Advances in ovarian tumor stem cells and therapy.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Biochemistry and Biophysics Pub Date : 2024-07-03 DOI:10.1007/s12013-024-01385-8
Biqing Chen, Jiaqi Liu
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Abstract

Ovarian cancer is considered the most lethal among all gynecological malignancies due to its early metastatic dissemination, extensive spread, and malignant ascites. The current standard of care for advanced ovarian cancer involves a combination of cytoreductive surgery and chemotherapy utilizing platinum-based and taxane-based agents. Although initial treatment yields clinical remission in 70-80% of patients, the majority eventually develop treatment resistance and tumor recurrence. A growing body of evidence indicates the existence of cancer stem cells within diverse solid tumors, including ovarian cancer, which function as a subpopulation to propel tumor growth and disease advancement by means of drug resistance, recurrence, and metastasis. The presence of ovarian cancer stem cells is widely considered to be a significant contributor to the unfavorable clinical outcomes observed in patients with ovarian cancer, as they play a crucial role in mediating chemotherapy resistance, recurrence, and metastasis. Ovarian cancer stem cells possess the capacity to reassemble within the entirety of the tumor following conventional treatment, thereby instigating the recurrence of ovarian cancer and inducing resistance to treatment. Consequently, the creation of therapeutic approaches aimed at eliminating ovarian cancer stem cells holds great potential for the management of ovarian cancer. These cells are regarded as one of the most auspicious targets and mechanisms for the treatment of ovarian cancer. There is a pressing need for a comprehensive comprehension of the fundamental mechanisms of ovarian cancer's recurrence, metastasis, and drug resistance, alongside the development of effective strategies to overcome chemoresistance, metastasis, and recurrence. The implementation of cancer stem cell therapies may potentially augment the tumor cells' sensitivity to existing chemotherapy protocols, thereby mitigating the risks of tumor metastasis and recurrence, and ultimately improving the survival rates of ovarian cancer patients.

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卵巢肿瘤干细胞和治疗的进展。
卵巢癌因其早期转移、广泛扩散和恶性腹水而被认为是所有妇科恶性肿瘤中致死率最高的一种。目前,晚期卵巢癌的标准治疗方法包括细胞剥脱手术和使用铂类和类固醇类药物的化疗。虽然 70%-80% 的患者在初始治疗后可获得临床缓解,但大多数患者最终会出现耐药性和肿瘤复发。越来越多的证据表明,包括卵巢癌在内的各种实体瘤中都存在癌症干细胞,它们作为一个亚群,通过耐药性、复发和转移等方式推动肿瘤生长和疾病进展。人们普遍认为,卵巢癌干细胞的存在是导致卵巢癌患者出现不良临床结果的重要原因,因为它们在介导化疗耐药性、复发和转移方面起着至关重要的作用。卵巢癌干细胞有能力在常规治疗后在整个肿瘤内重新组合,从而导致卵巢癌复发并诱发抗药性。因此,创造旨在消除卵巢癌干细胞的治疗方法,在治疗卵巢癌方面具有巨大潜力。这些细胞被认为是治疗卵巢癌的最有利靶点和机制之一。目前迫切需要全面了解卵巢癌复发、转移和耐药性的基本机制,同时制定有效的策略来克服化疗耐药性、转移和复发。癌症干细胞疗法的实施有可能增强肿瘤细胞对现有化疗方案的敏感性,从而降低肿瘤转移和复发的风险,最终提高卵巢癌患者的生存率。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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