Evidence map›Paper›PMID 39661533›Full record

ArticleMolecular oncology2025

Impact of molecular diagnostics and targeted cancer therapy on patient outcomes (MODIFY): a retrospective study of the implementation of precision oncology.

Michaël Dang, Anna Schritz, Nikolai Goncharenko, Guy Berchem

Abstract read
In one paragraph

Article in Molecular oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

4 authors.

Michaël DangDepartment of Oncology, Centre Hospitalier de Luxembourg (CHL), Luxembourg.ORCID https://orcid.org/0009-0006-7902-3767
Anna SchritzLuxembourg Institute of Health (LIH), Luxembourg.
Nikolai GoncharenkoInstitut National du Cancer (INC), Luxembourg, Luxembourg.ORCID https://orcid.org/0000-0002-9873-1885
Guy BerchemDepartment of Oncology, Centre Hospitalier de Luxembourg (CHL), Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput genomic analyses are being implemented in clinical practice. MODIFY is a retrospective study of the first introduction of genomic profiling and molecular tumor boards in the country of Luxembourg. The primary objective was to assess whether patients derived a clinical benefit by measuring the percentage of patients who presented a progression-free survival (PFS) on matched therapy (PFS2) 1.3-fold longer than PFS on previous therapy (PFS1). A total of 94 patients were included. In total, 45 patients (53.57% of patients with successful next-generation sequencing [NGS] analysis) were found to have an actionable mutation. Of these, 11 patients received the treatment recommended by the molecular tumor board, another 12 received best-supportive care, and 20 were treated with conventional therapy. PFS2 and PFS1 data were available for eight patients. The PFS2/PFS1 ratio was ≥ -1.3 in 62.5% (n = 5/8; CI [30.38, 86.51]) of patients; three patients showed a partial response, and median overall survival (OS) was 7.3 months. Although the examined population was small, this study further supports evidence indicating that patients with advanced cancer benefit from molecular profiling and targeted therapy.

Indexed as

Molecular Targeted TherapyNeoplasmsPrecision MedicineAdultAgedAged, 80 and overFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationProgression-Free SurvivalRetrospective StudiesTreatment Outcomegenomic profilingmatched therapyPFS ratioprecision oncology

Identifiers

PMID39661533
PMCPMC12077269

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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.