Evidence map›Paper›PMID 42282549›Full record

ArticlebioRxiv : the preprint server for biology2026

Germline regulation of tumor evolutionary dynamics shapes multiple myeloma progression.

Hai Chen, Jingmin Shu, Rekha Mudappathi, Panwen Wang, Leif Bergsagel, Ping Yang, Zhifu Sun, Changxin Shi, Li Liu

Abstract readPreprint
PubMed Full text at PMC Publisher
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

9 authors.

Hai ChenCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.
Jingmin ShuCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.
Rekha MudappathiCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.
Panwen WangDepartment of Quantitative Health Sciences, Mayo Clinic, Arizona, Scottsdale, 85259, USA.
Leif BergsagelMayo Clinic, Scottsdale, AZ, USA.
Ping YangDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ 85259, USA.
Zhifu SunDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Changxin ShiDivision of Hematology/Oncology, Department of Medicine, Mayo Clinic, Scottsdale, AZ 85259, USA.
Li LiuCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0003-4002-7497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germline variation shapes cancer risk, yet its influence on the evolutionary dynamics of established tumors remains poorly understood. In multiple myeloma, subclonal diversification drives disease progression and treatment failure, but the heritable factors that modulate this process are unknown. Here, we show that germline variation is associated with tumor evolutionary features, implicating inherited regulation in subclonal expansion. Integrating germline variation with tumor evolutionary parameters identifies variants associated with evolutionary features, with signals enriched in regulatory regions, consistent with a transcriptional basis. We further identify

Indexed as

Cancer EvolutionCancer GenomicsComputational Biology

Identifiers

PMID42282549
PMCPMC13252094

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.