Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cancer Survival Analysis

Cancer Survival Analysis

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026

Same author

Evaluation of Alternative Smoking Duration Criteria for Lung Cancer Screening.

JAMA internal medicine·2026

Same author

Increasing power and robustness in screening trials by testing stored specimens in the control arm.

BMC medical research methodology·2026

Same author

Circulating Tumor DNA Testing in Solid Tumors and Lymphoma: ASCO Guideline.

JCO oncology practice·2026

Same author

Brief Report: Improving Lung Cancer Screening Rates: A Pilot Program for Low-Dose CT Implementation in a Community Cancer Center.

Clinical lung cancer·2026

Same author

Subsequent risk of lung cancer in patients with positive low-dose CT screens and initial negative lung biopsy.

Lung cancer (Amsterdam, Netherlands)·2026

Search research articles

Related Experiment Video

Updated: May 12, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Performance of multiple multi-cancer detection tests using a large independent reference set (Alliance A212102).

Marie Wood¹, Paul F Pinsky², Paul Novotny³

¹Department of Medicine, University of Colorado Cancer Center, Aurora, CO, United States.

Journal of the National Cancer Institute

|January 7, 2026

Summary

This summary is machine-generated.

Performance of multi-cancer detection (MCD) assays varied, with significantly lower sensitivity for early-stage cancers compared to late-stage. Tissue-of-origin accuracy was 75%.

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Related Experiment Videos

Last Updated: May 12, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Area of Science:

Oncology
Biotechnology
Medical Diagnostics

Background:

Evaluating multi-cancer detection (MCD) assays requires robust reference sets.
The National Cancer Institute (NCI) initiated the Alliance reference set study to assess MCDs for clinical trial applicability.

Purpose of the Study:

To evaluate the performance of multiple MCD assays using a standardized reference set.
To assess sensitivity, specificity, and tissue-of-origin prediction accuracy of MCD assays.

Main Methods:

Recruited individuals with cancer and controls, collecting blood pre-treatment.
Designed a performance evaluation study using reference set samples from 6 participating companies.
Assayed samples for targeted, non-targeted, and control cancer types, reporting calls, risk scores, and tissue-of-origin predictions.

Main Results:

Included 549 cancer cases (13 types) and 413 controls.
Median specificity was 92.3%.
Median sensitivity was 32% (early stage) and 73% (late stage) by positive/negative calls (SEPN); 19% (early) and 66% (late) at 98% specificity (SE98). Median tissue-of-origin accuracy was 75%.

Conclusions:

Assay sensitivity and specificity showed considerable variation.
Early-stage cancer detection sensitivity was substantially lower than late-stage detection.
Tissue-of-origin prediction accuracy requires further improvement.