Metastasis-related Genes Research Articles

Gastric cancer metastasis-related NT5DC2 indicates unfavorable prognosis of patients.

Approximately 80 to 90% of patients with gastric cancer (GC) eventually develop into metastatic GC nowadays,because GC is difficult to be diagnosed at an early stage. GC patients with metastases typically have a poor prognosis. It is necessary to explore a potential prognostic marker in metastatic GC. All GC data were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases. The metastasis-related candidate gene and its role in GC were analyzed by comprehensive analysis. Totally 1049 metastasis-related genes were identified in GC. Univariate Cox regression analysis screened the top 10 genes (PDHX, SLC43A1, CSAG2, NT5DC2, CSAG1, FMN1, MED1, HIVEP2, FNDC3A, and PPP1R2) that were closely correlated with prognosis of GC patients. Among which, NT5DC2 was screened as the target gene for subsequent study. The NT5DC2 expression were increased in primary GC and metastatic GC samples. Moreover, GC patients with high NT5DC2 expression exhibited shorter overall survival and post progression survival, and the NT5DC2 was metastatic GC patients' independent prognostic factor. Totally 29 pathways were activated in metastatic GC samples with high NT5DC2 expression. Four immune cells' infiltration were significantly different between NT5DC2 high and low expressed metastatic GC patients. NT5DC2 showed significantly negative correlations with 6 types of immune cells' critical marker genes and 5 types of immune cell infiltration. The 10 immune checkpoint expressions were decreased in high NTDC2 expression metastatic GC patients. NT5DC2 plays a prognostic role in metastatic GC. GC patients with high NT5DC2 expression indicates unfavorable prognosis.

Silencing lncRNA EZR‑AS1 induces apoptosis and attenuates the malignant properties of lung adenocarcinoma cells.

Adenocarcinoma is one of the major subtypes of lung cancer. This study aimed to investigate the effect of silencing long non-coding RNA (lncRNA) EZR‑AS1 on the biological behaviors of lung adenocarcinoma (ADC) cells. EZR‑AS1 expression levels in lung ADC tissues and cells, as well as in adjacent non-cancerous tissues, were determined using quantitative reverse transcription polymerase chain reaction (qRT-PCR). EZR‑AS1 was knocked down in two lung ADC cell lines using small interfering RNA specific for EZR‑AS1 (siEZR‑AS1). Proliferation, migration, and apoptosis of EZR‑AS1-knockdown cells were assessed using the CCK-8 viability assay, flow cytometry, or wound healing experiments. The levels of proteins related to migration pathways were evaluated using western blotting analysis. EZR‑AS1 contents were significantly higher in lung ADC tissues and cells than in the levels in the non-cancerous tissues and cells (p<0.01). Transfection of ADC cell lines H1437 and H1975 significantly downregulated EZR‑AS1 levels in both cell lines. Cytotoxicity assays revealed that the viability of EZR‑AS1-knockdown cells significantly decreased over culture time, and a significant level of apoptosis was induced (p<0.01). Wounding healing experiments revealed that EZR‑AS1-knockdown significantly reduced the migration rate of both cell lines (p<0.01). Furthermore, proteins related to migration pathways such as vimentin, MMP2, and MMP9 were significantly downregulated, whereas the E-cadherin level was significantly increased after EZR‑AS1 knockdown. Our work demonstrated that EZR-AS1 is associated with ADC progression, and silencing this gene inhibits proliferation and reduces migration of ADC cells in vitro. The altered expression of metastasis-related genes was likely responsible for the reduced migration ability after EZR-AS1 knockdown.

Development of a Macrophage-Related Risk Model for Metastatic Melanoma.

As a metastasis-prone malignancy, the metastatic form and location of melanoma seriously affect its prognosis. Although effective surgical methods and targeted drugs are available to enable the treatment of carcinoma in situ, for metastatic tumors, the diagnosis, prognosis assessment and development of immunotherapy are still pending. This study aims to integrate multiple bioinformatics approaches to identify immune-related molecular targets viable for the treatment and prognostic assessment of metastatic melanoma, thus providing new strategies for its use as an immunotherapy. Immunoinfiltration analysis revealed that M1-type macrophages have significant infiltration differences in melanoma development and metastasis. In total, 349 genes differentially expressed in M1-type macrophages and M2-type macrophages were extracted from the MSigDB database. Then we derived an intersection of these genes and 1111 melanoma metastasis-related genes from the GEO database, and 31 intersected genes identified as melanoma macrophage immunomarkers (MMIMs) were obtained. Based on MMIMs, a risk model was constructed using the Lasso algorithm and regression analysis, which contained 10 genes (NMI, SNTB2, SLC1A4, PDE4B, CLEC2B, IFI27, COL1A2, MAF, LAMP3 and CCDC69). Patients with high+ risk scores calculated via the model have low levels of infiltration by CD8+ T cells and macrophages, which implies a poor prognosis for patients with metastatic cancer. DCA decision and nomogram curves verify the high sensitivity and specificity of this model for metastatic cancer patients. In addition, 28 miRNAs, 90 transcription factors and 29 potential drugs were predicted by targeting the 10 MMIMs derived from this model. Overall, we developed and validated immune-related prognostic models, which accurately reflected the prognostic and immune infiltration characteristics of patients with melanoma metastasis. The 10 MMIMs may also be prospective targets for immunotherapy.

Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma

Metastasis is a major cause of treatment failure and poor outcomes in cancer patients. The data used in the current study was downloaded from TCGA and GEO databases. Differentially expressed metastasis-related genes were identified and the biological functions were implemented. Kaplan–Meier analysis univariate, and, multivariate Cox regression analyses were performed to identify robust prognostic biomarkers, followed by construction of the risk model and nomogram. Gene set enrichment analysis was performed to identify pathways enriched in low- and high-risk groups. POLR2J3 and MYH11 were treated as prognostic biomarkers in LSCC and the risk model was constructed. Receiver operating characteristic curves revealed the good performance of the risk model. A nomogram with high accuracy was constructed, as evidenced by calibration and decision curves. Moreover, we found that the expressions of POLR2J3 and MYH11 was significantly higher in metastasis tissues compared with those in non-metastasis tissues by RT-qPCR and IHC. Our study identified novel metastasis-related prognostic biomarkers in LSCC and constructed a unique nomogram for predicting the prognosis of LSCC patients. Moreover, we explored the related mechanisms of metastasis-related genes in regulating LSCC.

The effects of anti-PD-L1 monoclonal antibody on the expression of angiogenesis and invasion-related genes.

The role of PD-L1 in regulating the immunosuppressive tumor microenvironment via its binding on PD-1 receptors is extensively studied. The PD-1/PD-L1 axis is a significant way of cancer immune escape, and PD-L1 expression on tumor cells is suggested as a predictive marker for anti-PD-1/PD-L1 monoclonal antibodies (MoAbs). However, the tumor-intrinsic role of PD-L1 is not known well. Therefore, we aimed to investigate the effects of anti-PD-L1 antibodies on the expression of angiogenesis and metastasis-related genes in tumor cells. The experiments were done with prostate cancer and melanoma cells with low PD-L1 expression (<5%) and prostate and breast cancer cells with high PD-L1 expression (>50%). The gene and protein expressions of VEGFA, E-cadherin, TGFβ1, EGFR, and bFGF in tumor cells were assayed at the 3 different doses of the anti-PD-L1 antibody. We found that VEGFA, E-cadherin and TGFβ1 expressions increased in PD-L1 high cells but decreased in PD-L1 low cells after anti-PD-L1 treatment. EGFR expression levels were variable in PD-L1 high cells, while decreased in PD-L1 low cells upon treatment. Also, the anti-PD-L1 antibody was found to increase bFGF expression in the prostate cancer cell line with high PD-L1 expression. Our results suggest that the binding of PD-L1 on tumor cells by an anti-PD-L1 monoclonal antibody may affect tumor-intrinsic mechanisms. The activation of angiogenesis and metastasis-related pathways by anti-PD-L1 treatment in PD-L1 high tumors might be a tumor-promoting mechanism. The decrease of VEGFA, TGFβ1 and EGFR upon anti-PD-L1 treatment in PD-L1 low tumor cells provides a rationale for the use of those antibodies in PD-L1 low tumors.

Metastasis-related gene signature associates with immunity and predicts prognosis accurately in patients with osteosarcoma.

Osteosarcoma is the most prevalent malignant bone tumor. In this study, we identified metastasis-related genes (MRG) that are differentially expressed between primary and metastatic osteosarcoma and employed them to create metastasis-related risk tags (MRSs) for the overall survival of osteosarcoma patients. Using consistent cluster analysis, patients with osteosarcoma in the TARGET database were divided into subgroups with different metastatic scoring patterns. The clinicopathological traits, survival rates, tumor microenvironment traits, immune-related scores, and therapeutic responses of these patients varied. Additionally, we constructed MRS-based risk characteristics and nomographs and developed an MRG Score to improve patient characteristics. Thorough evaluations demonstrated that prognostic models and metastasis scores can distinguish high-risk patients from low-risk individuals, offering excellent predictive value. Finally, western blotting was used to confirm the expression of five identified MRG markers, which are crucial for osteosarcoma invasion and migration in terms of mechanism. Our findings represent a novel and practical predictive biomarker for osteosarcoma.

