Evidence map›Paper›PMID 39060119›Full record

ReviewHematology/oncology clinics of North America2024

Merkel Cell Carcinoma.

Jennifer Strong, Patrick Hallaert, Isaac Brownell

Abstract readReview
In one paragraph

Review in Hematology/oncology clinics of North America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. [Merkel cell carcinoma: current surgical approaches and multidisciplinary treatment].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Viral zoonosis and human cancer: a perspective.Infectious agents and cancer · 2025
    Review
  11. Review
  12. 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.

Jennifer StrongDermatology Branch, NIAMS, NIH, 10 Center Drive, 12N240C, Bethesda, MD 20892-1908, USA.
Patrick HallaertDermatology Branch, NIAMS, NIH, 10 Center Drive, 12N240C, Bethesda, MD 20892-1908, USA.
Isaac BrownellDermatology Branch, NIAMS, NIH, 10 Center Drive, 12N240C, Bethesda, MD 20892-1908, USA. Electronic address: isaac.brownell@nih.gov.

Funding

Molecular pathogenesis and therapy innovation for Merkel cell carcinomaZIAAR041222 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI BROWNELL, ISAAC · 2022 to 2025
$4.0M
Clinical treatment of advanced Merkel cell carcinomaZIAAR041223 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI BROWNELL, ISAAC · 2022 to 2025
$2.0M
Intramural NIH HHS ZIA AR041223
6 · The paper itself

Abstract

Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine skin cancer that is highly radiosensitive and immunogenic. Immunotherapy is the primary treatment of advanced disease, and immune checkpoint inhibitors show promise as neoadjuvant or adjuvant therapy in patients with high-risk resectable MCC. Emerging biomarkers of tumor burden are becoming increasingly important in identifying high-risk patients and in post-treatment surveillance. Further research is needed to determine the optimal duration of anti-PD-(L)1 treatment and second-line options for patients with MCC refractory to immunotherapy. This review covers the characteristics and management of MCC including recent innovations and areas of active investigation.

Indexed as

Carcinoma, Merkel CellImmune Checkpoint InhibitorsSkin NeoplasmsBiomarkers, TumorDisease ManagementHumansImmunotherapyBiomarkers, TumorImmune Checkpoint InhibitorsImmunotherapyMerkel cell carcinomaMerkel cell polyomavirusNeuroendocrineSkin cancer

Identifiers

PMID39060119
PMCPMC11423797

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.