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Record W4308132829 · doi:10.1210/jendso/bvac150.574

LBODP066 A Conservative Approach To The Management Of Glucagon Receptor (GCCR) Mutation (Mahvash Syndrome)

2022· article· en· W4308132829 on OpenAlexaff
Ari Morgenthau, Josh Silver, Raymond Kim, Chantal F. Morel, Shereen Ezzat

Bibliographic record

VenueJournal of the Endocrine Society · 2022
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsCentre for Family MedicineToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineHyperglucagonemiaGlucagonomaPancreasInternal medicineOctreotideGlucagonAbdomenGlucagon receptorEndocrinologyGastroenterologyRadiologyInsulinSomatostatin

Abstract

fetched live from OpenAlex

Abstract Background Mahvash Syndrome a rare autosomal recessive cause of pancreatic neuroendocrine tumors (pNET) results from inactivation of GCCR. Clinically it presents with hyperglucagonemia without glucagonoma syndrome. Since described in 2008 all surviving adult cases have been managed surgically. We describe 2 related cases managed medically. Case 1 In 2015 a 52 year old female with history of an enlarged pancreas (Aunt of Case 2) presented with incidentally identified hypovascular pancreatic masses while being assessed for back pain. An EBUS-guided FNA of the pancreas demonstrated a pNET with elevated serum glucagon of 100,991 pmol/ml, and Chromogranin A of 183 ng/ml but normal C-peptide, insulin, glucose, and HbA1C. CT chest abdomen pelvis, and octreotide scan had no evidence of metastasis. Due to vague abdominal discomfort, persistently high glucagon levels and pruritis without rash she was started on somatostatin analog therapy. Given her high glucagon without glucagonoma syndrome she was referred to genetics for GCCR sequencing which was notable for homozygous c.187G>A p. Asp63Asn variant (subsequently reclassified as pathogenic). Her case was also reviewed at the multidisciplinary tumor board given her dominant but stable conglomerate 3.2×1.7cm pancreatic lesion (individually measuring 1.6 and 1.4cm). Continued SSA for 7 years showed a slow change in size of the pNET with the dominant lesion at the pancreatic head (1.8cm from 1.6cm in 2015), with no evidence of metastatic spread or clinical changes. Case 2 a 46 year old man with IBD and Psoriatic Arthritis, presented in 2010 with choledocholithiasis. Imaging identified a bulky pancreas with a 1.2 cm nodule consistent with a neuroendocrine tumor. His investigations included 5HIAA, Gastrin, Prolactin, Chromogranin A, Insulin, Fasting Glucose, and HgbA1C all of which were normal. In 2015 following identification of an Aunt (Case 1) with a GCCR Variant of Uncertain Significance his glucagon level was found to be above the limit of detection for the assay. Given his preferences and lack of symptoms, he was monitored clinically without surgery or medications. His Glucagon levels have remained stably elevated at 12940 pg/ml, and the initial pNET has slowly progressed to 1.3cm with an additional 1.1cm and 0.5cm pNETs identified over a 7 year interval. Conclusion These cases describe 2 patients with homozygous c.187G>A GCCR variants, resulting in Mahvash Syndrome. In contrast to previously published cases of the syndrome, and specifically the case report with the same variant, they have been managed non-surgically with regular imaging, and in Case 1 with SSA therapy. While there has been slow growth of the underlying pNET, there has been no clinical changes or evidence of metastatic disease, providing insight into the natural history of Mahvash Syndrome caused by c.187G>A variant, and possibly supporting a less aggressive clinical approach. Presentation: No date and time listed

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)0.000
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.002
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 head0.022
GPT teacher head0.303
Teacher spread0.281 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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