FHFengjuan Han
Papers(9)
Research progress on …RNA sequencing in ova…Research Progress of …Unlocking the mitocho…The estrogen-progesto…A literature review o…Insights into the Rol…Association between X…The role of vaginal m…
Collaborators(10)
Fang-Yuan LiuLiang-Zhen XieMeng-Ya WangSiya HuSiyu WangYang FuJia LiYing ShenYu WangChen-Yu Li
Institutions(3)
First Affiliated Hosp…Heilongjiang Universi…Air Force Medical Uni…

Papers

The estrogen-progestogen-oxidative stress network in uterine fibroids: mechanistic insights and therapeutic opportunities

Uterine fibroids are benign tumors with high incidence and recurrence rates that still pose significant treatment challenges. Traditionally, it has been believed that estrogen and progesterone primarily drive the development and progression of uterine fibroids. Recent studies have revealed that hormonal imbalance can affect reactive oxygen species production and trigger a significant oxidative stress (OS) state. The OS status in uterine fibroids can further amplify the pathological effects caused by hormonal imbalance. This suggests that estrogen, progesterone, and OS may interact to form an estrogen-progesterone-oxidative stress (E-P-OS) network, collectively promoting the progression of uterine fibroids. This network model provides a theoretical basis for the high recurrence rates following hormone monotherapy or surgery. Therefore, we reviewed the molecular mechanisms underlying hormone-OS interactions within the E-P-OS network and elucidated its pathological effects in promoting uterine fibroid progression. The integrated perspective lays the theoretical foundation for developing novel therapies that simultaneously block hormone signaling and counteract oxidative damage. Additionally, we summarized current clinical strategies for hormone therapy and antioxidant treatment, identified potential combination therapy approaches, and explored key challenges in their clinical translation. This aims to provide new directions and evidence for advancing the precision treatment of uterine fibroids.

A literature review on signaling pathways of cervical cancer cell death-apoptosis induced by Traditional Chinese Medicine

Cervical cancer (CC) is a potentially lethal disorder that can have serious consequences for a woman's health. Because early symptoms are typically only present in the middle to late stages of the disease, clinical diagnosis and treatment can be challenging. Traditional Chinese medicine (TCM) has been shown to have unique benefits in terms of alleviating cancer clinical symptoms, lowering the risk of recurrence after surgery, and reducing toxic side effects and medication resistance after radiation therapy. It has also been shown to improve the quality of life for patients. Because of its improved anti-tumor effectiveness and biosafety, it could be considered an alternative therapy option. This study examines how TCM causes apoptosis in CC cells via signal transduction, including the active components and medicinal tonics. It also intends to provide a reliable clinical basis and protocol selection for the TCM therapy of CC. The following search terms were employed in PubMed, Web of Science, Embase, CNKI, Wanfang, VIP, SinoMed, and other scientific databases to retrieve pertinent literature on "cervical cancer," "apoptosis," "signaling pathway," "traditional Chinese medicine," "herbal monomers," "herbal components," "herbal extracts," and "herbal formulas." It has been demonstrated that herbal medicines can induce apoptosis in cells of the cervix, a type of cancer, by influencing the signaling pathways involved. A comprehensive literature search was conducted, and 148 papers from the period between January 2017 and December 2023 were identified as eligible for inclusion. After a meticulous process of screening, elimination and summary, generalization, and analysis, it was found that TCM can regulate multiple intracellular signaling pathways and related molecular targets, such as STAT3, PI3K/AKT, Wnt/β-catenin, MAPK, NF-κB, p53, HIF-1α, Fas/FasL and so forth. This regulatory capacity was observed to induce apoptosis in cervical cancer cells. The study of the mechanism of TCM against cervical cancer and the screening of new drug targets is of great significance for future research in this field. The results of this study will provide ideas and references for the future development of Chinese medicine in the diagnosis and treatment of cervical cancer.

Association between XRCC3 rs861539 Polymorphism and the Risk of Ovarian Cancer: Meta‐Analysis and Trial Sequential Analysis

Background. Current studies on the relationship between XRCC3 rs861539 polymorphism and ovarian cancer risk have been inconsistent. Therefore, we performed a meta‐analysis to explore their association. Methods. Six electronic databases (PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, and China Wanfang Database) were searched for relevant studies published before December 2021. Meta‐analysis, subgroup analysis, sensitivity analysis, and publication bias analysis were performed using Stata software 16.0. Trial sequential analysis (TSA) was performed using TSA 0.9.5.10 Beta software. Results. A total of 12 studies were included in 9 literatures, comprising 4,634 cases of ovarian cancer and 7,381 controls. After Bonferroni correction, the meta‐analysis showed an association between XRCC3 rs861539 polymorphism and ovarian cancer risk in the heterozygote model and the dominant model (GA vs. GG: OR = 0.88, 95%CI = 0.81‐0.96, P = 0.003; GG vs. GA+AA: OR = 0.89, 95%CI = 0.82‐0.96, P = 0.004). In an ethnically stratified subgroup analysis, XRCC3 rs861539 was shown to reduce the risk of ovarian cancer in Caucasian in the heterozygote model and the dominant model (GA vs. GG: OR = 0.88, 95%CI = 0.81‐0.96, P = 0.004; GG vs. GA+AA: OR = 0.88, 95%CI = 0.81‐0.96, P = 0.004). In the control source and detection method stratified subgroup analysis, hospital‐based studies and PCR‐RFLP‐based studies were found to increase ovarian cancer risk (GG vs. AA: OR = 1.30, 95%CI = 1.05‐1.62, P = 0.016; GG vs. AA: OR = 1.31, 95%CI = 1.06‐1.62, P = 0.013). Conclusion. This meta‐analysis showed a significant association between XRCC3 rs861539 polymorphism and ovarian cancer risk, especially in Caucasians. Large‐scale multicenter case‐control studies in more different regions will be needed in the future.

18Works
9Papers
13Collaborators
Ovarian NeoplasmsUterine NeoplasmsBiomarkers, TumorNeoplasm MetastasisEndometriosisCarcinoma, Ovarian EpithelialGenetic Predisposition to Disease

Positions

Researcher

First Affiliated Hospital of Heilongjiang University of Chinese Medicine

Country

CN