Skip to main content

Research Repository

Advanced Search

All Outputs (155)

Effect of radiotherapy after mastectomy and axillary surgery on 10-year recurrence and 20-year breast cancer mortality: meta-analysis of individual patient data for 8135 women in 22 randomised trials (2014)
Journal Article
EBCTCG (Early Breast Cancer Trialists' Collaborative Group), & Ellis, I. (2014). Effect of radiotherapy after mastectomy and axillary surgery on 10-year recurrence and 20-year breast cancer mortality: meta-analysis of individual patient data for 8135 women in 22 randomised trials. Lancet, 383(9935), 2127-2135. https://doi.org/10.1016/s0140-6736%2814%2960488-8

Assessment of microtubule-associated protein (MAP)-Tau expression as a predictive and prognostic marker in TACT; a trial assessing substitution of sequential docetaxel for FEC as adjuvant chemotherapy for early breast cancer (2014)
Journal Article
Irshad, S., Gillett, C., Pinder, S. E., A’Hern, R. P., Dowsett, M., Ellis, I. O., …Ellis, P. (2014). Assessment of microtubule-associated protein (MAP)-Tau expression as a predictive and prognostic marker in TACT; a trial assessing substitution of sequential docetaxel for FEC as adjuvant chemotherapy for early breast cancer. Breast Cancer Research and Treatment, 144(2), 331-341. https://doi.org/10.1007/s10549-014-2855-4

DNA polymerase β deficiency is linked to aggressive breast cancer: A comprehensive analysis of gene copy number, mRNA and protein expression in multiple cohorts (2014)
Journal Article
Abdel-Fatah, T. M., Russell, R., Agarwal, D., Moseley, P., Abayomi, M. A., Perry, C., …Madhusudan, S. (2014). DNA polymerase β deficiency is linked to aggressive breast cancer: A comprehensive analysis of gene copy number, mRNA and protein expression in multiple cohorts. Molecular Oncology, 8(3), 520-532. https://doi.org/10.1016/j.molonc.2014.01.001

Clinicopathological significance of human apurinic/apyrimidinic endonuclease 1 (APE1) expression in oestrogen-receptor-positive breast cancer (2014)
Journal Article
Abdel-Fatah, T. M. A., Perry, C., Moseley, P., Johnson, K., Arora, A., Chan, S., …Madhusudan, S. (2014). Clinicopathological significance of human apurinic/apyrimidinic endonuclease 1 (APE1) expression in oestrogen-receptor-positive breast cancer. Breast Cancer Research and Treatment, 143(3), 411-421. https://doi.org/10.1007/s10549-013-2820-7

Oestrogen metabolites can induce oxidative DNA base damage and generate potentially mutagenic apurinic sites (AP sites) in the genomic DNA. If unrepaired, mutagenic AP sites could drive breast cancer pathogenesis and aggressive phenotypes. Human apur... Read More about Clinicopathological significance of human apurinic/apyrimidinic endonuclease 1 (APE1) expression in oestrogen-receptor-positive breast cancer.

C-Met in invasive breast cancer: is there a relationship with the basal-like subtype? (2013)
Journal Article
Ho-Yen, C. M., Green, A. R., Brentnall, A. R., Rakha, E. A., Ellis, I. O., Kermorgant, S., & Jones, J. L. (2014). C-Met in invasive breast cancer: is there a relationship with the basal-like subtype?. Cancer, 120(2), 163-171. https://doi.org/10.1002/cncr.28386

BACKGROUND Basal‐like (BL) breast cancer is an aggressive form of breast cancer with limited treatment options. Recent work has identified BL breast cancer as a biologically distinct form of triple‐negative breast cancer, with a worse outlook. The... Read More about C-Met in invasive breast cancer: is there a relationship with the basal-like subtype?.

A "non-parametric" version of the naive Bayes classifier (2011)
Journal Article
Soria, D., Garibaldi, J. M., Ambrogi, F., Biganzoli, E. M., & Ellis, I. O. (2011). A "non-parametric" version of the naive Bayes classifier. Knowledge-Based Systems, 24(6), https://doi.org/10.1016/j.knosys.2011.02.014

Many algorithms have been proposed for the machine learning task of classication. One of the simplest methods, the naive Bayes classifyer, has often been found to give good performance despite the fact that its underlying assumptions (of independence... Read More about A "non-parametric" version of the naive Bayes classifier.

