Tumor Adjacent Tissues Research Articles

Expression level of miR-548aa in tissue samples of patients with colorectal cancer.

The pathogenesis of colorectal cancer (CRC) is influenced by various risk factors, and genetic alterations in progression of colon polyps. The expression patterns of microRNA-548 (miR-548) in colorectal tissues have been sufficiently characterized. The aim of this study is to clarify the role of miR-548aa in tumorigenesis, gene targeting, predictive value and its expression levels in tumoral versus adjacent marginal tissues in CRC patients. This study included 35 CRC patients who underwent surgery to remove their tumor tissue. Tumor samples and adjacent marginal tissue were collected and gene expression was analyzed through real-time PCR. The correlation between miR-548aa expression levels and clinical parameters were investigated. Our findings showed a significant increase in the expression of miR-548aa in tumoral tissues compared to marginal tissues (p < 0.05). The upregulation of miR-548aa was significantly detected in CRC samples, showing an area under the curve of 0.89 (p = 0.002), indicating strong sensitivity and specificity for CRC diagnosis. To prediction of miRNA target genes and construction of regulatory networks of miR-548aa, we used bioinformatics tools including TargetScan and miRDB. Protein-protein interaction (PPI) network was constructed through STRING database and visualized using Cytoscape software. Dysregulation of miR-548aa is closely related to tumorigenesis in colorectal tissues, which affects disease progression and clinical outcomes. The miR-548aa can be introduced as a proposed biomolecule involved in mechanism of tumorigenesis, gene targeting and predictive value for CRC diagnosis and a target for therapeutic intervention.

Thermal ablation enhances immunotherapeutic effect of IP-001 on orthotopic liver cancer in a rat model

Background Thermal ablation is reported to increase immunogenicity in tumor cells via expressing tumor antigens. IP-001, a synthesized molecule, is created by attaching galactose molecules to the free amino groups of partially deacetylated glucosamine polymers. As a member of a new class of polycationic immunoadjuvants that activate multiple immune response pathways, IP-001 can both sequester ablation‐released tumor antigens in situ and independently recruit and stimulate antigen presenting cells (APCs) to induce a potent tumor-specific Th1 type T cell response. Methods An orthotopic HCC rat model is established by implantation of 5 × 106 N1-S1 cells into the left lobe of liver. When tumor size reached 1.0–1.5 cm3, the animals were divided randomly into 4 groups, (1) MWA+IP-001; (2) MWA+saline; (3) sham MWA+IP-001 and (4) sham MWA+saline (n = 5 each group). Results IP001 + MWA treatment significantly suppressed tumor growth in comparison to the other 3 groups. Significantly increased infiltration of inflammatory/immune cells were found in the tumor adjacent tissues of MWA+IP-001 mice, compared to the other 3 groups. Flow cytometry results indicated that there were significant increases of cytotoxic T cells, macrophages, dendritic cells and NK cell in the combination of MWA and IP001 treated mice, compared to other 3 groups (p < 0.01). Significantly decreased number of Treg cells were found in all the treatment arms compared to untreated control (p < 0.01). Conclusion Combination of MWA and IP001 enhances tumor suppression in an orthotopic HCC rat model. The tumor suppression is associated to the enhanced immune responses in terms of recruiting the important cell subpopulations such as CD8 + T-cells and NK cells into tumor microenvironment and abolishing immune suppressor such as Treg cells.

N6-methyladenosine-modified long non-coding RNA KIF9-AS1 promotes stemness and sorafenib resistance in hepatocellular carcinoma by upregulating SHOX2 expression.

Hepatocellular carcinoma (HCC) is a prevalent and aggressive tumor. Sorafenib is the first-line treatment for patients with advanced HCC, but resistance to sorafenib has become a significant challenge in this therapy. Cancer stem cells play a crucial role in sorafenib resistance in HCC. Our previous study revealed that the long non-coding RNA (lncRNA) KIF9-AS1 is an oncogenic gene in HCC. However, the role of KIF9-AS1 in drug resistance and cancer stemness in HCC remains unclear. Herein, we aimed to investigate the function and mechanism of the lncRNA KIF9-AS1 in cancer stemness and drug resistance in HCC. To describe the role of the lncRNA KIF9-AS1 in cancer stemness and drug resistance in HCC and elucidate the underlying mechanism. Tumor tissue and adjacent non-cancerous tissue samples were collected from HCC patients. Sphere formation was quantified via a tumor sphere assay. Cell viability, proliferation, and apoptosis were evaluated via Cell Counting Kit-8, flow cytometry, and colony formation assays, respectively. The interactions between the lncRNA KIF9-AS1 and its downstream targets were confirmed via RNA immunoprecipitation and coimmunoprecipitation. The tumorigenic role of KIF9-AS1 was validated in a mouse model. Compared with that in normal controls, the expression of the lncRNA KIF9-AS1 was upregulated in HCC tissues. Knockdown of KIF9-AS1 inhibited stemness and attenuated sorafenib resistance in HCC cells. Mechanistically, N6-methyladenosine modification mediated by methyltransferase-like 3/insulin-like growth factor 2 mRNA-binding protein 1 stabilized and increased the expression of KIF9-AS1. Additionally, KIF9-AS1 increased the stability and expression of short stature homeobox 2 by promoting ubiquitin-specific peptidase 1-induced deubiquitination. Furthermore, depletion of KIF9-AS1 alleviated sorafenib resistance in a xenograft mouse model of HCC. The N6-methyladenosine-modified lncRNA KIF9-AS1 promoted stemness and sorafenib resistance in HCC by upregulating short stature homeobox 2 expression.

