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- Kersting, J., et al.
(författare)
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Effect of Radiotherapy Dose on Outcome in Nonmetastatic Sarcoma
- 2023
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Ingår i: Advances in Radiation Oncology. ; 8:4
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Radiation therapy (RT) is an integral part of Ewing sarcoma (EwS) therapy. The Ewing 2008 protocol recommended RT doses ranging from 45 to 54 Gy. However, some patients received other doses of RT. We analyzed the effect of different RT doses on event-free survival (EFS) and overall survival (OS) in patients with EwS.Methods and Materials: The Ewing 2008 database included 528 RT-admitted patients with nonmetastatic EwS. Recommended multimodal therapy consisted of multiagent chemotherapy and local treatment consisting of surgery (S & RT group) and/or RT (RT group). EFS and OS were analyzed with uni-and multivariable Cox regression models including known prognostic factors such as age, sex, tumor volume, surgical margins, and histologic response.Results: S & RT was performed in 332 patients (62.9%), and 145 patients (27.5%) received definitive RT. Standard dose =53 Gy (d1) was admitted in 57.8%, high dose of 54 to 58 Gy (d2) in 35.5%, and very high dose > 59 Gy (d3) in 6.6% of patients. In the RT group, RT dose was d1 in 11.7%, d2 in 44.1%, and d3 in 44.1% of patients. Three-year EFS in the S & RT group was 76.6% for d1, 73.7% for d2, and 68.2% for d3 (P = .42) and in the RT group 52.9%, 62.5%, and 70.3% (P = .63), respectively. Multivariable Cox regression revealed age > 15 years (hazard ratio [HR], 2.68; 95% confidence interval [CI], 1.63-4.38) and nonradical margins (HR, 1.76; 95% CI, 1.05-2.93) for the S & RT group (sex, P = .96; histologic response, P = .07; tumor volume, P = .50; dose, P = .10) and large tumor volume (HR, 2.20; 95% CI, 1.21-4.0) for the RT group as independent factors (dose, P = .15; age, P = .08; sex, P = .40).Conclusions: In the combined local therapy modality group, treatment with higher RT dose had an effect on EFS, whereas higher dose of radiation when treated with definitive RT was associated with an increased OS. Indications for selection biases for dosage were found. Upcoming trials will assess the value of different RT doses in a randomized manner to control for potential selection bias.
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| 2. |
- Murumagi, A, et al.
(författare)
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Drug response profiles in patient-derived cancer cells across histological subtypes of ovarian cancer: real-time therapy tailoring for a patient with low-grade serous carcinoma
- 2023
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Ingår i: British journal of cancer. - : Springer Science and Business Media LLC. - 1532-1827 .- 0007-0920. ; 128:4, s. 678-690
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Tidskriftsartikel (refereegranskat)abstract
- Many efforts are underway to develop novel therapies against the aggressive high-grade serous ovarian cancers (HGSOCs), while our understanding of treatment options for low-grade (LGSOC) or mucinous (MUCOC) of ovarian malignancies is not developing as well. We describe here a functional precision oncology (fPO) strategy in epithelial ovarian cancers (EOC), which involves high-throughput drug testing of patient-derived ovarian cancer cells (PDCs) with a library of 526 oncology drugs, combined with genomic and transcriptomic profiling. HGSOC, LGSOC and MUCOC PDCs had statistically different overall drug response profiles, with LGSOCs responding better to targeted inhibitors than HGSOCs. We identified several subtype-specific drug responses, such as LGSOC PDCs showing high sensitivity to MDM2, ERBB2/EGFR inhibitors, MUCOC PDCs to MEK inhibitors, whereas HGSOCs showed strongest effects with CHK1 inhibitors and SMAC mimetics. We also explored several drug combinations and found that the dual inhibition of MEK and SHP2 was synergistic in MAPK-driven EOCs. We describe a clinical case study, where real-time fPO analysis of samples from a patient with metastatic, chemorefractory LGSOC with a CLU-NRG1 fusion guided clinical therapy selection. fPO-tailored therapy with afatinib, followed by trastuzumab and pertuzumab, successfully reduced tumour burden and blocked disease progression over a five-year period. In summary, fPO is a powerful approach for the identification of systematic drug response differences across EOC subtypes, as well as to highlight patient-specific drug regimens that could help to optimise therapies to individual patients in the future.
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| 3. |
- Plyusnin, A, et al.
