Abstract 2260: CD151 immunoreactivity at diagnosis predicts early biochemical failure and metastasis in prostate cancer
Bibliographic record
Abstract
Abstract Background: One in seven men will be diagnosed with prostate cancer (PCa) during their lifetime and nearly 25% of those will die as a result of metastatic disease. Current diagnostic methods for PCa fail to predict which patients harbor occult metastases and although Epstein's criteria are useful in establishing relative risk, a significant number of patients diagnosed with “low risk” PCa develop metastasis. Clearly, there is a need for more accurate prognostic tools to determine which patients are at higher risk of suffering metastasis. We have previously demonstrated that tetraspanin CD151 plays a role in tumor cell motility and metastasis that is dependent upon an extracellular epitope recognized by the monoclonal antibody 1A5 (mAb 1A5). We surmised that this antibody might specifically recognize a pool of CD151 that is relevant for clinical metastasis. In this study, we evaluate the role of CD151 as detected by mAb 1A5 as a molecular prognostic factor for PCa disease progression and metastasis. Methods: Specimens from 99 patients who underwent radical prostatectomy (RP) between 1994-1998 with pathological pT2 and pT3 were assessed by immunohistochemistry using mAb 1A5 with a mean follow up of 12.1 years ± 1.6 SD. After deparaffinization, immunohistochemical analysis was carried out and protein expression was categorized as negative (score=0); or positive in weak (1), moderate (2) and strong (3). CD151 analysis was also performed in benign tissue around and away from the tumor as internal negative control. Additionally, 36 diagnostic biopsy specimens of patients who had documented metastasis during their follow up were assessed for CD151 immunoreactivity. A database of patient demographic factors, disease factors and relevant survival information was generated and correlated with disease-free progression and survival. Results: CD151 immunoreactivity was higher in malignant tissue than in either benign tissue around (p=0.01) or away from the tumor (p<0.01) in RP specimens. There was a strong correlation between CD151 expression in the prostatic luminal epithelium and time to biochemical recurrence (p=0.022) following RP. Importantly, there was a significant correlation between CD151 expression and metastasis (p<0.01) in these patients. In biopsies obtained at diagnosis, CD151 immunoreactivity was associated with overall metastasis (p<0.01), bone metastasis (p=0.01), and hormone resistance (p<0.01). Conclusions: Patients who were CD151 positive as assessed with mAb 1A5 had earlier biochemical failure and a significantly higher incidence of metastasis. In the RP group, these early failures likely represented a subset of patients that harbored unrecognized micrometastatic disease. The detection of CD151 adds significant prognostic value to the prediction of biochemical failure and shows considerable promise at initial biopsy to discriminate patients with higher risk of metastasis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2260. doi:10.1158/1538-7445.AM2011-2260
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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 | 0.000 |
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 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".