Scrophularia amplexicaulis increases anti-cancer potential of doxorubicin in gastric cancer cells.

Increased drug resistance has reduced efficiency of chemotherapic drugs such as Doxorubicin (Dox). Scrophularia amplexicaulis (Scr) is one of the most important medicinal plants in Iran that has anti-cancer activity. The aim of this study was to investigate a novel approach to enhance therapeutic efficacy of Dox (as a chemotherapeutic agent) by co-administration of Scr (as a bioactive herbal compound) in gastric cancer treatment. In the present study, effects of Dox, Scr, and their combinations (Scr-Dox) were evaluated on viability and proliferation of two gastric cancer cell lines (AGS and MKN28). Moreover, morphological changes, invasion, migration, colony formation, and apoptosis rate in the treated cancer cells were evaluated. Expression of BAX, BCL2, SAMC, SURVIVIN, CASP9, P53, MMP9, and MMP2 in the treated cancer cells and untreated controls were evaluated by Real-Time PCR method. Treatments of cancer cells by Scr, Dox, and Scr-Dox significantly decreased proliferation, invasion, migration, and colony formation of gastric cancer cells. Treatments of cancer cells by Scr, Dox, and Scr-Dox significantly increased apoptosis rate as well as decreased cells mobility through modification of apoptosis- and metastasis-related genes expression. However, anti-cancer activity of Scr-Dox combination was significantly more than Scr and Dox treatments alone. In general, we demonstrated that Scr-Dox combination therapy exerts more profound anti-cancer effects on AGS and MKN28 cell lines than Scr and Dox monotherapy.

High-throughput functional screen identifies YWHAZ as a key regulator of pancreatic cancer metastasis

Pancreatic cancer is a leading cause of cancer death due to its early metastasis and limited response to the current therapies. Metastasis is a complicated multistep process, which is determined by complex genetic alterations. Despite the identification of many metastasis-related genes, distinguishing the drivers from numerous passengers and establishing the causality in cancer pathophysiology remains challenging. Here, we established a high-throughput and piggyBac transposon-based genetic screening platform, which enables either reduced or increased expression of chromosomal genes near the incorporation site of the gene search vector cassette that contains a doxycycline-regulated promoter. Using this strategy, we identified YWHAZ as a key regulator of pancreatic cancer metastasis. We demonstrated that functional activation of Ywhaz by the gene search vector led to enhanced metastatic capability in mouse pancreatic cancer cells. The metastasis-promoting role of YWHAZ was further validated in human pancreatic cancer cells. Overexpression of YWHAZ resulted in more aggressive metastatic phenotypes in vitro and a shorter survival rate in vivo by modulating epithelial-to-mesenchymal transition. Hence, our study established a high-throughput screening method to investigate the functional relevance of novel genes and validated YWHAZ as a key regulator of pancreatic cancer metastasis.

Epigenetic reprogramming-induced guanidinoacetic acid synthesis promotes pancreatic cancer metastasis and transcription-activating histone modifications

BackgroundPancreatic ductal adenocarcinoma (PDAC) tends to undergo distant metastasis, especially liver metastasis, leading to a poor prognosis. Metabolic remodelling and epigenetic reprogramming are two important hallmarks of malignant tumours and participate in regulating PDAC tumorigenesis and metastasis. However, the interaction between these two processes during PDAC metastasis has not been fully elucidated.MethodsWe performed metabolomics analysis to identify the critical metabolites associated with PDAC liver metastasis and focused on guanidinoacetic acid (GAA). Intracellular GAA content was significantly increased in liver metastatic PDAC cells compared to primary cancer cells in mouse xenograft tumour models. The effects of GAA supplementation and glycine amidinotransferase (GATM) knockdown on PDAC metastasis were assessed by analysing cell migration, filopodia formation, epithelial-mesenchymal transition (EMT), and in vivo metastasis in different cell and animal models. Next, ChIP‒qPCR, 3C‒qPCR, and CRISPRi/dCas9-KRAB experiments were used to validate the “epigenome-metabolome" mechanism. Finally, the results of in vitro approaches, including RNA-seq, CUT&RUN, RT‒qPCR, and western blot analyses, as well as luciferase reporter gene assay and transwell assay, revealed the GAA-c-Myc-HMGA axis and transcription-activating histone modifications reprogramming.ResultsA high level of intracellular GAA was associated with PDAC liver metastasis. GAA could promote the migration, EMT, and liver metastasis of pancreatic cancer cells in vitro and in vivo. Next, we explored the role of GATM-mediated de novo GAA synthesis in pancreatic cancer metastasis. High expression of GATM was positively correlated with advanced N stage in PDAC. Knockdown of GATM significantly reduced the intracellular level of GAA, suppressed EMT, and inhibited PDAC liver metastasis, and these effects were attenuated by GAA supplementation. Mechanistically, we identified the active enhancers looped to the Gatm gene locus that promoted GATM expression and PDAC liver metastasis. Furthermore, we found that GAA promoted cell migration and EMT by regulating c-Myc-mediated high mobility group AT-hook protein expression. Moreover, GAA increased the H3K4me3 modification level by upregulating histone methyltransferases, which induced the transcription of metastasis-related genes, including Myc.ConclusionsThese findings revealed the critical role of the epigenome-metabolome interaction in regulating PDAC liver metastasis and suggested potential therapeutic strategies targeting GAA metabolism and epigenetic regulatory mechanisms.

