Epidemiologic Research of Rare Cancers: Trends, Resources, and Challenges.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
07 2021
Historique:
received: 19 12 2020
revised: 15 02 2021
accepted: 10 03 2021
pubmed: 3 4 2021
medline: 22 2 2022
entrez: 2 4 2021
Statut: ppublish

Résumé

The goals of this project were to assess the status of NCI's rare cancer-focused population science research managed by the Division of Cancer Control and Population Sciences (DCCPS), to develop a framework for evaluation of rare cancer research activities, and to review available resources to study rare cancers. Cancer types with an overall age-adjusted incidence rate of less than 20 cases per 100,000 individuals were identified using NCI Surveillance, Epidemiology and End Results (SEER) Program data. SEER data were utilized to develop a framework based on statistical commonalities. A portfolio analysis of DCCPS-supported active grants and a review of three genomic databases were conducted. For the 45 rare cancer types included in the analysis, 123 active DCCPS-supported rare cancer-focused grants were identified, of which the highest percentage (18.7%) focused on ovarian cancer. The developed framework revealed five clusters of rare cancer types. The cluster with the highest number of grants ( This article provides an overview of the rare cancer-focused population sciences research landscape as well as information on gaps and opportunities. The findings of this article can be used to develop efficient and comprehensive strategies to accelerate rare cancer research.

Sections du résumé

BACKGROUND
The goals of this project were to assess the status of NCI's rare cancer-focused population science research managed by the Division of Cancer Control and Population Sciences (DCCPS), to develop a framework for evaluation of rare cancer research activities, and to review available resources to study rare cancers.
METHODS
Cancer types with an overall age-adjusted incidence rate of less than 20 cases per 100,000 individuals were identified using NCI Surveillance, Epidemiology and End Results (SEER) Program data. SEER data were utilized to develop a framework based on statistical commonalities. A portfolio analysis of DCCPS-supported active grants and a review of three genomic databases were conducted.
RESULTS
For the 45 rare cancer types included in the analysis, 123 active DCCPS-supported rare cancer-focused grants were identified, of which the highest percentage (18.7%) focused on ovarian cancer. The developed framework revealed five clusters of rare cancer types. The cluster with the highest number of grants (
CONCLUSIONS
This article provides an overview of the rare cancer-focused population sciences research landscape as well as information on gaps and opportunities.
IMPACT
The findings of this article can be used to develop efficient and comprehensive strategies to accelerate rare cancer research.

Identifiants

pubmed: 33795213
pii: 1055-9965.EPI-20-1796
doi: 10.1158/1055-9965.EPI-20-1796
pmc: PMC8254778
mid: NIHMS1685500
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1305-1311

Subventions

Organisme : Intramural NIH HHS
ID : Z99 CA999999
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

©2021 American Association for Cancer Research.

Références

Public Health Rep. 2010 Jan-Feb;125(1):28-43
pubmed: 20402194
CA Cancer J Clin. 2017 Jul 8;67(4):261-272
pubmed: 28542893

Auteurs

Lisa Gallicchio (L)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland. lisa.gallicchio@nih.gov.

Danielle L Daee (DL)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Melissa Rotunno (M)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Rolando Barajas (R)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Sarah Fagan (S)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Danielle M Carrick (DM)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Rao L Divi (RL)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Kelly K Filipski (KK)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Andrew N Freedman (AN)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Elizabeth M Gillanders (EM)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Tram K Lam (TK)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Damali N Martin (DN)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Scott Rogers (S)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Mukesh Verma (M)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Stefanie A Nelson (SA)

Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH