Trastuzumab-lapatinib as neoadjuvant therapy for HER2-positive early breast cancer: Survival analyses of the CHER-Lob trial

of the CHER-Lob study team

Research output: Contribution to journalArticlepeer-review


Aim: The Cher-LOB randomised phase II study showed that the combination of lapatinib-trastuzumab plus chemotherapy increases pathologic complete response (pCR) rate compared with chemotherapy plus either trastuzumab or lapatinib. Here, we report the post hoc survival analysis as per treatment arm, pCR and biomarkers. Methods: The Cher-LOB study randomised 121 patients with human epidermal growth factor receptor 2–positive, stage II–IIIA breast cancer. A specific protocol to collect recurrence-free survival (RFS) and overall survival (OS) data was designed. Tumour-infiltrating lymphocytes (TILs) and PAM50-intrinsic subtyping were evaluated at baseline. Results: At 9-year median follow-up, a trend towards RFS improvement with lapatinib-trastuzumab over trastuzumab was observed (hazard ratio [HR] 0.44, 95% confidence interval [CI] 0.18–1.05). Combining treatment arms, pCR was significantly associated with both RFS (HR 0.12, 95% CI 0.03–0.49) and OS (HR 0.12, 95% CI 0.03–0.49). TILs were significantly associated with RFS (HR = 0.978 for each 1% increment). Luminal-A subtype was a significant and independent predictor of improved RFS as compared with other PAM50-based intrinsic subtypes at the multivariate analysis including the most relevant clinicopathologic variables (HR 0.29, 95% CI 0.09–0.94, p = 0.040). Conclusions: Cher-LOB trial survival analysis confirmed the prognostic role of pCR and TILs and showed a signal for a better outcome with lapatinib-trastuzumab over trastuzumab. Trial registration: NCT00429299.

Original languageEnglish
Pages (from-to)133-141
Number of pages9
JournalEuropean Journal of Cancer
Publication statusPublished - Aug 2021


  • Escalation
  • HER2-positive breast cancer
  • Lapatinib
  • Neoadjuvant treatment
  • Trastuzumab

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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