This statistic shows the number of registrations of newly diagnosed cases of colon cancer in England in 2022, by age group and gender. The group most affected by colon cancer was men aged 75 to 79 years, with *** thousand cases registered. It should, of course, be noted that the number of people in England in each age group varies and is therefore not necessarily a reflection of susceptibility to colon cancer.

BackgroundColorectal cancer incidence in the UK and other high-income countries has been increasing rapidly among young adults. This is the first analysis of colorectal cancer incidence trends by sub-site and socioeconomic deprivation in young adults in a European country.MethodsWe examined age-specific national trends in colorectal cancer incidence among all adults (20–99 years) diagnosed during 1971–2014, using Joinpoint regression to analyse data from the population-based cancer registry for England. We fitted a generalised linear model to the incidence rates, with a maximum of two knots. We present the annual percentage change in incidence rates in up to three successive calendar periods, by sex, age, deprivation and anatomical sub-site.ResultsAnnual incidence rates among the youngest adults (20–39 years) fell slightly between 1971 and the early 1990s, but increased rapidly from then onwards. Incidence Rates (IR) among adults 20–29 years rose from 0.8 per 100,000 in 1993 to 2.8 per 100,000 in 2014, an average annual increase of 8%. An annual increase of 8.1% was observed for adults aged 30–39 years during 2005–2014. Among the two youngest age groups (20–39 years), the average annual increase for the right colon was 5.2% between 1991 and 2010, rising to 19.4% per year between 2010 (IR = 1.2) and 2014 (IR = 2.5). The large increase in incidence rates for cancers of the right colon since 2010 were more marked among the most affluent young adults. Smaller but substantial increases were observed for cancers of the left colon and rectum. Incidence rates in those aged 50 years and older remained stable or decreased over the same periods.ConclusionsDespite the overall stabilising trend of colorectal cancer incidence in England, incidence rates have increased rapidly among young adults (aged 20–39 years). Changes in the prevalence of obesity and other risk factors may have affected the young population but more research is needed on the cause of the observed birth cohort effect. Extension of mass screening may not be justifiable due to the low number of newly diagnosed cases but clinicians should be alert to this trend.

This publication reports on newly diagnosed cancers registered in England during 2022. It includes this summary report showing key findings, spreadsheet tables with more detailed estimates, and a methodology document. Cancer registration estimates are provided for: • Incidence of cancer using groupings that incorporate both the location and type of cancer by combinations of gender, age, deprivation, and stage at diagnosis (where appropriate) for England, former Government office regions, Cancer alliances and Integrated care boards • Incidence and mortality (using ICD-10 3-digit codes) by gender and age group for England, former Government office regions, Cancer alliances and Integrated care boards This publication will report on 2022 cancer registrations only, trends will not be reported as the required re-stated populations for 2012 to 2020 are not expected to be published by the Office of National Statistics (ONS) until Winter 2024.

In 2022, 55.8 males and 44.3 females per 100,000 population in England were registered as newly diagnosed with colon cancer. The rate of both females and males registered as newly diagnosed with colon cancer considerably decreased from the previous year. This statistic shows the rate of newly diagnosed cases of colon cancer per 100,000 population in England from 1995 to 2022, by gender.

This dataset contains real-world information about colorectal cancer cases from different countries. It includes patient demographics, lifestyle risks, medical history, cancer stage, treatment types, survival chances, and healthcare costs. The dataset follows global trends in colorectal cancer incidence, mortality, and prevention.

Use this dataset to build models for cancer prediction, survival analysis, healthcare cost estimation, and disease risk factors.

