Cited by 16,003Global Cancer Incidence and ScreeningColorectal Cancer Screening and DetectionScience, Research, and Medicine

The DOI matches its Crossref record; 65 of the 66 references it cites were found in a registry or an index.

Cancer statistics, 2016

Open access

Siegel, Rebecca L., Miller, Kimberly D., Jemal, Ahmedin·2016·CA: A Cancer Journal for Clinicians

DOI 10.3322/caac.21332

Open this paper in CoChat — free account

Abstract

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and survival. Incidence data were collected by the National Cancer Institute (Surveillance, Epidemiology, and End Results [SEER] Program), the Centers for Disease Control and Prevention (National Program of Cancer Registries), and the North American Association of Central Cancer Registries. Mortality data were collected by the National Center for Health Statistics. In 2016, 1,685,210 new cancer cases and 595,690 cancer deaths are projected to occur in the United States. Overall cancer incidence trends (13 oldest SEER registries) are stable in women, but declining by 3.1% per year in men (from 2009‐2012), much of which is because of recent rapid declines in prostate cancer diagnoses. The cancer death rate has dropped by 23% since 1991, translating to more than 1.7 million deaths averted through 2012. Despite this progress, death rates are increasing for cancers of the liver, pancreas, and uterine corpus, and cancer is now the leading cause of death in 21 states, primarily due to exceptionally large reductions in death from heart disease. Among children and adolescents (aged birth‐19 years), brain cancer has surpassed leukemia as the leading cause of cancer death because of the dramatic therapeutic advances against leukemia. Accelerating progress against cancer requires both increased national investment in cancer research and the application of existing cancer control knowledge across all segments of the population. CA Cancer J Clin 2016;7–30. © 2015 American Cancer Society.

Integrity signals

Registry

Crossref · 10.3322/caac.21332

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

SEER Cancer Statistics Review, 1975-2003
Ries, L. A. G., Harkins, D., Krapcho, M. F., Mariotto, A. B., Miller, B., Feuer, E. J., Clegg, L. X., Eisner, M. P., Horner, M., Howlader, N., et al. (2006) · Digital Archive @ GSU · Cited by 11,404
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
The Health consequences of smoking—50 years of progress : a report of the Surgeon General
Lushniak, B. D., Samet, J. M., Pechacek, T. F., Norman, L., & Taylor, P. A. (2014) · Cited by 4,990
International Classification of Diseases for Oncology
National Cancer Institute (2020) · Definitions · doi:10.32388/1bjeus · Cited by 3,810
Breast cancer statistics, 2019
Desantis, C. E., Ma, J., Gaudet, M. M., Newman, L. A., Miller, K. D., Sauer, A. G., Jemal, A., & Siegel, R. L. (2019) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21583 · Cited by 3,222
Self-citation
The global health burden of infection‐associated cancers in the year 2002
Parkin, D. M. (2006) · International Journal of Cancer · doi:10.1002/ijc.21731 · Cited by 2,932
Effect of Screening and Adjuvant Therapy on Mortality from Breast Cancer
Berry, D. A., Cronin, K. A., Plevritis, S. K., Fryback, D. G., Clarke, L. D., Zelen, M., Mandelblatt, J. S., Yakovlev, A. Y., Habbema, J. D. F., & Feuer, E. J. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050518 · Cited by 2,456
Annual report to the nation on the status of cancer, 1975‐2006, featuring colorectal cancer trends and impact of interventions (risk factors, screening, and treatment) to reduce future rates
Edwards, B. K., Ward, E., Kohler, B. A., Eheman, C., Zauber, A. G., Anderson, R. N., Jemal, A., Schymura, M. J., Lansdorp‐Vogelaar, I., Seeff, L. C., et al. (2010) · Cancer · doi:10.1002/cncr.24760 · Cited by 2,002
Self-citation
Breast Cancer Statistics
Ma, J., & Jemal, A. (2012) · Springer eBooks · doi:10.1007/978-1-4614-5647-6_1 · Cited by 1,918
Self-citation
Cancer Disparities by Race/Ethnicity and Socioeconomic Status
Ward, E., Jemal, A., Cokkinides, V. E., Singh, G. K., Cardinez, C. J., Ghafoor, A., & Thun, M. J. (2004) · CA A Cancer Journal for Clinicians · doi:10.3322/canjclin.54.2.78 · Cited by 1,796 · cited 1×
“prevention and early detection, timely diagnosis, and optimal treatment.(60,61) Even among Medicare-insured patients,”
BackgroundSelf-citation

Flagged first, then by citations

Show all 66 references

1 of the 66 references couldn’t be matched to a known paper.

