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Quality of care from the patient's perspective is an increasingly important outcome measure for cancer services. Patients' and carers' perceptions of cancer care were assessed through structured telephone interviews, 4-10 months post-discharge, which focused on experiences during the most recent hospital admission. A total of 481 patients with a primary diagnosis of cancer (ICD-10 C codes) were recruited, along with 345 carers nominated by the patients. Perceptions of clinical care were generally positive. Less positive aspects of care included not being asked how they were coping, not being offered counselling, and not receiving written information about procedures. Results also highlighted inadequate discharge processes. Carers were more likely than patients to report negative experiences. Perceptions of care also differed by cancer type. [ABSTRACT FROM AUTHOR]

Our aims were to determine the extent of coverage by designated palliative care services of the population of terminally ill cancer patients in South Australia, and to identify the types of patients who receive these services and the types who do not. All designated hospice and palliative care services in South Australia notified to the State Cancer Registry the identifying details of all their patients who died in 1999. This information was cross-referenced with the data for all cancer deaths (n = 3086) recorded on the registry for 1999. We found that the level of coverage by designated palliative services of patients who died with cancer in 1999 was 68.2%. This methodology was previously used to show that the level of coverage had increased from 55.8% for cancer deaths in 1990 to 63.1% for those in 1993. Patients who died at home had the largest coverage by palliative services (74.7%), whereas patients who died in nursing homes had the lowest coverage (48.4%). Patients who did not receive care from these palliative services tended to be 80 years of age or older at death, country residents, those with a survival time from diagnosis of three months or less, and those diagnosed with a prostate, breast, or haematological malignancy. Gender, socioeconomic status of residential area, and race were not related to coverage by a designated palliative service, whereas migrants to Australia from the UK, Ireland, and Southern Europe were relatively high users of these services. We conclude that the high level of palliative care coverage observed in this study reflects widespread support for the establishment of designated services. When planning future care, special consideration should be given to the types of patients who most miss out on these services. [ABSTRACT FROM AUTHOR]

Yes. Public health adviser David Roder and Cancer Council Australia CEO Ian Olver believe the reduction in breast cancer mortality in Australia reflects both treatment and screening effects. [ABSTRACT FROM AUTHOR]

Background & Aims: Reports of a rise in childhood cancer incidence in Australia and globally prompted the investigation of cancer incidence and survival in South Australia (SA) and the Northern Territory (NT) over a 28-year period, with emphasis on Indigenous peoples., Methods: This cross-sectional analysis of two prospective longitudinal databases, the SA and NT Cancer Registries (1990-2017), included all reported cases of childhood cancers. Poisson regression provided estimates of incidence rate ratios and survival was modelled using Cox proportional hazard models for children aged <5 and ≥5 years., Results: A total of 895 patients across SA ( N = 753) and the NT ( N = 142) were ascertained. Overall and in the NT, childhood cancer incidence was higher in males compared with females (IRR 1.19 [1.04-1.35] and 1.43 [1.02-2.01], respectively). Lymphocytic leukemia was the most reported cancer type across all locations. With reference to the 1990-1999 era (181.67/100,000), cancer incidence remained unchanged across subsequent eras in the combined cohort (SA and NT) (2000-2009: 190.55/100,000; 1.06 [0.91-1.25]; 2010-2017: 210.00/100,000; 1.15 [0.98-1.35]); similar outcomes were reflected in SA and NT cohorts. Cancer incidence amongst non-Indigenous children significantly decreased from the 1990-1999 era (278.32/100,000) to the 2000-2009 era (162.92/100,000; 0.58 [0.35-0.97]). Amongst 39 Indigenous children in the NT, incidence rates remained unchanged across eras ( p > 0.05). With reference to the 1990-1999 era, overall survival improved in subsequent eras in SA (2000-2009: HR 0.53 [0.38-0.73]; 2010-2017: 0.44 [0.28-0.68]); however, remained unchanged in the NT (2000-2009: 0.78 [0.40-1.51]; 2010-2017: 0.50 [0.24-1.05]). In the NT, overall survival of Indigenous patients was significantly lower compared with the non-Indigenous cohort (3.42 [1.92-6.10]). While the survival of Indigenous children with cancer significantly improved in the last two eras ( p < 0.05), compared to the 1990-1999 era, no change was noted amongst non-Indigenous children in the NT ( p > 0.05)., Conclusions: The incidence of childhood cancers has remained unchanged over 28-years in SA and the NT. Encouragingly, improved survival rates over time were observed in SA and amongst Indigenous children of the NT. Nevertheless, survival rates in Indigenous children remain lower than non-Indigenous children.

Background: The objective of this study was to develop a guideline on how to report result of a population-based cancer registry. Methods: The guideline's development involved a core working committee and a scientific committee comprising experts from diverse domains. The process comprised three steps: 1) a comprehensive review of existing tools and guidelines and the development of the initial draft of the guideline based on a review of literature, 2) refinement items through several rounds of focus group discussion among the core group, and development initial draft, and 3) Evaluation of the initial draft by scientific committee members. Items in the guideline were organized to accommodate reports of population-based cancer registries as a scientific manuscript. Results: The core committee developed 47 items distributed in the major heading of a scientific manuscript presented as a checklist. The evaluation of the scientific committee led to a consensus on the majority of the items included in the checklist. Among 10 committee members, 7 provided unreserved approval, validating each item's necessity, applicability, and comprehensibility in the checklist. Feedback from the remaining 3 members was carefully analyzed and integrated to enhance the guideline's robustness. Incorporating feedback, a first final draft was presented in a meeting of scientific and core working committee members. Collaborative discussion ensured clarity of expression for each items and a final checklist was developed. Conclusion: The guideline abbreviated as REPCAN offers a standardized framework for reporting population-based cancer registry, fostering transparency, comparability, and comprehensive data presentation. The guideline encourages flexibility while promoting comprehensive and robust reporting practices.

Purpose: Increased risk of second primary cancers is an unwanted consequence of cancer survivorship. While the epidemiology of second cancers is well-documented for children and older people, less is known about second cancers among adolescent and young adult (AYA) cancer survivors. Methods: Unit record data were obtained from the Queensland Cancer Register. The study cohort comprised Queensland residents aged 15 to 39 years who were diagnosed with a first primary invasive cancer between 1982 and 2013. Follow-up on second cancers was available for a minimum of 5 years to the end of 2018. Standardized incidence ratios (SIRs) were used to approximate the risk of a second primary cancer relative to the general population. Results: In total, 3086 second primary cancers were observed among 34,431 eligible AYA patients (9%), equating to an overall SIR of 1.59 (95% confidence interval [CI] 1.53-1.64). Melanoma ( n  = 853, 28%) and female breast cancer ( n  = 594, 19%) were the most common types of second primary cancer in the study cohort. Relative risk of all second primary cancers combined among AYA patients was inversely associated with age and was highest within the period immediately after first diagnosis irrespective of age group; for example, patients aged 15-24 at first diagnosis recorded more than four times as many second primary cancers than expected within 2 years of their first cancer (SIR = 4.40, 95% CI 2.83-6.82). Conclusions: Detailed data on second primary cancers among AYA cancer survivors are important in promoting increased awareness and to inform the development of targeted prevention and surveillance strategies.

