Genetic/Non-genetic Tumor Heterogeneity

A special issue of Cancers (ISSN 2072-6694).

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 5366

Special Issue Editor


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Guest Editor
Division of Thoracic Surgery, Department of Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
Interests: lung cancer; tumor heterogeneity; inherent and acquired resistance mechanisms; EGFR mutation; biomarkers; immunotherapy
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Special Issue Information

Dear Colleagues, 

Cancer cells evolve by acquiring novel genetic/non-genetic aberrations, partially due to their genetic instability, and by adapting to changing conditions. Such evolution of cancer cells is often overlaid with Darwinian evolution, and as cancer cells spread into a new circumstance (metastasis), the diversity of the cancer cells further increases. As a result, patients’ tumors possess a considerable amount of tumor heterogeneity at various levels, e.g., morphological, cellular, molecular, and/or metabolic levels. Such diversity in human cancers has long been recognized, however, recent rapid advents of next-generation sequencing (NGS) technologies have accelerated research for tumor heterogeneity and have transformed our understanding of the extent of genetic heterogeneity in various human cancers.

This Special Issue welcomes all aspects of tumor heterogeneity, intra-tumor heterogeneity and inter-lesion heterogeneity, in terms of genetic/non-genetic (molecular) levels, cellular and histological levels, tumor microenvironment levels including infiltrating immune cells, metabolic levels, and associations between these various levels of tumor heterogeneity (e.g., how molecular-level tumor heterogeneity affects infiltration of immune cells). This Special Issue especially welcomes manuscripts that report the roles of tumor heterogeneity in drug resistance. Due to the diversity of cancer cells, they do not uniformly respond to treatments; minor clones with inherent resistance or treatment inducible drug tolerant cells survive. Furthermore, heterogeneity in the acquired resistance mechanisms to the front-line therapy will reduce the efficacy of the next treatment.

With the clinical application of molecular targeted therapies and cancer immunotherapies, cancer treatment has become a precision medicine. The precise treatment means that a small change in cancer cells may affect the efficacy of the treatment. I expect that papers that will be published in this Special Issue will help us to further understand tumor heterogeneity and to propose novel treatment strategies to eradicate all the cancer cells beyond the tumor heterogeneity.

Dr. Kenichi Suda
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intra-tumor heterogeneity (ITH)
  • metastases
  • molecular evolution
  • molecular phylogenetics
  • biomarkers
  • inherent and acquired resistance
  • nest generation sequencing (NGS)

Published Papers (2 papers)

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Research

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20 pages, 3531 KiB  
Article
Geostatistical Modeling and Heterogeneity Analysis of Tumor Molecular Landscape
by Morteza Hajihosseini, Payam Amini, Dan Voicu, Irina Dinu and Saumyadipta Pyne
Cancers 2022, 14(21), 5235; https://0-doi-org.brum.beds.ac.uk/10.3390/cancers14215235 - 25 Oct 2022
Cited by 3 | Viewed by 1838
Abstract
Intratumor heterogeneity (ITH) is associated with therapeutic resistance and poor prognosis in cancer patients, and attributed to genetic, epigenetic, and microenvironmental factors. We developed a new computational platform, GATHER, for geostatistical modeling of single cell RNA-seq data to synthesize high-resolution and continuous gene [...] Read more.
Intratumor heterogeneity (ITH) is associated with therapeutic resistance and poor prognosis in cancer patients, and attributed to genetic, epigenetic, and microenvironmental factors. We developed a new computational platform, GATHER, for geostatistical modeling of single cell RNA-seq data to synthesize high-resolution and continuous gene expression landscapes of a given tumor sample. Such landscapes allow GATHER to map the enriched regions of pathways of interest in the tumor space and identify genes that have spatial differential expressions at locations representing specific phenotypic contexts using measures based on optimal transport. GATHER provides new applications of spatial entropy measures for quantification and objective characterization of ITH. It includes new tools for insightful visualization of spatial transcriptomic phenomena. We illustrate the capabilities of GATHER using real data from breast cancer tumor to study hallmarks of cancer in the phenotypic contexts defined by cancer associated fibroblasts. Full article
(This article belongs to the Special Issue Genetic/Non-genetic Tumor Heterogeneity)
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Review

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19 pages, 3068 KiB  
Review
Dissecting the Genetic and Non-Genetic Heterogeneity of Acute Myeloid Leukemia Using Next-Generation Sequencing and In Vivo Models
by Rhea H. Desai, Niloofar Zandvakili and Stefan K. Bohlander
Cancers 2022, 14(9), 2182; https://0-doi-org.brum.beds.ac.uk/10.3390/cancers14092182 - 27 Apr 2022
Cited by 5 | Viewed by 2874
Abstract
Acute myeloid leukemia (AML) is an extremely aggressive and heterogeneous disorder that results from the transformation of hematopoietic stem cells. Although our understanding of the molecular pathology of AML has greatly improved in the last few decades, the overall and relapse free survival [...] Read more.
Acute myeloid leukemia (AML) is an extremely aggressive and heterogeneous disorder that results from the transformation of hematopoietic stem cells. Although our understanding of the molecular pathology of AML has greatly improved in the last few decades, the overall and relapse free survival rates among AML patients remain quite poor. This is largely due to evolution of the disease and selection of the fittest, treatment-resistant leukemic clones. There is increasing evidence that most AMLs possess a highly complex clonal architecture and individual leukemias are comprised of genetically, phenotypically and epigenetically distinct clones, which are continually evolving. Advances in sequencing technologies as well as studies using murine AML models have provided further insights into the heterogeneity of leukemias. We will review recent advances in the field of genetic and non-genetic heterogeneity in AML. Full article
(This article belongs to the Special Issue Genetic/Non-genetic Tumor Heterogeneity)
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