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Triple-negative breast cancer (TNBC) is defined by the absence of estrogen receptor (ER), progesterone receptor (PgR), and human epidermal growth factor receptor 2 (HER2) expression on cancer cells. TNBCs accounts for 15-20% of all breast cancers (BC).1 It is characterized by a worse prognosis, increased risk of metastasis to vital organs and a relative lack of therapeutic target if compared to other BC subtypes.2 Therefore, the identification of new molecular targets and therapeutic strategies is a critical need in both early and metastatic setting. TNBC appears to be more immunogenic compared to other BC6. Immunotherapy has recently changed the landscape of therapeutic options in TNBC. Recent clinical trials have shown a significant clinical benefit in patients with metastatic TNBC treated with a combination of chemotherapy and anti PD-1 agents.11-12-13-14-15 In particular, results from IMPASSION 130 trial showed a significant benefit in both progression free survival (PFS) and overall survival (OS) in PD-L1 positive (PD-L1+) patients treated with a combination of atezolizumab and nab-paclitaxel.20 However, about 70% of PD-L1+ patients has experienced a disease progression after one year and about 50% was alive at 2 year. Moreover, no difference in survival endpoint has been seen in PD-L1 negative (PD-L1-) population, with an increase of toxicity and costs related to the addition of a checkpoint-inhibitor. Therefore, the identification of novel biomarkers in addition to PD-L1 and the combination of several biomarkers in a profile with higher predictive capacity is considered an area of urgent clinical need. Some immune-related features that can be identified in tumor microenvironment have been demonstrated to be independent prognostic and predictive factors: TILs, PD-L1, CD73.
We defined a tissue immune profile positive (TIP+) as the simultaneous presence of TILs≥50%, CD73≤40% and PD-L1≥1%. Any other combination was defined as TIP negative (TIP-) In conclusion, we will evaluate the association between TIP and clinical outcomes (ORR, PFS, OS).
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Paolo Marchetti
Data sourced from clinicaltrials.gov
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