Investigating T-cell immunoglobulin and mucin-domain containing-3 (TIM-3), Galectin 9 (Gal-9), CD160 expression and tumor-infiltrating lymphocytes (TILs) and correlation with clinicopathological characteristics of salivary adenoid cystic carcinoma (SACC).
Sixty cases of SACC were detected by immunohistochemical staining to evaluate TIM-3, Gal-9, and CD160 expression and analyze the correlation between TIM-3, Gal-9, CD160 expression and clinicopathologic features by rank-sum test. The association of TILs with TIM-3, Gal-9, and CD160 expression in SACC stromal was done by Chi-square test.
TIM-3 and CD160 overexpression were correlated with recurrence of SACC (p = 0.029, p = 0.007, respectively). High Gal-9 expression was correlated with pathological classification (p = 0.018). The average percentage of TILs was 18.2% in SACC and most of TILs were more likely to occur in minor salivary glands (p = 0.038). Pairwise positive correlations were observed between the expression of TIM-3, Gal-9, and CD160 in tumor cells as well as in TILs, respectively.
Low density of TILs was characteristic of the SACC microenvironment, with upregulation of TIM-3, Gal-9, and CD160 all occurring. However, TIM-3, Gal-9, and CD160 expression in the stromal dependent on the number of TILs represent potential therapeutic targets in SACC.

Previous studies reported the association between Epstein-Barr virus (EBV) and cervical squamous cell carcinoma (CSCC), but its infection pattern and clinical significance unclear. This study aimed to comprehensively investigate the infection pattern, clinicopathology, outcomes, and immunology of this entity in central China. We evaluated a total of 104 untreated CSCC tumor tissue specimens using in situ hybridization for EBV-encoded small RNAs (EBERs), and by employing flowcytometry fluorescence hybridization for human papillomavirus (HPV) genotyping. The expression of EBV latency proteins and immune biomarkers was evaluated and quantified by immunohistochemistry. EBERs transcripts were detected in 21 (20.2%) cases overall (in malignant epithelial cells of 13 cases and in lymphocytes of 8 cases). EBV belonged to latency type I infection in CSCC. The high-risk (HR)-HPV was detected in all of EBV-positive CSCC, and the difference of detection rate of HR-HPV was significant when compared with EBV-negative CSCC (p = 0.001). The specific clinicopathology with increased frequency of advanced clinical stages, tumor-positive lymph nodes, neural invasion, and increased infiltration depth (all p value < 0.05) were observed in cases with EBV. However, EBV infection was found to have no impact on prognosis of patients with CSCC. Increased densities of forkhead box P3 (FoxP3)+-tumor infiltrating lymphocytes (TILs) (p = 0.005) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4)+-TILs (p = 0.017) and higher expression of programmed cell death-1 (PD-1) (p = 0.002) and programmed cell death-1 ligand 1 (PD-L1) (p = 0.040) were associated with EBV latent infection in CSCC, and these immunological changes were more likely to be associated with the infection in lymphocytes rather than tumor cells. Moreover, in patients with HPV-positive CSCC, similar significant differences were still found. In conclusions, EBV-positive CSCC may have specific infection pattern and clinicopathology and can exhibit an immunosuppressive microenvironment dominated by Treg cells aggregation and immune checkpoint activation.

COVID-19 is leading to a global pandemic and invades human cells via ACE2. ACE2 was found to be abundantly expressed in many organs and cells. However, there is no evidence about the potential risk of various types of cancer patients vulnerable to the infection of COVID-19. To obtain a risk map that indicates the novel coronavirus vulnerability of different types of cancer, we analyzed in this work the RNA sequencing datasets of cancer patients. By interrogating the datasets, we not only identified the cancer types vulnerable to COVID-19 attacks, but also we reported that variations in the mRNA expression level of ACE2 correlate to various prognosis phenomenon in different types of cancer cohorts, and illustrated the underlying mechanism involved or may be related to lymphocytes infiltration. From these discoveries, we constructed an infection risk map, which indicates the vulnerability of different types of cancer to COVID-19 infection, also elucidated the correlationship between ACE2 and the prognosis of cancer. We found that high ACE2 expression levels lead to high risk of COVID-19 infection and poor prognosis of breast invasive carcinoma (BRCA), while better prognosis in ovarian serous cystadenocarcinoma (OV) patient cohorts. Moreover, our study demonstrated that this different pattern may correlate with the immune infiltration level.