Distinct Clinical and Prognostic Features of Myelodysplastic Syndrome in Patients from the Middle East, North Africa, and Beyond: A Systemic Review

Al-Haidose, Amal; Yassin, Mohamed A; Ahmed, Muna; Kunhipurayil, Hasna; Al-Harbi, Asrar A.; Aljaberi, Musheer A.; Kordasti, Shahram; Abdallah, Atiyeh M.

doi:10.3390/jcm12082832

Cited by 3 publications

(1 citation statement)

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“…Systematic review study of MDS from Middle Asia and North Africa (MENA) regions demonstrated high prevalence of MDS MLD followed by MDS‐EB2 and MDS SLD. MDS 5q and MDS‐RS are similar to Armenian patients subgroup 20 . Discrepancy of MDS subtypes between Caucasus region, Asian region, North African region, and French region as country of European region could be explained by different genetic features, geographical, environmental, and acquired factors 21 …”

Section: Discussionmentioning

confidence: 88%

MDS/CMML from resource‐limited region: Characteristics and comparison to tertiary reference European center

Sevoyan,

Mekinian,

Chermat

et al. 2023

European J of Haematology

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IntroductionMyelodysplastic Syndromes (MDS) and Chronic Myelomonocytic Leukemia (CMML) are clonal myeloid malignancies, characterized by bone marrow failure leading to cytopenias (and possible myeloproliferation for CMML) and a high propensity to evolve to Acute Myeloid Leukemia (AML).Objective and MethodsThe aim of our retrospective study was to evaluate the clinical and hematological features; the prevalence of MDS subtypes, R‐IPSS, and the outcome of 106 Armenian MDS/CMML patients diagnosed over the 2008–2020 period in a single Armenian Hematology center and compare them to French MDS patients included in the GFM registry.ResultsMedian age in the Armenian cohort was 64 years (range 19–84) and 55% were males. The main MDS subtypes were MDS‐MLD (29.2%) and MDS‐SLD (27.3%), the least frequent was del 5q (0.9%). By comparison, a higher prevalence of MDS‐MLD, MDS‐EB2, and MDS‐RS was found in the French cohort. Armenian patients’ cohort generally had poor access to standard MDS treatment and 42.3% of the patients were transfusion dependent. Overall survival, however, did not significantly differ between Armenian and French cohorts.ConclusionOur study stresses issues regarding epidemiology, access to diagnosis, difficulties of risk stratification, and access to treatment.

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Section: Discussionmentioning

confidence: 88%

MDS/CMML from resource‐limited region: Characteristics and comparison to tertiary reference European center

Sevoyan,

Mekinian,

Chermat

et al. 2023

European J of Haematology

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The landscape of genetic variations in non-syndromic primary ovarian insufficiency in the MENA region: a systematic review

Allouch,

Al-Barazenji,

Al-Shafai

et al. 2024

Front. Endocrinol.

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IntroductionPremature ovarian insufficiency (POI) is a primary cause of infertility with variable clinical manifestations. POI is a multifactorial disease with both environmental and known genetic etiologies, but data on the genetic variations associated with POI in the Middle East and North Africa (MENA) region are scarce. The aim of this study was to systematically review all known genetic causes of POI in the MENA region.MethodsThe PubMed, Science Direct, ProQuest, and Embase databases were searched from inception to December 2022 for all reports of genetic variants associated with POI in the MENA region. Clinical and genetic data were collected from eligible articles, and ClinVar and PubMed (dbSNP) were searched for variants.ResultsOf 1,803 studies, 25 met the inclusion criteria. Fifteen studies were case-control studies and ten were case reports representing 1,080 non-syndromic POI patients in total. Seventy-nine variants in 25 genes associated with POI were reported in ten MENA countries. Of the 79 variants, 46 were rare and 33 were common variants. Of the 46 rare variants, 19 were pathogenic or likely pathogenic according to ACMG classification guidelines and ClinVar. No clear phenotype-genotype association was observed. Male family members carrying pathogenic variants also had infertility problems.DiscussionTo our best knowledge, this is the first systematic review of the genetic variants associated with POI in the MENA region. Further functional studies are needed to assess the disease-causing molecular mechanisms of these variants. Knowledge of the genetic basis of POI in the Middle East could facilitate early detection of the condition and thus early implementation of therapeutic interventions, paving the way for precision medicine options in specific populations.

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Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects

Elshoeibi,

Badr,

Elsayed

et al. 2023

Cancers

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Myelodysplastic syndrome (MDS) is composed of diverse hematological malignancies caused by dysfunctional stem cells, leading to abnormal hematopoiesis and cytopenia. Approximately 30% of MDS cases progress to acute myeloid leukemia (AML), a more aggressive disease. Early detection is crucial to intervene before MDS progresses to AML. The current diagnostic process for MDS involves analyzing peripheral blood smear (PBS), bone marrow sample (BMS), and flow cytometry (FC) data, along with clinical patient information, which is labor-intensive and time-consuming. Recent advancements in machine learning offer an opportunity for faster, automated, and accurate diagnosis of MDS. In this review, we aim to provide an overview of the current applications of AI in the diagnosis of MDS and highlight their advantages, disadvantages, and performance metrics.

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Distinct Clinical and Prognostic Features of Myelodysplastic Syndrome in Patients from the Middle East, North Africa, and Beyond: A Systemic Review

Cited by 3 publications

References 49 publications

MDS/CMML from resource‐limited region: Characteristics and comparison to tertiary reference European center

MDS/CMML from resource‐limited region: Characteristics and comparison to tertiary reference European center

The landscape of genetic variations in non-syndromic primary ovarian insufficiency in the MENA region: a systematic review

Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects

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