Sir Peter MacCallum Department of Oncology - Research Publications

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    Benign breast disease increases breast cancer risk independent of underlying familial risk profile: Findings from a Prospective Family Study Cohort
    Zeinomar, N ; Phillips, K-A ; Daly, MB ; Milne, RL ; Dite, GS ; MacInnis, RJ ; Liao, Y ; Kehm, RD ; Knight, JA ; Southey, MC ; Chung, WK ; Giles, GG ; McLachlan, S-A ; Friedlander, ML ; Weideman, PC ; Glendon, G ; Nesci, S ; Andrulis, IL ; Buys, SS ; John, EM ; Hopper, JL ; Terry, MB (WILEY, 2019-07-15)
    Benign breast disease (BBD) is an established breast cancer (BC) risk factor, but it is unclear whether the magnitude of the association applies to women at familial or genetic risk. This information is needed to improve BC risk assessment in clinical settings. Using the Prospective Family Study Cohort, we used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of BBD with BC risk. We also examined whether the association with BBD differed by underlying familial risk profile (FRP), calculated using absolute risk estimates from the Breast Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) model. During 176,756 person-years of follow-up (median: 10.9 years, maximum: 23.7) of 17,154 women unaffected with BC at baseline, we observed 968 incident cases of BC. A total of 4,704 (27%) women reported a history of BBD diagnosis at baseline. A history of BBD was associated with a greater risk of BC: HR = 1.31 (95% CI: 1.14-1.50), and did not differ by underlying FRP, with HRs of 1.35 (95% CI: 1.11-1.65), 1.26 (95% CI: 1.00-1.60), and 1.40 (95% CI: 1.01-1.93), for categories of full-lifetime BOADICEA score <20%, 20 to <35%, ≥35%, respectively. There was no difference in the association for women with BRCA1 mutations (HR: 1.64; 95% CI: 1.04-2.58), women with BRCA2 mutations (HR: 1.34; 95% CI: 0.78-2.3) or for women without a known BRCA1 or BRCA2 mutation (HR: 1.31; 95% CI: 1.13-1.53) (pinteraction  = 0.95). Women with a history of BBD have an increased risk of BC that is independent of, and multiplies, their underlying familial and genetic risk.
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    Does stress increase risk of breast cancer? A 15-year prospective study
    Butow, P ; Price, M ; Coll, J ; Tucker, K ; Meiser, B ; Milne, R ; Wilson, J ; Heiniger, L ; Baylock, B ; Bullen, T ; Weideman, P ; Phillips, K-A (WILEY, 2018-08)
    OBJECTIVE: The possible impact of stress on cancer incidence remains controversial. We prospectively evaluated associations between life event stressors, social support, personality characteristics (optimism, anger control, antiemotionality), and risk of developing primary breast cancer (BCa), in women at increased familial risk of BCa. METHODS: A prospective cohort, repeated measures design was used. Recruitment was through the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, which collects genetic, epidemiological, and clinical data from Australasian families with multiple BCa cases. Acute and chronic stressors for the prior 3 years and psychosocial, clinical, and epidemiological variables were measured at cohort entry and at 3-yearly intervals. Cox proportional hazard regression analysis controlling for BCa risk factors and familial clustering was undertaken. The primary outcome was histopathologically confirmed BCa (invasive or ductal carcinoma in situ, including occult cases diagnosed during risk-reducing mastectomy). RESULTS: Of 3595 consecutive women invited to participate, 3054 (85.0%) consented. Of these, 2739 (89.7%) from 990 families (range 1-16 per family) completed at least 1 assessment point. During the study, 103 women were diagnosed with BCa. No stressor or psychosocial variable or interaction between them was significantly associated with BCa in unadjusted or adjusted models (total acute stressors HR = 1.03 [0.99-1.08], P = .19; total chronic stressors HR = 1.0 [0.90-1.11], P = .98). CONCLUSIONS: This study did not demonstrate an association between acute and chronic stressors, social support, optimism, antiemotionality or anger control, and BCa risk. Women should focus on proven methods of BCa risk reduction.