LncRNA SNHG16 Drives PD-L1-Mediated Immune Escape in Colorectal Cancer through Regulating miR-324-3p/ELK4 Signaling.

Colorectal cancer (CRC) is a common malignancy that claims the life of many patients. Nucleolar RNA host gene 16 (SNHG16) has been identified as an oncogene in CRC development. However, the role and mechanism of SNHG16 in CRC remain unclear. A total of 27 cases of CRC tumor tissues and adjacent tissues were collected to investigate the expression and correlation among SNHG16, miR-324-3p, ELK4 and PD-L1 using qRT-PCR, western blot and Pearson analysis. Cell proliferation, migration and invasion abilities were determined using CCK-8 and transwell assays. The cytotoxicity of CD8 + T cells and the apoptosis of CD8+ T cells was evaluated by LDH assay and flow cytometry, respectively. Dual luciferase assay, RIP and ChIP methods were performed to verify molecular interactions. Our results showed that SNHG16, ELK4 and PD-L1 expression were abnormally elevated and miR-324-3p expression was decreased in tumor tissues from CRC patients and CRC cells. SNHG16 silencing resulted in suppression of cell growth, metastasis, and immune escape of CRC cells, which was reversed by miR-324-3p inhibitor and ELK4 overexpression. Mechanistically, SNHG16 acted as a competitive endogenous RNA to enhance ELK4 expression by sponging miR-324-3p, thereby provoking the transcription of PD-L1. Our results demonstrated that SNHG16 silencing led to the suppression of cell growth, metastasis, and immune escape of CRC cells through mediating miR-324-3p/ELK4/PD-L1 axis, offering promising targets for CRC treatment.

Comparison of apparent diffusion coefficients of resectable mid‑high rectal adenocarcinoma and distal paracancerous tissue.

Paracancerous tissues actively communicate with the tumor and undergo molecular alterations associated with tumorigenesis. Apparent diffusion coefficient (ADC) can help distinguish between rectal adenocarcinoma (RA), tumor-adjacent and tumor-distant tissues. Preoperative determining optimal distal resection margin (DRM) is crucial for formulating surgical options. The present study aimed to assess ADC differences between RA and 1 cm-layer distal paracancerous tissues, providing a potential reference basis for preoperatively determining optimal DRM. A total of 110 consecutive patients with mid-high RA undergoing preoperative diffusion-weighted imaging were included. ADCs of RA and distal paracancerous tissues located ~1, 2 and 3 cm from the tumor margin (defined as D1, D2 and D3, respectively) were measured using five b-value pairs (0 and 50; 0 and 100; 0 and 800; 0 and 1,000; and 0 and 1,500 sec/mm2). Differences in ADCs between RA, D1, D2 and D3 were compared using the Friedman test with a post hoc Bonferroni correction. Variables that demonstrated statistical differences in multiple pairwise comparisons underwent receiver operating characteristic (ROC) analysis to assess diagnostic performance of ADCs in distinguishing between tissues. ADC at all b-value pairs demonstrated satisfactory performance in distinguishing RA from D1, D2 and D3 [areas under the ROC curves (AUCs), 0.838 to 0.996)]. When the maximum b-value was ≥800 sec/mm2, the ADC of D1 was significantly lower compared with those of D2 and D3 (P<0.001). ADC exhibited an optimal performance in differentiating D1 from D2 at b-values of 0 and 800 sec/mm2, and D1 from D3 at b-values of 0 and 1,000 sec/mm2 (AUCs: 0.652 and 0.692, respectively). However, ADCs of D2 and D3 demonstrated no differences at all b-value pairs (all P>0.05). In conclusion, ADC may distinguish RA from D1, D2 and D3, and D1 from D2/D3, but cannot distinguish between D2 and D3.

