Implications of tumour heterogeneity on cancer evolution and therapy resistance: lessons from breast cancer

Thakur, Shefali; Haider, Syed; Natrajan, Rachael

doi:10.1002/path.6158

Cited by 3 publications

(2 citation statements)

References 180 publications

(221 reference statements)

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“…For instance, SCS technology has provided key insights into the heterogeneity of tumor cells in breast cancer. Different subclones show distinct expression and mutation profiles, which could be used to inform novel therapeutic strategies for breast cancer ( Thakur et al, 2023 ). SCS is employed by researchers to understand the type, number, and functional status of tumor immune cells.…”

Section: Discussionmentioning

confidence: 99%

Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022

Chen,

Wan,

Yang

et al. 2024

Front. Genet.

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Background: Single-cell sequencing (SCS) is a technique used to analyze the genome, transcriptome, epigenome, and other genetic data at the level of a single cell. The procedure is commonly utilized in multiple fields, including neurobiology, immunology, and microbiology, and has emerged as a key focus of life science research. However, a thorough and impartial analysis of the existing state and trends of SCS-related research is lacking. The current study aimed to map the development trends of studies on SCS during the years 2010–2022 through bibliometric software.Methods: Pertinent papers on SCS from 2010 to 2022 were obtained using the Web of Science Core Collection. Research categories, nations/institutions, authors/co-cited authors, journals/co-cited journals, co-cited references, and keywords were analyzed using VOSviewer, the R package “bibliometric”, and CiteSpace.Results: The bibliometric analysis included 9,929 papers published between 2010 and 2022, and showed a consistent increase in the quantity of papers each year. The United States was the source of the highest quantity of articles and citations in this field. The majority of articles were published in the periodical Nature Communications. Butler A was the most frequently quoted author on this topic, and his article “Integrating single-cell transcriptome data across diverse conditions, technologies, and species” has received numerous citations to date. The literature and keyword analysis showed that studies involving single-cell RNA sequencing (scRNA-seq) were prominent in this discipline during the study period.Conclusion: This study utilized bibliometric techniques to visualize research in SCS-related domains, which facilitated the identification of emerging patterns and future directions in the field. Current hot topics in SCS research include COVID-19, tumor microenvironment, scRNA-seq, and neuroscience. Our results are significant for scholars seeking to identify key issues and generate new research ideas.

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Section: Discussionmentioning

confidence: 99%

Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022

Chen,

Wan,

Yang

et al. 2024

Front. Genet.

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“…This important area of research in pathology continues, incorporating and building on the previous findings to further refine our understanding of the biological processes involved and to improve diagnosis, prognosis, prediction of response to particular therapies, and identification of alternative therapeutic targets. Our first review in this broad area of research comes from Thakur, Haider, and Natrajan at the Institute of Cancer Research, London, UK [9]. Their article highlights the implications of tumour heterogeneity that is increasingly recognised through single cell sequencing and digital spatial profiling (confirming what pathologists have always known by microscopy, but adding important defining features).…”

Section: Recent Advances In Cancer Mechanisms and Their Implicationsmentioning

confidence: 97%

Recent Advances in Pathology: the 2023 Annual Review Issue of The Journal of Pathology

Jones

Poulsom

Coates

2023

The Journal of Pathology

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The 2023 Annual Review Issue of The Journal of Pathology, Recent Advances in Pathology, contains 12 invited reviews on topics of current interest in pathology. This year, our subjects include immuno‐oncology and computational pathology approaches for diagnostic and research applications in human disease. Reviews on the tissue microenvironment include the effects of apoptotic cell‐derived exosomes, how understanding the tumour microenvironment predicts prognosis, and the growing appreciation of the diverse functions of fibroblast subtypes in health and disease. We also include up‐to‐date reviews of modern aspects of the molecular basis of malignancies, and our final review covers new knowledge of vascular and lymphatic regeneration in cardiac disease. All of the reviews contained in this issue are written by expert groups of authors selected to discuss the recent progress in their particular fields and all articles are freely available online (https://pathsocjournals.onlinelibrary.wiley.com/journal/10969896). © 2023 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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Phenotyping Tumor Heterogeneity through Proteogenomics: Study Models and Challenges

Piana,

Iavarone,

De Paolis

et al. 2024

IJMS

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Tumor heterogeneity refers to the diversity observed among tumor cells: both between different tumors (inter-tumor heterogeneity) and within a single tumor (intra-tumor heterogeneity). These cells can display distinct morphological and phenotypic characteristics, including variations in cellular morphology, metastatic potential and variability treatment responses among patients. Therefore, a comprehensive understanding of such heterogeneity is necessary for deciphering tumor-specific mechanisms that may be diagnostically and therapeutically valuable. Innovative and multidisciplinary approaches are needed to understand this complex feature. In this context, proteogenomics has been emerging as a significant resource for integrating omics fields such as genomics and proteomics. By combining data obtained from both Next-Generation Sequencing (NGS) technologies and mass spectrometry (MS) analyses, proteogenomics aims to provide a comprehensive view of tumor heterogeneity. This approach reveals molecular alterations and phenotypic features related to tumor subtypes, potentially identifying therapeutic biomarkers. Many achievements have been made; however, despite continuous advances in proteogenomics-based methodologies, several challenges remain: in particular the limitations in sensitivity and specificity and the lack of optimal study models. This review highlights the impact of proteogenomics on characterizing tumor phenotypes, focusing on the critical challenges and current limitations of its use in different clinical and preclinical models for tumor phenotypic characterization.

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Implications of tumour heterogeneity on cancer evolution and therapy resistance: lessons from breast cancer

Cited by 3 publications

References 180 publications

Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022

Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022

Recent Advances in Pathology: the 2023 Annual Review Issue of The Journal of Pathology

Phenotyping Tumor Heterogeneity through Proteogenomics: Study Models and Challenges

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