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Clinical impact of extensive molecular profiling in advanced cancer patients

Overview of attention for article published in Journal of Hematology & Oncology, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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1 policy source
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Citations

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21 Dimensions

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51 Mendeley
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Title
Clinical impact of extensive molecular profiling in advanced cancer patients
Published in
Journal of Hematology & Oncology, February 2017
DOI 10.1186/s13045-017-0411-5
Pubmed ID
Authors

Sophie Cousin, Thomas Grellety, Maud Toulmonde, Céline Auzanneau, Emmanuel Khalifa, Yec’han Laizet, Kevin Tran, Sylvestre Le Moulec, Anne Floquet, Delphine Garbay, Jacques Robert, Isabelle Hostein, Isabelle Soubeyran, Antoine Italiano

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Bachelor 6 12%
Student > Master 6 12%
Student > Ph. D. Student 6 12%
Other 4 8%
Other 5 10%
Unknown 14 27%
Readers by discipline Count As %
Medicine and Dentistry 18 35%
Biochemistry, Genetics and Molecular Biology 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Agricultural and Biological Sciences 2 4%
Nursing and Health Professions 1 2%
Other 5 10%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2023.
All research outputs
#6,132,803
of 25,081,419 outputs
Outputs from Journal of Hematology & Oncology
#467
of 1,279 outputs
Outputs of similar age
#106,911
of 431,107 outputs
Outputs of similar age from Journal of Hematology & Oncology
#15
of 43 outputs
Altmetric has tracked 25,081,419 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 63% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 431,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.