Evidence map›Paper›PMID 26311227›Full record

ArticleWorld journal of surgical oncology2015

Molecular biomarkers screened by next-generation RNA sequencing for non-sentinel lymph node status prediction in breast cancer patients with metastatic sentinel lymph nodes.

Feng Liang, Hongzhu Qu, Qiang Lin, Yadong Yang, Xiuyan Ruan, Bo Zhang, Yi Liu, Chengze Yu, Hongyan Zhang, Xiangdong Fang and 1 more

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

18 citing papers in PubMed.

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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

11 authors.

Feng LiangAffiliated Hospital of Academy of Military Medical Sciences, 8 Dongdajie, Fengtai District, Beijing, 100071, China. lfpeakcool@126.com.
Hongzhu QuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, 1-104 Beichen West Road, Chaoyang District, Beijing, 100101, China. quhongzhu@big.ac.cn.
Qiang LinAffiliated Hospital of Academy of Military Medical Sciences, 8 Dongdajie, Fengtai District, Beijing, 100071, China. 812983585@qq.com.
Yadong YangCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, 1-104 Beichen West Road, Chaoyang District, Beijing, 100101, China. yangyd@big.ac.cn.
Xiuyan RuanCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, 1-104 Beichen West Road, Chaoyang District, Beijing, 100101, China. ruanxy@big.ac.cn.
Bo ZhangAffiliated Hospital of Academy of Military Medical Sciences, 8 Dongdajie, Fengtai District, Beijing, 100071, China. 13436660521@qq.com.
Yi LiuAffiliated Hospital of Academy of Military Medical Sciences, 8 Dongdajie, Fengtai District, Beijing, 100071, China. liuyi790114@163.com.
Chengze YuAffiliated Hospital of Academy of Military Medical Sciences, 8 Dongdajie, Fengtai District, Beijing, 100071, China. yuchengze@sina.com.
Hongyan ZhangGeneral Hospital of Beijing Military Area, 5 Nanmencang, Dongcheng District, Beijing, 100700, China. roninzhy@126.com.
Xiangdong FangCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, 1-104 Beichen West Road, Chaoyang District, Beijing, 100101, China. fangxd@big.ac.cn.
Xiaopeng HaoAffiliated Hospital of Academy of Military Medical Sciences, 8 Dongdajie, Fengtai District, Beijing, 100071, China. hxp307@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-sentinel lymph node (NSLN) status prediction with molecular biomarkers may make some sentinel lymph node (SLN) positive breast cancer patients avoid the axillary lymph node dissection, but the available markers remain limited.

methodsSLN positive patients with and without NSLN invasion were selected, and genes differentially expressed or fused in SLN metastasis were screened by next-generation RNA sequencing.

resultsSix candidates (all ER/PR+, HER2-, Ki-67 <20%) with metastatic SLNs selected from 305 patients were equally categorized as NSLN negative and positive. We identified 103 specifically expressed genes in the NSLN negative group and 47 in the NSLN positive group. Among them, FABP1 (negative group) and CYP2A13 (positive group) were the only 2 protein-encoding genes with expression levels in the 8th to 10th deciles. Using a false discovery rate threshold of <0.05, 62 up-regulated genes and 98 down-regulated genes were discovered in the NSLN positive group. Furthermore, 10 gene fusions were identified in this group with the most frequently fused gene being IGLL5.

conclusionsThe biomarkers screened in present study may broaden our understanding of the mechanisms of breast cancer metastasis to the lymph nodes and contribute to the axillary surgery selection for SLN positive patients.

Indexed as

Sentinel Lymph Node BiopsyBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastFemaleFollow-Up StudiesHigh-Throughput Nucleotide SequencingHumansLymphatic MetastasisLymph NodesNeoplasm GradingNeoplasm StagingPrognosisSequence Analysis, RNABiomarkers, Tumor

Identifiers

PMID26311227
PMCPMC4551378

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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.