[Renal synovialosarcoma: What about pyelic cytology to make a diagnosis?] / Synovialosarcome primitif du rein : si tout était déjà dans les urines pyéliques ?

Synovialosarcoma is a malignant mesenchymal tumor of young adults that occurs in the deep soft tissues, particularly around large joints. When it occurs in more unusual sites, it could present a significant diagnostic challenge. In this case, a 19-year-old girl was treated for a pyloric mass. A pyelic urine cytology performed simultaneously with a pyloric biopsy proved to be a significant element of orientation and perfectly concordant with the histopathological aspect of the pyelic mass after nephrectomy. We report here the first case of renal synovialosarcoma documented in pyelic urine.

Intra-operative fluorescence-based detection of positive surgical margins during radical prostatectomy: Lessons learned from a pilot ex vivo translational study.

OBJECTIVES: Nerve-sparing techniques during radical prostatectomy have been associated with an increased risk of positive surgical margins. The intra-operative detection of residual prostatic tissue could help mitigate this risk. The objectives of the present study were to assess the feasibility of using an anti-prostate-specific membrane antigen (anti-PSMA) antibody conjugated with a fluorophore to characterize fresh prostate tissue as prostatic or non-prostatic for intra-operative surgical margin detection. METHODS: Fresh prostatic tissue samples were collected from transurethral resections of the prostate (TURP) or prostate biopsies, and either immunolabelled with anti-PSMA antibody conjugated with Alexa Fluor 488 or used as controls. A dedicated, laparoscopy-compliant fluorescence device was developed for real-time fluorescence detection. Confocal microscopy was used as the gold standard for comparison. Spectral unmixing was used to distinguish specific, Alexa Fluor 488 fluorescence from nonspecific autofluorescence. RESULTS: The average peak wavelength of the immuno-labeled TURP samples (n = 4) was 541.7 ± 0.9 nm and of the control samples (n = 4) was 540.8 ± 2.2 nm. Spectral unmixing revealed that these similar measures were explained by significant autofluorescence, linked to electrocautery. Three biopsy samples were then obtained from seven patients and also displayed significant nonspecific fluorescence, raising questions regarding the reproducibility of the fixation of the anti-PSMA antibodies on the samples. Comparing the fluorescence results with final pathology proved challenging due to the small sample size and tissue alterations. CONCLUSIONS: This study showed similar fluorescence of immuno-labeled prostate tissue samples and controls, failing to demonstrate the feasibility of intra-operative margin detection using PSMA immuno-labeling, due to marked tissue autofluorescence. We successfully developed a fluorescence device that could be used intraoperatively in a laparoscopic setting. Use of the infrared range as well as newly available antibodies could prove interesting options for future research.

Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies.

Breast cancer is the most common malignant disease worldwide, with over 2.26 million new cases in 2020. Its diagnosis is determined by a histological review of breast biopsy specimens, which can be labor-intensive, subjective, and error-prone. Artificial Intelligence (AI)-based tools can support cancer detection and classification in breast biopsies ensuring rapid, accurate, and objective diagnosis. We present here the development, external clinical validation, and deployment in routine use of an AI-based quality control solution for breast biopsy review. The underlying AI algorithm is trained to identify 51 different types of clinical and morphological features, and it achieves very high accuracy in a large, multi-site validation study. Specifically, the area under the receiver operating characteristic curves (AUC) for the detection of invasive carcinoma and of ductal carcinoma in situ (DCIS) are 0.99 (specificity and sensitivity of 93.57 and 95.51%, respectively) and 0.98 (specificity and sensitivity of 93.79 and 93.20% respectively), respectively. The AI algorithm differentiates well between subtypes of invasive and different grades of in situ carcinomas with an AUC of 0.97 for invasive ductal carcinoma (IDC) vs. invasive lobular carcinoma (ILC) and AUC of 0.92 for DCIS high grade vs. low grade/atypical ductal hyperplasia, respectively, as well as accurately identifies stromal tumor-infiltrating lymphocytes (TILs) with an AUC of 0.965. Deployment of this AI solution as a real-time quality control solution in clinical routine leads to the identification of cancers initially missed by the reviewing pathologist, demonstrating both clinical utility and accuracy in real-world clinical application.

Prognostic Impact of pT3 Subclassification in a Multicentre Cohort of Patients with Urothelial Carcinoma of the Renal Pelvicalyceal System Undergoing Radical Nephroureterectomy: A Propensity Score-weighted Analysis After Central Pathology Review.

BACKGROUND: The current pathological tumour-node-metastasis (pTNM) classification for upper tract urothelial carcinoma (UTUC) does not include any risk stratification of pT3 renal pelvicalyceal tumours. OBJECTIVE: To assess the prognostic impact of pT3 subclassification in a multicentre cohort of patients with UTUC of the renal pelvicalyceal system undergoing radical nephroureterectomy (RNU). DESIGN, SETTING, AND PARTICIPANTS: Data from all consecutive patients treated with RNU for pT3 renal pelvicalyceal UTUC at 14 French centres from 1995 to 2013 were reviewed retrospectively. INTERVENTION: A central pathology review (CPR) was used to stratify pT3 patients into those with infiltration of the renal parenchyma on a microscopic level (pT3a) versus those with infiltration of the renal parenchyma visible on gross inspection of the resection specimen and/or invasion of peripelvic fat (pT3b). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Inverse probability weighting (IPW)-adjusted Cox regression analyses were used to compare recurrence-free survival (RFS) and cancer-specific survival (CSS) between pT3a and pT3b patients. RESULTS AND LIMITATIONS: Overall, 202 patients were included and further stratified into pT3a (n = 98; 48.5%) and pT3b (n = 104; 51.5%) subgroups. Median time to follow-up in the weighted population was 68 (interquartile range, 50-95) mo. In IPW-adjusted Cox regression analyses, pT3b versus pT3a substage was associated with a significant adverse effect on RFS (hazard ratio [HR] = 2.02; 95% confidence interval [CI] = [1.36-3.01]; p < 0.001) and CSS (HR = 1.84; 95% CI = [1.20-2.82]; p = 0.005). The study is limited by its retrospective design. CONCLUSIONS: Using IPW-adjusted analyses after the CPR, we observed that RNU patients with pT3b renal pelvicalyceal UTUC had adverse prognosis as compared with those with pT3a disease. As such, this subclassification could help refine the current pTNM system for UTUC. PATIENT SUMMARY: In this report, we looked at the prognostic interest of stratifying patients with pT3 renal pelvicalyceal upper tract urothelial carcinoma based on the extent of local invasion. We found that those with extensive infiltration (pT3b) had adverse prognosis as compared with those with limited infiltration (pT3a). This information could be provided on pathology reports to further guide clinical decision making.

Prenatal manifestation in a family affected by nevoid basal cell carcinoma syndrome.

We report here a three generations family with nevoid basal cell carcinoma syndrome (NBCCS) in which the diagnosis was made only after a second trimester of pregnancy ultrasonography revealing fetal cranio-cerebral malformations. A mutation was subsequently characterized in the aborted fetus, as well as in the mother, sister and grand-mother as an 18bp deletion in exon 15 of the patched homologue 1 (PTCH1) gene. MC1R gene sequencing identified in two NBCCS patients affected by multiple basal cell carcinomas a functional MC1R variant, D294H, previously shown to be associated with skin cancer risk. This variant was absent in the NBCCS patient that did not develop basal cell carcinomas, suggesting that this variant could have favored the development of skin cancers, in patients carrying the PTCH1 mutation.