Dataset Structure Each row represents an individual case, and the columns include:

Patient_ID (Unique identifier) Country (Based on incidence distribution) Age (Following colorectal cancer age trends) Gender (M/F, considering men have 30-40% higher risk) Cancer_Stage (Localized, Regional, Metastatic) Tumor_Size_mm (Randomized within medical limits) Family_History (Yes/No) Smoking_History (Yes/No) Alcohol_Consumption (Yes/No) Obesity_BMI (Normal/Overweight/Obese) Diet_Risk (Low/Moderate/High) Physical_Activity (Low/Moderate/High) Diabetes (Yes/No) Inflammatory_Bowel_Disease (Yes/No) Genetic_Mutation (Yes/No) Screening_History (Regular/Irregular/Never) Early_Detection (Yes/No) Treatment_Type (Surgery/Chemotherapy/Radiotherapy/Combination) Survival_5_years (Yes/No) Mortality (Yes/No) Healthcare_Costs (Country-dependent, $25K-$100K+) Incidence_Rate_per_100K (Country-level prevalence) Mortality_Rate_per_100K (Country-level mortality) Urban_or_Rural (Urban/Rural) Economic_Classification (Developed/Developing) Healthcare_Access (Low/Moderate/High) Insurance_Status (Insured/Uninsured) Survival_Prediction (Yes/No, based on factors)

This publication reports on newly diagnosed cancers registered in England during 2021. It includes this summary report showing key findings, spreadsheet tables with more detailed estimates, and a methodology document. Cancer registrations (incidence) are provided by: Diagnosis (ICD-10 3-digit codes) by gender, age group, geographic region, deprivation and stage at diagnosis for selected cancer sites Diagnosis (ICD-10 4-digit code) by gender and age group

This statistic shows the amount of registrations of newly diagnosed cases of small intestine cancer in England in 2022, by age group and gender. With a total of *** cases in 2022, the age group most affected by small intestine cancer was men aged between 75 and 79 years. It should, of course, be noted that the number of people in England in each age group varies and is therefore not necessarily a reflection of susceptibility to this cancer.

This dataset contains information about colorectal cancer patients from different parts of the world. It includes details about age, gender, race, diet, medical history, access to healthcare, lifestyle choices, and cancer outcomes. The goal is to help researchers and healthcare professionals understand who is at higher risk, how treatment access impacts survival, and what factors contribute to better or worse outcomes.

For 2023, it was estimated that there would be *** new colorectal cancer cases among those between individuals aged 15 and 29 years in Canada. This statistic shows the estimated number of new colorectal cancer cases in Canada by age group in 2023.

Aizawl district in the eastern state of Mizoram in India had age adjusted incidence rate of colon cancer cases among male of over ***** cases per million male adults between the years 2012 and 2016. Whereas, the age incidence rate of colon cancer among women in that region was over **** cases per million females in the country.

Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.Cancer incidence ratesIncidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

In 2023, it was estimated that there would be five colorectal cancer deaths among those between 15 and 29 years in Canada. This statistic displays the estimated number of colorectal cancer deaths in Canada by age group in 2023.

Death rate has been age-adjusted to the 2000 U.S. standard population. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Being physically active and eating a diet that is rich in fruits, vegetables, lean meats, and fiber can reduce the risk of colon cancer. Promoting healthy food retail and access to preventive care services are important measures that cities and communities can take to prevent colon cancer.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Variables included in the best fitted models for different types of cancer morbidity; main variables are denoted as age (a), year (t), gender (g), region (r), deprivation (d), with corresponding interactions shown as, e.g., a:t.

Variables included in the best fitted models for different types of cancer mortality; main variables are denoted as age (a), year (t), gender (g), region (r), deprivation (d), average age-at-diagnosis (AAD), with corresponding interactions shown as, e.g., a:t.

Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.Cancer incidence ratesIncidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

Background Development of proximal and distal colorectal cancers involve partly different mechanisms associated with the microsatellite instability (MSI) and the chromosomal instability (CIN) pathways. Colorectal cancers in patients under 50 years of age represent about 5% of the total number of tumors and have been associated with an increased frequency of MSI tumors. However, MSI and CIN may play different roles in the development of colon cancer and rectal cancer, and we have specifically investigated their contribution to the development of rectal cancer at young age.

   Methods
   Thirty rectal cancers diagnosed before the age of 50 were characterized for DNA-ploidy, MSI, mutations of KRAS and CTNNB1 and immunohistochemical expression of p53, β-catenin and of the mismatch repair (MMR) proteins MLH1 and MSH2.