Joint analysis of WES and RNA-Seq identify signature genes related to metastasis in prostate cancer.

Prostate cancer (PCa) has a certain degree of heritability, and metastasis occurs as cancer progresses. However, its underlying mechanism remains largely unknown. We sequenced four cases of cancer without metastasis, four metastatic cancer, and four benign hyperplasia tissues as controls. A total of 1839 damaging mutations were identified. Pathway analysis, gene clustering, and weighted gene co-expression network analysis were employed to find characteristics associated with metastasis. Chr19 had the most mutation density and 1p36 had the highest mutation frequency across the genome. These mutations occurred in 1630 genes, including the most frequently mutated genes TTN and PLEC, and dozens of metastasis-related genes, such as FOXA1, NCOA1, CD34, and BRCA2. Ras signalling and arachidonic acid metabolism were uniquely enriched in metastatic cancer. Gene programmes 10 and 11 showed the signatures indicating the occurrence of metastasis better. A module (135 genes) was specifically associated with metastasis. Of them, 67.41% reoccurred in program 10, with 26 genes further retained as the signature genes related to PCa metastasis, including AGR3, RAPH1, SOX14, DPEP1, and UBL4A. Our study provides new molecular perspectives on PCa metastasis. The signature genes and pathways could be served as potential therapeutic targets for metastasis or cancer progression.

LINC01480 as a Prognostic Biomarker Associated With Proliferation, Migration, and Invasion of Clear Cell Renal Cell Carcinoma.

The present study aimed to identify key long noncoding RNAs (lncRNAs) involved in survival and metastasis of clear cell renal cell carcinoma (ccRCC). A systemic screening for genes with differential expression in ccRCC was performed using publicly available databases. Cox regression analysis was used to identify lncRNAs associated with survival. A competing endogenous RNAs (ceRNA) regulation network of metastasis-related lncRNAs was constructed and hub lncRNAs were identified. Functional and pathway enrichment analyses were performed to investigate the role of lncRNA in ccRCC. Cell Counting Kit-8 and Transwell assays were used to determine the levels of cell proliferation, migration, and invasion. A total of 732 lncRNAs were found to be differentially expressed between ccRCC tumors and healthy samples. Among them, 139 lncRNAs were differentially expressed between metastasis and non-metastasis ccRCC samples and 75 lncRNAs were associated with overall survival and curated metastasis-related genes. Notably, LINC01480 was identified as the hub lncRNA involved in regulation of ccRCC metastasis. Clinically, LINC01480 may act as an independent factor for poor overall survival of ccRCC patients (log-rank p<0.05). Reverse transcription-quantitative PCR analysis validated that LINC01480 was significantly up-regulated in ccRCC compared to paired normal samples (n=20). Moreover, LINC01480 silencing inhibited the proliferation, migration, and invasion of ccRCC cells in vitro. Gene set enrichment analysis showed that high LINC01480 expression may promote ccRCC metastasis through enhancing immunodeficiency and amino acid metabolism. LINC01480 may act as a novel biomarker for overall prognosis in ccRCC and exhibit potential as a therapeutic target for the treatment of metastatic ccRCC.

