Evidence map›Paper›PMID 38426403›Full record

ArticleClinical and translational medicine2024

Spatial transcriptomics reveals prognosis-associated cellular heterogeneity in the papillary thyroid carcinoma microenvironment.

Kai Yan, Qing-Zhi Liu, Rong-Rong Huang, Yi-Hua Jiang, Zhen-Hua Bian, Si-Jin Li, Liang Li, Fei Shen, Koichi Tsuneyama, Qing-Ling Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 26 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

13 authors at 5 institutions in 2 countries.

Kai YanGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Qing-Zhi LiuChronic Disease Laboratory, Institutes for Life Sciences, South China University of Technology, Guangzhou, China.
Rong-Rong HuangGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yi-Hua JiangGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Zhen-Hua BianSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.
Si-Jin LiDepartment of Thyroid Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Liang LiMedical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Fei ShenDepartment of Thyroid Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Koichi TsuneyamaDepartment of Pathology and Laboratory Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
Qing-Ling ZhangDepartment of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zhe-Xiong LianGuangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Haixia GuanDepartment of Endocrinology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Bo XuDepartment of Thyroid Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.ORCID 0000-0003-2259-8245
Guangdong Academy of Medical Sciences · CNGuangzhou First People's Hospital · CNSouth China University of Technology · CNKey Laboratory of Guangdong Province · CNTokushima University · JP

Funding

Guangdong Introducing Innovative and Entrepreneurial Teams 2017ZT07S054Guangzhou Municipal Science and Technology Bureau 2023A03J0967Key-Area Research and Development Program of Guangdong Province 2021B0101420005National Natural Science Foundation of China 8197227National Natural Science Foundation of China 82173033
6 · The paper itself

Abstract

backgroundPapillary thyroid carcinoma (PTC) is the most common malignant endocrine tumour, and its incidence and prevalence are increasing considerably. Cellular heterogeneity in the tumour microenvironment is important for PTC prognosis. Spatial transcriptomics is a powerful technique for cellular heterogeneity study.

methodsIn conjunction with a clinical pathologist identification method, spatial transcriptomics was employed to characterise the spatial location and RNA profiles of PTC-associated cells within the tissue sections. The spatial RNA-clinical signature genes for each cell type were extracted and applied to outlining the distribution regions of specific cells on the entire section. The cellular heterogeneity of each cell type was further revealed by ContourPlot analysis, monocle analysis, trajectory analysis, ligand-receptor analysis and Gene Ontology enrichment analysis.

resultsThe spatial distribution region of tumour cells, typical and atypical follicular cells (FCs and AFCs) and immune cells were accurately and comprehensively identified in all five PTC tissue sections. AFCs were identified as a transitional state between FCs and tumour cells, exhibiting a higher resemblance to the latter. Three tumour foci were shared among all patients out of the 13 observed. Notably, tumour foci No. 2 displayed elevated expression levels of genes associated with lower relapse-free survival in PTC patients. We discovered key ligand-receptor interactions, including LAMB3-ITGA2, FN1-ITGA3 and FN1-SDC4, involved in the transition of PTC cells from FCs to AFCs and eventually to tumour cells. High expression of these patterns correlated with reduced relapse-free survival. In the tumour immune microenvironment, reduced interaction between myeloid-derived TGFB1 and TGFBR1 in tumour focus No. 2 contributed to tumourigenesis and increased heterogeneity. The spatial RNA-clinical analysis method developed here revealed prognosis-associated cellular heterogeneity in the PTC microenvironment.

conclusionsThe occurrence of tumour foci No. 2 and three enhanced ligand-receptor interactions in the AFC area/tumour foci reduced the relapse-free survival of PTC patients, potentially leading to improved prognostic strategies and targeted therapies for PTC patients.

Indexed as

Thyroid NeoplasmsGene Expression ProfilingHumansLigandsNeoplasm Recurrence, LocalPrognosisRNAThyroid Cancer, PapillaryTumor MicroenvironmentLigandsRNAcellular heterogeneityligand-receptor interactionspapillary thyroid carcinomaprognosisspatial transcriptomicstumour microenvironment

Identifiers

PMID38426403
PMCPMC10905537
OpenAlexW4392356219

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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.