Prolactin-Inducible Protein: From Breast Cancer Biomarker to Immune Modulator—Novel Insights from Knockout Mice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The propensity for breast cancers to elicit immune responses in patients is well established. The accumulation of tumor infiltrating lymphocytes within the primary breast tumor has been linked to better prognosis and better response to therapy. The prolactin-inducible protein (PIP) is a 15 kD protein that is expressed under physiological conditions of the breast and is regarded as a marker of mammary differentiation. While highly expressed under pathological conditions of the mammary gland, including breast cancers, PIP is expressed in very few other cancers. Although the function of PIP is not well elucidated, numerous studies suggest that its primary role may be related to host defense and immune modulation. However, evidence to show a direct link between PIP and the immune response has been lacking. In this review, we discuss our recent work with Pip-deficient mice, linking PIP not only to a role in innate immunity but for the first time, providing evidence for a role in cell-mediated immunity. These functional studies in Pip null mice lend new insight into the role of PIP in immunity and suggest that PIP may play a similar immune-regulatory role in breast cancer.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it