ABSTRACT
The human eye can distinguish as many as 10,000 different colours but is far less sensitive to variations in intensity1, meaning that colour is highly desirable when interpreting images. However, most biological samples are essentially transparent, and nearly invisible when viewed using a standard optical microscope2. It is therefore highly desirable to be able to produce coloured images without needing to add any stains or dyes, which can alter the sample properties. Here we demonstrate that colorimetric histology images can be generated using full-sized plasmonically active microscope slides. These slides translate subtle changes in the dielectric constant into striking colour contrast when samples are placed upon them. We demonstrate the biomedical potential of this technique, which we term histoplasmonics, by distinguishing neoplastic cells from normal breast epithelium during the earliest stages of tumorigenesis in the mouse MMTV-PyMT mammary tumour model. We then apply this method to human diagnostic tissue and validate its utility in distinguishing normal epithelium, usual ductal hyperplasia, and early-stage breast cancer (ductal carcinoma in situ). The colorimetric output of the image pixels is compared to conventional histopathology. The results we report here support the hypothesis that histoplasmonics can be used as a novel alternative or adjunct to general staining. The widespread availability of this technique and its incorporation into standard laboratory workflows may prove transformative for applications extending well beyond tissue diagnostics. This work also highlights opportunities for improvements to digital pathology that have yet to be explored.
Subject(s)
Colorimetry/instrumentation , Colorimetry/methods , Histological Techniques/instrumentation , Microscopy/instrumentation , Animals , Breast Neoplasms/pathology , Carcinoma, Intraductal, Noninfiltrating/pathology , Cohort Studies , Disease Models, Animal , Female , Humans , Ki-67 Antigen/analysis , Mice , Mice, Inbred C57BLABSTRACT
Various histopathological, clinical and imaging parameters have been evaluated to identify a subset of women diagnosed with lesions with uncertain malignant potential (B3 or BIRADS 3/4A lesions) who could safely be observed rather than being treated with surgical excision, with little impact on clinical practice. The primary reason for surgery is to rule out an upgrade to either ductal carcinoma in situ or invasive breast cancer, which occurs in up to 30% of patients. We hypothesised that the stromal immune microenvironment could indicate the presence of carcinoma associated with a ductal B3 lesion and that this could be detected in biopsies by counting lymphocytes as a predictive biomarker for upgrade. A higher number of lymphocytes in the surrounding specialised stroma was observed in upgraded ductal and papillary B3 lesions than non-upgraded (p < 0.01, negative binomial model, n = 307). We developed a model using lymphocytes combined with age and the type of lesion, which was predictive of upgrade with an area under the curve of 0.82 [95% confidence interval 0.77-0.87]. The model can identify some patients at risk of upgrade with high sensitivity, but with limited specificity. Assessing the tumour microenvironment including stromal lymphocytes may contribute to reducing unnecessary surgeries in the clinic, but additional predictive features are needed.
Subject(s)
Breast Neoplasms , Lymphocytes , Stromal Cells , Tumor Microenvironment , Humans , Female , Breast Neoplasms/pathology , Breast Neoplasms/immunology , Tumor Microenvironment/immunology , Middle Aged , Aged , Lymphocytes/immunology , Lymphocytes/pathology , Stromal Cells/pathology , Adult , Neoplasm Grading , Lymphocytes, Tumor-Infiltrating/immunology , Lymphocytes, Tumor-Infiltrating/metabolism , Carcinoma, Intraductal, Noninfiltrating/pathology , Carcinoma, Intraductal, Noninfiltrating/immunology , Carcinoma, Ductal, Breast/pathology , Carcinoma, Ductal, Breast/immunology , Biomarkers, TumorABSTRACT
BACKGROUND: BreastScreen Australia, the population mammographic screening program for breast cancer, uses two-view digital screening mammography ± ultrasound followed by percutaneous biopsy to detect breast cancer. Secondary breast imaging for further local staging, not performed at BreastScreen, may identify additional clinically significant breast lesions. Staging options include further mammography, bilateral ultrasound, and/or contrast-based imaging (CBI) [magnetic resonance imaging (MRI) or contrast-enhanced mammography (CEM)]. CBI for local staging of screen-detected cancer was introduced at an academic hospital breast service in Melbourne, VIC, Australia. We report findings for otherwise occult disease and resulting treatment changes. MATERIAL AND METHODS: Patients staged using CEM between November 2018 and April 2022 were identified from hospital records. Data were extracted from radiology, pathology, and breast unit databases. CEM-detected abnormalities were documented as true positive (TP) for invasive cancer or ductal carcinoma in situ (DCIS), or otherwise false positive (FP). The impact on surgical decisions was assessed. RESULTS: Of 202 patients aged 44-84 years, 60 (30%) had 74 additional findings [34 (46%) TP, 40 (54%) FP]. These were malignant in 29/202 (14%) patients (79% invasive cancers, 21% DCIS). CEM resulted in surgical changes in 43/202 (21%) patients: wider resection (24/43), conversion to mastectomy (6/43), contralateral breast surgery (6/43), additional ipsilateral excision (5/43), and bracketing (2/43). Additional findings were more common for patients with larger index lesions and for invasive cancer, but there was no significant variation by age, breast density, or index lesion grade. CONCLUSIONS: CEM for local staging of screen-detected breast cancers identified occult malignancy in 14% of patients. CEM improves local staging and may facilitate appropriate management of screen-detected breast cancers.
ABSTRACT
PURPOSE: Safe de-intensification of adjuvant radiotherapy (RT) for early breast cancer (BC) is currently under evaluation. Little is known about the patient experience of de-escalation or its association with fear of cancer recurrence (FCR), a key issue in survivorship. We conducted a cross-sectional study to explore this association. METHODS: Psychometrically validated measures including the Fear of Cancer Recurrence Inventory-Short Form were completed by three groups of women with early BC: Women in the PROSPECT clinical trial who underwent pre-surgical MRI and omitted RT (A), women who underwent pre-surgical MRI and received RT (B); and women who received usual care (no MRI, received RT; C). Between group differences were analysed with non-parametric tests. A subset from each group participated in a semi-structured interview. These data (n = 44) were analysed with directed content analysis. RESULTS: Questionnaires from 400 women were analysed. Significantly lower FCR was observed in Group A (n = 125) than in Group B (n = 102; p = .002) or Group C (n = 173; p = .001), and when participants were categorized by RT status (omitted RT vs received RT; p < .001). The proportion of women with normal FCR was significantly (p < .05) larger in Group A (62%) than in Group B (35%) or Group C (40%). Two qualitative themes emerged: 'What I had was best' and 'Coping with FCR'. CONCLUSIONS: Omitting RT in the setting of the PROSPECT trial was not associated with higher FCR than receiving RT. Positive perceptions about tailored care, lower treatment burden, and trust in clinicians appear to be protective against FCR.
Subject(s)
Breast Neoplasms , Female , Humans , Adaptation, Psychological , Breast Neoplasms/epidemiology , Breast Neoplasms/radiotherapy , Cross-Sectional Studies , Fear , Radiotherapy, Adjuvant/adverse effectsABSTRACT
BACKGROUND: Adjuvant radiotherapy (RT) after breast-conserving surgery for DCIS lowers the relative local recurrence risk by half. To identify a low-risk group with the minimal benefit of RT could avoid side effects and spare costs. In this study, the outcome was compared for different RT-strategies using data from the randomized SweDCIS trial. MATERIAL AND METHODS: Five strategies were compared in a Swedish setting: RT-to-none or all, RT to high-risk women defined by DCISionRT, modified Radiation Therapy Oncology Group (RTOG) 9804 criteria, and Swedish Guidelines. Ten-year recurrence risks and cost including adjuvant RT and local recurrence treatment cost were calculated. RESULTS: The mean age at recurrence was 64.4 years (36-90) and the mean cost for treating a recurrence was $21,104. In the SweDCIS cohort (n = 504), 59 women developed DCIS, and 31 invasive recurrence. Ten-year absolute local recurrence risk (invasive and DCIS) according to different strategies varied between 18.6% (12.5-23.6%) and 7.8% (5.0-12.6%) for RT-to-none or to-all, with an additional cost of $2614 US dollars per women and $24,201 per prevented recurrence for RT-to-all. The risk differences between other strategies were not statistically significant, but the larger proportion receiving RT, the fewer recurrences. DCISionRT spared 48% from RT with 8.1% less recurrences compared to RT-to-none, and a cost of $10,534 per prevented recurrence with additional cost depending on the price of the test. RTOG 9804 spared 39% from RT, with 9.7% less recurrences, $9525 per prevented recurrence and Swedish Guidelines spared 13% from RT, with 10.0% less recurrences, and $21,521 per prevented recurrence. CONCLUSION: It seems reasonable to omit RT in pre-specified low-risk groups with minimal effect on recurrence risk. Costs per prevented recurrence varied more than two-fold but which strategy that could be considered most cost-effective needs to be further evaluated, including the DCISionRT-test price.
Subject(s)
Breast Neoplasms , Carcinoma in Situ , Carcinoma, Ductal, Breast , Carcinoma, Intraductal, Noninfiltrating , Radiation Oncology , Humans , Female , Carcinoma, Intraductal, Noninfiltrating/surgery , Mastectomy, Segmental , Carcinoma in Situ/pathology , Radiotherapy, Adjuvant , Breast Neoplasms/surgery , Neoplasm Recurrence, Local/surgery , Carcinoma, Ductal, Breast/pathologyABSTRACT
OBJECTIVE: To determine the feasibility of universal genetic testing of women with newly diagnosed breast cancer, to estimate the incidence of pathogenic gene variants and their impact on patient management, and to evaluate patient and clinician acceptance of universal testing. DESIGN, SETTING, PARTICIPANTS: Prospective study of women with invasive or high grade in situ breast cancer and unknown germline status discussed at the Parkville Breast Service (Melbourne) multidisciplinary team meeting. Women were recruited to the pilot (12 June 2020 - 22 March 2021) and expansion phases (17 October 2021 - 8 November 2022) of the Mutational Assessment of newly diagnosed breast cancer using Germline and tumour genomICs (MAGIC) study. MAIN OUTCOME MEASURES: Germline testing by DNA sequencing, filtered for nineteen hereditary breast and ovarian cancer genes that could be classified as actionable; only pathogenic variants were reported. Surveys before and after genetic testing assessed pilot phase participants' perceptions of genetic testing, and psychological distress and cancer-specific worry. A separate survey assessed clinicians' views on universal testing. RESULTS: Pathogenic germline variants were identified in 31 of 474 expanded study phase participants (6.5%), including 28 of 429 women with invasive breast cancer (6.5%). Eighteen of the 31 did not meet current genetic testing eligibility guidelines (probability of a germline pathogenic variant ≥ 10%, based on CanRisk, or Manchester score ≥ 15). Clinical management was changed for 24 of 31 women after identification of a pathogenic variant. Including 68 further women who underwent genetic testing outside the study, 44 of 542 women carried pathogenic variants (8.1%). Acceptance of universal testing was high among both patients (90 of 103, 87%) and clinicians; no decision regret or adverse impact on psychological distress or cancer-specific worry were reported. CONCLUSION: Universal genetic testing following the diagnosis of breast cancer detects clinically significant germline pathogenic variants that might otherwise be missed because of testing guidelines. Routine testing and reporting of pathogenic variants is feasible and acceptable for both patients and clinicians.
Subject(s)
Breast Neoplasms , Humans , Female , Breast Neoplasms/diagnosis , Breast Neoplasms/genetics , Prospective Studies , Genetic Predisposition to Disease , Genetic Testing , Patient Care TeamABSTRACT
PURPOSE: Genomic tests improve accuracy of risk prediction for early breast cancers but these are expensive. This study evaluated the clinical utility of EndoPredict®, in terms of impact on adjuvant therapy recommendations and identification of parameters to guide selective application. METHODS: Patients with ER-positive, HER2-negative, and early-stage invasive breast cancer were tested with EndoPredict®. Two cohorts were recruited: one consecutively and another at clinical team discretion. Systemic treatment recommendations were recorded before and after EndoPredict® results were revealed to the multidisciplinary team. RESULTS: 233 patients were recruited across five sites: 123 consecutive and 110 at clinical team discretion. In the consecutive cohort 50.6% (62/123) cases were classified high risk of recurrence by EndoPredict®, compared with 62.7% (69/110) in the selective cohort. A change in treatment recommendation was significantly more likely (p < 0.0001) in the selective cohort (43/110, 39.1%) compared to the consecutive group (11/123, 8.9%). The strongest driver of selective recruitment was intermediate grade histology, whilst logistic regression modelling demonstrated that nodal status (p < 0.001), proliferative rate (p = 0.001), and progesterone receptor positivity (p < 0.001) were the strongest discriminators of risk. CONCLUSION: Whilst molecular risk can be predicted by traditional variables in a high proportion of cases, EndoPredict® had a greater impact on treatment decisions in those cases selected for testing at team discretion. This is indicative of the robust ability of the clinical team to identify cases most likely to benefit from testing, underscoring the value of genomic tests in the oncologists' tool kit.
Subject(s)
Breast Neoplasms , Physicians , Breast Neoplasms/diagnosis , Breast Neoplasms/drug therapy , Breast Neoplasms/genetics , Chemotherapy, Adjuvant , Cohort Studies , Female , Genomics , Humans , Prognosis , Receptor, ErbB-2/genetics , Receptors, Estrogen/geneticsABSTRACT
The current model for breast cancer progression proposes independent 'low grade (LG)-like' and 'high grade (HG)-like' pathways but lacks a known precursor to HG cancer. We applied low-coverage whole-genome sequencing to atypical ductal hyperplasia (ADH) with and without carcinoma to shed light on breast cancer progression. Fourteen out of twenty isolated ADH cases harboured at least one copy number alteration (CNA), but had fewer aberrations than LG or HG ductal carcinoma in situ (DCIS). ADH carried more HG-like CNA than LG DCIS (e.g. 8q gain). Correspondingly, 64% (7/11) of ADH cases with synchronous HG carcinoma were clonally related, similar to LG carcinoma (67%, 6/9). This study represents a significant shift in our understanding of breast cancer progression, with ADH as a common precursor lesion to the independent 'low grade-like' and 'high grade-like' pathways. These data suggest that ADH can be a precursor of HG breast cancer and that LG and HG carcinomas can evolve from a similar ancestor lesion. We propose that although LG DCIS may be committed to a LG molecular pathway, ADH may remain multipotent, progressing to either LG or HG carcinoma. This multipotent nature suggests that some ADH cases could be more clinically significant than LG DCIS, requiring biomarkers for personalising management. Copyright © 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Subject(s)
Breast Neoplasms/pathology , Carcinoma, Ductal, Breast/pathology , Carcinoma, Intraductal, Noninfiltrating/pathology , Hyperplasia/pathology , Breast/pathology , Breast Carcinoma In Situ/pathology , Carcinoma in Situ/pathology , Female , Humans , Precancerous Conditions/pathologyABSTRACT
Breast cancer (BC) diagnosed after a negative mammogram but prior to the next screening episode is termed an 'interval BC' (IBC). Understanding the molecular differences between IBC and screen-detected BCs (SDBC) could improve mammographic screening and management options. Therefore, we assessed both germline and somatic genomic aberrations in a prospective cohort. Utilising the Lifepool cohort of >54 000 women attending mammographic screening programs, 930 BC cases with screening status were identified (726 SDBC and 204 IBC). Clinico-pathological and family history information were recorded. Germline and tumour DNA were collected where available and sequenced for BC predisposition and driver gene mutations. Compared to SDBC, IBCs were significantly associated with a younger age at diagnosis and tumour characteristics associated with worse prognosis. Germline DNA assessment of BC cases that developed post-enrolment (276 SDBCs and 77 IBCs) for pathogenic mutations in 12 hereditary BC predisposition genes identified 8 carriers (2.27%). The germline mutation frequency was higher in IBC versus SDBC, although not statistically significant (3.90% versus 1.81%, p = 0.174). Comparing somatic genetic features of IBC and SDBC matched for grade, histological subtype and hormone receptor revealed no significant differences, with the exception of higher homologous recombination deficiency scores in IBC, and copy number changes on chromosome Xq in triple negative SDBCs. Our data demonstrates that while IBCs are clinically more aggressive than SDBC, when matched for confounding clinico-pathological features they do not represent a unique molecular class of invasive BC, but could be a consequence of timing of tumour initiation and mammographic screening. Copyright © 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Subject(s)
Biomarkers, Tumor/genetics , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/genetics , Early Detection of Cancer/methods , Germ-Line Mutation , Mammography , Adult , Aged , Aged, 80 and over , DNA Copy Number Variations , Female , Gene Dosage , Genetic Predisposition to Disease , Humans , Middle Aged , Mutation Rate , Phenotype , Predictive Value of Tests , Prognosis , Prospective Studies , Registries , VictoriaABSTRACT
OBJECTIVE: To explore the communication and resource needs of mothers diagnosed with breast cancer treated with curative intent in communicating with their young children and to identify gaps in the resources and support provided to these women. METHODS: Data were collected via semi-structured telephone interviews from 13 mothers who were diagnosed with breast cancer while parenting a young child (age 3-12 years), and 10 health professionals in Victoria, Australia. Data were analysed qualitatively using the Framework Method. RESULTS AND CONCLUSION: Mothers and health professionals prioritised communication with children about the cancer diagnosis; however, health professionals and mothers differed in their views of parents' communication needs both in terms of the nature of the support/information needed and the delivery of this support/information. Mothers wanted easily accessible resources that were both instructive and practical. Mothers also emphasised quality over quantity of support. Health professionals were mostly aware of mothers' needs, however, emphasised less instructive support and information. This study highlights the need for improved coordination and tailoring of psychosocial resources and supports for these parents and families communicating about a cancer diagnosis with their young children.
Subject(s)
Breast Neoplasms/psychology , Communication , Health Personnel/psychology , Health Resources , Mothers/psychology , Adult , Attitude to Health , Breast Neoplasms/diagnosis , Child , Child, Preschool , Female , Humans , Middle Aged , Parenting/psychology , Psycho-Oncology , Qualitative Research , VictoriaSubject(s)
COVID-19 , Neoplasms , Humans , Neoplasms/epidemiology , Neoplasms/therapy , SARS-CoV-2 , Australia/epidemiologyABSTRACT
The spectrum of genomic alterations in ductal carcinoma in situ (DCIS) is relatively unexplored, but is likely to provide useful insights into its biology, its progression to invasive carcinoma and the risk of recurrence. DCIS (n=20) with a range of phenotypes was assessed by massively parallel sequencing for mutations and copy number alterations and variants validated by Sanger sequencing. PIK3CA mutations were identified in 11/20 (55%), TP53 mutations in 6/20 (30%), and GATA3 mutations in 9/20 (45%). Screening an additional 91 cases for GATA3 mutations identified a final frequency of 27% (30/111), with a high proportion of missense variants (8/30). TP53 mutations were exclusive to high grade DCIS and more frequent in PR-negative tumors compared with PR-positive tumors (P=0.037). TP53 mutant tumors also had a significantly higher fraction of the genome altered by copy number than wild-type tumors (P=0.005), including a significant positive association with amplification or gain of ERBB2 (P<0.05). The association between TP53 mutation and ERBB2 amplification was confirmed in a wider DCIS cohort using p53 immunohistochemistry as a surrogate marker for TP53 mutations (P=0.03). RUNX1 mutations and MAP2K4 copy number loss were novel findings in DCIS. Frequent copy number alterations included gains on 1q, 8q, 17q, and 20q and losses on 8p, 11q, 16q, and 17p. Patterns of genomic alterations observed in DCIS were similar to those previously reported for invasive breast cancers, with all DCIS having at least one bona fide breast cancer driver event. However, an increase in GATA3 mutations and fewer copy number changes were noted in DCIS compared with invasive carcinomas. The role of such alterations as prognostic and predictive biomarkers in DCIS is an avenue for further investigation.
Subject(s)
Breast Neoplasms/genetics , Carcinoma, Intraductal, Noninfiltrating/genetics , Mutation , Adult , Aged , Aged, 80 and over , Breast Neoplasms/pathology , Carcinoma, Intraductal, Noninfiltrating/pathology , Class I Phosphatidylinositol 3-Kinases/genetics , DNA Copy Number Variations , Female , GATA3 Transcription Factor/genetics , Humans , Middle Aged , Receptor, ErbB-2/genetics , Tumor Suppressor Protein p53/geneticsABSTRACT
We aimed to develop a user-centered, web-based, decision support tool for breast cancer risk assessment and personalized risk management. Using a novel model choice algorithm, iPrevent(®) selects one of two validated breast cancer risk estimation models (IBIS or BOADICEA), based on risk factor data entered by the user. Resulting risk estimates are presented in simple language and graphic formats for easy comprehension. iPrevent(®) then presents risk-adapted, evidence-based, guideline-endorsed management options. Development was an iterative process with regular feedback from multidisciplinary experts and consumers. To verify iPrevent(®), risk factor data for 127 cases derived from the Australian Breast Cancer Family Study were entered into iPrevent(®), IBIS (v7.02), and BOADICEA (v3.0). Consistency of the model chosen by iPrevent(®) (i.e., IBIS or BOADICEA) with the programmed iPrevent(®) model choice algorithm was assessed. Estimated breast cancer risks from iPrevent(®) were compared with those attained directly from the chosen risk assessment model (IBIS or BOADICEA). Risk management interventions displayed by iPrevent(®) were assessed for appropriateness. Risk estimation model choice was 100 % consistent with the programmed iPrevent(®) logic. Discrepant 10-year and residual lifetime risk estimates of >1 % were found for 1 and 4 cases, respectively, none was clinically significant (maximal variation 1.4 %). Risk management interventions suggested by iPrevent(®) were 100 % appropriate. iPrevent(®) successfully integrates the IBIS and BOADICEA risk assessment models into a decision support tool that provides evidence-based, risk-adapted risk management advice. This may help to facilitate precision breast cancer prevention discussions between women and their healthcare providers.
Subject(s)
Breast Neoplasms/prevention & control , Evidence-Based Medicine/methods , Algorithms , Australia , Female , Humans , Internet , Models, Statistical , Precision Medicine , Risk Assessment , Risk Factors , User-Computer InterfaceSubject(s)
Neoplasms , Parenting , Child , Feasibility Studies , Humans , Neoplasms/therapy , Parent-Child Relations , ParentsSubject(s)
Breast Neoplasms/diagnosis , Breast Neoplasms/genetics , Early Detection of Cancer/methods , Genetic Testing , Early Detection of Cancer/economics , Female , Genes, BRCA1 , Genes, BRCA2 , Genetic Predisposition to Disease , Genetic Testing/economics , Germ-Line Mutation , Health Care Costs , HumansABSTRACT
To capitalise on advances in breast cancer prevention, all women would need to have their breast cancer risk formally assessed. With ~85% of Australians attending primary care clinics at least once a year, primary care is an opportune location for formal breast cancer risk assessment and management. This study assessed the current practice and needs of primary care clinicians regarding assessment and management of breast cancer risk. Two facilitated focus group discussions were held with 17 primary care clinicians (12 GPs and 5 practice nurses (PNs)) as part of a larger needs assessment. Primary care clinicians viewed assessment and management of cardiovascular risk as an intrinsic, expected part of their role, often triggered by practice software prompts and facilitated by use of an online tool. Conversely, assessment of breast cancer risk was not routine and was generally patient- (not clinician-) initiated, and risk management (apart from routine screening) was considered outside the primary care domain. Clinicians suggested that routine assessment and management of breast cancer risk might be achieved if it were widely endorsed as within the remit of primary care and supported by an online risk-assessment and decision aid tool that was integrated into primary care software. This study identified several key issues that would need to be addressed to facilitate the transition to routine assessment and management of breast cancer risk in primary care, based largely on the model used for cardiovascular disease.
Subject(s)
Breast Neoplasms/prevention & control , Practice Patterns, Physicians'/statistics & numerical data , Primary Health Care/organization & administration , Risk Assessment , Adult , Australia , Cardiovascular Diseases/prevention & control , Female , Focus Groups , Humans , Middle AgedABSTRACT
Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive breast cancer and a frequent mammographic finding requiring treatment. Up to 25% of DCIS can recur and half of recurrences are invasive, but there are no reliable biomarkers for recurrence. We hypothesised that copy number aberrations could predict likelihood of recurrence. We analysed a cohort of pure DCIS cases treated only with wide local excision for genome-wide copy number and loss of heterozygosity using Affymetrix OncoScan MIP arrays. Cases included those without recurrence within 7 years (n = 25) and with recurrence between 1 and 5 years after diagnosis (n = 15). Pure DCIS were broadly similar in copy number changes compared with invasive breast cancer, with the consistent exception of a greater frequency of ERBB2 amplification in DCIS. There were no significant differences in age or ER status between the cases with a recurrence vs those without. Overall, the DCIS cases with recurrence had more copy number events than the DCIS without recurrence. The increased copy number appeared non-random with several genomic regions showing an increase in frequency in recurrent cases, including 20 q gain, ERBB2 amplification and 15q loss. Copy number changes may provide prognostic information for DCIS recurrence, but validation in additional cohorts is required.
Subject(s)
Breast Neoplasms/genetics , Carcinoma, Intraductal, Noninfiltrating/genetics , Neoplasm Recurrence, Local/genetics , Aged , Female , Gene Dosage , Humans , Immunohistochemistry , Middle Aged , Oligonucleotide Array Sequence Analysis , Polymerase Chain ReactionABSTRACT
PURPOSE: The purposes of this study are to examine the course and prevalence of anxiety and depression over 24 months in women with newly diagnosed breast and gynaecologic cancer and, controlling for demographic and clinical confounders, to test the role of neuroticism and psychiatric history in determining outcome 6, 12, 18 and 24 months post-diagnosis. METHODS: Participants completed the Hospital Anxiety and Depression Scale-anxiety subscale and Centre for Epidemiological Studies Depression Scale on an 8-weekly basis from diagnosis until 96 weeks. Changes over time were analyzed with repeated measures ANOVA. Hierarchical linear regression, adjusted a priori for age, chemotherapy and radiation treatment, living alone, education and tumour stream were used to predict anxiety and depression. RESULTS: Participants were 105 women (66 breast, 39 gynaecologic). Rates of anxiety (18.1 %) and depression (33.3 %) were highest at diagnosis. Average rates of anxiety and depression were 5.9 and 22.4 %, respectively. Average scores of anxiety and depression were highest at diagnosis, with improvement at 8 and 40 weeks, respectively, subsequently maintained. Morbidity at diagnosis was particularly acute among women with a treatment history of anxiety/depression or with high neuroticism. These three variables were the best and only predictors over 24 months. CONCLUSIONS: Women are most vulnerable to anxiety and depression at diagnosis, with improvement over time. Morbidity rates are lower than reported elsewhere. Women with high neuroticism and a psychiatric history are at greatest risk for future morbidity after adjusting for confounders. Early identification of these women plus heightened surveillance or early referral to psychosocial services may protect against longer-term morbidity.