Nomograms based on clinicopathological factors and inflammatory indicators for prediction of early and late recurrence of hepatocellular carcinoma after surgical resection for patients with chronic hepatitis B

Dai, Tianxing; Deng, Mingbin; Ye, Linsen; Lin, Guozhen; Liu, Rongqiang; Deng, Yihui; Li, Rong; Liu, Wei; Li, Hua; Yang, Yang; Chen, Guihua; Wang, Guoying

doi:10.21037/atm-20-1353

Cited by 7 publications

(3 citation statements)

References 37 publications

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“…The satellite nodule was an independent risk factor for recurrence within 1 year following surgery (31). Studies have shown that the tumor number correlated with the recurrence of huge HCC (32,33). Xia et al (34) also reported that age was an independent risk factor for HCC early recurrence within 1 year of curative hepatectomy.…”

Section: Discussionmentioning

confidence: 98%

Development of preoperative and postoperative machine learning models to predict the recurrence of huge hepatocellular carcinoma following surgical resection

et al. 2023

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Resection has been commonly utilized for treating huge hepatocellular carcinoma (HCC) with a diameter of ≥10 cm; however, a high rate of mortality is reported due to recurrence. The present study was designed to predict the recurrence following resection based on preoperative and postoperative machine learning models. In total, 1,082 patients with HCC who underwent liver resection in the Eastern Hepatobiliary Surgery Hospital cohort between January 2008 and December 2016 were divided into a training cohort and an internal validation cohort. In addition, 164 patients from Mengchao Hepatobiliary Hospital cohort between January 2014 and December 2016 served as an external validation cohort. The demographic information, and serological, MRI, and pathological data were obtained from each patient prior to and following surgery, followed by evaluating the model performance using the concordance index, time-dependent receiver operating characteristic curves, prediction error cures, and a calibration curve. A preoperative random survival forest (RSF) model and a postoperative RSF model were constructed based on the training set, which outperformed the conventional models, such as the Barcelona Clinic Liver Cancer (BCLC), the 8th edition of the American Joint Committee on Cancer (AJCC 8th) staging systems, and the Chinese stage systems. In addition, the preoperative and postoperative RSF models could also re-stratify patients with BCLC stage A/B/C or AJCC 8th stage IB/II/ⅢA/ⅢB or Chinese stage IB/IIA/ⅡB/ⅢA into low-risk, intermediate-risk, and high-risk groups in the training and the two validation cohorts. The preoperative and postoperative RSF models were effective for predicting recurrence in patients with huge HCC following hepatectomy.

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Section: Discussionmentioning

confidence: 98%

Development of preoperative and postoperative machine learning models to predict the recurrence of huge hepatocellular carcinoma following surgical resection

et al. 2023

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“…It has been revealed that global enhancer hypomethylation occurs in human HCCs, 39 which may attenuate the inhibiting effect of MBD2 on functional oncogenes. Systemic inflammation is an important indicator for unfavorable postoperative prognosis in HCC 40 . MBD2 mediates epigenetic transcriptional silencing by binding to methylated DNA, thus playing an important role in preventing tumor‐promoting inflammation 41 .…”

Section: Discussionmentioning

confidence: 99%

circKCNN2 suppresses the recurrence of hepatocellular carcinoma at least partially via regulating miR‐520c‐3p/methyl‐DNA‐binding domain protein 2 axis

