GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • American Association for Cancer Research (AACR)  (3)
  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 9_Supplement ( 2015-05-01), p. OT1-2-01-OT1-2-01
    Abstract: Background: While effective targeted therapies exist for patients with ER/PR + (anti-estrogens) and HER2+ (anti-HER2 agents) disease, and some triple-negative cancers respond to DNA-damaging chemotherapy, many patients eventually exhibit disease refractory to all standard breast cancer therapies, particularly in the metastatic setting. Expanding catalogs of tumor-targeted therapies are being developed, and tumor genetics are playing an increasing role in patient selection. However, tumors can exhibit intra- and inter-tumor genetic heterogeneity. If a biopsied tumor is not genetically reflective of all tumors within a patient, then the optimal therapy may be overlooked. Identifying targetable genetic changes for which there are drugs, using non-invasive procedures, will be an increasing challenge for medical oncologists. One way to potentially overcome this issue is through cell-free circulating tumor DNA, which is detectable in the bloodstream. This study represents the first step in this important process: evaluating plasma DNA as a potential route to non-invasive identification of genetic mutations in patients with metastatic breast cancer with several tumors. Design: Patients with new or progressive metastatic breast cancer with & gt;=3 sites of biopsy-able disease are enrolled. Large bore, large volume blood draw for PT/ INR and plasma DNA will be obtained. Primary tumor will be biopsied if present. Biopsies of & gt;=3 tumors in & gt;=2 different organ sites will be required. Tumor histology and ER/PR/her2 status will be determined. Tumor tissue and plasma will undergo DNA sequencing. Eligibility: Measureable new or progressive metastatic breast cancer by CT and bone scan or PET scan. & gt;=3 sites of disease with & gt;=2 organ sites appropriate for biopsy. Prior therapy allowed, but all specimens must be obtained prior to change in therapy. Primary objective: To determine whether the genetic mutations in plasma DNA are reflective of the genetic mutations present in biopsies of all tumors. Secondary objectives: To determine A) the amount of plasma DNA required to capture all somatic genetic mutations in tumor samples, and B) the extent of genetic heterogeneity between primary and metastatic tumors. Primary endpoint: Rate of genetic concordance between plasma DNA and & gt;=3 tumor within each patient. Present accrual: 2 Target accrual: 10. Citation Format: Mary D Chamberlin, Todd W Miller, Jennifer R Bean, Richard J Barth, Kari M Rosenkranz, Jonathan D Marotti, John M Gemery, Jiang Gui. Circulating tumor DNA in plasma as a surrogate for tumor biopsy to identify tumor genetic alterations in patients with multi-focal metastatic breast cancer [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr OT1-2-01.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2012
    In:  Cancer Research Vol. 72, No. 8_Supplement ( 2012-04-15), p. 3670-3670
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 3670-3670
    Abstract: Optical spectroscopy probes increasingly have been employed for diagnostic sensing during breast conserving surgery to aid surgeons in complete resection while minimizing damage to healthy tissues; however, traditional fiber probe-based systems rely on the assumption that ultra-structural changes associated with malignancy yield disease-specific contrast in a single, volume-averaged measure. A scanning-beam spectroscopy platform was designed to efficiently realize the imaging extension of probe-based spectroscopy methods and to selectively sample the scattering response of breast surgical specimens. The imaging system employs dark-field illumination and confocal detection to rapidly sample broadband spectra at 100μm lateral resolution over a 1cm2 field of view. Optical scattering is exquisitely sensitive to the morphological features observed in pathology, the diagnostic gold standard, and has not been studied sufficiently in thick tissues in a waveband that avoids absorption. In this study, 29 fresh breast tissue specimens procured during conservative surgery were imaged and returned to pathology for standard histological processing. A protocol was developed for accurate co-registration between the imaged field and histology. Over 300,00 broadband spectra were sampled and parameterized according to an empirical approximation to Mie theory. Further, the gray-level co-occurrence matrix representation of texture features was used to mathematically represent intensity-level spatial dependence in the scattering images. Spatially, the intra and inter-patient scattering response is quite heterogeneous; but imaging accounts for this natural variance so that diagnostic classification improved. The average scattering power per 100x100 pixel field of view was sufficient to discriminate between benign and malignant pathologies with a positive and negative predictive value of 1.00 and 0.90 respectively, using a simple, threshold-based classification. As compared to classification on a per-spectrum basis, which yielded positive and negative predictive values of just 0.71 and 0.75 respectively. Further, textural features yielded discriminated between invasive and in situ carcinomas with p & lt;0.05, suggesting potential to discriminate between these surgically undifferentiable pathologies. The scanning spectroscopy platform was designed to strike a balance between sensitivity to tissue ultra-structure and imaging the macroscopic fields encountered during surgery. It allows for high throughput imaging of light scattering from the surface of breast surgical specimens, and the sheer number of spectra collected dramatically improves diagnostic classification. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3670. doi:1538-7445.AM2012-3670
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 18, No. 22 ( 2012-11-15), p. 6315-6325
    Abstract: Purpose: A new approach to spectroscopic imaging was developed to detect and discriminate microscopic pathologies in resected breast tissues; diagnostic performance of the prototype system was tested in 27 tissues procured during breast conservative surgery. Experimental Design: A custom-built, scanning in situ spectroscopy platform sampled broadband reflectance from a 150-μm-diameter spot over a 1 × 1 cm2 field using a dark field geometry and telecentric lens; the system was designed to balance sensitivity to cellular morphology and imaging the inherent diversity within tissue subtypes. Nearly 300,000 broadband spectra were parameterized using light scattering models and spatially dependent spectral signatures were interpreted using a cooccurrence matrix representation of image texture. Results: Local scattering changes distinguished benign from malignant pathologies with 94% accuracy, 93% sensitivity, 95% specificity, and 93% positive and 95% negative predictive values using a threshold-based classifier. Texture and shape features were important to optimally discriminate benign from malignant tissues, including pixel-to-pixel correlation, contrast and homogeneity, and the shape features of fractal dimension and Euler number. Analysis of the region-based diagnostic performance showed that spectroscopic image features from 1 × 1 mm2 areas were diagnostically discriminant and enabled quantification of within-class tissue heterogeneities. Conclusions: Localized scatter-imaging signatures detected by the scanning spectroscopy platform readily distinguished benign from malignant pathologies in surgical tissues and showed new spectral-spatial signatures of clinical breast pathologies. Clin Cancer Res; 18(22); 6315–25. ©2012 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...