Research works printed but not linked: 5

Copeland G, 2015, Cancer in North America: 2008‐2012
Copeland G, 2015, Cancer in North America: 2008‐2012. Vol 2. Registry‐Specific Cancer Incidence in the United States and Canada
World Health Organization, 2011, International Statistical Classification of Diseases and Related Health Problems. 10th Rev. Vols. I‐III
Surveillance Research Program, 2015, SEER*Stat Software
2015, Joinpoint Regression Program, Version 4.2.0.2

Sorted by citations

Cancer statistics, 2020
Siegel, R. L., Miller, K. D., & Jemal, A. (2020) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21590 · Cited by 20,444
Self-citation
Cancer statistics, 2019
Siegel, R. L., Miller, K. D., & Jemal, A. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21551 · Cited by 20,160
Self-citation
Cancer Statistics, 2021
Siegel, R. L., Miller, K. D., Fuchs, H. E., & Jemal, A. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21654 · Cited by 16,522
Self-citation
Cancer Statistics, 2017.
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
Self-citation
Cancer treatment and survivorship statistics, 2016
Miller, K. D., Siegel, R. L., Lin, C. C., Mariotto, A. B., Kramer, J. L., Rowland, J. H., Stein, K. D., Alteri, R., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21349 · Cited by 6,066
Self-citation
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Campanella, G., Hanna, M. G., Geneslaw, L., Miraflor, A., Werneck Krauss Silva, V., Busam, K. J., Brogi, E., Reuter, V. E., Klimstra, D. S., & Fuchs, T. J. (2019) · Nature Medicine · doi:10.1038/s41591-019-0508-1 · Cited by 2,799
Renal cell carcinoma
Hsieh, J. J., Purdue, M. P., Signoretti, S., Swanton, C., Albiges, L., Schmidinger, M., Heng, D. Y., Larkin, J., & Ficarra, V. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.9 · Cited by 2,426
Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer
Öhlund, D., Handly-Santana, A., Biffi, G., Elyada, E., Almeida, A. S., Ponz-Sarvise, M., Corbo, V., Oni, T. E., Hearn, S. A., Lee, E. J., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20162024 · Cited by 2,590
10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer
Hamdy, F. C., Donovan, J., Lane, J. A., Mason, M. D., Metcalfe, C. D., Holding, P., Davis, M., Peters, T. J., Turner, E. L., Martin, R. M., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606220 · Cited by 2,642
Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
Novello, S., Barlesi, F., Califano, R., Cufer, T., Ekman, S., Levra, M. G., Kerr, K., Popat, S., Reck, M., Senan, S., et al. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw326 · Cited by 2,631
Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)
Codella, N. C. F., Gutman, D., Celebi, M. E., Helba, B., Marchetti, M. A., Dusza, S. W., Kalloo, A., Liopyris, K., Mishra, N., Kittler, H., et al. (2018) · 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) · doi:10.1109/isbi.2018.8363547 · Cited by 2,620
Roles of the immune system in cancer: From tumor initiation to metastatic progression
Gonzalez, H., Hagerling, C., & Werb, Z. (2018) · Genes & Development · doi:10.1101/gad.314617.118 · Cited by 2,111
CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2011–2015
Ostrom, Q. T., Gittleman, H. R., Truitt, G., Boscia, A. L., Kruchko, C., & Barnholtz‐Sloan, J. S. (2018) · Neuro-Oncology · doi:10.1093/neuonc/noy131 · Cited by 2,163
Integrated genomic characterization of pancreatic ductal adenocarcinoma
Raphael, B. J., Hruban, R. H., Aguirre, A. J., Moffitt, R. A., Yeh, J. J., Stewart, C., Robertson, A. G., Cherniack, A. D., Gupta, M., Getz, G., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.07.007 · Cited by 2,019
Ultrasound Elastography: Review of Techniques and Clinical Applications
Sigrist, R. M. S., Liau, J., Kaffas, A. E., Chammas, M. C., & Willmann, J. K. (2017) · Theranostics · doi:10.7150/thno.18650 · Cited by 1,887
Integrated genomic characterization of oesophageal carcinoma
Sun, Q., Kelsen, D. P., Wiznerowicz, M., Lu, Y., Sandusky, G., Wan, Y., Weinhold, N., Wong, A. M., Carvalho, A. L., Luketich, J. D., et al. (2017) · Nature · doi:10.1038/nature20805 · Cited by 1,869
CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010–2014
