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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

343
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.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
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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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Targeted Cancer Therapies02:57

Targeted Cancer Therapies

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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
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Kaplan-Meier Approach01:24

Kaplan-Meier Approach

132
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,...
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  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Survivorship In Advanced Lung Cancer: Understanding A New Landscape And Opportunities.
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Survivorship In Advanced Lung Cancer: Understanding A New Landscape And Opportunities.

Related Experiment Video

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
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Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer

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Survivorship in Advanced Lung Cancer: Understanding a New Landscape and Opportunities.

Carolyn J Presley1, Nicole Dalal2, Ashley P Davenport1

  • 1Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH.

American Society of Clinical Oncology Educational Book. American Society of Clinical Oncology. Annual Meeting
|May 20, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Advanced lung cancer patients need better survivorship and palliative care. Novel treatments improve survival but gaps exist in symptom management, support, and care coordination for these patients.

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Area of Science:

  • Oncology
  • Palliative Care
  • Survivorship

Background:

  • Patients with advanced lung cancer face unique challenges and understudied needs.
  • Despite advances in novel treatments like tyrosine kinase inhibitors and immune checkpoint inhibitors, significant gaps persist in comprehensive care.
  • These gaps include symptom management, psychosocial and nutritional support, care coordination, and health behavior coaching.

Purpose of the Study:

  • To review the current palliative and survivorship care infrastructure for advanced lung cancer patients.
  • To identify and suggest improvements across the care continuum for this population.

Main Methods:

  • Review of current palliative and survivorship care models.
  • Analysis of existing care gaps and needs.

Main Results:

  • Advanced lung cancer patients require integrated survivorship and palliative care approaches.
  • Survivorship care should encompass health maintenance, managing treatment side effects, frailty assessment, and rehabilitation.
  • Palliative care is crucial for symptom management, advanced care planning, end-of-life discussions, and psychosocial support.

Conclusions:

  • There is a critical need to enhance palliative and survivorship care for advanced lung cancer patients.
  • Implementing comprehensive care strategies can improve the quality of life and outcomes for this patient group.
  • Further development of care infrastructure is essential to address the multifaceted needs of patients with advanced lung cancer and their families.