Predictive Value of Neutrophil Extracellular Traps in Neoadjuvant Chemotherapy for Muscle-Invasive Bladder Cancer.

Cisplatin-based chemotherapy is the recommended therapy for muscle-invasive bladder cancer (MIBC). However, the efficacy of MIBC for chemotherapy is only about 40%. Therefore, predictors of therapy response are urgently needed.

Dynamic Changes in Serum Immunoglobulin G Predict Clinical Response and Prognosis in Metastatic Clear-cell Renal Cell Carcinoma.

Background And Objective: Systemic treatments involving immunotherapy-tyrosine kinase inhibitor (IO-TKI) combinations and TKI monotherapy have significantly improved outcomes for patients with metastatic clear-cell renal cell carcinoma (mccRCC). However, there are no biomarkers for predicting the efficacy of these treatments. Our aim was to investigate the prognostic and therapeutic significance of serum immunoglobulin G (IgG) in patients with mccRCC patients receiving systemic therapy.

AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models.

Large-scale visual-language pre-trained models (VLPMs) have demonstrated exceptional performance in downstream object detection through text prompts for natural scenes. However, their application to zero-shot nuclei detection on histopathology images remains relatively unexplored, mainly due to the significant gap between the characteristics of medical images and the weboriginated text-image pairs used for pre-training. This paper aims to investigate the potential of the object-level VLPM, Grounded Language-Image Pre-training (GLIP), for zero-shot nuclei detection.

Cigarette smoking-related OLC1 overexpression associated with poor prognosis in bladder urothelial carcinoma.

Aims: To explore the clinical significance of OLC1 and cigarette smoking in bladder urothelial carcinoma (UBC).

Materials And Methods: OLC1 mRNA expression was detected in 106 UBC samples by mRNA array or reverse real-time PCR. OLC1 protein expression in 114 UBC samples was detected by immunohistochemical staining.

Serum IgA as a Prognostic Beacon: Anticipating Systemic Therapy Efficacy in Metastatic Clear Cell Renal Cell Carcinoma.

Objective: Immunotherapy-tyrosine kinase inhibitor (IO-TKI) therapy has revolutionized the treatment landscape for metastatic clear cell renal cell carcinoma (mccRCC); however, the absence of effective biomarkers poses a challenge in predicting the efficacy of these regimens. This study aims to explore the predictive and prognostic value of serum immunoglobulin A (IgA) in mccRCC patients undergoing IO-TKI therapy.

Methods: Ninety-six mccRCC patients treated with IO-TKI therapy from 2019 to 2023 were enrolled and serum IgA levels were assessed at the pretreatment baseline and after 3 months of treatment.

MRI evaluation of vesical imaging reporting and data system for bladder cancer after neoadjuvant chemotherapy.

Background: The Vesical Imaging-Reporting and Data System (VI-RADS) has demonstrated effectiveness in predicting muscle invasion in bladder cancer before treatment. The urgent need currently is to evaluate the muscle invasion status after neoadjuvant chemotherapy (NAC) for bladder cancer. This study aims to ascertain the accuracy of VI-RADS in detecting muscle invasion post-NAC treatment and assess its diagnostic performance across readers with varying experience levels.

Downstaging guided neoadjuvant strategy shift and bladder preservation in locally advanced bladder cancer: A case report.

Background: The study of bladder preservation for muscle-invasive bladder cancer (MIBC) mainly focuses on the T2 stage, which remains difficult in the T3 and T4 stage. Pembrolizumab has been applied as neoadjuvant therapy followed by radical cystectomy for MIBC, gaining encouraging results in the phase II study. Disitamab vedotin, an antibody-drug conjugate (ADC), also achieved promising efficacy for refractory bladder cancer.

MSNSegNet: attention-based multi-shape nuclei instance segmentation in histopathology images.

In clinical research, the segmentation of irregularly shaped nuclei, particularly in mesenchymal areas like fibroblasts, is crucial yet often neglected. These irregular nuclei are significant for assessing tissue repair in immunotherapy, a process involving neovascularization and fibroblast proliferation. Proper segmentation of these nuclei is vital for evaluating immunotherapy's efficacy, as it provides insights into pathological features.

Comprehensive analysis of m A methylome and transcriptome by Nanopore sequencing in clear cell renal carcinoma.

N -methyladenosine (m A) is the most prevalent epigenetic modification on eukaryotic messenger RNAs. Recent studies have focused on elucidating the key role of m A modification patterns in tumor progression. However, the relationship between m A and transcriptional regulation remains elusive.

Prognosis and Clinicopathological Characters of Adult TFEB-Altered Renal Cell Carcinoma: A Single Center Experience of 18 Cases.

Introduction: TFEB-altered renal cell carcinoma (RCC) is a rare entity characterized by the rearrangement of the TFEB gene or TFEB amplified. The therapeutic implications and long-term survival of TFEB-altered RCC remain unclear, especially for metastatic cases.

Materials And Methods: The current study initially enrolled 7604 consecutive RCC patients at our center and a total of 248 patients were selected for FISH and immunohistochemistry (IHC) analysis.

Deaths and adverse events from adjuvant therapy with immune checkpoint inhibitors in solid malignant tumors: A systematic review and network meta-analysis.

Background: By prolonging overall survival and reducing disease recurrence rates, immune checkpoint inhibitors (ICIs) are an emerging adjuvant therapy option for patients with resectable malignant tumors. However, the safety profile (deaths and adverse events [AEs]) of adjuvant ICIs has not been fully described.

Methods: We searched the literature for phase III randomized clinical trials that compared PD-1, PD-L1, and CTLA-4 inhibitors in solid malignant tumors.

