| 1. |
|
|
| 2. |
- Borg, Daniel, et al.
(författare)
-
Perinatal tissue distribution of perfluorooctane sulphonate (PFOS) in mice.
- 2009
-
Ingår i: Abstracts of the 46th Congress of the European Societies of Toxicology. - : Elsevier BV. ; 189:SI, s. S147-S147
-
Konferensbidrag (refereegranskat)abstract
- Perfluorooctane sulfonate (PFOS) is an industrial chemical that has been used as a surfactant and surface protector for more than fifty years. It has during the last decade emerged as an environmental contaminant due to its widespread presence in humans and wildlife and its persistant, bioaccumulative and toxic properties. PFOS is developmentally toxic and late in utero exposure in rodents affects neonatal survival and growth. Observed symptoms suggest impaired pulmonary function, but the cause of the mortality has not been clarified. The purpose of this study was to determine the perinatal tissue distribution of S35-labelled PFOS in mice using whole-body autoradiography (WBA) combined with liquid scintillation counting (LSC). Pregnant C57Bl/6 mice were dosed orally on gestation day (GD) 16 and sampled on GD18, GD20 and postnatal day (PND) 1 (dams + pups). The results from the WBA and the LSC were unequivocal. In dams, PFOS accumulated primarily in the liver, but also the lungs contained levels higher than the blood. PFOS was readily transferred to the fetus. At GD18 general PFOS levels were higher in the fetus than in the blood of the corresponding dam with accumulation in the liver. At GD20, general PFOS levels remained higher in the fetus than in the dam, with substantial accumulation also in the lung. The accumulation in the lung persisted at PND1. Our results show that the fetus is exposed to higher levels of PFOS than the dam and point towards the lung being the main perinatal target organ of PFOS.
|
|
| 3. |
- Brueffer, Christian, et al.
(författare)
-
Abstract P4-09-03: On the development and clinical value of RNA-sequencing-based classifiers for prediction of the five conventional breast cancer biomarkers: A report from the population-based multicenter SCAN-B study
- 2018
-
Ingår i: Cancer research. Supplement. - 1538-7445. ; 78:4
-
Konferensbidrag (refereegranskat)abstract
- Background:In early breast cancer, five histopathological biomarkers are part of current clinical routines and used for determining prognosis and treatment: estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (ERBB2/HER2), Ki67, and Nottingham histological grade (NHG). We aimed to develop classifiers for these biomarkers based on tumor mRNA-sequencing (RNA-seq), compare classification performance to conventional histopathology, and test whether RNA-seq-based predictors could add value for patient risk-stratification.Patients and Methods:In total, 3678 breast tumors were studied. For 405 breast tumors in the training cohort, a comprehensive histopathological biomarker evaluation was performed by three pathology readings to estimate inter-pathologist variability on the original diagnostic slides as well as on repeat immunostains for this study, and the consensus biomarker status for all five conventional biomarkers was determined. Whole transcriptome gene expression profiling was performed by RNA-sequencing on the Illumina platform. Using RNA-seq-derived tumor gene expression data as input, single-gene classifiers (SGC) and multi-gene classifiers (MGC) were trained on the consensus pathology biomarker labels. The trained classifiers were tested on an independent prospective population-based series of 3273 primary breast cancer cases from the multicenter SCAN-B study with median 41 months follow-up (ClinicalTrials.gov identifier NCT02306096), and classifications were evaluated by agreement statistics and by Kaplan-Meier and Cox regression survival analyses.Results:For the histopathological evaluation, pathologist evaluation concordance was high for ER, PgR, and HER2 (average kappa values of .920, .891, and .899, respectively), but moderate for Ki67 and NHG (.734 and .581). Classification concordance between RNA-seq classifiers and histopathology for the independent 3273-cohort was similar to that within histopathology assessments, with SGCs slightly outperforming MGCs. Importantly, patients with discordant results, classified as hormone responsive (HoR+) by histopathology but non-hormone responsive by MGC, presented with significantly inferior overall survival compared to patients with concordant results. These results extended to patients with no adjuvant systemic therapy (hazard ratio, HR, 4.54; 95% confidence interval, CI, 1.42-14.5), endocrine therapy alone (HR 3.46; 95% CI, 2.01-5.95), or receiving chemotherapy (HR 2.57; 95% CI 1.13-5.86). For HoR+ cases receiving endocrine therapy alone, the MGC HoR classifier remained significant after multivariable adjustment (HR 3.14; 95% CI, 1.75-5.65).Conclusions:RNA-seq-based classifiers for the five key early breast cancer biomarkers were generally equivalent to conventional histopathology with regards to classification error rate. However, when benchmarked using overall survival, our RNA-seq classifiers provided added clinical value in particular for cases that are determined by histopathology to be hormone-responsive but by RNA-seq appear hormone-insensitive and have a significantly poorer outcome when treated with endocrine therapy alone
|
|
| 4. |
|
|
| 5. |
|
|
| 6. |
- Ehinger, Anna, et al.