Liu

Chen

et al. 2022

Clinical & Translational Med

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Background Recurrence is the major cause of hepatocellular carcinoma (HCC) death. We aimed to identify circular RNA (circRNA) with predictive and therapeutic value for recurrent HCC. Methods Tissue samples from recurrent and non‐recurrent HCC patients were subjected to circRNA sequencing and transcriptome sequencing. circKCNN2 was identified through multi‐omics analyses. The effects of circKCNN2 on HCC were evaluated in cells, animals, database of The Cancer Genome Atlas, and a cohort with 130 HCC patients. circRNA precipitation, chromatin immunoprecipitation assay, RNA pull‐down, luciferase assay, and cell experiments were applied to evaluate the interaction of circKCNN2 with miRNAs and proteins. The association between circKCNN2 and the therapeutic effect of lenvatinib was investigated in HCC cell lines and HCC tissue‐derived organoids. Results The expression of circKCNN2 was downregulated in HCC tissues and predicted a favorable overall survival and recurrence‐free survival. The expression of circKCNN2 was positively correlated with the parental gene, potassium calcium‐activated channel subfamily N member (KCNN2). Nuclear transcription factor Y subunit alpha (NFYA) was proven to inhibit the promoter activity of KCNN2, downregulate the expression of KCNN2 and circKCNN2, and predict an unfavorable recurrence‐free survival. Ectopic expression of circKCNN2 inhibited HCC cell proliferation, colony formation, migration, and tumor formation in a mouse model. miR‐520c‐3p sponged by circKCNN2 could reverse the inhibitory effect of circKCNN2 on HCC cells and down‐regulate the expression of methyl‐DNA‐binding domain protein 2 (MBD2). The intratumoral expression of MBD2 predicted a favorable recurrence‐free survival. circKCNN2 down‐regulated the expression of fibroblast growth factor receptor 4 (FGFR4), which can be reversed by miR‐520c‐3p and knockdown of MBD2. Lenvatinib inhibited the expression of FGFR4 and upregulated the expression of circKCNN2 and MBD2. Ectopic expression of circKCNN2 in HCC cells enhanced the therapeutic effect of lenvatinib. However, the high inherent level of circKCNN2 in HCC cells was associated with lenvatinib resistance. Conclusions circKCNN2, transcriptionally repressed by NFYA, suppresses HCC recurrence via the miR‐520c‐3p/MBD2 axis. Inherent level of circKCNN2 in HCC cells predisposes anti‐tumor effect of lenvatinib possibly because both circKCNN2 and lenvatinib repress the expression of FGFR4. circKCNN2 may be a promising predictive biomarker and therapeutic agent for HCC recurrence.

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“…We read with great interest the recent research by Dai et al ( 1 ) entitled “ Nomograms based on clinicopathological factors and inflammatory indicators for prediction of early and late recurrence of hepatocellular carcinoma after surgical resection for patients with chronic hepatitis B ”.…”

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confidence: 99%

What clinicopathological factors affect the recurrence of hepatocellular carcinoma after surgery?

Deng¹,

Li²,

Wei³

et al. 2022

Ann Transl Med

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We read with great interest the recent research by Dai et al. (1) entitled "Nomograms based on clinicopathological factors and inflammatory indicators for prediction of early and late recurrence of hepatocellular carcinoma after surgical resection for patients with chronic hepatitis B".This study generated nomograms that integrated clinicopathological features and inflammation-related factors to predict recurrence in hepatocellular carcinoma (HCC) patients with hepatitis-B virus infection background after liver resection. HCC is the fourth most common malignancy and the most common primary liver cancer, with high mortality (2). Radical hepatectomy is regarded as the most effective treatment to receive long-term survival for HCC patients. However, a high rate of postoperative tumor recurrence is a major challenge to the survival of patients (3). Therefore, the detection of patients with a high-risk probability of recurrence and the development of postoperative treatment plans after surgery are of great significance. Nomogram, which is easy to use, can provide personal and highly accurate risk assessment of predictive models and guide clinical treatment decisions.We would like to raise a few questions to the authors of this study. Firstly, the enrolled participants included Barcelona Clinic Liver Cancer (BCLC) stage 0, A, B, and C HCC patients, with stage B and stage C patients exceeding 50% of the whole cohort. According to the BCLC treatment strategy, interventional therapy is recommended for patients with BCLC stage B, whereas systemic treatment is recommended for patients with BCLC stage C (4). The prognosis of patients undergoing hepatectomy atLetter to the Editor

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Nomograms based on clinicopathological factors and inflammatory indicators for prediction of early and late recurrence of hepatocellular carcinoma after surgical resection for patients with chronic hepatitis B

Cited by 7 publications

References 37 publications

Development of preoperative and postoperative machine learning models to predict the recurrence of huge hepatocellular carcinoma following surgical resection

Development of preoperative and postoperative machine learning models to predict the recurrence of huge hepatocellular carcinoma following surgical resection

circKCNN2 suppresses the recurrence of hepatocellular carcinoma at least partially via regulating miR‐520c‐3p/methyl‐DNA‐binding domain protein 2 axis

What clinicopathological factors affect the recurrence of hepatocellular carcinoma after surgery?

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