Even though clinically small 'early' cancers represent many millions of cells biologically, when removed surgically, these often never recur or regrow, nor reduce the individual's lifespan. However, some early cancers remain quiescent and indolent; while others grow and metastasize, threatening life. Distinguishing between these different clinical behaviours using clinical/pathological criteria is currently problematic. It is reported that many suspicious lesions and early cancers are being removed surgically that would not threaten the patient's life. This has been termed 'overdiagnosis', especially in the sphere of cancer screening. Although a controversial and emotive topic, it poses clinical and public health policy challenges. The diagnostic differentiation between 'non-lethal' and 'lethal' tumor forms is generally impossible. One perspective gathering evidential support is that a dynamic balance exists between the immune response and malignant processes governing 'lethality', where many more cancers are produced than become clinically significant due to the immune system preventing their progression. Higher medical screening "diagnosis" rates may reflect lead-time effects, with more 'non-progressing' cancers detected when an early immune-cancer interaction is occurring. We present a model for this immune-cancer interaction and review 'excess' or 'overdiagnosis' claims that accompany increasingly sensitive diagnostic and screening technologies. We consider that immune tools should be incorporated into future research, with potential for immune system modulation for some early cancers.

Introduction: Cancer care and outcomes differ across cultural groups in Australia. Quantifying these differences facilitates prioritisation and targeting of services and research. All-of-population data are needed by health agencies to understand and fulfil their cancer-control responsibilities. Compiling these data can be challenging while maintaining privacy. We have used data linkage to gain population-wide colorectal cancer data on stage (degree of spread), treatment, and survival in New South Wales (NSW), Australia, by country of birth (COB), and consider service implications., Methods: We studied colon and rectal cancers diagnosed in 2003-2016 and recorded on the NSW Cancer Registry (n = 41,575), plus linked hospital data and data from Australian Medical and Pharmaceutical Benefits payments, other treatment data and death records. Outcomes for 12 COB categories were analysed using multiple logistic and proportional hazards regression, with Australia as the reference category., Results: Compared with Australian born, the adjusted odds ratio for distant spread of colon cancer was higher for people born in Lebanon and the United Kingdom. Treatment was less common for people born in China (surgery), Germany (systemic), Italy (surgery), New Zealand (any treatment) and Vietnam (all treatments), while treatment for rectal cancer was more common for people born in Italy (surgery), United Kingdom (radiotherapy, systemic therapy), and Vietnam (surgery), and less frequent for people born in China (radiotherapy). Adjusted 5-year survival was higher for people born in China, Italy, Vietnam, Greece (colon), Lebanon (colon) and other non-English speaking countries. More advanced stage was negatively related to having surgery and survival., Conclusions: This study illustrates how linked data can enable comparisons of multiple outcomes for colorectal cancer by country of birth across an entire population. Results disclose "big picture" variations in population characteristics, stage, treatment and survival. This will enable better targeting and prioritisation of services and inform research priorities to address disparities., Competing Interests: Competing interests The authors declare that they have no competing interests., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: To examine population changes in 5-year survival for people in South Australia diagnosed with acute leukaemia during 1980-2016, by socio-demographic characteristics., Design, Setting: Retrospective analysis of South Australian Cancer Registry data for the period 1980-2016., Participants: All South Australian residents diagnosed with primary acute lymphoblastic leukaemia (ALL) or acute myeloid leukaemia (AML) during 1980-2016., Main Outcome Measures: 5-year disease-specific survival and disease-specific mortality., Results: Crude 5-year disease-specific survival was 58% (95% CI, 54-61%) for the 1035 people diagnosed with ALL during 1980-2016, and 18% (95% CI, 17-20%) for the 2814 people diagnosed with AML. Survival improved steadily across the study period: from 44% (95% CI, 35-52%) for people with ALL diagnosed during 1980-1984 to 69% (95% CI, 63-75%) for those diagnosed during 2010-2016; and from 9% (95% CI, 5-15%) to 23% (95% CI, 20-26%) for people diagnosed with AML. Disease-specific mortality increased with age, but was not influenced by socio-economic status or remoteness of residence. After adjusting for other factors, rates of change in risk of leukaemia-related death were greater for younger than older patients with ALL (for interaction: P = 0.004) or AML (P = 0.005), but were not significantly influenced by socio-economic status or remoteness., Conclusion: Five-year survival for people with acute leukaemia in South Australia continuously improved during 1980-2016, and socio-economic status and remoteness did not influence survival. It improved markedly for younger patients (under 50 years of age). However, survival is still relatively poor, especially for people over 50 years with AML., (© 2022 AMPCo Pty Ltd.)

Objective: To examine the screening-treatment-mortality pathway among women with invasive breast cancer in 2006-2014 using linked data., Methods: BreastScreen histories of South Australian women diagnosed with breast cancer (n = 8453) were investigated. Treatments recorded within 12 months from diagnosis were obtained from linked registry and administrative data. Associations of screening history with treatment were investigated using logistic regression and with cancer mortality outcomes using competing risk analyses, adjusting for socio-demographic, cancer and comorbidity characteristics., Results and Conclusion: For screening ages of 50-69 years, 70% had participated in BreastScreen SA ≤ 5 years and 53% ≤ 2 years of diagnosis. Five-year disease-specific survival post-diagnosis was 90%. Compared with those not screened ≤5 years, women screened ≤2 years had higher odds, adjusted for socio-demographic, cancer and comorbidity characteristics, and diagnostic period, of breast-conserving surgery (aOR 2.5, 95% CI 1.9-3.2) and radiotherapy (aOR 1.2, 95% CI 1.1-1.3). These women had a lower unadjusted risk of post-diagnostic cancer mortality (SHR 0.33, 95% CI 0.27-0.41), partly mediated by stage (aSHR 0.65, 95% CI 0.51-0.81), and less breast surgery (aSHR 0.78, 95% CI 0.62-0.99). Screening ≤2 years and conserving surgery appeared to have a greater than additive association with lower post-diagnostic mortality (interaction term SHR 0.42, 95% CI 0.23-0.78). The screening-treatment-mortality pathway was investigated using linked data., (© 2021 John Wiley & Sons Ltd.)