(författare)
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Puumala hantavirus genome in patients with nephropathia epidemica: correlation of PCR positivity with HLA haplotype and link to viral sequences in local rodents
- 1997
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Ingår i: Journal of clinical microbiology. - : American Society for Microbiology. - 0095-1137 .- 1098-660X. ; 35:5, s. 1090-1096
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Tidskriftsartikel (refereegranskat)abstract
- Reverse transcription-PCR was used to analyze specimens from 20 Finnish nephropathia epidemica (NE) patients hospitalized during the period from October 1994 to January 1995. Blood and/or urine sediment specimens from seven patients were found to be positive for the genome sequences of Puumala hantavirus (PUU). PCR positivity of the specimens from the patients correlated well with the HLA-DRB1*0301 and HLA B8 alleles, which previously were shown to associate with severe courses of NE. Genetic analysis of the partial M-and/or S-segment sequences obtained from three severely ill NE patients revealed three PUU strains related to but distinct from previously reported strains from Finland. The M-segment sequence of PUU from bank voles trapped near the probable site of infection for one of the patients showed 98.2% identity to that of the PUU strain obtained from the patient, suggesting a link between wild-type PUU from the natural focus and the NE case. The S-segment sequences from the patient and the bank voles, however, showed substantially lower identity (95.8%). As this difference in diversity for M and S genes (1.8 and 4.2%) is atypical for PUU genetic drift, one possibility is that the strain acquired at the putative place of infection is a reassortant one.
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| 7. |
- Dias, J D, et al.
(författare)
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Targeted cancer immunotherapy with oncolytic adenovirus coding for a fully human monoclonal antibody specific for CTLA-4
- 2012
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Ingår i: Gene Therapy. - : Springer Science and Business Media LLC. - 0969-7128 .- 1476-5462. ; 19:10, s. 988-998
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Tidskriftsartikel (refereegranskat)abstract
- Promising clinical results have been achieved with monoclonal antibodies (mAbs) such as ipilimumab and tremelimumab that block cytotoxic T lymphocyte-associated antigen-4 (CTLA-4, CD152). However, systemic administration of these agents also has the potential for severe immune-related adverse events. Thus, local production might allow higher concentrations at the target while reducing systemic side effects. We generated a transductionally and transcriptionally targeted oncolytic adenovirus Ad5/3-Δ24aCTLA4 expressing complete human mAb specific for CTLA-4 and tested it in vitro, in vivo and in peripheral blood mononuclear cells (PBMCs) of normal donors and patients with advanced solid tumors. mAb expression was confirmed by western blotting and immunohistochemistry. Biological functionality was determined in a T-cell line and in PBMCs from cancer patients. T cells of patients, but not those of healthy donors, were activated by an anti-CTLA4mAb produced by Ad5/3-Δ24aCTLA4. In addition to immunological effects, a direct anti-CTLA-4-mediated pro-apoptotic effect was observed in vitro and in vivo. Local production resulted in 43-fold higher (P<0.05) tumor versus plasma anti-CTLA4mAb concentration. Plasma levels in mice remained below what has been reported safe in humans. Replication-competent Ad5/3-Δ24aCTLA4 resulted in 81-fold higher (P<0.05) tumor mAb levels as compared with a replication-deficient control. This is the first report of an oncolytic adenovirus producing a full-length human mAb. High mAb concentrations were seen at tumors with lower systemic levels. Stimulation of T cells of cancer patients by Ad5/3-Δ24aCTLA4 suggests feasibility of testing the approach in clinical trials.
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| 13. |
- Kymn, Christopher J., et al.
(författare)
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Computing with Residue Numbers in High-Dimensional Representation
- 2023
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Annan publikation (populärvet., debatt m.m.)abstract
- We introduce Residue Hyperdimensional Computing, a computing framework that unifies residue number systems with an algebra defined over random, high-dimensional vectors. We show how residue numbers can be represented as high-dimensional vectors in a manner that allows algebraic operations to be performed with component-wise, parallelizable operations on the vector elements. The resulting framework, when combined with an efficient method for factorizing high-dimensional vectors, can represent and operate on numerical values over a large dynamic range using vastly fewer resources than previous methods, and it exhibits impressive robustness to noise. We demonstrate the potential for this framework to solve computationally difficult problems in visual perception and combinatorial optimization, showing improvement over baseline methods. More broadly, the framework provides a possible account for the computational operations of grid cells in the brain, and it suggests new machine learning architectures for representing and manipulating numerical data.
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