| Literature DB >> 33824478 |
Shi-Xun Lu1, Yu-Hua Huang1, Li-Li Liu1, Chris Zhiyi Zhang2, Xia Yang1, Yuan-Zhong Yang1, Chun-Kui Shao3, Jian-Ming Li4, Dan Xie1, Xuchen Zhang5, Dhanpat Jain5, Jing-Ping Yun6.
Abstract
BACKGROUND: Pathologic diagnosis of hepatocellular carcinoma (HCC) can be challenging in differentiating from benign and non-hepatocytic malignancy lesions. The aim of this study was to investigate the potential utility of α-fetoprotein (AFP) mRNA RNAscope, a sensitive and specific method, in the diagnosis of HCC.Entities:
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Year: 2021 PMID: 33824478 PMCID: PMC8184895 DOI: 10.1038/s41416-021-01363-4
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Fig. 1Workflow chart for data generation and analysis.
HCC hepatocellular carcinoma, LC liver cirrhosis, LA liver adenoma, DN dysplastic nodule, FNH focal nodular hyperplasia. #Prior treatment, including chemotherapy, radiotherapy, radiofrequency ablation, transcatheter arterial embolisation, and others. *Other solid tumours, including kidney (n = 9), urothelial (n = 9), cervical (n = 8), breast (n = 16), lung (n = 15), thyroid (n = 12), tongue (n = 9), laryngeal (n = 9), pancreatic (n = 9), colorectal (n = 18), gastric (n = 16), oesophageal (n = 13), ovarian (n = 11), and endometrial (n = 9) carcinoma. &Liver metastatic tumours, including kidney, urothelial, cervical, breast, thyroid, pancreatic, colorectal, gastric, oesophageal, ovarian, endometrial, nasopharyngeal, lung cancer, and neuroendocrine tumours.
Fig. 2Representative images for AFP RNAscope in paraffin-embedded HCC samples.
a AFP mRNA was detected by RNAscope in HCC (T) and non-tumourous tissues adjacent to HCC (N). Representative images for scores 0 (T0), 1 (T1), 2 (T2), 3 (T3), and 4 (T4) are shown. b Proportion of RNAscope score in HCC tissues in the training and validation cohorts. c The ROC curve for AFP detected by RNAscope (AUC = 0.802, p < 0.001 and AUC = 0.829, p < 0.001), ELISA (AUC = 0.861, p < 0.001 and AUC = 0.827, p < 0.001), and IHC (AUC = 0.678, p < 0.001 and AUC = 0.666, p < 0.001) for HCC vs. all other diseases including benign liver diseases and non-hepatocyte tumours in the training and validation cohorts. d The positive rates of AFP mRNA and AFP protein in HCC cases with different serum AFP levels are shown in the training and validation cohorts.
The positive proportion of factors examined in post-surgical samples.
| Training cohort | HCC ( | LC ( | FNH ( | LA ( | DN ( | ICC ( | Solid tumours ( |
|---|---|---|---|---|---|---|---|
| AFP RNAscope | 60.4% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| AFP IHC | 35.7% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| AFP ELISA | 39.2% | 1.8% | 1.8% | 0.0% | 0.0% | 0.0% | 0.0% |
| GPC3 IHC | 80.0% | 15.7% | 0.0% | 0.0% | 33.3% | 0.7% | 0.8% |
| HepPar-1 IHC | 84.1% | 83.1% | 96.5% | 93.3% | 100.0% | 2.1% | 0.0% |
| Arg-1 IHC | 61.2% | 56.6% | 61.4% | 53.3% | 100.0% | 0.7% | 0.0% |
HCC hepatocellular carcinoma, LC liver cirrhosis, FNH focal nodular hyperplasia, LA liver adenoma, DN dysplastic nodule, ICC intrahepatic cholangiocarcinoma, Solid tumours 15 types of non-HCC cancers (described in Fig. 1), Metastatic carcinoma 14 types of non-HCC cancers (described in Fig. 1), AFP ELISA AFP serum level >400 ng/ml was identified positive.
