Emerging Tests for Noninvasive Colorectal Cancer Screening
Tài liệu tham khảo
Rawla, 2019, Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors, Prz Gastroenterol, 14, 89
Navarro, 2017, Colorectal cancer population screening programs worldwide in 2016: an update, World J Gastroenterol, 23, 3632, 10.3748/wjg.v23.i20.3632
Dickinson, 2015, Molecular markers for colorectal cancer screening, Gut, 64, 1485, 10.1136/gutjnl-2014-308075
Siegel, 2022, Cancer statistics, 2022, CA Cancer J Clin, 72, 7, 10.3322/caac.21708
Fisher, 2021, Utilization of a colorectal cancer screening test among individuals with average risk, JAMA Netw Open, 4, 10.1001/jamanetworkopen.2021.22269
Melson, 2020, AGA White Paper: roadmap for the future of colorectal cancer screening in the United States, Clin Gastroenterol Hepatol, 18, 2667, 10.1016/j.cgh.2020.06.053
Sly, 2013, Identifying barriers to colonoscopy screening for nonadherent African American participants in a patient navigation intervention, Health Educ Behav, 40, 449, 10.1177/1090198112459514
Fedewa, 2022, Changes in cancer screening in the US during the COVID-19 pandemic, JAMA Netw Open, 5, 10.1001/jamanetworkopen.2022.15490
Kalluri, 2020, The biology, function, and biomedical applications of exosomes, Science, 367, aau6977, 10.1126/science.aau6977
Alix-Panabieres, 2012, Circulating tumor cells and circulating tumor DNA, Annu Rev Med, 63, 199, 10.1146/annurev-med-062310-094219
Zhao, 2021, The potential use of dynamics changes of ctDNA and cfDNA in the perioperative period to predict the recurrence risk in early NSCLC, Front Oncol, 11
Myint, 2018, Circulating tumor DNA in patients with colorectal adenomas: assessment of detectability and genetic heterogeneity, Cell Death Dis, 9, 894, 10.1038/s41419-018-0934-x
Bettington, 2013, The serrated pathway to colorectal carcinoma: current concepts and challenges, Histopathology, 62, 367, 10.1111/his.12055
Goldstein, 2006, Serrated pathway and APC (conventional)-type colorectal polyps: molecular-morphologic correlations, genetic pathways, and implications for classification, Am J Clin Pathol, 125, 146, 10.1309/87BD0C6UCGUG236J
Noffsinger, 2009, Serrated polyps and colorectal cancer: new pathway to malignancy, Annu Rev Pathol, 4, 343, 10.1146/annurev.pathol.4.110807.092317
Ahlquist, 2000, Morphometric analysis of the "mucocellular layer" overlying colorectal cancer and normal mucosa: relevance to exfoliation and stool screening, Hum Pathol, 31, 51, 10.1016/S0046-8177(00)80198-7
Imperiale, 2014, Multitarget stool DNA testing for colorectal-cancer screening, N Engl J Med, 371, 187
Bosch, 2017, Novel stool-based protein biomarkers for improved colorectal cancer screening: a case-control study, Ann Intern Med, 167, 855, 10.7326/M17-1068
Burkitt, 1971, Epidemiology of cancer of the colon and rectum, Cancer, 28, 3, 10.1002/1097-0142(197107)28:1<3::AID-CNCR2820280104>3.0.CO;2-N
Flemer, 2017, Fecal microbiota variation across the lifespan of the healthy laboratory rat, Gut Microbes, 8, 428, 10.1080/19490976.2017.1334033
Burns, 2018, Colorectal cancer mutational profiles correlate with defined microbial communities in the tumor microenvironment, PLoS Genet, 14, 10.1371/journal.pgen.1007376
Kwong, 2018, Association between bacteremia from specific microbes and subsequent diagnosis of colorectal cancer, Gastroenterology, 155, 383, 10.1053/j.gastro.2018.04.028
Wirbel, 2019, Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer, Nat Med, 25, 679, 10.1038/s41591-019-0406-6
Yachida, 2019, Metagenomic and metabolomic analyses reveal distinct stage-specific phenotypes of the gut microbiota in colorectal cancer, Nat Med, 25, 968, 10.1038/s41591-019-0458-7
