Evidence map›Paper›PMID 39223980›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2024

Designing Rigorous and Efficient Clinical Utility Studies for Early Detection Biomarkers.

Yingye Zheng, Paul D Wagner, Amit G Singal, Samir M Hanash, Sudhir Srivastava, Ying Huang, Ying-Qi Zhao, Suresh T Chari, Guillermo Marquez, Ruth Etizioni and 2 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yingye ZhengBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-3078-4200
Paul D WagnerDivision of Cancer Prevention, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-4029-5064
Amit G SingalDivision of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-1172-3971
Samir M HanashDepartment of Clinical Cancer Prevention, McCombs Institute for Cancer Detection and Treatment at MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-4210-1593
Sudhir SrivastavaDivision of Cancer Prevention, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-7798-9772
Ying HuangBiostatstics, Bioinformatics and Epidemiology Program, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0002-9655-7502
Ying-Qi ZhaoBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-2851-2257
Suresh T ChariDepartment of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-3924-0971
Guillermo MarquezDivision of Cancer Prevention, National Cancer Institute, Rockville, Maryland.ORCID 0009-0007-5418-1328
Ruth EtizioniBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-9164-6370
Tracey L MarshBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-6865-5092
Ziding FengBiostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0003-3051-8882

Funding

The Early Detection Research Network: Data Management and Coordinating CenterU24CA086368 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RUTH D ETZIONI, Ziding Feng · 2010 to 2026
$75.7M
Clinical Validation Center for Early Detection of Pancreatic CancerU01CA200468 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIRBAN MAITRA · 2016 to 2026
$11.0M
Clinical Validation Center for Lung Cancer Early DetectionU01CA271888 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HANASH, SAMIR M · 2022 to 2025
$4.9M
Clinical Validation Center for Hepatocellular CarcinomaU01CA271887 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI FASIHA KANWAL, JORGE A MARRERO · 2022 to 2026
$4.7M
Precision Risk Stratification and Screening for HCC among Patients with Cirrhosis in the United StatesU01CA230694 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2022
$3.5M
Precompetitive Collaboration on Liquid Biopsy for Early Cancer Assessment: Data Management and Coordinating UnitU24CA288185 · NCI · FRED HUTCHINSON CANCER CENTER · PI Wei Sun, Yingye Zheng · 2023 to 2026
$3.1M
Development of Risk and Early Detection Biomarker for Small Cell Lung CancerU01CA213285 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HANASH, SAMIR M · 2017 to 2021
$2.6M
Precision Screening for Hepatocellular Carcinoma in Patients with CirrhosisR01CA222900 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2023
$2.4M
Incorporating Biomarkers to Improve Lung Cancer Risk PredictionU01CA194733 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FENG, ZIDING, HANASH, SAMIR M · 2016 to 2018
$2.0M
Statistical Methods for Prospective Evaluation of BiomarkersR01CA236558 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ZHENG, YINGYE · 2019 to 2024
$1.9M
The Texas-Louisiana Alliance to Study Chronic Pancreatitis, Diabetes and Pancreatic CancerU01DK126365 · NIDDK · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHARI, SURESH T., MAITRA, ANIRBAN · 2020 to 2024
$1.9M
Accelerating biomarker development through novel statistical methods for analyzing phase III/IV studiesR01CA277133 · NCI · FRED HUTCHINSON CANCER CENTER · PI Ying Huang · 2023 to 2026
$1.6M
NCI NIH HHS R01 CA222900NCI NIH HHS R01 CA236558NCI NIH HHS R01 CA277133NCI NIH HHS U01 CA194733NCI NIH HHS U01 CA200468NCI NIH HHS U01 CA213285NCI NIH HHS U01 CA230694NCI NIH HHS U01 CA271887NCI NIH HHS U01 CA271888NCI NIH HHS U24 CA086368NCI NIH HHS U24 CA288185NIDDK NIH HHS U01 DK126365
6 · The paper itself

Abstract

Before implementing a biomarker in routine clinical care, it must demonstrate clinical utility by leading to clinical actions that positively affect patient-relevant outcomes. Randomly controlled early detection utility trials, especially those targeting mortality endpoint, are challenging due to their high costs and prolonged duration. Special design considerations are required to determine the clinical utility of early detection assays. This commentary reports on discussions among the National Cancer Institute's Early Detection Research Network investigators, outlining the recommended process for carrying out single-organ biomarker-driven clinical utility studies. We present the early detection utility studies in the context of phased biomarker development. We describe aspects of the studies related to the features of biomarker tests, the clinical context of endpoints, the performance criteria for later phase evaluation, and study size. We discuss novel adaptive design approaches for improving the efficiency and practicality of clinical utility trials. We recommend using multiple strategies, including adopting real-world evidence, emulated trials, and mathematical modeling to circumvent the challenges in conducting early detection utility trials.

Indexed as

Biomarkers, TumorEarly Detection of CancerNeoplasmsResearch DesignHumansBiomarkers, Tumor

Identifiers

PMID39223980
PMCPMC11534000

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.