Unveiling the Tumor Microenvironment by Machine Learning to Develop New Immunotherapeutic Strategies (Volume I.B)

Unveiling the Tumor Microenvironment by Machine Learning to Develop New Immunotherapeutic Strategies (Volume I.B)
Author: Nan Zhang
Publisher: Frontiers Media SA
Total Pages: 297
Release: 2023-10-24
Genre: Medical
ISBN: 2832536301

The tumor microenvironment (TME) plays a critical role in tumor proliferation, progression, and therapeutic responses. TME is a complex network of cancer cells, stromal cells, and, most importantly, infiltrating immune cells. Cancer cells regulate numerous biological functions through direct or indirect interaction with TME components. Emerging evidence suggests that TME crucially influences the response to both chemotherapy and immunotherapy. As scientific research has entered the big data era with the fast development of high-throughput sequencing technologies, machine learning has been gradually widely applied to extract important knowledge from big data bioinformatics. Thus, characterizing the TME landscape in cancer and identifying different immune-related TME phenotypes using machine learning-based bioinformatics analyses, in vitro experiments, and in vivo experiments are of great interest and significance.

Unveiling the Tumor Microenvironment by Machine Learning to Develop New Immunotherapeutic Strategies (Volume I.A)

Unveiling the Tumor Microenvironment by Machine Learning to Develop New Immunotherapeutic Strategies (Volume I.A)
Author: Nan Zhang
Publisher: Frontiers Media SA
Total Pages: 295
Release: 2023-10-24
Genre: Medical
ISBN: 2832533779

The tumor microenvironment (TME) plays a critical role in tumor proliferation, progression, and therapeutic responses. TME is a complex network of cancer cells, stromal cells, and, most importantly, infiltrating immune cells. Cancer cells regulate numerous biological functions through direct or indirect interaction with TME components. Emerging evidence suggests that TME crucially influences the response to both chemotherapy and immunotherapy. As scientific research has entered the big data era with the fast development of high-throughput sequencing technologies, machine learning has been gradually widely applied to extract important knowledge from big data bioinformatics. Thus, characterizing the TME landscape in cancer and identifying different immune-related TME phenotypes using machine learning-based bioinformatics analyses, in vitro experiments, and in vivo experiments are of great interest and significance.

Cancer Plasticity and the Microenvironment: Implications for Immunity and Therapy Response

Cancer Plasticity and the Microenvironment: Implications for Immunity and Therapy Response
Author: Petranel T. Ferrao
Publisher: Frontiers Media SA
Total Pages: 186
Release: 2019-11-01
Genre:
ISBN: 288963115X

Cancer cells can change and adapt, especially within the host environment; a phenomenon known as cancer plasticity. Several factors, including the immune system can influence, and be influenced by, cancer plasticity which in turn can impact upon patient responses to treatment. As such, we currently face several challenges for implementing combination therapies as effective cancer treatment strategies. We have compiled a topic with a number of articles that emphasize the various aspects of cancer plasticity, describing in particular the important role of the tumor microenvironment. As we embark on a new era of precision medicine with multi-modal therapies for improving patient outcomes, this topic highlights some relevant points for consideration that are pertinent to the incorporation and effective use of new treatments as part of cancer treatment regimens, including immune-modulating drugs.

The Drug Development Paradigm in Oncology

The Drug Development Paradigm in Oncology
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 145
Release: 2018-02-12
Genre: Medical
ISBN: 0309457971

Advances in cancer research have led to an improved understanding of the molecular mechanisms underpinning the development of cancer and how the immune system responds to cancer. This influx of research has led to an increasing number and variety of therapies in the drug development pipeline, including targeted therapies and associated biomarker tests that can select which patients are most likely to respond, and immunotherapies that harness the body's immune system to destroy cancer cells. Compared with standard chemotherapies, these new cancer therapies may demonstrate evidence of benefit and clearer distinctions between efficacy and toxicity at an earlier stage of development. However, there is a concern that the traditional processes for cancer drug development, evaluation, and regulatory approval could impede or delay the use of these promising cancer treatments in clinical practice. This has led to a number of effortsâ€"by patient advocates, the pharmaceutical industry, and the Food and Drug Administration (FDA)â€"to accelerate the review of promising new cancer therapies, especially for cancers that currently lack effective treatments. However, generating the necessary data to confirm safety and efficacy during expedited drug development programs can present a unique set of challenges and opportunities. To explore this new landscape in cancer drug development, the National Academies of Sciences, Engineering, and Medicine developed a workshop held in December 2016. This workshop convened cancer researchers, patient advocates, and representatives from industry, academia, and government to discuss challenges with traditional approaches to drug development, opportunities to improve the efficiency of drug development, and strategies to enhance the information available about a cancer therapy throughout its life cycle in order to improve its use in clinical practice. This publication summarizes the presentations and discussions from the workshop.

Personalized Medicine in Oncology

Personalized Medicine in Oncology
Author: Ari VanderWalde
Publisher:
Total Pages: 174
Release: 2022
Genre:
ISBN: 9783036528205

Nowhere is the explosion in comprehensive genomic testing more evident than in oncology. Multiple consensus guidelines now recommend molecular testing as the standard of care for most metastatic tumors. To aid in the advancement of this rapidly changing field, we intend this Special Issue of JPM to focus on technical developments in the genomic profiling of cancer, detail promising somatic alterations that either are, or have a high likelihood of being, relevant in the near future, and to address issues related to the pricing and value of these tests.The last few years have seen the cost of molecular testing decrease by orders of magnitude. In 2018, we saw the first “site-agnostic” drug approvals in cancer (for microsatellite unstable cancer (PD-1 inhibitors) and NTRK-fusions (TRK inhibitors)). Research on targetable mutations, determination of genetic “signatures” that can use multiple individual genes/pathways, development of targeted therapy, and insight into the value of new technology remains at the cutting edge of research in this field. We are soliciting papers that present new technologies to assess predictive biomarkers in cancer, original research (pre-clinical or clinical) that demonstrates promise for particular targeted therapies in cancer, and articles that explore the clinical and financial impacts of this paradigmatic shift in cancer diagnostics and treatment.

Cancer Evolution

Cancer Evolution
Author: Charles Swanton
Publisher: Perspectives Cshl
Total Pages: 350
Release: 2017
Genre: Medical
ISBN: 9781621821434

Tumor progression is driven by mutations that confer growth advantages to different subpopulations of cancer cells. As a tumor grows, these subpopulations expand, accumulate new mutations, and are subjected to selective pressures from the environment, including anticancer interventions. This process, termed clonal evolution, can lead to the emergence of therapy-resistant tumors and poses a major challenge for cancer eradication efforts. Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine examines cancer progression as an evolutionary process and explores how this way of looking at cancer may lead to more effective strategies for managing and treating it. The contributors review efforts to characterize the subclonal architecture and dynamics of tumors, understand the roles of chromosomal instability, driver mutations, and mutation order, and determine how cancer cells respond to selective pressures imposed by anticancer agents, immune cells, and other components of the tumor microenvironment. They compare cancer evolution to organismal evolution and describe how ecological theories and mathematical models are being used to understand the complex dynamics between a tumor and its microenvironment during cancer progression. The authors also discuss improved methods to monitor tumor evolution (e.g., liquid biopsies) and the development of more effective strategies for managing and treating cancers (e.g., immunotherapies). This volume will therefore serve as a vital reference for all cancer biologists as well as anyone seeking to improve clinical outcomes for patients with cancer.