Identification and validation of long noncoding RNA AC083900.1 and RP11-283C24.1 for prediction of progression of osteosarcoma

BackgroundThe role of cuproptosis, an emerging cell death pathway that makes a remarkable contribution to tumor progression, remains elusive in osteosarcoma (OS), in addition to its regulator, including long-no-coding RNAs (lncRNAs) that are also a critical factor for fueling OS. MethodsTranscriptome and clinical data from 70 normal human bone tissue samples and 84 frozen clinical osteosarcoma samples were included in this study. Cuproptosis-associated lncRNAs (CRlncs) were identified through differential expression and co-expression analyses. Univariate Cox regression was performed to screen for prognostic lncRNAs, then we used least absolute shrinkage and selection operator regression to distinguish prognosis-related CRlncs (AC083900.1 and RP11-283C24.1) for modeling the CRlncs prognostic signature (CLPS) by multivariate Cox regression using the stepwise method. CLPS performance was tested by independent prognostic analyses, survival curve and receiver operating characteristic (ROC) curve. In addition, the molecular and immune mechanisms that underlie the unfavorable prognosis of CLPS-identified high-risk group were elucidated. ResultAC083900.1 and RP11–283C24.1 have been identified as the most important CRlncs for OS progression (hazard ratio: 3.498 and 2.724, respectively), and the derived CLPS demonstrated outstanding performance for the prediction of OS prognosis (AUC of 0.799 and 0.778 in the training and test sets, both adj-p < 0.05 in survival curve). As was anticipated, CLPS also outperformed a recent clinical prognostic approach that only achieved an AUC of 0.682 [metastasis]. It is notable that AC083900.1 progressed OS metastasis, evidenced by its high expression in metastatic OS, its high correlation to metastasis-related genes, and its high AUC of 0.683 for the prediction of metastasis. Mechanistically, AC083900.1 and RP11–283C24.1 dysregulated many critical biological processes regarding humoral immune response, immunoglobulin complex, etc.; while reducing the infiltration of many cytotoxic immune cells (B-cells, TIL, neutrophils, etc.). It is encouraging that BMS-509744 and KIN001–135 demonstrated high therapeutic implications for CLPS-identified high-risk OS, and the low-risk counterpart was sensitive to SB-216763. Quantitative RT-PCR analysis showed that both AC083900.1 and RP11-283C24.1 were significantly upregulated in different osteosarcoma cell lines. ConclusionThis study elucidated the roles and mechanisms of AC083900.1 and RP11-283C24.1 in the development of OS, fostering a reliable prognostic approach and treatment for OS patients.

Lymph node metastasis-related gene signature shows good performance in predicting prognosis and immune infiltration in cervical cancer.

This study aimed to construct a lymph node metastasis-related gene signature to predict prognosis and immune infiltration in patients with cervical cancer. Clinical and RNA sequencing data of 193 patients with cervical cancer, which were divided into lymph node metastasis (N1) and non-lymph node metastasis (N0) groups, were acquired from TCGA. Differentially expressed genes (DEGs) between the N1 and N0 groups were detected, and protein-protein interaction combined with LASSO analysis was conducted to further screen lymph node metastasis-related genes. Univariate and multivariate Cox regression analyses were performed to establish a predictive signature. The genetic features, potential biological behavior, and immune infiltration characteristics of the predictive signature were explored. Furthermore, the sensitivity of patients to chemotherapy drugs was estimated based on the predictive signature and the expression of TEKT2 and RPGR was investigated in the cervical cancer tissue samples. A total of 271 lymph node metastasis-related DEGs, including 100 upregulated and 171 downregulated genes, were identified. Two genes, TEKT2 and RPGR, were associated with lymph node metastasis and prognosis in cervical cancer, and were used to construct a lymph node metastasis-related predictive signature. Based on the predictive signature, patients with cervical cancer were divided into high- and low-risk groups. The high-risk group, characterized by a higher tumor mutation burden and somatic mutation rate, indicated a poor overall survival. The activation of immune infiltration and increased expression of checkpoint genes were observed in the high-risk group, indicating that they might benefit from immunotherapy. Cytarabine, FH535, and procaspase-activating compound-1 were estimated as reasonable chemotherapy options for patients in the high-risk group, whereas two taxanes and five tyrosine kinase inhibitors, including etoposide and vinorelbine, had therapeutic significance for patients in the low-risk group. The expression of TEKT2 and RPGR was significantly downregulated in cervical cancer tissues, especially in metastatic lymph node tissues. The lymph node metastasis-related predictive signature based on TEKT2 and RPGR showed good performance in predicting the survival outcomes of patients with cervical cancer. The risk score of the predictive signature was related to genetic variation and immune infiltration, which could guide immunotherapy and chemotherapy strategies.

