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  1. Home
  3. Hpv-adjusted Feature Screening With Fdr Control In Head And Neck Cancer.
  1. Home
  3. Hpv-adjusted Feature Screening With Fdr Control In Head And Neck Cancer.

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Related Experiment Video

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis
06:57

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis

Published on: June 14, 2019

HPV-Adjusted Feature Screening With FDR Control in Head and Neck Cancer.

Atika Farzana Urmi1, Chenlu Ke2, Dipankar Bandyopadhyay1

  • 1Department of Biostatistics, School of Public Health, Virginia Commonwealth University, Richmond, Virginia, USA.

Biometrical Journal. Biometrische Zeitschrift
|May 23, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a new method to identify genes predicting head and neck cancer survival, accounting for human papillomavirus (HPV) status. This approach improves accuracy by considering HPV

Keywords:
FDR controlHNSCCconditional screeninghigh‐dimensionalsurvival

More Related Videos

RNAscope for In situ Detection of Transcriptionally Active Human Papillomavirus in Head and Neck Squamous Cell Carcinoma
10:26

RNAscope for In situ Detection of Transcriptionally Active Human Papillomavirus in Head and Neck Squamous Cell Carcinoma

Published on: March 11, 2014

Related Experiment Videos

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis
06:57

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis

Published on: June 14, 2019

RNAscope for In situ Detection of Transcriptionally Active Human Papillomavirus in Head and Neck Squamous Cell Carcinoma
10:26

RNAscope for In situ Detection of Transcriptionally Active Human Papillomavirus in Head and Neck Squamous Cell Carcinoma

Published on: March 11, 2014

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Human papillomavirus (HPV) significantly impacts head and neck (HN) cancer prognosis, with HPV-positive cases showing better survival.
  • Current gene screening methods often ignore HPV status, potentially missing crucial prognostic markers and limiting clinical utility.
  • Oversight of HPV status in genomic analyses can confound gene effects, hindering biological interpretation of survival markers.

Purpose of the Study:

  • To develop a novel conditional screening method for ultrahigh-dimensional survival data that adjusts for HPV status in HN cancer.
  • To identify prognostic genes with independent survival associations while capturing HPV-specific interactions and synergistic effects.
  • To enhance the biological interpretability and clinical utility of molecular markers for HN cancer survival.

Main Methods:

  • A two-stage, model-free framework combining nonparametric statistics for initial screening.
  • A unified false discovery rate (FDR) control procedure for refined feature selection.
  • Application to The Cancer Genome Atlas (TCGA) HN cancer data.

Main Results:

  • The proposed conditional screening method demonstrates advantages over existing alternatives in simulation studies.
  • Analysis of TCGA HN cancer data identified a set of robust prognostic genes.
  • New insights into molecular pathways influencing survival across different HPV subgroups were uncovered.

Conclusions:

  • The conditional screening framework effectively identifies prognostic genes independent of HPV status.
  • The method captures crucial HPV-specific interactions, improving survival prediction in HN cancer.
  • This approach offers enhanced biological insights and potential clinical utility for precision oncology.