ReviewCancers2023
An Updated Review of the Biomarkers of Response to Immune Checkpoint Inhibitors in Merkel Cell Carcinoma: Merkel Cell Carcinoma and Immunotherapy.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- [Merkel cell carcinoma: current surgical approaches and multidisciplinary treatment].Revista medica del Instituto Mexicano del Seguro Social · 2026Review
- Antiviral regulator TRIM25 as a prognostic marker of better survival in Merkel cell carcinoma: Association with MCPyV status.International journal of cancer · 2026Article
- Efficacy of Immune Checkpoint Inhibitors and Oncoviruses in Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Review
- Cutaneous-Tropism Viruses: Unraveling Pathogenetic Mechanisms and Immunoprophylactic Strategies.Life (Basel, Switzerland) · 2026Review
- Article
- Advances in Precision Oncology: From Molecular Profiling to Regulatory-Approved Targeted Therapies.Cancers · 2025Review
- ZACN Associated with Poor Prognosis Promotes Proliferation of Kidney Renal Clear Cell Carcinoma Cells by Inhibiting JTC801-Induced Alkaliptosis.Applied biochemistry and biotechnology · 2025Article
- Understanding Merkel Cell Carcinoma: Pathogenic Signaling, Extracellular Matrix Dynamics, and Novel Treatment Approaches.Cancers · 2025Review
- EmergingFrontiers in cell and developmental biology · 2025Review
- Predictive Biomarkers and Resistance Mechanisms of Checkpoint Inhibitors in Malignant Solid Tumors.International journal of molecular sciences · 2024Review
- Review
- Merkel cell carcinoma overlapping Bowen's disease: two cases report and literature review.Journal of cancer research and clinical oncology · 2024Review
- Rare but Still There: An Interesting Case of Cytokeratin 20-Negative Merkel Cell Carcinoma.Cureus · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Merkel cell carcinoma (MCC) is primarily a disease of the elderly Caucasian, with most cases occurring in individuals over 50. Immune checkpoint inhibitors (ICI) treatment has shown promising results in MCC patients. Although ~34% of MCC patients are expected to exhibit at least one of the predictive biomarkers (PD-L1, high tumor mutational burden/TMB-H/, and microsatellite instability), their clinical significance in MCC is not fully understood. PD-L1 expression has been variably described in MCC, but its predictive value has not been established yet. Our literature survey indicates conflicting results regarding the predictive value of TMB in ICI therapy for MCC. Avelumab therapy has shown promising results in Merkel cell polyomavirus (MCPyV)-negative MCC patients with TMB-H, while pembrolizumab therapy has shown better response in patients with low TMB. A study evaluating neoadjuvant nivolumab therapy found no significant difference in treatment response between the tumor etiologies and TMB levels. In addition to ICI therapy, other treatments that induce apoptosis, such as milademetan, have demonstrated positive responses in MCPyV-positive MCC, with few somatic mutations and wild-type
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Registered trials
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.