Potential of using qFibrosis analysis to predict recurrent and survival outcome of patients with hepatocellular carcinoma after hepatic resection.

IF 2.5 3区医学 Q3 ONCOLOGY Oncology Pub Date : 2024-03-25 DOI:10.1159/000538456

Chih-Yang Hsiao, Yayun Ren, Elaine Chng, Dean Tai, Kai-Wen Huang

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Abstract

Background: There remains a lack of studies addressing the stromal background and fibrosis features and its prognostic value in liver cancer. qFibrosis can identify, quantify and visualize the fibrosis features from biopsy samples. In this study, we aim to demonstrate the prognostic value of histological features by using qFibrosis analysis in liver cancer patients.

Methods: Liver specimen from 201 patients with hepatocellular carcinoma underwent curative resection were imaged and assessed using qFibrosis system, and generated a total of 33 and 156 collagen parameters from tumor part and non-tumor liver tissue, respectively. We used these collagen parameters on patients to build two combined indexes, RFS-index and OS-index, in order to differentiate patients with early recurrence and early death, respectively. The models were validated using leave-one-out method.

Results: Both combined indexes had significant prediction value of patients' outcome. The RFS-index of 0.52 well differentiates patients with early recurrence (p < 0.001), and the OS-index of 0.73 well differentiates patients with early death during follow-up (p = 0.02).

Conclusions: Combined index calculated with qFibrosis from digital readout of fibrotic status of peri-tumor liver specimen in patients with HCC have prediction values for their disease and survival outcomes. These results demonstrated the potentials to transform histopathological features into quantifiable data that could be used to correlate with clinical outcome.

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利用 qFibrosis 分析预测肝细胞癌患者肝切除术后复发和生存结果的潜力。

背景：qFibrosis可以从活检样本中识别、量化和可视化纤维化特征。本研究旨在通过对肝癌患者进行qFibrosis分析，证明组织学特征的预后价值：方法：使用 qFibrosis 系统对 201 名接受根治性切除术的肝细胞癌患者的肝脏标本进行成像和评估，并从肿瘤部分和非肿瘤肝组织中分别生成了 33 和 156 个胶原蛋白参数。我们利用患者的这些胶原蛋白参数建立了两个综合指数，即 RFS 指数和 OS 指数，以分别区分早期复发和早期死亡患者。结果显示，这两个综合指数对早期复发和早期死亡患者有显著的预测作用：结果：两个综合指数对患者的预后都有显著的预测价值。RFS指数为0.52，能很好地区分早期复发患者（p < 0.001），OS指数为0.73，能很好地区分随访期间早期死亡患者（p = 0.02）：结论：根据对HCC患者肝脏标本周围纤维化状态的数字读数计算出的qFibrosis综合指数对患者的病情和生存结果具有预测价值。这些结果证明了将组织病理学特征转化为可量化数据的潜力，这些数据可用来与临床结果相关联。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Oncology 医学-肿瘤学

CiteScore

6.00

自引率

2.90%

发文量

审稿时长

6-12 weeks

期刊介绍： Although laboratory and clinical cancer research need to be closely linked, observations at the basic level often remain removed from medical applications. This journal works to accelerate the translation of experimental results into the clinic, and back again into the laboratory for further investigation. The fundamental purpose of this effort is to advance clinically-relevant knowledge of cancer, and improve the outcome of prevention, diagnosis and treatment of malignant disease. The journal publishes significant clinical studies from cancer programs around the world, along with important translational laboratory findings, mini-reviews (invited and submitted) and in-depth discussions of evolving and controversial topics in the oncology arena. A unique feature of the journal is a new section which focuses on rapid peer-review and subsequent publication of short reports of phase 1 and phase 2 clinical cancer trials, with a goal of insuring that high-quality clinical cancer research quickly enters the public domain, regardless of the trial’s ultimate conclusions regarding efficacy or toxicity.