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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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Related Experiment Video

Updated: May 28, 2025

RNAscope for In situ Detection of Transcriptionally Active Human Papillomavirus in Head and Neck Squamous Cell Carcinoma
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Prevalence of HPV Positivity and the Correlation Between P16INK4A Expression and HPV DNA Positivity in Carcinoma

Amitha Sherief P1, Lekha Madhavan Nair2, Rejnish Ravikumar2

  • 1Medical Oncology, Regional Cancer Centre, Thiruvananthapuram, IND.

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|February 10, 2025
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Summary
This summary is machine-generated.

This study found that while p16 and human papillomavirus (HPV) DNA positivity were not significantly correlated, patients with both markers (double-positive) showed improved survival outcomes in oropharyngeal squamous cell carcinoma (OPSCC). This suggests a potential for de-escalation strategies in this specific patient group.

Keywords:
carcinoma oropharynxhpv dnahuman papillomavirusp16 ihcsurvival

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Area of Science:

  • Oncology
  • Virology
  • Pathology

Background:

  • Oropharyngeal squamous cell carcinoma (OPSCC) incidence is rising globally.
  • High-risk human papillomavirus (HPV) is a recognized risk factor for OPSCC.
  • Data on HPV-related OPSCC prevalence and outcomes in India is limited.

Purpose of the Study:

  • To determine the frequency of HPV infection in Indian OPSCC patients.
  • To investigate the relationship between HPV positivity, p16 expression, and patient outcomes.
  • To analyze treatment response and survival rates based on HPV and p16 status.

Main Methods:

  • Retrospective analysis of 100 OPSCC tissue samples from Kerala, India (2010-2012).
  • Immunohistochemistry (IHC) for p16INK4A expression.
  • Polymerase chain reaction (PCR) for HPV DNA detection.
  • Kaplan-Meier and Cox regression analyses for survival and recurrence.

Main Results:

  • p16 positivity was 49.47%, HPV DNA positivity was 30.37%, and double positivity (p16 and HPV) was 15.18%.
  • No significant correlation was found between p16 expression and HPV status.
  • Double-positive cases showed improved overall survival (OS) and disease-free survival (DFS) compared to double-negative or single-positive cases.

Conclusions:

  • HPV and p16 expression are prevalent in Indian OPSCC, but not significantly correlated.
  • Double positivity (p16 and HPV positive) is associated with better survival outcomes.
  • This subgroup may benefit from de-escalation strategies and warrants further research.