The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention
Open accessAbstract
A real-time trial of a cancer blood test: Cancers diagnosed early are often more responsive to treatment. Blood tests that detect molecular markers of cancer have successfully identified individuals already known to have the disease. Lennon et al. conducted an exploratory study that more closely reflects the way in which such blood tests would be used in the future. They evaluated the feasibility and safety of incorporating a multicancer blood test into the routine clinical care of 10,000 women with no history of cancer. Over a 12-month period, the blood test detected 26 cancers of different types. A combination of the blood test and positron emission tomography–computed tomography (PET-CT) imaging led to surgical removal of nine of these cancers. Use of the blood test did not result in a large number of futile follow-up procedures. Science , this issue p. eabb9601
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742
Siegel, R. L., Miller, K. D., & Jemal, A. (2020) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21590 · Cited by 20,444
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
The National Lung Screening Trial Research Team (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1102873 · Cited by 11,064
Amin, M. B., Greene, F. L., Edge, S. B., Compton, C. C., Gershenwald, J. E., Brookland, R. K., Meyer, L., Gress, D. M., Byrd, D. R., & Winchester, D. P. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21388 · Cited by 6,502
Detection 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-citationDetection and localization of surgically resectable cancers with a multi-analyte blood test
Cohen, J. D., Li, L., Wang, Y., Thoburn, C., Afsari, B., Danilova, L., Douville, C., Javed, A. A., Wong, F., Mattox, A., et al. (2018) · Science · doi:10.1126/science.aar3247 · Cited by 2,783
Self-citationLong-Term Follow-up of CD19 CAR Therapy in Acute Lymphoblastic Leukemia
Park, J. H., Rivière, I., Gonen, M., Wang, X., Sénéchal, B., Curran, K. J., Sauter, C., Wang, Y., Santomasso, B., Mead, E., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1709919 · Cited by 2,688
Liquid Biopsies: Genotyping Circulating Tumor DNA
Diaz, L. A., & Bardelli, A. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.2011 · Cited by 2,210
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
Society of Interventional Radiology Clinical Practice Guidelines
Sacks, D., McClenny, T. E., Cardella, J. F., & Lewis, C. A. (2003) · Journal of Vascular and Interventional Radiology · doi:10.1097/01.rvi.0000094584.83406.3e · Cited by 1,714
T-cell invigoration to tumour burden ratio associated with anti-PD-1 response
Huang, A. C., Postow, M. A., Orlowski, R. J., Mick, R., Bengsch, B., Manne, S., Xu, W., Harmon, S., Giles, J. R., Wenz, B., et al. (2017) · Nature · doi:10.1038/nature22079 · Cited by 1,664
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
Self-citationTie, J., Wang, Y., Tomasetti, C., Li, L., Springer, S., Kinde, I., Silliman, N., Tacey, M., Wong, H.-L., Christie, M., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf6219 · Cited by 1,492
Self-citationGenome-wide cell-free DNA fragmentation in patients with cancer
Cristiano, S., Leal, A., Phallen, J., Fiksel, J., Adleff, V., Bruhm, D. C., Jensen, S. Ø., Medina, J. E., Hruban, C., White, J. R., et al. (2019) · Nature · doi:10.1038/s41586-019-1272-6 · Cited by 1,476
Cell-free DNA Comprises an In Vivo Nucleosome Footprint that Informs Its Tissues-Of-Origin
Snyder, M. W., Kircher, M., Hill, A. J., Daza, R. M., & Shendure, J. (2016) · Cell · doi:10.1016/j.cell.2015.11.050 · Cited by 1,464
Validation of a Decision Regret Scale
Brehaut, J. C., O'Connor, A. M., Wood, T. J., Hack, T. F., Siminoff, L., Gordon, E., & Feldman-Stewart, D. (2003) · Medical Decision Making · doi:10.1177/0272989x03256005 · Cited by 1,452
Detection and quantification of mutations in the plasma of patients with colorectal tumors
Diehl, F., Li, M., Dressman, D., He, Y., Shen, D., Szabo, S., Diaz, L. A., Goodman, S. N., David, K. A., Juhl, H., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507904102 · Cited by 1,188
Self-citationDetection and quantification of rare mutations with massively parallel sequencing
