100+ datasets found
  1. Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER)...

    • healthdata.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Feb 13, 2021
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    (2021). Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use [Dataset]. https://healthdata.gov/Health/Cancer-Incidence-Surveillance-Epidemiology-and-End/i3ww-np2h
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    application/rdfxml, csv, xml, application/rssxml, tsv, jsonAvailable download formats
    Dataset updated
    Feb 13, 2021
    Description

    SEER Limited-Use cancer incidence data with associated population data. Geographic areas available are county and SEER registry. The Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute collects and distributes high quality, comprehensive cancer data from a number of population-based cancer registries. Data include patient demographics, primary tumor site, morphology, stage at diagnosis, first course of treatment, and follow-up for vital status. The SEER Program is the only comprehensive source of population-based information in the United States that includes stage of cancer at the time of diagnosis and survival rates within each stage.

  2. i

    SEER Breast Cancer Data

    • ieee-dataport.org
    • data.niaid.nih.gov
    • +2more
    Updated Jun 16, 2025
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    jing teng (2025). SEER Breast Cancer Data [Dataset]. https://ieee-dataport.org/open-access/seer-breast-cancer-data
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    Dataset updated
    Jun 16, 2025
    Authors
    jing teng
    Description

    examined regional LNs

  3. H

    SEER Cancer Statistics Database

    • data.niaid.nih.gov
    Updated Jul 11, 2011
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    (2011). SEER Cancer Statistics Database [Dataset]. http://doi.org/10.7910/DVN/C9KBBC
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    Dataset updated
    Jul 11, 2011
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Users can access data about cancer statistics in the United States including but not limited to searches by type of cancer and race, sex, ethnicity, age at diagnosis, and age at death. Background Surveillance Epidemiology and End Results (SEER) database’s mission is to provide information on cancer statistics to help reduce the burden of disease in the U.S. population. The SEER database is a project to the National Cancer Institute. The SEER database collects information on incidence, prevalence, and survival from specific geographic areas representing 28 percent of the United States population. User functionality Users can access a variety of reso urces. Cancer Stat Fact Sheets allow users to look at summaries of statistics by major cancer type. Cancer Statistic Reviews are available from 1975-2008 in table format. Users are also able to build their own tables and graphs using Fast Stats. The Cancer Query system provides more flexibility and a larger set of cancer statistics than F ast Stats but requires more input from the user. State Cancer Profiles include dynamic maps and graphs enabling the investigation of cancer trends at the county, state, and national levels. SEER research data files and SEER*Stat software are available to download through your Internet connection (SEER*Stat’s client-server mode) or via discs shipped directly to you. A signed data agreement form is required to access the SEER data Data Notes Data is available in different formats depending on which type of data is accessed. Some data is available in table, PDF, and html formats. Detailed information about the data is available under “Data Documentation and Variable Recodes”.

  4. p

    BREAST CANCER - Dataset - CKAN

    • data.poltekkes-smg.ac.id
    Updated Oct 7, 2024
    + more versions
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    (2024). BREAST CANCER - Dataset - CKAN [Dataset]. https://data.poltekkes-smg.ac.id/dataset/breast-cancer
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    Dataset updated
    Oct 7, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset of breast cancer patients was obtained from the 2017 November update of the SEER Program of the NCI, which provides information on population-based cancer statistics. The dataset involved female patients with infiltrating duct and lobular carcinoma breast cancer (SEER primary cites recode NOS histology codes 8522/3) diagnosed in 2006-2010. Patients with unknown tumour size, examined regional LNs, positive regional LNs, and patients whose survival months were less than 1 month were excluded; thus, 4024 patients were ultimately included.

