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Cancer PHGKB

Specific PHGKB|Cancer|PHGKB
Last Posted: Nov 27, 2021
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Digital twins for predictive oncology will be a paradigm shift for precision cancer care
TH Boussard et al, Nature Medicine, November 2, 2021

Cancer patient digital twins (CPDTs) use emerging computing and biotechnologies to build in silico individual representations that dynamically reflect molecular, physiological and lifestyle status across different treatments and time. We propose a CPDT framework with a continuous life cycle for shared decision-making.

Geometric network analysis provides prognostic information in patients with high grade serous carcinoma of the ovary treated with immune checkpoint inhibitors
R Elkin et al, NPJ Genomic Medicine, November 24, 2021

Network analysis methods can potentially quantify cancer aberrations in gene networks without introducing fitted parameters or variable selection. A new network curvature-based method is introduced to provide an integrated measure of variability within cancer gene networks. The method is applied to high-grade serous ovarian cancers (HGSOCs) to predict response to immune checkpoint inhibitors (ICIs) and to rank key genes associated with prognosis.

Readiness for mammography and artificial intelligence
CD Lehman et al, The Lancet, November 20, 2021

One area that has attracted great attention for the use of deep learning artificial intelligence (AI) in health care is medical imaging, especially mammography. Many initial AI studies proclaimed remarkable improvement in accuracy over the performance of radiologists, but a recent systematic review highlighted there is insufficient scientific evidence to support such findings.

Pancreatic cancer evolution and heterogeneity: integrating omics and clinical data
AA Connor et al, Nat Rev Cancer, November 17, 2021

Decades of research have improved our understanding of pancreatic cancer, including characterizing germline predisposition, the cell of origin, precursor lesions, the sequence of genetic alterations, including simple and structural alterations, transcriptional changes and subtypes, tumor heterogeneity, metastatic progression and the tumor microenvironment. These fundamental advances inform contemporary translational efforts in primary prevention, screening and early detection, multidisciplinary management and survivorship, as prospective clinical trials begin to adopt molecular-based selection criteria to guide targeted therapies.


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Constructing germline research cohorts from the discarded reads of clinical tumor sequences. External Web Site Icon
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Germline Predisposition to Pediatric Cancer, from Next Generation Sequencing to Medical Care. External Web Site Icon
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Hereditary cancer panel testing challenges and solutions for the latinx community: costs, access, and variants. External Web Site Icon
Douglas Michael P et al. Journal of community genetics 2021
Integrating NGS-derived mutational profiling in the diagnosis of multiple lung adenocarcinomas. External Web Site Icon
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Patient-Reported Factors Associated With Older Adults' Cancer Screening Decision-making: A Systematic Review. External Web Site Icon
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Polygenic risk score across distinct colorectal cancer screening outcomes: from premalignant polyps to colorectal cancer. External Web Site Icon
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Prospective molecular classification of endometrial carcinomas: institutional implementation, practice, and clinical experience. External Web Site Icon
Devereaux Kelly A et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2021
Racial and Ethnic Disparities Among Participants in Precision Oncology Clinical Studies. External Web Site Icon
Aldrighetti Christopher M et al. JAMA network open 2021 4(11) e2133205
The CIRCULATE Trial: Circulating Tumor DNA Based Decision for Adjuvant Treatment in Colon Cancer Stage II Evaluation (AIO-KRK-0217). External Web Site Icon
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The prevalence of tumour markers in malignant pleural effusions associated with primary pulmonary adenocarcinoma: a retrospective study. External Web Site Icon
Fjaellegaard Katrine et al. European clinical respiratory journal 2021 8(1) 1984375
TP53 Combined Phenotype Score Is Associated with the Clinical Outcome of TP53-Mutated Myelodysplastic Syndromes. External Web Site Icon
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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