   Results
   DNA aneuploidy was detected in 21/30 tumors, KRAS mutations in 6 tumors, no mutations of CTNNB1 were detected but immunohistochemical staining for β-catenin showed nuclear staining in 6 tumors, and immunohistochemical expression of p53 was detected in 18 tumors. MSI was detected in 3/30 tumors, all of which showed and immunohistochemical loss of staining for the MMR protein MSH2, which strongly indicates a phenotype associated with hereditary nonpolyposis colorectal cancer (HNPCC).


   Conclusions
   MSI occurs only in a small fraction of the tumors from young patients with rectal cancer, but when present it strongly indicates an underlying HNPCC-causing mutation, and other mechanisms than HNPCC thus cause rectal cancer in the majority of young patients.

Legacy unique identifier: P00225

This statistic displays the percentage of U.S. adults aged between 50 to 75 years who were up to date with colorectal cancer screening as of 2018, by age. Around 79 percent of survey respondents aged 65 to 75 years indicated that they were up to date with colorectal cancer screening. Standard preventative screening includes a fecal occult blood tests within 1 year, sigmoidoscopy within 5 years and fecal occult blood test within 3 years, or colonoscopy within 10 years.

This dataset presents the footprint of participation statistics in the National Bowel Cancer Screening Program (NBCSP) for people aged 50 to 74. The NBCSP began in 2006. It aims to reduce morbidity and mortality from bowel cancer by actively recruiting and screening the eligible target population for early detection or prevention of the disease. The data spans the years of 2015-2017 and is aggregated to Statistical Area Level 2 (SA2) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).

Cancer is one of the leading causes of illness and death in Australia. Cancer screening programs aim to reduce the impact of selected cancers by facilitating early detection, intervention and treatment. Australia has three cancer screening programs:

• BreastScreen Australia

• National Cervical Screening Program (NCSP)

• National Bowel Cancer Screening Program (NBCSP)

The National cancer screening programs participation data presents the latest cancer screening participation rates and trends for Australia's 3 national cancer screening programs. The data has been sourced from the Australian Institute of Health and Welfare (AIHW) analysis of National Bowel Cancer Screening Program register data, state and territory BreastScreen Australia register data and state and territory cervical screening register data.

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - National Cancer Screening Programs Participation Data Tables.

Please note:

• AURIN has spatially enabled the original data.

• Participation rates represent the percentage of people invited to screen through the NBCSP during the relevant 2-year period, who returned a completed screening test within that period or by 30 June of the following year. The number of individuals invited to screen excludes those who deferred or opted out without completing their screening test.

• Values assigned to n.p. in the original data have been set to null.

• SA2 areas were assigned to NBCSP invitees using an SA1 to SA2 correspondence. Those invitees without reliable SA1 details were mapped with a postcode to SA2 correspondences instead, which may lead to some minor inaccuracies in results.

• Some invitee SA1 codes and postcodes cannot be attributed to an SA2. These invitees were included in an 'Unknown' group where applicable.

• Some postcodes cross SA2 boundaries, leading to slight inaccuracies.

• Biennial screening for those aged 50-74 is not fully rolled out. During the time period reported, the specific ages invited within the 50-74 age range included 50, 54, 55, 58, 60, 64, 65, 68, 70, 72 and 74.

• These results calculate participation rates using the new NBCSP performance indicator specifications. This indicator now measures a 2-year invitation period and also excludes those who opted off or suspended participation. Therefore, these results cannot be compared to rates reported prior to 2014.

• NBCSP participation rates per area are not related to bowel cancer incidence rates.

• SA2 areas with a numerator less than 20 or a denominator less than 100 have been suppressed. SA2 data for the Blue Mountains - South, Christmas Island, Cocos (Keeling) Islands, Illawarra Catchment Reserve, Jervis Bay and Lord Howe Island were suppressed due to reliability concerns from low numbers in these regions.

• The 2015-2016 period covers 1 January 2015 to 31 December 2016, and the 2016-2017 period covers 1 January 2016 to 31 December 2017.

• Participation by SA2 is not available for the period 2014-2015.

• The number of people in different SA2s may not sum to 'Australia' total due to rounding.