In 2022, there were an estimated 2.48 million new cases of trachea, bronchus, and lung cancer worldwide. Breast cancer was the second most common cancer type at that time with around 2.3 million new cases worldwide.

Number of new cancer cases

Cancer can be caused by internal factors like genetics and mutations, as well as external factors such as smoking and radiation. It occurs in the presence of uncontrolled growth and spread of abnormal cells. However, many cancer cases could be prevented, for example, by omitting cigarette usage and heavy alcohol consumption. Risk of developing cancer tends to increase with age and is most common in older adults. Nevertheless, cancer can develop in individuals of any age. Cancer can be treated through surgery, radiation, and chemotherapy, among other methods.

In the United States, there will be an estimated two million new cancer cases and 611,720 deaths in 2024. Among U.S. men, prostate cancer and lung and bronchus cancers are the most common cancer types as of 2024, totaling an estimated 299,010 and 116,310 cases, respectively. In women, breast cancer and lung and bronchus cancer are the most common newly diagnosed types, totaling 310,720 and 118,270 cases, respectively.

North America had the highest 12-month cancer prevalence rate in 2022. The 12-month prevalence rate for all cancers in North America as of this time was 595 per 100,000 population. This statistic displays 12-month cancer prevalence rates worldwide in 2022, by region.

Editor’s Choice

• Global Breast Cancer Market size is expected to be worth around USD 49.2 Bn by 2032 from USD 19.8 Bn in 2022, growing at a CAGR of 9.8% during the forecast period from 2022 to 2032.
• Breast cancer is the most common cancer among women worldwide. In 2020, there were about 2.3 million new cases of breast cancer diagnosed globally.
• Breast cancer is the leading cause of cancer-related deaths in women. In 2020, it was responsible for approximately 685,000 deaths worldwide.
• The survival rate of breast cancer has improved over the years. In the United States, the overall five-year survival rate of breast cancer is around 90%.
• The American Cancer Society recommends annual mammograms starting at age 40 for women at average risk.
• Although rare, breast cancer also occurs in men. Less than 1% of breast cancer cases are diagnosed in males.

(Source: WHO, American Cancer Society)

This dataset contains information about cancer rate for 50 countries in the world. The data was obtained by doing web scraping from Wikipedia using BeautifulSoup in Python.

Wikipedia link: https://en.wikipedia.org/wiki/List_of_countries_by_cancer_rate

Image source: https://unsplash.com/photos/L7en7Lb-Ovc?utm_source=unsplash&utm_medium=referral&utm_content=creditShareLink

Users can access data about cancer statistics, specifically incidence and mortality worldwide for the 27 major types of cancer. Background Cancer Mondial is maintained by the Section of Cancer Information (CIN) of International Agency for Research on Cancer by the World Health Organization. Users can access CIN databases including GLOBOCAN, CI5(Cancer Incidence in Five Continents), WHO, ACCIS(Automated Childhood Cancer Information System), ECO (European Cancer Observatory), NORDCAN and Survcan. User functionality Users can access a variety of databases. CIN Databases: GLOBOCAN provides acces s to the most recent estimates (for 2008) of the incidence of 27 major cancers and mortality from 27 major cancers worldwide. CI5 (Cancer Incidence in Five Continents) provides access to detailed information on the incidence of cancer recorded by cancer registries (regional or national) worldwide. WHO presents long time series of selected cancer mortality recorded in selected countries of the world. Collaborative projects: ACCIS (Automated Childhood Cancer Information System) provides access to data on cancer incidence and survival of children collected by European cancer registries. ECO (European Cancer Observatory) provides access to the estimates (for 2008) of the incidence of, and mortality f rom 25 major cancers in the countries of the European Union (EU-27). NORDCAN presents up-to-date long time series of cancer incidence, mortality, prevalence and survival from 40 cancers recorded by the Nordic countries. SurvCan presents cancer survival data from cancer registries in low and middle income regions of the world. 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.

