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Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following Prostatectomy.

ABSTRACT: Prostate cancer is the most commonly diagnosed cancer in men, accounting for 27% of the new male cancer diagnoses in 2022. If organ-confined, removal of the prostate through radical prostatectomy is considered curative; however, distant metastases may occur, resulting in a poor patient prognosis. This study sought to determine whether quantitative pathomic features of prostate cancer differ in patients who biochemically experience biological recurrence after surgery. Whole-mount prostate histology from 78 patients was analyzed for this study. In total, 614 slides were hematoxylin and eosin stained and digitized to produce whole slide images (WSI). Regions of differing Gleason patterns were digitally annotated by a genitourinary fellowship-trained pathologist, and high-resolution tiles were extracted from each annotated region of interest for further analysis. Individual glands within the prostate were identified using automated image processing algorithms, and histomorphometric features were calculated on a per-tile basis and across WSI and averaged by patients. Tiles were organized into cancer and benign tissues. Logistic regression models were fit to assess the predictive value of the calculated pathomic features across tile groups and WSI; additionally, models using clinical information were used for comparisons. Logistic regression classified each pathomic feature model at accuracies >80% with areas under the curve of 0.82, 0.76, 0.75, and 0.72 for all tiles, cancer only, noncancer only, and across WSI. This was comparable with standard clinical information, Gleason Grade Groups, and CAPRA score, which achieved similar accuracies but areas under the curve of 0.80, 0.77, and 0.70, respectively. This study demonstrates that the use of quantitative pathomic features calculated from digital histology of prostate cancer may provide clinicians with additional information beyond the traditional qualitative pathologist assessment. Further research is warranted to determine possible inclusion in treatment guidance.

SUBMITTER: Duenweg SR

PROVIDER: S-EPMC10872376 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following Prostatectomy.

Duenweg Savannah R SR Brehler Michael M Lowman Allison K AK Bobholz Samuel A SA Kyereme Fitzgerald F Winiarz Aleksandra A Nath Biprojit B Iczkowski Kenneth A KA Jacobsohn Kenneth M KM LaViolette Peter S PS

Laboratory investigation; a journal of technical methods and pathology 20231026 12

Prostate cancer is the most commonly diagnosed cancer in men, accounting for 27% of the new male cancer diagnoses in 2022. If organ-confined, removal of the prostate through radical prostatectomy is considered curative; however, distant metastases may occur, resulting in a poor patient prognosis. This study sought to determine whether quantitative pathomic features of prostate cancer differ in patients who biochemically experience biological recurrence after surgery. Whole-mount prostate histolo ...[more]

PMID: 37898290

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Project description:BACKGROUND:Gleason scoring represents the standard for diagnosis of prostate cancer (PCa) and assessment of prognosis following radical prostatectomy (RP), but it does not account for patterns in neighboring normal-appearing benign fields that may be predictive of disease recurrence. OBJECTIVE:To investigate (1) whether computer-extracted image features within tumor-adjacent benign regions on digital pathology images could predict recurrence in PCa patients after surgery and (2) whether a tumor plus adjacent benign signature (TABS) could better predict recurrence compared with Gleason score or features from benign or cancerous regions alone. DESIGN, SETTING, AND PARTICIPANTS:We studied 140 tissue microarray cores (0.6mm each) from 70 PCa patients following surgery between 2000 and 2004 with up to 14 yr of follow-up. Overall, 22 patients experienced recurrence (biochemical [prostate-specific antigen], local, or distant recurrence and cancer death) and 48 did not. INTERVENTION:RP was performed in all patients. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS:The top 10 features identified as most predictive of recurrence within both the benign and cancerous regions were combined into a 10-feature signature (TABS). Computer-extracted nuclear shape and architectural features from cancerous regions, adjacent benign fields, and TABS were evaluated via random forest classification accuracy and Kaplan-Meier survival analysis. RESULTS AND LIMITATIONS:Tumor-adjacent benign field features were predictive of recurrence (area under the receiver operating characteristic curve [AUC]: 0.72). Tumor-field nuclear shape descriptors and benign-field local nuclear arrangement were the predominant features found for TABS (AUC: 0.77). Combining TABS with Gleason sum further improved identification of recurrence (AUC: 0.81). All experiments were performed using threefold cross-validation without independent test set validation. CONCLUSIONS:Computer-extracted nuclear features within cancerous and benign regions predict recurrence following RP. Furthermore, TABS was shown to provide added value to common predictors including Gleason sum and Kattan and Stephenson nomograms. PATIENT SUMMARY:Future studies may benefit from evaluation of benign regions proximal to the tumor on surgically excised prostate cancer tissue for assessing risk of disease recurrence.