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    Body mass index and breast cancer survival: a Mendelian randomization analysis
    Guo, Q ; Burgess, S ; Turman, C ; Bolla, MK ; Wang, Q ; Lush, M ; Abraham, J ; Aittomaki, K ; Andrulis, IL ; Apicella, C ; Arndt, V ; Barrdahl, M ; Benitez, J ; Berg, CD ; Blomqvist, C ; Bojesen, SE ; Bonanni, B ; Brand, JS ; Brenner, H ; Broeks, A ; Burwinkel, B ; Caldas, C ; Campa, D ; Canzian, F ; Chang-Claude, J ; Chanock, SJ ; Chin, S-F ; Couch, FJ ; Cox, A ; Cross, SS ; Cybulski, C ; Czene, K ; Darabi, H ; Devilee, P ; Diver, WR ; Dunning, AM ; Earl, HM ; Eccles, DM ; Ekici, AB ; Eriksson, M ; Evans, DG ; Fasching, PA ; Figueroa, J ; Flesch-Janys, D ; Flyger, H ; Gapstur, SM ; Gaudet, MM ; Giles, GG ; Glendon, G ; Grip, M ; Gronwald, J ; Haeberle, L ; Haiman, CA ; Hall, P ; Hamann, U ; Hankinson, S ; Hartikainen, JM ; Hein, A ; Hiller, L ; Hogervorst, FB ; Holleczek, B ; Hooning, MJ ; Hoover, RN ; Humphreys, K ; Hunter, DJ ; Husing, A ; Jakubowska, A ; Jukkola-Vuorinen, A ; Kaaks, R ; Kabisch, M ; Kataja, V ; Knight, JA ; Koppert, LB ; Kosma, V-M ; Kristensen, VN ; Lambrechts, D ; Le Marchand, L ; Li, J ; Lindblom, A ; Lindstrom, S ; Lissowska, J ; Lubinski, J ; Machiela, MJ ; Mannermaa, A ; Manoukian, S ; Margolin, S ; Marme, F ; Martens, JWM ; McLean, C ; Menendez, P ; Milne, RL ; Mulligan, AM ; Muranen, TA ; Nevanlinna, H ; Neven, P ; Nielsen, SF ; Nordestgaard, BG ; Olson, JE ; Perez, JIA ; Peterlongo, P ; Phillips, K-A ; Poole, CJ ; Pylkas, K ; Radice, P ; Rahman, N ; Rudiger, T ; Rudolph, A ; Sawyer, EJ ; Schumacher, F ; Seibold, P ; Seynaeve, C ; Shah, M ; Smeets, A ; Southey, MC ; Tollenaar, RAEM ; Tomlinson, I ; Tsimiklis, H ; Ulmer, H-U ; Vachon, C ; van den Ouweland, AMW ; Van't Veer, LJ ; Wildiers, H ; Willett, W ; Winqvist, R ; Zamora, MP ; Chenevix-Trench, G ; Dork, T ; Easton, DF ; Garcia-Closas, M ; Kraft, P ; Hopper, JL ; Zheng, W ; Schmidt, MK ; Pharoah, PDP (OXFORD UNIV PRESS, 2017-12)
    BACKGROUND: There is increasing evidence that elevated body mass index (BMI) is associated with reduced survival for women with breast cancer. However, the underlying reasons remain unclear. We conducted a Mendelian randomization analysis to investigate a possible causal role of BMI in survival from breast cancer. METHODS: We used individual-level data from six large breast cancer case-cohorts including a total of 36 210 individuals (2475 events) of European ancestry. We created a BMI genetic risk score (GRS) based on genotypes at 94 known BMI-associated genetic variants. Association between the BMI genetic score and breast cancer survival was analysed by Cox regression for each study separately. Study-specific hazard ratios were pooled using fixed-effect meta-analysis. RESULTS: BMI genetic score was found to be associated with reduced breast cancer-specific survival for estrogen receptor (ER)-positive cases [hazard ratio (HR) = 1.11, per one-unit increment of GRS, 95% confidence interval (CI) 1.01-1.22, P = 0.03). We observed no association for ER-negative cases (HR = 1.00, per one-unit increment of GRS, 95% CI 0.89-1.13, P = 0.95). CONCLUSIONS: Our findings suggest a causal effect of increased BMI on reduced breast cancer survival for ER-positive breast cancer. There is no evidence of a causal effect of higher BMI on survival for ER-negative breast cancer cases.
