Evidence map›Paper›PMID 36230837›Full record

ArticleCancers2022

Circulating Tumor DNA: Less Invasive, More Representative Method to Unveil the Genomic Landscape of Newly Diagnosed Multiple Myeloma Than Bone Marrow Aspirates.

Yang Liu, Jiapei Guo, Yuting Yi, Xuan Gao, Lei Wen, Wenbing Duan, Zhaohong Wen, Yaoyao Liu, Yanfang Guan, Xuefeng Xia and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  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

16 authors at 5 institutions in 1 country.

Yang LiuNational Clinical Research Center for Hematologic Disease, Peking University Institute of Hematology, Peking University People's Hospital, Beijing 100044, China.
Jiapei GuoNHC Key Laboratory of Medical Immunology, Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Yuting YiDepartment of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710039, China.
Xuan GaoState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Lei WenNational Clinical Research Center for Hematologic Disease, Peking University Institute of Hematology, Peking University People's Hospital, Beijing 100044, China.
Wenbing DuanNational Clinical Research Center for Hematologic Disease, Peking University Institute of Hematology, Peking University People's Hospital, Beijing 100044, China.
Zhaohong WenGeneplus-Beijing Technology Limited, Beijing 102206, China.ORCID 0000-0003-4630-8951
Yaoyao LiuGeneplus-Beijing Technology Limited, Beijing 102206, China.
Yanfang GuanDepartment of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710039, China.
Xuefeng XiaGeneplus-Beijing Technology Limited, Beijing 102206, China.
Ling MaNational Clinical Research Center for Hematologic Disease, Peking University Institute of Hematology, Peking University People's Hospital, Beijing 100044, China.
Rong FuDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Lihong LiuDepartment of Hematology, The Fourth Hospital of Hebei Medical University, Hebei 050011, China.
Xiaojun HuangNational Clinical Research Center for Hematologic Disease, Peking University Institute of Hematology, Peking University People's Hospital, Beijing 100044, China.
Qing GeNHC Key Laboratory of Medical Immunology, Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Jin LuNational Clinical Research Center for Hematologic Disease, Peking University Institute of Hematology, Peking University People's Hospital, Beijing 100044, China.ORCID 0000-0001-5004-2741
Peking University · CNAnnoroad Gene Technology (China) · CNChinese Academy of Sciences · CNHebei Medical University · CNTianjin Medical University General Hospital · CN

Funding

Beijing Natural Science Foundation 7202079Capital health development research project 2020-2-4082Foundation for Innovative Research Groups of the National Natural Science Foundation of China 81621001Major Research plan of the National Natural Science Foundation of China 91853202National Natural Science Foundation of China 31671244National Natural Science Foundation of China 31872734National Natural Science Foundation of China 32070897National Natural Science Foundation of China 82170196the Non-Profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2018PT31039
6 · The paper itself

Abstract

Multiple myeloma (MM) is highly heterogenous and dynamic in its genomic abnormalities. Capturing a representative image of these alterations is essential in understanding the molecular pathogenesis and progression of the disease but was limited by single-site invasive bone marrow (BM) biopsy-based genomics studies. We compared the mutational landscapes of circulating tumor DNA (ctDNA) and BM in 82 patients with newly diagnosed MM. A 413-gene panel was used in the sequencing. Our results showed that more than 70% of MM patients showed one or more genes with somatic mutations and at least half of the mutated genes were shared between ctDNA and BM samples. Compared to the BM samples, ctDNA exhibited more types of driver mutations in the shared driver genes, higher numbers of uniquely mutated genes and subclonal clusters, more translocation-associated mutations, and higher frequencies of mutated genes enriched in the transcriptional regulation pathway. Multivariate Cox analysis showed that age, ctDNA mutations in the transcriptional regulation pathway and DNA repair pathway were independent predictors of progression-free survival (PFS). Our results demonstrated sequencing of ctDNA provides more thorough information on the genomic instability and is a potential representative biomarker for risk stratification and in newly diagnosed MM than bone marrow.

Indexed as

circulating tumor DNAmultiple myelomaprognosis

Identifiers

PMID36230837
PMCPMC9563595
OpenAlexW4303700026

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.