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Yang, Lin

0000-0003-2372-7547

Mayo Clinic

Mayo Clinic

Citations 3

Interpretation of guidelines for diagnosis and treatment of ovarian cancer with integrated traditional Chinese and western medicine
Liu, Jiaxin , Cui, Yongjia, Lü, Wenping , Zhuo, Zhili , Cui, Yongjia , Wang, Jianliu , Yang, Lin

Guidelines and Standards of Chinese Medicine | April 9, 2025 | Volume: 3 | Issue: 2 | Pages: 178-186

10.1097/gscm.0000000000000061 Get It

Ovarian cancer (OC) has the highest mortality rate among gynecologic malignant tumors and is clinically difficult to cure. Traditional Chinese medicine (TCM) has shown unique advantages in the treatment of OC. However, there is currently a lack of normative guidance documents for the treatment of OC with integrated traditional Chinese and western medicine. The guidelines are the first comprehensive approach to diagnosing and treating OC by integrating TCM with western medicine. Adhering to evidence-based principles, the guidelines draw on the most recent advancements in OC treatment from both domestic and international researches. The guidelines formulate a variety of therapeutic methods, including oral Chinese herbal medicine, acupuncture, and external treatments, providing a treatment strategy for the combined use of TCM and western medicine in OC. Furthermore, the guidelines establish a diagnostic and treatment pathway for the holistic management of OC with TCM throughout the disease’s progression. The guidelines were officially published in the China Association of Chinese Medicine in January 2023, which provided a scientific basis for the formulation of clinical diagnosis and treatment strategies and promoted integration with international academic standards. This paper interpreted the features of the guidelines and the 7 PICO issues (Population, Intervention, Comparison, Outcome) in the whole TCM management of OC, aiming to help TCM and western medicine practitioners better understand and apply the guidelines, and provide better medical services for patients with OC.
Abstract 4814: Testing personalized therapies for ovarian cancer using mate pair genomic analysis and patient-derived xenografts
Leventakos, Konstantinos , Harris, Faye R. , Hou, Xiaonan , Weroha, Saravut J., Kovtun, Irina V. , Yang, Lin

Cancer Research | July 31, 2017 | Volume: 77 | Issue: 13_Supplement | Pages: 4814-4814

10.1158/1538-7445.am2017-4814 Get It

Abstract Purpose: The treatment of ovarian cancer poses a challenge since 70% of patients will relapse with incurable platinum resistant disease. Although ovarian cancers lack frequently-occurring driver mutations or amplifications, the study presented herein examines the concept of individualized therapy based on mate pair sequencing and protein expression in ovarian cancer patient-derived xenografts. Experimental Procedure: Macrodissection of patient tumor was followed by genomic DNA isolation and next-generation sequencing using an Illumina Mate Pair protocol to identify structural genomic changes and copy number variations. Secondary analyses were carried out to select potential therapeutic targets among those. The tumors were also propagated intraperitoneally in immunocompromised mice and treated with standard chemotherapy or/and targeted therapy chosen based on genomic analyses. Results: Mate pair analysis revealed that, in general, copy number changes (amplifications, gains and losses) were common in ovarian tumors and included genes potentially targetable. Tumors from early generation patient- derived xenografts showed a landscape of genomic aberrations identical to that of original patient tumor. One PDX model in which high expression of HER2 and copy number gains at RICTOR and AKT genetic loci were revealed, was treated with either chemotherapy and Pertuzumab/trastuzumab (HER2 inhibitors), MK-8669 (mTOR inhibitor) or MK-2206 (AKT inhibitor) or chemotherapy alone. Tumor size was measured by serial abdominal ultrasound and after 28 days, the final tumor size ratio compared to baseline was 0.23, 0.36, 0.55 and 0.56, respectively, indicating that the best response was seen in the combined chemotherapy and Pertuzumab/trastuzumab cohort and that was better than in the chemotherapy only cohort. Conclusions: Patient-derived xenografts models in conjunction with genomic and protein analyses of patient tumors are valuable for testing of combination therapies including specific targeting drugs. This approach also provides actionable information for more tailored treatment of ovarian cancer patients. Citation Format: Konstantinos Leventakos, Faye R. Harris, Lin Yang, Xiaonan Hou, Saravut Weroha, Irina V. Kovtun. Testing personalized therapies for ovarian cancer using mate pair genomic analysis and patient-derived xenografts [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4814. doi:10.1158/1538-7445.AM2017-4814
Abstract A34: Targeting genes which are amplified in ovarian cancer
Harris, Faye R. , Hou, Xiaonan , Leventakos, Konstantinos , Weroha, Saravut J., Vasmatzis, George , Kovtun, Irina V. , Yang, Lin

Clinical Cancer Research | January 4, 2017 | Volume: 23 | Issue: 1_Supplement | Pages: A34-A34

10.1158/1557-3265.pmccavuln16-a34 Get It

Abstract Over the recent years significant knowledge has been accumulated on which drugs can be therapeutically beneficial for a given patient based on mutational profiling of their tumors using selected gene panels. Much less, however, is known under which conditions targeting of genes which are amplified could be beneficial. Apart from successfully targeting HER2-positive cancers, many of which frequently carry amplified ERBB2 gene, no other targeted therapy based on DNA amplifications or gains of the genes is offered to the patients due to lack of clinical response data. Using mate pair sequencing we have profiled 60 high grade serous ovarian tumors to compare genomic rearrangements and copy number changes. The analyses revealed that these tumors carry highly rearranged genome. Copy number changes amplifications, gains and losses were very common and included genes potentially therapeutically targetable. In contrast, only a few of targetable fusion genes were identified in a set of 60 cases. The tumors were propagated in immunocompromised mice (mouse avatars), sequenced and showed identical to original patient tumor landscape of rearrangements. Using these mouse avatar models we tested whether a therapy inhibiting selected based on genomic amplification targets provided a benefit compared to standard chemotherapy. Mice which harbored tumors showing amplifications of CDKs (CDK2, 4 and 9) and ERBB3 were treated with flavopiridol and pertuzumab respectively, and response was compared to that of standard for ovarian cancer chemotherapy (carboplatin and paclitaxel combination). We observed that application of either agent, significantly inhibited tumor growth in treated mice as compared to untreated. However, neither drug alone caused tumor regression. The treatment regimen then was modified to administer chemotherapy and targeted therapy together. A mouse avatars in which genomic analyses revealed amplification at loci involving AKT3 and RICTOR genes was treated with chemotherapy alone and in combination with MK2206 (AKT inhibitor) or MK8669 (mTOR inhibitor). The high level of both target proteins was confirmed by immunoblotting. Significant regression of tumor was observed after 6 weeks of treatment. Addition of either targeted drug provided an extra benefit in killing tumor cells compared to chemotherapy alone. The mice are followed to study tumor recurrence. These data indicated that genomic information obtained using next generation sequencing can aid therapy decisions by tailoring treatments to individual tumor makeup. Avatar models in conjunction with genomic analyses of the original tumors are invaluable for testing specific targeted therapies selected based on amplification/gains of putative genes-targets and for studying mechanisms of tumor recurrence and therapy resistance. Citation Format: Faye R. Harris, Lin Yang, Xiaonan Hou, Konstantinos Leventakos, Saravut J. Weroha, George Vasmatzis, Irina V. Kovtun. Targeting genes which are amplified in ovarian cancer. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Targeting the Vulnerabilities of Cancer; May 16-19, 2016; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(1_Suppl):Abstract nr A34.