Evidence map›Paper›PMID 19930681›Full record

ArticleBMC cancer2009

Impact of biospecimens handling on biomarker research in breast cancer.

Loris De Cecco, Valeria Musella, Silvia Veneroni, Vera Cappelletti, Italia Bongarzone, Maurizio Callari, Barbara Valeri, Marco A Pierotti, Maria Grazia Daidone

Abstract read
In one paragraph

Article in BMC cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Immunosignature system for diagnosis of cancer.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Endometrial Carcinoma, Grossing and Processing Issues: Recommendations of the International Society of Gynecologic Pathologists.International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists · 2019
    Article
  9. Audit of Quality and Quantity of Nucleic Acid Yield from Pediatric Acute Leukemia Cases Following a Bio-banking Initiative.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2019
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Tissue alkalosis in cold-ischemia time.Scientific reports · 2017
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Biobanking in genomic medicine.Archives of pathology & laboratory medicine · 2015
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Loris De CeccoFondazione Istituto FIRC di Oncologia Molecolare, Via Adamello16, 20139 Milano, Italy. loris.dececco@ifom-ieo-campus.it
Valeria Musella
Silvia Veneroni
Vera Cappelletti
Italia Bongarzone
Maurizio Callari
Barbara Valeri
Marco A Pierotti
Maria Grazia Daidone

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene expression profiling is moving from the research setting to the practical clinical use. Gene signatures able to correctly identify high risk breast cancer patients as well as to predict response to treatment are currently under intense investigation. While technical issues dealing with RNA preparation, choice of array platforms, statistical analytical tools are taken into account, the tissue collection process is seldom considered. The time elapsed between surgical tissue removal and freezing of samples for biological characterizations is rarely well defined and/or recorded even for recently stored samples, despite the publications of standard operating procedures for biological sample collection for tissue banks.

methodsBreast cancer samples from 11 patients were collected immediately after surgical removal and subdivided into aliquots. One was immediately frozen and the others were maintained at room temperature for respectively 2, 6 and 24 hrs. RNA was extracted and gene expression profile was determined using cDNA arrays. Phosphoprotein profiles were studied in parallel.

resultsDelayed freezing affected the RNA quality only in 3 samples, which were not subjected to gene profiling. In the 8 breast cancer cases with apparently intact RNA also in sample aliquots frozen at delayed times, 461 genes were modulated simply as a function of freezing timing. Some of these genes were included in gene signatures biologically and clinically relevant for breast cancer. Delayed freezing also affected detection of phosphoproteins, whose pattern may be crucial for clinical decision on target-directed drugs.

conclusionTime elapsed between surgery and freezing of samples appears to have a strong impact and should be considered as a mandatory variable to control for clinical implications of inadequate tissue handling.

Indexed as

Biomarkers, TumorBiomedical ResearchBreast NeoplasmsFemaleFreezingGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSpecimen HandlingTimeBiomarkers, TumorRNA, Messenger

Identifiers

PMID19930681
PMCPMC2787533

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.