Results 181 to 190 of about 414,323 (331)

Early versus delayed autologous stem cell transplant in patients receiving novel therapies for multiple myeloma

open access: green, 2012
Neil Dunavin   +15 more
openalex   +2 more sources

Fat Mass and Obesity‐Associated Protein Contributes to Tumorigenesis and Drug Resistance of Diffuse Large B‐Cell Lymphoma by Suppressing N6‐Methyladenosine Methylation of Myc

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Ibrutinib resistance remains a major obstacle in the treatment of diffuse large B‐cell lymphoma (DLBCL). Fat mass and obesity‐associated protein (FTO) has been implicated in drug resistance through its regulation of N6‐methyladenosine (m6A) modifications; however, whether FTO mediates ibrutinib resistance in DLBCL remains unclear.
Ting‐Ting Lu   +5 more
wiley   +1 more source

A Case of Multiple Myeloma Coexisting with Primary Hyperparathyroidism and Review of the Literature [PDF]

open access: gold, 2013
Nasir Hussain   +6 more
openalex   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik   +3 more
wiley   +1 more source

Reduced relapse rate in upfront tandem autologous/reduced-intensity allogeneic transplantation in multiple myeloma only results in borderline non-significant prolongation of progression-free but not overall survival [PDF]

open access: gold, 2015
H M Lokhorst   +13 more
openalex   +1 more source

Body mass index throughout adulthood, physical activity, and risk of multiple myeloma: A prospective analysis in three large cohorts [PDF]

open access: yes, 2018
Birmann, Brenda M   +8 more
core   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

open access: yesMed Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu   +3 more
wiley   +1 more source

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