Patient-derived primary culture-based prognostic model to predict tumor recurrence in patients with glioma

Syed Sultan Beevi , Manas Kumar Panigrahi , Vinod Kumar Verma , Jyotsana Dwivedi , Sailaja Madigubba , Radhika Chowdary Darapuneni , Seema M. Gafurjiwala , Sambit Sahu , Bhaskar Rao Bollineni
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Abstract

Background

The prognosis for glioma patients remains grim despite aggressive treatment approaches. Current molecular profiles have limitations in predicting glioma recurrence, highlighting the need for new and improved prognostic biomarkers. We investigated whether the growth kinetics of patient-derived glioma cultures (PDGCs) can offer valuable prognostic insights to predict tumor recurrence. Additionally, we examined the expression of glial-mesenchymal transition (GMT) markers in PDGCs to assess their potential as additional prognostic biomarkers.

Methods

130 patients diagnosed with primary glioma via MRI scans were prospectively enrolled. Surgical tumor tissues were collected from all participants and used to establish patient-derived glioma cultures (PDGCs). The growth kinetics and colony-forming ability of the respective PDGCs were calculated to derive proliferation index (PI) for each patient. Progression-free survival (PFS) and overall survival (OS) served as the primary outcome measures.

Results

We established short-term glioma cultures in 98 clinical samples, regardless of the CNS WHO tumor grade, IDH1/2 mutation and 19/19q codeletion status and maintained active cell proliferation for at least 10–12 passages. However, we observed two distinct growth kinetic patterns among PDGCs. Based on their proliferation index (PI), we categorized patients into either high proliferation index (HPI) or low proliferation index (LPI) group. Furthermore, we noted a differential expression profile of GMT markers between HPI and LPI patients. The proliferation index (PI) exhibited a significant correlation with progression-free survival (PFS), while the expression of GMT marker vimentin was associated with overall survival (OS).

Conclusion

The PDGC-derived Proliferation Index (PI) can serve as a predictive tool for tumor recurrence, independent of clinical or tumor-related factors. Moreover, reduced vimentin expression is a positive indicator for glioma patients' overall survival status.

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预测胶质瘤患者肿瘤复发的基于患者原代培养的预后模型
背景尽管采取了积极的治疗方法,但胶质瘤患者的预后仍然不容乐观。目前的分子图谱在预测胶质瘤复发方面存在局限性,这凸显了对新的、更好的预后生物标志物的需求。我们研究了患者衍生胶质瘤培养物(PDGCs)的生长动力学能否为预测肿瘤复发提供有价值的预后见解。此外,我们还研究了胶质-间质转化(GMT)标记物在 PDGCs 中的表达,以评估它们作为额外预后生物标记物的潜力。收集了所有参与者的手术肿瘤组织,并用于建立患者衍生胶质瘤培养物(PDGCs)。通过计算各PDGCs的生长动力学和集落形成能力,得出每位患者的增殖指数(PI)。结果我们在98份临床样本中建立了短期胶质瘤培养物,无论中枢神经系统WHO肿瘤分级、IDH1/2突变和19/19q编码缺失状态如何,这些培养物都能保持活跃的细胞增殖至少10-12次。然而,我们观察到 PDGCs 有两种不同的生长动力学模式。根据增殖指数(PI),我们将患者分为高增殖指数组(HPI)和低增殖指数组(LPI)。此外,我们还注意到高增殖指数组和低增殖指数组患者的 GMT 标志物表达谱存在差异。增殖指数(PI)与无进展生存期(PFS)呈显著相关性,而 GMT 标志物波形蛋白的表达与总生存期(OS)相关。此外,波形蛋白表达的减少是胶质瘤患者总生存状况的一个积极指标。
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Advances in biomarker sciences and technology
Advances in biomarker sciences and technology Biotechnology, Clinical Biochemistry, Molecular Medicine, Public Health and Health Policy
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20 weeks
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