ArticleCancer management and research2021
Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment.
Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Blood lipid metabolic biomarkers are emerging as significant prognostic indicators for survival in cancer patients.BMC cancer · 2024Pooled it
- Diabetes Mellitus as an Independent Risk Factor for Unfavorable Prognosis in Patients With Small Cell Lung Cancer.Thoracic cancer · 2026Article
- Real-world efficacy of lenvatinib/pembrolizumab combination in anaplastic thyroid carcinoma: case series from two Italian referral centers.European thyroid journal · 2026Observational
- Body mass index and type 2 diabetes mellitus as metabolic determinants of immune checkpoint inhibitors response in melanoma.Journal for immunotherapy of cancer · 2024Article
- The efficacy of first and second immunotherapy exposure in patients with recurrent or metastatic cervical cancer.Cancer medicine · 2024Article
- Prognostic models for immunotherapy in non-small cell lung cancer: A comprehensive review.Heliyon · 2024Review
- Differential impact of lipid profile according to neutrophil-to-lymphocyte ratio status in patients with advanced cancer treated with immunotherapy.Immunotherapy · 2024Article
- Nomogram for predicting the prognosis of metastatic colorectal cancer patients treated with anti-PD1 therapy based on serum lipids analysis.Cancer immunology, immunotherapy : CII · 2023Article
- Predictive and prognostic role of early apolipoprotein A-I alteration in recurrent or metastatic nasopharyngeal carcinoma patients treated with anti-PD-1 therapy.Cancer medicine · 2023Article
- The role of blood cholesterol quality in patients with advanced cancer receiving immune checkpoint inhibitors.Cancer immunology, immunotherapy : CII · 2023Article
- Low-density lipoprotein balances T cell metabolism and enhances response to anti-PD-1 blockade in a HCT116 spheroid model.Frontiers in oncology · 2023Article
- Hypercholesterolemia in Cancer and in Anorexia Nervosa: A Hypothesis for a Crosstalk.International journal of molecular sciences · 2022Review
- 'Know thyself' - host factors influencing cancer response to immune checkpoint inhibitors.The Journal of pathology · 2022Review
- Immunometabolic Markers in a Small Patient Cohort Undergoing Immunotherapy.Biomolecules · 2022Article
- The cholesterol pathway: impact on immunity and cancer.Trends in immunology · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAlthough predictive markers of immune checkpoint inhibitor (ICI)-based treatments have been extensively studied, with the exception of programmed death ligand 1 (PD-L1), most are not widely used in the clinic due to poor effects or defective practicability. The aim of this study was to identify those patients with high baseline serum cholesterol who benefit from ICI-based treatments. PATIENTS AND
methodsPatients with advanced non-small cell lung cancer (NSCLC) treated at Ningbo Medical Center, Li Huili Hospital between August 2017 and December 2019 were enrolled in this retrospective study. The Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1) were used to evaluate the efficacy of the ICI-based treatment. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier survival curves and compared using the log rank test. Univariate and multivariate analyses were conducted using the logistic regression analysis and Cox proportional hazards model. A receiver operating characteristic curve was created, and the area under the curve (AUC) was calculated to compare the predictive value of baseline serum cholesterol with PD-L1 expression for patient response to ICI-based treatment.
resultsIn our cohort of 169 NSCLC patients, the objective response rate (ORR) and disease control rate (DCR) of the treatment were significantly higher in patients with hypercholesterolemia (>5.18 mmol/L) than in those with hypocholesterolemia (ORR: 33.67% vs 14.08%, P=0.004; DCR: 68.37% vs 42.25%, P=0.001). The median PFS was 7.9 months in the hypercholesterolemia group, significantly longer than in the hypocholesterolemia group (4.4 months, 95% CI: 4.620-7.380, P<0.001). The median OS in the two groups were 11 months and 8 months, with 95% CIs of 8.980-10.420 (P<0.001). The AUC for the baseline level of cholesterol was 0.706 (P<0.001), while it was 0.643 (P=0.001) for PD-L1 expression.
conclusionThe baseline serum cholesterol level is predictive of a clinical benefit for advanced NSCLC patients who undergo ICI-based treatment, and hence it is a promising prognostic indicator for ICI-based treatment of NSCLC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.