A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI

ABSTRACT Purpose: To create a nomogram to predict the absence of clinically significant prostate cancer (CSPCa) in males with non-suspicion multiparametric magnetic resonance imaging (mpMRI) undergoing prostate biopsy (PBx). Materials and Methods: We identified consecutive patients who underwent 3T mpMRI followed by PBx for suspicion of PCa or surveillance follow-up. All patients had Prostate Imaging Reporting and Data System score 1-2 (negative mpMRI). CSPCa was defined as Grade Group ≥2. Multivariate logistic regression analysis was performed via backward elimination. Discrimination was evaluated with area under the receiver operating characteristic (AUROC). Internal validation with 1,000x bootstrapping for estimating the optimism corrected AUROC. Results: Total 327 patients met inclusion criteria. The median (IQR) age and PSA density (PSAD) were 64 years (58-70) and 0.10 ng/mL2 (0.07-0.15), respectively. Biopsy history was as follows: 117 (36%) males were PBx-naive, 130 (40%) had previous negative PBx and 80 (24%) had previous positive PBx. The majority were White (65%); 6% of males self-reported Black. Overall, 44 (13%) patients were diagnosed with CSPCa on PBx. Black race, history of previous negative PBx and PSAD ≥0.15ng/mL2 were independent predictors for CSPCa on PBx and were included in the nomogram. The AUROC of the nomogram was 0.78 and the optimism corrected AUROC was 0.75. Conclusions: Our nomogram facilitates evaluating individual probability of CSPCa on PBx in males with PIRADS 1-2 mpMRI and may be used to identify those in whom PBx may be safely avoided. Black males have increased risk of CSPCa on PBx, even in the setting of PIRADS 1-2 mpMRI

PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation.

Prostate Cancer is one of the most frequently occurring cancers in men, with a low survival rate if not early diagnosed. PI-RADS reading has a high false positive rate, thus increasing the diagnostic incurred costs and patient discomfort. Deep learning (DL) models achieve a high segmentation performance, although require a large model size and complexity. Also, DL models lack of feature interpretability and are perceived as "black-boxes" in the medical field. PCa-RadHop pipeline is proposed in this work, aiming to provide a more transparent feature extraction process using a linear model. It adopts the recently introduced Green Learning (GL) paradigm, which offers a small model size and low complexity. PCa-RadHop consists of two stages: Stage-1 extracts data-driven radiomics features from the bi-parametric Magnetic Resonance Imaging (bp-MRI) input and predicts an initial heatmap. To reduce the false positive rate, a subsequent stage-2 is introduced to refine the predictions by including more contextual information and radiomics features from each already detected Region of Interest (ROI). Experiments on the largest publicly available dataset, PI-CAI, show a competitive performance standing of the proposed method among other deep DL models, achieving an area under the curve (AUC) of 0.807 among a cohort of 1,000 patients. Moreover, PCa-RadHop maintains orders of magnitude smaller model size and complexity.

Generative artificial intelligence in surgery.

Generative artificial intelligence is able to collect, extract, digest, and generate information in an understandable way for humans. As the first surgical applications of generative artificial intelligence are applied, this perspective paper aims to provide a comprehensive overview of current applications and future perspectives for the application of generative artificial intelligence in surgery, from preoperative planning to training. Generative artificial intelligence can be used before surgery for planning and decision support by extracting patient information and providing patients with information and simulation regarding the procedure. Intraoperatively, generative artificial intelligence can document data that is normally not captured as intraoperative adverse events or provide information to help decision-making. Postoperatively, GAIs can help with patient discharge and follow-up. The ability to provide real-time feedback and store it for later review is an important capability of GAIs. GAI applications are emerging as highly specialized, task-specific tools for tasks such as data extraction, synthesis, presentation, and communication within the realm of surgery. GAIs have the potential to play a pivotal role in facilitating interaction between surgeons and artificial intelligence.

Blood-based liquid biopsy: A promising noninvasive test in diagnosis, surveillance, and prognosis of patients with upper tract urothelial carcinoma.

