Literature DB >> 22638684

Tissue banking in a regional hospital: a promising future concept? First report on fresh frozen tissue banking in a hospital without an integrated institute of pathology.

Marco von Strauss und Torney1, Ulrich Güller, Farid Rezaeian, Philippe Brosi, Luigi Terracciano, Markus Zuber.   

Abstract

BACKGROUND: Vital tissue provided by fresh frozen tissue banking is often required for genetic tumor profiling and tailored therapies. However, the potential patient benefits of fresh frozen tissue banking are currently limited to university hospitals. The objective of the present pilot study--the first one in the literature--was to evaluate whether fresh frozen tissue banking is feasible in a regional hospital without an integrated institute of pathology.
METHODS: Patients with resectable breast and colon cancer were included in this prospective study. Both malignant and healthy tissue were sampled using isopentan-based snap-freezing 1 h after tumor resection and stored at -80 °C before transfer to the main tissue bank of a University institute of pathology.
RESULTS: The initial costs to set up tissue banking were 35,662 US$. Furthermore, the running costs are 1,250 US$ yearly. During the first 13 months, 43 samples (nine samples of breast cancer and 34 samples of colon cancer) were collected from 41 patients. Based on the pathology reports, there was no interference with standard histopathologic analyses due to the sample collection.
CONCLUSIONS: This is the first report in the literature providing evidence that tissue banking in a regional hospital without an integrated institute of pathology is feasible. The interesting findings of the present pilot study must be confirmed by larger investigations.

Entities:  

Mesh:

Year:  2012        PMID: 22638684     DOI: 10.1007/s00268-012-1656-3

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  21 in total

1.  Establishing a national tissue bank for surgically harvested cancer tissue.

Authors:  K Knox; D J Kerr
Journal:  Br J Surg       Date:  2004-02       Impact factor: 6.939

2.  Predictive molecular pathology.

Authors:  Guido Sauter; Ronald Simon
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

3.  Recommendations for collection and handling of specimens from group breast cancer clinical trials.

Authors:  Brian R Leyland-Jones; Christine B Ambrosone; John Bartlett; Matthew J C Ellis; Rebecca A Enos; Adekunle Raji; Michael R Pins; Jo Anne Zujewski; Stephen M Hewitt; John F Forbes; Mark Abramovitz; Sofia Braga; Fatima Cardoso; Nadia Harbeck; Carsten Denkert; Scott D Jewell
Journal:  J Clin Oncol       Date:  2008-10-27       Impact factor: 44.544

Review 4.  Caveats in the interpretation of the surgical literature.

Authors:  U Guller
Journal:  Br J Surg       Date:  2008-05       Impact factor: 6.939

5.  Prognostic implications of circumferential location of distal rectal cancer.

Authors:  E García-Granero; O Faiz; B Flor-Lorente; S García-Botello; P Esclápez; A Cervantes
Journal:  Colorectal Dis       Date:  2010-03-02       Impact factor: 3.788

6.  Revised TN categorization for colon cancer based on national survival outcomes data.

Authors:  Leonard L Gunderson; John Milburn Jessup; Daniel J Sargent; Frederick L Greene; Andrew K Stewart
Journal:  J Clin Oncol       Date:  2009-11-30       Impact factor: 44.544

7.  The Cooperative Human Tissue Network. An update.

Authors:  V A LiVolsi; K P Clausen; W Grizzle; W Newton; T G Pretlow; R Aamodt
Journal:  Cancer       Date:  1993-02-15       Impact factor: 6.860

8.  The 70-gene prognosis signature predicts early metastasis in breast cancer patients between 55 and 70 years of age.

Authors:  S Mook; M K Schmidt; B Weigelt; B Kreike; I Eekhout; M J van de Vijver; A M Glas; A Floore; E J T Rutgers; L J van 't Veer
Journal:  Ann Oncol       Date:  2009-10-13       Impact factor: 32.976

9.  [Tissue bank of the National Centre for Tumour Disease. An innovative platform for translational tumour].

Authors:  E Herpel; N Koleganova; P Schirmacher
Journal:  Pathologe       Date:  2008-11       Impact factor: 1.011

10.  Combining biological gene expression signatures in predicting outcome in breast cancer: An alternative to supervised classification.

Authors:  Dimitry S A Nuyten; Trevor Hastie; Jen-Tsan Ashley Chi; Howard Y Chang; Marc J van de Vijver
Journal:  Eur J Cancer       Date:  2008-08-18       Impact factor: 9.162

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.