Evidence map›Paper›PMID 33807778›Full record

ReviewCancers2021

Resistance to Molecularly Targeted Therapies in Melanoma.

Meet Patel, Adam Eckburg, Shahina Gantiwala, Zachary Hart, Joshua Dein, Katie Lam, Neelu Puri

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
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

61 citing papers in PubMed.

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1 more citing papers are in PubMed but not listed here.

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

7 authors.

Meet PatelDepartment of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL 61107, USA.ORCID 0000-0002-9962-0087
Adam EckburgDepartment of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL 61107, USA.
Shahina GantiwalaDepartment of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL 61107, USA.ORCID 0000-0002-2069-5394
Zachary HartDepartment of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL 61107, USA.
Joshua DeinDepartment of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL 61107, USA.ORCID 0000-0003-2331-9068
Katie LamDepartment of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL 61107, USA.ORCID 0000-0001-5202-3341
Neelu PuriDepartment of Biomedical Sciences, University of Illinois College of Medicine at Rockford, Rockford, IL 61107, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant melanoma is the most aggressive type of skin cancer with invasive growth patterns. In 2021, 106,110 patients are projected to be diagnosed with melanoma, out of which 7180 are expected to die. Traditional methods like surgery, radiation therapy, and chemotherapy are not effective in the treatment of metastatic and advanced melanoma. Recent approaches to treat melanoma have focused on biomarkers that play significant roles in cell growth, proliferation, migration, and survival. Several FDA-approved molecular targeted therapies such as tyrosine kinase inhibitors (TKIs) have been developed against genetic biomarkers whose overexpression is implicated in tumorigenesis. The use of targeted therapies as an alternative or supplement to immunotherapy has revolutionized the management of metastatic melanoma. Although this treatment strategy is more efficacious and less toxic in comparison to traditional therapies, targeted therapies are less effective after prolonged treatment due to acquired resistance caused by mutations and activation of alternative mechanisms in melanoma tumors. Recent studies focus on understanding the mechanisms of acquired resistance to these current therapies. Further research is needed for the development of better approaches to improve prognosis in melanoma patients. In this article, various melanoma biomarkers including BRAF, MEK, RAS, c-KIT, VEGFR, c-MET and PI3K are described, and their potential mechanisms for drug resistance are discussed.

Indexed as

biomarkersmelanomamolecularly targeted therapiesresistanceTKIs

Identifiers

PMID33807778
PMCPMC7961479

What Socratic 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 Socratic graph.