📄 Dataset Description: This dataset contains global cancer patient data reported from 2015 to 2024, designed to simulate the key factors influencing cancer diagnosis, treatment, and survival. It includes a variety of features that are commonly studied in the medical field, such as age, gender, cancer type, environmental factors, and lifestyle behaviors. The dataset is perfect for:

Exploratory Data Analysis (EDA)

Multiple Linear Regression and other modeling tasks

Feature Selection and Correlation Analysis

Predictive Modeling for cancer severity, treatment cost, and survival prediction

Data Visualization and creating insightful graphs

Key Features: Age: Patient's age (20-90 years)

Gender: Male, Female, or Other

Country/Region: Country or region of the patient

Cancer Type: Various types of cancer (e.g., Breast, Lung, Colon)

Cancer Stage: Stage 0 to Stage IV

Risk Factors: Includes genetic risk, air pollution, alcohol use, smoking, obesity, etc.

Treatment Cost: Estimated cost of cancer treatment (in USD)

Survival Years: Years survived since diagnosis

Severity Score: A composite score representing cancer severity

This dataset provides a broad view of global cancer trends, making it an ideal resource for those learning data science, machine learning, and statistical analysis in healthcare.

According to Cognitive Market Research, the global Cancer Cachexia market size is USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of XX from 2024 to 2031.

• The global Cancer Cachexia market will expand significantly by XX% CAGR between 2024 and 2031. • North America held a market of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • Asia Pacific held the major market of more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • Latin America's market will have more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • Middle East and Africa held the major market of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • According to Cognitive Market Research, Progestogens is the dominant therapeutic segment for the cancer cachexia market. • According to Cognitive Market Research, Appetite Stimulators is the dominant mechanism action segment for the cancer cachexia market.

MARKET DYNAMICS:

Key Drivers

Increase in the incidence of cancer fuels the demand for Cancer Cachexia Treatment

One of the key drivers behind the significant growth in cancer cachexia treatment is the rising prevalence of cancer globally. As cancer rates continue to increase, particularly in aging populations, the demand for effective cachexia management strategies grows accordingly. For instance. For instance, The International Agency Research on Cancer- Globocan 2020 report states that out of 19,292,789 new cancer cases recognized worldwide in 2020, 9,958,133 deaths were attributed to cancer. There will be 50,550,287 cancer cases worldwide in the next five years, according to forecasts. By 2040, 28,887,940 new cases of cancer are expected worldwide. (Source:https://www.uicc.org/news/globocan-2020-global-cancer-data) Furthermore, according to GLOBOCAN 2020, 495,773 pancreatic, 604,100 esophageal, 1,414,259 prostate, and 1,148,515 colon cancer cases were identified worldwide in 2020, accounting for 2,206771 new cancer cases. Cachexia is very common in patients with the cancer types listed above, so over the next few years, there will be a growing need for cancer cachexia treatment. Thus, the increase in cancer incidence surges demand for advanced therapeutics drugs, which drives the growth of cancer cachexia market.

Key Restrain

The stringent government policies and high cost associated with the treatment hampers Cancer Cachexia market growth

The stringent government policies and the high costs associated with the treatment presents a significant barrier to the growth of the market. Since terminally sick cancer patients are more likely to experience cancer cachexia, yet medications used to treat this disorder typically have to closely follow the same guidelines as other cancer medications. Many countries have lengthy approval processes for pharmaceuticals, particularly those connected to cancer, due to strict regulatory standards. The amount of time needed for countries to approve cancer medications following their current national regulatory criteria varies greatly. For instance, The CHMP in Europe has 210 days to provide its opinion. This is followed by a period of decision-making phase which may extend upto three months. As a result, patients typically acquire access to promising medications (such as those for cancer cachexia) at varying times. This significantly limits the majority of large corporations' capacity marketing ability. Many individuals miss out on potentially necessary treatment that might be utilized to improve their quality of life because cancer cachexia drugs are given to terminally ill patients due to delayed authorization in various nations (Source:https://extranet.who.int/prequal/sites/default/files/document_files/article_58_guidelines.pdf) In addition, the expense of treating cancer patients with cachexia is significantly higher than that of t...

In 2022, there were around 20 million new cases of cancer worldwide. It is predicted that this number will increase to around 35.3 million incident cases in the year 2050. This statistic shows the predicted number of new cancer cases worldwide from 2022 to 2050.