Tomkovich, 2017, Locoregional effects of microbiota in a preclinical model of colon carcinogenesis, Cancer Res, 77, 2620, 10.1158/0008-5472.CAN-16-3472
Yu, 2017, Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer, Gut, 66, 70, 10.1136/gutjnl-2015-309800
Liang, 2021, Fecal microbial DNA markers serve for screening colorectal neoplasm in asymptomatic subjects, J Gastroenterol Hepatol, 36, 1035, 10.1111/jgh.15171
Baxter, 2016, DNA from fecal immunochemical test can replace stool for detection of colonic lesions using a microbiota-based model, Microbiome, 4, 59, 10.1186/s40168-016-0205-y
Krigul, 2021, Using fecal immunochemical tubes for the analysis of the gut microbiome has the potential to improve colorectal cancer screening, Sci Rep, 11, 10.1038/s41598-021-99046-w
Zeller, 2014, Potential of fecal microbiota for early-stage detection of colorectal cancer, Mol Syst Biol, 10, 766, 10.15252/msb.20145645
Wu, 2021, Identification of microbial markers across populations in early detection of colorectal cancer, Nat Commun, 12, 3063, 10.1038/s41467-021-23265-y
Pleguezuelos-Manzano, 2020, Mutational signature in colorectal cancer caused by genotoxic pks, Nature, 580, 269, 10.1038/s41586-020-2080-8
Zhu, 2014, Colorectal cancer detection using targeted serum metabolic profiling, J Proteome Res, 13, 4120, 10.1021/pr500494u
Coker, 2022, Altered gut metabolites and microbiota interactions are implicated in colorectal carcinogenesis and can be non-invasive diagnostic biomarkers, Microbiome, 10, 35, 10.1186/s40168-021-01208-5
Zhu, 2015, Targeted serum metabolite profiling and sequential metabolite ratio analysis for colorectal cancer progression monitoring, Anal Bioanal Chem, 407, 7857, 10.1007/s00216-015-8984-8
Church, 2014, Prospective evaluation of methylated SEPT9 in plasma for detection of asymptomatic colorectal cancer, Gut, 63, 317, 10.1136/gutjnl-2012-304149
Rex, 2017, Colorectal cancer screening: recommendations for physicians and patients from the U.S. Multi-Society Task Force on Colorectal Cancer, Gastroenterology, 153, 307, 10.1053/j.gastro.2017.05.013
Almeida-Lousada, 2021, Screening for colorectal cancer leading into a new decade: the "roaring '20s" for epigenetic biomarkers?, Curr Oncol, 28, 4874, 10.3390/curroncol28060411
Rho, 2017, Comparing clinical characteristics and outcomes of young-onset and late-onset colorectal cancer: an international collaborative study, Clin Colorectal Cancer, 16, 334, 10.1016/j.clcc.2017.03.008
Kleif, 2022, Early detection of colorectal neoplasia: application of a blood-based serological protein test on subjects undergoing population-based screening, Br J Cancer, 126, 1387, 10.1038/s41416-022-01712-x
Parkinson, 2016, Exploratory analysis of TP53 mutations in circulating tumour DNA as biomarkers of treatment response for patients with relapsed high-grade serous ovarian carcinoma: a retrospective study, PLoS Med, 13, 10.1371/journal.pmed.1002198
Stewart, 2018, Circulating cell-free DNA for non-invasive cancer management, Cancer Genet, 228-229, 169, 10.1016/j.cancergen.2018.02.005
Li, 2021, Incidence, mortality, survival, risk factor and screening of colorectal cancer: a comparison among China, Europe, and northern America, Cancer Lett, 522, 255, 10.1016/j.canlet.2021.09.034
Matas, 2022, Colorectal cancer is associated with the presence of cancer driver mutations in normal colon, Cancer Res, 82, 1492, 10.1158/0008-5472.CAN-21-3607
Lee-Six, 2019, The landscape of somatic mutation in normal colorectal epithelial cells, Nature, 574, 532, 10.1038/s41586-019-1672-7
