Evidence map›Paper›PMID 30847023›Full record

ArticleOncotarget2019

Results of the extended analysis for cancer treatment (EXACT) trial: a prospective translational study evaluating individualized treatment regimens in oncology.

Gerald W Prager, Matthias Unseld, Fredrik Waneck, Robert Mader, Fritz Wrba, Markus Raderer, Thorsten Fuereder, Phillip Staber, Ulrich Jäger, Markus Kieler and 10 more

Abstract read
In one paragraph

Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

20 authors.

Gerald W PragerDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Matthias UnseldDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Fredrik WaneckDepartment of Interventional Radiology, Medical University of Vienna, Vienna, Austria.
Robert MaderDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Fritz WrbaClinical Institute of Pathology, Medical University of Vienna, Vienna, Austria.
Markus RadererDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Thorsten FuerederDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Phillip StaberDepartment of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.
Ulrich JägerDepartment of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.
Markus KielerDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Daniela BianconiDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Mir Alireza HodaDepartment of Surgery, Institute of Cancer Research, Medical University of Vienna, Vienna, Austria.
Lukas BaumannCenter for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Alexander ReinthallerDepartment of General Gynecology and Gynecological Oncology, Medical University of Vienna, Vienna, Austria.
Walter BergerDepartment of Medicine I, Institute of Cancer Research, Medical University of Vienna, Vienna, Austria.
Christoph GrimmDepartment of General Gynecology and Gynecological Oncology, Medical University of Vienna, Vienna, Austria.
Heinz KölblDepartment of General Gynecology and Gynecological Oncology, Medical University of Vienna, Vienna, Austria.
Maria SibiliaDepartment of Medicine I, Institute of Cancer Research, Medical University of Vienna, Vienna, Austria.
Leonhard MüllauerClinical Institute of Pathology, Medical University of Vienna, Vienna, Austria.
Christoph ZielinskiDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe concept of personalized medicine defines a promising approach in cancer care. High-throughput genomic profiling of tumor specimens allows the identification of actionable mutations that potentially lead to tailored treatment for individuals' benefit. The aim of this study was to prove efficacy of a personalized treatment option in solid tumor patients after failure of standard treatment concepts.

resultsFinal analysis demonstrates that 34 patients (62%) had a longer PFS upon experimental treatment (PFS1) when compared to previous therapy (PFS0); PFS ratio > 1.0 (

conclusionThe prospective trial EXACT suggests that treatment based on real-time molecular tumor profiling leads to superior clinical benefit. MATERIALS AND

methodsIn this prospective clinical phase II trial, 55 cancer patients, after failure of standard treatment options, aimed to achieve a longer progression-free survival on the experimental treatment based on the individual's molecular profile (PFS1) when compared to the last treatment given before (PFS0). The personalized medicine approach was conceived to be clinical beneficial for patients who show a PFS ratio (PFS 1/PFS0) of > 1.0.

Indexed as

molecular profileprecision medicine

Identifiers

PMID30847023
PMCPMC6398177

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Registered trials

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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.