Evidence map›Paper›PMID 36427017›Full record

ArticleThe oncologist2023

Baseline Neutrophil-to-Eosinophil Ratio Is Associated with Outcomes in Metastatic Renal Cell Carcinoma Treated with Immune Checkpoint Inhibitors.

Tony Z Zhuang, Deepak Ravindranathan, Yuan Liu, Dylan J Martini, Jacqueline T Brown, Bassel Nazha, Greta Russler, Lauren B Yantorni, Sarah Caulfield, Bradley C Carthon and 3 more

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In one paragraph

Article in The oncologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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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

13 authors.

Tony Z ZhuangDepartment of Medicine, Emory University School of Medicine, Atlanta, GA, USA.ORCID 0000-0002-1729-4629
Deepak RavindranathanDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Yuan LiuDepartments of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
Dylan J MartiniDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jacqueline T BrownDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Bassel NazhaDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.ORCID 0000-0001-6385-1329
Greta RusslerDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Lauren B YantorniDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Sarah CaulfieldDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Bradley C CarthonDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Omer KucukDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Viraj A MasterDepartment of Urology, Emory University School of Medicine, Atlanta, GA, USA.
Mehmet Asim BilenDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA.

Funding

Winship Cancer Institute Cancer Center Support GrantP30CA138292 · NCI · EMORY UNIVERSITY · PI Ragini Reiney Kudchadkar · 2009 to 2026
$47.5M
NCI NIH HHS P30 CA138292NCI NIH HHS P30CA138292
6 · The paper itself

Abstract

backgroundBiomarkers have the potential to guide treatment selection and clinical care in metastatic renal cell carcinoma (mRCC) in an expanding treatment landscape. We report baseline neutrophil-to-eosinophil ratios (NER) in patients with mRCC treated with immune checkpoint inhibitors (CPIs) and their association with clinical outcomes.

methodsWe conducted a retrospective review of patients with mRCC treated with CPIs at Winship Cancer Institute from 2015 to 2020 in the United States of America (USA). Demographics, disease characteristics, and laboratory data, including complete blood counts (CBC) were described at the initiation of CPIs. Clinical outcomes were measured as overall survival (OS), progression-free survival (PFS), and clinical benefit (CB) associated with baseline lab values.

resultsA total of 184 patients were included with a median follow-up time of 25.4 months. Patients with baseline NER were categorized into high or low subgroups; high group was defined as NER >49.2 and low group was defined as NER <49.2 with 25% of patients in the high NER group. Univariate analyses (UVA) and multivariable analyses (MVA) identified decreased overall survival (OS) associated with elevated NER. In MVA, patients with a high baseline NER group had a hazard ratio (HR) of 1.68 (95%CI, 1.01-2.82, P = .048) for OS; however, there was no significant difference between groups for PFS. Clinical benefit was seen in 47.3% of patients with low baseline NER and 40% with high NER.

conclusionsWe conclude that elevated baseline NER may be associated with worse clinical outcomes in mRCC. Although results require further validation, NER is a feasible biomarker in patients with CPI-treated mRCC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsEosinophilsHumansImmune Checkpoint InhibitorsNeutrophilsRetrospective StudiesImmune Checkpoint Inhibitorsbiomarkercheckpoint inhibitorimmunotherapynivolumabrenal cell carcinoma

Identifiers

PMID36427017
PMCPMC10020802

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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.