Liver Three-Dimensional Reconstruction Accurately Predicts Remnant Liver Volume for HBV-Related Hepatocellular Carcinoma Prior to Hepatectomy

Comprehensive Analyses of the Infiltrating Immune Cell Landscape and Its Clinical Significance in Hepatocellular Carcinoma

Background

Immunotherapy has gradually played a significant role in treating cancer over the past 10 years. Meanwhile, significant connections have been found between infiltrating immune cells and prognosis, as well as the development of immunotherapy in hepatocellular carcinoma (HCC). Thus, analyses of the immune cell landscape are urgently needed for the future development of immunotherapy in HCC.

Methods

Expression data of HCC and normal liver tissue were searched and downloaded from The Cancer Genome Atlas. The fraction of various immune cells was estimated by CIBERSORT, which is a computational analysis tool. Comparisons of the fractions of 22 types of immune cells were performed between HCC and normal tissues, as well as survival analyses and clinical significance. xCell was used to validate the results.

Results

The fractions of 12 types of immune cells, including follicular helper T (Tfh) cells, monocytes, M0, and M2 macrophages, were significantly different between tissues. In survival analyses, higher fractions of Tfh cells (P=0.037), M0 (P=0.001), and M2 macrophages (P=0.045) were associated with a poorer prognosis, and monocytes with a better prognosis (P=0.040). Furthermore, a higher fraction of M0 macrophages (P=0.001), lower fraction of monocytes (P=0.031), and M2 macrophages (P=0.018) were found as risk factors of a poorer histological grade of HCC. Only M0 macrophages showed a significant association with the clinical stage of HCC. Meanwhile, xCell showed monocytes and M2 macrophages significantly reduced in tumor tissues, which validated the results.

Conclusion

Tfh cells, monocytes, M0 and M2 macrophages may play an indicator role in carcinogenesis, progression, and clinical outcomes of HCC. Our research can serve as a reference contributing to future immunotherapy strategies of HCC.

Perineural invasion as a prognostic factor for intrahepatic cholangiocarcinoma after curative resection and a potential indication for postoperative chemotherapy: a retrospective cohort study

Background

In the past four decades, the incidence of cholangiocarcinoma, especially intrahepatic cholangiocarcinoma (ICC), has raised rapidly worldwide. Completeness of resection, max size of tumor and etc. are widely recognized as prognostic factors. However, the prognosis significance of perineural invasion (PNI) on recurrence-free survival (RFS) and overall survival (OS) in ICC patients is controversial.

Methods

ICC patients who underwent curative hepatectomy and diagnosed pathologically were retrospectively analyzed. Patients were grouped by existence of PNI and outcomes were compared between groups. The potential relationship between PNI and postoperative chemotherapy was also investigated.

Results

There was no significant difference in demographic, clinical staging or tumor index between two groups, except positive hepatitis B surface antigen and CA19–9. PNI negative group showed a better prognosis in RFS (P < 0.0001) and OS (P < 0.0001). COX regression analyses showed PNI as an independent risk factor in RFS and OS. ICC with postoperative chemotherapy showed better effects in the whole cohort on both RFS (P = 0.0023) and OS (P = 0.0011). In PNI negative group, postoperative chemotherapy also showed significant benefits on RFS and OS, however not in PNI positive group (P = 0.4920 in RFS and P = 0.8004 in OS).

Conclusion

PNI was an independent risk factor in R0-resected ICC, presenting worse recurrence and survival outcomes. Meanwhile, negative PNI may act as an indication of postoperative chemotherapy.

Identification of potential prognostic long non-coding RNA for predicting survival in intrahepatic cholangiocarcinoma

Intrahepatic cholangiocarcinoma (ICC) is an aggressive biliary epithelial tumor with poor prognosis. There are increasing evidences that long non-coding RNAs (lncRNAs) are dysregulated in multifarious tumors, revealing potential significant role of lncRNAs in tumorigenesis.We used the ICC dataset retrieved from The Cancer Genome Atlas and the Gene Expression Omnibus database to obtain the lncRNAs expression profiles and identify potential prognostic lncRNAs for predicting the prognosis in ICC. Univariate and multivariate Cox regression analyses were performed to construct a prognostic index (PI). Furthermore, coexpression analysis and functional assessment were performed to initially investigate the function of these prognostic lncRNAs.A total of 255 differentially expressed lncRNAs (DElncRNAs) were identified among two RNA sequencing dataset of a total 63 ICC patients with 98 samples using R platform. Thirteen of 255 DElncRNAs were identified as prognostic lncRNAs and used for a PI. Patients with high PI were associated with poor prognostic (P = .0064), and the Cox regression showed consistent result (P = .042). The time-dependent receiver operating characteristic analysis showed the PI performed well in ICC survival prediction with an area under curve of 0.921, 0.801, and 0.717 for 1-, 3-, and 5-year survival, respectively.In conclusion, we included 13 identified prognostic DElncRNAs and constructed a prognostic signature/PI. ICC patient with higher PI was associated with poorer prognosis. However, the clinical role as well as biological functions of constructed PI and these prognostic DElncRNAs need to be verified in future study.