OBJECTIVES: To assess the efficacy of blood-based liquid biopsy in the diagnosis, surveillance, and prognosis of upper tract urothelial carcinoma (UTUC). METHODS AND MATERIALS: In this prospective study, peripheral blood samples were collected from patients with primary UTUC before surgery with curative intent and follow-up visits at University of Southern California between May 2021 and September 2022. The samples were analyzed using the third-generation comprehensive high-definition single-cell assay (HDSCA3.0) to detect rare events, including circulating tumor cells (CTCs) and oncosomes, based on the immunofluorescence signals of DAPI (D), cytokeratin (CK), CD45/CD31 (CD), and vimentin (V). The findings of pre-surgery liquid biopsies were compared with those of blood samples from normal donors (NDs) and matched follow-up liquid biopsies. The association between liquid biopsy findings and clinical data, including recurrence-free survival (RFS), was also assessed. RESULTS: Twenty-eight patients with UTUC were included, of whom 21 had follow-up samples. Significant differences in specific rare analytes were detected in the preoperative samples compared to the NDs. In the post- vs. presurgery matched analysis, a significant decrease was detected in total-, CK-, and CK|V oncosomes, as well as in D-, D|V-, and D|V|CD cells. With a median follow-up of 11 months, 8 patients had disease recurrence. Survival analysis demonstrated that patients with >1.95 preoperative CK|V oncosomes (p = 0.020) and those with >4.18 D|CK|V cells (p = 0.050) had worse RFS compared to other patients. CONCLUSIONS: This study demonstrated promising initial evidence for the biomarker role of CTCs and oncosomes in the diagnosis and surveillance of patients with UTUC.

A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI

PURPOSE: To create a nomogram to predict the absence of clinically significant prostate cancer (CSPCa) in males with non-suspicion multiparametric magnetic resonance imaging (mpMRI) undergoing prostate biopsy (PBx). MATERIALS AND METHODS: We identified consecutive patients who underwent 3T mpMRI followed by PBx for suspicion of PCa or surveillance follow-up. All patients had Prostate Imaging Reporting and Data System score 1-2 (negative mpMRI). CSPCa was defined as Grade Group ≥2. Multivariate logistic regression analysis was performed via backward elimination. Discrimination was evaluated with area under the receiver operating characteristic (AUROC). Internal validation with 1,000x bootstrapping for estimating the optimism corrected AUROC. RESULTS: Total 327 patients met inclusion criteria. The median (IQR) age and PSA density (PSAD) were 64 years (58-70) and 0.10 ng/mL2 (0.07-0.15), respectively. Biopsy history was as follows: 117 (36%) males were PBx-naive, 130 (40%) had previous negative PBx and 80 (24%) had previous positive PBx. The majority were White (65%); 6% of males self-reported Black. Overall, 44 (13%) patients were diagnosed with CSPCa on PBx. Black race, history of previous negative PBx and PSAD ≥0.15ng/mL2 were independent predictors for CSPCa on PBx and were included in the nomogram. The AUROC of the nomogram was 0.78 and the optimism corrected AUROC was 0.75. CONCLUSIONS: Our nomogram facilitates evaluating individual probability of CSPCa on PBx in males with PIRADS 1-2 mpMRI and may be used to identify those in whom PBx may be safely avoided. Black males have increased risk of CSPCa on PBx, even in the setting of PIRADS 1-2 mpMRI.

Radiomics Correlation to CD68+ Tumor-Associated Macrophages in Clear Cell Renal Cell Carcinoma.

INTRODUCTION: Renal cell carcinoma (RCC) is the ninth most common cancer worldwide, with clear cell RCC (ccRCC) being the most frequent histological subtype. The tumor immune microenvironment (TIME) of ccRCC is an important factor to guide treatment, but current assessments are tissue-based, which can be time-consuming and resource-intensive. In this study, we used radiomics extracted from clinically performed computed tomography (CT) as a noninvasive surrogate for CD68 tumor-associated macrophages (TAMs), a significant component of ccRCC TIME. METHODS: TAM population was measured by CD68+/PanCK+ ratio and tumor-TAM clustering was measured by normalized K function calculated from multiplex immunofluorescence (mIF). A total of 1,076 regions on mIF slides from 78 patients were included. Radiomic features were extracted from multiphase CT of the ccRCC tumor. Statistical machine learning models, including random forest, Adaptive Boosting, and ElasticNet, were used to predict TAM population and tumor-TAM clustering. RESULTS: The best models achieved an area under the ROC curve of 0.81 (95% CI: [0.69, 0.92]) for TAM population and 0.77 (95% CI: [0.66, 0.88]) for tumor-TAM clustering, respectively. CONCLUSION: Our study demonstrates the potential of using CT radiomics-derived imaging markers as a surrogate for assessment of TAM in ccRCC for real-time treatment response monitoring and patient selection for targeted therapies and immunotherapies.

