Evidence map›Paper›PMID 36737429›Full record

ArticleBlood cancer journal2023

Identification of disease-related aberrantly spliced transcripts in myeloma and strategies to target these alterations by RNA-based therapeutics.

Daisuke Ogiya, Zuzana Chyra, Sigitas J Verselis, Morgan O'Keefe, Jacquelyn Cobb, Ivane Abiatari, Srikanth Talluri, Anjana Anilkumar Sithara, Teru Hideshima, Michael P Chu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

15 authors at 9 institutions in 5 countries.

Daisuke Ogiya *Department of Hematology and Oncology, Tokai University School of Medicine, Isehara, Japan.
Zuzana Chyra *Department of Hemato-oncology, University Hospital Ostrava, Ostrava, Czech Republic.
Sigitas J VerselisMolecular Diagnostic Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA.
Morgan O'KeefeJerome Lipper Multiple Myeloma Disease Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Jacquelyn CobbJerome Lipper Multiple Myeloma Disease Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Ivane AbiatariInstitute of Medical and Public Health Research, School of Medicine, Ilia State University, Tbilisi, Georgia.
Srikanth TalluriMolecular Diagnostic Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA.
Anjana Anilkumar SitharaDepartment of Hemato-oncology, University Hospital Ostrava, Ostrava, Czech Republic.
Teru HideshimaJerome Lipper Multiple Myeloma Disease Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Michael P ChuDepartment of Medicine, Department of Oncology, University of Alberta, Edmonton, AB, Canada.
Roman HájekDepartment of Hemato-oncology, University Hospital Ostrava, Ostrava, Czech Republic.ORCID 0000-0001-6955-6267
David M DorfmanDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Linda M PilarskiDepartment of Medicine, Department of Oncology, University of Alberta, Edmonton, AB, Canada.
Kenneth C AndersonJerome Lipper Multiple Myeloma Disease Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. kenneth_anderson@dfci.harvard.edu.ORCID 0000-0002-6418-0886
Sophia AdamiaJerome Lipper Multiple Myeloma Disease Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. sadamia@bidmc.harvard.edu.ORCID 0000-0001-5704-6040
Harvard University · USUniversity of Ostrava · CZDana-Farber Cancer Institute · USUniversity of Alberta · CABeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USIlia State University · GETokai University · JPVA Boston Healthcare System · US

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C., MUNSHI, NIKHIL C. · 2003 to 2023
$45.0M
NCI NIH HHS P50 CA100707
6 · The paper itself

Abstract

Novel drug discoveries have shifted the treatment paradigms of most hematological malignancies, including multiple myeloma (MM). However, this plasma cell malignancy remains incurable, and novel therapies are therefore urgently needed. Whole-genome transcriptome analyses in a large cohort of MM patients demonstrated that alterations in pre-mRNA splicing (AS) are frequent in MM. This manuscript describes approaches to identify disease-specific alterations in MM and proposes RNA-based therapeutic strategies to eradicate such alterations. As a "proof of concept", we examined the causes of aberrant HMMR (Hyaluronan-mediated motility receptor) splicing in MM. We identified clusters of single nucleotide variations (SNVs) in the HMMR transcript where the altered splicing took place. Using bioinformatics tools, we predicted SNVs and splicing factors that potentially contribute to aberrant HMMR splicing. Based on bioinformatic analyses and validation studies, we provided the rationale for RNA-based therapeutic strategies to selectively inhibit altered HMMR splicing in MM. Since splicing is a hallmark of many cancers, strategies described herein for target identification and the design of RNA-based therapeutics that inhibit gene splicing can be applied not only to other genes in MM but also more broadly to other hematological malignancies and solid tumors as well.

Indexed as

Hematologic NeoplasmsMultiple MyelomaAlternative SplicingHumansRNARNA SplicingRNA

Identifiers

PMID36737429
PMCPMC9898564
OpenAlexW4319161971

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.