Neurotensin Receptor 1 (NTSR1) Overexpression in Breast Carcinomas Is Common and Independent of ER/PR/Her2 Expression
Bibliographic record
Abstract
Neurotensin (NT) is a 13-amino acid peptide with trophic effects on some neoplasms. Its bioactivities are mainly mediated by neurotensin receptor 1 (NTSR1). Both NT and NTSR1 were found to be upregulated in breast cancer. NT/NTSR1 thus becomes a potential therapeutic target. We studied whether any correlation exists between the expression of NTSR1 in breast carcinomas and the expression of ER, PR, and Her2. A total 85 cases of invasive ductal (62) and lobular (23) breast carcinomas were studied. Based on their ER/PR profiles, the ductal carcinomas (DCs) were subcategorized into ER+/PR+ (21), ER+/PR﹣ (20), and ER﹣/PR﹣ (21). All of the lobular carcinomas (LCs) were ER+/PR+. 21.57% of all DCs and 5.56% of LCs were Her2 positive. 77.78% of ER﹣/PR﹣ DCs were also Her2 negative (triple negative). The expression of NTSR1 was detected by immunohistochemistry and was semiquantitated (as negative, 1+, 2+, 3+). Both 2+ and 3+ were collectively defined as overexpression. The expression of NTSR1 was weak and focal in non-neoplastic mammary epithelial cells. It is increased in 74.19% of DCs (80.95% in ER+/PR+, 75% in ER+/PR﹣, and 66.67% in ER﹣/PR﹣ group), and in 95.65% of LCs. The overexpression of NTSR1 is similar between ER+ DCs and ER﹣ DCs (75% vs 66.67%, p > 0.05) as well as between PR+ DCs and PR﹣ DCs (80.95% in ER+/PR+ DCs vs 75% in ER+/PR﹣ DCs, p > 0.05). And it was seen in 77.78% of Her2+ DCs, 78.38% of Her2﹣ DCs, 94.12% of Her2﹣ LCs, and 78.57% of triple negative DCs. Overall, NTSR1 is commonly overexpressed in both ductal and lobular breast carcinomas and is independent of the ER/PR/Her2 profiles of the tumors. The present data supports the potential benefit of developing NTSR1 blockers in the adjuvant therapy of breast carcinomas, particularly for those “triple negative” tumors.
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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".