Evidence map›Paper›PMID 36387901›Full record

ArticleFrontiers in endocrinology2022

Integrated analysis of fibroblasts molecular features in papillary thyroid cancer combining single-cell and bulk RNA sequencing technology.

Wei Li, Zhiyong Liu, Xiaoxia Cen, Jing Xu, Suo Zhao, Bin Wang, Wei Zhang, Ming Qiu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

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  6. Cancer-associated fibroblasts as a potential therapeutic target for thyroid cancers.International journal of surgery (London, England) · 2026
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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

8 authors at 2 institutions in 1 country.

Wei LiDepartment of General Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.
Zhiyong LiuDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoxia CenDepartment of General Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.
Jing XuDepartment of General Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.
Suo ZhaoDepartment of General Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.
Bin WangDepartment of General Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.
Wei ZhangDepartment of General Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.
Ming QiuDepartment of General Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.
Shanghai Changzheng Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Papillary thyroid cancer (PTC) is the most common pathological type of thyroid cancer with a high incidence globally. Increasing evidence reported that fibroblasts infiltration in cancer was correlated with prognostic outcomes. However, fibroblasts related study in thyroid cancer remains deficient. Methods: Single-cell sequencing data of PTC were analyzed by Seurat R package to explore the ecosystem in PTC and identify fibroblasts cluster. The expression profiles and prognostic values of fibroblast related genes were assessed in TCGA dataset. A fibrosis score model was established for prognosis prediction in thyroid cancer patients. Differentially expressed genes and functional enrichment between high and low fibrosis score groups in TCGA dataset were screened. The correlation of immune cells infiltration and fibrosis score in thyroid cancer patients was explored. Expression levels and prognostic values of key fibroblast related factor were validated in clinical tissues another PTC cohort. Results: Fibroblasts were highly infiltrated in PTC and could interact with other type of cells by single-cell data analysis. 34 fibroblast related terms were differentially expressed in thyroid tumor tissues. COX regression analysis suggested that the constructed fibrosis score model was an independent prognostic predictor for thyroid cancer patients (HR = 5.17, 95%CI 2.31-11.56, P = 6.36E-05). Patients with low fibrosis scores were associated with a significantly better overall survival (OS) than those with high fibrosis scores in TCGA dataset (P = 7.659E-04). Specific immune cells infiltration levels were positively correlated with fibrosis score, including monocytes, M1 macrophages and eosinophils. Conclusion: Our research demonstrated a comprehensive horizon of fibroblasts features in thyroid cancer microenvironment, which may provide potential value for thyroid cancer treatment.

Indexed as

EcosystemThyroid NeoplasmsBiomarkers, TumorFibroblastsFibrosisGene Expression Regulation, NeoplasticHumansSequence Analysis, RNATechnologyThyroid Cancer, PapillaryTumor MicroenvironmentBiomarkers, Tumorfibroblastsprognosissingle-cell sequencingthyroid cancertumor environment

Identifiers

PMID36387901
PMCPMC9643292
OpenAlexW4307250516

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.