Somatostatin receptor expression in adrenocortical carcinomas
Bibliographic record
Abstract
Background. Adrenocortical carcinoma (ACC) is a rare malignant tumor characterized by an annual incidence of 0.5—2 cases per million population. Surgery is the-first line treatment for ACC. When total tumor resection is not possible due to its proliferation or progression, mitotane (o,p’DDD) is used. In this case, stabilization and partial response (as assessed by RECIST criteria) was observed only in 48.7% of cases, necessitating the search for new therapeutic targets. Objective — the study was aimed at assessing the somatostatin receptor expression in adrenocortical carcinomas and adrenal cortex tumors with uncertain malignant potential. Material and methods. Surgical material from adrenocortical tumors of 13 patients (4 males and 9 females aged from 28 to 68 years) was used. In all cases, the diagnosis was verified by morphological and immunohistochemical (IHC) studies: ACC was detected in 10 cases (including 1 case of ACC liver metastasis), oncocytic carcinoma — 1 case, oncocytoma with uncertain malignant potential — 2 cases. Morphological assessment of ACC was carried out according to Weiss criteria (for ACC tumors) and Lin—Weiss—Bisceglia criteria (for oncocytic neoplasms of the adrenal cortex). IHC study was carried out with antibodies to the spectrum of adrenal cortex-specific markers, as well as Ki-67 and somatostatin receptors 2 and 5 (SSTR2 and SSTR5). Results. The expression of SSTR2 and/or 5 was detected in 8 (61.5%) of 13 cases of ACC. Isolated SSTR2 expression was observed in 4 cases (4/13), while SSTR5 expression was observed in 6 cases (6/10). In 2 cases (2/10), co-expression of both receptor types was observed. SSTR expression was observed both in ACC and ACC liver metastasis, as well as in oncocytic ACC. Conclusion. SSTR2 and/or 5 expression in ACC tissue expands diagnostic and prognostic capabilities for this pathology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 0.000 |
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 teacher head, 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".