Expression and clinical significance of Numb and Notch-1 proteins between tissue of colon cancer and regional lymph node metastases.

To investigate the expression and clinical significance of Notch-1 and Numb protein in colon cancer tissues and regional lymph node metastases. Immunohistochemical method was used to detect the expression of Notch-1 protein and Numb protein in 110 cases of colon cancer tissues, along with tumor adjacent tissues and 56 cases of MLN tissues, and to analyze its role in colon cancer and MLN tissue. Comparing colon cancer tissue or lymph node metastases with tumor adjacent tissue, the positive expression rate of Numb was significantly decreased, while the positive expression of Notch-1 was significantly increased in colon cancer tissue or lymph node metastases (both p<0.05). The expression of Notch-1 and Numb was correlated with the lymph node metastasis, TNM stage, and degree of differentiation (p<0.05). The expression between Numb and Notch-1 showed negative correlation in colon cancer tissues (r=-0.261, p<0.05). There was no relationship between the expression of Numb and Notch-1 protein in colon cancer and metastatic lymph node tissue (p>0.05). Numb expression is decreased and Notch-1 expression is increased in colon cancer tissue and metastatic lymph node tissue, suggesting that the interaction between the two proteins may play a promote role in the development, invasion, and metastasis of colon cancer. There was no relationship between the expression of Numb and Notch-1 protein in colon cancer and metastatic lymph node tissue, suggesting that there is no obvious enhancement of the cancer cells; in the process of lymph node metastasis, the degree of malignant biological behavior remains relatively stable.

The predictive value of miR-29b-2-5p on the prognosis of cervical cancer and its inhibitory effect on cervical cancer progression.

The poor prognosis of cervical cancer patients leads to an annual increase in mortality, while microRNAs are involved in various cancers, including cervical cancer. This study aimed to investigate the clinical value and possible effect of miR-29b-2-5p on the progression of cervical cancer. The expression level of miR-29b-2-5p in cervical cancer tissues and cells was analyzed by polymerase chain reaction. The Kaplan-Meier curve was used to evaluate the role of miR-29b-2-5p in cervical cancer prognosis. The independent prognostic factors of cervical cancer were explored by the multivariate Cox regression analysis. The effect of miR-29b-2-5p on the proliferation, migration, and invasion of cervical cancer cells was determined by in vitro cell experiments. A significantly downregulated miR-29b-2-5p expression was observed in cervical cancer tumor tissues and cervical cancer cells compared with the adjacent tumor tissues (tissues of the negative surgical margin) and H8 cells, respectively. Higher miR-29b-2-5p expression correlated with a better 5-year progression-free survival of cervical cancer. MiR-29b-2-5p was also associated with the indicators (tumor size, tumor differentiation, FIGO (International Federation of Gynecology and Obstetrics) stage, and invasion depth) of the progression of cervical cancer tumors. And miR-29b-2-5p, along with tumor size, tumor differentiation, FIGO stage, histology type, and invasion depth, were independent prognostic factors for poor cervical cancer prognosis. MiR-29b-2-5p showed a suppressive effect on the proliferation, migration, and invasion of cervical cancer cells. MiR-29b-2-5p was downregulated in cervical cancer tumor tissues and could serve as an independent prognostic factor for cervical cancer. The overexpressed miR-29b-2-5p could be considered a tumor suppressor to inhibit the progression of cervical cancer.

Kynureninase induce cuproptosis resistance in gastric cancer progression through downregulating lipotic acid synthetase mediated non-canonical mechanism.

Gastric cancer (GC) is among the most malignant tumors, with the lowest five-year survival rate, and limited treatment options. Kynureninase (KYNU), is a key molecule in tryptophan metabolism and promotes tumor progression and immunosuppression. Cuproptosis is a non-apoptotic cell death mechanism, primarily due to oxidative stress caused by copper ion accumulation, that is related to tumor progression and drug resistance. KYNU can inhibit ferroptosis of tumor cells by alleviating oxidative stress. Here, we explored whether KYNU can regulate the biological behavior of GC and cuproptosis. Expression, prognostic association, and functional analysis of KYNU in GC and tumor-adjacent tissues were analyzed using data from The Cancer Genome Atlas and clinical specimens. Effects of KYNU on proliferation, invasion, metastasis, and cuproptosis of GC cells were detected by CCK8, clone formation, Transwell, and flow cytometry assays. Elesclomol (ES) combined with CuCl2 were used to induce cuproptosis in GC cells. 3-hydroxyanthranilic acid (3-HA) was used to indicate KYNU function. Key cuproptosis genes were detected by qPCR and WB. The effects of KYNU on GC cell behavior and cuproptosis through lipoic acid synthetase (LIAS) were verified by stable overexpression and knockdown of LIAS. KYNU is highly expressed in GC, and high KYNU expression is an independent predictor of poor prognosis in patients with GC. KYNU can promote GC cell proliferation, invasion, metastasis, and cuproptosis resistance. 3-HA had a certain inhibitory effect on the expression of LIAS, but it was not significant. KYNU had no effect on the intracellular 3-HA level. KYNU expression was negatively correlated with that of LIAS, and promoted GC cell proliferation, invasion, metastasis, and cuproptosis resistance by downregulating LIAS. KYNU can promote GC proliferation, invasion, metastasis, and cuproptosis resistance.This effect is not associated with its metabolite 3-HA, but is achieved by a non classical mechanisms that downregulating the expression of LIAS, a key gene of cuproptosis.

