Evidence map›Paper›PMID 34897468›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

Characterization of Subtypes of BRAF-Mutant Papillary Thyroid Cancer Defined by Their Thyroid Differentiation Score.

Laura Boucai, Venkatraman Seshan, Michelle Williams, Jeffrey A Knauf, Mahesh Saqcena, Ronald A Ghossein, James A Fagin

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Thyroid differentiation profile for differentiated thyroid cancer.Endocrine oncology (Bristol, England) · 2025
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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

7 authors.

Laura BoucaiDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-8852-1120
Venkatraman SeshanDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michelle WilliamsDepartment of Pathology, MD Anderson Cancer Center, Houston, TX, USA.
Jeffrey A KnaufCenter for Immunotherapy & Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA.
Mahesh SaqcenaHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ronald A GhosseinDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
James A FaginDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
SPORE in Thyroid CancerP50CA172012 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI FAGIN, JAMES A · 2014 to 2018
$10.3M
MOLECULAR PATHOPHYSIOLOGY OF THYROID CELL GROWTHR01CA050706 · NCI · UNIVERSITY OF CINCINNATI · PI FAGIN, JAMES A · 1995 to 2023
$7.5M
Improving efficacy of radioiodine treatment of thyroid cancerR01CA249663 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI FAGIN, JAMES A, HO, ALAN L. · 2021 to 2025
$2.3M
Maximizing effectiveness of radioiodine therapy by inhibition of MAPK signalingR01CA173592 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI FAGIN, JAMES A · 2013 to 2014
$817k
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA172012NCI NIH HHS R01 CA050706NCI NIH HHS R01 CA173592NCI NIH HHS R01 CA249663NIH HHS RO1-CA50706-23
6 · The paper itself

Abstract

contextThe BRAFV600E mutation has been associated with more advanced clinical stage in papillary thyroid cancer (PTC) and decreased responsiveness to radioiodine (RAI). However, some BRAF mutant PTCs respond to RAI and have an indolent clinical behavior suggesting the presence of different subtypes of BRAF mutant tumors with distinct prognosis.

objectiveTo characterize the molecular and clinical features of 2 subtypes of BRAF-mutant PTCs defined by their degree of expression of iodine metabolism genes.

design227 BRAF-mutant PTCs from the Cancer Genome Atlas Thyroid Cancer study were divided into 2 subgroups based on their thyroid differentiation score (TDS): BRAF-TDShi and BRAF-TDSlo. Demographic, clinico-pathological, and molecular characteristics of the 2 subgroups were compared.

resultsCompared to BRAF-TDShi tumors (17%), BRAF-TDSlo tumors (83%) were more frequent in blacks and Hispanics (6% vs 0%, P = 0.035 and 12% vs 0%, P = 0.05, respectively), they were larger (2.95 ± 1.7 vs 2.03 ± 1.5, P = 0.002), with more tumor-involved lymph nodes (3.9 ± 5.8 vs 2.0 ± 4.2, P = 0.042), and a higher frequency of distant metastases (3% vs 0%, P = 0.043). Gene set enrichment analysis showed positive enrichment for RAS signatures in the BRAF-TDShi cohort, with corresponding reciprocal changes in the BRAF-TDSlo group. Several microRNAs (miRs) targeting nodes in the transforming growth factor β (TGFβ)-SMAD pathway, miR-204, miR-205, and miR-144, were overexpressed in the BRAF-TDShi group. In the subset with follow-up data, BRAF-TDShi tumors had higher complete responses to therapy (94% vs 57%, P < 0.01) than BRAF-TDSlo tumors.

conclusionEnrichment for RAS signatures, key genes involved in cell polarity and specific miRs targeting the TGFβ-SMAD pathway define 2 subtypes of BRAF-mutant PTCs with distinct clinical characteristics and prognosis.

Indexed as

MicroRNAsThyroid NeoplasmsHumansIodine RadioisotopesMutationProto-Oncogene Proteins B-rafThyroid Cancer, PapillaryTransforming Growth Factor betaBRAF protein, humanIodine RadioisotopesMicroRNAsMIRN204 microRNA, humanProto-Oncogene Proteins B-rafTransforming Growth Factor betaBRAF-mutant thyroid cancerthyroid differentiation score

Identifiers

PMID34897468
PMCPMC8947218

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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.