A phase 2 study of intraperitoneal carboplatin plus intravenous dose-dense paclitaxel in front-line treatment of suboptimal residual ovarian cancer

Identification of CCNB1 as a biomarker for cellular senescence in hepatocellular carcinoma: a bioinformatics and experimental validation study

BACKGROUND

Hepatocellular carcinoma (HCC), originating in the liver and often asymptomatic in early stages, frequently metastasises and recures post-surgery. Currently, reliable diagnostic biomarkers and therapeutic targets for HCC are lacking. This study investigates the influence of cellular senescence on HCC, employing bioinformatics analysis and in vitro experiments to identify potential biomarkers.

METHODS

We integrated data from GEO microarrays (GSE14520, GSE45267 and GSE64041) to analyse differentially expressed genes (DEGs) using the R package limma. WGCNA identified gene modules highly correlated to HCC. Then, ageing-highly related differentially expressed genes (AgHDEGs) were identified. Correlation analysis, GO and KEGG functional enrichment analysis, and gene co-expression network analysis further elucidated the functions of AgHDEGs. The STRING database identified hub AgHDEGs with CCNB1 subsequently evaluated for diagnostic value using ROC curve analysis. Additionally, we explored the correlation between CCNB1 and immune cells and assessed its biological functions via GSEA. Ultimately, the conclusions from bioinformatics analysis were confirmed via in vitro experiments, complemented by molecular docking simulations of gene-drug interactions.

RESULTS

Eight AgHDEGs (KPNA2, CCT3, CCNB1, RACGAP1, CDKN3, FEN1, MT1X and FOXM1) were identified. PPI network analysis highlighted CCNB1 as hub AgHDEGs with ROC analysis confirming its strong diagnostic potential. Analysis of immune infiltration revealed a significant correlation between CCNB1 and M0 macrophages. Subsequent studies showed CCNB1's critical role in regulating the cell cycle. Validation experiments illustrated an upregulation of CCNB1 expression in HCC, while inhibiting CCNB1 may reduce HepG2 cell proliferation by promoting cellular senescence. Moreover, molecular docking indicated CCNB1 as a potential therapeutic target.

CONCLUSION

Our study underscores CCNB1's potential impact on HCC senescence and progression, suggesting its candidacy as a biomarker for HCC.

Prediction of response to promising first-line chemotherapy in ovarian cancer patients with residual peritoneal tumors: practical biomarkers and robust multiplex models

BACKGROUND

Platinum/taxane (TC) chemotherapy with debulking surgery stays the mainstay of the treatment in ovarian cancer patients with peritoneal metastasis, and recently its novel modality, intraperitoneal carboplatin with dose-dense paclitaxel (ddTCip), was shown to have greater therapeutic impact. Nevertheless, the response varies among patients and consequent recurrence, or relapse often occurs. Discovery of therapeutic response predictor to ddTCip and/or TC therapy is eagerly awaited to improve the treatment outcome.

METHODS

Using datasets in 76 participants in our ddTCip study and published databases on patients received TC therapy, we first validated a total of 75 previously suggested markers, sought out more active biomarkers through the association analyses of genome-wide transcriptome and genotyping data with progression-free survival (PFS) and adverse events, and then developed multiplex statistical prediction models for PFS and toxicity by mainly using multiple regression analysis and the classification and regression tree (CART) algorithm.

RESULTS

The association analyses revealed that SPINK1 could be a possible biomarker of ddTCip efficacy, while ABCB1 rs1045642 and ERCC1 rs11615 would be a predictor of hematologic toxicity and peripheral neuropathy, respectively. Multiple regression analyses and CART algorithm finally provided a potent efficacy prediction model using 5 gene expression data and robust multiplex toxicity prediction models-CART models using a total of 4 genotype combinations and multiple regression models using 15 polymorphisms on 12 genes.

CONCLUSION

Biomarkers and multiplex models composed here could work well in the response prediction of ddTCip and/or TC therapy, which might contribute to realize optimal selection of the key therapy.

Intraperitoneal Carboplatin for Ovarian Cancer - A Phase 2/3 Trial

BACKGROUND: Intraperitoneal chemotherapy has been shown to be effective at reducing mortality for patients with advanced epithelial ovarian cancer but is not widely used in practice. METHODS: We performed the Intraperitoneal Therapy for Ovarian Cancer with Carboplatin (iPocc) trial as an open-label, international, multi-institutional, randomized phase 2/3 clinical trial in women with newly diagnosed epithelial ovarian cancer who underwent laparotomy or laparoscopy. All patients received intravenous paclitaxel (80 mg/m2 on days 1, 8, and 15 of a 21-day cycle). In addition, patients in the control group received intravenous carboplatin (dose-dense intravenous paclitaxel plus intravenous carboplatin [dd-TCiv]), whereas patients in the experimental group received dose-dense intravenous paclitaxel plus intraperitoneal carboplatin (dd-TCip). The primary end point was progression-free survival (PFS). Secondary end points included overall survival, tumor response, treatment completion rate, and incidence of adverse events (AEs). RESULTS: Among 655 patients randomized to treatment, median (95% confidence interval [CI]) PFS was 20.7 (18.1 to 22.8) months for dd-TCiv (n=328) and 23.5 (20.5 to 26.9) months for dd-TCip (n=327; hazard ratio, 0.83; 95% CI, 0.69 to 0.99; P=0.04). The PFS benefit with dd-TCip was consistent in patients with different baseline characteristics, stage, size of residual tumor, age, and performance status. The treatment completion rates were 68.3 and 59.9% in the dd-TCiv and dd-TCip groups, respectively. The incidence of intraperitoneal catheter-related AEs in the dd-TCip group was 10.1%; there were no such AEs in the dd-TCiv group. CONCLUSIONS: In the first-line treatment of advanced epithelial ovarian cancer, intraperitoneal carboplatin resulted in a modest prolongation of PFS when given with dose-dense weekly paclitaxel regardless of residual tumor size, with no impact on noncatheter-related toxicities. (Funded by the Japan Agency for Medical Research and Development, and others; Japan Registry of Clinical Trials number, jRCTs031180141.)

