Evidence map›Paper›PMID 32457828›Full record

ArticleFrontiers in oncology2020

Clinical Multigene Panel Sequencing Identifies Distinct Mutational Association Patterns in Metastatic Colorectal Cancer.

Francesca Belardinilli, Carlo Capalbo, Umberto Malapelle, Pasquale Pisapia, Domenico Raimondo, Edoardo Milanetti, Mahdavian Yasaman, Carlotta Liccardi, Paola Paci, Pasquale Sibilio and 15 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. International journal of molecular sciences · 2023
    Article
  6. Article
  7. The emerging era of personalized medicine in advanced colorectal cancer.Journal of gastroenterology and hepatology · 2022
    Review
  8. Article
  9. Article
  10. 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

25 authors at 6 institutions in 1 country.

Francesca BelardinilliDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Carlo CapalboDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Umberto MalapelleDepartment of Public Health, University Federico II, Naples, Italy.
Pasquale PisapiaDepartment of Public Health, University Federico II, Naples, Italy.
Domenico RaimondoDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Edoardo MilanettiDepartment of Physics, University La Sapienza, Rome, Italy.
Mahdavian YasamanDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Carlotta LiccardiDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Paola PaciInstitute for System Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy.
Pasquale SibilioInstitute for System Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy.
Francesco PepeDepartment of Public Health, University Federico II, Naples, Italy.
Caterina BonfiglioNational Institute of Gastroenterology-Research Hospital, IRCCS "S. de Bellis", Bari, Italy.
Silvia MeziDepartment of Radiological Oncological and Pathological Sciences, University La Sapienza, Rome, Italy.
Valentina MagriDepartment of Surgery Pietro Valdoni, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.
Anna CoppaDepartment of Experimental Medicine, University La Sapienza, Rome, Italy.
Arianna NicolussiDepartment of Experimental Medicine, University La Sapienza, Rome, Italy.
Angela GradiloneDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Marialaura PetroniCenter for Life Nano Science@Sapienza, Istituto Italiano di Tecnologia, Rome, Italy.
Stefano Di GiulioDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Francesca FabrettiDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Paola InfanteCenter for Life Nano Science@Sapienza, Istituto Italiano di Tecnologia, Rome, Italy.
Sonia ConiDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Gianluca CanettieriDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Giancarlo TronconeDepartment of Public Health, University Federico II, Naples, Italy.
Giuseppe GianniniDepartment of Molecular Medicine, University La Sapienza, Rome, Italy.
Sapienza University of Rome · ITFederico II University Hospital · ITItalian Institute of Technology · ITGastroenterology Hospital "Saverio de Bellis" · ITIstituto di Analisi dei Sistemi ed Informatica Antonio Ruberti · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive molecular characterization of human colorectal cancer (CRC) via Next Generation Sequencing (NGS) indicated that genetic or epigenetic dysregulation of a relevant, but limited, number of molecular pathways typically occurs in this tumor. The molecular picture of the disease is significantly complicated by the frequent occurrence of individually rare genetic aberrations, which expand tumor heterogeneity. Inter- and intratumor molecular heterogeneity is very likely responsible for the remarkable individual variability in the response to conventional and target-driven first-line therapies, in metastatic CRC (mCRC) patients, whose median overall survival remains unsatisfactory. Implementation of an extensive molecular characterization of mCRC in the clinical routine does not yet appear feasible on a large scale, while multigene panel sequencing of most commonly mutated oncogene/oncosuppressor hotspots is more easily achievable. Here, we report that clinical multigene panel sequencing performed for anti-EGFR therapy predictive purposes in 639 formalin-fixed paraffin-embedded (FFPE) mCRC specimens revealed previously unknown pairwise mutation associations and a high proportion of cases carrying actionable gene mutations. Most importantly, a simple principal component analysis directed the delineation of a new molecular stratification of mCRC patients in eight groups characterized by non-random, specific mutational association patterns (MAPs), aggregating samples with similar biology. These data were validated on a The Cancer Genome Atlas (TCGA) CRC dataset. The proposed stratification may provide great opportunities to direct more informed therapeutic decisions in the majority of mCRC cases.

Indexed as

genesmCRCmolecular stratificationmutationNGS

Identifiers

PMID32457828
PMCPMC7221020
OpenAlexW3023494706

What OpenQuestion holds

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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.