Evidence map›Paper›PMID 24305980›Full record

ArticleBreast cancer research and treatment2014

Genomic copy number imbalances associated with bone and non-bone metastasis of early-stage breast cancer.

Yanhong Liu, Renke Zhou, Lars O Baumbusch, Spyros Tsavachidis, Abenaa M Brewster, Kim-Anh Do, Aysegul Sahin, Gabriel N Hortobagyi, Joseph H Taube, Sendurai A Mani and 6 more

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Multi-omic Profiling of Recurrence Risk Across Breast Cancer Subtypes.medRxiv : the preprint server for health sciences · 2026
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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 6 institutions in 3 countries.

Yanhong LiuDepartment of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA, yl10@bcm.edu.
Renke Zhou
Lars O Baumbusch
Spyros Tsavachidis
Abenaa M Brewster
Kim-Anh Do
Aysegul Sahin
Gabriel N Hortobagyi
Joseph H Taube
Sendurai A Mani
Jørgen Aarøe
Fredrik Wärnberg
Anne-Lise Børresen-Dale
Gordon B Mills
Patricia A Thompson
Melissa L Bondy
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USOslo University Hospital · NOUniversity of Arizona · USUniversity of Oslo · NOUppsala University · SE

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BODURKA, DIANE · 2003 to 2020
$32.0M
UTMDACC SPORE in Breast CancerP50CA116199 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BERRY, DONALD A · 2005 to 2009
$11.9M
Risk Prediction for ER Negative Breast Cancer RecurrenceR01CA172511 · NCI · BAYLOR COLLEGE OF MEDICINE · PI BONDY, MELISSA L., BREWSTER, ABENAA M · 2013 to 2017
$3.1M
Determinants of Breast Cancer SurvivalR01CA089608 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BONDY, MELISSA L · 2002 to 2006
$3.1M
NCI NIH HHS CA016672NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA023074NCI NIH HHS P50 CA098258NCI NIH HHS P50 CA116199NCI NIH HHS P50CA116199NCI NIH HHS R01 CA089608NCI NIH HHS R01CA089608NCI NIH HHS R01 CA172511
6 · The paper itself

Abstract

The aim of this study is to identify and validate copy number aberrations in early-stage primary breast tumors associated with bone or non-bone metastasis. Whole-genome molecular inversion probe arrays were used to evaluate copy number imbalances (CNIs) in breast tumors from 960 early-stage patients with information about site of metastasis. The CoxBoost algorithm was used to select metastasis site-related CNIs and to fit a Cox proportional hazards model. Gains at 1q41 and 1q42.12 and losses at 1p13.3, 8p22, and Xp11.3 were significantly associated with bone metastasis. Gains at 2p11.2, 3q21.3-22.2, 3q27.1, 10q23.1, and 14q13.2-3 and loss at 7q21.11 were associated with non-bone metastasis. To examine the joint effect of CNIs and clinical predictors, patients were stratified into three risk groups (low, intermediate, and high) based on the sum of predicted linear hazard ratios. For bone metastasis, the hazard (95 % confidence interval) for the low-risk group was 0.32 (0.11-0.92) compared to the intermediate-risk group and 2.99 (1.74-5.11) for the high-risk group. For non-bone metastasis, the hazard for the low-risk group was 0.34 (0.17-0.66) and 2.33 (1.59-3.43) for the high-risk group. The prognostic value of loss at 8p22 for bone metastasis and gains at 10q23.1 for non-bone metastasis, and gain at 11q13.5 for both bone and non-bone metastases were externally validated in 335 breast tumors pooled from four independent cohorts. Distinct CNIs are independently associated with bone and non-bone metastasis for early-stage breast cancer patients across cohorts. These data warrant consideration for tailoring surveillance and management of metastasis risk.

Indexed as

DNA Copy Number VariationsAdultAgedBone NeoplasmsBreast NeoplasmsFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm StagingPrognosisProportional Hazards ModelsReproducibility of Results

Identifiers

PMID24305980
PMCPMC3993091
OpenAlexW2063975380

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.