Evidence map›Paper›PMID 41891012›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Comprehensive detection of genetic and epigenetic alterations in cancer using long reads with TumorLens.

Luis F Paulin, Minyi Shi, Yilei Fu, Xinchang Zheng, George Au-Yeung, David Bowtell, Jieming Chen, Yuxin Liang, Christian Hammer, Fritz J Sedlazeck

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

10 authors.

Luis F PaulinHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-2567-3773
Minyi ShiDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Yilei FuHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.ORCID 000-0002-7721-7027
Xinchang ZhengHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0001-5739-861X
George Au-YeungPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
David BowtellPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Jieming ChenComputational Sciences, Oncology Bioinformatics, Genentech, South San Francisco, CA, USA.ORCID 0000-0003-3767-9486
Yuxin LiangDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.ORCID 0000-0002-1143-423X
Christian HammerDepartment of Human Genetics, Genentech, South San Francisco, CA, USA.ORCID 0000-0003-4548-7548
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0001-6040-2691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately resolving the full spectrum of somatic alterations remains a major barrier in cancer genomics. Current short-read sequencing methods often prioritize SNVs and copy-number changes while overlooking SVs, haplotype-specific events, and epigenetic dysregulation. To bridge this gap, we present TumorLens, the first unified long-read framework that jointly detects SNVs, indels, SVs, large CNVs, loss-of-heterozygosity, and CpG methylation in a single assay. TumorLens introduces purity-aware long-read CNV/LoH modeling and personalized HLA-locus reconstruction, enabling the mechanistic interpretation of immune escape through allele-specific methylation profiling. Benchmarked across GIAB standards and clinical cohorts, TumorLens accurately recovered key somatic events, including interferon locus disruptions and HLA loss. Furthermore, it revealed pervasive global hypomethylation alongside focal hypermethylation in critical oncogenic pathways. By consolidating multi-omic layers into an end-to-end analytic pipeline, TumorLens establishes a new standard for comprehensive tumor profiling, accelerating the translation of long-read sequencing into precision oncology.

Identifiers

PMID41891012
PMCPMC13015642

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.