Robotic Bladder Autotransplantation: Preclinical Studies in Preparation for First-in-human Bladder Transplant.

PURPOSE: Human urinary bladder transplantation has never been performed. From a technical standpoint, challenges include the complex deep pelvic vascular anatomy, limited intraoperative visualization, and high procedural complexity. In preparation for a first-in-human clinical trial, we report preclinical studies to develop the technique of robotic retrieval and autotransplantation of vascularized composite bladder allograft. MATERIALS AND METHODS: Institutional Animal Care and Use Committee, Institutional Review Board, and UNOS (United Network for Organ Sharing) approvals were obtained, and IDEAL (Idea, Development, Exploration, Assessment, Long-term Study) Reporting Guidelines were followed. Robotic vascularized composite bladder allograft recovery, back-table graft preparation, and robotic autotransplantation were performed in 3 vascularized model settings: living porcine (n=3), pulsatile human cadavers (n=2), and heart-beating brain-dead deceased research human donors (n=5). Our primary objective was to develop a reproducible technique for robotic vascularized composite bladder allograft transplantation. Technical success was defined by adequate, sustained vascularized composite bladder allograft reperfusion. Secondary objectives were intraoperative parameters, including operative time, graft ischemia time, and blood loss. RESULTS: Successful robotic vascularized composite bladder allograft autotransplantation was achieved in 2 porcine, 1 cadaver, and 3 brain-dead research donors. In the heart-beating research donors, console time decreased with successive surgeries, and visual inspection revealed healthy revascularized autografts with prompt, global indocyanine green immunofluorescence uptake. In 1 heart-beating donor who was hemodynamically maintained for 12 hours postoperatively, reinspection confirmed excellent maintained global vascularized composite bladder allograft vascularity and bladder mucosal integrity. CONCLUSIONS: To our knowledge, the first preclinical experience of bladder autotransplantation in vascularized models is reported, including robotic vascularized composite bladder allograft recovery, back-table reconstruction, and autotransplantation. This experience represents the essential preclinical work required to build toward the first-in-human trial of bladder transplantation, performed under a UNOS-approved genitourinary vascularized composite bladder allograft program (NCT No. 05462561).

SETD2 Deficiency Confers Sensitivity to Dual Inhibition of DNA Methylation and PARP in Kidney Cancer.

SETD2 deficiency alters the epigenetic landscape by causing depletion of H3K36me3 and plays an important role in diverse forms of cancer, most notably in aggressive and metastatic clear-cell renal cell carcinomas (ccRCC). Development of an effective treatment scheme targeting SETD2-compromised cancer is urgently needed. Considering that SETD2 is involved in DNA methylation and DNA repair, a combination treatment approach using DNA hypomethylating agents (HMA) and PARP inhibitors (PARPi) could have strong antitumor activity in SETD2-deficient kidney cancer. We tested the effects of the DNA HMA 5-aza-2'-dexoxydytidine (DAC), the PARPi talazoparib (BMN-673), and both in combination in human ccRCC models with or without SETD2 deficiency. The combination treatment of DAC and BMN-673 synergistically increased cytotoxicity in vitro in SETD2-deficient ccRCC cell lines but not in SETD2-proficient cell lines. DAC and BMN-673 led to apoptotic induction, increased DNA damage, insufficient DNA damage repair, and increased genomic instability. Furthermore, the combination treatment elevated immune responses, upregulated STING, and enhanced viral mimicry by activating transposable elements. Finally, the combination effectively suppressed the growth of SETD2-deficient ccRCC in in vivo mouse models. Together, these findings indicate that combining HMA and PARPi is a promising potential therapeutic strategy for treating SETD2-compromised ccRCC. SIGNIFICANCE: SETD2 deficiency creates a vulnerable epigenetic status that is targetable using a DNA hypomethylating agent and PARP inhibitor combination to suppress renal cell carcinoma, identifying a precision medicine-based approach for SETD2-compromised cancers.

Transperineal vs transrectal magnetic resonance and ultrasound image fusion prostate biopsy: a pair-matched comparison.

