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Related Experiment Video

Updated: Mar 26, 2026

Spontaneous Murine Model of Anaplastic Thyroid Cancer
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Poorly Differentiated Thyroid Carcinoma.

Namrata Setia1, Justine A Barletta1

  • 1Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.

Surgical Pathology Clinics
|February 4, 2016
PubMed
Summary
This summary is machine-generated.

Poorly differentiated thyroid carcinoma (PDTC) remains controversial, bridging the gap between well-differentiated and anaplastic thyroid cancers. This review clarifies its evolving definition, diagnosis, and molecular landscape.

Keywords:
CarcinomaInsularPoorly differentiatedThyroid

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Area of Science:

  • Endocrinology
  • Oncology
  • Pathology

Background:

  • Poorly differentiated thyroid carcinoma (PDTC) is recognized as an intermediate tumor type.
  • Significant controversy exists regarding the precise definition and diagnostic criteria for PDTC.
  • PDTC exhibits clinical behavior between well-differentiated thyroid carcinomas and anaplastic thyroid carcinoma.

Purpose of the Study:

  • To review the historical evolution of the PDTC definition.
  • To discuss current diagnostic criteria and differential diagnoses for PDTC.
  • To highlight recent advances in immunohistochemical studies and molecular alterations relevant to PDTC diagnosis.

Main Methods:

  • Literature review focusing on PDTC definition, diagnosis, and molecular features.
  • Analysis of diagnostic criteria and immunohistochemical markers.
  • Examination of molecular alterations associated with PDTC.

Main Results:

  • The definition of PDTC has evolved over three decades.
  • Current diagnostic criteria and differential diagnoses are presented.
  • Key immunohistochemical markers and molecular alterations are discussed.

Conclusions:

  • Clarification of PDTC definition and diagnostic criteria is crucial.
  • Immunohistochemistry and molecular profiling aid in PDTC diagnosis.
  • Understanding PDTC's place in the thyroid cancer spectrum is essential for patient management.