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Cancers
Special Issues
Genomics-Guided Radiotherapy in Cancer
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Genomics-Guided Radiotherapy in Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2240

Special Issue Editors

Dr. Sarah L. Kerns

E-Mail Website
Guest Editor
Medical College of Wisconsin, Milwaukee, WI 53226, USA
Interests: radiogenomics; use of statistical genetics to develop risk models; uncover novel radiobiologic mechanisms
Dr. William A. Hall

E-Mail Website
Guest Editor
Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
Interests: MRI-guided radiation; pancreatic cancer; prostate cancer; rectal cancer; immuno-modulation

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to this Special Issue on “Genomics-Guided Radiotherapy in Cancer”. Advances in human genomics have enabled personalized medicine to enter the realm of clinical oncology, guiding screening, prognosis, and treatment selection to improve cancer outcomes. Early discoveries have been most applicable to medical oncology by, for example, guiding the development and use of genomically targeted therapeutics based on somatic alterations. Research in radiation oncology has similarly made significant advances in uncovering the genomic basis of tumor and tissue response to radiation. The specialty is now poised to use genomic information to guide patient selection, optimize radiotherapy plans, inform the targeted use of increasingly conformal radiation modalities, and point to novel radiobiologic mechanisms for the development of new sensitizing or mitigating agents.

This Special Issue aim to highlight the current state of the science in malignant and normal tissue radiation response with a focus on future prospects for improving personalization of treatment planning and development of mechanistically targeted tumor radiosensitizers and normal tissue radioprotectors. Original research articles and reviews are welcome. Research areas may include (but are not limited to) genomics, epigenomics, and transcriptomics of therapeutic radiation response of tumor and/or relevant normal tissues. We welcome clinical studies as well as basic and translational investigations that have the potential to inform clinical care.

We look forward to receiving your contributions.

Dr. Sarah L. Kerns
Dr. William A. Hall
Guest Editors

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 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

  • radiogenomics
  • personalized radiotherapy
  • radiosensitivity
  • precision oncology
  • genomics-guided

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

16 pages, 4713 KiB  
Article
Impact on the Transcriptome of Proton Beam Irradiation Targeted at Healthy Cardiac Tissue of Mice
by Claudia Sala, Martina Tarozzi, Giorgia Simonetti, Martina Pazzaglia, Francesco Paolo Cammarata, Giorgio Russo, Rosaria Acquaviva, Giuseppe Antonio Pablo Cirrone, Giada Petringa, Roberto Catalano, Valerio Cosimo Elia, Francesca Fede, Lorenzo Manti, Gastone Castellani, Daniel Remondini and Isabella Zironi
Cancers 2024, 16(8), 1471; https://doi.org/10.3390/cancers16081471 - 11 Apr 2024
Viewed by 1696
Abstract
Proton beam therapy is considered a step forward with respect to electromagnetic radiation, thanks to the reduction in the dose delivered. Among unwanted effects to healthy tissue, cardiovascular complications are a known long-term radiotherapy complication. The transcriptional response of cardiac tissue from xenografted [...] Read more.
Proton beam therapy is considered a step forward with respect to electromagnetic radiation, thanks to the reduction in the dose delivered. Among unwanted effects to healthy tissue, cardiovascular complications are a known long-term radiotherapy complication. The transcriptional response of cardiac tissue from xenografted BALB/c nude mice obtained at 3 and 10 days after proton irradiation covering both the tumor region and the underlying healthy tissue was analyzed as a function of dose and time. Three doses were used: 2 Gy, 6 Gy, and 9 Gy. The intermediate dose had caused the greatest impact at 3 days after irradiation: at 2 Gy, 219 genes were differently expressed, many of them represented by zinc finger proteins; at 6 Gy, there were 1109, with a predominance of genes involved in energy metabolism and responses to stimuli; and at 9 Gy, there were 105, mainly represented by zinc finger proteins and molecules involved in the regulation of cardiac function. After 10 days, no significant effects were detected, suggesting that cellular repair mechanisms had defused the potential alterations in gene expression. The nonlinear dose–response curve indicates a need to update the models built on photons to improve accuracy in health risk prediction. Our data also suggest a possible role for zinc finger protein genes as markers of proton therapy efficacy. Full article
(This article belongs to the Special Issue Genomics-Guided Radiotherapy in Cancer)
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