Herniarin-loaded solid lipid nanoparticles: promising molecular mechanism and therapeutic potential against pancreatic cancer line.

The notion of cancer therapy is intrinsically subjected to multiple challenges due to the drug resistance and drug toxicity for normal tissues. Herniarin (7-methoxycoumarin) belongs to the naturally occurring aromatic phytochemicals and coumarins. Considering the boosting effect of nanocarriers in drug delivery, we investigated the proapoptotic, anti-metastatic properties, and molecular mechanism of herniarin-loaded solid lipid nanoparticles on human gastric adenocarcinoma (AGS), human colon adenocarcinoma (HT-29), human pancreatic carcinoma (Panc-1), and normal human skin fibroblast (HFF) cell lines. The cytotoxicity of synthesized nanoparticle have been tested using MTT assay. The obtained results manifested that concentration of herniarin that exerts 50% cell growth inhibition (IC50) against HT-29, AGS, and Panc-1 was calculated 138.34, 123.46, and 83.744 µL, respectively. Given that nanoparticles showed lowest IC50 values on Panc-1 cell line, these cells were selected for further analysis. The apoptosis induction and cell cycle arrest were examined performing real-time PCR, flow cytometry, and DAPI/acridine orange-propidium iodide staining. The expression of apoptosis-related genes, including BCL-2, was decreased, while the expression of CASP9, CASP8, and CASP3 was increased in response to the treatment. Moreover, the expression of metastasis-related gene (MMP2) was significantly suppressed under Her-SLN-NPs treatment. According to the flow cytometry findings, we observed no cell cycle arrest at any stage. Our funding manifested herniarin encapsulated solid lipid nanoparticles has potent therapeutic target against Panc-1 cell line.

Abstract 43: Heme Oxygenase 1 Counteracts Pro-Stemness and Pro-Invasive Effect Triggered by Communication With Bone Progenitors in Prostate Cancer Cells

Abstract Purpose: Mortality in prostate cancer (PCa) patients is mostly associated with bone metastasis and aggressive phenotypes promoted by prostate cancer stem cells (PCSCs). We have previously described that heme oxygenase 1 (HO-1), the rate-limiting enzyme in heme catabolism with antioxidant and antiinflammatory properties, presents an antitumoral role in PCa. In this work, we assessed the role of HO-1 as a modulator of stemness and metastasis associated genes in PCa cells conditioned by bone progenitor cells. Methods: An indirect transwell co-culture system of PC3 cells, a PCa cell line, with MC3T3 cells, an osteoblast precursor cell line, was developed as an in vitro model of PCa bone metastasis. Additionally, PC3 cells were pre-treated with hemin, a pharmacological HO-1 inductor. An RNA-seq was performed to analyze the transcriptome of PC3 cells. The expression of a curated list of 87 genes associated with stemness, metastasis and the STAT3 pathway, including PCSC and classic pluripotency markers, together with a gene signature previously described by our group (ADAM15, BCL2L1, LTBR, MBNL2, SPINT1), was assessed. Results were complemented with survival data of PCa patients (TCGA-PRAD, n=565). Results: Our results showed that PC3 cells co-cultured with MC3T3 cells displayed an upregulation of PCSC markers CD44, ALDH1A3 and ALDH1L2, pluripotency markers OCT4 and SOX2, and BCL2L1 and LTBR, two genes included in our signature, compared with non-co-cultured PC3 cells. Further, when comparing co-cultured PC3 cells vs. co-cultured PC3 cells pre-treated with hemin, in the latter group the expression of 71/87 genes associated with stemness, metastasis and STAT3 pathway decreased, including CD44, ALDH1A3, ALDH1L2, OCT4, MBNL2 and ADAM15. Moreover, when evaluating patients’ disease progression free survival, those with high expression of OCT4 showed a lower risk of the event. Conclusion: HO-1 expression modulates stemness and metastasis related genes in PCa, promoting a more differentiated state, counteracting the pro-stemness effect of communication with bone progenitors. This further supports the antitumoral role of HO-1 in PCa pointing out to its potential as a therapeutic target for the disease. Citation Format: Ines Achinelli, Agustina Sabater, Pablo Sanchis, Nicolás Anselmino, Sofía Lage-Vickers, Gaston Pascual, Rocio Seniuk, Pamela Freiria, Javier Cotignola, Elba Vazquez, María Sol Ruiz, Geraldine Gueron, Ayelen Toro. Heme Oxygenase 1 Counteracts Pro-Stemness and Pro-Invasive Effect Triggered by Communication With Bone Progenitors in Prostate Cancer Cells [abstract]. In: Proceedings of the 11th Annual Symposium on Global Cancer Research; Closing the Research-to-Implementation Gap; 2023 Apr 4-6. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(6_Suppl):Abstract nr 43.

