Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
An integrated single-cell and spatial transcriptomic atlas of thyroid cancer progression identifies prognostic fibroblast subpopulations
Matthew A. Loberg, George J. Xu, Sheau-Chiann Chen, Hua-Chang Chen, Claudia C. Wahoski, Kailey P. Caroland, Megan L. Tigue, Heather A. Hartmann, Jean-Nicolas Gallant, Courtney J. Phifer, Andres A. Ocampo, Dayle K. Wang, Reilly G. Fankhauser, Kirti A. Karunakaran, Chia-Chin Wu, Maxime Tarabichi, Sophia M. Shaddy, James L. Netterville, Sarah L. Rohde, Carmen C. Solórzano, Lindsay A. Bischoff, Naira Baregamian, Barbara A. Murphy, Jennifer H. Choe, Jennifer R. Wang, Eric C. Huang, Quanhu Sheng, Luciane T. Kagohara, Elizabeth M. Jaffee, Ryan H. Belcher, Ken S. Lau, Fei Ye, Ethan Lee, Vivian L. Weiss
Matthew A. Loberg, George J. Xu, Sheau-Chiann Chen, Hua-Chang Chen, Claudia C. Wahoski, Kailey P. Caroland, Megan L. Tigue, Heather A. Hartmann, Jean-Nicolas Gallant, Courtney J. Phifer, Andres A. Ocampo, Dayle K. Wang, Reilly G. Fankhauser, Kirti A. Karunakaran, Chia-Chin Wu, Maxime Tarabichi, Sophia M. Shaddy, James L. Netterville, Sarah L. Rohde, Carmen C. Solórzano, Lindsay A. Bischoff, Naira Baregamian, Barbara A. Murphy, Jennifer H. Choe, Jennifer R. Wang, Eric C. Huang, Quanhu Sheng, Luciane T. Kagohara, Elizabeth M. Jaffee, Ryan H. Belcher, Ken S. Lau, Fei Ye, Ethan Lee, Vivian L. Weiss
View: Text | PDF
Research Article Genetics Oncology

An integrated single-cell and spatial transcriptomic atlas of thyroid cancer progression identifies prognostic fibroblast subpopulations

  • Text
  • PDF
Abstract

Although well-differentiated thyroid carcinoma (WDTC) is characterized by a robust treatment response, aggressive subtypes, such as anaplastic thyroid carcinoma (ATC), remain highly lethal. To understand thyroid cancer evolution in both children and adults, we analyzed single-cell transcriptomes of 423,733 cells from 81 samples and spatially resolved key tumor and microenvironment populations across 28 tumors with spatial transcriptomics, including rare and unique composite WDTC/ATC tumors and pediatric diffuse sclerosing thyroid carcinomas. Additionally, we identified gene signatures of stromal cell populations in 5 large thyroid cancer bulk RNA-sequencing cohorts. Through this multi-institutional effort, we defined a population of POSTN+ myofibroblast cancer-associated fibroblasts (myCAFs) that are intimately associated with invasive tumor cells and correlate with poor prognosis, lymph node metastasis, and disease progression in thyroid carcinoma. We also revealed a population of inflammatory CAFs that are distant to tumor cells and are found in the inflammatory stromal microenvironment of autoimmune thyroiditis. Together, our study provides spatial profiling of thyroid cancer evolution in samples with mixed WDTC/ATC histopathology and identifies a prognostic myCAF subtype with potential clinical utility in predicting aggressive disease in both children and adults.

Authors

Matthew A. Loberg, George J. Xu, Sheau-Chiann Chen, Hua-Chang Chen, Claudia C. Wahoski, Kailey P. Caroland, Megan L. Tigue, Heather A. Hartmann, Jean-Nicolas Gallant, Courtney J. Phifer, Andres A. Ocampo, Dayle K. Wang, Reilly G. Fankhauser, Kirti A. Karunakaran, Chia-Chin Wu, Maxime Tarabichi, Sophia M. Shaddy, James L. Netterville, Sarah L. Rohde, Carmen C. Solórzano, Lindsay A. Bischoff, Naira Baregamian, Barbara A. Murphy, Jennifer H. Choe, Jennifer R. Wang, Eric C. Huang, Quanhu Sheng, Luciane T. Kagohara, Elizabeth M. Jaffee, Ryan H. Belcher, Ken S. Lau, Fei Ye, Ethan Lee, Vivian L. Weiss

×

Figure 1

Integrated single-cell atlas of thyroid cancer progression.

Options: View larger image (or click on image) Download as PowerPoint
Integrated single-cell atlas of thyroid cancer progression.
(A) Oncoplot...
(A) Oncoplot for thyroid cancer publicly available single-cell RNA-sequencing samples: Luo et al. (26), Pu et al. (27), Lu et al. (28), Han et al. (29), Hong et al. (30), Lee et al. (31), Wang et al. (32). (B) Uniform manifold approximation and projection (UMAP) plot depicting the single-cell atlas labeled by broad cell type. (C) Scaled dot plot showing canonical markers for broad populations from B. (D) UMAP colored by tumor histology with broad groupings of ATC (blue), PTC (light orange), or paratumor/normal (Para, gray). (E) Bar plots showing overall broad cell type composition for each paper in the single-cell atlas split by tumor histology group. pDC, plasmacytoid dendritic cell; NK/T, natural killer/T cell.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts