Evidence map›Paper›PMID 37012213›Full record

ArticleCancer medicine2023

Avelumab for the treatment of locally advanced or metastatic Merkel cell carcinoma-A multicenter real-world experience in Israel.

Itamar Averbuch, Ronen Stoff, Mor Miodovnik, Shlomit Fennig, Gil Bar-Sela, Alexander Yakobson, Jonathan Daliot, Nethanel Asher, Eyal Fenig

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Merkel Cell Carcinoma.Hematology/oncology clinics of North America · 2024
    Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Personalized treatment concepts in extraocular cancer.Advances in ophthalmology practice and research
    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

9 authors at 4 institutions in 1 country.

Itamar AverbuchDavidoff Cancer Center, Rabin Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-1784-4528
Ronen StoffElla Institute for Immuno-Oncology, Sheba Medical Center, Sackler, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Mor MiodovnikDepartment of Dermatology, Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Shlomit FennigInstitute of Oncology, Kaplan Medical Center, Faculty of Medicine, Hebrew University, Jerusalem, Israel.
Gil Bar-SelaCancer Center, Emek Medical Center, Rappaport Faculty of Medicine, Israel Institute of Technology-Technion, Haifa, Israel.
Alexander YakobsonThe Legacy Heritage Oncology Center & Dr. Larry Norton Institute, Soroka Medical Center, School of Medicine, Ben Gurion University of the Negev, Beer Sheva, Israel.
Jonathan DaliotDavidoff Cancer Center, Rabin Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Nethanel AsherElla Institute for Immuno-Oncology, Sheba Medical Center, Sackler, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-4094-8045
Eyal FenigDavidoff Cancer Center, Rabin Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-1338-3189
Tel Aviv University · ILBen-Gurion University of the Negev · ILKaplan Medical Center · ILTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMerkel cell carcinoma (MCC) is a rare and aggressive malignancy of the skin, affecting predominantly the fair-skinned older population exposed to high levels of ultraviolet light. Immune suppression is considered a significant risk factor. With the recent advances in the field of immunotherapy, the treatment paradigm for advanced MCC, traditionally based on chemotherapy, has largely shifted to anti-PD-L1 and PD-1 agents such as avelumab and pembrolizumab, respectively. However, real-world data remain sparse. The aim of this study was to assess real-world evidence of the effectiveness of avelumab in a diverse group of patients with MCC in Israel.

methodsThe electronic databases of five university hospitals in Israel were searched for all consecutive patients with MCC treated with at least one dose of avelumab in 2018-2022. Data on baseline, disease-related, treatment-related, and outcome parameters were collected and analyzed.

resultsThe cohort included 62 patients of whom 22% were immune-suppressed. The overall response rate to avelumab was 59%. The median progression-free survival was 8.1 months, and the median overall survival, 23.5 months, with no differences between immune-competent and immune-suppressed patients. Treatment was well tolerated; any-grade toxicity developed in 34% of patients, and grade 3-4 toxicity, in 14%.

conclusionsAvelumab was found to be effective and safe for the treatment of advanced MCC in a diverse group of patients, including some with immune suppression. Further studies are warranted to evaluate the optimal sequence and duration of treatment and to assess the potential role of avelumab for earlier stages of MCC.

Indexed as

Carcinoma, Merkel CellSkin NeoplasmsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedHumansIsraelAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedavelumabavelumabimmunotherapyMerkel cell carcinomareal-world experience

Identifiers

PMID37012213
PMCPMC10278518
OpenAlexW4362523727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.