Changes in the expression of cancer- and metastasis-related genes and proteins after metformin treatment under different metabolic conditions in endometrial cancer cells

Research questionHyperinsulinemia and elevated estrogen levels are known risk factors for endometrial cancer (EC) development and are associated with obesity, type 2 diabetes mellitus (T2DM), insulin resistance, among others. Metformin, an insulin-sensitizing drug, displays anti-tumor effects in cancer patients, including EC, but the mechanism of action is still not completely understood. In the present study, the effects of metformin on gene and protein expression were investigated in pre- and postmenopausal EC in vitro models in order to identify candidates that are potentially involved in the drug's anti-cancer mechanism. DesignAfter treating the cells with metformin (0.1 and 1.0 mmol/L), changes in the expression of >160 cancer- and metastasis-related gene transcripts were evaluated with RNA arrays. A total of 19 genes and 7 proteins were selected for a follow-up expression analysis, including further treatment conditions, in order to evaluate the influence of hyperinsulinemia and hyperglycemia on metformin-induced effects. ResultsChanges in the expression of BCL2L11, CDH1, CDKN1A, COL1A1, PTEN, MMP9 and TIMP2 were analyzed on gene and protein level. The consequences resulting from the detected expression changes as well as the influence of varying environmental influences are discussed in detail. With the presented data, we contribute to a better understanding of the direct anti-cancer activity of metformin as well as its underlying mechanism of action in EC cells. ConclusionsAlthough further research will be necessary to confirm the data, the influence of different environmental settings on metformin-induced effects could be highlighted with the presented data. Additionally, gene and protein regulation were not similar in the pre- and postmenopausal in vitro models.

Major regulators of the multi-step metastatic process are potential therapeutic targets for breast cancer management.

Metastasis is a multi-step process that leads to the dissemination of tumor cells to new sites and, consequently, to multi-organ neoplasia. Although most lethal breast cancer cases are related to metastasis occurrence, little is known about the dysregulation of each step, and clinicians still lack reliable therapeutic targets for metastasis impairment. To fill these gaps, we constructed and analyzed gene regulatory networks for each metastasis step (cell adhesion loss, epithelial-to-mesenchymal transition, and angiogenesis). Through topological analysis, we identified E2F1, EGR1, EZH2, JUN, TP63, and miR-200c-3p as general hub-regulators, FLI1 for cell-adhesion loss specifically, and TRIM28, TCF3, and miR-429 for angiogenesis. Applying the FANMOD algorithm, we identified 60 coherent feed-forward loops regulating metastasis-related genes associated with distant metastasis-free survival prediction. miR-139-5p, miR-200c-3p, miR-454-3p, and miR-1301-3p, among others, were the FFL's mediators. The expression of the regulators and mediators was observed to impact overall survival and to go along with metastasis occurrence. Lastly, we selected 12 key regulators and observed that they are potential therapeutic targets for canonical and candidate antineoplastics and immunomodulatory drugs, like trastuzumab, goserelin, and calcitriol. Our results highlight the relevance of miRNAs in mediating feed-forward loops and regulating the expression of metastasis-related genes. Altogether, our results contribute to understanding the multi-step metastasis complexity and identifying novel therapeutic targets and drugs for breast cancer management.

Identifying liver metastasis-related hub genes in breast cancer and characterizing SPARCL1 as a potential prognostic biomarker.

The liver is the third most common metastatic site for advanced breast cancer (BC), and liver metastases predict poor prognoses. However, the characteristic biomarkers of BC liver metastases and the biological role of secreted protein acidic and rich in cysteine-like 1 (SPARCL1) in BC remain unclear. The present study aimed to identify potential biomarkers for liver metastasis of BC and to investigate the effect of SPARCL1 on BC. The publicly available GSE124648 dataset was used to identify differentially expressed genes (DEGs) between BC and liver metastases. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to annotate these DEGs and understand the biological functions in which they are involved. A protein-protein interaction (PPI) network was constructed to identify metastasis-related hub genes and further validated in a second independent dataset (GSE58708). Clinicopathological correlation of hub gene expression in patients with BC was determined. Gene set enrichment analysis (GSEA) was performed to explore DEG-related signaling pathways. SPARCL1 expression in BC tissues and cell lines was verified by RT-qPCR. Further in vitro experiments were performed to investigate the biological functions of SPARCL1 in BC cells. We identified 332 liver metastasis-related DEGs from GSE124648 and 30 hub genes, including SPARCL1, from the PPI network. GO and KEGG enrichment analyses of liver-metastasis-related DEGs revealed several enriched terms associated with the extracellular matrix and pathways in cancer. Clinicopathological correlation analysis of SPARCL1 revealed that its expression in BC was associated with age, TNM stage, estrogen receptor status, progesterone receptor status, histological type, molecular type, and living status of patients. GSEA results suggested that low SPARCL1 expression in BC was related to the cell cycle, DNA replication, oxidative phosphorylation, and homologous recombination. Lower expression levels of SPARCL1 were detected in BC tissues compared to adjacent tissues. The in vitro experiments showed that SPARCL1 knockdown significantly increased the proliferation and migration of BC cells, whereas the proliferation and migration were suppressed after elevating the expression of SPARCL1. We identified SPARCL1 as a tumor suppressor in BC, which shows potential as a target for BC and liver metastasis therapy and diagnosis.

