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Structure, Function, and Morphology in the Classification of Pituitary Neuroendocrine Tumors: the Importance of Routine Analysis of Pituitary Transcription Factors
by
Asa, Sylvia L
, Mete Ozgur
in
Brain cancer
/ Diagnosis
/ GATA-3 protein
/ Immunohistochemistry
/ Neuroendocrine tumors
/ Pit1 protein
/ Pituitary
/ Pituitary gland
/ Precision medicine
/ Structure-function relationships
/ Transcription factors
/ Tumors
2020
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Structure, Function, and Morphology in the Classification of Pituitary Neuroendocrine Tumors: the Importance of Routine Analysis of Pituitary Transcription Factors
by
Asa, Sylvia L
, Mete Ozgur
in
Brain cancer
/ Diagnosis
/ GATA-3 protein
/ Immunohistochemistry
/ Neuroendocrine tumors
/ Pit1 protein
/ Pituitary
/ Pituitary gland
/ Precision medicine
/ Structure-function relationships
/ Transcription factors
/ Tumors
2020
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Do you wish to request the book?
Structure, Function, and Morphology in the Classification of Pituitary Neuroendocrine Tumors: the Importance of Routine Analysis of Pituitary Transcription Factors
by
Asa, Sylvia L
, Mete Ozgur
in
Brain cancer
/ Diagnosis
/ GATA-3 protein
/ Immunohistochemistry
/ Neuroendocrine tumors
/ Pit1 protein
/ Pituitary
/ Pituitary gland
/ Precision medicine
/ Structure-function relationships
/ Transcription factors
/ Tumors
2020
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Structure, Function, and Morphology in the Classification of Pituitary Neuroendocrine Tumors: the Importance of Routine Analysis of Pituitary Transcription Factors
Journal Article
Structure, Function, and Morphology in the Classification of Pituitary Neuroendocrine Tumors: the Importance of Routine Analysis of Pituitary Transcription Factors
2020
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Overview
The traditional approach to the diagnosis of primary adenohypophyseal cell proliferations uses hormone immunohistochemistry to classify pituitary neuroendocrine tumors (PitNETs). The routine application of immunolocalization of pituitary transcription factors (SF1, PIT1, TPIT, ERα, and recently GATA3) along with adenohypophyseal hormones has taught us critical lessons that are discussed in this communication. We point out that appropriate patient care requires accurate diagnosis and is critical in the era of precision medicine. A misdiagnosis can result in far greater health care costs than the cost of accurate tumor classification and may have other unintended consequences. We provide additional insights about confusing findings in genomic studies, emphasizing that high-quality pathology is essential for strong science and translational research.
Publisher
Springer Nature B.V
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