Evidence map›Paper›PMID 42625602›Full record

ArticleFrontiers in oncology2026

Low-dose decitabine combined with camrelizumab for refractory/relapsed mycosis fungoides/Sézary syndrome: a retrospective exploratory study.

Shan Meng, Longfei Zhu, Bin Peng, Chen Tu, Yilin Zhang, Xingmei Cao, Liufang Gu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Shan MengDepartment of Hematology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, China.
Longfei ZhuDepartment of Dermatology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, China.
Bin PengDepartment of Dermatology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, China.
Chen TuDepartment of Dermatology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, China.
Yilin ZhangDepartment of Hematology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, China.
Xingmei CaoDepartment of Hematology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, China.
Liufang GuDepartment of Hematology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mycosis fungoides (MF) and Sézary syndrome (SS) are the main subtypes of cutaneous T-cell lymphomas that are characterized by clinical heterogeneity and are difficult to cure. Objective: This retrospective study evaluated the efficacy and immunomodulatory effects of low-dose decitabine combined with camrelizumab, a novel PD-1 monoclonal antibody used to treat patients with refractory advanced MF/SS. Methods: The enrolled patients received decitabine (10 mg/d, days 1-5) combined with camrelizumab (200 mg, day 7) every 4 weeks. The response was assessed and peripheral blood was analyzed for T-cell subsets, cytokines, Lactate Dehydrogenase (LDH), β2-microglobulin levels, and lymphocyte parameters. Adverse events were monitored. Conclusion: The combination regimen showed encouraging preliminary activity and tolerability in this small retrospective cohort, although the efficacy of SS remains suboptimal. These findings are hypothesis-generating and require prospective validation.

Indexed as

camrelizumabcutaneous T-cell lymphomademethylationimmune checkpoint inhibitorsmycosis fungoides/Sézary syndrome

Identifiers

PMID42625602
PMCPMC13489844

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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.