Kinde, I., Wu, J., Papadopoulos, N., Kinzler, K. W., & Vogelstein, B. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105422108 · Cited by 1,144
Self-citationLin, J. S., Bowles, E. J. A., Williams, S. B., & Morrison, C. C. (2017) · JAMA · doi:10.1001/jama.2017.0562 · Cited by 1,082
Enhanced detection of circulating tumor DNA by fragment size analysis
Mouliere, F., Chandrananda, D., Piskorz, A. M., Moore, E. K., Morris, J., Ahlborn, L. B., Mair, R., Goranova, T., Marass, F., Heider, K., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aat4921 · Cited by 1,069
Early Detection of Pancreatic Cancer: Opportunities and Challenges
Singhi, A. D., Koay, E. J., Chari, S. T., & Maitra, A. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.01.259 · Cited by 841
Analysis of Plasma Epstein–Barr Virus DNA to Screen for Nasopharyngeal Cancer
Chan, K. C. A., Woo, J. K. S., King, A., Zee, B. C. Y., Lam, W. K. J., Chan, S. L., Chu, S. W. I., Mak, C., Tse, I. O. L., Leung, S. Y. M., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1701717 · Cited by 781
High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants
Razavi, P., Li, B. T., Brown, D. N., Jung, B., Hubbell, E., Shen, R., Abida, W., Juluru, K., De Bruijn, I., Hou, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0652-7 · Cited by 769
Ageing and the epidemiology of multimorbidity
Divo, M. J., Martinez, C. H., & Mannino, D. M. (2014) · European Respiratory Journal · doi:10.1183/09031936.00059814 · Cited by 701
Lin, J. S., Piper, M. A., Perdue, L. A., Rutter, C. M., Webber, E. M., O’Connor, E., Smith, N., & Whitlock, E. P. (2016) · JAMA · doi:10.1001/jama.2016.3332 · Cited by 693
André, T., de Gramont, A., Vernerey, D., Chibaudel, B., Bonnetain, F., Tijeras-Raballand, A., Scriva, A., Hickish, T., Tabernero, J., Van Laethem, J. L., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.63.4238 · Cited by 683
The emerging clinical relevance of genomics in cancer medicine
Berger, M. F., & Mardis, E. R. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0002-6 · Cited by 626
Identification of tissue-specific cell death using methylation patterns of circulating DNA
Lehmann-Werman, R., Neiman, D., Zemmour, H., Moss, J., Magenheim, J., Vaknin-Dembinsky, A., Rubertsson, S., Nellgård, B., Blennow, K., Zetterberg, H., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1519286113 · Cited by 610
Circulating tumor DNA and liquid biopsy in oncology
Cescon, D. W., Bratman, S. V., Chan, S. M., & Siu, L. L. (2020) · Nature Cancer · doi:10.1038/s43018-020-0043-5 · Cited by 600
Sequence Artifacts in DNA from Formalin-Fixed Tissues: Causes and Strategies for Minimization
Do, H., & Dobrovic, A. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2014.223040 · Cited by 572
Efficacy of breast cancer screening by age. New results swedish two-county trial
Tabar, L., Fagerberg, G., Chen, H.-H., Duffy, S. W., Smart, C. R., Gad, A., & Smith, R. A. (1995) · Cancer · doi:10.1002/1097-0142(19950515)75:10<2507::aid-cncr2820751017>3.0.co;2-h · Cited by 557
Humphrey, L. L., Deffebach, M., Pappas, M., Baumann, C., Artis, K., Mitchell, J. P., Zakher, B., Fu, R., & Slatore, C. G. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-6-201309170-00690 · Cited by 534
DNA methylation markers for diagnosis and prognosis of common cancers
Hao, X., Luo, H., Krawczyk, M., Wei, W., Wang, W., Wang, J., Flagg, K., Hou, J., Zhang, H., Yi, S., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1703577114 · Cited by 458
Plasma DNA End-Motif Profiling as a Fragmentomic Marker in Cancer, Pregnancy, and Transplantation
Jiang, P., Sun, K., Peng, W., Cheng, S. H., Ni, M., Yeung, P. C., Heung, M. M. S., Xie, T., Shang, H., Zhou, Z., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0622 · Cited by 375
Cancer overdiagnosis: a biological challenge and clinical dilemma
Srivastava, S., Koay, E. J., Borowsky, A. D., De Marzo, A. M., Ghosh, S., Wagner, P. D., & Kramer, B. S. (2019) · Nature Reviews Cancer · doi:10.1038/s41568-019-0142-8 · Cited by 337
Patterns and Trends in Cancer Screening in the United States
Hall, I. J., Tangka, F. K. L., Sabatino, S. A., Thompson, T. D., Graubard, B. I., & Breen, N. (2018) · Preventing Chronic Disease · doi:10.5888/pcd15.170465 · Cited by 279
The Role of PET Scan in Diagnosis, Staging, and Management of Non-Small Cell Lung Cancer
