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Background: The RENAL nephrometry score (RNS) is widely used to describe renal mass complexity and inform patient counseling for partial nephrectomy (PN). However, in cases with multiple tumors, it is unknown which features drive perioperative outcomes.
Objective: To employ a novel scoring equation (multiplex score [MS]) derived from RNS to assess outcomes of multiplex PN at our institution.
Design, Setting, And Participants: A total of 62 consecutive multiplex PN (median (range) # tumors = 4(2-11), 65% robotic) were performed by a single surgeon. The MS was defined a priori as a weighted score derived from RNS (# low risk ([LR] lesions) + 2*(# intermediate risk [IR]) + 4*(# high risk [HR]) based on published complication rates.
Outcome Measurements And Statistical Analysis: MS was dichotomized into favorable/unfavorable based on median score. Patient outcomes were maintained prospectively. MS was compared with other potential RNS derived scoring systems.
Results And Limitation: A total of 249 tumors were scored. Median (range) MS was 6(range 2-20, IQR 3-8). Complications occurred in 10 patients (16.1%). Only 1 complication occurred in the favorable MS(<6) group, and MS was associated with perioperative complication (P = 0.02) and blood loss (P < .001). When compared to other potential scoring systems, MS had the best area under the curve (AUC) to predict operative complications (0.75).
Conclusions: The novel MS was associated with complications and blood loss. This tool may facilitate standardized reporting of complexity for multiplex series, with special relevance for hereditary cancer syndromes.
Patient Summary: For patients who have one kidney tumor, there are established scoring systems to help patients and surgeons decide on the surgical plan. However currently, for patients with more than one renal tumor, there is no such scoring system. Here, we present the "Multiplex Score" to aid shared-decision-making in cases with more than one renal tumor.
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http://dx.doi.org/10.1016/j.urolonc.2023.03.007 | DOI Listing |
Front Immunol
September 2025
Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Background: Tertiary lymphoid structures (TLSs) are linked to prognosis in esophageal squamous cell carcinoma (ESCC), but whether the distribution, abundance, and maturity of TLSs affect therapeutic efficacy and prognosis in ESCC treated with neoadjuvant chemoradiotherapy plus immunotherapy (NRCI) remains unclear. We explored TLS characteristics and correlated them with patient survival.
Methods: A total of 157 resectable ESCC patients treated with neoadjuvant therapy between September 2020 and May 2023 were divided into NRCI (n=49) and neoadjuvant chemoimmunotherapy (NCI, n=108) groups.
Eur J Pharmacol
September 2025
Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address:
Background: Immunotherapy (IO) combined with tyrosine kinase inhibitors (TKI) are now first-line therapy for advanced renal cell carcinoma (RCC), though reliable predictive biomarkers remain elusive. Recent evidence demonstrates that karyopherin α2 subunit (KPNA2), a nuclear transport regulator, plays key roles in tumorigenesis and therapy resistance.
Methods: Two cohorts were analyzed: an institutional cohort of metastatic RCC patients (ZS-MRCC) and the phase III JAVELIN Renal 101 trial cohort.
J Crohns Colitis
September 2025
Laboratory for Complex Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Background And Aims: Inflammatory bowel disease (IBD) often affects multiple relatives, pointing towards shared genetic and/or environmental factors. This study evaluates the importance of known IBD risk variants, and of genetic determinants of smoking in such multiplex families.
Methods: We studied 65 IBD multiplex families, comprising 146 Crohn's disease [CD], 33 ulcerative colitis [UC], and 111 unaffected relatives.
Front Immunol
September 2025
Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Introduction: Autoimmune thyroiditis (AIT) is a chronic autoimmune disease characterized by lymphocytic infiltration of the thyroid gland and elevated specific antibodies. Its incidence rises annually, yet no standardized animal model fully mimics human AIT. Given unclear pathogenesis and lack of targeted immunotherapies, researchers invest significant time in developing suitable models.
View Article and Find Full Text PDFJCO Precis Oncol
September 2025
Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA.
Purpose: Retrospective studies have found associations between the number of intratumoral immune cells and patient outcomes for specific cancers treated with targeted therapies. However, the clinical value of routinely quantifying intratumoral immune biomarkers using a digital pathology platform in the pan-cancer setting within an active clinical laboratory has not been established.
Methods: We developed ImmunoProfile, a daily clinical workflow that integrates automated multiplex immunofluorescence tissue staining, digital slide imaging, and machine learning-assisted scoring to quantify intratumoral CD8, PD-1, CD8PD-1, and FOXP3 immune cells and PD-L1 expression in formalin-fixed, paraffin-embedded tissue samples in a standardized and reproducible manner.