Observational studyPloS one2018
Body mass index may predict the response to ipilimumab in metastatic melanoma: An observational multi-centre study.
Observational study in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 7 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
68 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Association between body mass index and lymph node metastasis among women with cervical cancer: a systematic review and network meta-analysis.Archives of gynecology and obstetrics · 2024Pooled it
- Baseline risk factors associated with immune related adverse events and atezolizumab.Frontiers in oncology · 2023Pooled it
- The predictive value of body mass index on prognosis and adverse events of cancers treated with immunotherapy: a systematic review and meta-analysis.Cancer immunology, immunotherapy : CII · 2021Pooled it
- Impact of BMI on Survival Outcomes of Immunotherapy in Solid Tumors: A Systematic Review.International journal of molecular sciences · 2021Pooled it
- Association of Obesity With Survival Outcomes in Patients With Cancer: A Systematic Review and Meta-analysis.JAMA network open · 2021Pooled it
- Pretreatment body mass index and clinical outcomes in cancer patients following immune checkpoint inhibitors: a systematic review and meta-analysis.Cancer immunology, immunotherapy : CII · 2020Pooled it
- Association between body mass index and survival outcomes for cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis.Journal of translational medicine · 2020Pooled it
- Association Between Body Mass Index and Overall Survival With Immune Checkpoint Inhibitor Therapy for Advanced Non-Small Cell Lung Cancer.JAMA oncology · 2020Trial
- Impact of baseline nutritional and inflammatory markers on safety and efficacy of immune checkpoint inhibitors in cancer patients: a retrospective, monocentric study.Discover oncology · 2026Article
- Clinical, Dermatoscopic, Histological and Molecular Prognostic and Predictive Factors of Metastatic Melanoma Response to Immunotherapy: A Systematic Review and Drug Class Meta-Analysis.Journal of clinical medicine · 2026Review
- Obesity and melanoma: unraveling the paradoxical survival benefit in immunotherapy.Cancer metastasis reviews · 2026Review
- Host-related Determinants of Response to Immunotherapy in Non-small Cell Lung Cancer: The Interplay of Body Composition, Metabolism, Sex and Immune Regulation.Current oncology reports · 2025Review
- Review
- Impact of body mass index on the efficacy of immune combination therapy in metastatic renal cell carcinoma: a multicenter study in Japan.International journal of clinical oncology · 2025Article
- Estrogens determine the efficacy of cancer immunotherapy in obese males with melanoma.JCI insight · 2025Article
- Nutrition and Diet Patterns as Key Modulators of Metabolic Reprogramming in Melanoma Immunotherapy.Journal of clinical medicine · 2025Review
- Lipid accumulation product and visceral adiposity index as independent predictors of long-term survival after gastric cancer immunotherapy.BMC cancer · 2025Article
- IL-1β blockade prevents cardiotoxicity and improves the efficacy of immune checkpoint blockers and chemotherapy against pancreatic cancer in mice with obesity.Journal for immunotherapy of cancer · 2025Article
- Obesity and overweight in R/R DLBCL patients is associated with a better response to treatment of R2-GDP-GOTEL trial. Potential role of NK CD8 + cells and vitamin D.Cancer & metabolism · 2025Article
- Immune checkpoint inhibitor-induced toxicity: a real-world analysis of the role of BMI.Frontiers in oncology · 2025Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionImmunotherapy is a well-established treatment option in patients with metastatic melanoma. However, biomarkers that can be used to predict a response in these patients have not yet been found, putting patients at risk of severe side effects.
methodsIn this retrospective analysis, we investigated the association between the body mass index and ipilimumab treatment response in patients with metastatic melanoma. Patients with metastatic melanoma who received a monotherapy of up to 4 doses of ipilimumab (3 mg/kg) every 3 weeks from 2011 to 2014 in three major hospitals in Austria were included. Patients were classified into two groups: normal group (BMI<25) and overweight group (BMI≥25).
results40 patients had a normal BMI, and 36 had a BMI above normal. Patients with a BMI that was above normal showed significantly higher response rates (p = 0.024, χ2), and lower likelihood of brain metastases (p = 0.012, χ2). No differences were found between both groups with respect to gender (p = 0.324, χ2), T-stage (p = 0.197, χ2), or the occurrence of side effects (p = 0.646, χ2). Patients with a BMI above normal showed a trend towards longer overall survival (p = 0.056, Log-Rank), but no difference was found regarding progression-free survival (p = 0.924, Log-Rank).
conclusionsThe BMI correlated with the response to ipilimumab treatment in a cohort of metastatic melanoma patients.
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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.