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Neuronal metaplasia: A pituitary adenoma with gangliocytic component and growth hormone (GH) secretion

2019· article· en· W3173778578 on OpenAlexaff
Fabio Rotondo, Nicole Amaral, David G. Muñoz, Kálmán Kovács, Michael D. Cusimano

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsPituitary adenomaAcromegalyPathologyOptic chiasmNeuropilSynaptophysinSella turcicaMedicinePituitary tumorsGanglionPopulationPituitary neoplasmAdenomaImmunohistochemistryBiologyPituitary glandAnatomyEndocrinologyOptic nerveHormoneCentral nervous system

Abstract

fetched live from OpenAlex

Background Pituitary adenomas (PA) possessing neuronal components are rare. These tumors are usually benign and arise within the sellar region. Most are associated with acromegaly and few with Cushing disease or hyperprolactinemia. Few studies have focused on the origin and presence of neuronal components in the sellar region. Clinical case A 53‐year‐old woman developed headaches and numbness on one side of her face. Initial work‐up found significant enlargement and/or elongation over the past five years to her hands, feet and face, along with blurred/double vision. She had a history of hypertension, polyuria, and polydypsia. MRI revealed a sellar/suprasellar mass extending toward the cavernous regions and into the chiasm. The lesion was interpreted as a pituitary macroadenoma with mass effect on the optic chiasm and optic nerves. Based on the clinical and radiologic findings, she was diagnosed with acromegalic features secondary to macroadenoma and was started on Octreotide. One month after starting drug treatment the patient underwent transsphenoidal surgery. Morphologic examination of the tissue revealed a homogenous population of predominantly acidophilic tumor cells with focal chromophobic cells. The tumor was admixed with ganglion cells with acidophilic cytoplasm, embedded in fibrillar, neuropil‐like matrix. Immunohistochemistry (IHC) of the tumor, showed intense positivity for GH. Cytokeratin immunostaining showed a distinct pattern of spherical paranuclear fibrous bodies in most cells. Multiple focal areas of neuropil populated with multi‐nucleated Nissl stained ganglion cells were noted. IHC showed that the ganglion cells expressed Hu, as well as variable immunopositivity for multiple pituitary hormones. The neuropil was also positive for neurofilament protein. Microscopic evaluation of the histologic and IHC findings, along with ultrastructural analysis, were characteristic of a sparsely granulated GH‐producing PA with a neuronal component corresponding to neuronal metaplasia. Conclusion At present, this entity is classified as “ganglicytoma” by the WHO. The name PA with neuronal metaplasia is a more appropriate designation than the other terminologies currently used. Analysis of published data is indicative that such a lesion is likely to have developed from uncommitted progenitor cells within the PA. Metaplasia best explains the presence of transitional cell types as indicated by the histological presence of NFP, Hu, and Nissl with production of multiple pituitary hormones in our sparsely granulated GH‐producing PA. The neuropil herein must have formed from a defective progenitor cell existing within the pituitary tissue. The exact relationship between GH‐producing PAs and the presence of neuronal cells within it is perplexing. The pathogenesis and nosology of PA with neuronal components is not yet fully resolved and further study is necessary to explore the cause, progression and influencing factors of this disease. Support or Funding Information This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.208
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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