New Insights into Mucosa-Associated Microbiota in Paired Tumor and Non-Tumor Adjacent Mucosal Tissues in Colorectal Cancer Patients.

Colorectal cancer (CRC) is one of the most common cancers worldwide. Increasing scientific evidence supports the idea that gut microbiota dysbiosis accompanies colorectal tumorigenesis, and these changes could be causative. Implementing gut microbiota analysis in clinical practice is limited by sample type, sequencing platform and taxonomic classification. This article aims to address these limitations, providing new insights into the microbiota associated with CRC pathogenesis and implementing its analyses in personalized medicine. To that aim, we evaluate differences in the bacterial composition of 130 paired tumor and non-tumor adjacent tissues from a cohort of CRC patients from the Biobank of the University of Navarra, Spain. The V3-V4 region of the 16S rRNA gene was amplified, sequenced using the MinION platform, and taxonomically classified using the NCBI database. To our knowledge, this is the first study to report an increased relative abundance of Streptococcus periodonticum and a decreased relative abundance of Corynebacterium associated with CRC. Genera such as Fusobacterium, Leptotrichia and Streptococcus showed higher relative abundances in tumor than in non-tumor tissues, as previously described in the literature. Specifically, we identified higher levels of Fusobacterium animalis, Fusobacterium nucleatum, Fusobacterium polymorphum and S. periodonticum in tumor tissues. In contrast, genera such as Bacteroides and Corynebacterium showed lower relative abundances in tumor tissues. There were also differences at the taxonomic level between tumor locations. These results, consistent with previous studies, further support the hypothesis that Leptotrichia and Fusobacterium contribute to CRC progression, with F. nucleatum and F. animalis proposed as key CRC pathogenic taxa. Overall, these results contribute to a better understanding of the CRC-associated microbiota, addressing critical barriers to its implementation in personalized medicine.

Cancer-associated fibroblasts affect breast cancer cell sensitivity to chemotherapeutic agents by regulating NRBP2.

To uncover the role of nuclear receptor-binding protein 2 (NRBP2) in cancer-associated fibroblasts (CAFs), and CAFmediated TAM sensitivity in breast cancer (BC). 10 pairs of matched tumor tissues and adjacent normal tissues were collected and CAFs and normal fibroblasts (NFs) were isolated. CCK-8 as well as colony formation assays showed the effects on cell growth. qPCR and Immunoblot showed the expression of NRBP2 in CAFs. FCM as well as Immunoblot assays exhibited the effects on cell apoptosis. Immunoblot further confirmed the mechanism. CAFs contributed to BC cell growth. In addition, the expression of NRBP2 is downregulated in CAFs. NRBP2 suppressed CAF-induced resistance in BC cells. Further, NRBP2 expression in CAF group increased TAM induced apoptosis. Mechanically, NRBP2 in CAFs inhibited Akt pathway, therefore suppressed resistance in BC cells. CAFs affected BC cell sensitivity to TAM by regulating NRBP2.

Stage dependent microbial dynamics in hepatocellular carcinoma and adjacent normal liver tissues

The interactive pathway of the gut-liver axis underscores the significance of microbiome modulation in the pathogenesis and progression of various liver diseases, including hepatocellular carcinoma (HCC). This study aims to investigate the disparities in the composition and functionality of the hepatic microbiota between tumor tissues and adjacent normal liver tissues, and their implications in the etiology of HCC. We conducted a comparative analysis of the hepatic microbiome between adjacent normal liver tissues and tumor tissues from HCC patients. Samples were categorized according to the modified Union for International Cancer Control (mUICC) staging system into Non-tumor, mUICC stage I, mUICC stage II, and mUICC stage III groups. Microbial richness and community composition were analyzed, and phylogenetic profiles were examined to identify significantly altered microbial taxa among the groups. Predicted metabolic pathways were analyzed using PICRUSt2. Our analysis did not reveal significant differences in microbial richness and community composition with the development of HCC. However, phylogenetic profiling identified significantly altered microbial taxa among the groups. Sphingobium, known for degrading polychlorinated biphenyls (PCBs), exhibited a significantly negative correlation with clinical indices in HCC patients. Conversely, Sphingomonas, a gut bacterium associated with various liver diseases, showed a positive correlation. Predicted metabolic pathways suggested a correlation between atrazine degradation and valine, leucine, and isoleucine biosynthesis with mUICC stage and tumor size. Our results underscore the critical link between hepatic microbial composition and function and the HCC tumor stage, suggesting a potentially pivotal role in the development of HCC. These findings highlight the importance of targeting the hepatic microbiome for therapeutic strategies in HCC.

A study of the clinical significance of mSEPT9 in monitoring recurrence and prognosis in patients with surgically treated colorectal cancer.

To explore the medical significance of methylated septin9 (mSEPT9) in monitoring recurrence and prognostic assessment in individuals with surgically treated colorectal cancer (CRC). To investigate the role of Septin9 in colorectal cancer, we utilized the TIMER2.0 database to analyze its differential expression between tumor tissues and adjacent normal tissues. Colorectal cancer RNA-seq data from the TCGA database was downloaded and curated. The clinical relevance of mSEPT9 in colorectal cancer was explored by examining the correlation between Septin9 methylation levels and clinical characteristics using UALCAN and MethSurv software. Peripheral blood samples were obtained from 130 CRC subjects who underwent surgery for the detection of mSEPT9 and carcinoembryonic antigen (CEA) expression, along with collection of clinicopathological data such as age, gender, tumor site, TNM stage, and tumor differentiation. Patients were followed up for at least 3 years post-surgery until the death or final follow-up dates (31/12/2022). Additionally, peripheral blood samples were collected from 30 colorectal cancer surgery patients for mSEPT9 detection before and 7 days after surgery. Through bioinformatic database analysis, we identified higher expression levels of SEPT9 mRNA in most tumor tissues compared to normal tissues. Similarly, both paired and unpaired CRC tissues exhibited elevated expression of Septin9 when compared to normal tissues. Following GO and KEGG analysis of Septin9 target genes, we discovered their significant associations with ncRNA metabolic processes, ribonucleoprotein complex biogenesis, spliceosomes, and viral carcinogenesis. Furthermore, the overexpression of mSeptin9 was observed in CRC tissues, and it demonstrated a correlation with colon cancer staging and histologic classification. In our clinical sample study, The positive rate of mSEPT9 in CRC patients 7 days after surgery was 43.44% lower than that of preoperative. The differences in TNM stage, tumor differentiation degree, and preoperative CEA expression level between the preoperative mSEPT9 positive and negative groups of CRC were statistically significant (P < 0.05). Recurrence free survival (RFS) and overall survival (OS) were shorter in the preoperative mSEPT9-positive group, meaning preoperative mSEPT9 status was a risk factor for CRC recurrence and prognosis (P < 0.05). The sensitivity, specificity, and AUC value of preoperative mSEPT9 and CEA levels for predicting postoperative recurrence in CRC patients were 88% vs. 72%, 56.19% vs. 55.24%, and 0.721 vs. 0.636 respectively, well the AUC value of the combined prediction of postoperative recurrence was 0.758. The detection of mSEPT9 combined with CEA in preoperative plasma helps predict recurrence in colorectal cancer patients.

PTPN11 is a potential biomarker for type 2 diabetes mellitus complicated with colorectal cancer