The objective of this study was to compare transperineal (TP) versus transrectal (TR) magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) fusion prostate biopsy (PBx). Consecutive men who underwent prostate MRI followed by a systematic biopsy. Additional target biopsies were performed from Prostate Imaging Reporting & Data System (PIRADS) 3-5 lesions. Men who underwent TP PBx were matched 1:2 with a synchronous cohort undergoing TR PBx by PSA, Prostate volume (PV) and PIRADS score. Endpoint of the study was the detection of clinically significant prostate cancer (CSPCa; Grade Group ≥ 2). Univariate and multivariable analyses were performed. Results were considered statistically significant if p < 0.05. Overall, 504 patients met the inclusion criteria. A total of 168 TP PBx were pair-matched to 336 TR PBx patients. Baseline demographics and imaging characteristics were similar between the groups. Per patient, the CSPCa detection was 2.1% vs 6.3% (p = 0.4) for PIRADS 1-2, and 59% vs 60% (p = 0.9) for PIRADS 3-5, on TP vs TR PBx, respectively. Per lesion, the CSPCa detection for PIRADS 3 (21% vs 16%; p = 0.4), PIRADS 4 (51% vs 44%; p = 0.8) and PIRADS 5 (76% vs 84%; p = 0.3) was similar for TP vs TR PBx, respectively. However, the TP PBx showed a longer maximum cancer core length (11 vs 9 mm; p = 0.02) and higher cancer core involvement (83% vs 65%; p < 0.001) than TR PBx. Independent predictors for CSPCa detection were age, PSA, PV, abnormal digital rectal examination findings, and PIRADS 3-5. Our study demonstrated transperineal MRI/TRUS fusion PBx provides similar CSPCa detection, with larger prostate cancer core length and percent of core involvement, than transrectal PBx.

Robot Partial Prostatectomy for Anterior Cancer: Long-term Functional and Oncological Outcomes at 7 Years.

Partial prostatectomy has been described as an alternative to focal ablation therapy for the management of localized low- to intermediate-risk prostate cancer. This report aims to describe the long-term outcomes in a series of 28 men (2000-2022) who underwent robotic-assisted anterior partial prostatectomy (APP) for anteriorly located tumors entirely or partially within the anterior fibromuscular stroma. The median follow-up is 7 yr (interquartile range [IQR]: 4.2-8). The median prostate-specific antigen (PSA) before APP was 9.6 (6-11). Continence remained uninterrupted in 92% of patients. Erectile function without drug remained uninterrupted in 69%. The median nadir PSA after APP was 0.36 ng/ml (IQR: 0.25-0.60). Cancer recurrence at biopsies at the margins of the primary cancer resected area in case of a PSA elevation was observed in eight patients and led to salvage completion robotic radical prostatectomy at a median time of 3.25 yr (IQR: 2.4-6). Freedom from post-APP cancer recurrence at 7 yr was 62.7% (35.0-81.3%). Pre-APP tumor volume at magnetic resonance imaging (MRI) and volume of grade 4/5 were predictive of recurrence. Freedom from biochemical recurrence after completion radical prostatectomy at 7 yr was 94.7% (68.1-99.3%). All 28 patients are alive. No one had systemic treatment or metastases. These results confirm our initial report of robotic APP with good functional results and acceptable oncological results. The use of the inclusion criteria of pre-APP tumor volume at MRI <3 cc may decrease the risk of recurrence. Patient summary: In this report, we looked at outcomes for infrequent cases of anterior prostate cancer treated with anterior partial prostatectomy, an uncommon surgical procedure as an alternative to in situ focal ablation therapy, to better preserve functional outcomes as compared with whole gland therapy. We found that functional outcomes of uninterrupted continence and erectile function were good. Out of 28 patients, eight had recurrence in the remaining prostate and were treated with a second surgical procedure, radical prostatectomy, which was feasible. We conclude that this new technique is feasible with good functional results and acceptable oncological results, which can be shared with the patients.

Radiogenomic Associations Clear Cell Renal Cell Carcinoma: An Exploratory Study.

