Evidence map›Paper›PMID 38690281›Full record

ArticleFrontiers in immunology2024

Highly variable timing renders immunotherapy efficacy and toxicity impractical biomarkers of one another in clinical practice.

Mitchell S von Itzstein, Yuqiu Yang, Yiqing Wang, David Hsiehchen, Thomas Y Sheffield, Farjana Fattah, Vinita Popat, Murtaza Ahmed, Jade Homsi, Jonathan E Dowell and 7 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Metabolic syndrome and immune-related adverse events.Cancer immunology, immunotherapy : CII · 2026
    Article
  3. Genetic haplotypes inJournal for immunotherapy of cancer · 2025
    Article
  4. Article
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.

Mitchell S von ItzsteinDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.
Yuqiu YangDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Yiqing WangDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States.
David HsiehchenDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.
Thomas Y SheffieldDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Farjana FattahHarold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Vinita PopatSchool of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Murtaza AhmedSchool of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Jade HomsiDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.
Jonathan E DowellDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.
Sawsan RashdanDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.
Jay LohreyDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.
Hans J HammersDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.
Randall S HughesDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.
Tao WangHarold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Yang XieHarold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States.
David E GerberDepartment of Internal Medicine (Division of Hematology-Oncology), Dallas, TX, United States.

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
NCI NIH HHS P30 CA142543NCI NIH HHS P50 CA070907NIAID NIH HHS U01 AI156189
6 · The paper itself

Abstract

Background: A useful clinical biomarker requires not only association but also a consistent temporal relationship. For instance, chemotherapy-induced neutropenia and epidermal growth-factor inhibitor-related acneiform rash both occur within weeks of treatment initiation, thereby providing information prior to efficacy assessment. Although immune checkpoint inhibitor (ICI)-associated immune-related adverse events (irAE) have been associated with therapeutic benefit, irAE may have delayed and highly variable onset. To determine whether ICI efficacy and irAE could serve as clinically useful biomarkers for predicting each other, we determined the temporal relationship between initial efficacy assessment and irAE onset in a diverse population treated with ICI. Methods: Using two-sided Fisher exact and Cochran-Armitage tests, we determined the relative timing of initial efficacy assessment and irAE occurrence in a cohort of 155 ICI-treated patients (median age 68 years, 40% women). Results: Initial efficacy assessment was performed a median of 50 days [interquartile range (IQR) 39-59 days] after ICI initiation; median time to any irAE was 77 days (IQR 28-145 days) after ICI initiation. Median time to first irAE was 42 days (IQR 20-88 days). Overall, 58% of any irAE and 47% of first irAE occurred after initial efficacy assessment. For clinically significant (grade ≥2) irAE, 60% of any and 53% of first occurred after initial efficacy assessment. The likelihood of any future irAE did not differ according to response (45% for complete or partial response vs. 47% for other cases; Conclusions: In contrast to that seen with chemotherapy and molecularly targeted therapies, the temporal relationship between ICI efficacy and toxicity is complex and bidirectional. In practice, neither parameter can be routinely relied on as a clinical biomarker to predict the other.

Indexed as

BiomarkersImmune Checkpoint InhibitorsNeoplasmsAgedFemaleHumansImmunotherapyMaleMiddle AgedTime FactorsTreatment OutcomeBiomarkersImmune Checkpoint Inhibitorsbiomarkerefficacyimmune checkpoint inhibitor (ICI)immune-related adverse event (irAE)immunotherapymonitoringtoxicity

Identifiers

PMID38690281
PMCPMC11058939

What OpenQuestion holds

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Registered trials

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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.