Epidemiological surveys have shown that the incidence of type 2 diabetes mellitus (T2DM) and malignancies is rapidly increasing worldwide and has become a major disease that threatens human life. In this study, we quantitatively analyzed the proteome of tumor tissues and adjacent normal tissues from six patients withT2DM combined with colorectal cancer (CRC) and eight non-diabetic CRC, focusing on the effect of T2DM on tumor tissues. We analyzed the functional enrichment of differentially expressed proteins (DEPs) using clusterProfiler in R and the expression level of protein tyrosine phosphatase non-receptor type 11 (PTPN11) and other key proteins in the TIMER and GEPIA2 databases. The HPA database was used to validate PTPN11 protein expression. The correlation between PTPN11 expression and clinicopathological features was analyzed by UALCAN database. The impact of PTPN11 on clinical prognosis was evaluated utilizing Kaplan-Meier Plotter. The correlation between PTPN11 expression and tumor-infiltrated immune cells was investigated via TIMER and TISIDB databases. Gene set enrichment analysis (GSEA) was performed to examined the pathway of PTPN11 enrichment in CRC using data from The Cancer Genome Atlas (TCGA) database. Furthermore, small interfering (si) RNA was used to knock down PTPN11 in CRC cell line SW480. Western blot analysis was used to detect PTPN11 expression in tissue samples or cells and the effect of PTPN11 knockdown on key proteins related to PI3K/AKT and cell cycle pathway in SW480 cells. Cell proliferation and wound healing assays were used to detect the effects of cell proliferation and migration after knockdown of PTPN11 or treatment with high glucose. We found that metabolic pathways such as oxidative phosphorylation, glycolysis/gluconeogenesis, and insulin secretion were significantly enriched in tumor tissues from diabetic patients compared to non-diabetic patients. In addition, PTPN11, a marker gene associated with T2DM and CRC, were mined in diabetic tumor tissues. PTPN11 showed high expression in diabetic tumor tissues compared to normal tissues. High PTPN11 expression predicted poor prognosis in CRC. PTPN11 expression was strongly associated with immune infiltrating cells in CRC. GSEA analysis revealed that PTPN11 was enriched in cancer-related pathways. Western blotting analysis indicated that PTPN11 knockdown reduced the protein levels of p-PI3K, p-AKT, CDK1 and CYCLIN D, without altering PI3K and AKT protein levels. Cell proliferation and wound healing data showed that PTPN11 and high glucose could increase the proliferation and migration ability. These findings showed that PTPN11 may be a potential key biomarker for CRC in patients with diabetes, which will provide new potential targets for future intervention of T2DM complicated with CRC.

HCV- and HBV-mediated liver cancer converge on similar transcriptomic landscapes and immune profiles

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related deaths worldwide, and a large proportion is attributable to viral causes, including hepatitis B (HBV) and C viruses (HCV). The pathogenesis of viral-mediated HCC can differ between HBV and HCV, but it is unclear how much these differences influence the tumors' final molecular and immune profiles. Additionally, there are known sex differences in the molecular etiology of HCC, but sex differences have not been explored in the context of viral-mediated HCC. To determine the extent to which the viral status and sex impact the molecular and immune profiles of HCC, we performed differential expression and immune cell deconvolution analyses. We identified a large number of differentially expressed genes unique to the HBV or HCV tumor:tumor-adjacent comparison. Pathway enrichment analyses demonstrated that changes unique to the HCV tumor:tumor-adjacent tissue were dominated by changes in immune pathways. Immune cell deconvolution demonstrated that HCV tumor-adjacent tissue had the largest immune cell infiltrate, with no difference in the immune profiles within HBV and HCV tumor samples. Overall, this work demonstrates the convergence of HBV- and HCV-mediated HCC on a similar transcriptomic landscape and immune profile despite differences in the surrounding tissue.

Existence and distribution of the microbiome in tumour tissues of children with hepatoblastoma

Cancer microbiota have recently been demonstrated in several cancer types. The microbiome enhances inflammation in the cancer microenvironment and affects the disease pathology by regulating tumourigenesis, cancer progression, and chemotherapy resistance. Hepatoblastoma (HB), the most common childhood malignant tumour, is a malignant embryonic tumour. However, the pathogenesis and molecular basis of HB remain poorly understood. In this study, to explore the existence and distribution of the microbiome in tumour tissues and adjacent non-tumour tissues of children with HB, we mainly performed 16S rDNA sequencing, and the results showed that the diversity and abundance of the microbiome in children with HB were significantly different between HB tumours and adjacent non-tumour tissues (p < 0.01). At the phylum level, the dominant microbiome in the tumour tissues were Proteobacteria, Bacteroidetes, and Firmicutes. At the genus level, Ruminococcus was more abundant in HB tumours than in the adjacent non-tumour tissues. Simultaneously, the abundances of Bacteroides, Parabacteroides, Lachnospiracea-NK4A136, and Alistipes in HB tumours were lower than those in the adjacent non-tumour tissues. In addition, Romboutsia strongly correlated with alpha-fetoprotein, an important indicator of HB. Sphingomonas was abundant in primary HB tumours, whereas Oscillibacter and Pandoraea were abundant in metastatic HB tumours. However, whether these bacteria are associated with HB needs further evaluation. Therefore, we identified the microbiome that correlated with the occurrence and development of HB. Ruminococcus and Romboutsia were identified as potential bacterial markers of HB tumours. To conclude, we found that HB also contains cancer microbiome, and it is necessary to shed light on the microbiome characteristics of HB in the future.

