BIOM-07. EXPRESSION OF ANDROGEN RECEPTOR AND PROGRAMMED DEATH-LIGAND 1 IN BREAST-TO-BRAIN-METASTASES.
Bibliographic record
Abstract
Abstract INTRODUCTION Therapies targeting androgen receptors (AR) and programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) have demonstrated intracranial activity. In this study, we analyzed the expression of AR and PD-L1 in breast cancer brain metastases (BrM) to identify patients who may benefit from anti-androgenic or anti-PD-1/PD-L1 therapies. METHODS Consecutive BrM resected in our institution (July 1999-June 2013) that were signed out as breast origin were identified and included from the Anatomic Pathology departmental database. A tissue microarray of BrMs was studied by immunohistochemistry for AR, PD-L1, ER, PR and HER2 (SP107, SP142, SP1, IE2, 4B5; Ventana Medical Systems). HER2 gene amplification was determined by INFORM HER2 DNA and Chromosome 17 (Ventana Medical Systems). Immunohistochemistry was used as a surrogate to determine intrinsic subtypes. RESULTS Among 61 breast cancer BrM with available tissue blocks, AR was expressed in 38 (62%) cases and PD-L1 was expressed in 9 (15%) cases. Among BrMs of luminal A subtype (ER+PR+/-HER2-Ki67< 16%; n=2), 50% expressed AR and none expressed PD-L1. Within the luminal B subtype (ER+/PR+/-), all 15 HER2+ BrM expressed AR (100%), while only 1 expressed PD-L1 (7%). Among HER2- luminal B subtype BrMs (n=16), 50% and 12.5% of cases expressed AR and PD-L1, respectively. In BrM of HER2+ subtype (ER-/PR-; n=14), 71% expressed AR and 14% expressed PD-L1. The frequency of AR+ (30%) and PD-L1+ (30%) cases was equivalent in triple negative BrM (ER-/PR-/HER2-; n=14). CONCLUSION Almost two-thirds of breast cancer BrM expressed AR, while only 15% expressed PD-L1. HER2+ luminal B and HER2+ subtypes were most likely to be AR+. Meanwhile, PD-L1 expression was predominant in the triple negative subgroup. Our data suggests that certain subtypes of breast cancer BrM are more likely to be AR+ or PD-L1+; intracranial efficacy of AR-antagonists and immunotherapy warrants investigation for breast cancer BrM, particularly in biomarker-positive subtypes.
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 | 0.000 |
| 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) | 0.005 | 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".