  5. SEER-Medicare Linked Database

    • datacatalog.hshsl.umaryland.edu
    Updated Oct 27, 2023
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    National Cancer Institute-Division of Cancer Control & Population Sciences (2023). SEER-Medicare Linked Database [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/48
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    Dataset updated
    Oct 27, 2023
    Dataset provided by
    National Cancer Institutehttp://www.cancer.gov/
    Authors
    National Cancer Institute-Division of Cancer Control & Population Sciences
    Area covered
    United States
    Description

    This series of files links two large population-based sources providing detailed data about Medicare beneficiaries with cancer. The SEER (Surveillance, Epidemiology, and End Results) program consists of clinical, demographic, and cause of death information collected from tumor registries beginning in January 1, 1973. The Medicare contribution includes all claims for covered health care services from beneficiaries’ time of eligibility until death. Linkage is processed biennially by SEER and Centers for Medicare and Medicaid Services (CMS) staff. 95% of individuals age 65 and older are included in the SEER files. Due to privacy concerns, access to this database requires an application, SEER-Medicare Data Use Agreement (DUA), and documentation of institutional review board approval. Additionally, the National Cancer Institute’s information technology contractor assesses a processing fee the amount of which is dependent upon the type and number of files requested.

  6. n

    Surveillance Epidemiology and End Results

    • neuinfo.org
    • scicrunch.org
    • +2more
    Updated Jan 29, 2022
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    (2022). Surveillance Epidemiology and End Results [Dataset]. http://identifiers.org/RRID:SCR_006902
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    Dataset updated
    Jan 29, 2022
    Description

    SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users.

  7. a

    NCI State Cancer Incidence Rates

    • hub.arcgis.com
    Updated Aug 20, 2019
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    National Cancer Institute (2019). NCI State Cancer Incidence Rates [Dataset]. https://hub.arcgis.com/datasets/NCI::nci-state-cancer-incidence-rates
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    Dataset updated
    Aug 20, 2019
    Dataset authored and provided by
    National Cancer Institute
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset contains Age-Adjusted Rate, Confidence Interval, Average Annual Count, and Trend field information for US States for the average 5 year span from 2012 to 2016.Data is segmented by sex and age, with fields describing the sex and age group tabulated.For more information, visit statecancerprofiles.cancer.gov Data NotationsState Cancer Registries may provide more current or more local data.† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population seer.cancer.gov/stdpopulations/stdpop.19ages.html. Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. [seer.cancer.gov/seerstat]Population counts for denominators are based on Census populations as modified [seer.cancer.gov/popdata] by NCI. The 1969-2016 US Population Data File [seer.cancer.gov/popdata] is used for SEER and NPCR incidence rates.‡ Incidence data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information. Rates and trends are computed using different standards for malignancy. For more information see malignant.html.^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage [seer.cancer.gov/tools/ssm].Healthy People 2020 Objectives [www.healthypeople.gov]provided by the Centers for Disease Control and Prevention [www.cdc.gov]. Michigan Data do not include cases diagnosed in other states for those states in which the data exchange agreement specifically prohibits the release of data to third parties.Trend Data not available for Nevada.Data Source Field Key:(1) Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2018 data submission and SEER November 2018 submission as published in United States Cancer Statistics nccd.cdc.gov/uscs Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2018 data submission. State rates include rates from metropolitan areas funded by SEER [seer.cancer.gov/registries].(6) Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2018 data submission.(7) Source: SEER November 2018 submission.8 Source: Incidence data provided by the SEER Program. [seer.cancer.gov] AAPCs are calculated by the Joinpoint Regression Program [surveillance.cancer.gov/joinpoint] and are based on APCs. Data are age-adjusted to the 2000 US standard population www.seer.cancer.gov/stdpopulations/single_age.html. Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2017 US Population Data [seer.cancer.gov/popdata] File is used with SEER November 2018 data. Please note that the data comes from different sources. Due to different years [statecancerprofiles.cancer.gov/historicaltrend/differences.html] of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. [seer.cancer.gov/seerstat] Please refer to the source for each graph for additional information. Some data are not available [http://statecancerprofiles.cancer.gov/datanotavailable.html] for combinations of geography, cancer site, age, and race/ethnicity.

