Effective August 1, 2024, this database was discontinued. All content will remain searchable and be preserved online for historical purposes only until 2029.
Colorectal Cancer
What's New
Last Posted: Jun 27, 2024
- Effectiveness of colorectal cancer screening integrating non-genetic and genetic risk: a prospective study based on UK Biobank data.
Yu Zhang et al. Cancer Biol Med 2024 - Personalized prediction of survival rate with combination of penalized Cox models in patients with colorectal cancer.
Seon Hwa Lee et al. Medicine (Baltimore) 2024 103(24) e38584 - Population-Level Identification of Patients With Lynch Syndrome for Clinical Care, Quality Improvement, and Research.
Ravi N Sharaf et al. JCO Clin Cancer Inform 2024 8e2300157 - Prediction of Lymph Node Metastasis in T1 Colorectal Cancer Using Artificial Intelligence with Hematoxylin and Eosin-Stained Whole-Slide-Images of Endoscopic and Surgical Resection Specimens.
Joo Hye Song et al. Cancers (Basel) 2024 16(10) - A novel colorectal cancer screening framework with feature interpretability to identify high-risk populations for colonoscopy.
Mingshan Li et al. J Gastroenterol Hepatol 2024 - The State of State Biomarker Testing Insurance Coverage Laws
- Comparative analysis of genetic testing utilization rates among people with and without disabilities in South Korea from 2016 to 2019, focusing on malignant neoplasms: A national population-based study.
Gwanwook Bang et al. Cancer Med 2024 13(9) e7102 - Diagnosis, treatment, and surveillance of Diamond-Blackfan anaemia syndrome: international consensus statement.
Marcin W Wlodarski et al. Lancet Haematol 2024 11(5) e368-e382 - National Experiences from 30 Years of Provider-Mediated Cascade Testing in Lynch Syndrome Families-The Danish Model.
Lars Joachim Lindberg et al. Cancers (Basel) 2024 16(8) - Correlation between NGS panel-based mutation results and clinical information in colorectal cancer patients.
Bo Cheng et al. Heliyon 2024 10(7) e29299 - The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information.
Tiantian Wu et al. Clin Nutr 2024 43(5) 1151-1161 - Colorectal Cancer Risk between Mendelian and Non-Mendelian Inheritance.
Elizabeth A Hibler et al. Clin Colon Rectal Surg 2024 37(3) 140-145 - Integration of pathologic characteristics, genetic risk and lifestyle exposure for colorectal cancer survival assessment
J Xin et al, Nature Comm, April 8, 2024 - Is Risk-Stratifying Patients with Colorectal Cancer Using a Deep Learning-Based Prognostic Biomarker Cost-Effective?
Anna Kenseth et al. Pharmacoeconomics 2024 - Effectiveness and Cost-Effectiveness of Colorectal Cancer Screening With a Blood Test That Meets the Centers for Medicare & Medicaid Services Coverage Decision.
Rosita van den Puttelaar et al. Gastroenterology 2024 - What to Know About Lynch Syndrome
ThedaCare Genetic Counseling, March 2024 - Low Rates of Colorectal Cancer Screening in Our Patients' First-Degree Relatives: Are We Failing Them?
Anyelin Almanzar et al. Dis Colon Rectum 2024 - Predicting mortality and recurrence in colorectal cancer: Comparative assessment of predictive models.
Shayeste Alinia et al. Heliyon 2024 10(6) e27854 - Lynch Syndrome Ups Risk for Colorectal, Other Cancers
E Herlache, Cancer Care, March 2024 - A Cell-free DNA Blood-Based Test for Colorectal Cancer Screening.
Daniel C Chung et al. N Engl J Med 2024 3 (11) 973-983 - Cell-free DNA for Colorectal Cancer Screening.
Y M Dennis Lo et al. N Engl J Med 2024 3 (11) 1047-1050 - Improving Noninvasive Colorectal Cancer Screening.
John M Carethers et al. N Engl J Med 2024 3 (11) 1045-1046 - Next-Generation Multitarget Stool DNA Test for Colorectal Cancer Screening.
Thomas F Imperiale et al. N Engl J Med 2024 3 (11) 984-993 - Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests.
Huijie Wang et al. Front Oncol 2024 141325514 - Polygenic risk scores, radiation treatment exposures and subsequent cancer risk in childhood cancer survivors.
Todd M Gibson et al. Nat Med 2024 - Screening for colorectal cancer by full colonoscopy in first-degree relatives of colorectal cancer patients: a multicentric study by the Italian League for the Fight against Cancer.
Giacomo Diedenhofen et al. Ann Ig 2024 - Commentary: An artificial intelligence prediction model outperforms conventional guidelines in predicting lymph node metastasis of T1 colorectal cancer.
Katsuro Ichimasa et al. Front Oncol 2024 141337576 - The comprehensive English National Lynch Syndrome Registry: development and description of a new genomics data resource.
Catherine Huntley et al. EClinicalMedicine 2024 69102465 - Identification of people with Lynch syndrome from those presenting with colorectal cancer in England: baseline analysis of the diagnostic pathway
FE McRonald et al, EJHG, February 15, 2024 - Colorectal cancer genetic referral: Are we doing enough?
Whitnee C Broyles et al. Proc (Bayl Univ Med Cent) 2024 37(2) 250-254 - Correlates of U.S. Adults Aged 50-75 Years Having Had a Colorectal Cancer Screening Test.
Aisha T Langford et al. AJPM Focus 2024 3(2) 100187 - A systematic evaluation of big data-driven colorectal cancer studies.
Eslam Bani Mohammad et al. Med Glas (Zenica) 2024 21(1) 63-77 - Machine learning-based classifiers to predict metastasis in colorectal cancer patients.
Raheleh Talebi et al. Front Artif Intell 2024 71285037 - Maximizing scarce colonoscopy resources: the crucial role of Stool-Based tests.
Gloria D Coronado et al. J Natl Cancer Inst 2024 2 - Classification and Diagnostic Prediction of Colorectal Cancer Mortality Based on Machine Learning Algorithms: A Multicenter National Study.
Gohar Mohammadi et al. Asian Pac J Cancer Prev 2024 25(1) 333-342 - Concurrent Tissue and Circulating Tumor DNA Molecular Profiling to Detect Guideline-Based Targeted Mutations in a Multicancer Cohort.
Wade T Iams et al. JAMA Netw Open 2024 7(1) e2351700 - Surveillance Compliance and Quality of Life Assessment Among Surgical Patients with Familial Adenomatous Polyposis Syndrome.
Noura Alhassan et al. J Epidemiol Glob Health 2024 - Current implications and challenges of artificial intelligence technologies in therapeutic intervention of colorectal cancer.
Kriti Das et al. Explor Target Antitumor Ther 2024 4(6) 1286-1300 - Prediction of Chemotherapy Efficacy in Patients with Colorectal Cancer Ovarian Metastases: A Preliminary Study Using Contrast-Enhanced Computed-Tomography-Based Radiomics.
Jinghan Yu et al. Diagnostics (Basel) 2024 14(1) - Remembering My Brother Who Died of Cancer January 11, 2024 Georgia Hurst Blog Article
G Hurst, Cure, January 11, 2024
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About Cancer PHGKB
Cancer PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to cancer...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch 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.
- Page last reviewed:Feb 1, 2024
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