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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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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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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Predictors of Graduate Student Success from an R25 Cancer Research Training in Unique Populations.

Amr S Soliman1, Li Zhang2, Robert M Chamberlain2

  • 1The City University of New York (CUNY) School of Medicine, New York, USA. asoliman@med.cuny.edu.

Journal of Cancer Education : the Official Journal of the American Association for Cancer Education
|December 15, 2025
PubMed
Summary
This summary is machine-generated.

Student success in cancer research programs is predicted by strong mentorship, persistence, and career focus. Rigorous evaluation and sustained support are key to increasing cancer researchers and improving training outcomes.

Keywords:
CancerGlobalPredictionResearch trainingStudentsU.S. populations

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Area of Science:

  • Public Health
  • Cancer Epidemiology
  • Medical Education

Background:

  • The Cancer Epidemiology Education in Special Populations (CEESP) Program supports public health graduate students in global and domestic research.
  • Student success is often measured by the production of first-authored publications.

Purpose of the Study:

  • To identify predictors of first-authored publication success for students in the CEESP Program.
  • To inform strategies for enhancing cancer research training programs.

Main Methods:

  • Analysis of data from 203 students over the first 17 years of the CEESP Program.
  • Statistical modeling to determine significant predictors of publication.

Main Results:

  • Key predictors of publication included favorable initial evaluations, leveraging prior research infrastructure, student persistence and resourcefulness, using CEESP data for theses, and pursuing cancer-related careers.
  • High odds ratios were observed for persistence (18.61) and resourcefulness (17.51).

Conclusions:

  • Rigorous student evaluation and continuous, tailored mentorship are crucial for research success.
  • Establishing robust training infrastructure and supporting post-program career development are vital for increasing cancer researchers.