Evidence map›Paper›PMID 41749858›Full record

ArticleCancers2026

Allostatic Load Predicts Immune-Related Toxicity and Survival in Melanoma Patients Receiving Immune Checkpoint Inhibitors.

Jie Shen, Yufan Guan, Chase Myers, Roger T Anderson, Elizabeth M Gaughan, Hua Zhao

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Review
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

6 authors.

Jie ShenDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Yufan GuanDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Chase MyersDivision of Hematology & Oncology, Department of Medicine, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Roger T AndersonDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Elizabeth M GaughanDivision of Hematology & Oncology, Department of Medicine, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Hua ZhaoDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
Homologous recombination repair capacity in peripheral blood lymphocytes as a breast cancer risk factorU01CA260731 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI LIU, SONG, ZHAO, HUA · 2022 to 2025
$2.5M
Racial/ethnic disparity in breast cancer: can metabolic profiles play a role?U01CA179655 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZHAO, HUA · 2013 to 2017
$1.7M
Mitochondrial dysfunction and chronic stress intersect as mechanisms driving breast cancer racial disparitiesR21CA267975 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI SHOCK, LISA SALE, ZHAO, HUA · 2022 to 2023
$396k
National Cancer Center U01CA179655National Cancer Center U01CA260731NCI NIH HHS P30 CA044579NCI NIH HHS R21 CA267975NCI NIH HHS U01 CA179655NCI NIH HHS U01 CA260731
6 · The paper itself

Abstract

backgroundHost physiological factors may influence immune response, treatment tolerance, and survival during immune checkpoint inhibitor (ICI) therapy. Allostatic load (AL) summarizes cumulative physiological dysregulation across multiple biological systems. We evaluated whether pre-treatment AL is associated with immune-related toxicity and clinical outcomes among patients with advanced melanoma receiving ICIs.

methodsWe analyzed 399 patients with melanoma treated with ICIs at the University of Virginia Cancer Center (2013-2025). AL was derived from routinely collected clinical laboratory biomarkers measured prior to treatment initiation. Multinominal logistic and Cox regression models assessed associations between AL and immune-related adverse events (irAEs), treatment response, disease progression, and overall survival (OS), adjusting for demographic, clinical, and treatment factors.

resultsThe mean AL score was 4.43. Each 1-unit increase in AL was associated with higher odds of grade ≥ 2 toxicity (adjusted odds ratio [OR] = 1.30; 95% confidence interval [CI]: 1.08-1.57). Among patients who developed irAEs, higher AL was associated with poorer treatment response (adjusted OR = 1.24; 95% CI: 1.01-1.54) and increased risk of disease progression (adjusted hazard ratio [HR] = 1.14; 95% CI: 0.98-1.33). Higher AL was also associated with shorter OS, with a 26% higher mortality risk per 1-unit increase in AL (adjusted HR = 1.26; 95% CI: 1.14-1.39).

conclusionsHigher pre-treatment AL was associated with increased immune-related toxicity and poorer survival in melanoma patients treated with ICIs. AL represents a feasible pre-treatment marker of host physiological vulnerability that may complement existing clinical predictors. Prospective studies are needed to validate these findings and assess clinical utility.

Indexed as

allostatic loadimmunotherapymelanomaoutcomes

Identifiers

PMID41749858
PMCPMC12938773

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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.