Evidence map›Paper›PMID 35102139›Full record

ArticleBlood cancer journal2022

Genomic characterization of functional high-risk multiple myeloma patients.

Cinnie Yentia Soekojo, Tae-Hoon Chung, Muhammad Shaheryar Furqan, Wee Joo Chng

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 38 citations in OpenAlex.

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  5. CD8Blood neoplasia · 2026
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  10. [Value of gene mutation in the prognosis and treatment of multiple myeloma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2025
    Review
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  17. Refining High-Risk Multiple Myeloma: Advancements in Genomic, Clinical, and Prognostic Criteria.Mediterranean journal of hematology and infectious diseases · 2025
    Review
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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

4 authors at 1 institution in 1 country.

Cinnie Yentia Soekojo *Department of Hematology-Oncology, National University Cancer Institute, National University Health System, Singapore, Singapore.
Tae-Hoon Chung *Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Muhammad Shaheryar FurqanCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Wee Joo ChngDepartment of Hematology-Oncology, National University Cancer Institute, National University Health System, Singapore, Singapore. mdccwj@nus.edu.sg.ORCID http://orcid.org/0000-0003-2578-8335
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) patients with suboptimal response to induction therapy or early relapse, classified as the functional high-risk (FHR) patients, have been shown to have poor outcomes. We evaluated newly-diagnosed MM patients in the CoMMpass dataset and divided them into three groups: genomic high-risk (GHR) group for patients with t(4;14) or t(14;16) or complete loss of functional TP53 (bi-allelic deletion of TP53 or mono-allelic deletion of 17p13 (del17p13) and TP53 mutation) or 1q21 gain and International Staging System (ISS) stage 3; FHR group for patients who had no markers of GHR group but were refractory to induction therapy or had early relapse within 12 months; and standard-risk (SR) group for patients who did not fulfill any of the criteria for GHR or FHR. FHR patients had the worst survival. FHR patients are characterized by increased mutations affecting the IL-6/JAK/STAT3 pathway, and a gene expression profile associated with aberrant mitosis and DNA damage response. This is also corroborated by the association with the mutational signature associated with abnormal DNA damage response. We have also developed a machine learning based classifier that can identify most of these patients at diagnosis.

Indexed as

AgedChromosome AberrationsDNA DamageFemaleHumansMaleMiddle AgedMultiple MyelomaMutationPrognosisRisk AssessmentTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID35102139
PMCPMC8803925
OpenAlexW4213448829

What OpenQuestion 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 OpenQuestion graph.