Evidence map›Paper›PMID 40021663›Full record

ArticleNature communications2025

Pan-cancer multi-omic model of LINE-1 activity reveals locus heterogeneity of retrotransposition efficiency.

Alexander Solovyov, Julie M Behr, David Hoyos, Eric Banks, Alexander W Drong, Bryan Thornlow, Jimmy Z Zhong, Enrique Garcia-Rivera, Wilson McKerrow, Chong Chu and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Alexander Solovyov *Halvorsen Center for Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. solovyova@mskcc.org.
Julie M Behr *ROME Therapeutics, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0001-8601-4902
David HoyosHalvorsen Center for Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Eric BanksROME Therapeutics, Inc., Boston, MA, USA.
Alexander W DrongROME Therapeutics, Inc., Boston, MA, USA.
Bryan ThornlowROME Therapeutics, Inc., Boston, MA, USA.
Jimmy Z ZhongROME Therapeutics, Inc., Boston, MA, USA.
Enrique Garcia-RiveraROME Therapeutics, Inc., Boston, MA, USA.
Wilson McKerrowROME Therapeutics, Inc., Boston, MA, USA.
Chong ChuROME Therapeutics, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0002-0796-2339
Cedric ArisdakessianROME Therapeutics, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0001-5255-0942
Dennis M ZallerROME Therapeutics, Inc., Boston, MA, USA.
Junne KamiharaDivision of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2852-7387
Liyang DiaoROME Therapeutics, Inc., Boston, MA, USA.
Menachem FromerROME Therapeutics, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0003-3749-4342
Benjamin D GreenbaumHalvorsen Center for Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. greenbab@mskcc.org.ORCID http://orcid.org/0000-0001-6153-8793

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Modulating anti-HIV immunity by plasmacytoid dendritic cellsR01AI081848 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BHARDWAJ, NINA · 2010 to 2021
$4.5M
Understanding the Relationship of Repeat Expression and MetastasisR01CA240924 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GREENBAUM, BENJAMIN, TING, DAVID TSAI · 2019 to 2023
$3.3M
A Statistical Physics Framework for Understanding the Role of Repeat RNA in Tumor ImmunityU01CA228963 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI GREENBAUM, BENJAMIN, TING, DAVID TSAI · 2020 to 2024
$3.2M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA240924NCI NIH HHS U01 CA228963NIAID NIH HHS R01 AI081848U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30CA008748U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01AI081848U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA228963
6 · The paper itself

Abstract

Somatic mobilization of LINE-1 (L1) has been implicated in cancer etiology. We analyzed a recent TCGA data release comprised of nearly 5000 pan-cancer paired tumor-normal whole-genome sequencing (WGS) samples and ~9000 tumor RNA samples. We developed TotalReCall an improved algorithm and pipeline for detection of L1 retrotransposition (RT), finding high correlation between L1 expression and "RT burden" per sample. Furthermore, we mathematically model the dual regulatory roles of p53, where mutations in TP53 disrupt regulation of both L1 expression and retrotransposition. We found those with Li-Fraumeni Syndrome (LFS) heritable TP53 pathogenic and likely pathogenic variants bear similarly high L1 activity compared to matched cancers from patients without LFS, suggesting this population be considered in attempts to target L1 therapeutically. Due to improved sensitivity, we detect over 10 genes beyond TP53 whose mutations correlate with L1, including ATRX, suggesting other, potentially targetable, mechanisms underlying L1 regulation in cancer remain to be discovered.

Indexed as

Long Interspersed Nucleotide ElementsNeoplasmsAlgorithmsGene Expression Regulation, NeoplasticHumansLi-Fraumeni SyndromeMultiomicsMutationTumor Suppressor Protein p53Whole Genome SequencingTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID40021663
PMCPMC11871128

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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.