Evidence map›Paper›PMID 32447657›Full record

Trial reportBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2020

The Role of Anti-PD-1/PD-L1 in the Treatment of Skin Cancer.

James Randall Patrinely, Anna K Dewan, Douglas B Johnson

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. DNA-based immunotherapy for cancer: In vivo approaches for recalcitrant targets.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms.International journal of molecular sciences · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Cutaneous Oncology: Strategies for Melanoma Prevention, Diagnosis, and Therapy.Cancer control : journal of the Moffitt Cancer Center
    Review
  18. Article
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

3 authors at 2 institutions in 1 country.

James Randall PatrinelyVanderbilt University School of Medicine, 777 PRB, 2220 Pierce Ave, Nashville, TN, 37232, USA. james.r.patrinely@vanderbilt.edu.ORCID http://orcid.org/0000-0002-0979-1625
Anna K DewanDepartment of Dermatology, Vanderbilt University Medical Center, Nashville, TN, USA.
Douglas B JohnsonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Vanderbilt Clinical Oncology Research Career Development ProgramK12CA090625 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Paula Jill Hurley · 2001 to 2026
$16.9M
Long-Term Cardiovascular Sequelae of Cancer ImmunotherapiesR01HL155990 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JOHNSON, DOUGLAS B, MOSLEHI, JAVID J · 2021 to 2025
$3.3M
(PQ8) Patient- and tumor-specific biomarkers and mechanisms that predict irAEs resulting from checkpoint inhibitionR01CA227481 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BALKO, JUSTIN M, JOHNSON, DOUGLAS B · 2019 to 2023
$2.6M
Predicting and profiling long-term survival after immune checkpoint inhibitionK23CA204726 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JOHNSON, DOUGLAS B · 2016 to 2020
$756k
American Cancer Society Institutional grantNational Comprehensive Cancer Network Young investigators awardNCI NIH HHS K12 CA090625NCI NIH HHS K23 CA204726NCI NIH HHS R01 CA227481NHLBI NIH HHS R01 HL155990NIH HHS K23 CA204726NIH HHS NIH R01CA227481
6 · The paper itself

Abstract

Skin cancers remain the most common group of cancers globally, and the incidence continues to rise. Although localized skin cancers tend to have excellent outcomes following surgical excisions, the less common cases that become surgically unresectable or metastatic have been associated with poor prognosis and suboptimal treatment responses to cytotoxic chemotherapy. Development of monoclonal antibodies to programmed cell death-1 receptor and its ligand (PD-1/PD-L1) have transformed the management of metastatic melanoma, squamous cell carcinoma, and Merkel cell carcinoma. These agents, as monotherapies, are associated with response rates of approximately 40-60%, many of which persist durably. Further efficacy is observed with combination immunotherapy in advanced melanoma. Early reports suggest similar activity in locally advanced or metastatic basal cell carcinoma. In this review, we describe common molecular features of skin cancers that may render them particularly susceptible to anti-PD-1/PD-L1 and detail results from key clinical trials of these agents across skin cancers. Overall, the superior response rates of skin cancer to anti-PD-1/PD-L1 compared with other solid tumor types are likely due, at least in part, to a high mutational burden and, in Merkel cell carcinoma, viral etiology. Although melanoma has been rigorously studied in the setting of anti-PD-1/PD-L1 treatment, more research is needed for the other skin cancer types to establish toxicity profiles, responses, and quality-of-life outcomes.

Indexed as

Antineoplastic Agents, ImmunologicalMelanomaSkin NeoplasmsB7-H1 AntigenHumansImmunotherapyProgrammed Cell Death 1 ReceptorAntineoplastic Agents, ImmunologicalB7-H1 AntigenProgrammed Cell Death 1 Receptor

Identifiers

PMID32447657
PMCPMC8056779
OpenAlexW3027745631

What OpenQuestion holds

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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.