Evidence map›Paper›PMID 23533813›Full record

ArticleISRN oncology2013

Gene expression profile analysis of t1 and t2 breast cancer reveals different activation pathways.

Margit L H Riis, Xi Zhao, Fateme Kaveh, Hilde S Vollan, Anne-Jorunn Nesbakken, Hiroko K Solvang, Torben Lüders, Ida R K Bukholm, Vessela N Kristensen

Abstract read
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Article in ISRN oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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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

5 citing papers in PubMed.

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4 · The record

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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.

Margit L H RiisDepartment of Surgery, Akershus University Hospital, 1478 Lørenskog, Norway ; Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, 0318 Oslo, Norway.
Xi Zhao
Fateme Kaveh
Hilde S Vollan
Anne-Jorunn Nesbakken
Hiroko K Solvang
Torben Lüders
Ida R K Bukholm
Vessela N Kristensen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancers today are of predominantly T1 (0.1 ≥ 2.0 cm) or T2 (>2 ≤ 5 cm) categories due to early diagnosis. Molecular profiling using microarrays has led to the notion of breast cancer as a heterogeneous disease both clinically and molecularly. Given the prognostic power and clinical use of tumor size, the purpose of this study was to search for molecular signatures characterizing clinical T1 and T2. In total 46 samples were included in the discovery dataset. After adjusting for hormone receptor status, lymph node status, grade, and tumor subclass 441 genes were differently expressed between T1 and T2 tumors. Focal adhesion and extracellular matrix receptor interaction were upregulated in the smaller tumors while p38MAPK signaling and immune-related pathways were more dominant in the larger tumors. The T-size signature was then tested on a validation set of 947 breast tumor samples. Using the T-size expression signatures instead of tumor size leads to a significant difference in risk for distant metastases (P < 0.001). If further confirmed, this molecular signature can be used to select patients with tumor category T1 who may need more aggressive treatment and patients with tumor category T2 who may have less benefit from it.

Identifiers

PMID23533813
PMCPMC3603375

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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.