Publications

Study (title, author, year)Summary and resultsLink
Roy-Chowdhuri S, et al. Concurrent fine needle aspirations and core needle biopsies: a comparative study of substrates for next-generation sequencing in solid organ malignancies. Mod Pathol. 2017 Apr;30(4):499-508.
The study shows that FNA often gives better cellularity, better molecular data and higher tumor cell fraction than CNB. Cytological samples should therefore be better integrated into workflows for clinically relevant molecular analysis.
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Ullal AV, et al. Cancer cell profiling by barcoding allows multiplexed protein analysis in fine-needle aspirates. Sci Transl Med. (2014) 6 (219): 219ra9.
A new molecular FNA-based assay is demonstrated that can be used as a clinical tool to identify responses to molecularly targeted drugs and to predict drug response in patient samples.
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Schoenberg SO, et al. Developing a Roadmap for Interventional Oncology. Oncologist. 2018 Jun 29.
Interventional oncology is crucial for the diagnosis of cancer, treatment and symptom relief. This report focuses on current interventional procedures and techniques (including FNA) that support future improvements in cancer care.
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Franzén B., et al. A fine needle aspirationbased protein signature discriminates benign from malignant breast lesions. Mol. Oncol., July, 2018.
The study shows that FNA-based molecular analyzes can offer high sensitivity and reproducibility, can provide accurate diagnosis for a shorter time, and at a lower cost than current practice, correlate with results from routine analysis, can help identify new markers related to immunotherapy, and can, via a protein signature distinguish between cancer and benign changes.
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Sennerstam RB, et al. Core-needle biopsy of breast cancer is associated with a higher rate of distant metastases 5 to 15 years after diagnosis than FNA biopsy. Cancer Cytopathol. 2017 Oct;125(10):748-756.
The study found that from 5 to 15 years after diagnosis of the primary tumor, CNB-diagnosed patients had significantly higher frequencies of remote metastasis than FNA-diagnosed patients.
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Wiksell H, et al. A new specially designed needle significantly increases sample yield during fine needle aspiration of breast lesions. Phys Med. 2009 Mar;25(1):47-50.
In a study of 499 patients, a new type of needle was compared with standard needles. The new needle gave three times more material than standard needles of the same diameter.
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Wiksell H, et al. A new semi-automated instrument to improve the fine needle aspiration procedure during breast lesion cell sampling. Phys Med. 2009 Sep;25(3):128-32.
A new semi-automatic instrument has been developed ("CytoTest") and tested for FNA sampling. In total, 443 FNA samples were compared via "CytoTest" with the standard protocol. The study shows that the instrument increases the cell yield 3-4 times compared to the standard protocol and also gives fewer difficult to assess samples.
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Kai-Uwe Schässburger. Minimally-invasive breast interventions : methods for high yield, low risk, precision biopsy and curative thermal ablation. Karolinska University Hospital. 2018-12-07
This thesis describes in several publications among other things how a new and patented mechanism for precision placement of electrodes (radio frequency ablation) significantly improves the treatment results in patients with breast cancer.This technique combined with biomarker assays will improve the selection of patients for treatment.
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Franzén B., et al. "Protein profiling of fine needle aspirates reveals subtypeassociated immune signatures and involvement of chemokines in breast cancer" (Mol Oncol. 2018 Nov 19)
Shows that a wide range of highly relevant immune-related proteins can be analyzed in FNA samples with a simple sample preparation protocol and semi-automated protein analysis technique. This is likely to have clinical significance both for initial diagnosis and followup in cancer treatment, for example Immunotherapy.
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Alaiya AA, Franzén B, Hagman A, et al. Classification of human ovarian tumors using multivariate data analysis of polypeptide expression patterns. Int J Cancer. 2000;86(5):731-6.
Large amounts of qualitative and quantitative data are generated with modern molecular analysis methods and can be used for the development of models for the classification of tumors. We used this statistical method (PLS) for the first time on this type of data in an attempt to classify ovarian tumors. We conclude that it may be possible to classify tumors with multivariate analysis, which means future possibilities for diagnostics through AI.
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