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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Cancer02:18

Cancer

Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
Treatment Resistent Cancers02:56

Treatment Resistent Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
Treatment Resistant Cancers02:56

Treatment Resistant Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
Cancer Therapies02:49

Cancer Therapies

Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...

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Optimization of Breast Biopsy and Mastectomy Sample Collection Procedures for Biobanking, Personalized Medicine, and Research Applications
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Cancer survival in Barshi, India, 1993-2000.

K Jayant1, B M Nene, K A Dinshaw

  • 1Barshi Cancer Registry, Nargis Dutt Memorial Cancer Hospital, Maharashtra, India.

IARC Scientific Publications
|June 17, 2011
PubMed
Summary

This study reports survival data from India's first rural cancer registry. Survival rates varied significantly by cancer type, with notable decreases for several cancers and increases for breast and non-Hodgkin lymphoma.

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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Published on: September 27, 2024

Area of Science:

  • Oncology
  • Epidemiology
  • Public Health

Background:

  • Established in 1987, the rural cancer registry in Barshi, Paranda, and Bhum is India's first.
  • This registry utilizes active methods for case registration and follow-up.

Purpose of the Study:

  • To analyze survival data for 15 cancer types registered between 1993 and 2000.
  • To evaluate trends in cancer survival rates over time.

Main Methods:

  • Active case finding and predominantly active follow-up methods were employed.
  • Survival analysis included 98-100% of registered cases, with high rates of histological verification (73-98%).
  • Five-year age-standardized relative survival rates were calculated for selected cancers.

Main Results:

  • Five-year relative survival rates varied widely: non-melanoma skin (86%), penis (63%), breast (61%), cervix (32%), mouth (23%), hypopharynx (11%), and esophagus (4%).
  • Survival trends from 1988-1992 to 1993-2000 showed decreases for tongue, hypopharynx, stomach, rectum, larynx, lung, and penis cancers.
  • An increase in five-year relative survival was observed for breast cancer and non-Hodgkin lymphoma.

Conclusions:

  • Significant variations in cancer survival exist within the studied rural Indian population.
  • Trends indicate worsening survival for several common cancers, highlighting a need for improved interventions.
  • Positive survival trends for breast cancer and non-Hodgkin lymphoma warrant further investigation into contributing factors.