Evidence map›Paper›PMID 33022355›Full record

ReviewSeminars in cancer biology2022

Innovative trial design in precision oncology.

Apostolia M Tsimberidou, Peter Müller, Yuan Ji

Abstract readReview
In one paragraph

Review in Seminars in cancer biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 29% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  5. Ethical challenges for Health Technology Assessment (HTA) in the evolving evidence landscape.International journal of technology assessment in health care · 2024
    Review
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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

3 authors at 3 institutions in 1 country.

Apostolia M TsimberidouDepartment of Investigational Cancer Therapeutics, Phancise I Clinical Trials Program, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Boulevard, Unit 455, Houston, TX 77030, United States. Electronic address: atsimber@mdanderson.org.
Peter MüllerDepartment of Mathematics, The University of Texas at Austin, 1 University Station, C1200, Austin, TX 78712, United States. Electronic address: pmueller@math.utexas.edu.
Yuan JiDepartment of Public Health Sciences, 5841 S. Maryland Ave, MC2000, Chicago, IL 60637, United States. Electronic address: jiyuan@uchicago.edu.
Chicago Department of Public Health · USThe University of Texas at Austin · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Bayesian models for cancer prognosis by integrating diverse types of dataR01CA132897 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI JI, YUAN, MUELLER, PETER · 2008 to 2019
$2.1M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA132897
6 · The paper itself

Abstract

Genomic profiling technologies have enabled the development of targeted therapies designed to target specific biomarkers and molecular pathways involved in the pathophysiology of tumor initiation, metastasis, and drug resistance. In recent years, clinical trials with innovative design focus on the development of novel agents based on specific patient molecular alterations or other tumor characteristics and include patients with heterogenous tumor types. Precision oncology studies with innovative design associated with novel dose-finding approaches and data analysis focusing on subgroups of patients are characteristic of master protocols. Real-world data, patient-reported outcomes, and N-of-1 trials enhance the knowledge base of evidence to deliver personalized treatment to patients. Master protocols accelerate drug development by enabling simultaneous multiple sub-studies that match the patient's tumor molecular profile with experimental treatment arms. However, the increased flexibility of precision oncology trials is often associated with small subpopulations of patients, which may be underpowered to draw statistically robust conclusions. Despite their limitations, innovative clinical trials continue to rapidly translate the emerging discoveries of novel drugs into unprecedented clinical outcomes in patients with cancer and to accelerate the implementation of precision oncology.

Indexed as

NeoplasmsHumansMedical OncologyPrecision MedicineBasket trialBiomarkersPersonalized medicineReal world dataUmbrella trial

Identifiers

PMID33022355
PMCPMC11891943
OpenAlexW3091096390

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.