Related Experiment Video
Updated: Jul 3, 2026
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Defining cancer survivorship.
1Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. mfeuerstein@usuhs.edu
Journal of Cancer Survivorship : Research and Practice
|July 24, 2008
Summary
This review examines cancer survivorship definitions. The new journal will adopt an evolving definition for cancer survivors, focusing on adults post-treatment through end of life.
Area of Science:
- Oncology
- Public Health
- Health Services Research
Background:
- Defining cancer survivorship is crucial for research and patient care.
- Existing definitions vary, necessitating a standardized approach.
- The field of cancer survivorship is rapidly evolving.
Purpose of the Study:
- To review major definitions of cancer survivorship.
- To establish a working definition for the Journal of Cancer Survivorship: Research and Practice.
- To guide future research, discourse, and policy in cancer survivorship.
Main Methods:
- Literature review of existing cancer survivorship definitions.
- Analysis of key elements across multiple definitions.
- Synthesis of definitions to inform a new, evolving standard.
Main Results:
- Identified key components common to major cancer survivorship definitions.
- Proposed a definition for cancer survivors that incorporates these elements.
- Acknowledged the need for the definition to adapt with new knowledge.
Conclusions:
- A comprehensive definition of cancer survivorship is essential for advancing the field.
- The proposed definition provides a foundation for the Journal of Cancer Survivorship.
- Continued research and discourse will refine the understanding and definition of cancer survivorship.
Related Concept Videos
01:21Cancer 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...
02:40Cancer Stem Cells and Tumor Maintenance
Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
02:40Cancer Stem Cells and Tumor Maintenance
Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
01:15Assumptions of Survival Analysis
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
02:56Treatment 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...
01:18Introduction To Survival Analysis
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
The primary goal of survival analysis is to estimate survival time—the time until a...