Response to anti-HER2 neoadjuvant chemotherapy in HER2-positive invasive breast cancers with different HER2 FISH patterns.

AIMS: Human epidermal growth factor receptor 2 (HER2)-positive patients with breast cancer may have different HER2/CEP17 ratios and HER2 copy numbers, with inconsistent responses to anti-HER2 neoadjuvant chemotherapy (NACT). Our study aimed to explore the relationship between different HER2 fluorescence in situ hybridisation (FISH) patterns in HER2-positive patients with breast cancer and responses to anti-HER2 NACT. METHODS: 527 patients with HER2-positive invasive breast cancer who received anti-HER2 NACT from 2015 to 2022 were included and divided into three groups by FISH results, namely group A: HER2/CEP17<2.0 and HER2 copy numbers ≥6.0, HER2 immunohistochemistry 2/3+; group B: HER2/CEP17≥2.0 and HER2 copy numbers ≥4.0 and <6.0; group C: HER2/CEP17≥2.0 and HER2 copy numbers ≥6.0. We compared clinicopathological characteristics and pathological complete response (pCR) rates of different groups. RESULTS: According to HER2 FISH results, 12 patients (2.3%, 12/527) were in group A, 40 (7.6%, 40/527) were in group B and 475 (90.1%, 475/527) were in group C. The pCR rate was the lowest in group B (5.0%), while the pCR rates in group A and group C were 33.3% and 44.4%, respectively (p (group A vs. B) =0.021, p (group C vs. B) < 0.001). Both univariate and multivariate analyses revealed that HER2 FISH pattern was correlated with pCR rate (p (group C vs. B) < 0.001, p (group C vs. B) = 0.025). CONCLUSIONS: Patients with HER2/CEP17≥2.0 and HER2 copy numbers ≥4.0 and <6.0 do not benefit to the same extent from current anti-HER2 therapies as FISH-positive patients with other patterns.

A novel cuproptosis-related prognostic 2-lncRNAs signature in breast cancer.

Background: Cuproptosis, a newly defined regulated form of cell death, is mediated by the accumulation of copper ions in cells and related to protein lipoacylation. Seven genes have been reported as key genes of cuproptosis phenotype. Cuproptosis may be developed by subsequent research as a target to treat cancer, such as breast cancer. Long-noncoding RNA (lncRNA) has been proved to play a vital role in regulating the biological process of breast cancer. However, the role of lncRNAs in cuproptosis is poorly studied. Methods: Based on TCGA (The Cancer Genome Atlas) database and integrated several R packages, we screened out 153 cuproptosis-related lncRNAs and constructed a novel cuproptosis-related prognostic 2-lncRNAs signature (BCCuS) in breast cancer and then verified. By using pRRophetic package and machine learning, 72 anticancer drugs, significantly related to the model, were screened out. qPCR was used to detect the differentially expression of two model lncRNAs and seven cuproptosis genes between 10 pairs of breast cancer tissue samples and adjacent samples. Results: We constructed a novel cuproptosis-related prognostic 2-lncRNAs (USP2-AS1, NIFK-AS1) signature (BCCuS) in breast cancer. Univariate COX analysis (p < .001) and multivariate COX analysis (p < .001) validated that BCCuS was an independent prognostic factor for breast cancer. Overall survival Kaplan Meier-plotter, ROC curve and Risk Plot validated the prognostic value of BCCuS both in test set and verification set. Nomogram and C-index proved that BCCuS has strong correlation with clinical decision-making. BCCuS still maintain inspection efficiency when patients were splitting into Stage I-II (p = .024) and Stage III-IV (p = .003) breast cancer. BCCuS-high group and BCCuS-low group showed significant differences in gene mutation frequency, immune function, TIDE (tumor immune dysfunction and exclusion) score and other phenotypes. TMB (tumor mutation burden)-high along with BCCuS-high group had the lowest Survival probability (p = .005). 36 anticancer drugs whose sensitivity (IC50) was significantly related to the model were screened out using pRRophetic package. qPCR results showed that two model lncRNAs (USP2-AS1, NIFK-AS1) and three Cuproptosis genes (FDX1, PDHA1, DLAT) expressed differently between 10 pairs of breast cancer tissue samples and adjacent samples. Conclusion: The current study reveals that cuproptosis-related prognostic 2-lncRNAs signature (BCCuS) may be useful in predicting the prognosis, biological characteristics, and appropriate treatment of breast cancer patients.

IL-17 induces the proliferation and migration of glioma cells through the activation of PI3K/Akt1/NF-κB-p65.

Interleukin 17 (IL-17), as a pro-inflammatory cytokine, is up-regulated in the sera and tumor tissues of glioma patients; however the effects of IL-17 on glioma proliferation and migration remain unclear. In this study, the roles of IL-17 in the proliferation and migration of glioma cells and their potential mechanisms were determined. The results showed that IL-17 could not only enhance the proliferation and migration of cultured glioma cells (in vitro), but also promote the tumor formation of glioma cells in BALB/c nude mice (in vivo). Mechanical exploration revealed that IL-17 stimulation could increase the phosphorylation levels of Akt1 and NF-κB-p65 in glioma cells, and knockdown or inhibition of PI3K, Akt1 and NF-κB-p65 could also reduce the IL-17-induced proliferation and migration of the glioma cells. Moreover, PI3K/Akt1 was the upstream regulator of NF-κB-p65 activation in IL-17-incubated glioma cells. Furthermore, the inhibition of PI3K, Akt1 and NF-κB-p65 markedly suppressed the tumor formation of glioma cells induced by IL-17. Together, these data indicate that IL-17 can promote the proliferation and migration of glioma cells via PI3K/Akt1/NF-κB-p65 activation, and these findings might provide a new insight into glioma pathogenesis.