INTRODUCTION: This study investigates how quantitative texture analysis can be used to non-invasively identify novel radiogenomic correlations with clear cell renal cell carcinoma (ccRCC) biomarkers. METHODS: The Cancer Genome Atlas-Kidney Renal Clear Cell Carcinoma open-source database was used to identify 190 sets of patient genomic data that had corresponding multiphase contrast-enhanced CT images in The Cancer Imaging Archive. 2,824 radiomic features spanning fifteen texture families were extracted from CT images using a custom-built MATLAB software package. Robust radiomic features with strong inter-scanner reproducibility were selected. Random forest, AdaBoost, and elastic net machine learning (ML) algorithms evaluated the ability of the selected radiomic features to predict the presence of 12 clinically relevant molecular biomarkers identified from the literature. ML analysis was repeated with cases stratified by stage (I/II vs. III/IV) and grade (1/2 vs. 3/4). 10-fold cross validation was used to evaluate model performance. RESULTS: Before stratification by tumor grade and stage, radiomics predicted the presence of several biomarkers with weak discrimination (AUC 0.60-0.68). Once stratified, radiomics predicted KDM5C, SETD2, PBRM1, and mTOR mutation status with acceptable to excellent predictive discrimination (AUC ranges from 0.70 to 0.86). CONCLUSIONS: Radiomic texture analysis can potentially identify a variety of clinically relevant biomarkers in patients with ccRCC and may have a prognostic implication.

Partial or radical nephrectomy for complex renal mass: a comparative analysis of oncological outcomes and complications from the ROSULA (Robotic Surgery for Large Renal Mass) Collaborative Group.

PURPOSE: To compare outcomes of robotic-assisted partial nephrectomy (RAPN) and minimally invasive radical nephrectomy (MIS-RN) for complex renal masses (CRM). METHODS: We conducted a retrospective multicenter analysis of CRM patients who underwent MIS-RN and RAPN. CRM was defined as RENAL score 10-12. Primary outcome was overall survival (OS). Secondary outcomes were cancer-specific survival (CSS), recurrence, and complications. Multivariable analysis (MVA) and Kaplan-Meier Analysis (KMA) were used to analyze functional and survival outcomes for RN vs. PN by pathological stage. RESULTS: 926 patients were analyzed (MIS-RN = 437/RAPN = 489; median follow-up 24.0 months). MVA demonstrated lack of transfusion (HR = 1.63, p = 0.005), low-grade (HR = 1.18, p = 0.018) and smaller tumor size (HR = 1.05, p < 0.001) were associated with OS. Younger age (HR = 1.01, p = 0.017), high-grade (HR = 1.18, p = 0.017), smaller tumor size (HR = 1.05, p < 0.001), and lack of transfusion (HR = 1.39, p = 0.038) were associated with CSS. Increasing tumor size (HR = 1.18, p < 0.001), high-grade (HR = 3.21, p < 0.001), and increasing age (HR = 1.02, p = 0.009) were independent risk factors for recurrence. Type of surgery was not associated with major complications (p = 0.094). For KMA of MIS-RN vs. RAPN for pT1, pT2 and pT3, 5-year OS was 85% vs. 88% (p = 0.078); 82% vs. 80% (p = 0.442) and 84% vs. 83% (p = 0.863), respectively. 5-year CSS was 98% for both procedures (p = 0.473); 94% vs. 92% (p = 0.735) and 91% vs. 90% (p = 0.581). 5-year non-CSS was 87% vs. 93% (p = 0.107); 87% for pT2 (p = 0.485) and 92% for pT3 for both procedures (p = 0.403). CONCLUSION: RAPN in CRM is not associated with increased risk of complications or worsened oncological outcomes when compared to MIS-RN and may be preferred when clinically indicated.

Recommendations for Intraoperative Adverse Events Data Collection in Clinical Studies and Study Protocols. An ICARUS Global Surgical Collaboration Study.

