From:  An overview of immune checkpoint inhibitors in breast cancer

Summary of clinical trials testing immune checkpoint inhibitors in early breast cancer (EBC), for which preliminary or final results have been presented and/or published

TrialDesignSettingPopulation (n)Drugs (n per arm)pCR rates % (95% CI)OR (95% CI), PBiomarker analysisRef.
GeparNuevoII RandomizedNeoadjuvantTN (174)
Any PD-L1
Durvalumab (2w)a → Durvalumab + NabP → Durvalumab + EC (88)53.4 (42.5–61.4) Window cohort: 61.01.45 (0.80–2.63), P = 0.224sTILs and PD-L1 (trend) associated with pCR, not predictive for Durvalumab benefit[14]
Durvalumab (2w)a → placebo + NabP → placebo + EC (86)44.2 (33.5–55.3) Window cohort: 41.4Window cohort: 2.22 (1.06–4.64), P = 0.035iTILs (increase between baseline and end of the window phase) predictive for Durvalumab benefit (OR 9.36, 95% CI 1.26–69.65, P = 0.029)
KEYNOTE-173IbNeoadjuvantTN (60) Any PD-L1Pembrolizumab + 6 CT regimens (cohort A-F)bOverall: 60 (range: 49–71)NAsTILs and PD-L1 associated with pCR[16]
KEYNOTE-522IIINeoadjuvantTN (602) Any PD-L1Pembrolizumab + NabP-carboplatin → A/E-C + pembrolizumab (401)64.8 (59.9–69.5)Estimated treatment difference: 13.6% (5.4-21.8, P > 0.001)PD-L1 associated with pCR, not predictive for Pembrolizumab benefit[17]
Placebo + NabP-carboplatin → A/E-C + placebo (201)51.2 (44.1–58.3)
NeoTRIPaPDL1IIINeoadjuvantTN (280) Any PD-L1Atezolizumab + NabP-carboplatin (138)43.5 (35.1–52.2)1.11 (0.69–1.79), P = 0.66cPD-L1 associated with pCR, not predictive for Atezolizumab benefit[19]
NabP-carboplatin (142)40.8 (32.7–49.4)
IMpassion031IIINeoadjuvantTN (333) Any PD-L1Placebo + NabP → placebo + A (168)41.1Delta pCR 16.5 (5.9– 27.1), P = 0.0044dPD-L1 associated with pCR, not predictive for Atezolizumab benefit[18]
Atezolizumab + NabP → atezolizumab + A (165)57.6
I-SPY 2II Adaptive-randomizedNeoadjuvantHER2- (205) Any PD-L1Pembrolizumab + paclitaxel → AC (69)Total: 44 (33–55) e
TN: 60 (44–75) e
HR+: 30 (17–43) e
Probability superior to control: Total: > 99.9%
TN: > 99.9%
HR+: 99.6%
NA[15]
Paclitaxel → AC (181)Total: 17 (11–23) e
TN: 22 (13–30) e
HR+: 13 (7–19) e
GIADAIINeoadjuvantLuminal-B (43) Any PD-L1EC → Nivolumab + triptorelin + exemestane16.3 (7.4–34.9) fTILs and specific immune infiltrate characteristics at baseline associated with pCR; anthracycline-induced increase in cytotoxic T-cells and decrease in T-regulatory T cells[41]

window phase stopped after 117 patients recruited (ethical concerns);

CT regimens; cohort A: NabP → doxorubicin-cyclophosphamide (AC); cohort B: NabP-Carboplatin AUC6 → AC; cohort C: NabP-Carboplatin AUC5 → AC; cohort D: NabP-Carboplatin AUC2 → AC; cohort E: Paclitaxel-Carboplatin AUC5 → AC; cohort F: Paclitaxel-Carboplatin AUC2 → AC;

pCR was a secondary endpoint;

one-sided significance boundary P = 0.0184;

estimated rates of pCR;

2-step statistical design: second step (8 pCR/43 patients) not met;

w: weeks; NA: not available; pCR: pathologic complete response; OR: odds ratio; EC: epirubicin-cyclophosphamide; sTILs: stromal TILs; iTILs: intra-tumoral TILs; AC: doxorubicin-cyclophosphamide