Evidence map›Paper›PMID 22782345›Full record

ArticleBritish journal of cancer2012

Accurate and rapid novel genetic diagnosis for detection of sentinel lymph node metastasis in breast cancer patients.

H Iinuma, J Tamura, D Omoto, N Kamo, S Ohnaka, Y Mitoma, Y Miyazawa, K Okinaga, T Imamura, R Fukushima and 2 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in British journal of cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

12 authors at 2 institutions in 1 country.

H IinumaDepartment of Surgery, Teikyo University School of Medicine, Tokyo 173-0003, Japan. iinuma@med.teikyo-u.ac.jp
J Tamura
D Omoto
N Kamo
S Ohnaka
Y Mitoma
Y Miyazawa
K Okinaga
T Imamura
R Fukushima
T Watanabe
T Ikeda
Teikyo University · JPTosoh (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe transcription-reverse transcription concerted reaction (TRC) test is a novel molecular-based procedure, which can assess nodal metastasis accurately and quickly. We examined the usefulness of the TRC test with a double marker, cytokeratin 19 (CK19) and carcinoembryonic antigen (CEA) mRNA, to detect sentinel lymph nodes (SLN) metastasis in breast cancer patients.

methodsA total of 264 SLNs from 131 breast cancer patients were assigned to a training set (109 SLNs from 50 patients) and validation set (155 SLNs from 81 patients). Cytokeratin 19 and CEA mRNA were detected by TRC tests, and the sensitivity and specificity of the SLN metastasis between the TRC and histology cohorts were compared.

resultsMean copy numbers of CK19 and CEA by TRC tests were increased according to the metastatic size. In the training set, TRC test showed 100% sensitivity, specificity and concordance rates against the permanent histopathology test. In the validation set, sensitivity was 97.1%, specificity was 99.2% and the concordance rate was 99.4%.

conclusionOur results showed that the detection of CK19 and CEA mRNA using the TRC test is, an accurate and rapid method for detection of SLN metastasis and can be applied as an intraoperative molecular diagnosis in breast cancer patients.

Indexed as

Molecular Diagnostic TechniquesAxillaBiomarkers, TumorBreast NeoplasmsCarcinoembryonic AntigenDNA Copy Number VariationsFemaleHumansIntraoperative PeriodKeratin-19Lymphatic MetastasisMiddle AgedReverse TranscriptionRNA, MessengerSensitivity and SpecificityBiomarkers, TumorCarcinoembryonic AntigenKeratin-19RNA, Messenger

Identifiers

PMID22782345
PMCPMC3419953
OpenAlexW2029561510

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.