Ostrom, Q. T., Gittleman, H. R., Liao, P., Vecchione-Koval, T., Wolinsky, Y., Kruchko, C., & Barnholtz‐Sloan, J. S. (2017) · Neuro-Oncology · doi:10.1093/neuonc/nox158 · Cited by 1,852
Targeted Drug Delivery with Polymers and Magnetic Nanoparticles: Covalent and Noncovalent Approaches, Release Control, and Clinical Studies
Ulbrich, K., Holá, K., Šubr, V., Bakandritsos, A., Tuček, J., & Zbořil, R. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00589 · Cited by 1,759
Inherited DNA-Repair Gene Mutations in Men with Metastatic Prostate Cancer
Pritchard, C. C., Mateo, J., Walsh, M. F., De Sarkar, N., Abida, W., Beltran, H., Garofalo, A., Gulati, R., Carreira, S., Eeles, R., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1603144 · Cited by 1,680
The landscape of genomic alterations across childhood cancers
ICGC PedBrain-Seq Project, Gröbner, S. N., ICGC MMML-Seq Project, Worst, B. C., Weischenfeldt, J., Buchhalter, I., Kleinheinz, K., Rudneva, V. A., Johann, P. D., Balasubramanian, G. P., et al. (2018) · Nature · doi:10.1038/nature25480 · Cited by 1,572
Global Burden of Cutaneous Melanoma in 2020 and Projections to 2040
Arnold, M., Singh, D., Laversanne, M., Vignat, J., Vaccarella, S., Meheus, F., Cust, A. E., de Vries, E., Whiteman, D. C., & Bray, F. (2022) · JAMA Dermatology · doi:10.1001/jamadermatol.2022.0160 · Cited by 1,539
Liver Macrophages in Tissue Homeostasis and Disease
Krenkel, O., & Tacke, F. (2017) · Nature Reviews Immunology · doi:10.1038/nri.2017.11 · Cited by 1,424
Extracellular vesicles in cancer — implications for future improvements in cancer care
Xu, R., Rai, A., Chen, M., Suwakulsiri, W., Greening, D. W., & Simpson, R. J. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0036-9 · Cited by 1,472
The Pancreatic Cancer Microbiome Promotes Oncogenesis by Induction of Innate and Adaptive Immune Suppression
Pushalkar, S., Hundeyin, M., Daley, D., Zambirinis, C. P., Kurz, E., Mishra, A., Mohan, N., Aykut, B., Usyk, M., Torres, L. E., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1134 · Cited by 1,400
IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma
Biffi, G., Oni, T. E., Spielman, B., Hao, Y., Elyada, E., Park, Y., Preall, J., & Tuveson, D. A. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0710 · Cited by 1,360
Ovarian cancer
Matulonis, U. A., Sood, A. K., Fallowfield, L., Howitt, B. E., Sehouli, J., & Karlan, B. Y. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.61 · Cited by 1,362
Dabrafenib plus trametinib in patients with previously untreated BRAFV600E-mutant metastatic non-small-cell lung cancer: an open-label, phase 2 trial
Planchard, D., Smit, E. F., Groen, H. J. M., Mazières, J., Besse, B., Helland, Å., Giannone, V., D'amelio, A. M., Zhang, P., Mookerjee, B., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30679-4 · Cited by 1,373
Systemic Therapy for Metastatic Renal-Cell Carcinoma
Choueiri, T. K., & Motzer, R. J. (2017) · New England Journal of Medicine · doi:10.1056/nejmra1601333 · Cited by 1,307
Global cancer in women: burden and trends.
Torre, L. A., Islami, F., Siegel, R. L., Ward, E. M., & Jemal, A. (2017) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-16-0858 · Cited by 1,245
Self-citation
Multiple myeloma
Kumar, S. K., Rajkumar, S. V., Kyle, R. A., van Duin, M., Sonneveld, P., Mateos, M., Gay, F., & Anderson, K. C. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.46 · Cited by 1,261
Colorectal Cancer Incidence Patterns in the United States, 1974–2013
Siegel, R. L., Fedewa, S. A., Anderson, W. F., Miller, K. D., Ma, J., Rosenberg, P. S., & Jemal, A. (2017) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djw322 · Cited by 1,002
Self-citation
CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2009–2013
Ostrom, Q. T., Gittleman, H. R., Xu, J. C., Kromer, C. M., Wolinsky, Y., Kruchko, C., & Barnholtz‐Sloan, J. S. (2016) · Neuro-Oncology · doi:10.1093/neuonc/now207 · Cited by 1,208
Renal cell carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
Escudier, B., Porta, C., Schmidinger, M., Rioux-Leclercq, N., Bex, A., Khoo, V., Grünwald, V., Gillessen, S., & Horwich, A. (2019) · Annals of Oncology · doi:10.1093/annonc/mdz056 · Cited by 1,151
Non-Hodgkin lymphoma
