Tumor Biological Feature and Its Association with Positive Surgical Margins and Apical Margins after Radical Prostatectomy in Non-Metastasis Prostate Cancer
Bibliographic record
Abstract
Purpose: We assessed clinical and tumor biological features and evaluated their association with positive surgical margins (PSMs) and positive apical margins (PAMs) variability after radical prostatectomy (RP) in men with non-metastasis prostate cancer (nmPCa) in our institute. Patients and methods: During the period from January 2013 to December 2017, clinical and pathological data were collected in 200 patients with nmPCa undergoing RP in the Urological department of Peking University Cancer Hospital & Institute. Surgical and apical margins were stated negative and positive, separately. A dichotomous logistic regression model was used to assess clinical and tumor biological features including age, total prostate volume (TPV), biopsy positive cores (BPC), D’Amico risk grade, tumor clinical stage, International Society of Urologic Pathology (ISUP) grade, tPSA, f/t and pelvic lymph nodes (PLN) invasion, and their association with PSMs and PAMs was evaluated. Results: Overall, men with nmPCa in this study had a high ISUP grade (58.5% grade 3–5), high risk grade (89.4%) and high clinical T stage (56% cT3-4). PSMs were detected in 106 patients; the rate of PSMs was 53%. Among patients with PSMs, 83% were PAMs; the overall rate of PAMs was 44%. Among patients with PSMs, high risk (OR, 1.439; p = 0.023), cT3a (OR, 1.737; p = 0.045), cT3b (OR, 5.286; p < 0.001), cT4 (OR, 6.12; p < 0.001), ISUP Grade 4 (OR, 2; p = 0.034) and Grade 5 (OR, 6.167; p < 0.001) and PLN invasion (OR, 6; p = 0.019) were strongly associated with PSMs using a dichotomous logistic regression univariable model, and high risk (OR, 6; p = 0.019), cT3a (OR, 5.116; p = 0.048), cT3b (OR, 9.194; p = 0.008), cT4 (OR, 4.58; p = 0.01), ISUP Grade 4 (OR, 7.04; p = 0.035), Grade 5 (OR, 16.514; p = 0.002) and PLN invasion (OR, 5.516; p = 0.03) were independently associated with PSMs by using multivariable analysis. Among patients with PAMs, cT3b (OR, 2.667; p = 0.004), cT4 (OR, 3; p = 0.034) and proportion of BPC (OR, 4.594; p = 0.027) were strongly associated with PAMs by using a dichotomous logistic regression univariable model, and cT3b (OR, 3.899; p = 0.02), cT4 (OR, 2.8; p = 0.041) and proportion of BPC (OR, 5.247; p = 0.04) were independently associated with PSMs by using multivariable analysis. Conclusions: Patients with nmPCa in our institute had high risk, high ISUP grade and high clinical stage. Tumor biological factors were strongly associated with PSMs and PAMs, and PLN invasion was independently associated with PSMs. The risk factors influenced the status of surgical margins, and apical margins were different.
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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 | 0.002 |
| 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) | 0.001 | 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 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".