Genes whose expressions in the primary lung squamous cell carcinoma are able to accurately predict the progression of metastasis through lymphatic system, inferred from a bioinformatics analyses

Lymph node metastasis is the most important prognostic factor in patients with lung squamous cell carcinoma. The current findings show that lymph node metastatic tumor cells can arise by programming metastasis in primary tumor cells. Thereby, the genetic alterations responsible for the metastasis could be detected in the primary tumors. This bioinformatic study aimed to determine novel potential prognostic biomarkers shared between primary lung squamous cell tumors (without lymph node metastasis) and lymphatic metastasis, using the Cancer Genome Atlas database. Differentially expressed genes were screened by limma statistical package in R environment. Gene ontology and biological pathways analyses were performed using Enrichr for up-regulated and down-regulated genes. Also, we selected lymph node metastasis related genes among DEGs using correlation analysis between DEGs and suitable references genes for metastasis. Receiver operating characteristic curves was applied using pROC and R package ggplot2 to evaluate diagnostic value of differentially expressed genes. In addition, survival and drug resistance analyses were performed for differentially expressed genes. The miRNA-mRNA interaction networks were predicted by miRwalk and TargetScan databases and expression levels analysis of the miRNAs which were mainly targeting mRNAs was performed using UALCAN database. Protein–protein interaction network analysis and hub genes identification were performed using FunRich and Cytoscape plugin cytoHubba. In this study, a total of 397 genes were differentially expressed not only with a significant difference between N + vs. normal and N0 vs. normal but also with significant difference between N + vs. N0. Identified GO terms and biological pathways were consistent with DEGs role in the lung squamous cell carcinoma and lymph node metastasis. A significant correlation between 56 genes out of 397 differentially expressed genes with reference genes prompted them being considered for identifying lymph node metastasis of lung squamous cell carcinoma. In addition, SLC46A2, ZNF367, AC107214.1 and NCBP1 genes were identified as survival-related genes of patients with lung squamous cell carcinoma. Moreover, NEDD9, MRPL21, SNRPF, and SCLT1 genes were identified to be involved in lung squamous cell carcinoma drug sensitivity/resistance. We have identified several numbers of miRNAs and their related target genes which could emerge as potential diagnostic biomarkers. Finally, CDK1, PLK1, PCNA, ZWINT and NDC80 identified as hub genes for underlying molecular mechanisms of lung squamous cell carcinoma and lymphatic metastasis. Our study highlights new target genes according to their relation to lymph node metastasis, whose expressions in the primary lung squamous cell carcinoma are able to accurately assess the presence of lymphatic metastasis.

Cancer Research Using Crispr/Cas9 Gene Editing Technology

Gene editing technology has completely transformed the life sciences and medical treatment, because it makes precise and stable genetic alterations to genomic sequences possible. Among gene editing technologies, CRISPR system is now the most employed one. CRISPR technology is currently often used in the medical field including cancer study as well as genome editing in a number of animals. Besides, the CRISPR system has been widely used in agriculture, industry and other fields, such as crop breeding, industrial microbial design, viral nucleic acid detection, etc. In the framework of people’s knowledge of cancer research and genome editing technology, this paper focuses on the adhibition of CRISPR/Cas9 in cancer modeling, high throughput genetic analysis of tumor cell metastasis-related genes, as well as cancer treatment. It indicates that CRISPR/Cas9 techniques can be a promising tool in cancer diagnostics and therapeutics. Although CRISPR / Cas9 technology has limitations such as being off-target, this technology undoubtedly has great potential in cancer or other diseases in the future.