Histologic Characterization of Tumor-Adjacent Mammary Adipose Tissue in Normal-Weight and Overweight/Obese Patients with Triple-Negative Breast Cancer

Background: Obesity is a risk factor of several types of cancer, including breast cancer. In this study, we aimed to histologically characterize the adipose tissue of the tumor microenvironment (TME) of triple-negative breast cancer (TNBC) in overweight/obese versus normal-weight patients. Methods: TNBC tissue sections from normal-weight (BMI&lt;25) and overweight/obese patients (BMI≥25) were stained with antibodies against CD68, CD163, CD31, CD34, and vimentin. At the invasive tumor front, positive cells were counted in tumor adjacent adipose tissue (AT) and within cancer tissue (CT). Further, the size of the tumor-adjacent and distant mammary adipocytes was determined in perilipin stained sections. Expression of ANGPTL4, CD36 and FABP4, proteins involved in fatty acid metabolism, was analyzed in marginal tumor cells using an immune reactive score. Results: Overweight/obese TNBC patients had significantly larger adipocytes, higher numbers of CD163+ macrophages (BMI&lt;25: 2.80 vs. BMI≥25: 10.45; p = 0.011) and lower numbers of CD31+ (BMI&lt;25: 4.20 vs. BMI≥25: 2.40; p = 0.018) and CD34+ (BMI&lt;25: 14.60 vs. BMI≥25: 5.20; p = 0.045) cells as markers of angiogenesis in the AT as well as a higher frequency of cancer-associated-fibroblast-like cells in the AT and CT (BMI&lt;25: 7.60 vs. BMI≥25: 25.39 in total; p = 0.001). Moreover, expression of CD36 (BMI&lt;25: 2.15 vs. BMI≥25: 2.60; p = 0.041) and ANGPTL4 (BMI&lt;25: 6.00 vs. BMI≥25: 9.80; p = 0.026) was elevated in the TNBC cells of overweight/obese patients. Conclusions: Our data suggest BMI-related changes in the TME of overweight/obese TNBC patients, including hypertrophied adipocytes, reduced vascularization, more M2-like macrophages and CAF-like cells, and an increase in the expression of fatty acid metabolizing proteins in marginal tumor cells, all contributing to a more tumor-promoting, immunosuppressive environment.

Retinol-binding protein type 1 expression predicts poor prognosis in head and neck squamous cell carcinoma

BackgroundHead and neck squamous cell carcinoma (HNSCC) is the sixth most prevalent malignancy worldwide, with high incidence and poor survival rates. RBP1 is highly expressed in several kinds of cancer and plays a potential prognostic factor. However, the relationship between RBP1 and HNSCC were analyzed based on The Cancer Genome Atlas (TCGA) database.Materials and methodsRBP1 expression and clinical information were obtained from the Cancer Genome Atlas (TCGA) database. Tumor tissue and adjacent normal tissue of 6 HNSCC patients were collected to analyze the RBP1 mRNA expression level by quantitative PCR. Cox regression analysis was used to evaluate the prognostic values of RBP1 and clinical data in HNSCC. A nomogram was also established to predict the impact of RBP1 on prognosis based on Cox multivariate results. The methylation level of RBP1 in HNSC and its prognosis were analyzed in UALACN and MethSurv. Finally, the potential biological functions of RBP1 were investigated using gene set enrichment analysis (GSEA) and single sample GSEA (ssGSEA).ResultsThe mRNA expression levels of RBP1 were highly expressed in HNSCC tissue. The Cox analyses demonstrate that highly-expressed RBP1 is an independent prognosis marker(P < 0.05). ROC curve analysis showed that performances of RBP1 (area under the ROC curve: 0.887, sensitivity: 84.1%, specificity: 79.9%). The methylation was increased in HNSCC patients compared with normal subjects(P < 0.05) and was associated with better prognosis at sites cg06208339, cg12298268, cg12497564, cg15288618, cg20532370, cg23448348. Additionally, RBP1 expression is mildly associated with immune cell infiltration and immunological checkpoints.ConclusionRBP1 is overexpressed and associated with poor patient prognosis in head and neck squamous cell carcinoma.

Adaptive segmentation-to-survival learning for survival prediction from multi-modality medical images

Early survival prediction is vital for the clinical management of cancer patients, as tumors can be better controlled with personalized treatment planning. Traditional survival prediction methods are based on radiomics feature engineering and/or clinical indicators (e.g., cancer staging). Recently, survival prediction models with advances in deep learning techniques have achieved state-of-the-art performance in end-to-end survival prediction by exploiting deep features derived from medical images. However, existing models are heavily reliant on the prognostic information within primary tumors and cannot effectively leverage out-of-tumor prognostic information characterizing local tumor metastasis and adjacent tissue invasion. Also, existing models are sub-optimal in leveraging multi-modality medical images as they rely on empirically designed fusion strategies to integrate multi-modality information, where the fusion strategies are pre-defined based on domain-specific human prior knowledge and inherently limited in adaptability. Here, we present an Adaptive Multi-modality Segmentation-to-Survival model (AdaMSS) for survival prediction from multi-modality medical images. The AdaMSS can self-adapt its fusion strategy based on training data and also can adapt its focus regions to capture the prognostic information outside the primary tumors. Extensive experiments with two large cancer datasets (1380 patients from nine medical centers) show that our AdaMSS surmounts the state-of-the-art survival prediction performance (C-index: 0.804 and 0.757), demonstrating the potential to facilitate personalized treatment planning.

