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Robust Glycogene-Based Prognostic Signature with regard to Good Mismatch Repair Intestines Adenocarcinoma.
y estimate the contribution of potential explanatory factors for these inequalities, which may translate into effective interventions to improve survival for disadvantaged cancer patients.Owing to their evolutionary potential, plant pathogens are able to rapidly adapt to genetically controlled plant resistance, often resulting in resistance breakdown and major epidemics in agricultural crops. Various deployment strategies have been proposed to improve resistance management. Globally, these rely on careful selection of resistance sources and their combination at various spatiotemporal scales (e.g., via gene pyramiding, crop rotations and mixtures, landscape mosaics). However, testing and optimizing these strategies using controlled experiments at large spatiotemporal scales are logistically challenging. Mathematical models provide an alternative investigative tool, and many have been developed to explore resistance deployment strategies under various contexts. This review analyzes 69 modeling studies in light of specific model structures (e.g., demographic or demogenetic, spatial or not), underlying assumptions (e.g., whether preadapted pathogens are present before resistance deployment), and evaluation criteria (e.g., resistance durability, disease control, cost-effectiveness). It highlights major research findings and discusses challenges for future modeling efforts. Expected final online publication date for the Annual Review of Phytopathology, Volume 59 is August 2021. Please see http//www.annualreviews.org/page/journal/pubdates for revised estimates.People experiencing homelessness are particularly vulnerable when diagnosed with pancreatic cancer. Patients with lower socioeconomic status have worse outcomes from pancreatic cancer as the result of disparities in access to treatment and barriers to navigation of the health care system. Patients with lower socioeconomic status, or who are vulnerably housed, are less likely to receive surgical treatment even when it is recommended by National Comprehensive Cancer Network guidelines. This disparity in access to surgical care explains much of the gap in pancreatic cancer outcomes. There are many factors that contribute to this disparity in surgical management of pancreatic cancer in people experiencing homelessness. These include a lack of reliable transportation, feeling unwelcome in the medical setting, a lack of primary care and health insurance, and implicit biases of health care providers, including racial bias. read more Solutions that focus on rectifying these problems include utilizing patient navigators, addressing implicit biases of all health care providers and staff, creating an environment that caters to the needs of patients experiencing homelessness, and improving their access to insurance and regional support networks. Implementing these potential solutions all the way from the individual provider to national safety nets could improve outcomes for patients with pancreatic cancer who are experiencing homelessness.Black men have a higher prevalence of and mortality rate from prostate cancer compared with White men and have been shown to present with more aggressive and later-stage disease. How prostate cancer treatment affects these racial disparities is still unclear. Several studies have shown that Black men who receive treatment have a more pronounced decrease in prostate cancer-specific death; however, there remains a large disparity in all-cause mortality. This disparity may be in part related to a higher risk of death resulting from comorbidities, given the higher rates of cardiovascular disease and diabetes in Black men, both of which are complicated by the use of androgen-deprivation therapy. To further understand these disparities, it is important that we analyze the racial differences in adverse event rates and severity. Increasing the percentage of Black men in clinical trials will improve the understanding of the biologic drivers of racial disparities in prostate cancer. To evaluate the potential differences in adverse event reporting and demonstrate the feasibility of enrolling equal numbers of Black and White men in trials, we performed a prospective, multicenter study of abiraterone plus prednisone with androgen-deprivation therapy in men with metastatic castration-resistant prostate cancer, stratified by race. Racial differences in prostate-specific antigen kinetics and toxicity profile were demonstrated. Higher rates and severity of adverse events related to adrenal hormone suppression, including hypertension, hypokalemia, and hypomagnesemia, were seen in the Black cohort, not previously reported. Increased enrollment of Black men in prostate cancer clinical trials is imperative to further understand the impact of race on clinical outcomes and treatment tolerability.The advent of large-scale high-performance computing has allowed the development of machine-learning techniques in oncologic applications. Among these, there has been substantial growth in radiomics (machine-learning texture analysis of images) and artificial intelligence (which uses deep-learning techniques for "learning algorithms"); however, clinical implementation has yet to be realized at scale. To improve implementation, opportunities, mechanics, and challenges, models of imaging-enabled artificial intelligence approaches need to be understood by clinicians who make the treatment decisions. This article aims to convey the basic conceptual premises of radiomics and artificial intelligence using head and neck cancer as a use case. This educational overview focuses on approaches for head and neck oncology imaging, detailing current research efforts and challenges to implementation.Performing germline and somatic sequencing in locally advanced and metastatic pancreatic cancer can identify potentially targetable genomic aberrations that impact current standard treatment options or eligibility for biomarker-targeted clinical trials. Testing for deleterious germline mutations in BRCA1/2 impacts patient selection for platinum-based chemotherapy regimens and selection of patients who are candidates to receive maintenance therapy with olaparib. Additional germline mutations also similarly introduce potential vulnerabilities to the cancers that arise and may be targeted by clinical trials. Somatic mutation testing also provides opportunities for optimal selection of patients for biomarker-driven clinical trials. Although KRAS mutations are found in 90% to 93% of pancreatic cancers, there are increasing opportunities for therapies against particular mutant KRAS isoforms, especially with the advent of KRAS G12C-specific small molecule inhibitors, and KRAS targeting trials will increasingly require identification of the specific KRAS mutation present.
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