Chemoresistance in Ovarian Cancer: Prospects for New Drugs

This review focuses on the conventional treatment, signaling pathways and various reasons for drug resistance with an understanding of novel methods that can lead to effective therapies. Ovarian cancer is amongst the most common gynecological and lethal cancers in women affecting different age groups (20-60). The survival rate is limited to 5 years due to diagnosis in subsequent stages with a reoccurrence of tumor and resistance to chemotherapeutic therapy. The recent clinical trials use the combinatorial treatment of carboplatin and paclitaxel on ovarian cancer after the cytoreduction of the tumor. Predominantly, patients are responsive initially to therapy and later develop metastases due to drug resistance. Chemotherapy also leads to drug resistance causing enormous variations at the cellular level. Multifaceted mechanisms like drug resistance are associated with a number of genes and signaling pathways that process the proliferation of cells. Reasons for resistance include epithelial-mesenchyme, DNA repair activation, autophagy, drug efflux, pathway activation, and so on. Determining the routes on the molecular mechanism that target chemoresistance pathways are necessary for controlling the treatment and understanding efficient drug targets can open light on improving therapeutic outcomes. The most common drug used for ovarian cancer is Cisplatin that activates various chemoresistance pathways, ultimately causing drug resistance. There have been substantial improvements in understanding the mechanisms of cisplatin resistance or chemo sensitizing cisplatin for effective treatment. Therefore, using therapies that involve a combination of phytochemical or novel drug delivery system would be a novel treatment for cancer. Phytochemicals are plant-derived compounds that exhibit anti-cancer, anti-oxidative, anti-inflammatory properties and reduce side effects exerted by chemotherapeutics.

Comparing Paclitaxel-Carboplatin with Paclitaxel-Cisplatin as the Front-Line Chemotherapy for Patients with FIGO IIIC Serous-Type Tubo-Ovarian Cancer

The use of weekly chemotherapy for the treatment of patients with advanced-stage serous-type epithelial Tubo-ovarian cancer (ETOC), and primary peritoneal serous carcinoma (PPSC) is acceptable as the front-line postoperative chemotherapy after primary cytoreductive surgery (PCS). The main component of dose-dense chemotherapy is weekly paclitaxel (80 mg/m²), but it would be interesting to know what is the difference between combination of triweekly cisplatin (20 mg/m²) or triweekly carboplatin (carboplatin area under the curve 5-7 mg/mL per min [AUC 5-7]) in the dose-dense paclitaxel regimen. Therefore, we compared the outcomes of women with Gynecology and Obstetrics (FIGO) stage IIIC ETOC and PPSC treated with PCS and a subsequent combination of dose-dense weekly paclitaxel and triweekly cisplatin (paclitaxel–cisplatin) or triweekly carboplatin using AUC 5 (paclitaxel–carboplatin). Between January 2010 and December 2016, 40 women with International Federation of Gynecology and Obstetrics (FIGO) stage IIIC EOC, FTC, or PPSC were enrolled, including 18 treated with paclitaxel–cisplatin and the remaining 22 treated with paclitaxel–carboplatin. There were no statistically significant differences in disease characteristics of patients between two groups. Outcomes in paclitaxel–cisplatin group seemed to be little better than those in paclitaxel–carboplatin (median progression-free survival [PFS] 30 versus 25 months as well as median overall survival [OS] 58.5 versus 55.0 months); however, neither reached a statistically significant difference. In terms of adverse events (AEs), patients in paclitaxel–carboplatin group had more AEs, with a higher risk of neutropenia and grade 3/4 neutropenia, and the need for a longer period to complete the front-line chemotherapy, and the latter was associated with worse outcome for patients. We found that a period between the first-time chemotherapy to the last dose (6 cycles) of chemotherapy >21 weeks was associated with a worse prognosis in patients compared to that ≤21 weeks, with hazard ratio (HR) of 81.24 for PFS and 9.57 for OS. As predicted, suboptimal debulking surgery (>1 cm) also contributed to a worse outcome than optimal debulking surgery (≤1 cm) with HR of 14.38 for PFS and 11.83 for OS. Based on the aforementioned findings, both regimens were feasible and effective, but maximal efforts should be made to achieve optimal debulking surgery and following the on-schedule administration of dose-dense weekly paclitaxel plus triweekly platinum compounds. Randomized trials validating the findings are warranted.