Evidence map›Paper›PMID 38409643›Full record

ReviewAmerican journal of clinical dermatology2024

Rapidly Evolving Pre- and Post-surgical Systemic Treatment of Melanoma.

Ryan C Augustin, Jason J Luke

Open access · greenAbstract readReview
In one paragraph

Review in American journal of clinical dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 4 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ryan C AugustinUPMC Hillman Cancer Center, 5150 Centre Ave. Room 1.27C, Pittsburgh, PA, 15232, USA.
Jason J LukeUPMC Hillman Cancer Center, 5150 Centre Ave. Room 1.27C, Pittsburgh, PA, 15232, USA. lukejj@upmc.edu.ORCID http://orcid.org/0000-0002-1182-4908
University of Pittsburgh · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
Project 5: Microenvironment manipulation using anti-angiogenics to improve immunotherapy in melanomaP50CA254865 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WANG, HONG · 2021 to 2025
$10.4M
NCI ET-CTN with Phase i Emphasis at UPCIUM1CA186690 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD, Farshid Dayyani · 2014 to 2026
$9.1M
NCI NIH HHS P30 CA047904NCI NIH HHS P30CA047904NCI NIH HHS P50 CA254865NCI NIH HHS P50CA254865NCI NIH HHS UM1 CA186690NCI NIH HHS UM1CA186690
6 · The paper itself

Abstract

With the development of effective BRAF-targeted and immune-checkpoint immunotherapies for metastatic melanoma, clinical trials are moving these treatments into earlier adjuvant and perioperative settings. BRAF-targeted therapy is a standard of care in resected stage III-IV melanoma, while anti-programmed death-1 (PD1) immunotherapy is now a standard of care option in resected stage IIB through IV disease. With both modalities, recurrence-free survival and distant-metastasis-free survival are improved by a relative 35-50%, yet no improvement in overall survival has been demonstrated. Neoadjuvant anti-PD1 therapy improves event-free survival by approximately an absolute 23%, although improvements in overall survival have yet to be demonstrated. Understanding which patients are most likely to recur and which are most likely to benefit from treatment is now the highest priority question in the field. Biomarker analyses, such as gene expression profiling of the primary lesion and circulating DNA, are preliminarily exciting as potential biomarkers, though each has drawbacks. As in the setting of metastatic disease, markers that inform positive outcomes include interferon-γ gene expression, PD-L1, and high tumor mutational burden, while negative predictors of outcome include circulating factors such as lactate dehydrogenase, interleukin-8, and C-reactive protein. Integrating and validating these markers into clinically relevant models is thus a high priority. Melanoma therapeutics continues to advance with combination adjuvant approaches now investigating anti-PD1 with lymphocyte activation gene 3 (LAG3), T-cell immunoreceptor with Ig and ITIM domains (TIGIT), and individualized neoantigen therapies. How this progress will be integrated into the management of a unique patient to reduce recurrence, limit toxicity, and avoid over-treatment will dominate clinical research and patient care over the next decade.

Indexed as

MelanomaSkin NeoplasmsBiomarkers, TumorHumansImmune Checkpoint InhibitorsNeoadjuvant TherapyNeoplasm Recurrence, LocalNeoplasm StagingProto-Oncogene Proteins B-rafBiomarkers, TumorBRAF protein, humanImmune Checkpoint InhibitorsProto-Oncogene Proteins B-raf

Identifiers

PMID38409643
PMCPMC11552441
OpenAlexW4392153612

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.