Introduction: Intraoperative adverse events (iAEs) occur and have the potential to impact the postoperative course. However, iAEs are underreported and are not routinely collected in the contemporary surgical literature. There is no widely utilized system for the collection of essential aspects of iAEs, and there is no established database for the standardization and dissemination of this data that likely have implications for outcomes and patient safety. The Intraoperative Complication Assessment and Reporting with Universal Standards (ICARUS) Global Surgical Collaboration initiated a global effort to address these shortcomings, and the establishment of an adverse event data collection system is an essential step. In this study, we present the core-set variables for collecting iAEs that were based on the globally validated ICARUS criteria for surgical/interventional and anesthesiologic intraoperative adverse event collection and reporting. Material and Methods: This article includes three tools to capture the essential aspects of iAEs. The core-set variables were developed from the globally validated ICARUS criteria for reporting iAEs (item 1). Next, the summary table was developed to guide researchers in summarizing the accumulated iAE data in item 1 (item 2). Finally, this article includes examples of the method and results sections to include in a manuscript reporting iAE data (item 3). Then, 5 scenarios demonstrating best practices for completing items 1-3 were presented both in prose and in a video produced by the ICARUS collaboration. Dissemination: This article provides the surgical community with the tools for collecting essential iAE data. The ICARUS collaboration has already published the 13 criteria for reporting surgical adverse events, but this article is unique and essential as it actually provides the tools for iAE collection. The study team plans to collect feedback for future directions of adverse event collection and reporting. Highlights: This article represents a novel, fully-encompassing system for the data collection of intraoperative adverse events.The presented core-set variables for reporting intraoperative adverse events are not based solely on our opinion, but rather are synthesized from the globally validated ICARUS criteria for reporting intraoperative adverse events.Together, the included text, figures, and ICARUS collaboration-produced video should equip any surgeon, anesthesiologist, or nurse with the tools to properly collect intraoperative adverse event data.Future directions include translation of this article to allow for the widest possible adoption of this important collection system.

Is Artificial Intelligence Replacing Our Radiology Stars? Not Yet!

Artificial intelligence (AI) is here to stay and will change health care as we know it. The availability of big data and the increasing numbers of AI algorithms approved by the US Food and Drug Administration together will help in improving the quality of care for patients and in overcoming human fatigue barriers. In oncology practice, patients and providers rely on the interpretation of radiologists when making clinical decisions; however, there is considerable variability among readers, and in particular for prostate imaging. AI represents an emerging solution to this problem, for which it can provide a much-needed form of standardization. The diagnostic performance of AI alone in comparison to a combination of an AI framework and radiologist assessment for evaluation of prostate imaging has yet to be explored. Here, we compare the performance of radiologists alone versus a combination of radiologists aided by a modern computer-aided diagnosis (CAD) AI system. We show that the radiologist-CAD combination demonstrates superior sensitivity and specificity in comparison to both radiologists alone and AI alone. Our findings demonstrate that a radiologist + AI combination could perform best for detection of prostate cancer lesions. A hybrid technology-human system could leverage the benefits of AI in improving radiologist performance while also reducing physician workload, minimizing burnout, and enhancing the quality of patient care. Patient summary: Our report demonstrates the potential of artificial intelligence (AI) for improving the interpretation of prostate scans. A combination of AI and evaluation by a radiologist has the best performance in determining the severity of prostate cancer. A hybrid system that uses both AI and radiologists could maximize the quality of care for patients while reducing physician workload and burnout.

EphrinB2 Inhibition and Pembrolizumab in Metastatic Urothelial Carcinoma.

PURPOSE: Patients with metastatic urothelial carcinoma have poor prognosis after failure of standard first-line chemotherapy. Immune check point programmed death 1-programmed death ligand 1 antibodies have low response rates and thus there exists a major unmet need. MATERIALS AND METHODS: In this phase II trial, patients with metastatic urothelial carcinoma that recurred or progressed after platinum-based chemotherapy received soluble EphB4-human serum albumin (sEphB4-HSA) in combination with pembrolizumab. The primary end points were tolerability and overall survival (OS). The secondary end points were progression-free survival (PFS), objective response rate (ORR), duration of response, and toxicity. The expression of sEphB4-HSA target EphrinB2 was correlated with outcomes. RESULTS: Seventy patients were enrolled. The median follow up was 22.9 months (range, 1.3-54.7). The regimen had acceptable toxicity. In the intent-to-treat analysis (N = 70), the median OS was 14.6 months (95% CI, 9.2 to 21.5). Twenty-six (37%) patients had an objective response (95% CI, 26 to 48). The median PFS was 4.1 (95% CI, 1.5 to 5.7) months. Forty-six (66%) patients expressed EphrinB2, and among them, the median OS was 21.5 months (95% CI, 12.4 to not reached), the ORR was 52% (95% CI, 37 to 67), including a complete response rate of 24% (11 of 46; 95% CI, 12 to 36). The median PFS was 5.7 (95% CI, 2.7 to 27.9) months. Response was maintained at 6, 12, and 24 months in 88%, 74%, and 69% of the patients, respectively. CONCLUSION: The combination of sEphB4-HSA and pembrolizumab appears synergistic with improved OS and ORR compared with historical data for programmed death 1/programmed death ligand 1 monotherapy.

