, Runxin Wu, Wei Liu, Hao Chen, Qi Xiao, Xue Cai and 13 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 38 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

23 authors at 6 institutions in 3 countries.

Yaoting SunZhejiang University, Hangzhou, China.
Lu LiZhejiang University, Hangzhou, China.
Yan ZhouZhejiang University, Hangzhou, China.
Weigang GeWestlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou, China.
He WangWestlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou, China.
Runxin WuWestlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.
Wei LiuWestlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou, China.
Hao ChenWestlake Omics (Hangzhou) Biotechnology Co., Ltd, Hangzhou, China.
Qi XiaoZhejiang University, Hangzhou, China.
Xue CaiZhejiang University, Hangzhou, China.
Zhen DongWestlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.
Fangfei ZhangWestlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.
Junhong XiaoDepartment of General Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Guangzhi WangDepartment of General Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Yi HeDepartment of Urology, The Second Hospital of Dalian Medical University, Dalian, China.
Jinlong GaoWestlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.
Oi Lian KonDivision of Medical Sciences, National Cancer Centre Singapore, Republic of Singapore.
Narayanan Gopalakrishna IyerDivision of Medical Sciences, National Cancer Centre Singapore, Republic of Singapore.
Haixia GuanDepartment of Endocrinology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xiaodong TengDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yi ZhuWestlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.ORCID 0000-0003-0429-0802
Yongfu ZhaoDepartment of General Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Tiannan GuoZhejiang University, Hangzhou, China.ORCID 0000-0003-3869-7651
Westlake University · CNDalian Medical University · CNNational Cancer Centre Singapore · SGFirst Affiliated Hospital Zhejiang University · CNGuangdong Academy of Medical Sciences · CNJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid nodules occur in about 60% of the population. A major challenge in thyroid nodule diagnosis is to distinguish between follicular adenoma (FA) and carcinoma (FTC). Here, we present a comprehensive thyroid spectral library covering five types of thyroid tissues. This library includes 121 960 peptides and 9941 protein groups. This spectral library can be used to quantify up to 7863 proteins from thyroid tissues, and can also be used to develop parallel reaction monitoring (PRM) assays for targeted protein quantification. Next, to stratify follicular thyroid tumours, we compared the proteomes of 24 FA and 22 FTC samples, and identified 204 differentially expressed proteins (DEPs). Our data suggest altered ferroptosis pathways in malignant follicular carcinoma. In all, 31 selected proteins effectively distinguished follicular tumours. Of those DEPs, nine proteins were further verified by PRM in an independent cohort of 18 FA and 19 FTC. Together, we present a comprehensive spectral library for DIA and targeted proteomics analysis of thyroid tissue specimens, and identified nine proteins that could potentially distinguish FA and FTC.

Indexed as

Adenocarcinoma, FollicularAdenomaCarcinomaThyroid NeoplasmsHumansProteomicsdata-independent acquisitionmass spectrometryproteomicsspectral librarythyroid nodules

Identifiers

PMID35194950
PMCPMC9019893
OpenAlexW4213430105

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.