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Myelodysplastic Syndrome - Epidemiology Forecast to 2034

Published Date : 2025
Pages : 114
Region : United States, Japan, EU4 & UK
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myelodysplastic syndrome epidemiology forecast insight

DelveInsight’s ‘Myelodysplastic Syndrome (MDS) - Market Insights, Epidemiology and Market Forecast– 2034’ report delivers an in-depth understanding of the MDS, historical and forecasted epidemiology as well as the MDS market trends in the United States, EU5 (Germany, Spain, Italy, France, and United Kingdom), and Japan.

Geography Covered

  • The United States
  • EU5 (Germany, France, Italy, Spain, and the United Kingdom)
  • Japan

Study Period: 2021-2034

Myelodysplastic Syndrome Disease Understanding

Myelodysplastic Syndrome Overview

Myelodysplastic syndrome (MDS) is a heterogeneous group of hematologic neoplasms classically described as a clonal disorder of hematopoietic stem cells leading to dysplasia and ineffective hematopoiesis in the bone marrow. In MDS, also known as myelodysplasia, the bone marrow cells do not develop into mature blood cells; instead, these cells stay within the bone marrow in an immature state. There are many subtypes of MDS; some cases are mild, while others are more severe and carry a high risk of becoming acute myelogenous leukemia (AML). The subtype and the severity case depend on many factors, including how low the blood counts are and any genetic changes in bone marrow cells. MDS and aplastic anemia (AA) and Paroxysmal nocturnal hemoglobinuria (PNH), are bone marrow failure diseases. Bone marrow failure occurs when the marrow does not produce enough red cells, white cells, or platelets, or the produced blood cells are damaged or defective. This means the body cannot supply itself with the blood it needs.

 

MDS may be de novo or related to prior use of chemotherapeutic agents, also known as treatment-related MDS (t-MDS). The actual preceding factor(s) for de novo MDS is not entirely understood but assumed to occur from an oncogenic process resulting in one or more somatic mutations. Over recent years, much insight has been gained into mutations that are commonly altered in MDS due to advances and the rapid availability of gene sequencing. With these developments, researchers can identify one or more driver mutations in up to 80─90% of patients with some of the most common ones, including SF3B1, TET2, SRSF2, ASXL1, DNMT3A, RUNX1, U2AF1, TP53, and EZH2. RUNX1, for example, is a mutation noted to disrupt normal hematopoiesis. More than 100 genes are recurrently mutated in MDS, and these encode spliceosome components, chromatin remodeling factors, epigenetic pattern modulators, and transcription factors, among others.

Myelodysplastic Syndrome Epidemiology

The disease epidemiology covered in the report provides historical as well as forecasted epidemiology segmented by Total Incident Population of MDS, Age-specific Incident Population of MDS, Subtype-specific Incident Population of MDS, Risk-specific Incident Population of MDS, and Mutation-specific Incident Population of MDS in the United States, EU5 countries (Germany, France, Italy, Spain, and United Kingdom), and Japan.

 

Key Findings

This section provides glimpse of the MDS epidemiology in the 7MM.

  • In 2020, the incident population of MDS in the 7MM was 41,586.
  • Epidemiology assessed for MDS showed that the US, in 2020, accounted for approximately 20,428 incident cases of MDS.
  • In the United States, in 2020, there were 240, 1,070, 3,654, 7,283 and 8,181 cases, in the age groups 0–49 years, 50–59 years, 60–69 years, 70–79 years, and 80+ years, respectively.
  • As per the estimates, in the United States, there were 6,741, 1,021, 2,043, 6,333, 3,064, and 1,226 cases of RAEB/MDS-EB, del(5q) MDS, MDS-RS/RARS, MDS-MLD/RCMD, MDS-SLD/RCUD, and MDS-U subtypes in 2020, respectively.
  • In 2020, there were 4,903, 2,043, 817, 2,043, 2,554, 1,839, 4,086, 2,860, 817, and 1,021 cases, for the mutation SF3B1, SRSF2, U2AF1, DNMT3A, RUNX1 TP53, TET2, ASXL1, ZRSR2, and IDH2 respectively, in the US.
  • In the US, based on the IPSS scoring, Low-risk MDS and High-risk MDS accounted for the highest and lowest cases, respectively, in 2020. On the other hand, based on the IPSS-R scoring, Low-risk MDS and Very high-risk MDS accounted for the highest and lowest cases, respectively, in 2020.
  • Among the EU-5 countries in 2020, Germany had the highest incident population of MDS patients with 4,515 cases, followed by France (4,371) and UK (3,302). In contrast, Spain had the lowest cases (2,010) in 2020.
  • As per the estimates, Japan accounted for 3,909 incident MDS cases in 2020.