In 2022, Australia had the fourth-highest total number of skin cancer cases worldwide and the highest age-standardized rate, with roughly 37 cases of skin cancer per 100,000 population. The graph illustrates the rate of skin cancer in the countries with the highest skin cancer rates worldwide in 2022.

The Synthetic Colorectal Cancer Global Dataset is a fully anonymised, high-dimensional synthetic dataset designed for global cancer research, predictive modelling, and educational use. It encompasses demographic, clinical, lifestyle, genetic, and healthcare access factors relevant to colorectal cancer incidence, outcomes, and survivability.

Dataset Features

• Patient_ID: Unique identifier for each patient.
• Country: Patient's country of residence.
• Age: Age at diagnosis (in years).
• Gender: Biological sex of the patient (Male/Female/Other).
• Cancer_Stage: Stage of colorectal cancer at diagnosis (e.g., Stage I–IV).
• Tumor_Size_mm: Size of the tumor in millimeters.
• Family_History: Presence of colorectal cancer in family history (True/False).
• Smoking_History: Smoking behavior or history (e.g., Current, Former, Never).
• Alcohol_Consumption: Level of alcohol consumption (e.g., High, Moderate, None).
• Obesity_BMI: BMI classification related to obesity.
• Diet_Risk: Diet-related cancer risk (e.g., High Fat, Low Fiber).
• Physical_Activity: Level of physical activity (e.g., Sedentary, Active).
• Diabetes: Diabetes diagnosis (True/False).
• Inflammatory_Bowel_Disease: Presence of IBD (True/False).
• Genetic_Mutation: Genetic mutations relevant to colorectal cancer (e.g., APC, KRAS).
• Screening_History: History of cancer screenings (True/False).
• Early_Detection: Whether cancer was detected early (True/False).
• Treatment_Type: Primary treatment type (e.g., Surgery, Chemotherapy, Radiation).
• Survival_5_years: 5-year survival status (True/False).
• Mortality: Mortality outcome (Alive/Deceased).
• Healthcare_Costs: Estimated treatment costs (in USD).
• Incidence_Rate_per_100K: Country-level incidence rate per 100,000 people.
• Mortality_Rate_per_100K: Country-level mortality rate per 100,000 people.
• Urban_or_Rural: Patient's living area (Urban/Rural).
• Economic_Classification: Country's economic level (e.g., Low, Middle, High income).
• Healthcare_Access: Access level to healthcare services (e.g., Good, Limited).
• Insurance_Status: Insurance coverage status (Insured/Uninsured).
• Survival_Prediction: Model-derived survival prediction (probability or binary).

Distribution

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Usage

This dataset can be used for:

• Global Cancer Research: Analyze how clinical, lifestyle, and socioeconomic factors affect colorectal cancer outcomes worldwide.
• Predictive Modeling: Develop models to estimate survival probability or treatment outcomes.
• Healthcare Policy Analysis: Study disparities in healthcare access and outcomes across countries.
• Educational Use: Support training in epidemiology, oncology, public health, and machine learning.

Coverage

The dataset includes 100% synthetic yet clinically plausible records from diverse countries and demographic groups. It is anonymized and modeled to reflect real-world variability in risk factors, diagnosis stages, treatment, and survival without compromising patient privacy.

License

CC0 (Public Domain)

Who Can Use It

• Epidemiologists and Medical Researchers: To explore global patterns in colorectal cancer.
• Public Health Experts and Policymakers: For assessing equity in healthcare access and cancer outcomes.
• Data Scientists and Educators: As a rich dataset for teaching data analysis, classification, regression, and health informatics.