Objectives: To investigate causes of death of people with cancer alive five years after diagnosis, and to compare mortality rates for this group with those of the general population., Design, Setting, Participants: Retrospective cohort study; analysis of South Australian Cancer Registry data for all people diagnosed with cancer during 1990-1999 and alive five years after diagnosis, with follow-up to 31 December 2016., Main Outcome Measures: All-cause and cancer cause-specific mortality, by cancer diagnosis; standardised mortality ratios (study group v SA general population) by sex, age at diagnosis, follow-up period, and index cancer., Results: Of 32 646 people with cancer alive five years after diagnosis, 30 309 were of European background (93%) and 16 400 were males (50%); the mean age at diagnosis was 60.3 years (SD, 15.7 years). The median follow-up time was 17 years (IQR, 11-21 years); 17 268 deaths were recorded (53% of patients; mean age, 80.6 years; SD, 11.4 years): 7845 attributed to cancer (45% of deaths) and 9423 attributed to non-cancer causes (55%). Ischaemic heart disease was the leading cause of death (2393 deaths), followed by prostate cancer (1424), cerebrovascular disease (1175), and breast cancer (1118). The overall standardised mortality ratio (adjusted for age, sex, and year of diagnosis) was 1.24 (95% CI, 1.22-1.25). The cumulative number of cardiovascular deaths exceeded that of cancer cause-specific deaths from 13 years after cancer diagnosis., Conclusions: Mortality among people with cancer who are alive at least five years after diagnosis was higher than for the general population, particularly cardiovascular disease-related mortality. Survivorship care should include early recognition and management of risk factors for cardiovascular disease., (© 2020 AMPCo Pty Ltd.)

Purpose: Breast cancer is the most common cancer diagnosed among adolescent and young adult (AYA) females worldwide, but epidemiological patterns unique to this group are often obscured when results are combined with older patients. This study investigates breast cancer incidence and survival among AYA females, including differences by broad stage at diagnosis. Methods: A retrospective, population-based cohort study was conducted using de-identified data for females in Queensland, Australia, aged 15-39 diagnosed with a first primary breast cancer between 1997 and 2014 with follow-up to December 31, 2016. Incidence rate trends were examined with Joinpoint analysis. Cause-specific survival was calculated for key characteristics, and 5-year adjusted hazard ratios (HRs) were estimated from a multivariable flexible parametric model. Results: The study cohort comprised 2337 patients, of whom two-thirds ( n  = 1565, 67%) were diagnosed with advanced disease (tumor diameter >20 mm, lymph node involvement or presence of distant metastases at diagnosis). Incidence rates of localized tumors decreased by 1.9% per year (95% confidence interval [CI] -3.5% to -0.4%) over the study period, whereas the trend for advanced breast cancers remained stable. Five-year cause-specific survival increased from 85% to 92% for 2011-2014 compared to 1997-2001 (adjusted HR = 0.43, 95% CI = 0.29-0.65). Patients who were Indigenous from disadvantaged areas or diagnosed with advanced stage experienced significantly worse survival. Conclusion: The high proportion of younger females diagnosed with advanced breast cancer should be the focus of future campaigns to improve awareness and earlier detection. While survival has increased over time, further work is required to ensure that this progress is experienced equitably by all patients.

Objectives: To determine the incidence, multiplicity, geographical variability and service trends of keratinocyte cancers (KC) in South Australia (SA)., Methods: Medicare Australia data with a unique identifier were used to assess the number of people treated over years 2010-2014. A maximum of one KC service claim per year was used to determine incidence. Age-standardised rates were estimated as were KC service activity trends., Results: There were 497,581 services to 204,183 SA residents for KC, solar keratoses, locally aggressive skin tumours or suspicious skin lesions. Of these, n=159,137 services were for KC (77,502 people). The five-year (2010-2014) age-standardised rate of KC in SA was 1,466.6 (95%CI 1,458.3-1,474.8) per 100,000. Forty per cent of people had more than one KC removed. Men accounted for more incident cases (59.2%). Age-specific rates showed least variability over time in the youngest age group (15-44 years). For 26 geographical areas, higher age-standardised ratios of KC were seen in coastal and agricultural areas. There was a 59% increase in services for KC from 2000 to 2015., Conclusions: Age-standardised rates for KC are relatively stable in SA, but regional variations are evident. Services for KC continue to rise. Implications for public health: This is the first systematic report of KC in SA. We demonstrate the utility of using validated Medicare data for assessing KC incidence and trends., (© 2018 The Authors.)

Purpose: Cancer is a significant health concern for adolescents and young adults (AYAs; aged 15-24 years). Monitoring population-level changes in incidence, mortality, and survival is complicated by the lack of published data presenting statistics separately for AYAs. This study synthesizes and reviews data on AYA cancers in Australia, including trends in incidence and mortality., Methods: National data were extracted for 1980-2012, primarily from the Australian Cancer Database and Australian National Mortality Database. Incidence, mortality, and survival trends are described, and incidence and mortality projections are reported., Results: In 2000-2009, the annual all-cancer incidence was 31.7 cases per 100,000 population, and the mortality rate was 4.1 per 100,000. Incidence, mortality, and survival varied widely, indicating areas of concern. Melanoma was the most common cancer, and bone cancer had the highest mortality and poorest survival rates. All-cancer incidence rates peaked in the late 1990s, but then declined, largely due to melanoma. All-cancer mortality decreased throughout the study period, but showed no improvements for some common sites (i.e., brain, bone, soft tissue). Further reductions in all-cancer incidence and mortality are projected for the next decade, although specific cancers (colorectal cancers and lymphomas) were projected to increase in incidence., Conclusions: Observed Australian cancer trends are largely consistent with trends for other high-income populations. While overall decreases in incidence and mortality are encouraging, consistently high mortality and poor survival for some cancers remain concerning. Planned data initiatives for AYAs with cancer will aid in resolving whether trends continue and projections are realized in the future.

Objective: To compare how frequently selected chronic diseases developed in women with breast cancer receiving endocrine therapy, and in women without cancer., Design, Setting and Participants: Retrospective, rolling cohort study, analysing a random 10% sample of Pharmaceutical Benefits Scheme (PBS) data for the period 1 January 2003 - 31 December 2014. Women with breast cancer who first commenced endocrine therapy between January 2004 and December 2011 were identified, and age- and sex-matched (1:10) by comorbidity with control groups of women who did not have a dispensing record for antineoplastic agents during the study period or the comorbidity of interest at baseline., Main Outcome Measures: Development of any of eight pre-selected comorbidities, identified in PBS claims data with the RxRisk-V model., Results: Women with hormone-dependent breast cancer were significantly more likely than women in the control group to develop depression (overall hazard ratio [HR], 1.36; 95% CI, 1.26-1.46), pain or pain-inflammation (HR, 1.30; 95% CI, 1.23-1.38), osteoporosis (overall HR, 1.27; 95% CI, 1.17-1.39), diabetes (HR, 1.24; 95% CI, 1.10-1.41), cardiovascular disorders (overall HR, 1.22; 95% CI, 1.13-1.32), and gastric acid disorders (HR, 1.20; 95% CI, 1.13-1.28). The hazard ratios for developing cardiovascular disorders, depression and osteoporosis were highest during the first year of endocrine therapy. The risk of hyperlipidaemia was lower among women with breast cancer than in the control group (HR, 0.88; 95% CI, 0.81-0.96). There was no significant difference between the two groups in the risk of reactive airway diseases (HR, 1.05; 95% CI, 0.98-1.13)., Conclusion: Comorbid conditions are more likely to develop in women who have been diagnosed with hormone-dependent breast cancer than in women without cancer. Our results further support the need to develop appropriate models of care to manage the multiple chronic disorders of breast cancer survivors.