Neutrophil extracellular traps in relationship to efficacy of systemic therapy for metastatic renal cell carcinoma.

Background: The efficacy of systemic therapy regimens, such as immune checkpoint inhibitors and tyrosine kinase inhibitors (IO-TKI) and targeted therapy, for metastatic clear cell renal cell carcinoma (ccRCC) remains unpredictable due to the lack of effective biomarkers. Neutrophil extracellular trap (NET) plays an important role in promoting ccRCC. This study explores the NET predictive value of the efficacy in metastatic ccRCC.

Nucleus-Aware Self-Supervised Pretraining Using Unpaired Image-to-Image Translation for Histopathology Images.

Self-supervised pretraining attempts to enhance model performance by obtaining effective features from unlabeled data, and has demonstrated its effectiveness in the field of histopathology images. Despite its success, few works concentrate on the extraction of nucleus-level information, which is essential for pathologic analysis. In this work, we propose a novel nucleus-aware self-supervised pretraining framework for histopathology images.

Exploration of the immunogenetic landscape of hyperprogressive disease after combined immunotherapy in cancer patients.

The immune-genetic changes that occur in cancer patients experiencing hyperprogressive disease (HPD) during combined immunotherapy are unclear. In this study, HPD patients with pre- and post-HPD samples and non-HPD patients with solid tumors were molecularly characterized by genetic and tumor immune microenvironment (TiME) analyses of paired samples by whole-exome sequencing, RNA sequencing, and multiplex immunofluorescence. The genetic analysis of paired samples showed that almost all the tumor driver gene mutations were preserved between pre- and post-HPD tumors HPD patients had higher frequencies of mutations in and , and a significantly higher mutant-allele tumor heterogeneity than non-HPD patients.

Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation.

Nuclei instance segmentation on histopathology images is of great clinical value for disease analysis. Generally, fully-supervised algorithms for this task require pixel-wise manual annotations, which is especially time-consuming and laborious for the high nuclei density. To alleviate the annotation burden, we seek to solve the problem through image-level weakly supervised learning, which is underexplored for nuclei instance segmentation.

Neutrophil extracellular traps primed intercellular communication in cancer progression as a promising therapeutic target.

In addition to the anti-infection response, neutrophils are linked to tumor progression through the secretion of inflammation components and neutrophil extracellular traps (NETs) formation. NET is a web-like structure constituted by a chromatin scaffold coated with specific nuclear and cytoplasmic proteins, such as histone and granule peptides. Increasing evidence has demonstrated that NETs are favorable factors to promote tumor growth, invasion, migration, and immunosuppression.

UCseek: ultrasensitive early detection and recurrence monitoring of urothelial carcinoma by shallow-depth genome-wide bisulfite sequencing of urinary sediment DNA.

Background: Current methods for the detection and surveillance of urothelial carcinomas (UCs) are often invasive, costly, and not effective for low-grade, early-stage, and minimal residual disease (MRD) tumors. We aimed to develop and validate a model from urine sediments to predict different grade and stage UCs with low cost and high accuracy.

Methods: We collected 167 samples, including 90 tumors and 77 individuals without tumors, as a discovery cohort.

Optimizing targeted drug selection in combination therapy for patients with advanced or metastatic renal cell carcinoma: A systematic review and network meta-analysis of safety.

Objective: For patients with advanced or metastatic renal cell carcinoma (RCC), the dose of targeted agents was recommended in combination with immune checkpoint inhibitors. We performed a network meta-analysis to describe a categorized safety ranking profile and assess the adaptability of the combination options of targeted agents.

Methods: The targeted agents refer to vascular endothelial growth factor tyrosine kinase inhibitors (VEGF-TKIs) and mammalian target of rapamycin (mTOR) inhibitors.

Efficacy and safety of surgery in renal carcinoma patients 75 years and older: a retrospective analysis.

Objective: To investigate the efficacy and complications of surgical treatment in patients with renal cell carcinoma aged ≥ 75 years.

Methods: From January 2009 to May 2019, we assessed 166 patients aged 75 years and older, who either had radical nephrectomy (RN) or partial nephrectomy (PN) as treatments for diagnosed renal cell carcinoma. Patients were divided into one group of patients aged 75-79 years and the second group of patients ≥ 80 years.

Machine learning-based prognostic and metastasis models of kidney cancer.

Background: Kidney cancer originates from the urinary tubule epithelial system of the renal parenchyma, accounting for 20% of all urinary system tumors. Approximately 70% of cases are localized at diagnosis, and 30% are metastatic. Most localized kidney cancers can be cured by surgery, but most metastatic patients relapse after surgery and eventually die of kidney cancer.

A novel nomogram can predict pathological T3a upstaged from clinical T1a in localized renal cell carcinoma.

Hypothesis: Nomogram can be built to predict the pathological T3a upstaging from clinical T1a in patients with localized renal cell carcinoma before surgery.

Purpose: Renal cell carcinoma (RCC) patients with clinical T1a (cT1a) disease who are upstaged to pathological T3a (pT3a) have reduced survivals after partial nephrectomy. We aimed to develop a nomogram-based model predicting pT3a upstaging in RCC patients with preoperative cT1a based on multiple preoperative blood indexes and oncological characteristics.

Transmembrane Transporter Sema3D Serves as a Tumor Suppressor in Localized Clear Cell Renal Cell Carcinoma.

Background: The transmembrane transporter Sema3D is a vital molecule involved in axon guidance and carcinogenesis of variant malignancies. However, the relationship between Sema3D and clear cell renal cell carcinoma (ccRCC) is barely reported and remains unclear.

Methods: Sema3D expression and the connection of clinical and histological characteristics were first analyzed with transcriptome data in the TCGA repository.