  8. a

    NCI State Late Stage Breast Cancer Incidence Rates

    • hub.arcgis.com
    Updated Jan 21, 2020
    + more versions
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    National Cancer Institute (2020). NCI State Late Stage Breast Cancer Incidence Rates [Dataset]. https://hub.arcgis.com/datasets/9dd0d923f8034cc8806173fdc224777d
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    Dataset updated
    Jan 21, 2020
    Dataset authored and provided by
    National Cancer Institute
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset contains Cancer Incidence data for Breast Cancer (Late Stage^) including: Age-Adjusted Rate, Confidence Interval, Average Annual Count, and Trend field information for US States for the average 5 year span from 2016 to 2020.Data are for females segmented by age (All Ages, Ages Under 50, Ages 50 & Over, Ages Under 65, and Ages 65 & Over), with field names and aliases describing the sex and age group tabulated.For more information, visit statecancerprofiles.cancer.govData NotationsState Cancer Registries may provide more current or more local data.TrendRising when 95% confidence interval of average annual percent change is above 0.Stable when 95% confidence interval of average annual percent change includes 0.Falling when 95% confidence interval of average annual percent change is below 0.† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used for SEER and NPCR incidence rates.‡ Incidence Trend data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information.Rates and trends are computed using different standards for malignancy. For more information see malignant.^ Late Stage is defined as cases determined to be regional or distant. Due to changes in stage coding, Combined Summary Stage (2004+) is used for data from Surveillance, Epidemiology, and End Results (SEER) databases and Merged Summary Stage is used for data from National Program of Cancer Registries databases. Due to the increased complexity with staging, other staging variables maybe used if necessary.Data Source Field Key(1) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(5) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(6) Source: National Program of Cancer Registries SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention (based on the 2022 submission).(7) Source: SEER November 2022 submission.(8) Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used with SEER November 2022 data.Some data are not available, see Data Not Available for combinations of geography, cancer site, age, and race/ethnicity.Data for the United States does not include data from Nevada.Data for the United States does not include Puerto Rico.

  9. NCI State Breast Cancer Incidence Rates

    • hub.arcgis.com
    Updated Jan 2, 2020
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    National Cancer Institute (2020). NCI State Breast Cancer Incidence Rates [Dataset]. https://hub.arcgis.com/maps/NCI::nci-state-breast-cancer-incidence-rates
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    Dataset updated
    Jan 2, 2020
    Dataset authored and provided by
    National Cancer Institutehttp://www.cancer.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset contains Cancer Incidence data for Breast Cancer (All Stages^) including: Age-Adjusted Rate, Confidence Interval, Average Annual Count, and Trend field information for US States for the average 5 year span from 2016 to 2020.Data are for females segmented by age (All Ages, Ages Under 50, Ages 50 & Over, Ages Under 65, and Ages 65 & Over), with field names and aliases describing the sex and age group tabulated.For more information, visit statecancerprofiles.cancer.govData NotationsState Cancer Registries may provide more current or more local data.TrendRising when 95% confidence interval of average annual percent change is above 0.Stable when 95% confidence interval of average annual percent change includes 0.Falling when 95% confidence interval of average annual percent change is below 0.† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used for SEER and NPCR incidence rates.‡ Incidence Trend data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information.Rates and trends are computed using different standards for malignancy. For more information see malignant.^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.Data Source Field Key(1) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(5) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(6) Source: National Program of Cancer Registries SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention (based on the 2022 submission).(7) Source: SEER November 2022 submission.(8) Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used with SEER November 2022 data.Some data are not available, see Data Not Available for combinations of geography, cancer site, age, and race/ethnicity.Data for the United States does not include data from Nevada.Data for the United States does not include Puerto Rico.

  10. f

    Tumor characteristics and prognosis.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte (2023). Tumor characteristics and prognosis. [Dataset]. http://doi.org/10.1371/journal.pone.0117829.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NA- not assessed/availableWT: wild typeTumor characteristics and prognosis.

  11. a

    NCI State Lung Cancer Incidence Rates

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jan 2, 2020
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    National Cancer Institute (2020). NCI State Lung Cancer Incidence Rates [Dataset]. https://hub.arcgis.com/maps/NCI::nci-state-lung-cancer-incidence-rates
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    Dataset updated
    Jan 2, 2020
    Dataset authored and provided by
    National Cancer Institute
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset contains Cancer Incidence data for Lung Cancer (All Stages^) including: Age-Adjusted Rate, Confidence Interval, Average Annual Count, and Trend field information for US States for the average 5 year span from 2016 to 2020.Data are segmented by sex (Both Sexes, Male, and Female) and age (All Ages, Ages Under 50, Ages 50 & Over, Ages Under 65, and Ages 65 & Over), with field names and aliases describing the sex and age group tabulated.For more information, visit statecancerprofiles.cancer.govData NotationsState Cancer Registries may provide more current or more local data.TrendRising when 95% confidence interval of average annual percent change is above 0.Stable when 95% confidence interval of average annual percent change includes 0.Falling when 95% confidence interval of average annual percent change is below 0.† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used for SEER and NPCR incidence rates.‡ Incidence Trend data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information.Rates and trends are computed using different standards for malignancy. For more information see malignant.^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.Data Source Field Key(1) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(5) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(6) Source: National Program of Cancer Registries SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention (based on the 2022 submission).(7) Source: SEER November 2022 submission.(8) Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used with SEER November 2022 data.Some data are not available, see Data Not Available for combinations of geography, cancer site, age, and race/ethnicity.Data for the United States does not include data from Nevada.Data for the United States does not include Puerto Rico.