Armitage, J. O., Gascoyne, R. D., Lunning, M. A., & Cavalli, F. (2017) · The Lancet · doi:10.1016/s0140-6736(16)32407-2 · Cited by 1,205
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Yu, L., Chen, H., Dou, Q., Qin, J., & Heng, P.-A. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2642839 · Cited by 1,140
Screening for Thyroid Cancer: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force
Lin, J. S., Bowles, E. J. A., Williams, S. B., & Morrison, C. C. (2017) · JAMA · doi:10.1001/jama.2017.0562 · Cited by 1,082
Previous radiotherapy and the clinical activity and toxicity of pembrolizumab in the treatment of non-small-cell lung cancer: a secondary analysis of the KEYNOTE-001 phase 1 trial.
Shaverdian, N., Lisberg, A. E., Bornazyan, K., Veruttipong, D., Goldman, J. W., Formenti, S. C., Garon, E. B., & Lee, P. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30380-7 · Cited by 1,091
Deep learning-based multi-omics integration robustly predicts survival in liver cancer
Chaudhary, K., Poirion, O. B., Lu, L., & Garmire, L. X. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-0853 · Cited by 1,091
Consolidative Radiotherapy for Limited Metastatic Non–Small-Cell Lung Cancer
Iyengar, P., Wardak, Z., Gerber, D. E., Tumati, V., Ahn, C. W., Hughes, R. S., Dowell, J. E., Cheedella, N. K. S., Nedzi, L. A., Westover, K. D., et al. (2017) · JAMA Oncology · doi:10.1001/jamaoncol.2017.3501 · Cited by 1,064
Curcumin and Cancer
Giordano, A., & Tommonaro, G. (2019) · Nutrients · doi:10.3390/nu11102376 · Cited by 1,029
Classification of breast cancer histology images using Convolutional Neural Networks
Araújo, T., Aresta, G., Castro, E., Rouco, J., Aguiar, P., Eloy, C., Polónia, A., & Campilho, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177544 · Cited by 1,044
Gut microbiota modulation of chemotherapy efficacy and toxicity
Alexander, J. L., Wilson, I. D., Teare, J., Marchesi, J. R., Nicholson, J. K., & Kinross, J. M. (2017) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.20 · Cited by 970
NCCN Guidelines Insights: Colon Cancer, Version 2.2018
Benson, A. B., Venook, A. P., Al-Hawary, M. M., Cederquist, L., Chen, Y.-J., Ciombor, K. K., Cohen, S., Cooper, H. S., Deming, D., Engstrom, P. F., et al. (2018) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2018.0021 · Cited by 806
Reactive oxygen species (ROS) and cancer: Role of antioxidative nutraceuticals
Prasad, S., Gupta, S. C., & Tyagi, A. K. (2016) · Cancer Letters · doi:10.1016/j.canlet.2016.03.042 · Cited by 981
KRAS: The Critical Driver and Therapeutic Target for Pancreatic Cancer
Waters, A. M., & Der, C. J. (2018) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a031435 · Cited by 875
Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci
Study, T. P., Schumacher, F. R., (APCB), A. P. C. B., Study, T. I., Canary PASS Investigators, Breast and Prostate Cancer Cohort Consortium (BPC3), The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, (CAPS), C. O. T. P. I. S., Prostate Cancer Genome-wide Association Study of Uncommon Susceptibility Loci (PEGASUS), The Genetic Associations and Mechanisms in Oncology (GAME-ON)/Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) Consortium, et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0142-8 · Cited by 902
Dabrafenib plus trametinib in patients with previously treated BRAFV600E-mutant metastatic non-small cell lung cancer: an open-label, multicentre phase 2 trial
Planchard, D., Besse, B., Groen, H. J. M., Souquet, P.-J., Quoix, E., Baik, C. S., Barlesi, F., Kim, T. M., Mazieres, J., Novello, S., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30146-2 · Cited by 888
2016 US lymphoid malignancy statistics by World Health Organization subtypes
Teras, L. R., DeSantis, C. E., Cerhan, J. R., Morton, L. M., Jemal, A., & Flowers, C. R. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21357 · Cited by 1,125
Self-citation
Current Challenges and Opportunities in Treating Glioblastoma
Shergalis, A. G., Bankhead, A., Luesakul, U., Muangsin, N., & Neamati, N. (2018) · Pharmacological Reviews · doi:10.1124/pr.117.014944 · Cited by 871
German Multicenter Study Investigating 177 Lu-PSMA-617 Radioligand Therapy in Advanced Prostate Cancer Patients
