ArticleDiscover oncology2022
Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis.
Article in Discover oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Real-world serplulimab plus chemotherapy for extensive-stage small cell lung cancer in china: an external validation of ASTRUM-005 trial.BMC medicine · 2026Observational
- Breaking the immune "cold niche" in bone metastasis: core mechanisms of the multidimensional interwoven regulatory network and precision breakthrough strategies.Molecular cancer · 2026Review
- Transforming Cancer Diagnosis and Therapy Through Fluorescent Hydrogels: A Review.Advanced healthcare materials · 2026Review
- Observational
- Outcomes for smokers who develop melanoma: a systematic review and meta-analysis.EClinicalMedicine · 2024Article
- Genetically driven predisposition leads to an unusually genomic unstable renal cell carcinoma.Discover oncology · 2024Article
- p63 orchestrates serine and one carbon metabolism enzymes expression in head and neck cancer.Biology direct · 2023Article
- Serine and one-carbon metabolism sustain non-melanoma skin cancer progression.Cell death discovery · 2023Article
Corrections and comments
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Authors and funding
17 authors at 4 institutions in 1 country.
Funding
Abstract
objectivesResponse to immune checkpoint inhibitor (ICI) remains limited to a subset of patients and predictive biomarkers of response remains an unmet need, limiting our ability to provide precision medicine. Using real-world data, we aimed to identify potential clinical prognosticators of ICI response in solid tumor patients.
methodsWe conducted a retrospective analysis of all solid tumor patients treated with ICIs at the Mount Sinai Hospital between January 2011 and April 2017. Predictors assessed included demographics, performance status, co-morbidities, family history of cancer, smoking status, cancer type, metastatic pattern, and type of ICI. Outcomes evaluated include progression free survival (PFS), overall survival (OS), overall response rate (ORR) and disease control rate (DCR). Univariable and multivariable Cox proportional hazard models were constructed to test the association of predictors with outcomes.
resultsWe identified 297 ICI-treated patients with diagnosis of non-small cell lung cancer (N = 81, 27.3%), melanoma (N = 73, 24.6%), hepatocellular carcinoma (N = 51, 17.2%), urothelial carcinoma (N = 51, 17.2%), head and neck squamous cell carcinoma (N = 23, 7.7%), and renal cell carcinoma (N = 18, 6.1%). In multivariable analysis, good performance status of ECOG ≤ 2 (PFS, ORR, DCR and OS) and family history of cancer (ORR and DCR) associated with improved ICI response. Bone metastasis was associated with worse outcomes (PFS, ORR, and DCR).
conclusionsMechanisms underlying the clinical predictors of response observed in this real-world analysis, such as genetic variants and bone metastasis-tumor microenvironment, warrant further exploration in larger studies incorporating translational endpoints. Consistently positive clinical correlates may help inform patient stratification when considering ICI therapy.
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