To investigate the global incidence of prostate cancer with special attention to the changing age structures. Data regarding the cancer incidence and population statistics were retrieved from the International Agency for Research on Cancer in World Health Organization. Eight developing and developed jurisdictions in Asia and the Western countries were selected for global comparison. Time series were constructed based on the cancer incidence rates from 1988 to 2007. The incidence rate of the population aged ≥ 65 was adjusted by the increasing proportion of elderly population, and was defined as the “aging-adjusted incidence rate”. Cancer incidence and population were then projected to 2030. The aging-adjusted incidence rates of prostate cancer in Asia (Hong Kong, Japan and China) and the developing Western countries (Costa Rica and Croatia) had increased progressively with time. In the developed Western countries (the United States, the United Kingdom and Sweden), we observed initial increases in the aging-adjusted incidence rates of prostate cancer, which then gradually plateaued and even decreased with time. Projections showed that the aging-adjusted incidence rates of prostate cancer in Asia and the developing Western countries were expected to increase in much larger extents than the developed Western countries.

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.

Annual percent change and average annual percent change in age-standardized cancer incidence rates since 1984 to the most recent diagnosis year. The table includes a selection of commonly diagnosed invasive cancers, as well as in situ bladder cancer. Cases are 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) from 1992 to the most recent data year and on the International Classification of Diseases, ninth revision (ICD-9) from 1984 to 1991.

This dataset contains cancer statistics for countries members of OECD (The Organization for Economic Co-operation and Development), for OECD key partners and countries in accession negotiations with OECD. The estimated values for the two types of indicators, cancer frequency and cancer incidence, cover the years 1998, 2000, 2002, 2008 and 2012.

What are Cancer Statistics in US States?

The circled group of good survivors has genetic indicators of poor survivors (i.e. low ESR1 levels, which is typically the prognostic indicator of poor outcomes in breast cancer) – understanding this group could be critical for helping improve mortality rates for this disease. Why this group survived was quickly analysed by using the Outcome Column (here Event Death - which is binary - 0,1) as a Data Lens (which we term Supervised vs Unsupervised analyses).

How to use this dataset

• A network was built using only gene expression with 272 breast cancer patients (as rows), and 1570 columns.

• Metadata includes patient info, treatment, and survival.

• Each node is a group of patients similar to each other. Flares (left) represent sub-populations that are distinct from the larger population. (One differentiating factor between the two flares is estrogen expression (low = top flare, high = bottom flare)).

• A bottom flare is a group of patients with 100% survival. The top flare shows a range of survival – very poor towards the tip (red), and very good near the base (circled).

Acknowledgments

When we use this dataset in our research, we credit the authors as :

• License : CC BY 4.0.

• This data set is taken from https://query.data.world/s/yi422lv7mkhnydnt4ixrfujmoaglpk .

The main idea for uploading this dataset is to practice data analysis with my students, as I am working in college and want my student to train our studying ideas in a big dataset, It may be not up to date and I mention the collecting years, but it is a good resource of data to practice

Number and rate of new cancer cases by stage at diagnosis from 2011 to the most recent diagnosis year available. Included are colorectal, lung, breast, cervical and prostate 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.

cancer therapeutics and biotherapeutics Market Outlook

According to our latest research, the global cancer therapeutics and biotherapeutics market size stood at USD 195.8 billion in 2024, reflecting robust demand and innovation in oncology treatments. The market is projected to expand at a CAGR of 8.7% from 2025 to 2033, reaching an estimated USD 418.7 billion by 2033. This impressive growth is driven by the increasing incidence of cancer worldwide, rapid advancements in biotherapeutic modalities, and the ongoing introduction of novel, targeted therapies that enhance patient outcomes.

A key growth factor for the cancer therapeutics and biotherapeutics market is the rising global cancer burden. According to the World Health Organization, cancer remains one of the leading causes of morbidity and mortality worldwide, with over 20 million new cases and 10 million deaths in 2024. The aging population, lifestyle changes, environmental factors, and improved diagnostic capabilities are contributing to the escalating prevalence of various cancer types. This has led to a heightened demand for innovative and effective therapeutic solutions, spurring investments in research and development by both public and private entities. In particular, the emergence of precision medicine and personalized therapies has revolutionized cancer care, offering hope for improved survival rates and quality of life for patients.

