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BACKGROUND AND OBJECTIVES: The prognosis of patients undergoing kidney tumor resection or kidney donation is linked to many histologic criteria. These criteria notably include glomerular density, glomerular volume, vascular luminal stenosis, and severity of interstitial fibrosis/tubular atrophy. Automated measurements through a deep-learning approach could save time and provide more precise data. This work aimed to develop a free tool to automatically obtain kidney histologic prognostic features. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In total, 241 samples of healthy kidney tissue were split into three independent cohorts. The “Training” cohort (n=65) was used to train two convolutional neural networks: one to detect the cortex and a second to segment the kidney structures. The “Test” cohort (n=50) assessed their performance by comparing manually outlined regions of interest to predicted ones. The “Application” cohort (n=126) compared prognostic histologic data obtained manually or through the algorithm on the basis of the combination of the two convolutional neural networks. RESULTS: In the Test cohort, the networks isolated the cortex and segmented the elements of interest with good performances (>90% of the cortex, healthy tubules, glomeruli, and even globally sclerotic glomeruli were detected). In the Application cohort, the expected and predicted prognostic data were significantly correlated. The correlation coefficients r were 0.85 for glomerular volume, 0.51 for glomerular density, 0.75 for interstitial fibrosis, 0.71 for tubular atrophy, and 0.73 for vascular intimal thickness, respectively. The algorithm had a good ability to predict significant (>25%) tubular atrophy and interstitial fibrosis level (receiver operator characteristic curve with an area under the curve, 0.92 and 0.91, respectively) or a significant vascular luminal stenosis (>50%) (area under the curve, 0.85). CONCLUSION: This freely available tool enables the automated segmentation of kidney tissue to obtain prognostic histologic data in a fast, objective, reliable, and reproducible way.

Background The recent COVID-19 pandemic has raised concerns about patient diagnosis and follow-up of chronically ill patients. Patients suffering from chronic illnesses, concomitantly infected by SARS-CoV-2, globally tend to have a worse prognosis and poor outcomes. Renal tropism and acute kidney injury following SARS-CoV-2 infection has recently been described in the literature, with elevated mortality rates. Furthermore, patients with pre-existing chronic kidney disease, infected by SARS-CoV-2, should be monitored carefully. Here, we report the case of a 69-year-old patient with splenic marginal zone lymphoma, suffering from longstanding chronic kidney disease following SARS-CoV-2 infection. Case presentation A 69-year-old male patient previously diagnosed with pulmonary embolism and splenic marginal zone lymphoma (Splenomegaly, Matutes 2/5, CD5 negative and CD23 positive), was admitted to the hospital with shortness of breath, fever and asthenia. A nasopharyngeal swab test was performed in addition to a CT-scan, which confirmed SARS-CoV-2 infection. Blood creatinine increased following SARS-CoV-2 infection at 130 μmol/l, with usual values at 95 μmol/l. The patient was discharged at home with rest and symptomatic medical treatment (paracetamol and hydration), then readmitted to the hospital in August 2020. A kidney biopsy was therefore conducted as blood creatinine levels were abnormally elevated. Immunodetection performed in a renal biopsy specimen confirmed co-localization of SARS-CoV2 nucleocapsid and protease 3C proteins with ACE2, Lewis x and sialyl-Lewis x antigens in proximal convoluted tubules and podocytes. Co-localization of structural and non-structural viral proteins clearly demonstrated viral replication in proximal convoluted tubules in this chronically ill patient. Additionally, we observed the co-localization of sialyl-Lewis x and ACE2 receptors in the same proximal convoluted tubules. Reverse Transcriptase-Polymerase Chain Reaction test performed on the kidney biopsy was negative, with very low Ct levels (above 40). The patient was finally readmitted to the haematology department for initiation of chemotherapy, including CHOP protocol and Rituximab. Conclusions Our case emphasizes on the importance of monitoring kidney function in immunosuppressed patients and patients suffering from cancer following SARS-CoV-2 infection, through histological screening. Further studies will be required to decipher the mechanisms underlying chronic kidney disease and the putative role of sialyl-Lewis x and HBGA during SARS-CoV-2 infection.

Systemic sclerosis (SSc) is a multisystem autoimmune fibrosing disease affecting the connective tissue. It particularly affects the skin, notably with skin thickening, but SSc is also characterized by the involvement of many other organs, such as the lungs, the gastrointestinal tract, or the musculoskeletal tissues. One of the most life-threatening situations associated with SSc is scleroderma renal crisis (SRC), which classically associates a hypertensive crisis with oliguric acute kidney injury due to an acute thrombotic microangiopathy.1, 2 In some cases, the diagnosis of this disease can be delayed by atypical presentation such as systemic sclerosis sine scleroderma and/or the presence of rare antibodies. Here we report a case of a histologically confirmed SRC in a patient with systemic sclerosis sine scleroderma and anti-PM/Scl antibodies (Table 1). Table 1 Teaching points

