Evidence map›Paper›PMID 41136924›Full record

Trial reportBMC cancer2025

The MyCancerGene study: a hybrid type 1 effectiveness-implementation randomized study comparing a patient-centered digital genetic health portal to usual care after receipt of cancer genetic testing.

Daniel Chavez-Yenter, Dominique Fetzer, Brian Egleston, Susan Domchek, Linda Fleisher, Lynne I Wagner, Kuang-Yi Wen, Kelsey Karpink, Lauren Gutstein, Shelby Posen and 13 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04774445 (Effectiveness of MyCancerGene to Optimize Genetic Testing Outcomes), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT04774445 naactive not recruitingnot on this map

Effectiveness of MyCancerGene to Optimize Genetic Testing Outcomes

TypeinterventionalSponsorAbramson Cancer Center at Penn MedicineRan2021 to 2026Enrolled400ConditionsCancer, Genetic PredispositionArmsMyCancerGene
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

23 authors.

Daniel Chavez-YenterAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Dominique FetzerAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Brian EglestonFox Chase Cancer Center, Temple University, Philadelphia, PA, USA.
Susan DomchekAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Linda FleisherFox Chase Cancer Center, Temple University, Philadelphia, PA, USA.
Lynne I WagnerGillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC, USA.
Kuang-Yi WenThomas Jefferson University, Philadelphia, PA, USA.
Kelsey KarpinkAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Lauren GutsteinAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Shelby PosenAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Enida SelmaniAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Briana McLeodAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Arravinth AnantharajahAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Sarah BrownAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Cara CacioppoAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Jacqueline CappadociaAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Jessica E EbrahimzadehAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Dana FalconeAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Sarah HoweAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Claire LangerAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Beth McCarthy-WoodAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Michelle WeinbergAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA.
Angela R BradburyAbramson Cancer Center, Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA. angela.bradbury@pennmedicine.upenn.edu.

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Eric Andrew Ross · 1985 to 2026
$138.8M
American Cancer Society RSG-18-192-CPHPSNCI NIH HHS P30 CA006927
6 · The paper itself

Abstract

backgroundGenetic testing has become more complex with the transition from single gene testing to multi-gene panels and whole-exome sequencing. The adoption of more complex genetic testing and the promise of precision medicine has created a critical and urgent need for longitudinal clinical follow-up with patients who undergo cancer genetic testing given the residual uncertainty. There is an increasing need for multidisciplinary translational research that focuses on how to advance precision medicine discoveries into clinical practice and to capitalize on connectivity (e.g. digital health) interventions in ways that optimize cancer risk reducing behaviors in real-world clinical populations.

methodsThe overall goal of this Hybrid Type 1 effectiveness-implementation randomized study is to evaluate the effectiveness of the MyCancerGene intervention to improve longitudinal (short-term and long-term) understanding (e.g. knowledge) and reactions to (e.g. anxiety) clinical genetic testing compared to usual care. We hypothesize that access to MyCancerGene will be associated with short-term and post-disclosure increases in knowledge, decreases in distress, increases in communication with relatives and health care providers and performance of risk reducing health behaviors compared to usual care. Equally important, we hypothesize that our implementation process evaluation will inform recommendations for future adaptation and sustainability for other precision medicine applications. DISCUSSION: Given the increasing complexity of genetic testing applications (e.g. multi-gene testing, whole exome sequencing) and the need for post-disclosure follow-up, we expect this study to inform evidence-based practice guidelines for delivery of genetic medicine and potentially change the paradigm to include longitudinal care in precision medicine. To address the clinically significant gap in the delivery of genetic medicine, patient and provider stakeholder input have been used to develop a patient and provider informed centered genetic digital health portal to enhance patient understanding of, and affective and behavioral responses to genetic testing, particularly in the era of evolving evidence and risk information.

trial registrationThis protocol was registered at clinicaltrials.gov (NCT04774445) in February 18, 2021.

Indexed as

Genetic TestingNeoplasmsPatient PortalsDigital HealthFemaleHumansPatient-Centered CarePrecision MedicineReturn of Individual Research ResultsMulti-gene panel testing; digital health portals; hereditary cancer; cancer; genetic medicine; precision medicine

Identifiers

PMID41136924
PMCPMC12553178

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.