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    Breast cancer risk prediction using a polygenic risk score in the familial setting: a prospective study from the Breast Cancer Family Registry and kConFab
    Li, H ; Feng, B ; Miron, A ; Chen, X ; Beesley, J ; Bimeh, E ; Barrowdale, D ; John, EM ; Daly, MB ; Andrulis, IL ; Buys, SS ; Kraft, P ; Thorne, H ; Chenevix-Trench, G ; Southey, MC ; Antoniou, AC ; James, PA ; Terry, MB ; Phillips, K-A ; Hopper, JL ; Mitchell, G ; Goldgar, DE (NATURE PUBLISHING GROUP, 2017-01)
    PURPOSE: This study examined the utility of sets of single-nucleotide polymorphisms (SNPs) in familial but non-BRCA-associated breast cancer (BC). METHODS: We derived a polygenic risk score (PRS) based on 24 known BC risk SNPs for 4,365 women from the Breast Cancer Family Registry and Kathleen Cuningham Consortium Foundation for Research into Familial Breast Cancer familial BC cohorts. We compared scores for women based on cancer status at baseline; 2,599 women unaffected at enrollment were followed-up for an average of 7.4 years. Cox proportional hazards regression was used to analyze the association of PRS with BC risk. The BOADICEA risk prediction algorithm was used to measure risk based on family history alone. RESULTS: The mean PRS at baseline was 2.25 (SD, 0.35) for affected women and was 2.17 (SD, 0.35) for unaffected women from combined cohorts (P < 10-6). During follow-up, 205 BC cases occurred. The hazard ratios for continuous PRS (per SD) and upper versus lower quintiles were 1.38 (95% confidence interval: 1.22-1.56) and 3.18 (95% confidence interval: 1.84-5.23) respectively. Based on their PRS-based predicted risk, management for up to 23% of women could be altered. CONCLUSION: Including BC-associated SNPs in risk assessment can provide more accurate risk prediction than family history alone and can influence recommendations for cancer screening and prevention modalities for high-risk women.Genet Med 19 1, 30-35.
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    Do aromatase inhibitors have adverse effects on cognitive function?
    Phillips, KA ; Ribi, K ; Fisher, R (BMC, 2011)
    Aromatase inhibitors are an important component of treatment for most postmenopausal women with hormone receptor-positive, early-stage breast cancer. Women taking aromatase inhibitors experience very low levels of circulating estrogen. This might be expected to result in cognitive dysfunction given the important relationship between estrogen and cognition in the basic science literature. Several studies have examined the cognitive effects of aromatase inhibitors, including two within large randomized trials which were adequately powered to detect moderate (but not small) effects. With this caveat, the available data do not support the hypothesis that aromatase inhibitors adversely affect cognitive function or that aromatase inhibitors might have a more adverse effect on cognitive function in comparison with tamoxifen. Further research is needed for confirmation.
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    Morphological predictors of BRCA1 germline mutations in young women with breast cancer
    Southey, MC ; Ramus, SJ ; Dowty, JG ; Smith, LD ; Tesoriero, AA ; Wong, EEM ; Dite, GS ; Jenkins, MA ; Byrnes, GB ; Winship, I ; Phillips, K-A ; Giles, GG ; Hopper, JL (NATURE PUBLISHING GROUP, 2011-03-15)
    BACKGROUND: Knowing a young woman with newly diagnosed breast cancer has a germline BRCA1 mutation informs her clinical management and that of her relatives. We sought an optimal strategy for identifying carriers using family history, breast cancer morphology and hormone receptor status data. METHODS: We studied a population-based sample of 452 Australian women with invasive breast cancer diagnosed before age 40 years for whom we conducted extensive germline mutation testing (29 carried a BRCA1 mutation) and a systematic pathology review, and collected three-generational family history and tumour ER and PR status. Predictors of mutation status were identified using multiple logistic regression. Areas under receiver operator characteristic (ROC) curves were estimated using five-fold stratified cross-validation. RESULTS: The probability of being a BRCA1 mutation carrier increased with number of selected histology features even after adjusting for family history and ER and PR status (P<0.0001). From the most parsimonious multivariate model, the odds ratio for being a carrier were: 9.7 (95% confidence interval: 2.6-47.0) for trabecular growth pattern (P=0.001); 7.8 (2.7-25.7) for mitotic index over 50 mitoses per 10 high-powered field (P=0.0003); and 2.7 (1.3-5.9) for each first-degree relative with breast cancer diagnosed before age 60 years (P=0.01).The area under the ROC curve was 0.87 (0.83-0.90). CONCLUSION: Pathology review, with attention to a few specific morphological features of invasive breast cancers, can identify almost all BRCA1 germline mutation carriers among women with early-onset breast cancer without taking into account family history.
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    Subjective cognitive complaints one year after ceasing adjuvant endocrine treatment for early-stage breast cancer
    Ribi, K ; Aldridge, J ; Phillips, K-A ; Thompson, A ; Harvey, V ; Thuerlimann, B ; Cardoso, F ; Pagani, O ; Coates, AS ; Goldhirsch, A ; Price, KN ; Gelber, RD ; Bernhard, J (NATURE PUBLISHING GROUP, 2012-05-08)
    BACKGROUND: In the BIG 1-98 trial objective cognitive function improved in postmenopausal women 1 year after cessation of adjuvant endocrine therapy for breast cancer. This report evaluates changes in subjective cognitive function (SCF). METHODS: One hundred postmenopausal women, randomised to receive 5 years of adjuvant tamoxifen, letrozole, or a sequence of the two, completed self-reported measures on SCF, psychological distress, fatigue, and quality of life during the fifth year of trial treatment (year 5) and 1 year after treatment completion (year 6). Changes between years 5 and 6 were evaluated using the Wilcoxon signed-rank test. Subjective cognitive function and its correlates were explored. RESULTS: Subjective cognitive function and the other patient-reported outcomes did not change significantly after cessation of endocrine therapy with the exception of improvement for hot flushes (P=0.0005). No difference in changes was found between women taking tamoxifen or letrozole. Subjective cognitive function was the only psychosocial outcome with a substantial correlation between year 5 and 6 (Spearman's R=0.80). Correlations between SCF and the other patient-reported outcomes were generally low. CONCLUSION: Improved objective cognitive function but not SCF occur following cessation of adjuvant endocrine therapy in the BIG 1-98 trial. The substantial correlation of SCF scores over time may represent a stable attribute.
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    Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with prognosis of estrogen receptor-negative breast cancer after chemotherapy
    Lei, J ; Rudolph, A ; Moysich, KB ; Rafiq, S ; Behrens, S ; Goode, EL ; Pharoah, PP ; Seibold, P ; Fasching, PA ; Andrulis, IL ; Kristensen, VN ; Couch, FJ ; Hamann, U ; Hooning, MJ ; Nevanlinna, H ; Eilber, U ; Bolla, MK ; Dennis, J ; Wang, Q ; Lindblom, A ; Mannermaa, A ; Lambrechts, D ; Garcia-Closas, M ; Hall, P ; Chenevix-Trench, G ; Shah, M ; Luben, R ; Haeberle, L ; Ekici, AB ; Beckmann, MW ; Knight, JA ; Glendon, G ; Tchatchou, S ; Alnaes, GIG ; Borresen-Dale, A-L ; Nord, S ; Olson, JE ; Hallberg, E ; Vachon, C ; Torres, D ; Ulmer, H-U ; Ruediger, T ; Jager, A ; van Deurzen, CH ; Tilanus-Linthorst, MM ; Muranen, TA ; Aittomaki, K ; Blomqvist, C ; Margolin, S ; Kosma, V-M ; Hartikainen, JM ; Kataja, V ; Hatse, S ; Wildiers, H ; Smeets, A ; Figueroa, J ; Chanock, SJ ; Lissowska, J ; Li, J ; Humphreys, K ; Phillips, K-A ; Linn, S ; Cornelissen, S ; van den Broek, SAJ ; Kang, D ; Choi, J-Y ; Park, SK ; Yoo, K-Y ; Hsiung, C-N ; Wu, P-E ; Hou, M-F ; Shen, C-Y ; Teo, SH ; Taib, NAM ; Yip, CH ; Ho, GF ; Matsuo, K ; Ito, H ; Iwata, H ; Tajima, K ; Dunning, AM ; Benitez, J ; Czene, K ; Sucheston, LE ; Maishman, T ; Tapper, WJ ; Eccles, D ; Easton, DF ; Schmidt, MK ; Chang-Claude, J (BMC, 2015-02-10)