Results for measurement of different markers and panels in the diagnosis of HCC in training, validation and test cohort.
| Training cohort | Validation cohort | Test cohort | |||||||
|---|---|---|---|---|---|---|---|---|---|
| AUC (95% CI) | Sensitivity | Specificity | AUC (95% CI) | Sensitivity | Specificity | AUC (95% CI) | Sensitivity | Specificity | |
| AFP RNAscope | 0.802 (0.779–0.825) | 0.604 | 1.000 | 0.829 (0.799–0.860) | 0.665 | 0.994 | 0.725 (0.656–0.794) | 0.450 | 1.000 |
| AFP IHC | 0.678 (0.650–0.707) | 0.357 | 1.000 | 0.666 (0.624–0.708) | 0.338 | 0.994 | 0.634 (0.560–0.707) | 0.280 | 0.987 |
| GPC3 IHC | 0.872 (0.852–0.892) | 0.800 | 0.944 | 0.795 (0.759–0.831) | 0.656 | 0.933 | 0.778 (0.716–0.841) | 0.660 | 0.897 |
| Panel 1 | 0.903 (0.885–0.922) | 0.863 | 0.944 | 0.881 (0.851–0.911) | 0.834 | 0.963 | 0.868 (0.818–0.919) | 0.840 | 0.897 |
| AFP RNAscope | 0.802 (0.777–0.827) | 0.604 | 1.000 | 0.822 (0.778–0.865) | 0.665 | 0.979 | 0.725 (0.649–0.801) | 0.450 | 1.000 |
| AFP IHC | 0.678 (0.647–0.710) | 0.357 | 1.000 | 0.658 (0.593–0.723) | 0.338 | 0.979 | 0.624 (0.539–0.709) | 0.280 | 0.968 |
| GPC3 IHC | 0.851 (0.825–0.877) | 0.800 | 0.901 | 0.732 (0.662–0.803) | 0.656 | 0.809 | 0.798 (0.729–0.867) | 0.660 | 0.935 |
| Panel 1 | 0.905 (0.613–0.923) | 0.863 | 0.961 | 0.811 (0.740–0.881) | 0.834 | 0.787 | 0.888 (0.832–0.943) | 0.840 | 0.935 |
| AFP RNAscope | 0.803 (0.778–0.827) | 0.604 | 1.000 | 0.832 (0.801–0.863) | 0.665 | 1.000 | 0.725 (0.653–0.797) | 0.450 | 1.000 |
| AFP IHC | 0.679 (0.611–0.746) | 0.357 | 1.000 | 0.669 (0.623–0.714) | 0.338 | 1.000 | 0.640 (0.562–0.718) | 0.280 | 1.000 |
| GPC3 IHC | 0.897 (0.879–0.915) | 0.800 | 0.993 | 0.828 (0.796–0.860) | 0.656 | 1.000 | 0.765 (0.697–0.834) | 0.660 | 0.871 |
| HepPar-1 IHC | 0.901 (0.882–0.921) | 0.841 | 0.961 | 0.851 (0.820–0.883) | 0.727 | 0.975 | 0.889 (0.838–0.940) | 0.810 | 0.968 |
| Arg-1 IHC | 0.791 (0.765–0.817) | 0.612 | 0.971 | 0.843 (0.812–0.874) | 0.694 | 0.992 | 0.805 (0.741–0.869) | 0.610 | 1.000 |
| Panel 2 | 0.971 (0.957–0.985) | 0.984 | 0.958 | 0.977 (0.960–0.995) | 0.979 | 0.975 | 0.915 (0.870–0.961) | 0.960 | 0.871 |
AUC area under curve, 95% CI 95% confident interval, AFP alpha-fetoprotein, IHC immunohistochemistry.
Fig. 3Diagnostic performance of AFP mRNA for in situ detection in the diagnosis of HCC.
ROC curve analyses of AFP RNAscope, GPC3, HepPar-1, and Arg-1 and also for panel 1 (any positive of AFP RNAscope +GPC3 IHC) and panel 2 (any positive of AFP RNAscope, GPC3, HepPar-1 and Arg-1) in the diagnosis of HCC. We assessed HCC vs. non-HCC diseases, liver benign diseases, and non-hepatocytic tumours in the training cohort (a–c), validation cohort (d–f), and test cohort (g–i).
Degree of diagnostic accuracy in HCC vs. non-hepatocytic malignancy (NHM) nodules and non-malignant (NM) nodules in liver biopsy (test cohort).
| HCC vs. NM | HCC ( | NM ( | Sensitivity | Specificity | PPV | NPV | Accuracy |
|---|---|---|---|---|---|---|---|
| Both positive | 26 | 0 | 26.0% | 100% | 100% | 45.6% | 54.3% |
| At least one positive | 84 | 4 | 84.0% | 93.5% | 95.5% | 78.4% | 87.7% |
| AFP RNAscope | 45 | 0 | 45.0% | 100% | 100% | 53.0% | 66.0% |
| GPC3 IHC | 66 | 4 | 66.0% | 93.5% | 94.3% | 63.0% | 76.5% |
HCC hepatocellular carcinoma, PPV positive predictive value, NNP negative predictive value.