Expression of thioredoxin system and related peroxiredoxin proteins is associated with clinical outcome in radiotherapy treated early stage breast cancer (2011)
Journal Article
Woolston, C. M., Storr, S. J., Ellis, I. O., Morgan, D. A., & Martin, S. G. (2011). Expression of thioredoxin system and related peroxiredoxin proteins is associated with clinical outcome in radiotherapy treated early stage breast cancer. Radiotherapy and Oncology, 100(2), 308-313. https://doi.org/10.1016/j.radonc.2011.05.029

Background and purpose Deregulated redox systems provide cancer cells protection from increased oxidative stress, such as that induced by ionizing radiation. Expression of the thioredoxin system proteins (thioredoxin, thioredoxin reductase and thior... Read More about Expression of thioredoxin system and related peroxiredoxin proteins is associated with clinical outcome in radiotherapy treated early stage breast cancer.

Calpain-1 expression is associated with relapse-free survival in breast cancer patients treated with trastuzumab following adjuvant chemotherapy (2011)
Journal Article
Storr, S. J., Woolston, C. M., Barros, F. F., Green, A. R., Shehata, M., Chan, S. Y., …Martin, S. G. (2011). Calpain-1 expression is associated with relapse-free survival in breast cancer patients treated with trastuzumab following adjuvant chemotherapy. International Journal of Cancer, 129(7), 1773-1780. https://doi.org/10.1002/ijc.25832

The calpain family, and their endogenous inhibitor calpastatin, has been implicated in cancer progression, and recent in vitro data have indicated a role in trastuzumab resistance. The aims of our study were to examine expression levels of calpastati... Read More about Calpain-1 expression is associated with relapse-free survival in breast cancer patients treated with trastuzumab following adjuvant chemotherapy.

Redox Protein Expression Predicts Radiotherapeutic Response in Early-Stage Invasive Breast Cancer Patients (2011)
Journal Article
Woolston, C. M., Al-Attar, A., Ellis, I. O., Storr, S. J., Morgan, D. A., & Martin, S. G. (2011). Redox Protein Expression Predicts Radiotherapeutic Response in Early-Stage Invasive Breast Cancer Patients. International Journal of Radiation Oncology - Biology - Physics, 79(5), 1532-1540. https://doi.org/10.1016/j.ijrobp.2010.11.002

Purpose Early-stage invasive breast cancer patients have commonly undergone breast-conserving surgery and radiotherapy. In a large majority of these patients, the treatment is effective; however, a proportion will develop local recurrence. Deregul... Read More about Redox Protein Expression Predicts Radiotherapeutic Response in Early-Stage Invasive Breast Cancer Patients.

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients (2010)
Journal Article
Soria, D., Garibaldi, J. M., Ambrogi, F., Green, A. R., Powe, D., Rakha, E., …Ellis, I. O. (2010). A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Computers in Biology and Medicine, 40(3), https://doi.org/10.1016/j.compbiomed.2010.01.003

Single clustering methods have often been used to elucidate clusters in high dimensional medical data, even though reliance on a single algorithm is known to be problematic. In this paper, we present a methodology to determine a set of ‘core classes’... Read More about A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.

A comparison of three different methods for classification of breast cancer data (2008)
Presentation / Conference Contribution
Soria, D., Garibaldi, J. M., Biganzoli, E. M., & Ellis, I. O. (2008). A comparison of three different methods for classification of breast cancer data.

The classification of breast cancer patients is of great importance in cancer diagnosis. During the last few years, many algorithms have been proposed for this task. In this paper, we review different supervised machine learning techniques for classi... Read More about A comparison of three different methods for classification of breast cancer data.

Total loss of MHC class I is an independent indicator of good prognosis in breast cancer (2005)
Journal Article
Madjd, Z., Spendlove, I., Pinder, S. E., Ellis, I. O., & Durrant, L. G. (2005). Total loss of MHC class I is an independent indicator of good prognosis in breast cancer. International Journal of Cancer, 117(2), https://doi.org/10.1002/ijc.21163

Tumours can be recognised by CTL and NK cells. CTL recognition depends on expression of MHC Class I loaded with peptides from tumour antigens. In contrast, loss of MHC Class I results in NK activation. In our study a large set of samples from patient... Read More about Total loss of MHC class I is an independent indicator of good prognosis in breast cancer.