Project description:Several retrospective and a few prospective studies have shown that metastasis-directed therapy (MDT) could delay clinical progression and postpone the initiation of systemic treatment in oligorecurrent prostate cancer (PCa) patients. However, these endpoints are strongly influenced by variables such as concomitant use of androgen deprivation therapy (ADT) and follow-up imaging protocols. The aim of this manuscript was to assess palliative ADT- and metastatic castration-resistant prostate cancer (mCRPC)-free survival as long-term oncological outcomes in oligorecurrent PCa treated by MDT. We retrospectively identified consecutive post-prostatectomy oligorecurrent PCa patients treated by MDT (salvage lymphadenectomy, radiotherapy, or metastasectomy) at our tertiary referral center. Patients were eligible for inclusion if they developed recurrence following radical prostatectomy, had ?5 metastatic lesions on imaging and had a serum testosterone >50 ng/dL or a testosterone suppression therapy-free interval of >2 years prior to the first MDT as an assumption of recovered serum testosterone (if no testosterone measurement available). Patients with castration-resistant or synchronous oligometastatic PCa at the time of first MDT were excluded. Repeated MDTs were allowed, as well as a period of concomitant ADT. Kaplan-Meier analyses were performed to assess palliative ADT-free and mCRPC-free survival. We identified 191 eligible patients who underwent MDT. Median follow-up from first MDT until last follow-up or death was 45 months (IQR 27-70; mean 51 months). Estimated median palliative-ADT free survival was 66 months (95% CI 58-164) and estimated median mCRPC-free survival was not reached (mean 117 months, 95% CI 103-132). In total, 314 MDTs were performed and 25 patients (13%) received ?3 MDTs. This study demonstrated that (repeated) MDT is feasible and holds promise in terms of palliative ADT-free and mCRPC-free survival for patients with oligorecurrent PCa. However, these findings should be confirmed in prospective randomized controlled trials.

Project description:BackgroundThe impact of senior age on prostate cancer (PCa) oncological outcomes following radical prostatectomy (RP) is controversial, and further clinical factors could help stratifying risk categories in these patients.ObjectiveWe tested the association between endogenous testosterone (ET) and risk of PCa progression in elderly patients treated with RP.DesignData from PCa patients treated with RP at a single tertiary referral center, between November 2014 and December 2019 with available follow-up, were retrospectively evaluated.MethodsPreoperative ET (classified as normal if >350 ng/dl) was measured for each patient. Patients were divided according to a cut-off age of 70 years. Unfavorable pathology consisted of International Society of Urologic Pathology (ISUP) grade group >2, seminal vesicle, and pelvic lymph node invasion. Cox regression models tested the association between clinical/pathological tumor features and risk of PCa progression in each age subgroup.ResultsOf 651 included patients, 190 (29.2%) were elderly. Abnormal ET levels were detected in 195 (30.0%) cases. Compared with their younger counterparts, elderly patients were more likely to have pathological ISUP grade group >2 (49.0% versus 63.2%). Disease progression occurred in 108 (16.6%) cases with no statistically significant difference between age subgroups. Among the elderly, clinically progressing patients were more likely to have normal ET levels (77.4% versus 67.9%) and unfavorable tumor grades (90.3% versus 57.9%) than patients who did not progress. In multivariable Cox regression models, normal ET [hazard ratio (HR) = 3.29; 95% confidence interval (CI) = 1.27-8.55; p = 0.014] and pathological ISUP grade group >2 (HR = 5.62; 95% CI = 1.60-19.79; p = 0.007) were independent predictors of PCa progression. On clinical multivariable models, elderly patients were more likely to progress for normal ET levels (HR = 3.42; 95% CI = 1.34-8.70; p = 0.010), independently by belonging to high-risk category. Elderly patients with normal ET progressed more rapidly than those with abnormal ET.ConclusionIn elderly patients, normal preoperative ET independently predicted PCa progression. Elderly patients with normal ET progressed more rapidly than controls, suggesting that longer exposure time to high-grade tumors could adversely impact sequential cancer mutations, where normal ET is not anymore protective on disease progression.

Dataset Information

Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following Prostatectomy.

Publications

Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following Prostatectomy.

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