Background: A new 5-tiered grading grouping system has recently been endorsed for reporting of prostate cancer (PCa) grade to better reflect escalating risk of progression and cancer death. While several validations of the new grade groupings have been undertaken, most have involved centralised pathological review by specialist urological pathologists., Methods: Participants included 4268 men with non-metastatic PCa diagnosed between 2006 and 2013 from the multi-institutional South Australia Prostate Cancer Clinical Outcomes Collaborative registry. PCa-specific survival and biochemical recurrence-free survival were compared across the five grade groups using multivariable competing risk regression., Results: For the entire cohort, risk of PCa death increased with increasing grade groups (at biopsy) Adjusted subdistribution-hazard ratios [sHR] and 95% confidence intervals [95%CI] were: 2.2 (1.5-3.6); 2.5 (1.6-4.2); 4.1 (2.6-6.7) and 8.7 (4.5-14.0) for grade groups II (pattern 3 + 4), III (pattern 4 + 3), IV (total score 8) and V (total score 9-10) respectively, relative to grade group I (total score < =6). Clear gradients in risk of PCa death were observed for radical prostatectomy (RP), but were less clear for those who had radiotherapy (RT) with curative intent and those who were managed conservatively. Likewise, risk of biochemical recurrence increased across grade groups, with a strong and clear gradient for men undergoing RP [sHR (95%CI): 2.0 (1.4-2.8); 3.8 (2.9-5.9); 5.3 (3.5-8.0); 11.2 (6.5-19.2) for grade groups II, III, IV and V respectively, relative to grade group I], and a less clear gradient for men undergoing RT., Conclusion: In general, the new five-tiered grade groupings distinguished PCa survival and recurrence outcomes for men with PCa. The absence of a clear gradient for RT may be due to heterogeneity in this patient group.

Objective: To compare clinical features, treatments and outcomes in men with non-metastatic prostate cancer (PCa) according to whether they were referred for symptoms or elevated prostate-specific antigen (PSA) level., Patients and Methods: This study used data from the South Australia Prostate Cancer Clinical Outcomes Collaborative database; a multi-institutional clinical registry covering both the public and private sectors. We included all non-metastatic cases from 1998 to 2013 referred for urinary/prostatic symptoms or elevated PSA level. Multivariate Poisson regression was used to identify characteristics associated with symptomatic presentation and compare treatments according to reason for referral. Outcomes (i.e. overall survival, PCa-specific survival, metastasis-free survival and disease-free survival) were compared using multivariate Cox proportional hazards and competing risk regression., Results: Our analytical cohort consisted of 4 841 men with localized PCa. Symptomatic men had lower-risk disease (incidence ratio [IR] 0.70, 95% confidence interval [CI] 0.61-0.81 for high vs low risk), fewer radical prostatectomies (IR 0.64, CI: 0.56-0.75) and less radiotherapy (IR 0.86, CI: 0.77-0.96) than men presenting with elevated PSA level. All-cause mortality (hazard ratio [HR] 1.31, CI: 1.16-1.47), disease-specific mortality (HR 1.42, CI: 1.13-1.77) and risk of metastases (HR 1.36, CI: 1.13-1.64) were higher for men presenting with symptoms, after adjustment for other clinical characteristics; however, risk of disease progression did not differ (HR 0.90, CI: 0.74-1.07) amongst those treated curatively. Subgroup analyses indicated poorer PCa survival for symptomatic referral among men undergoing radical prostatectomy (HR 3.4, CI: 1.3-8.8), those aged >70 years (HR 1.4, CI: 1.0-1.8), men receiving private treatment (HR 2.1, CI: 1.3-3.3), those diagnosed via biopsy (HR 1.3, CI: 1.0-1.7) and those diagnosed before 2006 (HR 1.6, CI: 1.2-2.7)., Conclusion: Our results suggest that symptomatic presentation may be an independent negative prognostic indicator for PCa survival. More complete assessment of disease grade and extent, more definitive treatment and increased post-treatment monitoring among symptomatic cases may improve outcomes. Further research to determine any pathophysiological basis for poor outcomes in symptomatic men is warranted., (© 2016 The Authors BJU International © 2016 BJU International Published by John Wiley & Sons Ltd.)

Objectives: To investigate time to follow-up (clinical investigation) for Indigenous and non-Indigenous women in Queensland after a high grade abnormality (HGA) being detected by Pap smear., Design, Setting, Participants: Population-based retrospective cohort analysis of linked data from the Queensland Pap Smear Register (PSR), the Queensland Hospital Admitted Patient Data Collection, and the Queensland Cancer Registry. 34 980 women aged 20-68 years (including 1592 Indigenous women) with their first HGA Pap smear result recorded on the PSR (index smear) during 2000-2009 were included and followed to the end of 2010., Main Outcome Measures: Time from the index smear to clinical investigation (histology test or cancer diagnosis date), censored at 12 months., Results: The proportion of women who had a clinical investigation within 2 months of a HGA finding was lower for Indigenous (34.1%; 95% CI, 31.8-36.4%) than for non-Indigenous women (46.5%; 95% CI, 46.0-47.0%; unadjusted incidence rate ratio [IRR], 0.65; 95% CI, 0.60-0.71). This difference remained after adjusting for place of residence, area-level disadvantage, and age group (adjusted IRR, 0.74; 95% CI, 0.68-0.81). However, Indigenous women who had not been followed up within 2 months were subsequently more likely to have a clinical investigation than non-Indigenous women (adjusted IRR for 2-4 month interval, 1.21; 95% CI, 1.08-1.36); by 6 months, a similar proportion of Indigenous (62.2%; 95% CI, 59.8-64.6%) and non-Indigenous women (62.8%; 95% CI, 62.2-63.3%) had been followed up., Conclusions: Prompt follow-up after a HGA Pap smear finding needs to improve for Indigenous women. Nevertheless, slow follow-up is a smaller contributor to their higher cervical cancer incidence and mortality than their lower participation in cervical screening.

