RNA-Sequencing Predicts Immunotherapy Success in Bladder Cancer
By LabMedica International staff writers Posted on 22 Apr 2021 |

Image: Histopathology from a transurethral biopsy of urothelial carcinoma of the urinary bladder (Photo courtesy of KGH)
Urothelial carcinoma, also known as transitional cell carcinoma (TCC), is by far the most common type of bladder cancer. Urothelial cells also line other parts of the urinary tract, such as the part of the kidney that connects to the ureter (called the renal pelvis), the ureters, and the urethra.
The standard treatment for metastatic urothelial cancer of the bladder has been platinum-based chemotherapy, though the landscape has changed dramatically in recent years with the advent of PD-1 and PD-L1 immune checkpoint inhibitors, but only 20% to 25% of patients with bladder cancer respond to treatment.
A multidisciplinary team of medical scientists led by Icahn School of Medicine at Mount Sinai, New York, NY, USA) uncovered gene signatures representing adaptive immunity and pro-tumorigenic inflammation that were responsible for sensitivity or resistance to immune checkpoint inhibitors, drugs that help the body's immune system recognize and attack cancerous cells. The team used both bulk and single-cell RNA sequencing of human bladder tumors to study resistance to immunotherapy. Bulk sequencing examines the mix of genes expressed by every individual cell within a tumor, while single-cell sequencing zeroes in on gene expression by each individual cell, which yields unprecedented knowledge of the complexity and heterogeneity of cells that comprise tumors.
The scientists reported that the adaptive immune response:protumorigenic inflammation signature expression ratio, coined the 2IR score, best correlated with clinical outcomes, and was externally validated. Mapping these bulk gene signatures onto scRNA-seq data uncovered their underlying cellular diversity, with prominent expression of the protumorigenic inflammation signature by myeloid phagocytic cells.
However, heterogeneity in expression of adaptive immune and protumorigenic inflammation genes was observed among single myeloid phagocytic cells, quantified as the myeloid single cell immune:protumorigenic inflammation ratio (Msc2IR) score. Single myeloid phagocytic cells with low Msc2IR scores demonstrated upregulation of proinflammatory cytokines/chemokines and downregulation of antigen presentation genes, were unrelated to M1 versus M2 polarization, and were enriched in pretreatment blood samples from patients with PD-L1 blockade–resistant metastatic urothelial cancer.
Matthew D. Galsky, MD, a Professor of Medicine and senior author of the study, said, “If the tumor microenvironment is weighted more toward adaptive immunity, there's a better chance of positive outcomes from immunotherapy. On the other hand, if the tumor microenvironment is leaning toward pro-tumorigenic inflammation, then PD-1/PD-L1 checkpoint inhibitors alone are unlikely to be successful, and new combination approaches may be needed.”
The authors concluded that the balance of adaptive immunity and protumorigenic inflammation in individual tumor microenvironments is associated with PD-1/PD-L1 resistance in urothelial cancer with the latter linked to a proinflammatory cellular state of myeloid phagocytic cells detectable in tumor and blood. The study was published on April 9, 2021 in the journal Clinical Cancer Research.
Related Links:
Icahn School of Medicine at Mount Sinai
The standard treatment for metastatic urothelial cancer of the bladder has been platinum-based chemotherapy, though the landscape has changed dramatically in recent years with the advent of PD-1 and PD-L1 immune checkpoint inhibitors, but only 20% to 25% of patients with bladder cancer respond to treatment.
A multidisciplinary team of medical scientists led by Icahn School of Medicine at Mount Sinai, New York, NY, USA) uncovered gene signatures representing adaptive immunity and pro-tumorigenic inflammation that were responsible for sensitivity or resistance to immune checkpoint inhibitors, drugs that help the body's immune system recognize and attack cancerous cells. The team used both bulk and single-cell RNA sequencing of human bladder tumors to study resistance to immunotherapy. Bulk sequencing examines the mix of genes expressed by every individual cell within a tumor, while single-cell sequencing zeroes in on gene expression by each individual cell, which yields unprecedented knowledge of the complexity and heterogeneity of cells that comprise tumors.
The scientists reported that the adaptive immune response:protumorigenic inflammation signature expression ratio, coined the 2IR score, best correlated with clinical outcomes, and was externally validated. Mapping these bulk gene signatures onto scRNA-seq data uncovered their underlying cellular diversity, with prominent expression of the protumorigenic inflammation signature by myeloid phagocytic cells.
