Evidence map›Paper›PMID 22741037›Full record

ArticleTranslational oncology2012

High-throughput molecular analysis from leftover of fine needle aspiration cytology of mammographically detected breast cancer.

Laura Annaratone, Caterina Marchiò, Tommaso Renzulli, Isabella Castellano, Daniela Cantarella, Claudio Isella, Luigia Macrì, Giovanna Mariscotti, Davide Balmativola, Elisabetta Cantanna and 6 more

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

3 citing papers in PubMed, 19 citations in OpenAlex.

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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

16 authors at 5 institutions in 2 countries.

Laura AnnaratoneDepartment of Biomedical Sciences and Human Oncology, University of Turin, Turin, Italy.
Caterina Marchiò
Tommaso Renzulli
Isabella Castellano
Daniela Cantarella
Claudio Isella
Luigia Macrì
Giovanna Mariscotti
Davide Balmativola
Elisabetta Cantanna
Cristina Deambrogio
Francesca Pietribiasi
Riccardo Arisio
Fernando Schmitt
Enzo Medico
Anna Sapino
University of Turin · ITCandiolo Cancer Institute · ITAzienda Ospedaliero Universitaria San Giovanni Battista · ITOspedale Sant'Anna · ITUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated whether residual material from diagnostic smears of fine needle aspirations (FNAs) of mammographically detected breast lesions can be successfully used to extract RNA for reliable gene expression analysis. Twenty-eight patients underwent FNA of breast lesions under ultrasonographic guidance. After smearing slides for cytology, residual cells were rinsed with TRIzol to recover RNA. RNA yield ranged from 0.78 to 88.40 µg per sample. FNA leftovers from 23 nonpalpable breast cancers were selected for gene expression profiling using oligonucleotide microarrays. Clusters generated by global expression profiles partitioned samples in well-distinguished subgroups that overlapped with clusters obtained using "biologic scores" (cytohistologic variables) and differed from clusters based on "technical scores" (RNA/complementary RNA/microarray quality). Microarray profiling used to measure the grade of differentiation and estrogen receptor and ERBB2/HER2 status reflected the results obtained by histology and immunohistochemistry. Given that proliferative status in the FNA material is not always assessable, we designed and performed on FNA leftover a multiprobe genomic signature for proliferation genes that strongly correlated with the Ki67 index examined on histologic material. These findings show that cells residual to cytologic smears of FNA are suitable for obtaining high-quality RNA for high-throughput analysis even when taken from small nonpalpable breast lesions.

Identifiers

PMID22741037
PMCPMC3384272
OpenAlexW1978334291

What OpenQuestion holds

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Registered trials

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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.