    INTRODUCTION: Tumor lymphocyte infiltration is associated with clinical response to chemotherapy in estrogen receptor (ER) negative breast cancer. To identify variants in immunosuppressive pathway genes associated with prognosis after adjuvant chemotherapy for ER-negative patients, we studied stage I-III invasive breast cancer patients of European ancestry, including 9,334 ER-positive (3,151 treated with chemotherapy) and 2,334 ER-negative patients (1,499 treated with chemotherapy). METHODS: We pooled data from sixteen studies from the Breast Cancer Association Consortium (BCAC), and employed two independent studies for replications. Overall 3,610 single nucleotide polymorphisms (SNPs) in 133 genes were genotyped as part of the Collaborative Oncological Gene-environment Study, in which phenotype and clinical data were collected and harmonized. Multivariable Cox proportional hazard regression was used to assess genetic associations with overall survival (OS) and breast cancer-specific survival (BCSS). Heterogeneity according to chemotherapy or ER status was evaluated with the log-likelihood ratio test. RESULTS: Three independent SNPs in TGFBR2 and IL12B were associated with OS (P <10⁻³) solely in ER-negative patients after chemotherapy (267 events). Poorer OS associated with TGFBR2 rs1367610 (G > C) (per allele hazard ratio (HR) 1.54 (95% confidence interval (CI) 1.22 to 1.95), P = 3.08 × 10⁻⁴) was not found in ER-negative patients without chemotherapy or ER-positive patients with chemotherapy (P for interaction <10-3). Two SNPs in IL12B (r² = 0.20) showed different associations with ER-negative disease after chemotherapy: rs2546892 (G > A) with poorer OS (HR 1.50 (95% CI 1.21 to 1.86), P = 1.81 × 10⁻⁴), and rs2853694 (A > C) with improved OS (HR 0.73 (95% CI 0.61 to 0.87), P = 3.67 × 10⁻⁴). Similar associations were observed with BCSS. Association with TGFBR2 rs1367610 but not IL12B variants replicated using BCAC Asian samples and the independent Prospective Study of Outcomes in Sporadic versus Hereditary Breast Cancer Study and yielded a combined HR of 1.57 ((95% CI 1.28 to 1.94), P = 2.05 × 10⁻⁵) without study heterogeneity. CONCLUSIONS: TGFBR2 variants may have prognostic and predictive value in ER-negative breast cancer patients treated with adjuvant chemotherapy. Our findings provide further insights into the development of immunotherapeutic targets for ER-negative breast cancer.
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    2q36.3 is associated with prognosis for oestrogen receptor-negative breast cancer patients treated with chemotherapy
    Li, J ; Lindstroem, LS ; Foo, JN ; Rafiq, S ; Schmidt, MK ; Pharoah, PDP ; Michailidou, K ; Dennis, J ; Bolla, MK ; Wang, Q ; Van't Veer, LJ ; Cornelissen, S ; Rutgers, E ; Southey, MC ; Apicella, C ; Dite, GS ; Hopper, JL ; Fasching, PA ; Haeberle, L ; Ekici, AB ; Beckmann, MW ; Blomqvist, C ; Muranen, TA ; Aittomaeki, K ; Lindblom, A ; Margolin, S ; Mannermaa, A ; Kosma, V-M ; Hartikainen, JM ; Kataja, V ; Chenevix-Trench, G ; Phillips, K-A ; McLachlan, S-A ; Lambrechts, D ; Thienpont, B ; Smeets, A ; Wildiers, H ; Chang-Claude, J ; Flesch-Janys, D ; Seibold, P ; Rudolph, A ; Giles, GG ; Baglietto, L ; Severi, G ; Haiman, CA ; Henderson, BE ; Schumacher, F ; Le Marchand, L ; Kristensen, V ; Alnaes, GIG ; Borresen-Dale, A-L ; Nord, S ; Winqvist, R ; Pylkas, K ; Jukkola-Vuorinen, A ; Grip, M ; Andrulis, IL ; Knight, JA ; Glendon, G ; Tchatchou, S ; Devilee, P ; Tollenaar, R ; Seynaeve, C ; Hooning, M ; Kriege, M ; Hollestelle, A ; Van den Ouweland, A ; Li, Y ; Hamann, U ; Torres, D ; Ulmer, HU ; Rudiger, T ; Shen, C-Y ; Hsiung, C-N ; Wu, P-E ; Chen, S-T ; Teo, SH ; Taib, NAM ; Yip, CH ; Ho, GF ; Matsuo, K ; Ito, H ; Iwata, H ; Tajima, K ; Kang, D ; Choi, J-Y ; Park, SK ; Yoo, K-Y ; Maishman, T ; Tapper, WJ ; Dunning, A ; Shah, M ; Luben, R ; Brown, J ; Khor, CC ; Eccles, DM ; Nevanlinna, H ; Easton, D ; Humphreys, K ; Liu, J ; Hall, P ; Czene, K (NATURE PORTFOLIO, 2014-06)
