Commentary on: Nomograms based on inflammatory biomarkers for predicting tumor grade and microvascular invasion in stage I/II hepatocellular carcinoma

被引:1
|
作者
Xiao, Liang [1 ]
Zeng, Furong [2 ]
Deng, Guangtong [1 ]
机构
[1] Cent S Univ, Xiangya Hosp, Gen Surg Dept, Changsha, Hunan, Peoples R China
[2] Cent S Univ, Xiangya Hosp, Changsha, Hunan, Peoples R China
关键词
RESECTION; NEUTROPHIL; SURVIVAL; CANCER;
D O I
10.1042/BSR20190683
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Some doubts were generated during the reading of nomograms based on inflammatory biomarkers for preoperatively predicting tumor grade and microvascular invasion in stage I/II hepatocellular carcinoma (HCC). We would like to highlight and discuss with authors. First, neutrophil-lymphocyte ratio (NLR) and derived NLR (dNLR) should not be entered into multivariate analysis simultaneously. Second, authors should clarify how the cutoffs of these variables including lymphocyte-monocyte ratio (LMR), dNLR, age and tumor size were set. We insist that the type of variables should be consistent when we carry out the analysis and establish the nomogram. Last, we have to point out that Li et al.'s (Biosci. Rep. (2018), 38) study failed to validate nomograms using an independent dataset.
引用
收藏
页数:2
相关论文
共 50 条
  • [41] Machine learning methods for accurately predicting survival and guiding treatment in stage I and II hepatocellular carcinoma
    Li, Xianguo
    Bao, Haijun
    Shi, Yongping
    Zhu, Wenzhong
    Peng, Zuojie
    Yan, Lizhao
    Chen, Jinhuang
    Shu, Xiaogang
    MEDICINE, 2023, 102 (45) : E35892
  • [42] Preoperative Gadoxetic Acid-Enhanced MRI Features for Evaluation of Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma: Creating Nomograms for Risk Assessment
    Qu, Qi
    Liu, Zixin
    Lu, Mengtian
    Xu, Lei
    Zhang, Jiyun
    Liu, Maotong
    Jiang, Jifeng
    Gu, Chunyan
    Ma, Qinrong
    Huang, Aina
    Zhang, Xueqin
    Zhang, Tao
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 60 (03) : 1094 - 1110
  • [43] Quantitative Ultrasound Image Analysis Helps in the Differentiation of Hepatocellular Carcinoma (HCC) From Borderline Lesions and Predicting the Histologic Grade ofHCCand Microvascular Invasion
    Matsumoto, Naoki
    Ogawa, Masahiro
    Kaneko, Masahiro
    Kumagawa, Mariko
    Watanabe, Yukinobu
    Hirayama, Midori
    Nakagawara, Hiroshi
    Masuzaki, Ryota
    Kanda, Tatsuo
    Moriyama, Mitsuhiko
    Takayama, Tadatoshi
    Sugitani, Masahiko
    JOURNAL OF ULTRASOUND IN MEDICINE, 2021, 40 (04) : 689 - 698
  • [44] Editorial for "Preoperative Gadoxetic Acid-Enhanced MRI Features for Evaluation of Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma: Creating Nomograms for Risk Assessment"
    Mule, Sebastien
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 60 (03) : 1111 - 1112
  • [45] A commentary on "A new prognostic model predicting hepatocellular carcinoma early recurrence in patients with microvascular invasion who received postoperative adjuvant transcatheter arterial chemoembolization"
    Yang, Shiye
    Xia, Chunqiu
    EJSO, 2023, 49 (09):
  • [46] Application of texture signatures based on multiparameter-magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma: Retrospective study
    Nong, Hai-Yang
    Cen, Yong-Yi
    Qin, Mi
    Qin, Wen-Qi
    Xie, You-Xiang
    Li, Lin
    Liu, Man-Rong
    Ding, Ke
    WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2024, 16 (04) : 1309 - 1318
  • [47] MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma
    Zeng, Yuli
    Wu, Huiqin
    Zhu, Yanqiu
    Li, Chao
    Du, Dongyang
    Song, Yang
    Su, Sulian
    Qin, Jie
    Jiang, Guihua
    FRONTIERS IN ONCOLOGY, 2025, 15
  • [48] Radiomics-Based Prediction of Microvascular Invasion Grade in Nodular Hepatocellular Carcinoma Using Contrast-Enhanced Magnetic Resonance Imaging
    Zhang, Zhao
    Jia, Xiu-Fen
    Chen, Xiao-Yu
    Chen, Yong-Hua
    Pan, Ke-Hua
    JOURNAL OF HEPATOCELLULAR CARCINOMA, 2024, 11 : 1185 - 1192
  • [49] Development and Comparison of Prediction Models Based on Sonovue- and Sonazoid-Enhanced Ultrasound for Pathologic Grade and Microvascular Invasion in Hepatocellular Carcinoma
    Zhang, Rui
    Li, Di
    Chen, Yanlin
    Xu, Wenxin
    Zhou, Wenwen
    Lin, Manxia
    Xie, Xiaoyan
    Xu, Ming
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2024, 50 (03): : 414 - 424
  • [50] A new model based on preoperative AFP, albumin, and tumor burden score for predicting microvascular invasion in early-stage HCC
    Chang, Yuan-Sheng
    Tsai, Mu-Jung
    Tsai, Chieh-Jui
    Wang, Chih-Chi
    Lin, Chih-Che
    Yen, Yi-Hao
    Hung, Chao-Hung
    Kuo, Yuan-Hung
    Huang, Ding-Sen
    Tai, Wei-Chen
    Hu, Tsung-Hui
    Tsai, Ming-Chao
    AMERICAN JOURNAL OF CANCER RESEARCH, 2024, 14 (10): : 4979 - 4988