본문으로 건너뛰기
← 뒤로

Evolution of multiple myeloma from a genomic perspective.

1/5 보강
Blood 📖 저널 OA 38.1% 2025: 19/41 OA 2026: 52/153 OA 2025~2026 2026 Vol.147(13) p. 1423-1432
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
환자: high risk of progressing into MM
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Therefore, integrating genomic and transcriptomic data with immune profiling or other clinical features is essential for identifying patients with high risk of progressing into MM. Here, we highlight the complexity of myelomagenesis, and underline the importance of state-of-the-art approaches for improved disease prediction.

Maura F, Samur M, Munshi N

📝 환자 설명용 한 줄

In this review, we explore the role of complex interactions between genomic evolution, environmental and genetic predispositions, and immune surveillance in disease progression from precursor conditio

이 논문을 인용하기

↓ .bib ↓ .ris
APA Maura F, Samur M, Munshi N (2026). Evolution of multiple myeloma from a genomic perspective.. Blood, 147(13), 1423-1432. https://doi.org/10.1182/blood.2024026313
MLA Maura F, et al.. "Evolution of multiple myeloma from a genomic perspective.." Blood, vol. 147, no. 13, 2026, pp. 1423-1432.
PMID 41359792 ↗

Abstract

In this review, we explore the role of complex interactions between genomic evolution, environmental and genetic predispositions, and immune surveillance in disease progression from precursor conditions smoldering multiple myeloma and monoclonal gammopathy of undetermined significance to multiple myeloma (MM). MM has been described to be universally preceded by precursor states, often decades before it is even diagnosed. Genetic predisposition plays an important role in the initial transformation, and is driven by both germline variants and MM-specific loci influencing risk. The reported disparities in occurrence of precursor conditions and MM among racial groups highlights the role of predisposition and the need for broader cohort studies. Early genomic events, such as translocations and hyperdiploidy, are essential in precursor initiation. However, additional factors are usually needed to transform the precursor stages into symptomatic disease, such as positive selection of subclonal populations. This process is affected by aging and environmental factors, such as exposures to Agent Orange and agrochemicals. Therefore, integrating genomic and transcriptomic data with immune profiling or other clinical features is essential for identifying patients with high risk of progressing into MM. Here, we highlight the complexity of myelomagenesis, and underline the importance of state-of-the-art approaches for improved disease prediction.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반

🟢 PMC 전문 열기