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Record W4405199851 · doi:10.1111/jdv.20481

Merkel cell carcinoma after solid organ transplant

2024· letter· en· W4405199851 on OpenAlexaff
Samantha Keow, Bonnie Lu, Dea Metko, Mohannad Abu‐Hilal

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2024
Typeletter
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineMerkel cell carcinomaIncidence (geometry)Internal medicineSurgeryCarcinoma

Abstract

fetched live from OpenAlex

Merkel cell carcinoma (MCC) is a rare, aggressive neuroendocrine tumour with increased incidence in solid organ transplant recipients (SOTRs). This study provides the first systematic synthesis of current literature on the clinical characteristics, treatments and outcomes of MCC in SOTRs. A search of Ovid's Medline and Embase databases was conducted from inception to December 2023, following PRISMA 2020 guidelines (PROSPERO: CRD42024512388). Thirty studies were identified after abstract/title and full-text screening, with citation chaining identifying 18 additional articles. This yielded a total of 264 SOTR-MCC patients (Table 1), with 110 originating from a 2015 study by Clarke et al.1 Most were male (72.6%) and of European ancestry (92.8%). The median of median diagnostic age was 69 years, and the median of median post-transplant time was 62.8 months. Kidney transplants were the most common (64.4%), followed by cardiothoracic (20.1%) and liver transplants (11.4%). Primary tumour sites were predominantly located in the head and neck (49.1%) and upper limb (24.3%). Most patients were on two (42.6%) or three (51.5%) immunosuppressive drugs at diagnosis, commonly corticosteroids (34.6%), cyclosporine (23.0%) or azathioprine (19.4%). Post-diagnosis treatments included surgery (n = 64), radiation (n = 35) and chemotherapy (n = 20). Six studies reported standardized incidence ratios (SIRs) for SOTR-MCC. Of these, three examined SIRs across kidney, liver and cardiothoracic transplants; two focused on kidney transplants; one studied cardiothoracic transplant. The summary SIR for SOTR-MCC was 56.17 (95% CI 32.78–96.25; p < 0.0001) (Figure 1a), with the kidney subgroup showing a summary SIR of 67.90 (95% CI 44.41–103.82; p < 0.0001) (Figure 1b). While kidney transplants accounted for a large proportion of cases, this emphasis may stem from the relative frequencies of these transplants rather than characteristics associated with specific SOTs.2 A Swedish study found kidney transplants to have the lowest MCC SIR (52) compared to liver (182) and thoracic transplants (121).3 Variations in immunosuppressive intensity and characteristics may better explain variabilities in SIR estimates across SOT types. The role of immune status and immunosuppressive aetiology as predictors of overall survival (OS) in MCC has been well-established. A 2021 study by Yusuf et al. found the 3-year OS for SOTR-MCC patients to be 33%, which was lower than that of MCC patients with leukaemia (40.3%) or non-Hodgkin's lymphoma (52.1%).4 A proposed cause of MCC is the integration of Merkel cell polyomavirus (MCPyV) into the host genome, which disrupts the retinoblastoma pathway.5 However, while 72%–91% of immunocompetent MCC patients are MCPyV-positive, only 20%–33% of SOTR-MCC cases test positive.6, 7 A 2022 study by Ferrándiz-Pulido et al.6 found that SOTR-MCC tumours exhibit histological characteristics consistent with MCPyV-negative MCC. These recent findings suggest MCPyV may be less involved in the etiopathogenesis of SOTR-MCC than previously thought. Current SOTR-MCC treatment aligns with that of the general population, with surgery being the most common approach. However, a 2018 study found PD-1/PD-L1 immune checkpoint inhibitors to significantly improve OS for metastatic MCC patients.8 While PD-1/PD-L1 inhibitors are associated with acute rejection and graft loss in kidney transplants, reducing drug administration frequency has contributed to successful outcomes, suggesting they should still be considered for SOTR-MCC.9 Our findings highlight that male sex, European ancestry, older age and a prolonged post-transplant period are risk factors for SOTR-MCC. These trends are consistent with the Clarke et al. study, which remains the largest SOTR-MCC dataset to date. Further research is needed to validate these findings and elucidate how factors such as specific immunosuppressive medications and MCPyV status contribute to SOTR-MCC risk. None. The authors declare no conflicts of interest. Not applicable. Not applicable. The data that support the findings of this study are available from the corresponding author upon reasonable request.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.539
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.246
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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