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Related Concept Videos

Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
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...
Mechanisms of Retrovirus-induced Cancers01:51

Mechanisms of Retrovirus-induced Cancers

Retroviruses are RNA viruses that have been shown to cause cancers in diverse species, including chickens, mice, cats, and monkeys. The RNA genomes of these viruses are first reverse-transcribed into single and then double-stranded DNA (dsDNA) copies. This dsDNA called proviral DNA then integrates into the host genome. Subsequently, the host cell transcribes the proviral DNA in concert with the chromosomal DNA. This leads to the production of viral RNA and proteins that assemble at the host...
Mechanisms of Retrovirus-induced Cancers01:51

Mechanisms of Retrovirus-induced Cancers

Retroviruses are RNA viruses that have been shown to cause cancers in diverse species, including chickens, mice, cats, and monkeys. The RNA genomes of these viruses are first reverse-transcribed into single and then double-stranded DNA (dsDNA) copies. This dsDNA called proviral DNA then integrates into the host genome. Subsequently, the host cell transcribes the proviral DNA in concert with the chromosomal DNA. This leads to the production of viral RNA and proteins that assemble at the host...
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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Related Experiment Video

Updated: May 31, 2026

The Colon-26 Carcinoma Tumor-bearing Mouse as a Model for the Study of Cancer Cachexia
08:55

The Colon-26 Carcinoma Tumor-bearing Mouse as a Model for the Study of Cancer Cachexia

Published on: November 30, 2016

Cancer cachexia: mechanisms and clinical implications.

Claire L Donohoe1, Aoife M Ryan, John V Reynolds

  • 1Department of Surgery, Trinity Centre for Health Sciences, Trinity College Dublin, St James' Hospital, Dublin 8, Ireland.

Gastroenterology Research and Practice
|July 16, 2011
PubMed
Summary

Cachexia, a complex condition causing muscle and fat loss in cancer patients, involves tumor signals, inflammation, and metabolic changes. Further research into tumor-host interactions is crucial for developing effective treatments.

Related Experiment Videos

Last Updated: May 31, 2026

The Colon-26 Carcinoma Tumor-bearing Mouse as a Model for the Study of Cancer Cachexia
08:55

The Colon-26 Carcinoma Tumor-bearing Mouse as a Model for the Study of Cancer Cachexia

Published on: November 30, 2016

Area of Science:

  • Oncology
  • Metabolic Medicine
  • Physiology

Background:

  • Cachexia is a severe condition characterized by skeletal muscle and adipose tissue atrophy, leading to progressive weight loss.
  • It significantly impacts cancer patient quality of life, physical function, and prognosis.
  • The underlying mechanisms involve tumor-derived signals, systemic inflammation, and altered host metabolism.

Purpose of the Study:

  • To elucidate the complex interplay between tumor and host factors in cachexia development.
  • To clarify the relationship between cachexia and anorexia.
  • To address inconsistencies in cachexia definition and facilitate therapeutic agent development.

Main Methods:

  • Review of existing literature on cachexia pathways.
  • Analysis of procachectic and proinflammatory signaling.
  • Examination of metabolic alterations including energy expenditure and nutrient metabolism.

Main Results:

  • Cachexia involves multiple interconnected pathways driven by tumor cells and host responses.
  • Metabolic changes include increased resting energy expenditure and dysregulated protein, fat, and carbohydrate metabolism.
  • The precise drivers (tumor vs. host) and the cachexia-anorexia relationship require further investigation.

Conclusions:

  • Understanding the intricate tumor-host interactions is key to identifying novel therapeutic targets for cachexia.
  • Standardizing cachexia definitions is essential for epidemiological studies and clinical trials.
  • Progress in therapeutic strategies has been hampered by the complexity of the condition and definitional inconsistencies.