  12. f

    Trend analysis of major cancer statistics according to sex and severity...

    • plos.figshare.com
    docx
    Updated Jun 1, 2023
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    Minsu Ock; Woong Jae Choi; Min-Woo Jo (2023). Trend analysis of major cancer statistics according to sex and severity levels in Korea [Dataset]. http://doi.org/10.1371/journal.pone.0203110
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Minsu Ock; Woong Jae Choi; Min-Woo Jo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Korea
    Description

    Existing epidemiologic reports or studies of cancer statistics in Korea lack sufficient data on cancer severity distributions and observed survival rates. This study analyzed trends in major cancer statistics according to sex and severity levels in Korea from 2006 to 2013. We included eight cancers (hepatocellular carcinoma, and thyroid, colorectal, gastric, lung, prostate, breast, and cervical cancer), using Korea Central Cancer Registry data. Severity level was classified by Surveillance, Epidemiology, and End Results (SEER) stage as follows: localized, regional, distant, or unknown. Numbers of incident cancer cases from 2006 to 2013 were described by sex and SEER stage. We estimated up to 8-year observed survival rates of major cancers by sex and SEER stage, and provided prevalence rates by sex and SEER stage in 2011, 2012, and 2013. Although increases in new cancer cases are slowing and the total number of incident cancer cases in 2013 decreased for the first time since 2006, the number of prevalent cancer cases was 663,530 in 2013, an increase of 13.3% compared to 2011. Among the five cancers affecting both sexes, sex-related differences in 5-year observed survival rates for lung cancer were greatest in the localized stage (men, 31.9%; women, 48.1%), regional stage (men, 20.0%; women, 31.3%), and unknown stage (men, 24.3%; women, 37.5%). The sum of the proportions of localized and regional stages for thyroid and breast cancer was over 90% in 2013, while the sum of the proportions of localized and regional stages for lung cancer was only 56.7% in 2013. Differences in observed survival rates between men and women were prominent in lung cancer for all SEER stages. The reported epidemiologic data from this study can be used to obtain a more valid measure of cancer burden using a summary measure of population health.

  13. Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER)...

    • healthdata.gov
    application/rdfxml +5
    Updated Jul 25, 2023
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    (2023). Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use - i3ww-np2h - Archive Repository [Dataset]. https://healthdata.gov/dataset/Cancer-Incidence-Surveillance-Epidemiology-and-End/88bx-suh2
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    xml, csv, tsv, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    This dataset tracks the updates made on the dataset "Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use" as a repository for previous versions of the data and metadata.

  14. d

    Pancreatic cancer data(from SEER)

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Xu, Benhua (2023). Pancreatic cancer data(from SEER) [Dataset]. http://doi.org/10.7910/DVN/IX7E5O
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Xu, Benhua
    Description

    The pancreatic cancer patients data from SEER between 2001 and 2015.

  15. f

    Nipple sparing mastectomy in breast cancer patients and long-term survival...