(författare)
-
Myoepithelium assessment with p63 immunostaining in formalinfixed paraffin-embedded breast cancer tissue pre-treated with RNA-later
- 2017
-
Ingår i: Virchows Archiv. - : Springer Science and Business Media LLC. - 1432-2307 .- 0945-6317. ; 471:Supplement 1, s. 299-299
-
Konferensbidrag (refereegranskat)abstract
- Objective: To assessmyoepithelium with p63 in fresh breast cancer (BC)tissue samples collected in RNA later for further analysis with NextGeneration Sequencing (NGS) technique. For a better understanding ofthe NGS bulk-analysis, a central part of the sample in RNA-later isformalin-fixed paraffin-embedded to score relative cellularity in % onhematoxylin-eosin (HE) staining (% of invasive cancer, cancer in situ,benign epithelium, lymphocytes and fat). Our aim is hence to test p63immunohistochemistry (IHC) to highlight myoepithelium and to facilitatethe evaluation of the relative cellularity on BC-tissue pre-treated withRNA-later.Method: Two-hundred and twenty-four selected samples of fresh BCtissue collected in RNA-later. A 10 mg central piece from each samplewas FFPE and assembled in a tissue-microarray (TMA) and sectioned toHE and p63 IHC.Results: All samples (n = 224) had internal control for myoepitheliumsurrounding in situ cancer or benign epithelium. p63 showed positivenuclear staining in myoepithelial cells in 92 % (206/224) of samplesand false negative p63 staining in 8 % (18/224).Conclusion: p63 IHC is assessable in samples of FFPE BC-tissue pretreatedwith RNA-later.
|
|
| 7. |
|
|
| 8. |
|
|
| 9. |
- Loman, Niklas, et al.
(författare)
-
Abstract P2-02-09: Breast cancer subtype distribution and circulating tumor DNA in response to neoadjuvant chemotherapy: Experiences from a preoperative cohort within SCAN-B
- 2018
-
Ingår i: Cancer research. Supplement. - 1538-7445. ; 78:4
-
Konferensbidrag (refereegranskat)abstract
- Introduction: Preoperative chemotherapy in early breast cancer increases the rate of breast preservation and provides prognostic information. In the case of residual disease, a change in subtypes may be observed. Sensitive and reproducible biomarkers predicting treatment response early during the treatment course are needed in order to better exploit the potential benefit of an individualized preoperative treatment.Material and Methods: In an ongoing prospective study within the population-based SCAN-B project (NCT02306096), patients undergoing preoperative chemotherapy for early or locally recurrent breast cancer have been treated with iv Epirubicin and Cyclophosphamide q3w x 3 in sequence with either Docetaxel q3w x 3 or Paclitaxel q1w x 9 with a preoperative intent. HER2-positive cases also received HER2-directed treatment. At baseline, patients were staged using sentinel node biopsy for clinically node-negative patients and CT scan for cytologically confirmed node-positive cases. A clinical core needle biopsy as well as tissue from the surgical specimen was collected for determination of conventional biomarkers including ER, PgR, HER2 and Ki67. Tumor biopsies for biomolecule-extraction and RNA-sequencing were taken using ultrasound guidance and collected fresh in RNAlater at baseline, after 2 treatment cycles, as well as at surgery. Blood plasma samples were collected at baseline, after one-, three-, and six- 3w treatment cycles, and post-surgery. Using RNA-sequencing data, somatic mutations were identified in the tumor biopsies and personalized analyses for circulating tumor DNA (ctDNA) were performed. A pathological complete remission (pCR) was defined as the complete disappearance of invasive breast cancer in the breast and axilla at time of definitive surgery. Subtyping was performed using modified St Gallen criteria (2013).Results: Thus far, 45 patients aged 24-74 years have been included, of which 34 (76 %) were clinical stage 2 and 11 (24%) were stage 3. The subtype distribution at baseline was five Luminal A-like (11 %), 21 Luminal B-like (HER2 negative) (47 %), 8 HER2-positive (18 %) and 11 Triple-negative (ductal) (24 %). The rates of pCR in 38 operated cases to date were 0/3 Luminal A-like, 3/19 Luminal B-like (HER2 negative), 2/8 HER2-positive, and 4/7 Triple-negative (overall 24 % pCR rate). One patient did not undergo surgery due to clinically progressive disease. In 25 cases with evaluable residual disease at surgery, there was a shift in the subtype in 13 (52 %), the majority of which represented a transition from Luminal B to Luminal A. No Triple-negative cases underwent a change in subtype during treatment. Results of the ctDNA analyses will be presented at the meeting.Discussion: We have established an infrastructure allowing for an extensive evaluation of preoperative chemotherapy in early breast cancer. The goal is to develop methods to refine response-guided treatment in early breast cancer using molecular responses in the tumor as well as in the blood circulation. The patients continue to be prospectively monitored with iterative ctDNA analyses during follow-up.
|
|
| 10. |
|
|
