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Molecular profiling of lung cancer specimens and liquid biopsies using MALDI-TOF mass spectrometry

Overview of attention for article published in Diagnostic Pathology, January 2018
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Title
Molecular profiling of lung cancer specimens and liquid biopsies using MALDI-TOF mass spectrometry
Published in
Diagnostic Pathology, January 2018
DOI 10.1186/s13000-017-0683-7
Pubmed ID
Authors

Eleonora Bonaparte, Chiara Pesenti, Laura Fontana, Rossella Falcone, Leda Paganini, Anna Marzorati, Stefano Ferrero, Mario Nosotti, Paolo Mendogni, Claudia Bareggi, Silvia Maria Sirchia, Silvia Tabano, Silvano Bosari, Monica Miozzo

Abstract

Identification of predictive molecular alterations in lung adenocarcinoma is essential for accurate therapeutic decisions. Although several molecular approaches are available, a number of issues, including tumor heterogeneity, frequent material scarcity, and the large number of loci to be investigated, must be taken into account in selecting the most appropriate technique. MALDI-TOF mass spectrometry (MS), which allows multiplexed genotyping, has been adopted in routine diagnostics as a sensitive, reliable, fast, and cost-effective method. Our aim was to test the reliability of this approach in detecting targetable mutations in non-small cell lung cancer (NSCLC). In addition, we also analyzed low-quality samples, such as cytologic specimens, that often, are the unique source of starting material in lung cancer cases, to test the sensitivity of the system. We designed a MS-based assay for testing 158 mutations in the EGFR, KRAS, BRAF, ALK, PIK3CA, ERBB2, DDR2, AKT, and MEK1 genes and applied it to 92 NSCLC specimens and 13 liquid biopsies from another subset of NSCLC patients. We also tested the sensitivity of the method to distinguish low represented mutations using serial dilutions of mutated DNA. Our panel is able to detect the most common NSCLC mutations and the frequency of the mutations observed in our cohort was comparable to literature data. The assay identifies mutated alleles at frequencies of 2.5-10%. In addition, we found that the amount of DNA template was irrelevant to efficiently uncover mutated alleles present at high frequency. However, when using less than 10 ng of DNA, the assay can detect mutations present in at least 10% of the alleles. Finally, using MS and a commercial kit for RT-PCR we tested liquid biopsy from 13 patients with identified mutations in cancers and detected the mutations in 4 (MS) and in 5 samples (RT-PCR). MS is a powerful method for the routine predictive tests of lung cancer also using low quality and scant tissues. Finally, after appropriate validation and improvement, MS could represent a promising and cost-effective strategy for monitoring the presence and percentage of the mutations also in non-invasive sampling.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 12%
Student > Ph. D. Student 3 9%
Researcher 3 9%
Student > Master 3 9%
Student > Doctoral Student 1 3%
Other 3 9%
Unknown 17 50%
Readers by discipline Count As %
Medicine and Dentistry 5 15%
Biochemistry, Genetics and Molecular Biology 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 9%
Unknown 18 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 August 2018.
All research outputs
#15,536,861
of 23,090,520 outputs
Outputs from Diagnostic Pathology
#543
of 1,139 outputs
Outputs of similar age
#271,116
of 443,344 outputs
Outputs of similar age from Diagnostic Pathology
#7
of 18 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 443,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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 50% of its contemporaries.