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Multiregional single-cell proteogenomic analysis of ccRCC reveals cytokine drivers of intratumor spatial heterogeneity

Natalia Miheecheva, Ekaterina Postovalova, Yang Lyu, Akshaya Ramachandran, Alexander Bagaev, Viktor Svekolkin, Ilia Galkin, Vladimir Zyrin, Vladislav Maximov, Yaroslav Lozinsky, Sergey Isaev, Pavel Ovcharov, Diana Shamsutdinova, Emily H. Cheng, Krystle Nomie, Jessica H. Brown, Maria Tsiper, Ravshan Ataullakhanov, Nathan Fowler, James J. Hsieh

2022Cell Reports40 citationsDOIOpen Access PDF

Abstract

Intratumor heterogeneity (ITH) represents a major challenge for anticancer therapies. An integrated, multidimensional, multiregional approach dissecting ITH of the clear cell renal cell carcinoma (ccRCC) tumor microenvironment (TME) is employed at the single-cell level with mass cytometry (CyTOF), multiplex immunofluorescence (MxIF), and single-nucleus RNA sequencing (snRNA-seq) and at the bulk level with whole-exome sequencing (WES), RNA-seq, and methylation profiling. Multiregional analyses reveal unexpected conservation of immune composition within each individual patient, with profound differences among patients, presenting patient-specific tumor immune microenvironment signatures despite underlying genetic heterogeneity from clonal evolution. Spatial proteogenomic TME analysis using MxIF identifies 14 distinct cellular neighborhoods and, conversely, demonstrated architectural heterogeneity among different tumor regions. Tumor-expressed cytokines are identified as key determinants of the TME and correlate with clinical outcome. Overall, this work signifies that spatial ITH occurs in ccRCC, which may drive clinical heterogeneity and warrants further interrogation to improve patient outcomes.

Topics & Concepts

Mass cytometryBiologyGenetic heterogeneityTumor microenvironmentClear cell renal cell carcinomaMultiplexProteogenomicsComputational biologyExomeCancer researchImmune systemExome sequencingTranscriptomeGeneticsRenal cell carcinomaMedicinePathologyGeneMutationGene expressionPhenotypeSingle-cell and spatial transcriptomicsCancer Genomics and DiagnosticsFerroptosis and cancer prognosis