The DOI matches its Crossref record; 36 of the 37 references it cites were found in a registry or an index.
Detection and localization of surgically resectable cancers with a multi-analyte blood test
Open accessAbstract
SEEK and you may find cancer earlier: Many cancers can be cured by surgery and/or systemic therapies when detected before they have metastasized. This clinical reality, coupled with the growing appreciation that cancer's rapid genetic evolution limits its response to drugs, have fueled interest in methodologies for earlier detection of the disease. Cohen et al. developed a noninvasive blood test, called CancerSEEK that can detect eight common human cancer types (see the Perspective by Kalinich and Haber). The test assesses eight circulating protein biomarkers and tumor-specific mutations in circulating DNA. In a study of 1000 patients previously diagnosed with cancer and 850 healthy control individuals, CancerSEEK detected cancer with a sensitivity of 69 to 98% (depending on cancer type) and 99% specificity. Science , this issue p. 926 ; see also p. 866
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Regularization and Variable Selection Via the Elastic Net
Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957
Regularization Paths for Generalized Linear Models via Coordinate Descent
Friedman, J., Hastie, T., & Tibshirani, R. (2010) · Journal of Statistical Software · doi:10.18637/jss.v033.i01 · Cited by 19,927
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
Self-citationDetection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies
Bettegowda, C., Sausen, M., Leary, R. J., Kinde, I., Wang, Y., Agrawal, N., Bartlett, B. R., Wang, H., Luber, B., Alani, R. M., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007094 · Cited by 5,067
Self-citationAge-related clonal hematopoiesis associated with adverse outcomes
Jaiswal, S., Fontanillas, P., Flannick, J., Manning, A., Grauman, P. V., Mar, B. G., Lindsley, R. C., Mermel, C. H., Burtt, N., Chavez, A., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408617 · Cited by 4,841
Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer
Dawson, S.-J., Tsui, D. W. Y., Murtaza, M., Biggs, H., Rueda, O. M., Chin, S.-F., Dunning, M. J., Gale, D., Forshew, T., Mahler-Araujo, B., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1213261 · Cited by 2,207
COSMIC: somatic cancer genetics at high-resolution
Forbes, S. A., Beare, D., Boutselakis, H., Bamford, S., Bindal, N., Tate, J., Cole, C. G., Ward, S., Dawson, E., Ponting, L., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1121 · Cited by 1,922
Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution
Abbosh, C., Birkbak, N. J., Wilson, G. A., Jamal‐Hanjani, M., Constantin, T. P., Salari, R., Quesne, J. P. C. L., Moore, D. A., Veeriah, S., Rosenthal, R., et al. (2017) · Nature · doi:10.1038/nature22364 · Cited by 1,900
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A view on drug resistance in cancer
Vasan, N., Baselga, J., & Hyman, D. M. (2019) · Nature · doi:10.1038/s41586-019-1730-1 · Cited by 2,770
Anand, U., Dey, A., Chandel, A. K. S., Sanyal, R., Mishra, A., Pandey, D. K., Falco, V. D., Upadhyay, A., Kandimalla, R. J. L., Chaudhary, A., et al. (2022) · Genes & Diseases · doi:10.1016/j.gendis.2022.02.007 · Cited by 2,011
Artificial intelligence in cancer imaging: Clinical challenges and applications
Bi, W. L., Hosny, A., Schabath, M. B., Giger, M. L., Birkbak, N. J., Mehrtash, A., Allison, T., Arnaout, O., Abbosh, C., Dunn, I. F., et al. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21552 · Cited by 1,846
Current and future perspectives of liquid biopsies in genomics-driven oncology
Heitzer, E., Haque, I. S., Roberts, C. E. S., & Speicher, M. R. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0071-5 · Cited by 1,557
Liu, M. C., Oxnard, G. R., Klein, E. A., Swanton, C., Seiden, M. V., Liu, M. C., Oxnard, G. R., Klein, E. A., Smith, D., Richards, D., et al. (2020) · Annals of Oncology · doi:10.1016/j.annonc.2020.02.011 · Cited by 1,495
Metadata
- Authors
- Cohen, J. D., Li, L., Wang, Y., Thoburn, C., Afsari, B., Danilova, L., Douville, C., Javed, A. A., Wong, F., Mattox, A., Hruban, R. H., Wolfgang, C. L., Goggins, M. G., Dal Molin, M., Wang, T.-L., Roden, R., Klein, A. P., Ptak, J., Dobbyn, L., Schaefer, J., Silliman, N., Popoli, M., Vogelstein, J. T., Browne, J. D., Schoen, R. E., Brand, R. E., Tie, J., Gibbs, P., Wong, H.-L., Mansfield, A. S., Jen, J., Hanash, S. M., Falconi, M., Allen, P. J., Zhou, S., Bettegowda, C., Diaz, L. A., Tomasetti, C., Kinzler, K. W., Vogelstein, B., Lennon, A. M., & Papadopoulos, N.
