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S4308 Not-So-Indolent Neuroendocrine Neoplasm: A Case of Extensive Gastric Small Cell Neuroendocrine Carcinoma

2023· article· en· W4387783212 on OpenAlexaff
Hyun Jae Kim, Andrew Fetz, Seng Ian Gan, Sarvee Moosavi

Bibliographic record

VenueThe American Journal of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineEsophagogastroduodenoscopyCurvatures of the stomachStomachPleural effusionEsophagusChromogranin APathologyThoracentesisGastroenterologySmall-cell carcinomaPancreasDuodenumInternal medicineCarcinomaEndoscopyImmunohistochemistry

Abstract

fetched live from OpenAlex

Introduction: Neuroendocrine neoplasms (NENs) are uncommon but can occur in almost every site in the body including lung, intestine, stomach, and pancreas. The majority of gastrointestinal NENs are well-differentiated and follow an indolent course. On the other hand, neuroendocrine carcinomas (NECs) are an extremely rare and aggressive form of NEN that have a poor prognosis. In this report, we present a rare case of gastric small cell NEC, a subtype of gastric NEC, involving nearly the entire upper gastrointestinal tract. Case Description/Methods: An 80-year-old man presented to a tertiary hospital with 2 weeks of dyspnea, along with progressive solid food dysphagia and weight loss over 1 month. Abdominal CT scan demonstrated extensive circumferential mural thickening involving a long segment of the esophagus, along with the entire stomach and duodenum, accompanied by regional lymphadenopathy and bilateral pleural effusion (Figure 1A). Esophagogastroduodenoscopy showed massive ulcerations with necrotic base involving most of the lesser curvature of gastric body (Figure 1B). In addition, luminal narrowing with mucosal friability was noted from proximal esophagus to gastroesophageal junction for 20 cm (Figure C). Biopsies of the gastric ulcer and esophagus demonstrated infiltration by poorly differentiated cells positive for synaptophysin and chromogranin on immunohistochemistry, suggestive of small cell NEC with Ki67 over 80% (Figure 1D). Thoracentesis of pleural effusion also demonstrated small cell NEC and confirmed metastatic disease. The prognosis was estimated to be 3-6 months. Considering his age, frailty, and extent of disease, the patient and his family opted to avoid systemic chemotherapy, awaiting transfer to hospice care. Discussion: Gastric small cell NEC is an extremely rare, but aggressive malignancy, accounting for less than 1% of all gastric carcinomas. Unlike the more common and indolent well-differentiated forms of gastric NENs, gastric small cell NEC exhibits deep invasion and early metastasis, resulting in poor prognosis. Due to the rarity of this condition and our limited understanding of these tumors, there is limited literature on standardized treatment. Our case highlights the aggressive nature of gastric small cell NEC, while presenting relatively acutely, the disease had already manifested extensively with metastasis. Hereby, we aim to raise awareness and encourage further research in the management of this rare, yet aggressive neoplasm.Figure 1.: Figure A – CT scan showing marked circumferential mural thickening involving the esophagus (red arrow) and malignant pleural effusions (black arrow). Figure B – Deep gastric ulcer in the lesser curvature with necrotic base. Figure C – Luminal narrowing of esophagus, despite insufflation, with mucosal friability. Figure D – H&E of gastric ulcer biopsy showing invasion of lamina propria with poorly differentiated hyperchromatic cells with minimal cytoplasm (40×).

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)0.002
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.292
Teacher spread0.271 · 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
Published2023
Admission routes1
Has abstractyes

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