EBNA1BP2 identified as potential prognostic biomarker for multiple tumor types in pan-cancer analysis

BackgroundEpstein-Barr virus (EBV) infection has been closely linked to the development of various types of cancer. EB nuclear antigen 1 binding protein 2 (EBNA1BP2) is a crucial molecule for stable isolation of EBV in latent infection. However, the role of EBNA1BP2 in multiple tumor types is remains unclear. In this study, we comprehensively analyzed the functional characteristics of EBNA1BP2 and investigate its potential as a prognostic biomarker in pan-cancer.MethodsWe utilized data from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) databases and employed various bioinformatics analysis tools, including TIMER2.0, HPA, GEPIA2.0, PrognoScan, cBioPortal, CancerSEA, and BioGRID to explore the expression pattern, prognostic value, immune infiltration, and methylation level of EBNA1BP2 in pan-cancer. Additionally, we conducted enrichment analysis of genes associated with EBNA1BP2 to identify potential biological functions and pathways.ResultsOur analysis revealed that EBNA1BP2 expression was significantly higher in tumor tissues compared to tumor-adjacent tissues. We observed that lower expression of EBNA1BP2 in adrenocortical carcinoma (ACC), brain lower grade glioma (LGG), sarcoma (SARC), and uterine carcinosarcoma (UCS) was significantly associated with improved overall survival (OS) and disease-free survival (DFS). Furthermore, the promoter methylation level of EBNA1BP2 was downregulated in the majority of cancer types. At the single-cell level, EBNA1BP2 was found to be positively correlated with cell cycle and DNA repair processes, while negatively correlated with hypoxia. Additionally, EBNA1BP2 was associated with the infiltration of immune cells such as B cells, cancer-associated fibroblast cells, and CD8+ T cells. Gene enrichment analysis indicated that EBNA1BP2 was mainly involved in nucleoplasm and RNA binding pathways.ConclusionOur findings suggest that EBNA1BP2 may serve as a potential prognostic biomarker for survival in pan-cancer. Further experimental studies are needed to validate these findings and explore the underlying mechanisms by which EBNA1BP2 contributes to tumorigenesis.

MMP9 gene expression alterations in gastric cancer and their role in cell migration

Background. Gastric cancer (GC) is a significant global health concern, ranking as the fifth most common malignant tumor and the fourth leading cause of cancer-related deaths worldwide. The primary treatment approach for metastatic GC is systemic chemotherapy. Matrix metalloproteinases (MMPs) are a group of zinc-dependent proteolytic enzymes that play crucial roles in various physiological processes. Among them, MMP9 is known for its complexity and its ability to degrade the components of the extracellular matrix. This study aimed to compare the expression of the MMP9 gene in cancerous and adjacent tissue of GC and evaluate its knockdown effects on GC cell line migration. Methods. In the present study, 50 tumor tissues and adjacent non-tumor control tissues were collected from patients with GC. Using a real-time polymerase chain reaction, the expression levels of the MMP9 gene were assessed in these samples. Additionally, bioinformatics methods were employed to analyze MMP9 expression in a larger cohort of GC patients. Furthermore, a data mining study was conducted to investigate the potential impact of MMP9 expression on the overall survival of GC patients. In addition, appropriate small interfering RNA (siRNA) was synthesized to suppress the MMP9 oncogene and transfected into the GC cell line, and migration was investigated eventually. Results. The results demonstrated significant upregulation of the MMP9 gene in tumor samples compared to tumor-adjacent samples, with a notable fold change of 4.6. This consistent finding was further supported by our bioinformatics analysis. Additionally, our pan-cancer analysis of TCGA data revealed that MMP9 is upregulated in various malignant tumors, indicating its potential relevance beyond GC. After MMP9 siRNA transfection, the migration rate of the cancer cells was evaluated by a wound-healing assay. The GC cell migration and invasion significantly decreased after the knockdown of MMP9 by specific siRNA. Conclusion. In general, our study showed MMP9 upregulation in GC and suggested that the transfection of MMP9 gene siRNA could reduce invasion and migration. Practical Implications. siRNAs are promising medical breakthroughs for the treatment of MMP9-related cancer invasion and migration. However, there is still a need to deepen our understanding of MMP9 gene function in tumorigenesis.