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Table 2 Cox regression analysis for PFS predicting

From: Real-time HER2 status detected on circulating tumor cells predicts different outcomes of anti-HER2 therapy in histologically HER2-positive metastatic breast cancer patients

Characteristics

Univariate analysis

Multivariate analysis

HR (95 % CI)

P

HR (95 % CI)

P

Age

0.982 (0.951–1.014)

0.2716

0.978 (0.943–1.015)

0.2371

ER and/or PR: Positive vs. Negative

1.854 (1.015–3.454)

0.0467

1.977 (0.928–4.39)

0.0841

Pathology type: ILC vs. IDC

3.911 (0.215–19.691)

0.1891

3.691 (0.169–31.259)

0.2832

Pathology type: Other vs. IDC

0.936 (0.28–2.336)

0.8995

1.49 (0.395–4.625)

0.5148

CTC Number: ≥ 5 vs. < 5

1.141 (0.631–2.064)

0.6606

1.321 (0.686–2.581)

0.4068

CTC Her2: Positive vs. Negative

0.321 (0.156–0.62)

0.0011

0.383 (0.166–0.831)

0.019

No. of Metastasis: ≥ 2 vs. = 1

0.968 (0.441–2.551)

0.9406

0.746 (0.296–2.155)

0.5566

Metastatic sites: Visceral vs. Non-visceral

0.812 (0.431–1.637)

0.5357

0.591 (0.276–1.356)

0.1907

Systemic therapy line: ≥ 2 vs. = 1

2.309 (0.84–9.543)

0.1619

2.041 (0.626–9.313)

0.2856

Treatment option: L + Che vs. T + Che

0.859 (0.446–1.789)

0.6639

0.911 (0.411–1.863)

0.8063

  1. Abbreviation: IDC invasive ductal carcinoma, ILC invasive lobular carcinoma, L lapatinib, T trastuzumab, Che chemotherapy, HR hazard rate