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A standardized pathological proposal for evaluating microvascular invasion of hepatocellular carcinoma: a multicenter study by LCPGC

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Abstract

Background and aims

Microvascular invasion (MVI) is a key pathological factor that severely affects the postoperative prognosis of patients with hepatocellular carcinoma (HCC). However, no MVI classification schemes based on standardized gross sampling protocols of HCC are available at present.

Methods

119 HCC specimens were sampled at multiple sites (3-, 7-, and 13 points) for the optimum MVI detection rate. 16,144 resected HCCs were graded as M0, M1 or M2 by adopting three-tiered MVI grading (MVI-TTG) scheme based on the seven-point sampling protocol (SPSP). Survival analyses were performed on 2573 patients to explore the advantages of MVI-TTG.

Results

The MVI detection rate determined by SPSP was significantly higher than that determined by the 3-point sampling method (34.5% vs. 47.1%, p = 0.048), but was similar to that determined by the 13-point sampling method (47.1% vs. 51.3%, p = 0.517). Among 16,144 resected HCCs, the proportions of M0, M1 and M2 specimens according to SPSP were 53.4%, 26.2% and 20.4%, respectively. Postoperative survival analysis in 2573 HCC patients showed that the 3-year recurrence rates in M0, M1 and M2 MVI groups were 62.5%, 71.6% and 86.1%, respectively (p < 0.001), and the corresponding 3-year overall survival (OS) rates were 94.1%, 87.5% and 67.0%, respectively (p < 0.001). M1 grade was associated with early recurrence, while M2 grade was associated with both early and late recurrence. MVI-TTG had a larger area under the curve and net benefit rate than the two-tiered MVI grading scheme for predicting time to recurrence and OS.

Conclusions

SPSP is a practical method to balance the efficacy of sampling numbers and MVI detection rates. MVI-TTG based on SPSP is a better prognostic predictor than the two-tiered MVI scheme. The combined use of SPSP and MVI-TTG is recommended for the routine pathological diagnosis of HCC.

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Acknowledgements

We would like to thank Prof. Han-Lin Wang (Department of Pathology and Laboratory Medicine, University of California at Los Angeles, USA) and Assoc Prof. Xu-Chen Zhang (Department of Pathology, Yale University School of Medicine, USA) for their constructive comments on this article.

Funding

This work is supported by National Natural Science Foundation of China (Grant No. 81472278), Funds for Creative Research Groups of National Natural Science Foundation of China (Grant No. 81521091), and National Key R&D Program of China (Grant No. 2016YFC0902400).

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Contributions

Concept and design: W-MC, XD, S-PL. Administrative support: W-MC, XD, S-PL. Data collection and acquisition: XS, YJ, G-PR, C-LL, J-PY, L-HC, BM, L-JQ, G-JD, QS, X-QY, S-SL, JY, BL, Z-BW, J-HZ, YS, X-SQ, LW, Z-SL, JC, C-YX, SH, C-YL, E-WX, J-SG, CP, DK, RQ, H-WG, Z-DW, QZ, HW. Data analysis: L-XL, XZ, HW, BW, W-JZ. Writing of article: XS, YJ, HW, W-MC. Final approval of manuscript: all authors

Corresponding authors

Correspondence to Shao-Ping Ling, Xiang Du or Wen-Ming Cong.

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Conflict of interest

There are no conflicts of interest from financial, consulting, institutional or other relationships regarding this manuscript. This study was conducted in accordance with the Declaration of Helsinki and was approved by the Clinical Research Ethics Committees of all participating medical centers. Informed consent was obtained from all patients for their data to be used for research. The patients did not receive financial compensation

Ethical approval

TThis study was conducted in accordance with the Declaration of Helsinki and was approved by the Clinical Research Ethics Committees of all participating medical centers.

Informed consent

Informed consent was obtained from all patients for their data to be used for research. The patients did not receive financial compensation.

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Supplementary Figure 1. Flow chart of the clinicopathological information extraction process. (PDF 131 KB)

12072_2020_10111_MOESM2_ESM.pdf

Supplementary Figure 2. Changes in the detection rate of MVI in HCC tissues before and after using SPSP in the LCPGC. (PDF 7 KB)

Supplementary file3 (DOCX 51 KB)

Supplementary file4 (DOCX 65 KB)

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Sheng, X., Ji, Y., Ren, GP. et al. A standardized pathological proposal for evaluating microvascular invasion of hepatocellular carcinoma: a multicenter study by LCPGC. Hepatol Int 14, 1034–1047 (2020). https://doi.org/10.1007/s12072-020-10111-4

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