Call for Chapters: Spatially Variable Genes in Cancer: Development, Progression, and Treatment Response

Editors

Ramya Raghavan, Sri Sathya Sai University for Human Excellence, India

Call for Chapters

Proposals Submission Deadline: September 8, 2024
Full Chapters Due: October 13, 2024
Submission Date: October 13, 2024

Introduction

Spatially variable genes in cancer refer to genes that exhibit different expression levels or patterns across different regions or cells within a tumor. This book sheds light on the heterogeneity within tumors, challenging the traditional one-size-fits-all approach. The chapters will examine how spatially variable genes (SVGs) influence tumor biology and pave the way for novel diagnostic and therapeutic approaches. Cancer-associated fibroblasts (CAFs) are a crucial component of the tumor microenvironment (TME), playing a fundamental role in tumor progression, metastasis, and therapy response. Identifying and characterizing SVGs can reveal novel targets for cancer treatment. Combining spatial transcriptomics with other omics data (genomics, proteomics) can provide a more comprehensive picture of tumor biology. The books will be a platform to highlight research efforts towards developing integrated analysis pipelines for personalized cancer treatment strategies.

Objective

The objective of this work is to emphasizes the potential of spatially variable genes (SVGs) for clinical applications, bridging the gap between research and practical use in cancer treatment. The book will integrate knowledge from various disciplines, including cancer biology, spatial transcriptomics, synthetic biology, machine learning and clinical oncology. By combining expertise from various fields, researchers can gain a comprehensive understanding of the development, progression, and treatment response of spatially variable genes in cancer. This collaboration enables the development of innovative approaches and strategies for cancer diagnosis, prognosis, and treatment.

Target Audience

Understanding the development, progression, and treatment response of spatially variable genes in cancer requires interdisciplinary collaboration between various fields, including biology, medicine, genomics, and computational analysis."Spatially Variable Genes in Cancer" appeals to a broad audience beyond the field of oncology research and medicine. By combining fundamental knowledge with translational applications, the book will cater to a diverse audience within the cancer research and computational biology landscape.

Recommended Topics

• The promise of spatially variable genes (SVGs) for advancing cancer research • Gene Expression Model Incorporating Spatial Context • Clinical translation of spatial transcriptomics for cancer diagnosis and therapy • Potential applications of spatially variable genes in personalized medicine • Challenges and limitations in the study of spatially variable genes • Promising research avenues: Relationship between spatially variable genes and treatment resistance • Influence of spatially variable genes on tumor heterogeneity and clonal evolution • Methodological standardization Spatial multi-omics technologies • Spatial Profiling Techniques • Spatially resolved omics data • Integration with spatial omics data • Data preprocessing and quality control • Identifying spatially variable genes (SVGs) • Method for Identifying SVGs • Analysis of Spatial Gene Expression Data • Statistical methods for SVG detection • Visualization of spatial expression patterns • Functional validation: cellular heterogeneity and intercellular communication • Spatially Variable Genes as Hallmarks of Cancer, Understanding Tissue Heterogeneity • Biomarker Discovery: Tumor initiation and progression • Disease Mechanisms: Invasion and metastasis • Spatially Variable Genes in Angiogenesis and vasculature • Immune response and tumor microenvironment (TME) • The mechanisms that control spatial gene expression patterns • Spatial Correlations and Causal Relationships • SVGs as Therapeutic Targets and Biomarkers in Cancer • Targeting SVGs for cancer treatment • Small molecule inhibitors • Antibody-drug conjugates (ADCs) • CAR T-cell therapy • SVGs as prognostic and predictive biomarkers • Integrating spatial transcriptomics: Response Surface Methodology • Ethics in use of artificial intelligence and computational methods for spatial data analysis • Limitations in Clinical translation of spatial transcriptomics for cancer diagnosis and therapy

Submission Procedure

Researchers and practitioners are invited to submit on or before September 8, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by September 10, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by October 13, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Spatially Variable Genes in Cancer: Development, Progression, and Treatment Response. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

September 8, 2024: Proposal Submission Deadline
September 10, 2024: Notification of Acceptance
October 13, 2024: Full Chapter Submission
November 24, 2024: Review Results Returned
December 22, 2024: Final Acceptance Notification
December 29, 2024: Final Chapter Submission



Inquiries

Dr. Ramya Raghavan
Sri Sathya Sai University for Human Excellence
ramya.saivrinda@gmail.com



Classifications


Computer Science and Information Technology; Life Sciences; Medicine and Healthcare; Physical Sciences and Engineering
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