Evidence map›Paper›PMID 34127546›Full record

ArticleJournal for immunotherapy of cancer2021

Association between body mass index, dosing strategy, and efficacy of immune checkpoint inhibitors.

Murtaza Ahmed, Mitchell S von Itzstein, Thomas Sheffield, Shaheen Khan, Farjana Fattah, Jason Y Park, Vinita Popat, Jessica M Saltarski, Yvonne Gloria-McCutchen, David Hsiehchen and 7 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Observational
  5. Review
  6. Metabolic syndrome and immune-related adverse events.Cancer immunology, immunotherapy : CII · 2026
    Article
  7. Review
  8. The Role of Body Mass Index in Determining the Efficacy of Nivolumab for Patients with Advanced Non-Small Cell Lung Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
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  11. Observational
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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

17 authors.

Murtaza Ahmed *School of Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-2964-1069
Mitchell S von Itzstein *Department of Internal Medicine (Division of Hematology-Oncology), The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Thomas SheffieldDepartment of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Shaheen KhanDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Farjana FattahHarold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jason Y ParkDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Vinita PopatSchool of Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jessica M SaltarskiHarold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Yvonne Gloria-McCutchenHarold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
David HsiehchenDepartment of Internal Medicine (Division of Hematology-Oncology), The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jared OstmeyerDepartment of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0003-0405-6987
Saad A KhanDepartment of Internal Medicine (Division of Hematology-Oncology), The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Nazima SultanaHarold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Yang XieDepartment of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Quan-Zhen LiDepartment of Immunology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, USA.
Edward K WakelandDepartment of Immunology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, USA.
David E GerberDepartment of Internal Medicine (Division of Hematology-Oncology), The University of Texas Southwestern Medical Center, Dallas, Texas, USA David.Gerber@utsouthwestern.edu.

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HEYMACH, JOHN V., MINNA, JOHN D. · 1996 to 2024
$57.4M
UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MELANIE H. COBB · 2010 to 2026
$53.7M
Finding the optimal balance of immunotherapy efficacy and toxicity.U01AI156189 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC, WAKELAND, EDWARD K. · 2020 to 2024
$3.1M
Development of New Cancer Treatments and InvestigatorsK24CA201543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC · 2016 to 2020
$737k
NCI NIH HHS K24 CA201543NCI NIH HHS P30 CA142543NCI NIH HHS P50 CA070907NIAID NIH HHS U01 AI156189
6 · The paper itself

Abstract

backgroundIncreased body mass index (BMI) has been associated with improved response to immune checkpoint inhibitors (ICIs) in multiple cancer types. We evaluated associations between BMI, ICI dosing strategy, and clinical outcomes.

methodsWe abstracted clinical data on patients with cancer treated with ICI, including age, sex, cancer type, BMI, ICI type, dosing strategy (weight-based or fixed), radiographic response, overall survival (OS), and progression-free survival (PFS). We compared clinical outcomes between low-BMI and high-BMI populations using Kaplan-Meier curves, Cox regressions, and Pearson product-moment correlation coefficients.

resultsA total of 297 patients were enrolled, of whom 40% were women and 59% were overweight (BMI≥25). Of these, 204 (69%) received fixed and 93 (31%) received weight-based ICI dosing. In the overall cohort, overweight BMI was associated with improved PFS (HR 0.69; 95% CI 0.51 to 0.94; p=0.02) and had a trend toward improved OS (HR 0.77; 95% CI 0.57 to 1.04; p=0.08). For both endpoints, improved outcomes in the overweight population were limited to patients who received weight-based ICI dosing (PFS HR 0.53; p=0.04 for weight-based; vs HR 0.79; p=0.2 for fixed dosing) (OS HR 0.56; p=0.03 for weight-based; vs HR 0.89; p=0.54 for fixed dosing). In multivariable analysis, BMI was not associated with PFS or OS. However, the interaction of BMI≥25 and weight-based dosing had a trend toward association with PFS (HR 0.53; 95% CI 0.26 to 1.10; p=0.09) and was associated with OS (HR 0.50; 95% CI 0.25 to 0.99; p=0.05). Patients with BMI<25 tended to have better outcomes with fixed-dose compared with weight-based ICI, while patients with BMI≥25 tended to have better outcomes with weight-based ICI, although these differences did not achieve statistical significance. There was no association between radiographic response and BMI with fixed-dose ICI (p=0.97), but a near-significant trend with weight-based ICI (p=0.1). In subset analyses, the association between BMI, ICI dosing strategy, and clinical outcomes appeared limited to men.

conclusionsThe clinical benefit of ICI in high-BMI populations appears limited to individuals receiving weight-based ICI dosing. Further research into optimal ICI dosing strategies may be warranted.

Indexed as

Body Mass IndexAdultAgedAged, 80 and overBiomarkers, PharmacologicalFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedProspective StudiesBiomarkers, PharmacologicalImmune Checkpoint Inhibitorsimmunotherapyobesityprogrammed cell death 1 receptorTh1-Th2 balancetumortumor microenvironment

Identifiers

PMID34127546
PMCPMC8237749

What OpenQuestion holds

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Registered trials

None linked

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.