Country Wise- Myelodysplastic Syndrome Epidemiology

The epidemiology segment also provides the Myelodysplastic Syndrome epidemiology data and findings across the United States, EU5 (Germany, France, Italy, Spain, and the United Kingdom) and Japan.

Scope of the Report

  • The report covers the descriptive overview of Myelodysplastic Syndrome, explaining its causes, signs and symptoms, pathophysiology.
  • The report provides insight into historical and forecasted patient pool covering the United States, EU5 countries (Germany, France, Italy, Spain, and United Kingdom) and Japan.
  • The report assesses the disease risk and burden and highlights the unmet needs of Myelodysplastic Syndrome.

Report Highlight

  • Ten Year Forecast of Myelodysplastic Syndrome
  • 7MM Coverage
  • Delvelnsight has analysed incident population of Myelodysplastic Syndrome in the 7MM which suggests that the patient pool will increase during the forecast period of 2025-2034.
  • Age-specific data of MDS suggests that incidence of MDS in the US, was highest in the age group of 80+ years, followed by 70–79 years and 60–69 years.
  • The scope of the report also encompasses another major segment, i.e., mutation-specific incidence MDS, wherein the number of patients suffering from mutations of  SF3B1, SRSF2, U2AF1, DNMT3A, RUNX1 TP53, TET2, ASXL1, ZRSR2, and IDH2 were calculated.
  • There are sub- types of MDS considered in this report include MDS can be broadly categorized into the following subtypes: RAEB/MDS-EB, del(5q) MDS, MDS-RS/RARS, MDS-MLD/RCMD, MDS-SLD/RCUD, and MDS-U.

Analyst Comments

  • The incident rates differ slightly in the 7MM countries, with the highest incidence observed in the US and the least in Japan.
  • The incidence rates differ vastly among different age groups, with low incidence observed in the younger population (1–3 per 100,000 people per year) compared to the older population (20–30 per 100,000 people per year).
  • However, MDS patients are slightly younger in the age in Japan as compared to the patients in western countries.
  • In countries such as Germany and Japan, where ageing population declines during the forecast year, we have assumed a minimal increase in growth of MDS cases.

Key Questions Answered

Epidemiology Insights:

  • What is the disease risk, burden and unmet needs of Myelodysplastic Syndrome?
  • What is the historical Myelodysplastic Syndrome patient pool in the United States, EU5 (Germany, France, Italy, Spain, and the UK), and Japan?
  • What would be the forecasted patient pool of Myelodysplastic Syndrome in the 7MM?
  • What will be the growth opportunities across the 7MM with respect to the patient population pertaining to Myelodysplastic Syndrome?
  • Out of the above-mentioned countries, which country would have the highest incident population of Myelodysplastic Syndrome during the forecast period (2025-2034)?
  • At what CAGR the population is expected to grow across the 7MM during the forecast period (2025-2034)?

Reasons to buy

The Myelodysplastic Syndrome report will allow the user to -

  • Develop business strategies by understanding the trends shaping and driving the 7MM Myelodysplastic Syndrome market.
  • Quantify patient share distribution in the 7MM for Myelodysplastic Syndrome.
  • The Myelodysplastic Syndrome epidemiology report and model were written and developed by Masters and Ph.D. level epidemiologists.
  • The Myelodysplastic Syndrome epidemiology model developed by DelveInsight is easy to navigate, interactive with dashboards, and epidemiology based on transparent and consistent methodologies. Moreover, the model supports data presented in the report and showcases disease trends over the Ten-year forecast period using reputable sources.

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