NCI Data Jamboree (Project Abstract Submission): Submission #64

Presenter Information
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First Name: Jennifer
Middle Initial: M
Last Name: Torres Del Valle
Degree(s): PhD, MPH, MA
Position/Title/Career Status: Postdoctoral NIH Scholar in Clinical and Translational Research
Organization: Postdoctoral Master of Science in Clinical and Translational Research Program, University of Puerto Rico Medical Sciences Campus, San Juan, Puerto Rico
Organization Address:
San Juan, Puerto Rico

Email: jennifer.torres@upr.edu

Additional Authors
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List of Additional Authors:
- First Name: Claudia
  Last Name: Amaya Ardila
  Post-nominal letters: EdD, MPH, MS
  Affiliation: Department of Biostatistics and Epidemiology, Graduate School of Public Health; and Master of Science in Clinical and Translational Research Program, University of Puerto Rico Medical Sciences Campus, San Juan, Puerto Rico
- First Name: Souhail
  Last Name: Malave Rivera
  Post-nominal letters: PhD, MSc
  Affiliation: Department of Social Sciences, Graduate School of Public Health; and Master of Science in Clinical and Translational Research Program, University of Puerto Rico Medical Sciences Campus, San Juan, Puerto Rico
- First Name: Maritere
  Last Name: Meléndez Rosario
  Post-nominal letters: DPT, MPH, MS
  Affiliation: Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, San Juan, Puerto Rico
- First Name: Andrea 
  Last Name: AngaritaValderrama
  Post-nominal letters: MPH
  Affiliation: Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, San Juan, Puerto Rico


Abstract Information
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Abstract Category: Evaluating data quality for reproducibility and AI-readiness
Abstract Keywords: HPV-associated cancers, adolescents and young adults, conditional relative survival, cancer survivorship, SEER Research Plus
Abstract Title: Survival After HPV-Associated Cancer in Adolescents and Young Adults: Changes With Time Since Diagnosis
Abstract:
Background: Adolescents and young adults (AYAs) have distinct cancer survivorship needs. Estimates measured from diagnosis do not reveal whether survival differences across human papillomavirus (HPV)-associated cancer sites persist as patients survive additional years. These patterns could inform survivorship research, risk communication, and care planning.

Objective: To determine whether differences in five-year conditional relative survival across HPV-associated cancer sites and stages persist, narrow, or widen after patients survive one, three, and five years.

Approach: The team will conduct a population-based retrospective cohort study using SEER Research Plus Data, 21 Registries. The cohort will include patients aged 15–39 years with a first primary invasive, registry-defined HPV-associated cancer diagnosed during 2000–2013 and followed through December 31, 2023. Established SEER site and histology classifications will define cervical carcinoma, noncervical anogenital squamous cell carcinoma, and oropharyngeal squamous cell carcinoma. Follow-up will extend from diagnosis to death, last contact, or study closure. SEER*Stat will estimate five- and ten-year relative survival and five-year conditional relative survival at diagnosis and among patients surviving one, three, and five years. Absolute differences and relative contrasts will be evaluated across cancer-site groups, harmonized SEER Summary Stage, diagnostic periods, and survival landmarks. Using institutional computing resources, R will support data management and observed-survival analyses with Kaplan–Meier curves, log-rank tests, and multivariable Cox models adjusted for site, stage, age, sex, and diagnostic period. Diagnostics and sensitivity analyses will address proportional hazards, unknown stage, data completeness, and unstable estimates.

Before the Jamboree, the team will finalize cohort specifications, confirm data access and variables, and assess cell sizes and events. During the Jamboree, the team will implement a reproducible workflow, generate preliminary estimates and visualizations, evaluate limitations, and produce reusable cohort specifications and analysis code. A multidisciplinary team with expertise in epidemiology, biostatistics, HPV-related cancer prevention, and clinical and translational research has been assembled.