Evidence map›Paper›PMID 35430568›Full record

ArticleCancer genomics & proteomics

Mechanistic Translation of Melanoma Genetic Landscape in Enriched Pathways and Oncogenic Protein-Protein Interactions.

Michele Massimino, Stefania Stella, Giovanni Micale, Lucia Motta, Giuliana Pavone, Giuseppe Broggi, Eliana Piombino, Gaetano Magro, Hector Jose Soto Parra, Livia Manzella and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Genes · 2024
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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

11 authors at 2 institutions in 1 country.

Michele MassiminoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy; michedot@yahoo.it.
Stefania StellaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Giovanni MicaleDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Lucia MottaCenter of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico - S. Marco", Catania, Italy.
Giuliana PavoneCenter of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico - S. Marco", Catania, Italy.
Giuseppe BroggiDepartment of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Anatomic Pathology, University of Catania, Catania, Italy.
Eliana PiombinoPathology Unit, Department of Experimental Oncology, Mediterranean Institute of Oncology, Viagrande, Italy.
Gaetano MagroDepartment of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Anatomic Pathology, University of Catania, Catania, Italy.
Hector Jose Soto ParraMedical Oncology, A.O.U. "G. Rodolico - S. Marco", Catania, Italy.
Livia ManzellaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Paolo VigneriDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Policlinico Universitario di Catania · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimMalignant melanoma is a skin cancer originating from the oncogenic transformation of melanocytes located in the epidermal layers. Usually, the patient's prognosis depends on timing of disease detection and molecular and genetic profiling, which may all significantly influence mortality rates. Genetic analyses often detect somatic BRAF, NRAS and cKIT mutations, germline substitutions in CDKN2A, and alterations of the PI3K-AKT-PTEN pathway. A peculiar molecular future of melanoma is its high immunogenicity, making this tumor targetable by programmed cell death protein 1-specific antibodies. MATERIALS AND

methodsTen formalin-fixed paraffin embedded samples derived from melanoma patients were subjected to next-generation sequencing (NGS) analysis using the FDA-approved FoundationOne CDx™ test. The molecular features of each case were then analyzed employing several in silico prediction tools.

resultsWe analyzed the mutational landscape of patients with metastatic or relapsed cutaneous melanoma to define enriched pathways and protein-protein interactions. The analysis showed that both known genetic alterations and variants of unknown significance rely on redundant signaling converging on similar gene ontology biological processes. Complex informatics analyses of NGS-based genetic results identified pivotal signaling pathways that could provide additional targets for cancer treatment.

conclusionOur data suggest an additional role for NGS in melanoma, as analysis of comprehensive genetic findings using innovative informatic tools may lengthen the list of druggable molecular targets that impact patient outcome.

Indexed as

MelanomaSkin NeoplasmsCarcinogenesisCutaneous Malignant MelanomaHigh-Throughput Nucleotide SequencingHumansMutationPhosphatidylinositol 3-KinasesProto-Oncogene Proteins B-rafPhosphatidylinositol 3-KinasesProto-Oncogene Proteins B-rafMelanomamutational landscapenext-generation sequencingPPIsurvivalVUS

Identifiers

PMID35430568
PMCPMC9016481
OpenAlexW4224230243

What OpenQuestion holds

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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.