Robotic post-chemotherapy retroperitoneal lymph node dissection for testicular cancer: A multicenter collaborative study.

OBJECTIVES: To evaluate the perioperative and oncological/functional outcomes of robotic post-chemotherapy retroperitoneal lymph node dissection for testicular cancer. METHODS AND MATERIALS: In this retrospective study, we included patients who underwent robotic post-chemotherapy retroperitoneal lymph node dissection at 7 academic centers between 2011 and 2021. Patients' characteristics, perioperative findings, as well as oncological and functional outcomes are reviewed. Relationships with the main outcome (90-day complications) were analyzed using multivariable logistic regression. RESULTS: A total of 90 patients with a median (IQR) age of 30 (25-37) years were included. The main primary histologic type was non-seminomatous germ cell tumor (89%). Seven patients (8%) were electively converted to open. Median estimated blood loss, operative time, and length of hospital stay were 150 ml, 5.6 hours, and 2 days, respectively. Final pathology revealed teratoma in 49 (55%), necrosis/fibrosis in 29 (32%), and viable germ cell tumor in 12 (13%) patients. The 90-day complication rate was 16.7%, most of which were low-grade (Clavien-Dindo < III) and managed conservatively. On multivariable analysis, pure seminoma (odds ratio 17.4) and bilateral dissection template (odds ratio 4.2) were independently associated with 90-day complications. No 90-day hospital readmission was recorded. With a median (IQR) follow-up of 16 (4-32) months, 6 (6.7%) patients had disease recurrence and there was 1 cancer-related death. CONCLUSION: With appropriate patient selection at centers with expertise in testicular cancer and minimally invasive surgery, robotic post-chemotherapy retroperitoneal lymph node dissection appears safe and effective, although longer follow-up is warranted.

Combining PSA and PET features to select candidates for salvage lymph node dissection in recurrent prostate cancer.

Objective: To evaluate the relationship between pre-operative PSA value, 68Ga-prostate-specific-membrane-antigen (PSMA) PET performance and oncologic outcomes after salvage lymph node dissection (sLND) for biochemical recurrent prostate cancer (PCa). Patients and methods: The study included 164 patients diagnosed with ≤2 pelvic lymph-node recurrence(s) of PCa documented on 68Ga-PSMA PET scan and treated with pelvic ± retroperitoneal sLND at 11 high-volume centres between 2012 and 2019. Pathologic findings were correlated to PSA values at time of sLND, categorized in early (<0.5 ng/ml), low (0.5-0.99 ng/ml), moderate (1-1.5 ng/ml) and high (>1.5 ng/ml). Clinical recurrence (CR)-free survival after sLND was calculated using multivariable analyses and plotted over pre-operative PSA value. Results: Median [interquartile range (IQR)] PSA at sLND was 1.1 (0.6, 2.0) ng/ml, and 131 (80%) patients had one positive spot at PET scan. All patients received pelvic sLND, whereas 91 (55%) men received also retroperitoneal dissection. Median (IQR) number of node removed was 15 (6, 28). The rate of positive pathology increased as a function of pre-operative PSA value, with highest rates for patients with pre-operative PSA > 1.5 ng/ml (pelvic-only sLNDs: 84%; pelvic + retroperitoneal sLNDs: 90%). After sLND, PSA ≤ 0.3 ng/ml was detected in 67 (41%) men. On multivariable analyses, pre-operative PSA was associated with PSA response (p < 0.0001). There were 51 CRs after sLND. After adjusting for confounders, we found a significant, non-linear relationship between PSA level at sLND and the 12-month CR-free survival (p < 0.0001), with the highest probability of freedom from CR for patients who received sLND at PSA level ≥1 ng/ml. Conclusions: In case of PET-detected nodal recurrences amenable to sLND, salvage surgery was associated with the highest short-term oncologic outcomes when performed in men with PSA ≥ 1 ng/ml. Awaiting confirmatory data from prospective trials, these findings may help physicians to optimize the timing for 68Ga-PSMA PET in biochemical recurrent PCa.