Rahbar, K., Ahmadzadehfar, H., Kratochwil, C., Haberkorn, U., Schäfers, M. A., Essler, M., Baum, R. P., Kulkarni, H., Schmidt, M. C., Drzezga, A. E., et al. (2016) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.183194 · Cited by 861
Treatment of renal cell carcinoma: Current status and future directions
Barata, P. C., & Rini, B. I. (2017) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21411 · Cited by 828
Bladder cancer
Şanlı, Ö., Dobruch, J. T., Knowles, M. A., Burger, M., Mehrdad Alemozaffar, A., Nielsen, M. E., & Lotan, Y. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.22 · Cited by 825
Circular RNA and its mechanisms in disease: From the bench to the clinic
Han, B., Chao, J., & Yao, H. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.01.010 · Cited by 788
The biological activities, chemical stability, metabolism and delivery systems of quercetin: A review
Wang, W., Sun, C., Mao, L., Ma, P., Liu, F., Yang, J., & Gao, Y. (2016) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2016.07.004 · Cited by 802
ACG Clinical Guidelines: Colorectal Cancer Screening 2021
Shaukat, A., Kahi, C. J., Burke, C. A., Rabeneck, L., Sauer, B. G., & Rex, D. K. (2021) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000001122 · Cited by 853
Management of acquired resistance to EGFR TKI–targeted therapy in advanced non-small cell lung cancer
Wu, S., & Shih, J. (2018) · Molecular Cancer · doi:10.1186/s12943-018-0777-1 · Cited by 802
Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis
Asri, H., Mousannif, H., Moatassime, H. A., & Noël, T. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.04.224 · Cited by 773
Multiple myeloma epidemiology and survival: A unique malignancy
Kazandjian, D. G. (2016) · Seminars in Oncology · doi:10.1053/j.seminoncol.2016.11.004 · Cited by 765
Nivolumab with or without ipilimumab treatment for metastatic sarcoma (Alliance A091401): two open-label, non-comparative, randomised, phase 2 trials
D'Angelo, S. P., Mahoney, M. R., Van Tine, B. A., Atkins, J., Milhem, M. M., Jahagirdar, B. N., Antonescu, C. R., Horvath, E., Tap, W. D., Schwartz, G. K., et al. (2018) · The Lancet Oncology · doi:10.1016/s1470-2045(18)30006-8 · Cited by 759
Impact of Intensity-Modulated Radiation Therapy Technique for Locally Advanced Non–Small-Cell Lung Cancer: A Secondary Analysis of the NRG Oncology RTOG 0617 Randomized Clinical Trial
Chun, S. G., Hu, C., Choy, H., Komaki, R. U., Timmerman, R. D., Schild, S. E., Bogart, J. A., Dobelbower, M. C., Bosch, W. R., Galvin, J. M., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.69.1378 · Cited by 747
Breast cancer colonization by Fusobacterium nucleatum accelerates tumor growth and metastatic progression
Parhi, L., Alon-Maimon, T., Sol, A., Nejman, D., Shhadeh, A., Fainsod-Levi, T., Yajuk, O., Isaacson, B., Abed, J., Maalouf, N., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16967-2 · Cited by 716
Five-Year Follow-Up of Nivolumab in Previously Treated Advanced Non–Small-Cell Lung Cancer: Results From the CA209-003 Study
Gettinger, S. N., Horn, L., Jackman, D. M., Spigel, D. R., Antonia, S. J., Hellmann, M. D., Powderly, J. D., Heist, R. S., Sequist, L. V. D., Smith, D. C., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.77.0412 · Cited by 745
NCCN Guidelines Insights: Non–Small Cell Lung Cancer, Version 4.2016
Ettinger, D. S., Wood, D. E., Akerley, W., Bazhenova, L. A., Borghaei, H., Camidge, D. R., Cheney, R. T., Chirieac, L. R., D’Amico, T. A., Dilling, T. J., et al. (2016) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2016.0031 · Cited by 744
An update on larynx cancer
Steuer, C. E., El‐Deiry, M. W., Parks, J. R., Higgins, K. A., & Saba, N. F. (2016) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21386 · Cited by 743
Metallothionein‐1G facilitates sorafenib resistance through inhibition of ferroptosis
Sun, X., Niu, X., Chen, R., He, W., Chen, D., Kang, R., & Tang, D. (2016) · Hepatology · doi:10.1002/hep.28574 · Cited by 709
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
Coroller, T. P., Grossmann, P., Hou, Y., Rios Velazquez, E., Leijenaar, R. T. H., Hermann, G., Lambin, P., Haibe-Kains, B., Mak, R. H., & Aerts, H. J. W. L. (2015) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2015.02.015 · Cited by 695
