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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

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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...
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Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

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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.
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Treatment Resistant Cancers02:56

Treatment Resistant Cancers

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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...
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Cancer Therapies02:49

Cancer Therapies

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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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Cancer Therapies02:49

Cancer Therapies

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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Related Experiment Video

Updated: Mar 22, 2026

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

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Cachexia among US cancer patients.

Susan T Arthur1, Bryce A Van Doren1, Debosree Roy1

  • 1a University of North Carolina at Charlotte , Charlotte , NC , USA.

Journal of Medical Economics
|April 22, 2016
PubMed
Summary
This summary is machine-generated.

Cancer cachexia significantly increases hospitalization costs and length of stay. This debilitating condition also elevates the risk of inpatient death for cancer patients, highlighting the need for effective treatment plans.

Keywords:
Anorexia-cachexia syndromeEsophageal cancerHospitalization staysInpatient costLung cancerNationwide inpatient samplePancreatic cancerSkeletal muscleStomach cancerWasting syndrome

Related Experiment Videos

Last Updated: Mar 22, 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

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Area of Science:

  • Oncology
  • Health Economics
  • Patient Outcomes

Background:

  • Cancer cachexia is a severe condition linked to poor prognosis.
  • It significantly impacts patient well-being and healthcare resource utilization.

Purpose of the Study:

  • To evaluate the hospitalization incidence of cancer cachexia in the US.
  • To identify patient characteristics, medical costs, and the overall burden of cancer cachexia.

Main Methods:

  • Cross-sectional analysis of the Nationwide Inpatient Sample (NIS) data from 2009.
  • Assessment of five cancer types with the highest cachexia incidence.
  • Comparison of hospitalization costs, length of stay, and patient outcomes between cachectic and non-cachectic individuals.

Main Results:

  • Cachexia presence increased inpatient death risk in lung cancer and overall cancer populations.
  • Hospitalization length of stay was extended for patients with cachexia across multiple cancer types.
  • Inpatient costs were significantly higher for cachectic patients compared to non-cachectic patients, particularly in lung cancer.

Conclusions:

  • Cancer cachexia substantially elevates hospitalization costs and duration of stay.
  • Recognizing and coding cancer cachexia is crucial for developing effective treatment strategies.
  • Further research can inform an international consensus on managing this condition.