Qingjian Ye

Recurrence‐Associated Multi‐RNA Signature to Predict Disease‐Free Survival for Ovarian Cancer Patients

Ovarian cancer (OvCa) is an intractable gynecological malignancy due to the high recurrence rate. Several molecular biomarkers have been previously screened for early identifying patients with a high recurrence risk and poor prognosis. However, all the known studies focused on a single type of RNAs, not integrating various types. This study was to construct a new multi‐RNA‐based model to predict the recurrence and prognosis for OvCa patients by using the messenger RNA (mRNA, including long noncoding RNA (lncRNA)) and microRNA (miRNA) sequencing data of The Cancer Genome Atlas database. After univariate Cox regression and least absolute shrinkage and selection operator analyses, a multi‐RNA‐based signature (2 miRNAs: hsa‐miR‐508, hsa‐miR‐506; 1 lncRNA: TM4SF1‐AS1; 11 mRNAs: MAGI3, SLAMF7, GLI2, PDK1, ARID3A, PLEKHG4B, TNFAIP8L3, C1QTNF3, NDUFAF1, CH25H, TMEM129) was generated and used to establish a risk score model. The high‐ and low‐risk patients classified by the median risk score exhibited significantly different recurrence risks (89% versus 61%, p < 0.001) and survival time (the area under the receiver operating characteristic curve (AUC) = 0.901 for 5‐year disease‐free survival (DFS)). This risk model was independent of other clinical features and superior to pathologic staging for DFS prediction (AUC, 0.906 versus 0.524; C‐index, 0.633 versus 0.510). Furthermore, some new interaction axes were revealed to explain the possible functions of these RNAs (competing endogenous RNA: TM4SF1‐AS1‐miR‐186‐STEAP2, LINC00536‐miR‐508‐STEAP2, LINC00475‐miR‐506‐TMEM129; coexpression: LINC00598‐PLEKHG4B). In conclusion, this multi‐RNA‐based risk model may be clinically useful to stratify OvCa patients with different recurrence risks and survival outcomes and included RNAs may be potential therapeutic targets.

Neoadjuvant Chemotherapy Followed by Radical Surgery versus Radiotherapy (with or without Chemotherapy) in Patients with Stage IB2, IIA, or IIB Cervical Cancer: A Systematic Review and Meta-Analysis

Background. This study was to compare the efficacy and safety between neoadjuvant chemotherapy followed by radical surgery (NACT+RS) and radiotherapy only (RT) or concurrent chemoradiotherapy (CCRT) for treatment of patients with stage IB2, IIA, or IIB cervical cancer. Method. The electronic databases of PubMed, Embase, and the Cochrane Library were searched to screen relevant studies from their inception to October 2018. Clinical data including overall survival (OS), disease-free survival (DFS), and adverse events were extracted. Egger’s test was used to evaluate the publication bias, and sensitivity analysis was conducted to estimate the robustness of results. Results. Finally, three randomized controlled trials (RCTs) and two case-control studies consisting of 1,275 patients with stage IB2, IIA, or IIB cervical cancer were included in the current study. Overall, pooled results showed no significant differences in OS ((hazard ratio HR=0.603, 95%CI=0.350−1.038) and DFS (HR=0.678, 95%CI=0.242−1.904) for patients treated with NACT+RS compared with RT only or CCRT, but the subgroup analysis showed that the OS and DFS were significantly longer in the NACT+RS groups than the RT or CCRT group (OS: HR=0.431, 95%CI=0.238−0.781, p=0.006; DFS: HR=0.300, 95%CI=0.187−0.482, p<0.001) for the population with median follow-up time of more than 60 months. For adverse events, the incidence of thrombocytopenia in the NACT+RS group was significantly higher than that in the RT only or CCRT group (relative risk RR=3.240, 95% CI 1.575-6.662), while the incidence of diarrhea was significantly lower than that in the RT only or CCRT group (RR=0.452, 95% CI =0.230-0.890). Conclusion. These findings suggest that the short-term therapeutic effects of the two treatments may be possibly equal for patients with stage IB2-IIB cervical cancer, but the long-term effects for improving OS and DFS may be better using NACT+RS compared with the RT only or CCRT.