Background The limitations of the assessment of tumor aggressiveness by Prostate Imaging Reporting and Data System (PI-RADS) and biopsies suggest that the diagnostic algorithm could be improved by quantitative measurements in some chosen indications. We assessed the tumor high-risk predictive performance of 3.0 Tesla (3.0T) multiparametric magnetic resonance imaging (mp-MRI) combined with nuclear magnetic resonance spectroscopic sequences (NMR-S) in order to show that the metabolic analysis could bring out an evocative result for the aggressive form of prostate cancer. Methods We conducted a retrospective study of 26 patients (mean age, 62.4 years) who had surgery for prostate cancer between 2009 and 2016 after pre-therapeutic assessment with 3.0T mp-MRI and NMR-S. Groups within the intermediate range of the D'Amico risk classification were divided into two categories, low risk (n=20) and high risk (n=6), according to the International Society of Urological Pathology (ISUP) 2-3 limit. Histoprognostic discordances within various risk groups were compared with the corresponding predictive MRI values. The performance of predictive models was assessed based on sensitivity, specificity, and the area under the curve (AUC) of receiver operating characteristic (ROC) curves. Results After prostatectomy, histological analysis reclassified 18 patients as high-risk, including 16 who were T3 MRI grade, of whom 13 (81.3%) were found to be pT3. Among the patients who had cT1 or cT2 digital rectal examinations, the T3 MRI factor multiplied by 8.7 [odds ratio (OR), 8.7; 95% confidence interval (CI), 1.3-56.2; P=0.024] the relative risk of being pT3 and by 5.8 (OR, 5.8; 95% CI, 0.95-35.7; P=0.05) the relative risk of being pGleason (pGS) > GS-prostate biopsy. Spectroscopic data showed that the choline concentration was significantly higher (P=0.001) in aggressive disease. Conclusions The predictive model of tumor aggressiveness combining mp-MRI plus NMR-S was better than the mp-MRI model alone (AUC, 0.95 vs. 0.86). Information obtained by mp-MRI coupled with spectroscopy may improve the detection of occult aggressive disease, helping in the discrimination of intermediate risks.

Because radical prostatectomy with robot-assisted surgery can lead to unwanted prostatic capsular incisions, capsular incision in normal prostatic tissue (CINPT) is not rare. To study the relationship between positive surgical margins (PSM) and CINPT after robot-assisted radical prostatectomy. From September 2009 to January 2013, 203 consecutive robot-assisted prostatectomies were carried out by the same surgeon. A transperitoneal Montsouris technique was used for all cases, but modified to suit the use of the four-arm DaVinci device. The data were recorded prospectively in our database. Preoperative data were patient’s age, body mass index, prostate-specific antigen level, prostate weight, percentage of positive biopsy, clinical stage, and Gleason score. Postoperative data were preservation of the bladder neck and neurovascular bundles (NVB), the presence of extended pelvic lymph-node dissection (ePLND), pathological stage, Gleason score, margin status, blood loss, and operative room times. The CINPT and no-CINPT groups were analysed and compared retrospectively. The CINPT rates were 23.2 versus 18.2 % for PSM. CINPT contrary to PSM seemed to be more frequent in low-risk prostate cancer. NVB preservation led to more CINPT (p = 0.01). At the multivariate analysis, only the absence of ePLND significantly affected the CINPT status (p = 0.03) and the absence of CINPT positively affected the PSM rate (p = 0.03). Capsular incision in normal prostatic tissue is not a predictive factor of PSM but reflected risk-taking during surgery especially when NVB preservation is indicated in low-risk prostate cancer. It can therefore only be considered a means to evaluate a surgical technique, but not a real predictor of PSM.

International audience; Abstract PURPOSE: To determine whether a relationship exists between the tumor volume (TV) or relative choline content determined using magnetic resonance spectroscopy imaging (MRSI) at 3T and the clinical prognostic parameters for patients with localized prostate cancer (PCa). METHODS AND MATERIALS: A total of 72 men (mean age, 67.8 ± 6.2 years) were stratified as having low-risk (n = 26), intermediate-risk (n = 24), or high-risk (n = 22) PCa. MRSI was performed at 3T using a phased-array coil. Spectra are expressed as the total choline/citrate, total choline plus creatine/citrate, and total choline plus polyamines plus creatine/citrate ratios. The mean ratio of the most pathologic voxels and the MRSI-based TV were also determined. RESULTS: The mean values of the total choline/citrate, total choline plus creatine/citrate, and total choline plus polyamine plus creatine/citrate ratios were greater for Stage T2b or greater tumors vs. Stage T2a or less tumors: 7.53 ± 13.60 vs. 2.31 ± 5.65 (p = .018), 8.98 ± 14.58 vs. 2.56 ± 5.70 (p = .016), and 10.32 ± 15.47 vs. 3.55 ± 6.16 (p = .014), respectively. The mean MRSI-based TV for Stage T2b or greater and Stage T2a or less tumors was significantly different (2.23 ± 2.62 cm(3) vs. 1.26 ± 2.06 cm(3), respectively; p = .030). This TV correlated with increased prostate-specific antigen levels (odds ratio, 1.293; p = .012). Patients with high-risk PCa had a larger TV than did the patients with intermediate-risk PCa. A similar result was found for the intermediate-risk group compared with the low-risk group (odds ratio, 1.225; p = .041). CONCLUSION: Biomarkers expressing the relative choline content and TV were significant parameters for the localization of PCa and could be helpful for determining the prognosis more accurately.

