Heterogeneity is a hallmark of tumors and has a crucial role in the outcome of the malignancy, because it not only confounds diagnosis, but also challenges the design of effective therapies. There are two types of heterogeneity: inter-tumor and intra-tumor heterogeneity. While inter-tumor heterogeneity has been studied widely, intra-tumor heterogeneity has been neglected even though numerous studies support this aspect of tumor pathobiology. The main reason has been the technical difficulties, but with new advances in single-cell technology, intra-tumor heterogeneity is becoming a key area in the study of cancer. Several models try to explain the origin and maintenance of intra-tumor heterogeneity, however, one prominent model compares cancer with a tree where the ubiquitous mutations compose the trunk and mutations present in subpopulations of cells are represented by the branches. In this review we will focus on the intra-tumor heterogeneity of glioblastoma multiforme (GBM), the most common brain tumor in adults that is characterized by a marked heterogeneity at the cellular and molecular levels. Better understanding of this heterogeneity will be essential to design effective therapies against this devastating disease to avoid tumor escape.
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http://dx.doi.org/10.3390/cancers6010226 | DOI Listing |
Cancer Discov
November 2024
Weizmann Institute of Science, Rehovot, Israel.
Low intra-tumor heterogeneity (ITH) correlates with increased patient survival and immunotherapy response. However, even highly homogeneous tumors are variably aggressive, and the immunological factors impacting aggressiveness remain understudied. Here, we analyzed the mechanisms underlying immune escape in murine tumors with low ITH.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
The journey from laboratory research to clinical practice is marked by significant advancements in the fields of single-cell technologies and non-coding RNA (ncRNA) research. This convergence may reshape our approach to personalized medicine, offering groundbreaking insights and treatments in various clinical settings. This chapter discusses advancements in (nc)RNAs in the clinics, innovations in single-cell technologies and algorithms, and the impact on actual precision medicine, showing the integration of single-cell and ncRNA research can have a tangible impact on precision medicine.
View Article and Find Full Text PDFTissue Cell
December 2024
Department of Pathology, Faculty of Medicine, Suez University, Egypt.
Urinary bladder cancer (UBC) is the ninth most common cancer worldwide. The intra-tumor heterogeneity of the UBC microenvironment explains the variances in response to therapy among patients. Tumor immune microenvironment (TIME) is based on the balance between anti-tumor and pro-tumorigenic immunity that eventually determines the tumor fate.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Huangpu District, Shanghai 200025, China.
Intratumor heterogeneity significantly challenges the accuracy of existing prognostic models for esophageal squamous cell carcinoma (ESCC) by introducing biases related to the varied genetic and molecular landscapes within tumors. Traditional models, relying on single-sample, single-region bulk RNA sequencing, fall short of capturing the complexity of intratumor heterogeneity. To fill this gap, we developed a computational model for intratumor heterogeneity corrected signature (ITHCS) by employing both multiregion bulk and single-cell RNA sequencing to pinpoint genes that exhibit consistent expression patterns across different tumor regions but vary significantly among patients.
View Article and Find Full Text PDFHepatology
December 2024
Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.
Background And Aims: Ambiguous understanding of tumors and the tumor microenvironments (TMEs) hinders accurate diagnosis and available treatment for multifocal hepatocellular carcinoma (HCC) covering intrahepatic metastasis (IM) and multicentric occurrence (MO). Here, we characterized the diverse TMEs of IM and MO identified by whole-exome sequencing (WES) at single-cell resolution.
Approach And Results: We performed parallel WES and single-cell RNA sequencing (scRNA-seq) on twenty-three samples from seven patients to profile their TMEs when major results were validated by immunohistochemistry in the additional cohort.
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