Evidence map›Paper›PMID 42146529›Full record

ArticlebioRxiv : the preprint server for biology2026

Retroelement Hypomethylation Links Hypoxia Signaling, Immune Phenotypes, and Survival in Clear Cell Renal Cell Carcinoma.

Chinaza F Nnam, Erick A Mboya, Yiping Li, Minghui Zhang, Fred Kolling, Laurent Perrard, Thomas J Palys, Elizabeth Pflugradt, Patricia A Pioli, Marc Ernstoff and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Chinaza F NnamDepartment of Cancer Biology, Guarini School of Graduate and Advanced Studies, Dartmouth College, Hanover, NH, USA.ORCID 0000-0001-6230-6169
Erick A MboyaDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.
Yiping LiDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.
Minghui ZhangDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.
Fred KollingDartmouth Cancer Center Shared Resources.
Laurent PerrardDartmouth Cancer Center Shared Resources.
Thomas J PalysDartmouth Cancer Center Shared Resources.
Elizabeth PflugradtDartmouth Cancer Center Shared Resources.
Patricia A PioliDepartment of Microbiology and Immunology, Guarini School of Graduate and Advanced Studies, Dartmouth College, Hanover, NH, USA.
Marc ErnstoffDartmouth Hitchcock Medical Center. Lebanon, New Hampshire.
John D SeigneDartmouth Hitchcock Medical Center. Lebanon, New Hampshire.
Jason R PettusDartmouth Hitchcock Medical Center. Lebanon, New Hampshire.
Bing RenDartmouth Hitchcock Medical Center. Lebanon, New Hampshire.
Li SongDepartment of Cancer Biology, Guarini School of Graduate and Advanced Studies, Dartmouth College, Hanover, NH, USA.
Brock C ChristensenDepartment of Cancer Biology, Guarini School of Graduate and Advanced Studies, Dartmouth College, Hanover, NH, USA.
Lucas A SalasDepartment of Cancer Biology, Guarini School of Graduate and Advanced Studies, Dartmouth College, Hanover, NH, USA.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI MICHAEL L WHITFIELD · 2019 to 2026
$27.2M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI SALAS DIAZ, LUCAS A · 2013 to 2022
$23.7M
DNA-based Immune Phenotyping in HNSCC for Biomarkers of Response to ImmunotherapyR01CA253976 · NCI · BROWN UNIVERSITY · PI CHRISTENSEN, BROCK C, KELSEY, KARL TIMOTHY · 2021 to 2025
$3.3M
Methylomic basis of survival disparities among Black and White women with high-grade serous ovarian cancerR01CA275974 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Lauren Cole Peres · 2023 to 2026
$2.6M
Acquisition of the NextSeq2000 Sequencing platform to Increase Next Generation Sequencing Throughput While Reducing Costs at DartmouthS10OD030242 · OD · DARTMOUTH COLLEGE · PI KOLLING IV, FRED W · 2021 to 2021
$321k
10X Genomics Chromium Single-cell Sequencing to Expand Research At DartmouthS10OD025235 · OD · DARTMOUTH COLLEGE · PI TOMLINSON, CRAIG R · 2018 to 2018
$125k
NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA253976NCI NIH HHS R01 CA275974NIGMS NIH HHS P20 GM104416NIGMS NIH HHS P20 GM130454NIH HHS S10 OD025235NIH HHS S10 OD030242
6 · The paper itself

Abstract

Background: Retrotransposable elements (RE) comprise approximately 45% of the human genome and are typically repressed by DNA methylation to preserve genomic integrity. In cancer, global DNA hypomethylation can lead to RE derepression, resulting in genomic instability and activation of innate immune pathways through viral mimicry. While individual RE classes have been examined in clear cell renal cell carcinoma (ccRCC), the integrated epigenetic landscape of multiple RE families and their clinical relevance remain incompletely characterized. Methods: We performed a genome-wide prediction of DNA methylation across three major RE classes (Alu, LINE-1, and LTR elements) using a validated computational framework applied to Illumina methylation array data from two independent ccRCC tumor cohorts. Integrated unsupervised clustering of RE methylation profiles was used to define the epigenetic subtypes. Associations with clinicopathologic variables, tumor immune microenvironment composition (DNA Methylation-derived), hypoxia signaling, innate immune activation, and overall survival were evaluated. Prognostic relevance was assessed using multivariable Cox regression models adjusting for age, sex, AJCC stage or AUA risk group, and immune and angiogenic tumor microenvironment features. Key findings were then externally validated in CPTAC-ccRCC and independently replicated in an institutional Dartmouth Cancer Center (DCC) cohort with matched methylation and RNA-sequencing data. Results: Integrated clustering identified three reproducible RE methylation subtypes, Repressed, Transient, and Active. In the discovery cohort, the Active subtype showed significantly worse overall survival than the Repressed subtype, with a graded survival pattern across RE methylation states that persisted after multivariable adjustment. RE hypomethylation was associated with reduced EPAS1 (HIF2A) expression, increased immune infiltration, elevated PD-1 expression, and heightened cGAS-STING and interferon signaling, consistent with an immune-inflamed yet immunosuppressed tumor state. In the external CPTAC validation cohort, RE methylation subtypes recapitulated key molecular features and showed supportive survival trends. In the independent DCC replication cohort, an Active RE state was again associated with poorer survival, lower EPAS1 expression, increased PD-1 expression, greater CD8 T-cell and Treg infiltration, and elevated T-cell exhaustion signatures, supporting the reproducibility of the prognostic and immune-exhausted phenotype across cohorts. Conclusions: We identified RE methylation subtypes with distinct molecular, immunologic, and prognostic features in ccRCC. External validation in CPTAC and independent replication in DCC support the robustness of this RE methylation framework across large-scale and institutional cohorts. These findings highlight the prognostic potential of RE methylation profiles and support their integration into molecular classification strategies to improve risk stratification in ccRCC.

Indexed as

clear cell renal cell carcinomaDNA methylationhypoxia signalingimmune responseprognosisretroelements

Identifiers

PMID42146529
PMCPMC13174607

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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.