Mucosal microbiome dysbiosis in gastric carcinogenesis
Coker, O. O., Dai, Z., Nie, Y., Zhao, G., Cao, L., Nakatsu, G., Wu, W. K., Wong, S. H., Chen, Z., Sung, J. J. Y., et al. (2018) · Gut · doi:10.1136/gutjnl-2017-314281 · Cited by 695
Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance.
Yuan, Y., Chao, M., & Lo, Y.-C. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2695227 · Cited by 687
Plant Secondary Metabolites as Anticancer Agents: Successes in Clinical Trials and Therapeutic Application
Seca, A. M. L., & Pinto, D. C. G. A. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19010263 · Cited by 701
Plant-derived anticancer agents: A green anticancer approach
Iqbal, J., Abbasi, B. A., Mahmood, T., Kanwal, S., Ali, B., Shah, S. A., & Khalil, A. T. (2017) · Asian Pacific Journal of Tropical Biomedicine · doi:10.1016/j.apjtb.2017.10.016 · Cited by 690
Review of cancer from perspective of molecular
Hassanpour, S. H., & Dehghani, M. A. (2017) · Journal of Cancer Research and Practice · doi:10.1016/j.jcrpr.2017.07.001 · Cited by 688
Brain Tumor Classification Using Convolutional Neural Network
Abiwinanda, N., Hanif, M., Hesaputra, S. T., Handayani, A., & Mengko, T. R. (2018) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-981-10-9035-6_33 · Cited by 677
Noncoding Effects of Circular RNA CCDC66 Promote Colon Cancer Growth and Metastasis
Hsiao, K., Lin, Y., Gupta, S. K., Chang, N., Yen, L., Sun, H. S., & Tsai, S. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-1883 · Cited by 671
Estimating Survival in Patients With Lung Cancer and Brain Metastases
Sperduto, P. W., Yang, J. T., Beal, K. P., Pan, H. Y., Brown, P. D., Bangdiwala, A. S., Shanley, R., Yeh, N., Gaspar, L. E., Braunstein, S. E., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.3834 · Cited by 662
Fruits, vegetables, and health: A comprehensive narrative, umbrella review of the science and recommendations for enhanced public policy to improve intake
Wallace, T. C., Bailey, R. L., Blumberg, J. B., Burton-Freeman, B., Chen, C.-Y. O., Crowe-White, K. M., Drewnowski, A., Hooshmand, S., Johnson, E., Lewis, R., et al. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2019.1632258 · Cited by 638
Matrix Metalloproteinase Inhibitors in Cancer Therapy: Turning Past Failures Into Future Successes
Winer, A., Adams, S., & Mignatti, P. (2018) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-17-0646 · Cited by 677
Colorectal cancer population screening programs worldwide in 2016: An update
Navarro, M., Nicolas, A., Ferrandez, A., & Lanas, A. (2017) · World Journal of Gastroenterology · doi:10.3748/wjg.v23.i20.3632 · Cited by 611
The role of the microbiome in cancer development and therapy
Bhatt, A. P., Redinbo, M. R., & Bultman, S. J. (2017) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21398 · Cited by 653
Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
Byrne, M. F., Chapados, N., Soudan, F., Oertel, C., Linares Pérez, M., Kelly, R., Iqbal, N., Chandelier, F., & Rex, D. K. (2019) · Gut · doi:10.1136/gutjnl-2017-314547 · Cited by 635
Epidemiology of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
Massarweh, N. N., & El‐Serag, H. B. (2017) · Cancer Control · doi:10.1177/1073274817729245 · Cited by 637
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging
Xu, Y., Hosny, A., Zeleznik, R., Parmar, C., Coroller, T. P., Franco, I. “., Mak, R. H., & Aerts, H. J. W. L. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-2495 · Cited by 658
New Horizons for Precision Medicine in Biliary Tract Cancers
Valle, J. W., Lamarca, Á., Goyal, L., Barriuso, J., & Zhu, A. X. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0245 · Cited by 632
Alginate-based hydrogels as drug delivery vehicles in cancer treatment and their applications in wound dressing and 3D bioprinting
Abasalizadeh, F., Moghaddam, S. V., Alizadeh, E., akbari, E., Kashani, E., Fazljou, S. M. B., Torbati, M., & Akbarzadeh, A. (2020) · Journal of Biological Engineering · doi:10.1186/s13036-020-0227-7 · Cited by 618
American Cancer Society Head and Neck Cancer Survivorship Care Guideline
Cohen, E. E. W., LaMonte, S. J., Erb, N. L., Beckman, K. L., Sadeghi, N., Hutcheson, K. A., Stubblefield, M. D., Abbott, D. M., Fisher, P., Stein, K., et al. (2016) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21343 · Cited by 620
