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1.
JCO Clin Cancer Inform ; 7: e2300086, 2023 08.
Article in English | MEDLINE | ID: mdl-37540817

ABSTRACT

PURPOSE: We described information technology support and use of telemedicine for cancer care and research purposes at community oncology practices within the National Cancer Institute Community Oncology Research Program (NCORP). METHODS: We used data from the NCORP 2017 and 2022 Landscape Assessments. Separate logistic regression models were used to assess factors associated with the use of telemedicine for delivery of cancer care in 2017 and for research purposes in 2022 (cancer care delivery not assessed in 2022). RESULTS: Information was available from 210 and 259 practice groups excluding pediatric-only groups in 2017 and 2022, respectively. In 2017, 30% of practice groups used telemedicine for delivery of cancer care; half of these (15% overall) could use telemedicine for research purposes. In 2022, telemedicine was used for research purposes in 73% of practice groups. In multivariable models, self-identifying as a safety-net hospital was associated with a lower odd of telemedicine use for delivery of cancer care (adjusted odds ratio [AOR], 0.39; 95% CI, 0.17 to 0.93), whereas affiliation with a designated critical access hospital was associated with a higher odd of telemedicine use for delivery of cancer care (AOR, 2.29; 95% CI, 1.10 to 4.76). Having a general survivorship clinic (AOR, 1.92; 95% CI, 1.04 to 3.54) and number of oncology providers (increase per 10 providers; AOR, 1.32; 95% CI, 1.05 to 1.65) were associated with telemedicine use for research purposes. CONCLUSION: Almost one third of NCORP practice groups used telemedicine for cancer care delivery in 2017. In 2022, there is high capacity among NCORP practices (almost three-quarters) to use telemedicine for research purposes, especially among practices with a general survivorship clinic and a greater provider number.


Subject(s)
Neoplasms , Telemedicine , Humans , Child , Information Technology , Delivery of Health Care , Neoplasms/diagnosis , Neoplasms/therapy , Medical Oncology
2.
Cancer Med ; 7(9): 4639-4649, 2018 09.
Article in English | MEDLINE | ID: mdl-30094958

ABSTRACT

BACKGROUND: Recruited myeloid cells are known to promote cancer initiation, malignant progression, metastasis, and resistance to therapy in the tumor niche. We tested the hypothesis that circulating blood monocytes from advanced prostate cancer (PCa) patients exhibit a protumor phenotype and directly influence the tumor microenvironment in response to tumor-derived signals. METHODS: Blood monocytes from advanced and stable PCa patients were cultured, and the conditioned media (CM) were collected and analyzed using standard invasion and wound closure assays to measure effects on invasion and motility of PCa tumor cells. We then identified the proteome profile of these monocytes using proteome array and ELISA. RESULTS: Conditioned media from circulating monocytes in patients with metastatic prostate cancer (PCa-M) increased invasion of epithelial PCa cells in vitro. Proteome Profiler Analysis revealed that monocyte-derived CM from metastatic castration-resistant (mCRPC) patients presented high levels of chitinase-3-like 1 (CHI3L1, YKL-40) when compared to patients with stable disease (PCa-N) and healthy control individuals (HC). The only described receptor for CHI3L1, interleukin-13 receptor α2 (IL-13Rα2), was significantly up-regulated in the human metastatic PCa cell line, ARCaPM . Accordingly, we observed that the activation of IL-13Rα2 from PCa-M CM increased the invasiveness of ARCaPM cells while siRNA directed against this receptor significantly reduced invasiveness of these cells in the presence of CM from PCa-M patients. CONCLUSIONS: Thus, we show that circulating monocytes from metastatic PCa patients exert a tumor-promoting role via the secretion of CHI3L1, and CHI3L1 demands further exploration as a possible therapeutic target in advanced PCa.


Subject(s)
Cell Communication , Cell Movement , Epithelial Cells/metabolism , Monocytes/metabolism , Prostatic Neoplasms/metabolism , Cell Line, Tumor , Cell Movement/drug effects , Cells, Cultured , Chitinase-3-Like Protein 1/metabolism , Culture Media, Conditioned/pharmacology , Humans , Interleukin-1beta/metabolism , Male , Prostatic Neoplasms/pathology
3.
Genome ; 60(3): 216-227, 2017 Mar.
Article in English | MEDLINE | ID: mdl-28156137

ABSTRACT

Fluorescence in situ hybridization (FISH) was used to determine the physical location of the (AC)10 microsatellite in metaphase chromosomes of six diploid species (AA or CC genomes), two tetraploid species (AACC genome), and five cultivars of two hexaploid species (AACCDD genome) of the genus Avena, a genus in which genomic relationships remain obscure. A preferential distribution of the (AC)10 microsatellite in the pericentromeric and interstitial regions was seen in both the A- and D-genome chromosomes, while in C-genome chromosomes the majority of signals were located in the pericentromeric heterochromatic regions. New large chromosome rearrangements were detected in two polyploid species: an intergenomic translocation involving chromosomes 17AL and 21DS in Avena sativa 'Araceli' and another involving chromosomes 4CL and 21DS in the analyzed cultivars of Avena byzantina. The latter 4CL-21DS intergenomic translocation differentiates clearly between A. sativa and A. byzantina. Searches for common hybridization patterns on the chromosomes of different species revealed chromosome 10A of Avena magna and 21D of hexaploid oats to be very similar in terms of the distribution of 45S and Am1 sequences. This suggests a common origin for these chromosomes and supports a CCDD rather than an AACC genomic designation for this species.


Subject(s)
Avena/genetics , Chromosomes, Plant/genetics , Gene Rearrangement , Microsatellite Repeats , Repetitive Sequences, Nucleic Acid , Chromosomes, Plant/ultrastructure , DNA, Plant/genetics , DNA, Ribosomal/genetics , Diploidy , Genome, Plant , In Situ Hybridization, Fluorescence , Karyotyping , Mitosis , Nucleic Acid Hybridization , Polyploidy , Temperature , Translocation, Genetic
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