Objective: To examine differences in the proportions of people diagnosed with pancreatic cancer who underwent pancreatectomy, post-operative outcomes and 5-year survival in different New South Wales administrative health regions of residence., Design, Setting and Participants: Retrospective analysis of NSW data on pancreatic cancer incidence and surgery, 2005-2013., Main Outcome Measures: The proportion of newly diagnosed patients with pancreatic cancer who were resected in each region; 90-day post-operative mortality; one-year post-operative survival; 5-year post-diagnosis survival., Results: 14% of people diagnosed with pancreatic cancer during 2010-2013 (431 of 3064) underwent pancreatectomy, an average of 108 resections per year. After adjusting for age, sex and comorbidities, the proportion that underwent resection varied significantly between regions, ranging between 8% and 21% (P<0.001). Higher resection rates were not associated with higher post-operative 90-day mortality or lower one-year survival (unadjusted and risk-adjusted analyses). Higher resection rates were associated with higher 5-year post-diagnosis survival: the mean survival in regions with resection rates below 10% was 3.4%, compared with 7.2% in regions with rates greater than 15% (unadjusted and adjusted survival analyses; P<0.001). There was a positive association between regional resection rate and the pancreatectomy volume of hospitals during 2005-2009. An additional 32 people would be resected annually if resection rates in low rate regions were increased to the 80th percentile regional resection rate (18%)., Conclusion: There is significant geographic variation in the proportion of people with pancreatic cancer undergoing pancreatectomy, and the 5-year survival rate is higher in regions where this proportion is higher.

Rationale, Aims and Objectives: Stratification of women with screen-detected ductal carcinoma in situ (DCIS) by risk of subsequent invasive breast cancer (IBC) could assist treatment planning and selection of surveillance protocols that accord with risk. We assessed the utility of routinely collected administrative data for stratifying by IBC risk following DCIS detection in a population-based screening programme to inform ongoing surveillance protocols., Methods: A retrospective cohort design was used, employing linked data from the South Australian breast screening programme and cancer registry. Women entered the study at screening commencement and were followed until IBC diagnosis, death or end of the study period (1 December 2010), whichever came first. Routinely collected administrative data were analyzed to identify predictors of invasive breast cancer., Results: Proportional hazards regression confirmed that the DCIS cohort had an elevated risk of IBC after adjustment for relevant confounders (HR = 4.0 (95% CL 3.4, 4.8)), which accorded with previous study results. Within the DCIS cohort, conservative breast surgery and earlier year of screening commencement were both predictive of an elevated invasive breast cancer risk., Conclusions: These linked cancer registry and administrative data gave plausible estimates of IBC risk following DCIS diagnosis, but were limited in coverage of key items for further risk stratification. It is important that the research utility of administrative datasets is maximized in their design phase in collaboration with researchers., (© 2016 John Wiley & Sons, Ltd.)

Background: The Quality Audit (BQA) of Breast Surgeons of Australia and New Zealand includes a broad range of data and is the largest New Zealand (NZ) breast cancer (BC) database outside the NZ Cancer Registry. We used BQA data to compare BC survival by ethnicity, deprivation, remoteness, clinical characteristic and case load., Methods: BQA and death data were linked using the National Health Index. Disease-specific survival for invasive cases was benchmarked against Australian BQA data and NZ population-based survivals. Validity was explored by comparison with expected survival by risk factor., Results: Compared with 93% for Australian audit cases, 5-year survival was 90% for NZ audit cases overall, 87% for Maori, 84% for Pacific and 91% for other., Conclusions: BC survival in NZ appears lower than in Australia, with inequities by ethnicity. Differences may be due to access, timeliness and quality of health services, patient risk profiles, BQA coverage and death-record methodology., (© 2014 Royal Australasian College of Surgeons.)

Debate about the extent of breast cancer over-diagnosis due to mammography screening has continued for over a decade, without consensus. Estimates range from 0 to 54%, but many studies have been criticized for having flawed methodology. In this study we used a novel study design to estimate over-diagnosis due to organised mammography screening in South Australia (SA). To estimate breast cancer incidence at and following screening we used a population-based, age-matched case-control design involving 4,931 breast cancer cases and 22,914 controls to obtain OR for yearly time intervals since women's last screening mammogram. The level of over-diagnosis was estimated by comparing the cumulative breast cancer incidence with and without screening. The former was derived by applying ORs for each time window to incidence rates in the absence of screening, and the latter, by projecting pre-screening incidence rates. Sensitivity analyses were undertaken to assess potential biases. Over-diagnosis was estimated to be 8% (95%CI 2-14%) and 14% (95%CI 8-19%) among SA women aged 45 to 85 years from 2006-2010, for invasive breast cancer and all breast cancer respectively. These estimates were robust when applying various sensitivity analyses, except for adjustment for potential confounding assuming higher risk among screened than non-screened women, which reduced levels of over-diagnosis to 1% (95%CI 5-7%) and 8% (95%CI 2-14%) respectively when incidence rates for screening participants were adjusted by 10%. Our results indicate that the level of over-diagnosis due to mammography screening is modest and considerably lower than many previous estimates, including others for Australia., (© 2014 UICC.)

Objective: To investigate the association of colorectal cancer (CRC) screening history and subsequent incidence of CRC in New South Wales, Australia., Design, Setting and Participants: A total of 196,464 people from NSW recruited to the 45 and Up Study, a large Australian population-based prospective study, by completing a baseline questionnaire distributed from January 2006 to December 2008. Individuals without pre-existing cancer were followed for a mean of 3.78 years (SD, 0.92 years) through linkage to population health datasets., Main Outcome Measures: Incidence of CRC; hazard ratio (HR) according to screening history, adjusted for age, sex, body mass index, income, education, remoteness, family history, aspirin use, smoking, diabetes, alcohol use, physical activity and dietary factors., Results: Overall, 1096 cases of incident CRC accrued (454 proximal colon, 240 distal colon, 349 rectal and 53 unspecified cancers). Ever having undergone CRC screening before baseline was associated with a 44% reduced risk of developing CRC during follow-up (HR, 0.56; 95% CI, 0.49-0.63) compared with never having undergone screening. This effect was more pronounced for those reporting endoscopy (HR, 0.50; 95% CI, 0.43-0.58) than those reporting faecal occult blood testing (FOBT) (HR, 0.61; 95% CI, 0.52-0.72). Associations for all screening exposures were strongest for rectal cancer (HR, 0.35; 95% CI, 0.27-0.45) followed by distal colon cancer (HR, 0.60; 95% CI, 0.46-0.78), while relationships were weaker for cancers of the proximal colon (HR, 0.76; 95% CI, 0.62-0.92)., Conclusion: CRC incidence is lower among individuals with a history of CRC screening, through either FOBT or endoscopy, compared with individuals who have never had CRC screening, lasting for at least 4 years after screening.

The traditional roles of Australian cancer registries have been incidence, mortality and survival surveillance although increasingly, roles are being broadened to include data support for health-service management and evaluation. In some Australian jurisdictions, cancer stage and other prognostic data are being included in registry databases and this is being facilitated by an increase in structured pathology reporting by pathology and haematology laboratories. Data linkage facilities are being extended across the country at national and jurisdictional level, facilitating data linkage between registry data and data extracts from administrative databases that include treatment, screening and vaccination data, and self-reported data from large population cohorts. Well-established linkage protocols exist to protect privacy. The aim is to gain better data on patterns of care, service outcomes and related performance indicators for health-service management and population health and health-services research, at a time of increasing cost pressures. Barriers include wariness among some data custodians towards releasing data and the need for clearance for data release from large numbers of research ethics committees. Progress is being made though, and proof of concept is being established., (© 2014 John Wiley & Sons Ltd.)

Objective: To investigate opportunities to reduce lung cancer mortality after diagnosis of localised non-small cell lung cancer (NSCLC) in New South Wales through surgical resection., Design, Patients and Setting: In this cohort study, resection rates and lung cancer mortality risk were explored using multivariate logistic regression and competing risk regression, respectively. Data for 3040 patients were extracted from the NSW Central Cancer Registry for the diagnostic period 1 January 2003 to 31 December 2007. Subset analyses for patients at low surgical risk indicated resection rates and outcomes under ideal circumstances., Main Outcome Measures: Resection rates and lung cancer mortality., Results: The resection rate in NSW was estimated to be between 38% and 43%, peaking at 59% by local health district (LHD) of residence. Not having a resection was associated with older age, lower socioeconomic status, lack of private health insurance, and residence by LHD. Adjusted 5-year cumulated probabilities of death were 76% in absence of resection, 30% for wedge resection, 18% for segmental resection, 22% for lobectomy and 45% for pneumonectomy. Of 255 "low surgical risk" patients, 71% had a resection. Those not receiving a resection had a higher probability of death (adjusted subhazard ratio, 14.1; 95% CI, 7.2-27.5). If the low overall resection rate of 38%-43% in NSW were increased to 59% (the highest LHD resection rate), the proportion of all patients with localised NSCLC dying of NSCLC in the 5 years from diagnosis would decrease by about 10%, based on differences in probabilities of death by resection estimated in this study., Conclusions: Potential exists to reduce deaths from NSCLC in NSW through increased resection.

Objective: To compare the management and outcome of rural and metropolitan patients with metastatic colorectal cancer (mCRC) in South Australia., Design, Setting and Patients: Retrospective cohort study of patients with mCRC submitted to the South Australian mCRC registry between 2 February 2006 and a cut-off date of 28 May 2012., Main Outcome Measures: Differences in oncological and surgical management and overall survival (calculated using the Kaplan-Meier method) between city and rural patients., Results: Of 2289 patients, 624 (27.3%) were rural. There was a higher proportion of male patients in the rural cohort, but other patient characteristics did not significantly differ between the cohorts. Equivalent rates of chemotherapy administration between city and rural patients were observed across each line of treatment (first line: 56.0% v 58.3%, P = 0.32; second line: 23.3% v 22.5%, P = 0.78; and third line: 10.1% v 9.3%, P = 0.69). A higher proportion of city patients received combination chemotherapy in the first-line setting (67.4% v 59.9%; P = 0.01). When an oxaliplatin combination was prescribed, oral capecitabine was used more frequently in rural patients (22.9% v 8.4%; P < 0.001). No significant difference was seen in rates of hepatic resection or other non-chemotherapy treatments between cohorts. Median overall survival was equivalent between city and rural patients (14.6 v 14.9 months, P = 0.18)., Conclusion: Patterns of chemotherapy and surgical management of rural patients with mCRC in SA are equivalent to their metropolitan counterparts and lead to comparable overall survival. The centralised model of oncological care in SA may ensure rural patients gain access to optimal care.

Rationale, Aims and Objectives: Population level data on colorectal cancer (CRC) management in Australia are lacking. This study assessed broad level patterns of care and concordance with guidelines for CRC management at the population level using linked administrative data from both the private and public health sectors across South Australia. Disparities in CRC treatment were also explored., Method: Linking information from the South Australian Cancer Registry, hospital separations, radiotherapy services and hospital-based cancer registry systems provided data on the socio-demographic, clinical and treatment characteristics for 4641 CRC patients, aged 50-79 years, diagnosed from 2003 to 2008. Factors associated with receiving site/stage-specific treatments (surgery, chemotherapy and radiotherapy) and overall concordance with treatment guidelines were identified using Poisson regression analysis., Results: About 83% of colon and 56% of rectal cancer patients received recommended treatment. Provision of neo-adjuvant/adjuvant therapies may be less than optimal. Radiotherapy was less likely among older patients (prevalence ratio 0.7, 95% confidence interval 0.5-0.8). Chemotherapy was less likely among older patients (0.7, 0.6-0.8), those with severe or multiple co-morbidities (0.8, 0.7-0.9), and those from rural areas (0.9, 0.8-1.0). Overall discordance with treatment guidelines was more likely among rectal cancer patients (3.0, 2.7-3.3), older patients (1.6, 1.4-1.8), those with multiple co-morbid conditions (1.3, 1.1-1.4), and those living in rural areas (1.2, 1.0-1.3)., Conclusions: Greater emphasis should be given to ensure CRC patients who may benefit from neo-adjuvant/adjuvant therapies have access to these treatments., (© 2014 John Wiley & Sons, Ltd.)

Rationale, Aims and Objectives: It is uncertain whether survival increases from melanoma recorded by some population registries include a treatment effect. The US Surveillance, Epidemiology and End Results (SEER) programme has good data quality control, large numbers of cases enabling high statistical precision and summary stage plus thickness, which we consider to be a best-case population registry scenario to investigate potential for a treatment effect. We have investigated SEER data to indicate whether survivals increases are fully attributable to earlier diagnosis and other non-treatment factors., Methods: Through relative survival regression, the effects of diagnostic period on 5-year excess mortality were investigated, adjusting for socio-demographic factors, lesion sub-site, histology, thickness and stage at diagnosis in 1990-2009 (n = 99 690 cases)., Results: The reduction in excess mortality (95% confidence interval) between 1990-1999 and 2000-2009 was 31 (20-41)% for localised melanoma, 18 (12-22)% for regional melanoma and 3 (-5-10)% for melanomas with distant spread. Younger age was predictive of a greater percentage reduction. Treatment benefits are inferred from the higher survivals in 2000-2009 but uncertainty remains due to incomplete data to adjust for non-treatment factors and a lack of treatment data., Conclusions: Registries should use new information systems to collect more complete data on stage, other prognostic indicators, co-morbidities and treatment, to provide more definitive and detailed information on population effects of cancer control., (© 2013 John Wiley & Sons, Ltd.)

Background: The natural history of lobular carcinoma in-situ (LCIS) suggests that women are at increased risk of subsequent invasive breast cancer. Questions of effective management for women with this lesion have led to the need for evidence-based guidance and, in particular, guidance regarding management after LCIS is found at core needle biopsy (CNB)., Methods: A systematic review was conducted to determine the most appropriate management for women with LCIS found at CNB. A comprehensive search of the scientific literature was conducted to identify the literature pertaining to this population. Critical appraisal of the literature, data extraction and a narrative synthesis of the results were conducted. The outcome of interest was upgrade of diagnosis to invasive breast cancer or ductal carcinoma in-situ (DCIS)., Results: Sparse data, with limited generalisability and considerable uncertainty, are available for women with LCIS at CNB. Nine studies were identified that met pre-specified inclusion criteria. The reported estimates of upgrade of diagnosis from LCIS to invasive breast cancer or DCIS ranged from 2% to 25%. The body of evidence was limited by its retrospective nature, risk of selection bias and poor generalisability to all women with LCIS at CNB. Further, higher quality research is required to determine the best approach for women with LCIS at CNB with any certainty., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Background: National cancer survival statistics are available for the total Australian population but not Indigenous Australians, although their cancer mortality rates are known to be higher than those of other Australians. We aimed to validate analysis methods and report cancer survival rates for Indigenous Australians as the basis for regular national reporting., Methods: We used national cancer registrations data to calculate all-cancer and site-specific relative survival for Indigenous Australians (compared with non-Indigenous Australians) diagnosed in 2001-2005. Because of limited availability of Indigenous life tables, we validated and used cause-specific survival (rather than relative survival) for proportional hazards regression to analyze time trends and regional variation in all-cancer survival between 1991 and 2005., Results: Survival was lower for Indigenous than non-Indigenous Australians for all cancers combined and for many cancer sites. The excess mortality of Indigenous people with cancer was restricted to the first three years after diagnosis, and greatest in the first year. Survival was lower for rural and remote than urban residents; this disparity was much greater for Indigenous people. Survival improved between 1991 and 2005 for non-Indigenous people (mortality decreased by 28%), but to a much lesser extent for Indigenous people (11%) and only for those in remote areas; cancer survival did not improve for urban Indigenous residents., Conclusions: Cancer survival is lower for Indigenous than other Australians, for all cancers combined and many individual cancer sites, although more accurate recording of Indigenous status by cancer registers is required before the extent of this disadvantage can be known with certainty. Cancer care for Indigenous Australians needs to be considerably improved; cancer diagnosis, treatment, and support services need to be redesigned specifically to be accessible and acceptable to Indigenous people.

Background: The lupus-associated (La)-specific murine monoclonal antibody DAB4 (APOMAB®) specifically binds dead cancer cells. Using DAB4, we examined La expression in human lung cancer samples to assess its suitability as a cancer-selective therapeutic target. We evaluated the safety and effectiveness of radioimmunotherapy (RIT) using DAB4 radiolabeled with Lutetium-177 (177Lu) in the murine Lewis Lung (LL2) carcinoma model, and determined whether combining RIT with DNA-damaging cisplatin-based chemotherapy, a PARP inhibitor (PARPi), or both alters treatment responses., Methods: The expression of La mRNA in human lung cancer samples was analysed using the online database Oncomine, and the protein expression of La was examined using a TissueFocus Cancer Survey Tissue Microarray. The binding of DAB4 to cisplatin-treated LL2 cells was assessed in vitro. LL2 tumour-bearing mice were administered escalating doses of 177Lu-DAB4 alone or in combination with chemotherapy, and tumour growth and survival measured. Biodistribution analysis was used to determine tissue uptake of 177Lu-DAB4 or its isotype control (177Lu-Sal5), when delivered alone or after chemotherapy. PARPi (rucaparib; AG-014699) was combined with chemotherapy and the effects of combined treatment on tumour growth, tumour cell DNA damage and death, and intratumoural DAB4 binding were also analysed. The effect of the triple combination of PARPi, chemotherapy and 177Lu-DAB4 on tumour growth and survival of LL2 tumour-bearing mice was tested., Results: La was over-expressed at both mRNA and protein levels in surgical specimens of human lung cancer and the over-expression of La mRNA conferred a poorer prognosis. DAB4 bound specifically to cisplatin-induced dead LL2 cells in vitro. An anti-tumour dose response was observed when escalating doses of 177Lu-DAB4 were delivered in vivo, with supra-additive responses observed when chemotherapy was combined with 177Lu-DAB4. Combining PARPi with chemotherapy was more effective than chemotherapy alone with increased tumour cell DNA damage and death, and intratumoural DAB4 binding. The combination of PARPi, chemotherapy and 177Lu-DAB4 was well-tolerated and maximised tumour growth delay., Conclusions: The La antigen represents a dead cancer cell-specific target in lung cancer, and DAB4 specifically targeted tumour tissue in vivo, particularly after chemotherapy. Tumour uptake of DAB4 increased further after the combination of PARPi and chemotherapy, which generated new dead tumour cell-binding targets. Consequently, combining 177Lu-DAB4 with PARPi and chemotherapy produced the greatest anti-tumour response. Therefore, the triple combination of PARPi, chemotherapy and RIT may have broad clinical utility.

Purpose: To examine breast cancer (BC) incidence trends in relation to mammographic screening and risk factor prevalence in South Australia (SA)., Materials and Methods: Trends in annual BC incidence rates were calculated using direct standardisation and compared with projected incidence derived from Poisson regression analysis of pre-screening rates. Annual percentage change and change time points were estimated using Joinpoint software. Biennial mammography screening participation rates were calculated using data from BreastScreen SA. Trends in overweight/obesity, alcohol use and hormone replacement therapy (HRT) use were examined using 1991-2009 Health Omnibus Survey data. Trends in total fertility were examined using data from the Australian Bureau of Statistics., Results: BC incidence increased around the time BreastScreen commenced and then stabilised in the mid-1990s. However rates have remained higher than projected, even though the proportion and age distribution of first time screening attendees stabilised around 1998. A decrease in BC incidence was observed among women aged 50-59yrs from the late-1990's but not among older women. Obesity and alcohol use have increased steadily in all age groups, while HRT use declined sharply from the late-1990s., Conclusions: BC incidence has remained higher than projected since mammography screening began. The sustained elevation is likely to be due to lead time effects, though over-diagnosis cannot be excluded. Declining HRT use has also impacted incidence trends., Implications: Studies using individual level data, which can account for changes in risk factor prevalence and lead time effects, are required to evaluate 'over-diagnosis' due to screening.

Background: Data from BreastScreen Australia Screening and Assessment Services (SAS) for 2002-2010 were analysed to determine whether some SAS characteristics were more conducive that others to high screening performance, as indicated by high priority performance indicators and standards., Materials and Methods: Indicators investigated related to: numbers of benign open biopsies, screen-detected invasive cancers, and interval cancers, and wait times between screening and assessment. Multivariate Poisson regression was undertaken using as candidate predictors of performance, SAS size (screening volume), urban or rural location, year of screening, accreditation status, and percentages of clients from culturally and linguistically diverse backgrounds, rural and remote areas, and socio-economically disadvantaged areas., Results: Performance standards for benign biopsies and invasive cancer detection were uniformly met irrespective of SAS location and size. The interval cancer standard was also met, except in 2003 when the 95% confidence interval of the rate still incorporated the national standard. Performance indicators improved over time for: benign open biopsy for second or subsequent screening rounds; rates of invasive breast cancer detection for second or subsequent screening rounds; and rates of small cancer detection. No differences were found over time in interval cancer rates. Interval cancer rates did not differ between non-metropolitan and metropolitan SAS, although state-wide SAS had lower rates. The standard for wait time between screening and assessment (being assessed <28 days) was mostly unmet and this applied in particular to SAS with high percentages of culturally and linguistically diverse women in their screening populations., Conclusions: Gains in performance were observed, and all performance standards were met irrespective of SAS characteristics, except wait times to assessment. Additional descriptive data should be collected on SAS characteristics, and their associations with favourable screening performance, as these may be important when deciding on SAS design.

Objectives: There is considerable interest in whether mammography screening leads to over-diagnosis of breast cancer. However self-selection into screening programmes may lead to risk differences that affect estimates of over-diagnosis. This study compares the breast cancer risk profiles of participants and non-participants of population-based mammography screening. Risk profiles are also compared between those who have and have not used private screening services., Setting: This study involved 1162 women aged 40-84 who participated in the 2012 Health Omnibus, an annual face-to-face interview-based survey of a representative sample of the population in the state of South Australia., Methods: Data were collected on participation in mammography screening, demographic characteristics and breast cancer risk factors (including reproductive, familial and lifestyle factors). Missing data were multiply imputed. Factors independently associated with ever having been screened were identified using multivariable logistic regression, for population-based and ad hoc, private mammography screening separately., Results: Compared with non-participants, participants of population-based screening were more likely to have used hormone replacement therapy (odds ratio [OR] = 3.72), experienced breast biopsy or surgery (OR = 2.22), and be overweight or obese (OR = 1.57). They were less likely to be sufficiently active (OR = 0.57) or be born in a non-English speaking country (OR = 0.50) or aged under 50 (OR = 0.09). Women who were screened privately were more likely to have a family history of breast cancer (OR = 1.66) and have experienced breast biopsy or surgery (OR = 3.17) than those who had not., Conclusions: South Australian women who participated in the population-based mammography screening have a slightly higher prevalence of breast cancer risk factors. This also applies to those who undertook private screening.

Purpose: This study aims to measure the impact of HRT use at the time of screening on rates of screen-detected invasive breast cancer (IBC) and ductal carcinoma in situ (DCIS), interval cancers and investigative procedures, within a well-established population-based mammography screening program., Methods: Using South Australian BreastScreen data from 1998 to 2009 pertaining to 819,722 screening episodes, Poisson regression models were undertaken to estimate the incidence risk ratios (IRR) for various screening outcomes at both the first and subsequent screening rounds, among women who had been using HRT in the 6 months prior to screening compared with those who had not., Results: Current HRT use was associated with increased risk of recall for assessment, biopsy procedures, and breast cancer diagnosis among BreastScreen participants. Risk of screen-detected breast cancer was increased at subsequent screening rounds (IRR = 1.30, 95% confidence interval 1.18-1.34), but not at women's first screening round (1.05, 0.88-1.25). This increased risk applied to IBC (1.35, 1.27-1.45), but not to DCIS (1.04, 0.89-1.23). Interval cancer risk was elevated among HRT users following both the first screen (1.77, 1.33-2.37) and subsequent screening episodes (1.92, 1.72-2.15)., Conclusions: Increased risks of recall, biopsy rates, screen-detected, and interval cancers among HRT users have important implications for population-based breast cancer screening programs. Our findings support the concept that HRT use may increase the growth of preexisting cancers. Lack of effect on DCIS could imply different etiology or time frames for DCIS and IBC development or increased transition from preinvasive to invasive disease due to HRT use.

Background:   The study aim was to determine whether age is an independent risk factor for survival from early invasive breast cancer in contemporary Australian clinical settings., Methods:   The study included 31 493 breast cancers diagnosed in 1998-2005. Risk of death from breast cancer was compared by age, without and with adjustment for clinical risk factors, using Cox proportional hazard regression., Results:   Risk of breast cancer death was elevated for cancers of larger size, higher grade, positive nodal status, oestrogen receptor negative status, vascular invasion and multiple foci. Ductal lesions presented a higher risk than other lesions. Adjusting for these factors, the relative risk of breast cancer death (95% confidence limits) was lower for 40-49-year-olds at 0.80 (0.66, 0.96) than for the reference category under 40 years, but higher for 70-79-year-olds at 1.64 (1.36, 1.98) and women aged 80 years or more at 2.19 (1.79, 2.69). The risk for 50-69-year-olds and women under 40 years was similar. Risk-factor adjustment reduced the difference in risk between the reference category under 40 years and 40-49-year-olds, largely eliminated the lower relative risk for 50-69-year-olds, and increased the relative risks for women aged 70-79 years and older., Discussion:   Survivals in women under 40 and over 70 years of age are poorer than for 40-69-year-olds. Research is needed into the best treatment modalities for younger women and older women with co-morbidity., (© 2012 The Authors. ANZ Journal of Surgery © 2012 Royal Australasian College of Surgeons.)

Objectives: To estimate the incidence of metastatic breast cancer (MBC) in Australian women with an initial diagnosis of non-metastatic breast cancer., Design, Setting and Participants: A population-based cohort study of all women with non-metastatic breast cancer registered on the New South Wales Central Cancer Register (CCR) in 2001 and 2002 who received care in a NSW hospital., Main Outcome Measures: 5-year cumulative incidence of MBC; prognostic factors for MBC., Results: MBC was recorded within 5 years in 218 of 4137 women with localised node-negative disease (5-year cumulative incidence, 5.3%; 95% CI, 4.6%-6.0%); and 455 of 2507 women with regional disease (5-year cumulative incidence, 18.1%; 95% CI, 16.7%-19.7%). The hazard rate for developing MBC was highest in the second year after the initial diagnosis of breast cancer. Determinants of increased risk of MBC were regional disease at diagnosis, age less than 50 years and living in an area of lower socio-economic status., Conclusions: Our Australian population-based estimates are valuable when communicating average MBC risks to patients and planning clinical services and trials. Women with node-negative disease have a low risk of developing MBC, consistent with outcomes of adjuvant clinical trials. Regional disease at diagnosis remains an important prognostic factor.