Clinical and Molecular Characteristics Associated With Survival Among Patients Treated With Checkpoint Inhibitors for Advanced Non–Small Cell Lung Carcinoma: A Systematic Review and Meta-analysis
Lee, C. K., Man, J., Lord, S., Cooper, W., Links, M., Gebski, V., Herbst, R. S., Gralla, R. J., Mok, T., & Yang, J. C.-H. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2017.4427 · Cited by 598
Pancreatic cancer: A review of epidemiology, trend, and risk factors
Hu, J.-X., Zhao, C., Chen, W.-B., Liu, Q., Li, Q.-W., Lin, Y., & Gao, F. (2021) · World Journal of Gastroenterology · doi:10.3748/wjg.v27.i27.4298 · Cited by 643
Combined circulating tumor DNA and protein biomarker-based liquid biopsy for the earlier detection of pancreatic cancers
Cohen, J. D., Javed, A. A., Thoburn, C. J., Wong, F., Tie, J., Gibbs, P., Schmidt, C. M., Yip-Schneider, M., Allen, P. J., Schattner, M. A., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1704961114 · Cited by 588
Circadian Rhythm Disruption Promotes Lung Tumorigenesis
Papagiannakopoulos, T., Bauer, M. R., Davidson, S. M., Heimann, M., Subbaraj, L., Bhutkar, A., Bartlebaugh, J., Vander Heiden, M. G., & Jacks, T. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.07.001 · Cited by 557
Uterine Neoplasms, Version 1.2023, NCCN Clinical Practice Guidelines in Oncology
Abu‐Rustum, N. R., Yashar, C. M., Arend, R. C., Barber, E. L., Bradley, K. A., Brooks, R. A., Campos, S. M., Chino, J., Chon, H. S., Chu, C., et al. (2023) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2023.0006 · Cited by 586
Breast Cancer Epidemiology and Risk Factors
Rojas, K. E., & Stuckey, A. R. (2016) · Clinical Obstetrics & Gynecology · doi:10.1097/grf.0000000000000239 · Cited by 573
Attention Residual Learning for Skin Lesion Classification
Zhang, J., Xie, Y., Xia, Y., & Shen, C. (2019) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2893944 · Cited by 585
Trends in the incidence, treatment, and survival of patients with lung cancer in the last four decades
Lu, T., Yang, X., Huang, Y., Zhao, M., Li, M., Ma, K., Yin, J., Zhan, C., & Wang, Q. (2019) · Cancer Management and Research · doi:10.2147/cmar.s187317 · Cited by 565
Global liver disease burdens and research trends: Analysis from a Chinese perspective
Xiao, J., Wang, F., Wong, N.-K., He, J., Rui, Z., Sun, R., Xu, Y., Liu, Y., Li, W., Koike, K., et al. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.03.004 · Cited by 568
Magnetic iron oxide nanoparticles for drug delivery: applications and characteristics
Vangijzegem, T., Stanicki, D., & Laurent, S. (2018) · Expert Opinion on Drug Delivery · doi:10.1080/17425247.2019.1554647 · Cited by 568
GSH‐Depleted PtCu 3 Nanocages for Chemodynamic‐ Enhanced Sonodynamic Cancer Therapy
Zhong, X., Wang, X., Cheng, L., Tang, Y., Zhan, G., Gong, F., Zhang, R., Hu, J., Liu, Z., & Yang, X. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201907954 · Cited by 543
Chronic Pancreatitis and Pancreatic Cancer Risk: A Systematic Review and Meta-analysis
Kirkegård, J., Mortensen, F. V., & Cronin-Fenton, D. P. (2017) · The American Journal of Gastroenterology · doi:10.1038/ajg.2017.218 · Cited by 551
Randomized phase II/III trial of neoadjuvant chemotherapy with gemcitabine and S-1 versus upfront surgery for resectable pancreatic cancer (Prep-02/JSAP05)
Motoi, F., Kosuge, T., Ueno, H., Yamaue, H., Satoi, S., Sho, M., Honda, G., Matsumoto, I., Wada, K., Furuse, J., et al. (2018) · Japanese Journal of Clinical Oncology · doi:10.1093/jjco/hyy190 · Cited by 531
Effect of Exercise and Nutrition Prehabilitation on Functional Capacity in Esophagogastric Cancer Surgery: A Randomized Clinical Trial
Minnella, E. M., Awasthi, R., Loiselle, S.-E., Agnihotram, R. V., Ferri, L. E., & Carli, F. (2018) · JAMA Surgery · doi:10.1001/jamasurg.2018.1645 · Cited by 522
Targeting ALK: Precision Medicine Takes on Drug Resistance
Lin, J. J., Riely, G. J., & Shaw, A. T. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-1123 · Cited by 532
DNA Damage, Mutagenesis and Cancer
Basu, A. K. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19040970 · Cited by 556

