An association between cancer type and delirium incidence in Japanese elderly patients: A retrospective longitudinal study
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.5069
Abstract: There is not a known elevated prevalence of delirium in older adult cancer patients. However, it is unknown if the incidence of delirium varies by cancer type among older adult patients. Therefore, this study aimed… read more here.
Keywords: cancer; incidence; delirium; cancer type ... See more keywords
Identification of cancer-type specific expression patterns for active aldehyde dehydrogenase (ALDH) isoforms in ALDEFLUOR assay
Sign Up to like & getrecommendations! Published in 2018 at "Cell Biology and Toxicology"
DOI: 10.1007/s10565-018-9444-y
Abstract: Aldehyde dehydrogenases (ALDHs) defend intracellular homeostasis by catalyzing the conversion of toxic aldehydes into non-toxic carboxylic acids, which is of particular importance to the self-renewal of stem cells and cancer stem cells. The widely used… read more here.
Keywords: aldh isoforms; cancer type; aldefluor assay; expression ... See more keywords
Use of Inpatient Palliative Care by Type of Malignancy.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of palliative medicine"
DOI: 10.1089/jpm.2018.0003
Abstract: BACKGROUND Although mounting evidence supports the use of palliative care (PC) to improve care experiences and quality of life for oncology patients, the frequency of and factors associated with PC use during oncology-related hospitalizations remain… read more here.
Keywords: use; cancer type; type; care ... See more keywords
An evolution-based machine learning to identify cancer type-specific driver mutations
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac593
Abstract: Identifying cancer type-specific driver mutations is crucial for illuminating distinct pathologic mechanisms across various tumors and providing opportunities of patient-specific treatment. However, although many computational methods were developed to predict driver mutations in a type-specific… read more here.
Keywords: cancer; specific driver; type specific; cancer type ... See more keywords
Multiple cancer type classification by small RNA expression profiles with plasma samples from multiple facilities
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Science"
DOI: 10.1111/cas.15309
Abstract: Liquid biopsy is expected to be a promising cancer screening method because of its low invasiveness and the possibility of detecting multiple types in a single test. In the last decade, many studies on cancer… read more here.
Keywords: classification; cancer type; small rna; multiple facilities ... See more keywords
Cancer type predicts alloimmunization following RhD‐incompatible RBC transfusions
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DOI: 10.1111/trf.13999
Abstract: Immunosuppressed, RhD‐negative oncology patients tend to have lower rates of sensitization to the D antigen when they receive transfusion with RhD‐positive blood components. Clinical factors associated with alloimmunization to the D antigen in RhD‐negative oncology… read more here.
Keywords: type predicts; predicts alloimmunization; cancer type; rhd ... See more keywords
The Association between the Risk of Esophageal Cancer and Type 2 Diabetes Mellitus: An Updated Meta-Analysis
Sign Up to like & getrecommendations! Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/8129771
Abstract: Background A large amount of publications had reported the association between incidence of esophageal cancer (EC) and type 2 diabetes mellitus (T2DM) in the past decade. However, those papers' results are inconsistent on relationships between… read more here.
Keywords: esophageal; esophageal cancer; cancer type; risk ... See more keywords
Abstract 4299: Gene expression based machine learning classifier to predict and validate cancer type in patient derived xenograft (PDX) models
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-4299
Abstract: Patient derived xenografts (PDX) are increasingly utilized in translational research and drug development. Characterizing the genomic features of PDX is essential to establishing reliable models for cancer research. Despite great interest, problems remain in PDX… read more here.
Keywords: patient derived; cancer type; pdx models; cancer ... See more keywords
Exosome Profiling Pinpoints Cancer Type.
Sign Up to like & getrecommendations! Published in 2020 at "Cancer discovery"
DOI: 10.1158/2159-8290.cd-nb2020-083
Abstract: A study shows that analyzing the protein contents of exosomes and related extracellular vesicles can distinguish tumors from nearby noncancerous tissue, and profiling extracellular vesicle proteins obtained from plasma may also reveal cancer type. The… read more here.
Keywords: profiling pinpoints; cancer type; cancer; pinpoints cancer ... See more keywords
methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder
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DOI: 10.1186/s12859-020-3516-8
Abstract: Background Recently, DNA methylation has drawn great attention due to its strong correlation with abnormal gene activities and informative representation of the cancer status. As a number of studies focus on DNA methylation signatures in… read more here.
Keywords: cancer; dataset; cancer type; methcancer gen ... See more keywords
Cancer type prediction based on copy number aberration and chromatin 3D structure with convolutional neural networks
Sign Up to like & getrecommendations! Published in 2018 at "BMC Genomics"
DOI: 10.1186/s12864-018-4919-z
Abstract: BackgroundWith the developments of DNA sequencing technology, large amounts of sequencing data have been produced that provides unprecedented opportunities for advanced association studies between somatic mutations and cancer types/subtypes which further contributes to more accurate… read more here.
Keywords: cancer; cancer type; copy number; convolutional neural ... See more keywords