Colorectal large‐cell neuroendocrine carcinoma with lymphoid stroma: further evidence confirming a unique subtype associated with MLH1/PMS2 loss, <i>BRAF</i> mutation, Epstein–Barr virus negativity, and the possibility of a better prognosis
Bibliographic record
Abstract
AIMS: Pure large-cell neuroendocrine carcinoma (LCNEC) is an uncommon but well-recognised primary tumour of the colorectum. It is characterised by large cells organised in a discernible neuroendocrine pattern with >20 mitoses per 10 high-power fields (HPFs), and/or a Ki67 index of >20%, and coagulative tumour necrosis is invariably present. These features are supplemented by positivity for neuroendocrine immunohistochemical markers. The aim of this study was to highlight three primary LCNECs of the colorectum. METHODS AND RESULTS: All three patients were elderly females, aged 79, 85 and 89 years, who presented with ascending colon (two) tumours and a rectal tumour. All three tumours were large, ulcerated, polypoid masses (85, 76 and 55 mm; average size 72 mm) and were pT3N2. Histologically, the tumours were composed of packets and nests of cells with rosettes; other areas were in sheets composed of large cells. The mitotic counts were 23/10 HPFs, 27/10 HPFs and 24/10 HPFs, respectively. There was no mucosal dysplasia, precursor adenoma or associated adenocarcinoma component. All cases contained mainly peritumoral lymphoid aggregates, with smaller numbers of intratumoral lymphocytes. Synaptophysin, chromogranin (less intensely) and epithelial markers were expressed in all cases in the majority of the tumour cells. The Ki67 proliferative indices were 95%, 100%, and 80%, respectively. Two patients survived for 48 and 72 months, whereas the third is alive after 12 months without evidence of recurrence. CONCLUSIONS: These unusual primary colorectal LCNECs with an accompanying lymphoid component are characterised by loss of MLH1/PMS2, BRAF mutation, microsatellite instability, and Epstein-Barr virus negativity. The patients also have better overall survival than those with LCNECs lacking an accompanying lymphoid component.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".