In order to look for a relationship between humoral mechanisms of rejection and chronic allograft dysfunction, plasma cells, C4d deposits and donor-specific antibodies (DSA) were simultaneously sought on serial biopsies of kidney allograft recipients.Ten recipients with chronic dysfunction (G1) and 8 recipients with long-term normal graft function (G2) were included. Biopsies and serums were sampled at early graft dysfunction (T1), between 8months and 2years (T2) and after the third year following transplantation (T3).In G1, plasma cells represented 12.3% (T1), 8.2% (T2) and 14.1% (T3) of mononuclear cells. The mean percentage of plasma cells was 11.6% in G1 versus 0.4% in G2 (p0.05). A progressive rise in C4d deposits was seen in G1, from 25% at T1 to 80% at T3. Donor-specific antibodies were identified in at least one serum sample of 60% of the patients in G1 and 12.5% of the patients in G2 (p=0.012), whereas donor-specific antibodies were eluted from at least one biopsy of 50% of the patients in G1 and 12.5% of the patients in G2 (p=0.03). In G1, C4d deposits were significantly associated with plasma cells (p=0.0012) and anti-HLA Abs in serum samples and/or eluates (p=0.026).This study shows that plasma cells, DSA and C4d are associated in renal transplants developing chronic rejection.

The CpG island methylator phenotype (CIMP) is a distinct phenotype in colorectal cancer, associated with specific clinical, pathologic, and molecular features. However, most of the studies stratified methylation according to two subgroups (CIMP-High versus No-CIMP/CIMP-Low). In our study, we defined three different subgroups of methylation (No-CIMP, CIMP-Low, and CIMP-High) and evaluated the prognostic significance of methylation status on a population-based series of sporadic colon cancers. A total of 582 colon adenocarcinomas were evaluated using methylation-specific PCR for 5 markers (hMLH1, P16, MINT1, MINT2, and MINT31). No-CIMP status was defined as no methylated locus, CIMP-Low status as one to three methylated loci, and CIMP-High status as four or five methylated loci. Clinicopathologic and molecular characteristics were correlated to the methylation status. Crude and relative survival was compared according to methylation status. In the microsatellite-stable (MSS) group, CIMP-High was significantly associated with proximal location (P = 0.011) and BRAF mutation (P < 0.001). KRAS mutations were more associated with CIMP-High and CIMP-Low status (P = 0.008). A shorter 5-year survival was observed in MSS cancer patients with CIMP-Low or CIMP-High status. These results remained significant in multivariate analysis adjusted for age, stage, and BRAF and KRAS mutational status [CIMP-Low: hazard ratio (HR), 1.85; 95% confidence interval (95% CI), 1.37–2.51; CIMP-High, HR, 2.90; 95% CI, 1.53–5.49 compared with No-CIMP]. Within the high-level microsatellite instability group, no difference in survival was observed between the different CIMP groups. Our results show the interest of defining three subgroups of patients according to their methylation status (No-CIMP/CIMP-Low/CIMP-High). Methylation is an independent prognostic factor in MSS colon cancer. [Cancer Res 2008;68(20):8541–6]

Background Emerging data suggest that donor-specific HLA antibodies should be more frequently found onto the transplant itself than in the bloodstream. It is now possible to detect such antibodies in kidney transplant needle biopsy samples by flow cytometry. In order to know if the detection of antibodies into such blind biopsy samples depends of the site of the biopsy, we have studied the distribution of antibodies in both the cortex and medulla of 12 transplants removed after graft loss due to chronic allograft nephropathy, and in 10 controls. Methods Donor-specific HLA antibodies were extracted from the cortex and the medulla of each removed transplant by an acid elution and characterized by Luminex® assays. Results They were found in 58.3% of transplants with chronic allograft nephropathy and never in other kidney samples. The same antibodies were found in the bloodstream at the time of transplantectomy in only 16.6% of the recipients. The distribution between the cortex and medulla was concordant in 75% of cases. However, we observed 2 discrepancies: one in favor of the cortex and one in favor of the medulla. A majority (5/7) transplants with CAN and intra-graft donor-specific antibodies had also C4d deposits along peritubular capillaries. Conclusion Testing for donor-specific HLA antibodies in kidney transplant needle biopsies can be of value provided the biopsy includes both the cortex and the medulla.