Authors: Siegel, R. L., Miller, K. D., & Jemal, A.
Affiliations: American Cancer Society (US)
Corresponding author: Siegel, Rebecca L.
ORCID: Siegel, Rebecca L.
Miller, Kimberly D.
Jemal, Ahmedin
Venue: CA: A Cancer Journal for Clinicians
Publisher: Wiley
Published: 2016-01
Volume: 66
Issue: 1
Pages: 7-30
ISSN: 0007-9235 (ISSN-L)
1542-4863
DOI: 10.3322/caac.21332
OpenAlex: W2235523093
Cited by: 16,003
References: 66
Citations by year: 2026: 50 · 2025: 222 · 2024: 343 · 2023: 563 · 2022: 795 · 2021: 1226 · 2020: 1590 · 2019: 2001 · 2018: 3108 · 2017: 4325 · 2016: 1700
FWCI: 2000.05
Type: journal article
Language: en
Open access: gold
doi.org
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor, 6 d)
Locations: CA A Cancer Journal for Clinicians (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Science, Research, and Medicine
Keywords: cancer incidence, cancer mortality, cancer survival, cancer projections, incidence trends, prostate cancer, liver cancer, pancreatic cancer, endometrial cancer, brain cancer, childhood cancer, cancer control, cancer research funding
MeSH terms: American Cancer Society, Female, Humans, Male, Neoplasms, Registries, United States, Incidence, Survival Rate, Sex Distribution, SEER Program, Racial Groups

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

Cancer statistics, 2016

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks