| 1. |
- Hartkopf, Andreas D., et al.
(författare)
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Disseminated tumour cells from the bone marrow of early breast cancer patients : Results from an international pooled analysis
- 2021
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Ingår i: European Journal of Cancer. - : Elsevier BV. - 0959-8049. ; 154, s. 128-137
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Presence of disseminated tumour cells (DTCs) in the bone marrow (BM) has been described as a surrogate of residual disease in patients with early breast cancer (EBC). PADDY (Pooled Analysis of DTC Detection in Early Breast Cancer) is a large international analysis of pooled data that aimed to assess the prognostic impact of DTCs in patients with EBC. Experimental design: Individual patient data were collected from 11 centres. Patients with EBC and available follow-up data in whom BM sampling was performed at the time of primary diagnosis before receiving any anticancer treatment were eligible. DTCs were identified by antibody staining against epithelial cytokeratins. Multivariate Cox regression was used to compare the survival of DTC-positive versus DTC-negative patients. Results: In total, 10,307 patients were included. Of these, 2814 (27.3%) were DTC-positive. DTC detection was associated with higher tumour grade, larger tumour size, nodal positivity, oestrogen receptor and progesterone receptor negativity, and HER2 positivity (all p < 0.001). Multivariate analyses showed that DTC detection was an independent prognostic marker for overall survival, disease-free survival and distant disease-free survival with hazard ratios (HR) and 95% confidence intervals (CI) of 1.23 (95% CI: 1.06–1.43, p = 0.006), 1.30 (95% CI: 1.12–1.52, p < 0.001) and 1.30 (95% CI: 1.08–1.56, p = 0.006), respectively. There was no association between locoregional relapse-free survival and DTC detection (HR 1.21; 95% CI 0.68–2.16; p = 0.512). Conclusions: DTCs in the BM represent an independent prognostic marker in patients with EBC. The heterogeneous metastasis-initiating potential of DTCs is consistent with the concept of cancer dormancy.
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| 2. |
- Haugen, Mads H., et al.
(författare)
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Protein signature predicts response to neoadjuvant treatment with chemotherapy and bevacizumab in HER2-negative breast cancers
- 2021
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Ingår i: JCO Precision Oncology. - 2473-4284. ; 5, s. 286-306
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Tidskriftsartikel (refereegranskat)abstract
- PURPOSE Antiangiogenic therapy using bevacizumab has proven effective for a number of cancers; however, in breast cancer (BC), there is an unmet need to identify patients who benefit from such treatment. PATIENTS AND METHODS In the NeoAva phase II clinical trial, patients (N = 132) with large (= 25 mm) human epidermal growth factor receptor 2 (HER2)-negative primary tumors were randomly assigned 1:1 to treatment with neoadjuvant chemotherapy (CTx) alone or in combination with bevacizumab (Bev plus CTx). The ratio of the tumor size after relative to before treatment was calculated into a continuous response scale. Tumor biopsies taken prior to neoadjuvant treatment were analyzed by reverse-phase protein arrays (RPPA) for expression levels of 210 BC-relevant (phospho-) proteins. Lasso regression was used to derive a predictor of tumor shrinkage from the expression of selected proteins prior to treatment. RESULTS We identified a nine-protein signature score named vascular endothelial growth factor inhibition response predictor (ViRP) for use in the Bev plus CTx treatment arm able to predict with accuracy pathologic complete response (pCR) (area under the curve [AUC] = 0.85; 95% CI, 0.74 to 0.97) and low residual cancer burden (RCB 0/I) (AUC = 0.80; 95% CI, 0.68 to 0.93). The ViRP score was significantly lower in patients with pCR (P< .001) and in patients with low RCB (P<.001). The ViRP score was internally validated on mRNA data and the resultant surrogate mRNA ViRP score significantly separated the pCR patients (P = .016). Similarly, the mRNA ViRP score was validated (P < .001) in an independent phase II clinical trial (PROMIX). CONCLUSION Our ViRP score, integrating the expression of nine proteins and validated on mRNA data both internally and in an independent clinical trial, may be used to increase the likelihood of benefit from treatment with bevacizumab combined with chemotherapy in patients with HER2-negative BC.
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| 3. |
- Karakatsanis, Andreas, et al.
(författare)
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Axillary Staging in the Setting of a Preoperative Diagnosis of Ductal Cancer In Situ (DCIS) : Results of an International Expert Panel and a Critical Guideline Performance Using Frequentist and Bayesian Analysis
- 2020
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Ingår i: Annals of Surgical Oncology. - : Springer. - 1068-9265 .- 1534-4681. ; 27:Suppl. 2, s. S337-S338
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background/Objective: Sentinel lymph node biopsy (SLNB) is not routine in DCIS. Guidelines suggest SLNB when there is high risk for underlying invasion (large size, high grade, symptomatic lesion) or for detection failure (e.g., after mastectomy). However, guidelines and current practice patterns are inconsistent. Moreover, whilst SLNB is thought to be feasible and accurate after wide local excision (WLE), there is less consensus to support its use after oncoplastic breast-conserving surgery (OPBCS), which can reduce the need for mastectomy (Mx) and is gradually adopted as standard of care. The study aim was to assess if guidelines or individualized assessment result in optimal selection of patients for upfront SLNB.Methods: A panel of 28 international experts (20 surgeons, 8 oncologists, Europe 20, USA 5, Asia/Australia 3) was formed, all blind to the identity of the others. They reviewed anonymized patient cases from the SentiNot study (n=184, m. age 60 years, DCIS m. size 4 cm, Grade 2/3= 36%/64%, mass lesions 13,4%, underlying invasion 24.5%) and answer if they would consider upfront SLNB and why. Consensus and majority were set to >75 and >50%. At the same time, 6 independent raters (4 surgeons, 2 oncologists) reviewed guidelines and assessed the same patient cases per each guideline. Accuracy in relation to underlying invasion was assessed by Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) was reported. Agreement was investigated by kappa statistics and decision-making patterns by logistic multivariate regression and cluster analysis. To allow for flexibility and adaptation to current knowledge, both a frequentist and a Bayesian approach were undertaken. Priors were adjusted after a literature review regarding the factors that are commonly thought to be associated with higher risk for underlying invasion.Results: A total of 44,896 decisions were retrieved and analysed. The panel reached consensus/majority for upfront SLNB in 41.3/61.4%, whereas individual rates ranged from 11 to 100%. Agreement among panelists was low (kappa=0.37). In multivariate regression analysis for the entire panel, type of surgery was the most common determinant, (simple WLE=less, OPBCS=more and Mx=constant for SLNB), followed by symptomatic diagnosis and DCIS size. Most (26) members had a clear decision-making pattern regarding SLND, based mainly on DCIS size and type of surgery. Individual decision-making performed modestly in identifying patients with underlying invasion (AUC range 0,47-0,59), resulting mainly in overtreatment in 44-77% of patients. The panel performed similarly by majority (AUC 0,5) and by consensus (AUC 0,55) but “undertreated” 60-75% of patients with invasion, failing to identify them as "high-risk." After the recognition of different decision-making patterns, panelists were divided in subgroups with similar decision-making pattern. Analysis identified subgroups with difference in SLNB rate but not with better AUC. The disagreement among panelists in the same subgroups was significant, not only regarding which patients should undergo SLNB, but also on what factors that recommendation was based on. Eight guidelines with relevant recommendations were identified [USA (ASCO/NCCN), Europe (ESMO), Sweden, Denmark, UK, Netherlands and Italy, retrieval date May 2019]. Agreement among raters for each guideline separately varied (kappa: 0.23-0.9). Interpretation as to whether SLNB should be performed ranged widely (40-90%) and with varying concordance (32-88%). No guideline demonstrated accuracy (AUC range 0.45-0.55). Overtreatment risk was high (50-90%), whereas 10-50% of patients with invasion were not identified as “high- risk.” Agreement across guidelines was low (kappa=0.24), meaning that different patients had similar risk to be treated inaccurately, regardless of which guideline was examined.Conclusions: Individualized decision-making and guideline interpretation may be highly subjective and with low accuracy in terms of prediction of invasive disease, resulting in almost random risk for over- or undertreatment of the axilla in patients with DCIS. This suggests that current views and guidelines should be challenged. More accurate preoperative workup and novel techniques to allow for delayed SLNB may be of value in this setting.
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| 4. |
- Kristensen, Vessela N, et al.
(författare)
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Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling
- 2012
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 109:8, s. 2802-2807
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Tidskriftsartikel (refereegranskat)abstract
- We use an integrated approach to understand breast cancer heterogeneity by modeling mRNA, copy number alterations, microRNAs, and methylation in a pathway context utilizing the pathway recognition algorithm using data integration on genomic models (PARADIGM). We demonstrate that combining mRNA expression and DNA copy number classified the patients in groups that provide the best predictive value with respect to prognosis and identified key molecular and stromal signatures. A chronic inflammatory signature, which promotes the development and/or progression of various epithelial tumors, is uniformly present in all breast cancers. We further demonstrate that within the adaptive immune lineage, the strongest predictor of good outcome is the acquisition of a gene signature that favors a high T-helper 1 (Th1)/cytotoxic T-lymphocyte response at the expense of Th2-driven humoral immunity. Patients who have breast cancer with a basal HER2-negative molecular profile (PDGM2) are characterized by high expression of protumorigenic Th2/humoral-related genes (24-38%) and a low Th1/Th2 ratio. The luminal molecular subtypes are again differentiated by low or high FOXM1 and ERBB4 signaling. We show that the interleukin signaling profiles observed in invasive cancers are absent or weakly expressed in healthy tissue but already prominent in ductal carcinoma in situ, together with ECM and cell-cell adhesion regulating pathways. The most prominent difference between low and high mammographic density in healthy breast tissue by PARADIGM was that of STAT4 signaling. In conclusion, by means of a pathway-based modeling methodology (PARADIGM) integrating different layers of molecular data from whole-tumor samples, we demonstrate that we can stratify immune signatures that predict patient survival.
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| 5. |
- Lien, Tonje G., et al.
(författare)
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Sample preparation approach influences pam50 risk of recurrence score in early breast cancer
- 2021
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Ingår i: Cancers. - : MDPI AG. - 2072-6694. ; 13:23
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Tidskriftsartikel (refereegranskat)abstract
- The PAM50 gene expression subtypes and the associated risk of recurrence (ROR) score are used to predict the risk of recurrence and the benefits of adjuvant therapy in early-stage breast cancer. The Prosigna assay includes the PAM50 subtypes along with their clinicopathological fea-tures, and is approved for treatment recommendations for adjuvant hormonal therapy and chemotherapy in hormone-receptor-positive early breast cancer. The Prosigna test utilizes RNA extracted from macrodissected tumor cells obtained from formalin-fixed, paraffin-embedded (FFPE) tissue sections. However, RNA extracted from fresh-frozen (FF) bulk tissue without macrodissection is widely used for research purposes, and yields high-quality RNA for downstream analyses. To in-vestigate the impact of the sample preparation approach on ROR scores, we analyzed 94 breast carcinomas included in an observational study that had available gene expression data from macro-dissected FFPE tissue and FF bulk tumor tissue, along with the clinically approved Prosigna scores for the node-negative, hormone-receptor-positive, HER2-negative cases (n = 54). ROR scores were calculated in R; the resulting two sets of scores from FFPE and FF samples were compared, and treatment recommendations were evaluated. Overall, ROR scores calculated based on the macro-dissected FFPE tissue were consistent with the Prosigna scores. However, analyses from bulk tissue yielded a higher proportion of cases classified as normal-like; these were samples with relatively low tumor cellularity, leading to lower ROR scores. When comparing ROR scores (low, intermedi-ate, and high), discordant cases between the two preparation approaches were revealed among the luminal tumors; the recommended treatment would have changed in a minority of cases.
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| 6. |
- Nordgard, Silje H, et al.