Schrevens, L., Lorent, N., Dooms, C., & Vansteenkiste, J. (2004) · The Oncologist · doi:10.1634/theoncologist.9-6-633 · Cited by 239
Applications of liquid biopsies for cancer
Mattox, A. K., Bettegowda, C., Zhou, S., Papadopoulos, N., Kinzler, K. W., & Vogelstein, B. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aay1984 · Cited by 195
Self-citationLung Cancer Screening Utilization: A Behavioral Risk Factor Surveillance System Analysis
Zahnd, W. E., & Eberth, J. M. (2019) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2019.03.015 · Cited by 191
Vesco, K. K., Whitlock, E. P., Eder, M. L., Burda, B. U., Senger, C. A., & Lutz, K. W. (2011) · Annals of Internal Medicine · doi:10.7326/0003-4819-155-10-201111150-00377 · Cited by 138
Universal cancer screening: revolutionary, rational, and realizable
Ahlquist, D. A. (2018) · npj Precision Oncology · doi:10.1038/s41698-018-0066-x · Cited by 135
Adherence to Competing Strategies for Colorectal Cancer Screening Over 3 Years
Liang, P. S., Wheat, C. L., Abhat, A., Brenner, A. T., Fagerlin, A., Hayward, R. A., Thomas, J. P., Vijan, S. S., & Inadomi, J. M. (2015) · The American Journal of Gastroenterology · doi:10.1038/ajg.2015.367 · Cited by 114
PET/CT in Oncology: Current Status and Perspectives
Czernin, J. G., Allen-Auerbach, M., Nathanson, D. A., & Herrmann, K. (2013) · Current Radiology Reports · doi:10.1007/s40134-013-0016-x · Cited by 113
Assessing aneuploidy with repetitive element sequencing
Douville, C. B., Cohen, J. D., Ptak, J., Popoli, M., Schaefer, J., Silliman, N., Dobbyn, L., Schoen, R. E., Tie, J., Gibbs, P., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1910041117 · Cited by 83
Self-citationAn electronic health record-enabled obesity database
Wood, G. C., Chu, X., Manney, C., Strodel, W. E., Petrick, A. T., Gabrielsen, J. D., Seiler, J. L., Carey, D. J., Argyropoulos, G. A., Benotti, P. N., et al. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-45 · Cited by 82
Self-citationShumilov, E., Flach, J., Pabst, T., Fiedler, M., Angelillo‐Scherrer, A., Trümper, L. H. P., Joncourt, R., Kohlmann, A., & Bacher, U. (2018) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2018.03.020 · Cited by 13
Cited by
Crosby, D., Bhatia, S., Brindle, K. M., Coussens, L. M., Dive, C., Emberton, M., Esener, S., Fitzgerald, R. C., Gambhir, S. S., Kuhn, P., et al. (2022) · Science · doi:10.1126/science.aay9040 · Cited by 1,379
Liquid biopsy enters the clinic — implementation issues and future challenges
Ignatiadis, M., Sledge, G. W., & Jeffrey, S. S. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-00457-x · Cited by 1,191
Blood-based tests for multicancer early detection (PATHFINDER): a prospective cohort study
Schrag, D., Beer, T. M., McDonnell, C. H., Nadauld, L., Dilaveri, C. A., Reid, R., Marinac, C. R., Chung, K. C., Lopatin, M., Fung, E. T., et al. (2023) · The Lancet · doi:10.1016/s0140-6736(23)01700-2 · Cited by 396
The Multicenter Cancer of Pancreas Screening Study: Impact on Stage and Survival
Dbouk, M., Katona, B. W., Brand, R. E., Chak, A., Syngal, S., Farrell, J. J., Kastrinos, F., Stoffel, E. M., Blackford, A. L., Rustgi, A. K., et al. (2022) · Journal of Clinical Oncology · doi:10.1200/jco.22.00298 · Cited by 247
Self-citationLead-time trajectory of CA19-9 as an anchor marker for pancreatic cancer early detection
Fahrmann, J. F., Schmidt, C. M., Mao, X., Irajizad, E., Loftus, M., Zhang, J., Patel, N., Vykoukal, J., Dennison, J. B., Long, J. P., et al. (2021) · Gastroenterology · doi:10.1053/j.gastro.2020.11.052 · Cited by 208
Metadata
- Authors
- Lennon, A. M., Buchanan, A. H., Kinde, I., Warren, A., Honushefsky, A., Cohain, A. T., Ledbetter, D. H., Sanfilippo, F., Sheridan, K., Rosica, D., Adonizio, C. S., Hwang, H. J., Lahouel, K., Cohen, J. D., Douville, C., Patel, A. A., Hagmann, L. N., Rolston, D. D., Malani, N., Zhou, S., Bettegowda, C., Diehl, D. L., Urban, B., Still, C. D., Kann, L., Woods, J. I., Salvati, Z. M., Vadakara, J., Leeming, R., Bhattacharya, P., Walter, C., Parker, A., Lengauer, C., Klein, A., Tomasetti, C., Fishman, E. K., Hruban, R. H., Kinzler, K. W., Vogelstein, B., & Papadopoulos, N.
- Venue
- Science
- Published
- 2020-07-03
- Volume
- 369
- Issue
- 6499
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3020301997
- Cited by
- 657
- References
- 46
- FWCI
- 27.11
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.