    Large population-based registry studies have shown that breast cancer prognosis is inherited. Here we analyse single-nucleotide polymorphisms (SNPs) of genes implicated in human immunology and inflammation as candidates for prognostic markers of breast cancer survival involving 1,804 oestrogen receptor (ER)-negative patients treated with chemotherapy (279 events) from 14 European studies in a prior large-scale genotyping experiment, which is part of the Collaborative Oncological Gene-environment Study (COGS) initiative. We carry out replication using Asian COGS samples (n=522, 53 events) and the Prospective Study of Outcomes in Sporadic versus Hereditary breast cancer (POSH) study (n=315, 108 events). Rs4458204_A near CCL20 (2q36.3) is found to be associated with breast cancer-specific death at a genome-wide significant level (n=2,641, 440 events, combined allelic hazard ratio (HR)=1.81 (1.49-2.19); P for trend=1.90 × 10(-9)). Such survival-associated variants can represent ideal targets for tailored therapeutics, and may also enhance our current prognostic prediction capabilities.
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    Adjuvant ovarian function suppression and cognitive function in women with breast cancer
    Phillips, K-A ; Regan, MM ; Ribi, K ; Francis, PA ; Puglisi, F ; Bellet, M ; Spazzapan, S ; Karlsson, P ; Budman, DR ; Zaman, K ; Abdi, EA ; Domchek, SM ; Feng, Y ; Price, KN ; Coates, AS ; Gelber, RD ; Maruff, P ; Boyle, F ; Forbes, JF ; Ahles, T ; Fleming, GF ; Bernhard, J (SPRINGERNATURE, 2016-04-26)
    BACKGROUND: To examine the effect on cognitive function of adjuvant ovarian function suppression (OFS) for breast cancer. METHODS: The Suppression of Ovarian Function (SOFT) trial randomised premenopausal women with hormone receptor-positive breast cancer to 5 years adjuvant endocrine therapy with tamoxifen+OFS, exemestane+OFS or tamoxifen alone. The Co-SOFT substudy assessed objective cognitive function and patient reported outcomes at randomisation (T0), and 1 year later (T1); the primary endpoint was change in global cognitive function, measured by the composite objective cognitive function score. Data were compared for the pooled tamoxifen+OFS and exemestane+OFS groups vs the tamoxifen alone group using the Wilcoxon rank-sum test. RESULTS: Of 86 participants, 74 underwent both T0 and T1 cognitive testing; 54 randomised to OFS+ either tamoxifen (28) or exemestane (26) and 20 randomised to tamoxifen alone. There was no significant difference in the changes in the composite cognitive function scores between the OFS+ tamoxifen or exemestane groups and the tamoxifen group (mean±s.d., -0.21±0.92 vs -0.04±0.49, respectively, P=0.71, effect size=-0.20), regardless of prior chemotherapy status, and adjusting for baseline characteristics. CONCLUSIONS: The Co-SOFT study, although limited by small samples size, provides no evidence that adding OFS to adjuvant oral endocrine therapy substantially affects global cognitive function.