    • plos.figshare.com
    png
    Updated Jun 1, 2023
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    Mingzhu Li; Kai Chen; Fengtao Liu; Fengxi Su; Shunrong Li; Liling Zhu (2023). Nipple sparing mastectomy in breast cancer patients and long-term survival outcomes: An analysis of the SEER database [Dataset]. http://doi.org/10.1371/journal.pone.0183448
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    pngAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mingzhu Li; Kai Chen; Fengtao Liu; Fengxi Su; Shunrong Li; Liling Zhu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PurposeTo determine the prevalence of nipple-sparing mastectomy (NSM) and its long-term survival outcomes in breast cancer patients.MethodWe used the Surveillance, Epidemiology, and End Results database and identified 2,440 breast cancer patients who received NSM during 1998–2013. We used chi-square and binary logistic regression to identify factors associated with the use of radiotherapy after NSM. We used Kaplan-Meier analysis to estimate cancer-specific survival (CSS) and overall survival (OS). We used the log-rank test and Cox regression to identify factors associated with CSS and OS.ResultsThe median age of the population was 50 years. There were 725 (29.7%), 1064 (43.6%) and 651 (26.7%) patients who had Tis, T1 and T2-3 disease and 1943 (79.6%), 401 (16.4%) and 96 (3.9%) patients who had N0, N1 and N2-3 disease, respectively. The rates of RT use were 61.4%, 39.6% and 10.9% in patients with N2-3 disease, N1 or T3/N0 disease and Tis/T1-2N0 disease, respectively. Elderly age, African American race, and higher T-stage and N-stage were associated with receiving radiotherapy. For patients diagnosed between 1998–2010 (N = 763), the median follow-up was 69 months. The 5- and 10-yr CSS were 96.9% and 94.9%, respectively. The 5- and 10-yr OS were 94.1% and 88.0%, respectively. Ethnicity, T-stage and N-stage were factors independently associated with CSS, and age and T-stage were factors independently associated with OS.ConclusionsThe use of NSM has increased, and it is oncologically safe for breast cancer patients.

  16. m

    A Geotemporospatial and Causal Inference Epidemiological Exploration of...

    • data.mendeley.com
    • researchdata.edu.au
    Updated Sep 8, 2020
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    Albert Reece (2020). A Geotemporospatial and Causal Inference Epidemiological Exploration of Substance and Cannabinoid Exposure as Drivers of Rising US Pediatric Cancer Rates - Dataset [Dataset]. http://doi.org/10.17632/wft6gkhdyw.1
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    Dataset updated
    Sep 8, 2020
    Authors
    Albert Reece
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Data support a paper of this title:

    A Geotemporospatial and Causal Inference Epidemiological Exploration of Substance and Cannabinoid Exposure as Drivers of Rising US Pediatric Cancer Rates

    Data represent a compilation of various data inputs from numerous sources including the National Cancer Institute SEER*Stat National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database: NPCR and SEER Incidence – U.S. Cancer Statistics Public Use Research Database, 2019 submission (2001-2017), United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Released June 2020. Available at www.cdc.gov/cancer/public-use program; the National survey of Drug Use and Health conducted by the Substance Abuse and Mental Health Services Administration; and the US Census bureau.

    Data also include inverse probability weights for cannabis exposure.

    Data also include their geospatial linkage network constructed for all US states which makes Alaska and Hawaii spatially connected to the contiguous USA.

    Data also include the R script used to conduct and prepare the analysis.

  17. SEER Breast Cancer Data Set

    • kaggle.com
    Updated Dec 17, 2023
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    Ahmed Ashraf (2023). SEER Breast Cancer Data Set [Dataset]. https://www.kaggle.com/datasets/ahmad03038/seer-breast-cancer-data-set/discussion?sort=undefined
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 17, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ahmed Ashraf
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset

    This dataset was created by Ahmed Ashraf

    Released under Apache 2.0

    Contents

  18. f

    Supplementary file 1_Construction and validation of nomograms for predicting...

