International Journal of Cancer

Journal: International Journal of Cancer

Abbreviation

Int J Cancer

Publisher

Wiley-Blackwell

ISSN

0020-7136
1097-0215

Show all metadata

Search Results

Publications 1 - 10 of 16

L1-CAM-targeted antibody therapy and 177Lu-radioimmunotherapy of disseminated ovarian cancer
Fischer, Eliane; Grünberg, Jürgen; Cohrs, Susan; et al. (2012)
International Journal of Cancer
Loss of PBRM1 expression is associated with renal cell carcinoma progression
Pawłowski, Rafal; Mühl, Sarah M.; Sulser, Tullio; et al. (2013)
International Journal of Cancer
An engineered antibody-interleukin-12 fusion protein with enhanced tumor vascular targeting properties
Gafner, Verena; Trachsel, Eveline; Neri, Dario (2006)
International Journal of Cancer
Lysyl oxidase expression is an independent marker of prognosis and a predictor of lymph node metastasis in oral and oropharyngeal squamous cell carcinoma (OSCC)
Albinger-Hegyi, Andrea; Stoeckli, Sandro J.; Schmid, Stephan; et al. (2010)
International Journal of Cancer
Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population-based observational study
Syleouni, Maria-Eleni; Karavasiloglou, Nena; Manduchi, Laura; et al. (2023)
International Journal of Cancer
Breast cancer survivors often experience recurrence or a second primary cancer. We developed an automated approach to predict the occurrence of any second breast cancer (SBC) using patient-level data and explored the generalizability of the models with an external validation data source. Breast cancer patients from the cancer registry of Zurich, Zug, Schaffhausen, Schwyz (N = 3213; training dataset) and the cancer registry of Ticino (N = 1073; external validation dataset), diagnosed between 2010 and 2018, were used for model training and validation, respectively. Machine learning (ML) methods, namely a feed-forward neural network (ANN), logistic regression, and extreme gradient boosting (XGB) were employed for classification. The best-performing model was selected based on the receiver operating characteristic (ROC) curve. Key characteristics contributing to a high SBC risk were identified. SBC was diagnosed in 6% of all cases. The most important features for SBC prediction were age at incidence, year of birth, stage, and extent of the pathological primary tumor. The ANN model had the highest area under the ROC curve with 0.78 (95% confidence interval [CI] 0.750.82) in the training data and 0.70 (95% CI 0.61-0.79) in the external validation data. Investigating the generalizability of different ML algorithms, we found that the ANN generalized better than the other models on the external validation data. This research is a first step towards the development of an automated tool that could assist clinicians in the identification of women at high risk of developing an SBC and potentially preventing it.
Fibronectin as target for tumor therapy
Kaspar, Manuela; Zardi, Luciano; Neri, Dario (2006)
International Journal of Cancer
Engineered vascular-targeting antibody-interferon- fusion protein for cancer therapy
Ebbinghaus, Christina; Ronca, Roberto; Kaspar, Manuela; et al. (2005)
International Journal of Cancer
Non-internalizing antibody-drug conjugates display potent anti-cancer activity upon proteolytic release of monomethyl auristatin E in the subendothelial extracellular matrix.
Gébleux, Rémy; Stringhini, Marco; Casanova, Ruben; et al. (2017)
International Journal of Cancer
Cancer cases attributable to modifiable lifestyle risk factors in Switzerland between 2015 and 2019
Jiang, Xing; Pestoni, Giulia; Vinci, Linda; et al. (2024)
International Journal of Cancer
Several modifiable lifestyle risk factors have been linked to higher cancer risk in the literature. Determining the proportion and number of cancer cases attributable to these risk factors is pivotal in informing effective cancer prevention and control plans that have the greatest effect on reducing cancer incidence. We aimed to estimate the proportion and number of incident cancer cases that were attributable to modifiable lifestyle risk factors (ie, tobacco smoking, high alcohol consumption, excess body weight, physical inactivity and unhealthy diet) in Switzerland between 2015 and 2019. The exposure prevalence of selected risk factors was estimated based on the representative national nutrition survey menuCH, the associated relative risks were obtained from systematic literature reviews and the numbers of incident cancer cases were provided by the National Institute for Cancer Epidemiology and Registration. The fractions and numbers of attributable cases were calculated overall, by sex and by the three major language regions of Switzerland. The investigated modifiable risk factors combined were linked to 25.2% of potentially preventable incident cancer cases in Switzerland between 2015 and 2019. The proportion and numbers were slightly larger in males (28.4%, 6945 cases per year) than in females (21.9%, 4493 cases per year), and variations were observed between language regions. Tobacco smoking, excess body weight and high alcohol consumption were the leading contributors to lifestyle-attributable cancer cases. The observed differences in the leading risk factors both within Switzerland and compared to other countries underline the need for regionally and nationally tailored cancer prevention and education strategies.
The antibody-based targeted delivery of interleukin-4 and 12 to the tumor neo-vasculature eradicates tumors in three mouse models of cancer
Hemmerle, Teresa; Neri, Dario (2014)
International Journal of Cancer

Publications 1 - 10 of 16

Journal: International Journal of Cancer

Abbreviation

Publisher

Journal Volumes

ISSN

Description

Filters

Search Results