- Design
- Secondary biomarker analysis of a phase 3 randomised trial (APHINITY)
- Population
- 4,262 tumour samples from patients with early HER2-positive breast cancer
- Primary outcome
- Invasive disease-free survival by TIL level and scoring method
- Effect
- Higher TILs HR 0.41–0.93 for iDFS; pertuzumab HR 0.36–0.48 at high TILs; 12.1-point gain in node-positive TILs ≥70%
This secondary analysis of the APHINITY trial (4,805 patients with early HER2-positive breast cancer randomised to chemotherapy and trastuzumab with pertuzumab or placebo; median follow-up 74 months) scored stromal tumour-infiltrating lymphocytes (TILs) on 4,262 slides by manual, digital and AI methods.
Manual scoring was reproducible between pathologists (intraclass correlation 0.84). Higher TILs were associated with better invasive disease-free survival by every method (HR 0.41 to 0.93). Pertuzumab benefit was greater at higher TIL levels (HR 0.36 to 0.48), with the largest six-year absolute gain, 12.1 percentage points, in node-positive disease with TILs of 70% or more. AI scoring reclassified 11.6% of node-positive tumours from immune-low to immune-high, and these patients showed greater pertuzumab benefit.
TILs are cheap to score on the H&E slide already made for diagnosis. This supports reporting them routinely in HER2-positive cancer, though they do not yet decide who receives pertuzumab.
- Ask pathology to report stromal TILs on HER2-positive breast cancer biopsies.
- Higher TILs indicate better prognosis across all scoring methods.
- The largest absolute pertuzumab benefit was seen in node-positive disease with high TILs (exploratory).
- TIL level is not yet a validated basis for withholding pertuzumab.
Why it matters
A cheap marker on the existing slide may help decide who needs dual HER2 blockade most.
Don't overread it
These are secondary, exploratory analyses; TILs have not been validated to select patients for pertuzumab.
The statistics, in plain English
Subgroup and interaction analyses in a trial are less reliable than the main result; they generate hypotheses. The AI reclassification finding is from 120 tumours and needs validation in another cohort.
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