(författare)
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Genome-wide analysis identifies 16q deletion associated with survival, molecular subtypes, mRNA expression, and germline haplotypes in breast cancer patients
- 2008
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Ingår i: Genes, Chromosomes and Cancer. - : Wiley. - 1045-2257 .- 1098-2264. ; 47:8, s. 680-696
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Tidskriftsartikel (refereegranskat)abstract
- Breast carcinomas are characterized by DNA copy number alterations (CNAs) with biological and clinical significance. This explorative study integrated CNA, expression, and germline genotype data of 112 early-stage breast cancer patients. Recurrent CNAs differed substantially between tumor subtypes classified according to expression pattern. Deletion of 16q was overrepresented in Luminal A, and a predictor of good prognosis, both overall and for the nonluminal A subgroups. The deleted region most significantly associated with survival mapped to 16q22.2, harboring the genes TXNL4B and DXH38, whose expression was strongly correlated with the deletion. The area most frequently deleted resided on 16q23.1, 3.5 MB downstream of the area most significantly associated with survival, and included the tumor suppressor gene ADAMTS18 and the cell recognition gene CNTNAP4. Whole-genome association analysis identified germline single nucleotide polymorphisms (SNPs) and their corresponding haplotypes, residing on several different chromosomes, to be associated with deletion of 16q. The genes where these SNPs reside encode proteins involved in the extracellular matrix (CHST3 and SPOCK2), in regulation of the cell cycle (JMY, PTPRN2, and Cwf19L2) and chromosome stability (KPNB1).
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| 7. |
- Staaf, Johan, et al.
(författare)
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RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer
- 2022
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Ingår i: npj Breast Cancer. - : Nature Publishing Group. - 2374-4677. ; 8:1
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Tidskriftsartikel (refereegranskat)abstract
- Multigene assays for molecular subtypes and biomarkers can aid management of early invasive breast cancer. Using RNA-sequencing we aimed to develop single-sample predictor (SSP) models for clinical markers, subtypes, and risk of recurrence (ROR). A cohort of 7743 patients was divided into training and test set. We trained SSPs for subtypes and ROR assigned by nearest-centroid (NC) methods and SSPs for biomarkers from histopathology. Classifications were compared with Prosigna in two external cohorts (ABiM, n = 100 and OSLO2-EMIT0, n = 103). Prognostic value was assessed using distant recurrence-free interval. Agreement between SSP and NC for PAM50 {five subtypes) was high (85%, Kappa = 0.78) for Subtype (four subtypes) very high {90%, Kappa = 0.84) and for ROR risk category high (84%, Kappa = 0.75, weighted Kappa = 0.90). Prognostic value was assessed as equivalent and clinically relevant. Agreement with histopathology was very high or high for receptor status, while moderate for Ki67 status and poor for Nottingham histological grade. SSP and Prosigna concordance was high for subtype (OSLO-EMIT0 83%, Kappa = 0.73 and ABiM 80%, Kappa = 0.72) and moderate and high for ROR risk category (68 and 84%, Kappa = 0.50 and 0.70, weighted Kappa = 0.70 and 0.78). Pooled concordance for emulated treatment recommendation dichotomized for chemotherapy was high (85%, Kappa = 0.66). Retrospective evaluation suggested that SSP application could change chemotherapy recommendations for up to 17% of postmenopausal ER+/HER2-/N0 patients with balanced escalation and de-escalation. Results suggest that NC and SSP models are interchangeable on a group-level and nearly so on a patient level and that SSP models can be derived to closely match clinical tests.
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| 8. |
- Tekpli, Xavier, et al.
(författare)
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An independent poor-prognosis subtype of breast cancer defined by a distinct tumor immune microenvironment
- 2019
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Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- How mixtures of immune cells associate with cancer cell phenotype and affect pathogenesis is still unclear. In 15 breast cancer gene expression datasets, we invariably identify three clusters of patients with gradual levels of immune infiltration. The intermediate immune infiltration cluster (Cluster B) is associated with a worse prognosis independently of known clinicopathological features. Furthermore, immune clusters are associated with response to neoadjuvant chemotherapy. In silico dissection of the immune contexture of the clusters identified Cluster A as immune cold, Cluster C as immune hot while Cluster B has a pro-tumorigenic immune infiltration. Through phenotypical analysis, we find epithelial mesenchymal transition and proliferation associated with the immune clusters and mutually exclusive in breast cancers. Here, we describe immune clusters which improve the prognostic accuracy of immune contexture in breast cancer. Our discovery of a novel independent prognostic factor in breast cancer highlights a correlation between tumor phenotype and immune contexture.
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