Evidence map›Paper›PMID 28179005›Full record

Trial reportJournal of hematology & oncology2017

Clinical impact of extensive molecular profiling in advanced cancer patients.

Sophie Cousin, Thomas Grellety, Maud Toulmonde, Céline Auzanneau, Emmanuel Khalifa, Yec'han Laizet, Kevin Tran, Sylvestre Le Moulec, Anne Floquet, Delphine Garbay and 4 more

Open access · goldAbstract readLetterRandomized Controlled Trial
In one paragraph

Trial report in Journal of hematology & oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
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  6. Review
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  13. Is There Value in Molecular Profiling of Soft-Tissue Sarcoma?Current treatment options in oncology · 2018
    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

14 authors at 1 institution in 1 country.

Sophie CousinEarly Phase Trials Unit, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Thomas GrelletyDepartment of Medicine, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Maud ToulmondeEarly Phase Trials Unit, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Céline AuzanneauDepartment of Biopathology, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Emmanuel KhalifaDepartment of Biopathology, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Yec'han LaizetDepartment of Bioinformatics, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Kevin TranDepartment of Bioinformatics, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Sylvestre Le MoulecEarly Phase Trials Unit, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Anne FloquetDepartment of Medicine, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Delphine GarbayDepartment of Medicine, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Jacques RobertDepartment of Biopathology, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Isabelle HosteinDepartment of Biopathology, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Isabelle SoubeyranDepartment of Biopathology, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Antoine ItalianoEarly Phase Trials Unit, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France. a.italiano@bordeaux.unicancer.fr.
Institut Bergonié · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous precision medicine studies have investigated conventional molecular techniques and/or limited sets of gene alterations. The aim of this study was to describe the impact of the next-generation sequencing of the largest panel of genes used to date in tumour tissue and blood in the context of institutional molecular screening programmes. DNA analysis was performed by next-generation sequencing using a panel of 426 cancer-related genes and by comparative genomic hybridization from formalin-fixed and paraffin-embedded archived tumour samples when available or from fresh tumour samples. Five hundred sixty-eight patients were enrolled. The median number of prior lines of treatment was 2 (range 0-9). The most common primary tumour types were lung (16.9%), colorectal (14.4%), breast (10.6%), ovarian (10.2%) and sarcoma (10.2%). The median patient age was 63 years (range 19-88). A total of 292 patients (51.4%) presented with at least one actionable genetic alteration. The 20 genes most frequently altered were TP53, CDKN2A, KRAS, PTEN, PI3KCA, RB1, APC, ERBB2, MYC, EGFR, CDKN2B, ARID1A, SMAD4, FGFR1, MDM2, BRAF, ATM, CCNE1, FGFR3 and FRS2. One hundred fifty-nine patients (28%) were included in early phase trials. The treatment was matched with a tumour profile in 86 cases (15%). The two main reasons for non-inclusion were non-progressive disease (31.5%) and general status deterioration (25%). Twenty-eight percent of patients presented with a growth modulation index (time to progression under the early phase trial treatment/time to progression of the previous line of treatment) >1.3.Extensive molecular profiling using high-throughput techniques allows for the identification of actionable mutations in the majority of cases and is associated with substantial clinical benefit in up to one in four patients.

Indexed as

Comparative Genomic HybridizationAdultAgedAged, 80 and overGene DosageGene FusionHigh-Throughput Nucleotide SequencingHumansMiddle AgedMutationNeoplasmsPrecision MedicineSequence Analysis, DNAYoung Adult

Identifiers

PMID28179005
PMCPMC5299780
OpenAlexW2586358969

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.