Abbosh, 2018, Early stage NSCLC: challenges to implementing ctDNA-based screening and MRD detection, Nat Rev Clin Oncol, 15, 577, 10.1038/s41571-018-0058-3
Fitzgerald, 2022, The future of early cancer detection, Nat Med, 28, 666, 10.1038/s41591-022-01746-x
Network, 2012, Comprehensive molecular characterization of human colon and rectal cancer, Nature, 487, 330, 10.1038/nature11252
Luo, 2013, Developing proteomics-based biomarkers for colorectal neoplasms for clinical practice: opportunities and challenges, Proteomics Clin Appl, 7, 30, 10.1002/prca.201200071
Shen, 2018, Epigenomics alternations and dynamic transcriptional changes in responses to 5-fluorouracil stimulation reveal mechanisms of acquired drug resistance of colorectal cancer cells, Pharmacogenomics J, 18, 23, 10.1038/tpj.2016.91
Shen, 2018, Sensitive tumour detection and classification using plasma cell-free DNA methylomes, Nature, 563, 579, 10.1038/s41586-018-0703-0
Luo, 2020, Circulating tumor DNA methylation profiles enable early diagnosis, prognosis prediction, and screening for colorectal cancer, Sci Transl Med, 12, aax7533, 10.1126/scitranslmed.aax7533
Cohen, 2018, Detection and localization of surgically resectable cancers with a multi-analyte blood test, Science, 359, 926, 10.1126/science.aar3247
Klein, 2021, Clinical validation of a targeted methylation-based multi-cancer early detection test using an independent validation set, Ann Oncol, 32, 1167, 10.1016/j.annonc.2021.05.806
Wan, 2019, Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA, BMC Cancer, 19, 832, 10.1186/s12885-019-6003-8
Lo, 2021, Epigenetics, fragmentomics, and topology of cell-free DNA in liquid biopsies, Science, 372, aaw3616, 10.1126/science.aaw3616
Gai, 2019, Epigenetic biomarkers in cell-free DNA and applications in liquid biopsy, Genes (Basel), 10, 32, 10.3390/genes10010032
Bhardwaj, 2017, Cell line secretome and tumor tissue proteome markers for early detection of colorectal cancer: a systematic review, Cancers (Basel), 9, 156, 10.3390/cancers9110156
Wilhelmsen, 2017, Detection of colorectal neoplasia: combination of eight blood-based, cancer-associated protein biomarkers, Int J Cancer, 140, 1436, 10.1002/ijc.30558
Wen, 2015, Genome-scale detection of hypermethylated CpG islands in circulating cell-free DNA of hepatocellular carcinoma patients, Cell Res, 25, 1250, 10.1038/cr.2015.126
Harlid, 2021, A two-tiered targeted proteomics approach to identify pre-diagnostic biomarkers of colorectal cancer risk, Sci Rep, 11, 5151, 10.1038/s41598-021-83968-6
Lee, 2021, Multimodal circulating tumor DNA (ctDNA) colorectal neoplasia detection assay for asymptomatic and early-stage colorectal cancer (CRC), J Clin Oncol, 39
Kim, 2021
Raymond, 2021, Evaluation of the ctDNA LUNAR-2 Test in an Average Patient Screening Episode (ECLIPSE), J Clin Oncol, 39
Lin, 2021, Evaluation of a sensitive blood test for the detection of colorectal advanced adenomas in a prospective cohort using a multiomics approach, J Clin Oncol, 39, 43, 10.1200/JCO.2021.39.3_suppl.43
Liu, 2019, Spatial co-fragmentation pattern of cell-free DNA recapitulates in vivo chromatin organization and identifies tissues-of-origin, BioRxiv
Putcha, 2020, Blood-based detection of early-stage colorectal cancer using multiomics and machine learning, J Clin Oncol, 38, 23, 10.1200/JCO.2020.38.4_suppl.66
Friedland, 2022, Development and clinical validation of a blood test for early detection of colorectal adenomas and cancer for screening and postpolypectomy surveillance, Gastro Hep Advances, 1, 223, 10.1016/j.gastha.2021.11.004