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- Flejmer, Anna M., et al.
(författare)
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Analytical Anisotropic Algorithm versus Pencil Beam Convolution for treatment planning of breast cancer: implications for target coverage and radiation burden of normal tissue
- 2015
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Ingår i: Anticancer Research. - : International Institute of Anticancer Research. - 0250-7005 .- 1791-7530. ; 35:5, s. 2841-2848
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Tidskriftsartikel (refereegranskat)abstract
- Aim: The present study aimed to investigate the implications of using the analytical anisotropic algorithm (AAA) for calculation of target coverage and radiation burden of normal tissues. Most model parameters, recommendations and planning guidelines associated with a certain outcome are from the era of pencil beam convolution (PBC) calculations on relatively simple assumptions of energy transport in media. Their relevance for AAA calculations that predict more realistic dose distributions needs to be evaluated. Patients and Methods: Forty patients with left-sided breast cancer receiving 3D conformal radiation therapy were planned using PBC with a standard protocol with 50 Gy in 25 fractions according to existing re-commendations. The plans were subsequently recalculated with the AAA and relevant dose parameters were determined and compared to their PBC equivalents. Results: The majority of the AAA-based plans had a significantly worse coverage of the planning target volume and also a higher maximum dose in hotspots near sensitive structures, suggesting that these criteria could be relaxed for AAA-calculated plans. Furthermore, the AAA predicts higher volumes of the ipsilateral lung will receive doses below 25 Gy and smaller volume doses above 25 Gy. These results indicate that lung tolerance criteria might also have to be relaxed for AAA planning in order to maintain the level of normal tissue toxicity. The AAA also predicts lower doses to the heart, thus indicating that this organ might be more sensitive to radiation than thought from PBC-based calculations. Conclusion: The AAA should be preferred over the PBC algorithm for breast cancer radiotherapy as it gives more realistic dose distributions. Guidelines for plan acceptance might have to be re-evaluated to account for differences in dose predictions in order to maintain the current levels of control and complication rates. The results also suggest an increased radiosensitivity of the heart, thus indicating that a revision of the current models for cardiovascular complications may be needed.
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| 2. |
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| 3. |
- Lewin, Nongnit, et al.
(författare)
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The Influence of Single Nucleotide Polymorphisms and Adjuvant Radiotherapy on Systemic Inflammatory Proteins, Chemokines and Cytokines of Patients With Breast Cancer
- 2019
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Ingår i: Anticancer Research. - : INT INST ANTICANCER RESEARCH. - 0250-7005 .- 1791-7530. ; 39:3, s. 1287-1292
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Tidskriftsartikel (refereegranskat)abstract
- Independently of tumour and treatment modulation, the host immune response status plays an important role in the clinical outcome of patients with cancer. The influence of single nucleotide polymorphisms (SNPs) and adjuvant radiotherapy (RT) on the systemic immune response status of patients with breast cancer was investigated. Materials and Methods: Eighty-six female patients recovering from breast cancer surgery were investigated. As a control cohort, 82 healthy female blood donors were used. Blood-based SNPs, plasma C-reactive protein (CRP), cytokines and chemokines were analyzed for this purpose. Results: Independently of tumour stage and hormone receptor status, dysregulation of plasma CRP, chemokine (C-C motif) ligand 4 (CCL4) and interleukin 2 (IL2), but not CCL5, CCL2, platelet-derived growth factor, IL6, IL10, IL12, interferon-gamma or tumour necrosis factor alpha were detected in the patients when compared to controls. The extent of alteration in plasma levels of CRP and IL2 patients was significantly associated with SNPs in CRP rs1800947 and IL2 rs6822844, respectively. These SNPs had no influence on the levels of corresponding plasma biomarkers in the healthy controls. Adjuvant RT reduced plasma CRP and CCL5 levels in patients with regards to CRP rs1800947CC, CCL5 rs2107538GG and CCL5 rs2280789AA sequences. Conclusion: Dysregulation of immune responses, as indicated by plasma levels of CRP, CCL4 and IL2 were found in patients with breast cancer despite the removal of the tumour mass. The benefit of adjuvant RT, as indicated by reduced plasma amounts of inflammatory protein CRP and chemokine CCL5 were based on the SNPs of the patients. Analyses of blood-based SNPs, plasma CRP, IL2 and CCL5 are low cost, rapid and can be carried out using general laboratory facilities while requiring only a peripheral blood sample. The possibility of using these blood-based biomarkers as an indicator of patient immune status for selection of individual patient treatment warrants further investigation.
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| 4. |
- Oliva, Delmy, 1967-, et al.
(författare)
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Individual genetic variation might predict acute skin reactions in women undergoing adjuvant breast cancer radiotherapy
- 2018
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Ingår i: Anticancer Research. - : International Institute of Anticancer Research. - 0250-7005 .- 1791-7530. ; 38:12, s. 6763-6770
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Tidskriftsartikel (refereegranskat)abstract
- Adverse skin reactions during radiotherapy (RT) are common. The aim of this study was to explore whether genetic variation might be linked to acute radiation skin reactions (ARSR). Materials and Methods: One hundred and nineteen women undergoing adjuvant RT for breast cancer were included. The symptoms of itching, burning and irritation were self-reported twice using the visual analogue scale. Assessments used the Radiation Therapy Oncology Group scoring system for acute RT skin reaction (RTOG scale). Blood-based single nucleotide polymorphism (SNP) analysis was performed. Thirty SNPs of well-defined functional genes were investigated. Results: All women were assessed with ARSR. After RT, the women self-reported itching (n=97), burning (n=64) and irritation (n=96). Two SNPs in X-Ray Repair Cross Complementing 2 gene (XRCC2) rs2040639 and interferon gamma (IFNG) rs2069705 genes were found to be associated with ARSR. Conclusion: An association between two SNPs and ARSR was found. The possibility of using these SNPs as prognostic biomarkers for ARSR as tools to improve the care of patients needs further investigation.
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