Investigator

Liying Zhang

Director, Advanced Molecular Diagnostics Service · David Geffen School of Medicine at UCLA, Pathology and Laboratory Medicine

LZLiying Zhang
Papers(4)
Characterization of a…The RAD51D c.82G>A…Identification and co…Phase II study of the…
Collaborators(6)
Tara M. DavidsonAndrea E. Wahner Hend…Ann L. ObergCoriolan LebretonDeandra K. ChetramJordyn Silverstein
Institutions(5)
Memorial Sloan Ketter…Unknown InstitutionMayo ClinicInstitut BergoniUniversity of Califor…

Papers

Identification and construction of a prognostic risk model based on multi‐RNA methylation regulators in cervical cancer

AbstractAimCervical cancer is one of the most aggressive female cancers. RNA methylation is a necessary epigenetic modification in biological process. This study aimed to construct an RNA methylation regulator‐based risk model for predicting the prognosis of cervical cancer patients.MethodsThe transcriptome profiles of cervical cancer data were obtained from The Cancer Genome Atlas (TCGA) and GSE44001. An RNA methylation‐related risk model was constructed and assessed by the Least absolute shrinkage and selection operator (Lasso)‐penalized Cox regression model and receiver operating characteristic (ROC). Kaplan–Meier and Cox regression analyses were used to evaluate the prognostic effect of the risk model and calculated scores. The immune infiltration difference was further analyzed between the subgroups with a single‐sample gene set enrichment analysis (ssGSEA).ResultsA total of 63 methylation modulators were included in this study, and 618 cervical cancer patients were identified from TCGA and GSE44001. Differential expression genes profiling RNA methylation regulators between normal and tumor samples were distinct. A four‐gene signature panel was constructed to predict the prognostic risk. The predictive ability was satisfactory. Cervical cancer patients were classified into high‐ or low‐risk subgroups according to the median risk score. Moreover, the immune infiltration patterns between them differed.ConclusionsA risk model including four RNA methylation regulators was constructed, which will provide new perspectives for further investigation of the relationship between RNA methylation and cervical cancer.

Phase II study of the efficacy and safety of palbociclib in patients with recurrent ovarian cancer

We describe a phase II clinical trial evaluating the safety and efficacy of the oral CDK4/6 inhibitor palbociclib in patients with recurrent ovarian cancer. Eligible patients with Response Evaluation Criteria in Solid Tumors (RECIST) and/or CA-125 measurable recurrent ovarian cancer were treated with oral palbociclib 125 mg daily for 21 days of a 28-day cycle. Patients with hormone receptor-positive tumors were allowed to concurrently receive an aromatase inhibitor. The primary endpoint was the biochemical response rate, determined by CA-125 response based on Gynecologic Cancer InterGroup criteria. Genomic analyses were performed using targeted next-generation sequencing. The biochemical response rate among 40 patients was 8.3% (95% CI 2.2 to 23.6), and the objective response rate by CA-125 criteria and/or RECIST was 10.5% (95% CI 3.4 to 25.7). Median progression-free survival was 3.2 months. Progression-free survival rates at 6 and 12 months were 25% and 7.5%, respectively. Two patients diagnosed with recurrent low-grade serous ovarian cancer experienced long-term disease stabilization for more than 37 and 9 months, triggering a review of 12 additional low-grade serous ovarian cancer patients treated outside of the phase II trial. Exploratory tumor genomic profiling revealed potential predictors of sensitivity (CDKN2A deletion) or resistance (CCNE1 amplification or RB1 deletion), which require additional independent validation. Palbociclib demonstrated only modest clinical activity in unselected patients with ovarian cancer. However, cyclin-dependent kinases 4/6 inhibition showed promising clinical activity in low-grade serous ovarian cancer, warranting further study in this subtype. Further biomarker analyses may facilitate patient selection in high-grade serous ovarian cancer.

4Papers
6Collaborators

Positions

2020–

Director, Advanced Molecular Diagnostics Service

David Geffen School of Medicine at UCLA · Pathology and Laboratory Medicine