How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020
Abstract
:1. Introduction
2. From Adenoma to Pituitary Neuroendocrine Tumor (PitNET): Evolution Not Revolution
3. Clinical and Pathological Classifications of PitNETs
3.1. Clinical Classifications
3.2. Neuroimaging Classification
Tumor Size and Invasion
3.3. Morphological and Functional Classification
3.3.1. Previous Classifications
3.3.2. WHO 2004 Classification
3.3.3. Morphological and Functional Classification in 2020
3.3.4. Lineage-Restricted Transcription Factors
3.3.5. Morphological Types and Subtypes
3.3.6. Plurihormonal Tumors
3.3.7. Immunonegative Type Rather Than “Null Cell Adenoma”
3.3.8. Difficult Differential Diagnosis
3.3.9. Prognostic Classifications
“Atypical Adenoma” and “High Risk Adenomas” of the WHO 2004 and 2017 Classifications
The French Five-Tiered Prognostic ClassificationCharacteristics of This Classification
Comments on the Criteria of the Grading
Prognostic Value of the Five-Tiered Classification
4. Aggressive Tumor and Pituitary Carcinoma
5. Standardized Histological Report of Pituitary Tumors
6. Conclusions
Funding
Conflicts of Interest
References
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Adenoma Types | Immunophenotypes | Transcription Factors | |
---|---|---|---|
Somatrotroph Adenoma | Densely granulated adenoma | GH ± PRL ± α-su LMW CK: diffuse | Pit-1 |
Sparsely granulated adenoma | GH ± PRL LMW CK: fibrous bodies | Pit-1 | |
Mammosomatotroph adenoma | GH + PRL (in same cell) ± α-su | Pit-1, ERɑ | |
Mixed Somatotroph-Lactotroph adenoma | GH + PRL (in different cells) ± α-su | Pit-1, ERɑ | |
Lactotroph Adenoma | Sparsely granulated adenoma | PRL | Pit-1, ERɑ |
Densely granulated adenoma | PRL | Pit-1, ERɑ | |
Acidophilic stem cell adenoma | PRL, GH (focal and inconstant) | ||
Thyrotroph Adenoma | βTSH, α-su | Pit-1, GATA2 | |
Corticotroph Adenoma | Densely granulated adenoma | ACTH, LMW CK: diffuse pattern | Tpit |
Sparsely granulated adenoma | ACTH, LMW CK: diffuse pattern | Tpit | |
Crooke’s cell adenoma | ACTH, LMW CK: ring-like pattern | Tpit | |
Gonadotroph adenoma | Sparsely granulated | βFSH, βLH, α-su (various combinations) | SF-1, GATA2, ERɑ (variable) |
Null cell adenoma | None | None | |
Plurihormonal adenomas | Pit-1 positive plurihormonal adenoma (previously termed Silent subtype 3 adenoma) | GH, PRL, βTSH ± α-su | Pit-1 |
Adenomas with unusual immunohistochemical combinations | Various combinations | ||
Double adenomas | Distinct adenomas | Usually PRL and ACTH adenomas | Pit-1 and Tpit, respectively |
Secretion | Immunophenotype | Type | |
---|---|---|---|
Functioning | Acromegaly + Hyperthyroidism | GH±TSH ±PRL | Somatotroph plurihormonal |
Hyperthyroidism | TSH ±GH±PRL | Thyrotroph plurihormonal | |
Variable | PRL-ACTH * | Double/triple tumors | |
Non functioning | No secretion | GH-TSH-PRL (Scarcely IR cells) | Silent plurihormonal/Poorly differentiated PIT1 |
Tumor Types | Frequency % | Cytological Aspects | Immunophenotypes | Transcription Factors and Receptors |
---|---|---|---|---|
Densely granulated | GH ± PRL ± α-subunit | PIT1, SSTR2-3-5 | ||
LMW CK: diffuse | ||||
Somatotroph Tumor | 27 | Sparsely granulated | GH ± PRL | PIT1 ± SSTR2-3-5 |
LMW CK: fibrous bodies | ||||
Somatolactotroph | GH + PRL (in different cells) ± α-subunit | PIT1, ERɑ, ± SSTR | ||
Lactotroph Tumor | 21 | Sparsely granulated | PRL | PIT1, ERɑ |
Thyrotroph Tumor | 2 | Sparsely granulated | βTSH, α-subunit | PIT1, GATA2, SSTR2-5 |
Corticotroph Tumor | 13 | Densely granulated * | ACTH, βend; | TPIT, ± SSTR5 |
LMW CK: diffuse | ||||
Sparsely granulated | ACTH, βend; | TPIT | ||
LMW CK: diffuse | ||||
Gonadotroph Tumor | 35 | Sparsely granulated | βFSH, βLH, α-subunit | SF1, GATA2, ERɑ, ±SSTR |
(various combinations) | ||||
Immunonegative Tumor ** | 2 | Sparsely granulated | None | None |
Plurihormonal | Various aspects | GH, PRL, βTSH ± | PIT1 | |
Tumor *** | α-SU | |||
Double/Triple Tumors | Exceptional | Distinct tumors | PRL and ACTH | PIT1/TPIT |
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Trouillas, J.; Jaffrain-Rea, M.-L.; Vasiljevic, A.; Raverot, G.; Roncaroli, F.; Villa, C. How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020. Cancers 2020, 12, 514. https://doi.org/10.3390/cancers12020514
Trouillas J, Jaffrain-Rea M-L, Vasiljevic A, Raverot G, Roncaroli F, Villa C. How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020. Cancers. 2020; 12(2):514. https://doi.org/10.3390/cancers12020514
Chicago/Turabian StyleTrouillas, Jacqueline, Marie-Lise Jaffrain-Rea, Alexandre Vasiljevic, Gérald Raverot, Federico Roncaroli, and Chiara Villa. 2020. "How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020" Cancers 12, no. 2: 514. https://doi.org/10.3390/cancers12020514