- Affiliations
- Howard Hughes Medical Institute (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
- University of Pittsburgh (US)
- The University of Melbourne (AU)
- Walter and Eliza Hall Institute of Medical Research (AU)
- Mayo Clinic (US)
- The University of Texas MD Anderson Cancer Center (US)
- IRCCS Ospedale San Raffaele (IT)
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Diaz, Luis A.
- Tomasetti, Cristian
- Kinzler, Kenneth W.
- Vogelstein, Bert
- Lennon, Anne Marie
- Papadopoulos, Nickolas
- ORCID
- Cohen, Joshua D.
- Li, Lu
- Wang, Yuxuan
- Thoburn, Christopher
- Afsari, Bahman
- Danilova, Ludmila
- Douville, Christopher
- Javed, Ammar A.
- Wong, Fay
- Mattox, Austin
- Hruban, Ralph H.
- Wolfgang, Christopher L.
- Goggins, Michael G.
- Wang, Tian-Li
- Roden, Richard
- Klein, Alison P.
- Ptak, Janine
- Dobbyn, Lisa
- Schaefer, Joy
- Silliman, Natalie
- Popoli, Maria
- Vogelstein, Joshua T.
- Schoen, Robert E.
- Brand, Randall E.
- Tie, Jeanne
- Gibbs, Peter
- Wong, Hui-Li
- Mansfield, Aaron S.
- Jen, Jin
- Hanash, Samir M.
- Falconi, Massimo
- Allen, Peter J.
- Zhou, Shibin
- Bettegowda, Chetan
- Diaz, Luis A.
- Tomasetti, Cristian
- Kinzler, Kenneth W.
- Vogelstein, Bert
- Lennon, Anne Marie
- Papadopoulos, Nickolas
- Venue
- Science
- Published
- 2018-02-23
- Volume
- 359
- Issue
- 6378
- Pages
- 926-930
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC6080308
- OpenAlex
- W2783674487
- Cited by
- 2,783
- References
- 37
- Citations by year
- 2026: 244 · 2025: 343 · 2024: 300 · 2023: 341 · 2022: 301 · 2021: 377 · 2020: 324 · 2019: 317 · 2018: 232
- FWCI
- 96.25
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- Funders
- National Institutes of Health (P50-CA62924, P50-CA102701, CA06973, GM-07309, U01CA152753)
- Doris Duke Charitable Foundation (2014107)
- Commonwealth Fund
- John Templeton Foundation
- Lustgarten Foundation
- Virginia and D.K. Ludwig Fund for Cancer Research
- Billi and Bernie Marcus Foundation
- Mayo Clinic Clinomics Program, Center for Individualized Medicine
- Defense Sciences Office, DARPA (N66001-15-C-4041)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Health Sciences › Medicine › Oncology › Cancer Diagnosis and Treatment
- Keywords
- early cancer detection, cancer screening, circulating proteins, tumor localization, ovarian cancer, liver cancer, gastric cancer, pancreatic cancer, esophageal cancer, colorectal cancer, lung cancer, breast cancer, sensitivity and specificity
- MeSH terms
- Circulating Tumor DNA, Costs and Cost Analysis, Hematologic Tests, Humans, Mutation, Neoplasm Proteins, Neoplasms, Polymerase Chain Reaction, Early Detection of Cancer
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