Yi Liu, Lin Yuan, Zhang Lin, Miao Huixian, Meng Huangyang, Wenjun Cheng
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Then, univariate and multivariate Cox proportional hazards regression analyses were used to identify the predictors of progression-free survival.</p><p><strong>Results: </strong>Favorable KELIM score (≥ 1, HR 0.376, 95% CI [0.202-0.700], p = 0.002), which indicated better chemosensitivity, and lower LDH levels (≤ 210 U/L, HR 38.73, 95% CI [6.108-245.6], p < 0.001) were found to be independent predictors of a treatment benefit with bevacizumab in patients with advanced ovarian cancer. Regardless of LDH level, patients with favorable KELIM scores had a higher progression-free survival (PFS) benefit (p = 0.18). Among patients with unfavorable KELIM scores, those with higher LDH levels had the lowest PFS benefit (median: 11.5 months, p = 0.0059).</p><p><strong>Conclusion: </strong>Patients with poor chemosensitivity and low LDH levels are more likely to benefit from first-line bevacizumab treatment. The combination of the two markers can be a helpful predictor of patients who are most likely to benefit from treatment and a guide for treatment decisions-making. Retrospectively registered: 2020-MD-371, 2020.10.12.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"340-350"},"PeriodicalIF":2.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The serum LDH level and KELIM scores are potential predictors of a benefit from bevacizumab first-line therapy for patients with advanced ovarian cancer.\",\"authors\":\"Yi Liu, Lin Yuan, Zhang Lin, Miao Huixian, Meng Huangyang, Wenjun Cheng\",\"doi\":\"10.1007/s12094-024-03569-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The survival benefit of first-line treatment with bevacizumab in advanced ovarian cancer patients are multifaceted. In our study, we aimed to identify potential markers of bevacizumab efficacy to help predict which patients would experience survival benefits.</p><p><strong>Methods: </strong>This was a retrospective analysis of 114 patients examined from January 1, 2015, to March 1, 2023, and data on clinical, biological, and imaging variables, such as ascites, serum LDH, and CA125, were extracted from electronic medical records. We performed a correlation analysis and principal component analysis to investigate correlations among variables and reduce their dimensionality. Then, univariate and multivariate Cox proportional hazards regression analyses were used to identify the predictors of progression-free survival.</p><p><strong>Results: </strong>Favorable KELIM score (≥ 1, HR 0.376, 95% CI [0.202-0.700], p = 0.002), which indicated better chemosensitivity, and lower LDH levels (≤ 210 U/L, HR 38.73, 95% CI [6.108-245.6], p < 0.001) were found to be independent predictors of a treatment benefit with bevacizumab in patients with advanced ovarian cancer. Regardless of LDH level, patients with favorable KELIM scores had a higher progression-free survival (PFS) benefit (p = 0.18). Among patients with unfavorable KELIM scores, those with higher LDH levels had the lowest PFS benefit (median: 11.5 months, p = 0.0059).</p><p><strong>Conclusion: </strong>Patients with poor chemosensitivity and low LDH levels are more likely to benefit from first-line bevacizumab treatment. The combination of the two markers can be a helpful predictor of patients who are most likely to benefit from treatment and a guide for treatment decisions-making. 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引用次数: 0
摘要
目的:晚期卵巢癌患者接受贝伐单抗一线治疗的生存获益是多方面的。在我们的研究中,我们旨在确定贝伐单抗疗效的潜在标志物,以帮助预测哪些患者将获得生存益处:这是一项回顾性分析,研究对象是2015年1月1日至2023年3月1日期间接受检查的114名患者,从电子病历中提取了腹水、血清LDH和CA125等临床、生物和影像学变量数据。我们进行了相关性分析和主成分分析,以研究变量之间的相关性并降低其维度。然后,我们采用单变量和多变量考克斯比例危险回归分析来确定无进展生存期的预测因素:有利的 KELIM 评分(≥ 1,HR 0.376,95% CI [0.202-0.700],P = 0.002)表明化疗敏感性较好,LDH 水平较低(≤ 210 U/L,HR 38.73,95% CI [6.108-245.6],P 结论:化疗敏感性较差和 LDH 水平较低的患者无进展生存率较高:化疗敏感性差和 LDH 水平低的患者更有可能从贝伐单抗的一线治疗中获益。这两个指标的结合可以帮助预测最有可能从治疗中获益的患者,并为治疗决策提供指导。追溯登记:2020-MD-371,2020.10.12。
The serum LDH level and KELIM scores are potential predictors of a benefit from bevacizumab first-line therapy for patients with advanced ovarian cancer.
Objective: The survival benefit of first-line treatment with bevacizumab in advanced ovarian cancer patients are multifaceted. In our study, we aimed to identify potential markers of bevacizumab efficacy to help predict which patients would experience survival benefits.
Methods: This was a retrospective analysis of 114 patients examined from January 1, 2015, to March 1, 2023, and data on clinical, biological, and imaging variables, such as ascites, serum LDH, and CA125, were extracted from electronic medical records. We performed a correlation analysis and principal component analysis to investigate correlations among variables and reduce their dimensionality. Then, univariate and multivariate Cox proportional hazards regression analyses were used to identify the predictors of progression-free survival.
Results: Favorable KELIM score (≥ 1, HR 0.376, 95% CI [0.202-0.700], p = 0.002), which indicated better chemosensitivity, and lower LDH levels (≤ 210 U/L, HR 38.73, 95% CI [6.108-245.6], p < 0.001) were found to be independent predictors of a treatment benefit with bevacizumab in patients with advanced ovarian cancer. Regardless of LDH level, patients with favorable KELIM scores had a higher progression-free survival (PFS) benefit (p = 0.18). Among patients with unfavorable KELIM scores, those with higher LDH levels had the lowest PFS benefit (median: 11.5 months, p = 0.0059).
Conclusion: Patients with poor chemosensitivity and low LDH levels are more likely to benefit from first-line bevacizumab treatment. The combination of the two markers can be a helpful predictor of patients who are most likely to benefit from treatment and a guide for treatment decisions-making. Retrospectively registered: 2020-MD-371, 2020.10.12.
期刊介绍:
Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.