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. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: Breast Cancer Res Treat. 2013 Dec 4;143(1):189–201. doi: 10.1007/s10549-013-2796-3

Table 3.

Selected copy number imbalances predicting breast cancer bone or non-bone metastasis, from the CoxBoost analysis

CNI marker Start (Mp) Stop (Mp) Size (Mb) Discovery dataset
Validation dataset
Potential target genes#
HR (95% CI) P value HR (95% CI) P value
Bone metastasis
1p13.3 loss* 107.2 107.8 0.6 3.54 (1.82–6.89) 0.0002 2.74 (0.82–9.17) 0.1021 PRMT6
1q41 gain* 212.6 213 0.4 2.58 (1.63–4.09) 5.39 × 10−5 0.89 (0.39–2.05) 0.7866 PTPN14 (associated with metastasis)
1q42.12 gain 223.9 224.4 0.5 2.77 (1.74–4.41) 1.64 × 10−5 1.28 (0.58–2.78) 0.5415 EPHX
8p22 loss 16.9 17.2 0.3 2.90 (1.75–4.82) 3.57 × 10−5 2.27 (1.01–5.12) 0.0481 REAM (associated with metastasis), DLC1 (predictor of bone metastasis)
11q13.5 gain 76.2 76.7 0.5 3.11 (1.79–5.40) 6.09 × 10−5 2.79 (1.11–46.99) 0.0291 OMP (close to metastasis genes EMSY and LRRC32)
Xp11.3 loss 45.9 46.8 0.9 4.36 (2.30–8.28) 6.75 × 10−6 1.49 (0.20–11.04) 0.6951

Non-bone metastasis
2p11.2 gain 84.4 84.8 0.4 3.19 (1.56–6.52) 0.0015 4.03 (0.98–16.63) 0.0541 SUCLG1
3q21.3–22.2 gain* 127.9 137.4 9.4 2.89 (1.56–5.37) 0.0008 1.53 (0.37–6.32) 0.5542 EPHB1 (associated with metastasis)
3q27.1 gain 184.7 185.1 0.4 2.53 (1.55–4.11) 0.0002 0.20 (0.03–1.45) 0.1109 PARL
7q21.11 loss* 77.6 77.9 0.3 3.87 (1.70–8.79) 0.0012 0.98 (0.24–4.02) 0.9747 MGC34774
10q23.1 gain 82.2 82.9 0.6 3.13 (1.68–5.80) 0.0003 6.39 (2.86–14.27) 5.97 × 10−6 SH2D4B
11q13.5 gain 75.7 76.2 0.5 2.32 (1.41–3.82) 0.0010 2.51 (1.25–5.04) 0.0098 EMSY (associated with prognosis in breast and ovarian cancers); LRRC32 (associated with metastasis)
14q13.2-3 gain 35.3 36.2 0.9 2.54 (1.43–4.51) 0.0014 2.68 (0.96–7.51) 0.0599 PAX9

Abbreviations: CNI, copy number imbalance; HR, hazard ratio; CI, confidence interval.

#

Only selected genes with biological plausibility are shown in the table. The full list of genes for each region is given in Supplemental Table 1.

*

CNI markers identified in this study. The other markers (chromosome region) listed have been previously implicated in predicting poor clinical outcome in breast cancer patients.