Evidence map›Paper›PMID 40620891›Full record

ArticleContemporary oncology (Poznan, Poland)2025

Chemotherapy efficacy in advanced melanoma patients after failure of immune checkpoint and BRAF/MEK inhibitors.

Łukasz Galus, Daria Tusień Małecka, Michał Michalak, Sylwia Kopeć, Katarzyna Kozak, Karolina Piejko, Marcin Ziętek, Zbyszko Chowaniec, Bożena Cybulska Stopa, Robert Dziura and 5 more

Abstract read
In one paragraph

Article in Contemporary oncology (Poznan, Poland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

15 authors.

Łukasz GalusDepartment of Medical and Experimental Oncology, Institute of Oncology, Poznan University of Medical Sciences, Poznań, Poland.
Daria Tusień MałeckaDepartment of Medical and Experimental Oncology, Institute of Oncology, Poznan University of Medical Sciences, Poznań, Poland.
Michał MichalakDepartment of Computer Science and Statistics, Poznan University of Medical Sciences, Poznań, Poland.
Sylwia KopećDepartment of Soft Tissue/Bone Sarcoma and Melanoma, Maria Skłodowska-Curie National Research Institute of Oncology, Warszawa, Poland.
Katarzyna KozakDepartment of Soft Tissue/Bone Sarcoma and Melanoma, Maria Skłodowska-Curie National Research Institute of Oncology, Warszawa, Poland.
Karolina PiejkoDepartment of Clinical Oncology, Clinical Oncology Clinic, Maria Skłodowska-Curie National Research Institute of Oncology, Cracow Branch, Kraków, Poland.
Marcin ZiętekDepartment of Oncology, Wroclaw Medical University, Wrocław, Poland.
Zbyszko ChowaniecDepartment of Oncology, Wroclaw Medical University, Wrocław, Poland.
Bożena Cybulska StopaDepartment of Clinical Oncology, Wroclaw Comprehensive Cancer Center, Wrocław, Poland.
Robert DziuraDepartment of Clinical Oncology, Holy Cross Cancer Center, Kielce, Poland.
Justyna ŻubrowskaDepartment of Clinical Oncology, Holy Cross Cancer Center, Kielce, Poland.
Grażyna Kamińska WinciorekDepartment of Bone Marrow Transplantation and Oncohematology, Skin Cancer and Melanoma Team, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice, Poland.
Wiesław BalDepartment of Chemotherapy, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Piotr RutkowskiDepartment of Soft Tissue/Bone Sarcoma and Melanoma, Maria Skłodowska-Curie National Research Institute of Oncology, Warszawa, Poland.
Jacek MackiewiczDepartment of Medical and Experimental Oncology, Institute of Oncology, Poznan University of Medical Sciences, Poznań, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite the introduction of new therapies for the treatment of advanced melanoma, treatment is ineffective for a certain number of patients. The efficacy of chemotherapy after failure of anti-programmed death receptor (PD-1) immunotherapy alone or combined with anti-cytotoxic T-lymphocyte-associated antigen (CTLA) is not fully understood. It is believed that due to the immunomodulatory effect of cytostatic agents, its efficacy may be greater when applied after the failure of immunotherapy. The aim of this study was to evaluate the efficacy of different chemotherapy regimens after failure of immunotherapy. Material and methods: Patients with advanced melanoma after failure of immunotherapy (anti-PD1+/- anti-CTLA-4) and BRAF mutation-targeted therapy with a BRAF/MEK inhibitor were included in a multicenter, retrospective analysis. Patients were treated with one of four chemotherapy regimens: dacarbazine (DTIC); paclitaxel with carboplatin; cisplatin, vinblastine and dacarbazine (CVD) or bleomycin, DTIC, lomustine, vincristine. The objective response rate (ORR), disease control rate (DCR), median progression-free survival (PFS) and overall survival (OS) were compared in study patients. Results: One hundred twenty-four patients were included in the study. Objective response rate was 16.88%, DCR was 38.96%, while median PFS and OS were 2.75 [95% CI: 2.25-3.5] and 6 months [95% CI: 4.75-40], respectively. There were no statistically significant differences in ORR, DCR, median PFS, and OS rates between the patients receiving different chemotherapy regimens. Conclusions: In advanced melanoma patients after failure of immune-checkpoint inhibitors with or without BRAF/MEK inhibitors, the choice of chemotherapy regimen remains dependent on the patient's general condition, comorbidities, the need for rapid reduction of tumor masses, and physician and patient preference.

Indexed as

chemotherapyimmunotherapymelanomametastasistarget therapy

Identifiers

PMID40620891
PMCPMC12224272

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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.