Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 339

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

Treatment of Advanced Melanoma in 2020 and Beyond

Open access
Jenkins, Russell W., Fisher, David E.·2021·Journal of Investigative Dermatology

Abstract

The melanoma field has seen an unprecedented set of clinical advances over the past decade. Therapeutic efficacy for advanced or metastatic melanoma went from being one of the most poorly responsive to one of the more responsive. Perhaps most strikingly, the advances which transformed management of the disease are based upon modern mechanism-based therapeutic strategies. The targeted approaches which primarily suppress the BRAF oncoprotein pathway, have high predictability of efficacy although less optimal depth or durability of response. Immunotherapy is primarily based upon blockade of one or two immune checkpoints, and has lower predictability of response, but higher fractions of durable remissions. This article reviews the clinical progress in management of advanced melanoma and also discusses impact of the same therapies on earlier stage disease, where the agents have shown significant promise in treating resectable but high-risk clinical scenarios. Collectively, the progress in melanoma therapeutics has transformed the standard of care for patients, informed new approaches that are increasingly utilized for treatment of other malignancies, and suggest novel strategies to further boost efficacy for the many patients not yet receiving optimal benefit from these approaches.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jid.2020.03.943

Cites

98 of 98 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 98 references

Cited by

See all 339

Metadata

Authors
Jenkins, R. W., & Fisher, D. E.
Venue
Journal of Investigative Dermatology
Publisher
Elsevier BV
Published
2021-01
Volume
141
Issue
1
Pages
23-31
ISSN
0022-202X (ISSN-L)
OpenAlex
W3014374354
Cited by
339
References
98
FWCI
14.45
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Treatment of Advanced Melanoma in 2020 and Beyond. https://app.cochat.ai/papers/10.1016/j.jid.2020.03.943
The paper
Jenkins, R. W., & Fisher, D. E. (2021). Treatment of Advanced Melanoma in 2020 and Beyond. Journal of Investigative Dermatology. https://doi.org/10.1016/j.jid.2020.03.943

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.