Evidence map›Paper›PMID 40432222›Full record

ReviewFuture oncology (London, England)2025

Cemiplimab in the treatment of metastatic basal cell carcinoma.

Monika Bapna, Emily Ruiz

Abstract readReview
In one paragraph

Review in Future oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Monika BapnaDepartment of Dermatology, Georgetown University School of Medicine, Washington, DC, USA.
Emily RuizDepartment of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic basal cell carcinoma (mBCC) is a rare but aggressive form of skin cancer that poses significant therapeutic challenges. Historically, systemic treatment options were limited, with hedgehog pathway inhibitors (HHIs) providing modest efficacy, but poor tolerability long term. This review explores cemiplimab, an immune checkpoint inhibitor targeting PD-1, as a novel therapeutic agent for mBCC. We examine its pharmacologic profile, clinical efficacy in clinical trials, safety and tolerability, and real-world performance. A comprehensive literature review was conducted using PubMed and clinical trial registries to assess cemiplimab's role in mBCC treatment, including its comparison to HHIs and potential in combination or neoadjuvant strategies. Cemiplimab has emerged as a transformative therapy for patients with mBCC who are intolerant to or have progressed on HHIs. Despite lower response rates compared to cutaneous squamous cell carcinoma, cemiplimab offers meaningful and durable disease control with a favorable safety profile and preservation of quality of life. Ongoing research into predictive biomarkers, neoadjuvant use, and combination regimens may further enhance its clinical utility.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalBasal Cell CarcinomaImmune Checkpoint InhibitorsSkin NeoplasmsClinical Trials as TopicHumansProgrammed Cell Death 1 ReceptorTreatment OutcomeAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalcemiplimabImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptoradvanced basal cell carcinomacemiplimabcheckpoint inhibitors in oncologyhedgehog inhibitor resistanceimmunotherapy for skin cancerMetastatic basal cell carcinoma (mBCC)PD-1 inhibitorreal-world evidence in immunotherapy

Identifiers

PMID40432222
PMCPMC12218522

What OpenQuestion holds

Textmetadata
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.