Cancer papers

Myelodysplastic syndromes (MDS) research papers

Papers tagged to Myelodysplastic syndromes (MDS). Adjust filters if you want a narrower scope.

4 papersSorted by most recent

Topics

Diagnosis

Modality

Not listed

Study type

Not listed

Abstract

Abstract not available.

Authors

Mohammad Radwanur Talukder, Emily Kovacev, Bill Stavreski, Sarah DeLacey

AI-generated summary

Summary not available yet.

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Primary source: PubMed.

Tumor-associated neutrophils in renal cell carcinoma.
Frontiers in immunology • 2026-01-01 • DOI: 10.3389/fimmu.2026.1755401
Peer-reviewedImpact 69

Topics

Treatment, Biology / Mechanism, Outcomes / Survival, Prevention / Risk

Modality

Immunotherapy, Targeted therapy, Biomarker / Liquid biopsy, Imaging

Study type

Review / Meta-analysis

Abstract

Renal cell carcinoma (RCC) is an immunogenic tumor in which tumor-associated neutrophils (TANs) and neutrophil extracellular traps (NETs) represent a functionally important component of the tumor microenvironment. Recent studies have revealed pronounced phenotypic heterogeneity of RCC-infiltrating neutrophils, including interferon-responsive, immunosuppressive PMN-MDSC-like, pro-angiogenic, and NET-forming…

Authors

Olga V Kovaleva, Vasiliy V Sinyov, Madina A Rashidova, Olga S Malashenko +1

AI-generated summary

Tumor-associated neutrophils in renal cell carcinoma. reports: Renal cell carcinoma (RCC) is an immunogenic tumor in which tumor-associated neutrophils (TANs) and neutrophil extracellular traps (NETs) represent a functionally important component of the tumor microenvironment. Recent studies have revealed pronounced phenotypic heterogeneity of RCC-infiltrating neutrophils, including interferon-responsive, immunosuppressive PMN-MDSC-like, pro-angiogenic, and NET-forming subsets that cannot be adequately described by the classical N1/N2 model. Their polarization is shaped by ELR + CXC chemokines (CXCL1, CXCL8), cytokine signals, systemic inflammation, hypoxia driven by VHL/HIF pathways, and tumor-intrinsic oncogenic alterations such as PTEN loss, ERβ- and c-Myc-dependent programs, as well as epigenetic remodeling.

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Primary source: PubMed.

Cancer and Post-therapy Cardiotoxicity Risk in Adolescents, Young Adults, and Adults with Down Syndrome
oncology • 2025-02-23 • DOI: 10.1101/2025.02.21.25322697 • Published in 10.1002/cph4.70037
PreprintImpact 59

Topics

Treatment, Screening / Early detection, Outcomes / Survival, Side effects / Toxicity, Prevention / Risk, Epidemiology

Modality

Imaging

Study type

Observational, Review / Meta-analysis

Abstract

The median life expectancy of people with Down syndrome has increased substantially over the past several decades, from 4 years in 1970 to 53 years in 2010. Despite the recent improvement in survival, there is little data about the prevalence of age-related diseases, including…

Authors

Buckman, M., Vasileva, A., Jedlicka, C., Vasilyev, M. +4

AI-generated summary

Cancer and Post-therapy Cardiotoxicity Risk in Adolescents, Young Adults, and Adults with Down Syndrome reports: The median life expectancy of people with Down syndrome has increased substantially over the past several decades, from 4 years in 1970 to 53 years in 2010. Despite the recent improvement in survival, there is little data about the prevalence of age-related diseases, including age-related malignancies, and the impact of standard cancer treatments on cardiovascular health. We retrospectively reviewed medical records for age- and sex-matched patients [≥]15 years old with and without Down syndrome using the TriNetX platform to identify the prevalence of malignancies and explore cardiovascular outcomes after treatment with anthracyclines. This is a preprint and not peer reviewed.

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Primary source: medRxiv (not peer reviewed).

PreprintImpact 42

Topics

Diagnosis

Modality

Imaging

Study type

Review / Meta-analysis

Abstract

The diagnosis of myelodysplastic neoplasms (MDS) requires examination of the bone marrow for morphologic evidence of dysplasia. We sought to determine if a self-supervised learning (SSL) AI image analysis approach may be utilized to reliably distinguish MDS from its clinically relevant mimics using bone…

Authors

Mehrtash, V., Le, H., Jafarzadeh, B., Loghavi, S. +3

AI-generated summary

Self-Supervised Learning Can Distinguish Myelodysplastic Neoplasms from Clinical Mimics Using Bone Marrow Biopsies reports: The diagnosis of myelodysplastic neoplasms (MDS) requires examination of the bone marrow for morphologic evidence of dysplasia. We sought to determine if a self-supervised learning (SSL) AI image analysis approach may be utilized to reliably distinguish MDS from its clinically relevant mimics using bone marrow biopsies (BMBx). Whole slide images (WSIs) of H&E- and reticulin-stained BMBx sections from 243 unique patients (89 MDS, 55 non-MDS cytopenic controls [NMCC], and 99 negative control [NC] cases) were segmented into tiles and analyzed. This is a preprint and not peer reviewed.

This summary may be inaccurate. Verify with the primary paper.

Primary source: medRxiv (not peer reviewed).