University of Eastern Piedmont, Novara, Novara, Italy
Rahma Ben Ayed , Benedetta Conte , Veronica Martini , Renzo Boldorini , Simone Gobbato , Beatrice Ruffilli , Francesca Vezzoli , Rami Alsati , Letizia Negrini , Nicole Sala , Letizia Matera , Carmen Branni , Ivan Dodaro , Anna Gambaro , Valentina Rossi , Francesca D'Avanzo , Alessandra Gennari
Background: In BC, pCR is associated with substantial survival benefit. Hence, escalated neoadjuvant treatments (NATs) are being increasingly employed to improve pCR rates, warranting biomarkers for better patients’ selection. T-cell exhaustion and senescence are dysfunctional states that coexist in patients with cancer, impairing antitumor immunity and sustaining a suppressive immune microenvironment. Here, we assessed the impact of such states on pCR across different BC subtypes and NATs. Methods: This is a prospective study on patients undergoing NAT for BC at the Maggiore Hospital of Novara, Italy. Blood was collected at baseline and after NAT. Circulating T lymphocytes were characterized with exhausted (CD28, PD1, LAG3) and senescent (CD57, KLRG-1) biomarkers utilizing flow cytometry. Neutrophiles/lymphocytes ratio (NLR) and lymphocytes/monocytes ratio (LMR) were also retrieved. Subpopulations with frequency <1% were normalized for total CD3+ cells. Results: From October 2020 to January 2024, 134 patients were enrolled and 115 completed NAT (85.8%). Fifty-one (38,1%) had adequate samples for analysis, 16 (31,4%) with hormone receptor positive HER2 negative BC (HR+HER2-), 15 (29,4%) with HER2+, and 20 (39,2%) with triple negative BC (TN). At baseline, patients with TNBC had the lowest NLR (p=0.018) and lowest senescent CD4+CD28- (p=0.042). Associations with pCR are shown in the Table. Overall, LMR associated with increased pCR (OR 1.34 [95% CIs 1.00-1.89]), and NLR with decreased pCR (OR 0.67 [0.39-1.04]). Both associations were driven by HR+ status (interaction p = 0.061 and 0.060). Senescent CD4+ predicted lower pCR in both HR-HER2+ (OR 0.10 [0.01-0.36]) and TNBC (OR 0.10 [0.01-0.5]). In TNBC, exhausted CD8+ predicted higher pCR (OR 1.78 [1.08-3.79]). When assessed separately in patients who received NAT with or without pembrolizumab, exhausted CD8+ remained predictor of pCR in chemotherapy + pembrolizumab (OR 1.84 [1.03-5.00]), but not with chemotherapy alone (p=0.203). The dynamics of paired pre-NAT and post-NAT TNBC samples revealed significant differences. Senescent CD4+ increased after chemotherapy, but not with chemotherapy + pembrolizumab (p=0.007). Pembrolizumab was associated with depletion of PD1-positive CD8+, while chemotherapy alone was not (p=0.020). Conclusions: The characterization of circulating T lymphocytes could help identify patients who benefit more in terms of pCR from specific NATs, including chemoimmunotherapy.
Variable | BC subtype | OR (95% CIs) |
---|---|---|
LMR | All (n=51) HR+ (n=16) HR- (n=35) | 1.34 (1.00-1.89) 3.86 (1.43-30) 0.98 (0.66-1.46) |
NRL | All (n=51) HR+ (n=16) HR- (n=35) | 0.67 (0.39-1.04) 0.27 (0.03-0.81) 1.29 (0.62-2.98) |
CD4+CD28-CD57-KLRG1- | HR-/HER2+ (n=15) | 0.10 (0.01-0.36) |
CD4+ CD28-CD57+KLRG-1- | TNBC (n=20) | 0.10 (0.01-0.5) |
CD8+CD28+KLRG-1+CD57- | TNBC (n=20) | 1.78 (1.08-3.79) |
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