Another significant driver is the rapid advancement and adoption of biotherapeutics, such as monoclonal antibodies, immune checkpoint inhibitors, and cell therapies. These modalities have demonstrated superior efficacy and safety profiles compared to traditional chemotherapies, leading to their widespread adoption in clinical practice. Pharmaceutical and biotechnology companies are increasingly focusing on the development of next-generation biotherapeutics, leveraging cutting-edge technologies like CRISPR, CAR-T, and bispecific antibodies. The expanding pipeline of innovative drugs, coupled with expedited regulatory approvals and favorable reimbursement policies in key markets, is accelerating the commercialization of novel cancer therapies and broadening patient access to life-saving treatments.

Furthermore, the integration of artificial intelligence, big data analytics, and digital health tools is transforming the landscape of cancer therapeutics and biotherapeutics. These technologies are enabling more accurate tumor profiling, better patient stratification, and optimized treatment regimens, ultimately leading to improved clinical outcomes. Collaborations between academic institutions, research organizations, and industry stakeholders are fostering a vibrant ecosystem for oncology innovation. Additionally, growing awareness among patients and healthcare providers about the benefits of targeted and immunotherapeutic approaches is driving uptake and supporting market expansion. The convergence of scientific breakthroughs, supportive policy frameworks, and patient-centric care models is expected to sustain the robust growth trajectory of the cancer therapeutics and biotherapeutics market over the forecast period.

Regionally, North America remains the dominant market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, benefits from a well-established healthcare infrastructure, strong R&D capabilities, and high healthcare expenditure. However, the Asia Pacific region is witnessing the fastest growth, fueled by rising cancer incidence, increasing healthcare investments, and expanding access to advanced therapies in countries like China, Japan, and India. Europe continues to play a pivotal role, driven by supportive regulatory environments and active participation in global oncology research initiatives. Latin America and the Middle East & Africa are gradually emerging as promising markets, supported by improving healthcare access and growing awareness about cancer therapies.

Product Type Analysis

The cancer therapeutics and biother

Blood cancer survival rates vary widely across the globe — and the contrast between India and developed nations is both eye-opening and urgent. While countries like the U.S., UK, and Germany report survival rates of 60–75% for common blood cancers such as leukaemia, lymphoma, and myeloma, India’s figures remain significantly lower, often ranging between 30 and 40%.This gap is driven by several critical factors: late diagnosis, limited access to advanced treatments, lack of awareness, and uneven healthcare infrastructure. Yet, with timely detection and modern therapies like CAR T-cell therapy and bone marrow transplant, these numbers can improve — and lives can be saved.At bmtnext.com, BMT NEXT is working to close this survival gap by offering world-class care, cutting-edge treatment options, and personalised support for every patient. Our mission is to ensure that patients in India receive the same level of care and hope as those in the most advanced healthcare systems.It’s time to bridge the divide — and BMT NEXT is leading the way.

BackgroundThe burden of breast cancer has been increasing globally. The epidemiology burden and trends need to be updated. This study aimed to update the burden and trends of breast cancer incidences, deaths, and disability-adjusted life-years (DALYs) from 1990 to 2019, using the Global Burden of Disease 2019 study.MethodsThe data of incidences, deaths, DALYs, and age-standardized rates were extracted. Estimated annual percentage changes were used to quantify the trends of age-standardized rates. Besides, the population attributable fractions of the risk factors of breast cancer were also estimated.ResultsGlobally, the incidences of breast cancer increased to 2,002,354 in 2019. High social-development index (SDI) quintiles had the highest incidence cases with a declining trend in age-standardized incidence rate. In 2019, the global deaths and DALYs of breast cancer increased to 700,660 and 20,625,313, respectively. From 1990 to 2019, the age-standardized mortality rates and age-standardized DALY rates declined globally, especially in high and high-middle SDI quintiles. Besides, the trends varied from different regions and countries. The proportion of the patients in the 70+ years age group increased globally. Deaths of breast cancer attributable to high fasting plasma glucose and high body mass index increased globally, and high fasting plasma glucose was the greatest contributor to the global breast cancer deaths.ConclusionThe burden of breast cancer in higher SDI quintiles had gone down while the burden was still on the rise in lower SDI quintiles. It is necessary to appeal to the public to decrease the exposure of the risk factors.

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)