    • frontiersin.figshare.com
    docx
    Updated Apr 29, 2025
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    Yadong Zhang; Liyi Rong; Hairong Jiang; Xin Mu; Hongfu Zhao (2025). Supplementary file 1_Construction and validation of nomograms for predicting overall survival and cause-specific survival in cervical cancer patients undergoing radical radiotherapy based on the SEER database.docx [Dataset]. http://doi.org/10.3389/fmed.2025.1587465.s001
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    docxAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Frontiers
    Authors
    Yadong Zhang; Liyi Rong; Hairong Jiang; Xin Mu; Hongfu Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectiveThis study aimed to construct and validate competitive-risk model nomograms using the Surveillance, Epidemiology, and End Results (SEER) database to predict the overall survival (OS) and cause-specific survival (CSS) for cervical cancer patients treated with radical radiotherapy from 2000 to 2020.MaterialsCervical cancer cases treated with radical radiotherapy in the SEER database were retrieved. Inclusion criteria included the pathological diagnosis of cervical cancer, diagnosis within the specified time frame, and age between 20 and 79 years. Exclusion criteria were the presence of other malignant tumors, cancer-directed surgery, and incomplete data. Variables such as age, diagnosis year, and race were extracted. Patients were randomly divided into a training set and a validation set at a 4:1 ratio using a stratified random sampling method. For the training set patients, univariate and multivariate Cox regression analyses were performed, and CRM nomograms to predict the 3-year and 5-year OS and CSS were created in R. Harrell’s concordance index (C-index) and a calibration curve were used to assess model performance.ResultsA total of 8,810 patients were included for OS and CSS analysis. The median follow-up was 26 months. The median OS was 64.0 months and CSS was 135.0 months. Diagnosis year, marital status, histologic type, chemotherapy, T stage, N stage, M stage, tumor size, median household income, and radiation modality were factors influencing the median survival time of OS and CSS. Age was an independent factor influencing OS. The C-index for OS and CSS predictions were 0.72 [95% confidence intervals (CI), 0.70 to 0.74] and 0.73 (95% CI, 0.71 to 0.75), respectively. Calibration plots showed good agreement between nomogram predictions and actual observations.ConclusionThe nomograms can objectively and precisely predict the OS and CSS of cervical cancer patients receiving radical radiotherapy.

  19. w

    Late-Stage Female Breast Cancer Incidence Rate (cases per 100,000 females),...

    • data.wu.ac.at
    • healthdata.nj.gov
    Updated May 16, 2018
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    Loretta Kelly (2018). Late-Stage Female Breast Cancer Incidence Rate (cases per 100,000 females), New Jersey, by year: Beginning 2010 [Dataset]. https://data.wu.ac.at/odso/healthdata_nj_gov/OXp6dy1iemV4
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    Dataset updated
    May 16, 2018
    Dataset provided by
    Loretta Kelly
    Area covered
    New Jersey
    Description

    Rate: Number of new cases of breast cancer (per 100,000) diagnosed at the regional or distant stage among females.

    Definition: Age-adjusted incidence rate of invasive breast cancer per 100,000 female population.

    Data Sources:

    (1) NJ State Cancer Registry, Dec 31, 2015 Analytic File, using NCI SEER*Stat ver 8.2.1 (www.seer.cancer.gov/seerstat)

    (2) NJ population estimates as calculated by the NCI's SEER Program, released January 2015, http://www.seer.cancer.gov/popdata/download.html.

  20. G

    Number and rates of new cases of primary cancer, by cancer type, age group...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Feb 3, 2025
    + more versions
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    Statistics Canada (2025). Number and rates of new cases of primary cancer, by cancer type, age group and sex [Dataset]. https://open.canada.ca/data/en/dataset/e667992c-5f2e-425a-8a44-a880930d82d8
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    csv, xml, htmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Number and rate of new cancer cases diagnosed annually from 1992 to the most recent diagnosis year available. Included are all invasive cancers and in situ bladder cancer with cases defined using the Surveillance, Epidemiology and End Results (SEER) Groups for Primary Site based on the World Health Organization International Classification of Diseases for Oncology, Third Edition (ICD-O-3). Random rounding of case counts to the nearest multiple of 5 is used to prevent inappropriate disclosure of health-related information.

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(2021). Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use [Dataset]. https://healthdata.gov/Health/Cancer-Incidence-Surveillance-Epidemiology-and-End/i3ww-np2h
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Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use

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4 scholarly articles cite this dataset (View in Google Scholar)
application/rdfxml, csv, xml, application/rssxml, tsv, jsonAvailable download formats
Dataset updated
Feb 13, 2021
Description

SEER Limited-Use cancer incidence data with associated population data. Geographic areas available are county and SEER registry. The Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute collects and distributes high quality, comprehensive cancer data from a number of population-based cancer registries. Data include patient demographics, primary tumor site, morphology, stage at diagnosis, first course of treatment, and follow-up for vital status. The SEER Program is the only comprehensive source of population-based information in the United States that includes stage of cancer at the time of diagnosis and survival rates within each stage.

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