Evidence map›Paper›PMID 42842712›Full record

ArticlePLoS pathogens2026

KSHV K15 genetic heterogeneity is associated with Kaposi sarcoma aggressiveness through modulation of the host inflammatory microenvironment.

Yu Zhang, Peng Wang, Jingzhan Zhang, Yunying Wang, Tingting Li, Yuan Ding, Xiaojing Kang

Abstract read
In one paragraph

Article in PLoS pathogens, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yu ZhangDepartment of Dermatology and Venereology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.ORCID https://orcid.org/0009-0005-2420-9604
Peng WangDepartment of Dermatology and Venereology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Jingzhan ZhangDepartment of Dermatology and Venereology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Yunying WangDepartment of Dermatology and Venereology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Tingting LiDepartment of Dermatology and Venereology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Yuan DingDepartment of Dermatology and Venereology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Xiaojing KangDepartment of Dermatology and Venereology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.ORCID https://orcid.org/0000-0002-3081-406X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kaposi sarcoma (KS) exhibits profound clinical heterogeneity, yet current risk assessment remains constrained by anatomical staging systems that lack universality across diverse KS variants. This study characterized the functional impact of Kaposi's sarcoma-associated herpesvirus (KSHV) K15 genotypes (M or P) on clinical aggressiveness in a retrospective cohort of 156 patients from Xinjiang, China. To enable unified analysis, we operationalized disease extent into a harmonized binary framework-categorized as localized or disseminated-by integrating anatomical criteria from the ACTG and Krigel classifications. Using causal mediation analysis to quantify the "Genotype-Inflammation-Edema" association, we identified the K15 M-genotype (72.8%) was independently associated with a hyper-inflammatory phenotype. This revealed a Viral-Clinical Paradox: despite significantly lower HIV coinfection rates compared to P-carriers (10.3% vs. 27.5%; P = 0.009), M-carriers exhibited an elevated Systemic Immune-Inflammation Index (SII) and severe clinical edema. Mediation analysis confirmed that the SII significantly mediated 29.0% (P = 0.009) of the genotype-associated effect on edema. To translate these biological insights into clinical utility, a six-factor prognostic nomogram was developed using LASSO regression, maintaining an events-per-variable ratio of 11.2. The model demonstrated robust discrimination (Concordance Index, 0.761) and significantly outperformed traditional anatomical observation (AUC, 0.830 vs. 0.563; P = 0.003). Risk stratification successfully identified distinct subgroups, separating patients with rapid progression (median progression-free survival: 11.0 months) from those with favorable outcomes (40.0 months; P < 0.0001). Our results suggest that the K15 M-genotype is associated with increased KS severity via intrinsic inflammatory activation, independent of host immunodeficiency. Integrating viral genotyping into clinical assessment may shift KS management from anatomical observation toward biology-driven precision oncology, identifying high-risk patients who may benefit from early systemic or anti-inflammatory interventions.

Indexed as

Herpesvirus 8, HumanInflammationSarcoma, KaposiTumor MicroenvironmentAdultFemaleGenetic HeterogeneityGenotypeHumansMaleMiddle AgedPrognosisRetrospective Studies

Identifiers

PMID42842712
PMCPMC13660985

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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.