FGFR1 Amplification and Response to Neoadjuvant Anti-HER2 Treatment in Early HER2-Positive Breast Cancer

FGFR4-driven plasticity in breast cancer progression and resistance to therapy

Breast cancer (BCa) is a complex and heterogeneous disease, with different intrinsic molecular subtypes that have distinct clinical outcomes and responses to therapy. Although intrinsic subtyping provides guidance for treatment decisions, it is now widely recognised that, in some cases, the switch of the BCa intrinsic subtype (which embodies cellular plasticity), may be responsible for therapy failure and disease progression. Aberrant FGFR4 signalling has been implicated in various cancers, including BCa, where it had been shown to be associated with aggressive subtypes, such as HER2-enriched BCa, and poor prognosis. More importantly, FGFR4 is also emerging as a potential driver of BCa intrinsic subtype switching, and an essential promoter of brain metastases, particularly in the HER2-positive BCa. Although the available data are still limited, the findings may have far-reaching clinical implications. Here, we provide an updated summary of the existing both pre- and clinical studies of the role of FGFR4 in BCa, with a special focus on its contribution to subtype switching during metastatic spread and/or induced by therapy. We also discuss a potential clinical benefit of targeting FGFR4 in the development of new treatment strategies.

Targeting HER2 and FGFR-positive cancer cells with a bispecific cytotoxic conjugate combining anti-HER2 Affibody and FGF2

Breast cancer remains a significant global health challenge, necessitating the development of effective targeted therapies. This study aimed to create bispecific targeting molecules against HER2 and FGFR1, two receptors known to play crucial roles in breast cancer progression. By combining the high-affinity Affibody ZHER2:2891 and a modified, stable form of fibroblast growth factor 2 (FGF2), we successfully generated bispecific proteins capable of simultaneously recognizing HER2 and FGFR1. Two variants were designed: AfHER2-sFGF2 with a shorter linker and AfHER2-lFGF2 with a longer linker between the HER2 and FGFR1-recognizing proteins. Both proteins exhibited selective binding to HER2 and FGFR1, with AfHER2-lFGF2 demonstrating simultaneous binding to both receptors. AfHER2-lFGF2 exhibited superior internalization compared to FGF2 in FGFR-positive cells and significantly increased internalization compared to AfHER2 in HER2-positive cells. To enhance their therapeutic potential, highly potent cytotoxic agent MMAE was conjugated to the targeting proteins, resulting in protein-drug conjugates. The bispecific AfHER2-lFGF2-vcMMAE conjugate demonstrated exceptional cytotoxic activity against HER2-positive, FGFR-positive, and dual-positive cancer cell lines that was significantly higher compared to monospecific conjugates. These data indicate the beneficial effect of simultaneous targeting of HER2 and FGFR1 in precise anticancer medicine and contribute valuable insights into the design and potential of bispecific targeting molecules for breast cancer treatment.

The prognostic and predictive values of differential expression of exosomal receptor tyrosine kinases and associated with the PI3K/AKT/mTOR signaling in breast cancer patients undergoing neoadjuvant chemotherapy

PURPOSE

Cancer cell-derived exosomes are the mediator of the tumor microenvironment and the molecular content of exosomes presents a promising prognostic or predictive marker in tumor progression and the treatment response of cancer patients. The aim of this study was to identify the expression levels of receptor tyrosine kinases (RTKs) and AKT1 and mTOR before and after neoadjuvant chemotherapy (NACT) in the exosomes of BC patients compared with healthy females.

METHODS

After isolating exosomes in the serum of 25 BC patients and characterization by flow cytometry, the mRNA levels of FGFR2, FGFR3, PDGFRB, AKT1 and mTOR in the exosomes were analyzed by RT-PCR.

RESULTS

Our preliminary findings showed that FGFR2, PDGFRB, AKT1 and mTOR levels were significantly upregulated in BC patients before NACT compared with the healthy group (p < 0.05). Furthermore, the mRNA levels PDGFRB and AKT1 were significantly down-regulated after NACT compared with control. PDGFRB expression level could predict pathological non-response and significantly correlated with tumor size after NACT.

CONCLUSION

Therefore, especially FGFR2, PDGFRB and AKT1 could be a therapeutic target as a prognostic marker, whereas PDGFRB may be a promising predictive indicator of therapy response in BC patients. However, the prognostic or predictive role of RTKs and PI3K/AKT/mTOR signaling in the exosomes should be further investigated in a large patient population.

HER2 and BARD1 Polymorphisms in Early HER2-Positive Breast Cancer Patients: Relationship with Response to Neoadjuvant Anti-HER2 Treatment

The addition to chemotherapy of anti-HER2 drugs such as trastuzumab or pertuzumab has improved outcomes in HER2-positive breast cancer patients. However, resistance to these drugs in some patients remains a major concern. This study examines the possible association between the response to neoadjuvant anti-HER2 treatment in breast cancer patients and the presence of 28 SNPs in 17 genes involved in different cell processes (PON1, CAT, GSTP1, FCGR3, ATM, PIK3CA, HER3, BARD1, LDB2, BRINP1, chr6 intergenic region, RAB22A, TRPC6, LINC01060, EGFR, ABCB1, and HER2). Tumor samples from 50 women with early breast cancer were genotyped using the iPlex^®Gold chemistry and MassARRAY platform, and patients were classified as good responders (Miller-Payne tumor grades 4-5) and poor responders (Miller-Payne tumor grades 1-3), as assessed upon surgery after 6 months of treatment. Proportions of patients with the HER2Ala1170Pro (rs1058808) SNP double mutation were higher in good (58.62%) than poor (20%) responders (p = 0.025). Similarly, proportions of patients carrying the synonymous SNP rs2070096 (BARD1Thr351=) (wv + vv) were higher in patients showing a pathological complete response (46.67%) than in those not showing this response (15.15%) (p = 0.031). The SNPs rs1058808 (HER2Ala1170Pro) and rs2070096 (BARD1Thr351=) were identified here as potential biomarkers of a good response to anti-HER2 treatment.

Association Studies in Clinical Pharmacogenetics

In recent times, the progress of Clinical Pharmacogenetics has been remarkable [...].