Recent years have witnessed a constant increase in both the overall occurrences of cancers and the incidence of early-onset cancers, which brings an imminent epidemiological challenge. The key genes or signaling pathways as therapeutic targets were extensively identified, while relatively less focus was on other parts of the clinical routine, including diagnosis, prognosis, and prevention strategies before tumorigenesis. As a comprehensive entity comprised of molecular heterogeneities, cancer could be under the influence of various risk factors, including genomic alterations and environmental changes. However, only a few have been approved for clinical implementation, while more factors indicating cancer risk are still to be uncovered. Thus, revealing genetic-level risk factors, providing clinical paradigms, and uncovering underlying mechanisms linked to cancer progression is essential to inform the development of risk evaluation, cancer prevention, early diagnosis, treatment response prediction, and recurrence monitoring strategies.
This Research Topic aims to host a collection of studies to probe the complex aetiology of the cancer genome. We welcome studies that constructed new models, determined new risk factors, better characterized known factors, verified mechanisms, and provided novel techniques or novel clinical strategies based on genetic signatures of cancers. Authors are highly encouraged to submit original research articles and systematic reviews related to this topic. Research topics may include, but are not limited to:
• Most recent perspectives and developments in cancer epidemiology, including investigations on key factors related to diagnostic, prognostic, or other clinical procedures.
• Comprehensive review of current gene signatures with prognostic, preventive, and predictive value, conventional or novel methods for gene signature prediction, as well as future needs and challenges.
• Models or algorithms for predicting cancer risk, prognosis, recurrence, and other issues with clinical relevance based on the genetic information of patients.
• State-of-the-art approaches or new concepts to improve clinical practices of cancer.
• Identification and validation of functional mechanisms of specific signatures related to cancer risk.
• Discovery of potential prognostic and predictive molecular signatures, or markers linking to new cancer subtypes with specific clinical characteristics.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of the scope of this section and will not be accepted as part of this Research Topic.
Recent years have witnessed a constant increase in both the overall occurrences of cancers and the incidence of early-onset cancers, which brings an imminent epidemiological challenge. The key genes or signaling pathways as therapeutic targets were extensively identified, while relatively less focus was on other parts of the clinical routine, including diagnosis, prognosis, and prevention strategies before tumorigenesis. As a comprehensive entity comprised of molecular heterogeneities, cancer could be under the influence of various risk factors, including genomic alterations and environmental changes. However, only a few have been approved for clinical implementation, while more factors indicating cancer risk are still to be uncovered. Thus, revealing genetic-level risk factors, providing clinical paradigms, and uncovering underlying mechanisms linked to cancer progression is essential to inform the development of risk evaluation, cancer prevention, early diagnosis, treatment response prediction, and recurrence monitoring strategies.
This Research Topic aims to host a collection of studies to probe the complex aetiology of the cancer genome. We welcome studies that constructed new models, determined new risk factors, better characterized known factors, verified mechanisms, and provided novel techniques or novel clinical strategies based on genetic signatures of cancers. Authors are highly encouraged to submit original research articles and systematic reviews related to this topic. Research topics may include, but are not limited to:
• Most recent perspectives and developments in cancer epidemiology, including investigations on key factors related to diagnostic, prognostic, or other clinical procedures.
• Comprehensive review of current gene signatures with prognostic, preventive, and predictive value, conventional or novel methods for gene signature prediction, as well as future needs and challenges.
• Models or algorithms for predicting cancer risk, prognosis, recurrence, and other issues with clinical relevance based on the genetic information of patients.
• State-of-the-art approaches or new concepts to improve clinical practices of cancer.
• Identification and validation of functional mechanisms of specific signatures related to cancer risk.
• Discovery of potential prognostic and predictive molecular signatures, or markers linking to new cancer subtypes with specific clinical characteristics.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of the scope of this section and will not be accepted as part of this Research Topic.
