Browsing by Subject "LOCAL RECURRENCE"

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  • Kiiski, Juha; Kuokkanen, Hannu O.; Kääriäinen, Minna; Kaartinen, Ilkka S.; Pakarinen, Toni-Karri; Laitinen, Minna K. (2018)
    Background: Sacrectomy is a rare and demanding surgical procedure that results in major soft tissue defects and spinopelvic discontinuity. No consensus is available on the optimal reconstruction algorithm. Therefore, the present study evaluated the results of sacrectomy reconstruction and its impact on patients' quality of life (QOL). Methods: A retrospective chart review was conducted for 21 patients who underwent sacrectomy for a primary bone tumour. Patients were divided into groups based on the timing of reconstruction as follows: no reconstruction, immediate reconstruction or delayed reconstruction. QOL was measured using the EQ-5D instrument before and after surgery in patients treated in the intensive care unit. Results: The mean patient age was 57 (range 22-81) years. The most common reconstruction was gluteal muscle flap (n =9) and gluteal fasciocutaneous flap (n = 4). Four patients required free-tissue transfer, three latissimus dorsi flaps and one vascular fibula bone transfer. No free flap losses were noted. The need for unplanned re-operations did not differ between groups (p =0.397), and no significant differences were found for pre- and post-operative QOL or any of its dimensions. Discussion: Free flap surgery is reliable for reconstructing the largest sacrectomy defects. Even in the most complex cases, surgery can be safely staged, and final reconstruction can be carried out within 1 week of resection surgery without increasing peri-operative complications. Sacrectomy does not have an immoderate effect on the measured QOL. (C) 2018 British Association of Plastic, Reconstructive and Aesthetic Surgeons. Published by Elsevier Ltd. All rights reserved.
  • Zhou, Wenjing; Jirstrom, Karin; Amini, Rose-Marie; Fjallskog, Marie-Louise; Sollie, Thomas; Lindman, Henrik; Sorlie, Therese; Blomqvist, Carl; Warnberg, Fredrik (2013)
  • Xu, Haifeng; Lien, Tonje; Bergholtz, Helga; Fleischer, Thomas; Djerroudi, Lounes; Vincent-Salomon, Anne; Sorlie, Therese; Aittokallio, Tero (2021)
    Ductal carcinoma in situ (DCIS) is a preinvasive form of breast cancer with a highly variable potential of becoming invasive and affecting mortality of the patients. Due to the lack of accurate markers of disease progression, many women with detected DCIS are currently overtreated. To distinguish those DCIS cases who are likely to require therapy from those who should be left untreated, there is a need for robust and predictive biomarkers extracted from molecular or genetic profiles. We developed a supervised machine learning approach that implements multi-omics feature selection and model regularization for the identification of biomarker combinations that could be used to distinguish low-risk DCIS lesions from those with a higher likelihood of progression. To investigate the genetic heterogeneity of disease progression, we applied this approach to 40 pure DCIS and 259 invasive breast cancer (IBC) samples profiled with genome-wide transcriptomics, DNA methylation, and DNA copy number variation. Feature selection using the multi-omics Lasso-regularized algorithm identified both known genes involved in breast cancer development, as well as novel markers for early detection. Even though the gene expression-based model features led to the highest classification accuracy alone, methylation data provided a complementary source of features and improved especially the sensitivity of correctly classifying DCIS cases. We also identified a number of repeatedly misclassified DCIS cases when using either the expression or methylation markers. A small panel of 10 gene markers was able to distinguish DCIS and IBC cases with high accuracy in nested cross-validation (AU-ROC = 0.99). The marker panel was not specific to any of the established breast cancer subtypes, suggesting that the 10-gene signature may provide a subtype-agnostic and cost-effective approach for breast cancer detection and patient stratification. We further confirmed high accuracy of the 10-gene signature in an external validation cohort (AU-ROC = 0.95), profiled using distinct transcriptomic assay, hence demonstrating robustness of the risk signature.
  • Stevenson, Jonathan D.; Laitinen, Minna K.; Parry, Michael C.; Sumathi, Vaiyapuri; Grimer, Robert J.; Jeys, Lee M. (2018)
    Introduction: Chondrosarcoma (CS) is the second most common primary bone sarcoma with no clear role for adjuvant therapy. The purpose of this study was to investigate (1) the relationship between surgical excision margins and local recurrence free survival (LRFS), and (2) the role of local recurrence (LR) in disease specific survival (DSS) in CS of the extremity and pelvis. Material and methods: 341 pelvic and extremity CS diagnosed between 2003 and 2015 were studied retrospectively. Results: LR developed in 23% of cases. Pelvic location, pathologic fracture, margin and grade were significant factors for LR after univariate analysis. Multivariate analysis revealed surgical margin and pelvic location as positive factors for LR, and grade-1 and 2 CS as negative factors for LR. Pathologic fracture, central versus peripheral, grade, and LR were significant factors with univariate analysis for DSS; and grade was significant after multivariate analysis for all patients for DSS. After competing risk analysis, LR was statistically significant for DSS in grade-2 and grade-3 tumors. Conclusion: Surgical margins determine LR in all CS grades, but LR affects DSS only in grade-2 and grade 3 tumors. Although narrow margins are acceptable in grade-1 tumors, since biopsy is unreliable in predicting final grade, a minimum 4-mm margin should be the aim in all cases. (C) 2018 Elsevier Ltd, BASO similar to The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.