However, heterogeneity in expression of adaptive immune and protumorigenic inflammation genes was observed among single myeloid phagocytic cells, quantified as the myeloid single cell immune:protumorigenic inflammation ratio (Msc2IR) score. Single myeloid phagocytic cells with low Msc2IR scores demonstrated upregulation of proinflammatory cytokines/chemokines and downregulation of antigen presentation genes, were unrelated to M1 versus M2 polarization, and were enriched in pretreatment blood samples from patients with PD-L1 blockade–resistant metastatic urothelial cancer.
Matthew D. Galsky, MD, a Professor of Medicine and senior author of the study, said, “If the tumor microenvironment is weighted more toward adaptive immunity, there's a better chance of positive outcomes from immunotherapy. On the other hand, if the tumor microenvironment is leaning toward pro-tumorigenic inflammation, then PD-1/PD-L1 checkpoint inhibitors alone are unlikely to be successful, and new combination approaches may be needed.”
The authors concluded that the balance of adaptive immunity and protumorigenic inflammation in individual tumor microenvironments is associated with PD-1/PD-L1 resistance in urothelial cancer with the latter linked to a proinflammatory cellular state of myeloid phagocytic cells detectable in tumor and blood. The study was published on April 9, 2021 in the journal Clinical Cancer Research.
Related Links:
Icahn School of Medicine at Mount Sinai
Latest Pathology News
- Groundbreaking Chest Pain Triage Algorithm to Transform Cardiac Care
- AI-Based Liquid Biopsy Approach to Revolutionize Brain Cancer Detection
- AI-Driven Analysis of Digital Pathology Images to Improve Pediatric Sarcoma Subtyping
- AI-Based Model Predicts Kidney Cancer Therapy Response
- Sensitive and Specific DUB Enzyme Assay Kits Require Minimal Setup Without Substrate Preparation
- World’s First AI Model for Thyroid Cancer Diagnosis Achieves Over 90% Accuracy
- Breakthrough Diagnostic Approach to Significantly Improve TB Detection
- Rapid, Ultra-Sensitive, PCR-Free Detection Method Makes Genetic Analysis More Accessible
- Spit Test More Accurate at Identifying Future Prostate Cancer Risk
- DNA Nanotechnology Boosts Sensitivity of Test Strips
- Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
- New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
- "Metal Detector" Algorithm Hunts Down Vulnerable Tumors
- Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
- Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
- AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
Channels
Clinical Chemistry
view channel
AI-Powered Blood Test Accurately Detects Ovarian Cancer
Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more
Automated Decentralized cfDNA NGS Assay Identifies Alterations in Advanced Solid Tumors
Current circulating cell-free DNA (cfDNA) assays are typically centralized, requiring specialized handling and transportation of samples. Introducing a flexible, decentralized sequencing system at the... Read moreMass Spectrometry Detects Bacteria Without Time-Consuming Isolation and Multiplication
Speed and accuracy are essential when diagnosing diseases. Traditionally, diagnosing bacterial infections involves the labor-intensive process of isolating pathogens and cultivating bacterial cultures,... Read more
First Comprehensive Syphilis Test to Definitively Diagnose Active Infection In 10 Minutes
In the United States, syphilis cases have surged by nearly 80% from 2018 to 2023, with 209,253 cases recorded in the most recent year of data. Syphilis, which can be transmitted sexually or from mother... Read moreHematology
view channel
First Point-of-Care Heparin Monitoring Test Provides Results in Under 15 Minutes
Heparin dosing requires careful management to avoid both bleeding and clotting complications. In high-risk situations like extracorporeal membrane oxygenation (ECMO), mortality rates can reach about 50%,... Read more
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Molecular Stool Test Shows Potential for Diagnosing TB in Adults with HIV
Tuberculosis (TB), caused by the bacterium Mycobacterium tuberculosis, led to 1.25 million deaths in 2023, with 13% of those occurring in people living with HIV. The current primary diagnostic method for... Read more
New Test Diagnoses Bacterial Meningitis Quickly and Accurately
Bacterial meningitis is a potentially fatal condition, with one in six patients dying and half of the survivors experiencing lasting symptoms. Therefore, rapid diagnosis and treatment are critical.... Read morePathology
view channel
Groundbreaking Chest Pain Triage Algorithm to Transform Cardiac Care
Cardiovascular disease is responsible for a third of all deaths worldwide, and chest pain is the second most common reason for emergency department (ED) visits. With EDs often being some of the busiest... Read more
AI-Based Liquid Biopsy Approach to Revolutionize Brain Cancer Detection
Detecting brain cancers remains extremely challenging, with many patients only receiving a diagnosis at later stages after symptoms like headaches, seizures, or cognitive issues appear. Late-stage diagnoses... Read moreTechnology
view channel
Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer
Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses
Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more