Involvement of hedgehog pathway in early onset, aggressive molecular subtypes and metastatic potential of breast cancer

Background Dysregulation of hedgehog pathway is observed in numerous cancers. Relevance of hedgehog pathway genes in cancer cohort and inhibition of its downstream effector (GLI1) towards metastasis in cell lines are explored in the study. Method One hundred fifty fresh tumours of breast cancer patients were collected for the study. Based on differential expression, panel of 6 key regulators of the pathway (SHH, DHH, IHH, PTCH1, SMO and GLI1) in microarray datasets were identified. Expressional profiles of aforementioned genes were later correlated with clinico-pathological parameters in Pakistani breast cancer cohort at transcript and protein levels. In addition, GLI1 over expressing breast cancer cell lines (MDA-MB-231 and MCF-7) were treated with GANT61 to explore its probable effects on metastasis. Result SHH, DHH, PTCH1 and GLI1 were significantly over-expressed in tumours as compared with respective normal mammary tissues. A significant correlation of SHH, DHH and GLI1 expression with advanced tumour size, stages, grades, nodal involvement and distant metastasis was observed (p < 0.05). Over-expression of SHH, DHH and GLI1 was significantly related with patients having early onset and pre-menopausal status. Of note, hedgehog pathway was frequently up regulated in luminal B and triple negative breast cancer affected women. In addition, positive correlations were observed among aforementioned members of pathway and Ki67 (r-value: 0.63–0.78) emphasizing their role towards disease progression. Exposure of GANT61 (inhibitor for GLI1) significantly restricted cell proliferation, reduced cell motility and invasion. Conclusion Role of activated hedgehog pathway in breast cancer metastasis provides a novel target for cancer therapy against aggressive cancer subtypes

Role of Plexin B1 in a breast cancer cohort of Pakistani patients and its contribution towards cancer metastasis as indicated by an in vitro model

Background/Aim: In the current study, the role of plexin B1 in breast cancer metastasis was explored. Materials and Methods: Freshly-excised tumours along with background tissues of affected patients (n=121) were collected from Pakistani hospitals and processed for RNA isolation and cDNA synthesis. Using quantitative polymerase chain reaction, expression of plexin B1 was evaluated and correlated with clinicopathological parameters. Furthermore, involvement of plexin B1 in metastasis was explored by generating gene knockdown in MDA-MB-231 and MCF-7 breast cancer cells. Results: Poorly-differentiated tumours showed low plexin B1 expression in comparison to well-differentiated ones. Similarly, reduced plexin B1 expression correlated positively with advanced tumour stage and metastasis. Loss of plexin B1 significantly reduced cell adhesion in comparison with respective control cell lines (p<0.05). Knockdown of plexin B1 in MDA-MB-231 cells led to a remarkable increase in cell motility in contrast to the respective control. Conclusion: Loss of plexin B1 expression might play a pivotal role in enhancing the metastatic potential of breast cancer cell

Transcriptional profiling of sonic hedgehog in a prospective cohort of breast cancer in a Pakistani population

Background/Aim: Constitutive activation of Sonic hedgehog (SHH) has been observed in different types of cancers. In the present study, expressional profiling of SHH in a breast cancer cohort (n=150) of a Pakistani population and its association with different molecular subtypes have been explored. Materials and Methods: qRT-PCR and IHC were performed for expression analysis of SHH and its association with ER, PR, HER2 and Ki-67 were also statistically analyzed. Results: A significant over-expression of SHH was observed in tumor tissues in comparison to their respective controls (p<0.0001). A strong positive correlation was seen between SHH and proliferation marker (r=0.635, p=0). SHH expression was significantly high among patients with advanced tumor grade, stage, nodal involvement and metastasis. Furthermore, both luminal-B and triple-negative subtypes of cohort showed increased expression of SHH. Conclusion: Based on these findings, SHH may be used as a potential biomarker for breast carcinogenesis

Expression of HK2, PKM2, and PFKM Is Associated with Metastasis and Late Disease Onset in Breast Cancer Patients

The reprogramming of energy metabolism is one of the hallmarks of cancer and is crucial for tumor progression. Altered aerobic glycolysis is a well-known characteristic of cancer cell metabolism. In the present study, the expression profiles of key metabolic genes (HK2, PFKM, and PKM2) were assessed in the breast cancer cohort of Pakistan using quantitative polymerase chain reaction (qPCR) and IHC. Expression patterns were correlated with molecular subtypes and clinical parameters in the patients. A significant upregulation of key glycolytic genes was observed in tumor samples in comparison to their adjacent controls (p &lt; 0.0001). The expression of the studied glycolytic genes was significantly increased in late clinical stages, positive nodal involvement, and distant metastasis (p &lt; 0.05). HK2 and PKM2 were found to be upregulated in luminal B, whereas PFKM was overexpressed in the luminal A subtype of breast cancer. The genes were positively correlated with the proliferation marker Ki67 (p &lt; 0.001). Moreover, moderate positive linear correlations between HK2 and PKM2 (r = 0.476), HK2 and PFKM (r = 0.473), and PKM2 and PFKM (r = 0.501) were also observed (p &lt; 0.01). These findings validate that the key regulatory genes in glycolysis can serve as potential biomarkers and/or molecular targets for breast cancer management. However, the clinical significance of these molecules needs to be further validated through in vitro and in vivo experiments

Effect of MHC Linked 7-Gene Signature on Delayed Hepatocellular Carcinoma Recurrence

Dysregulated immune response significantly affects hepatocellular carcinoma’s (HCC) prognosis. Human Leukocyte Antigens are key in devising immune responses against HCC. Here, we investigated how HLAs modulate HCC development at the transcriptomic level. RNA-seq data of 576 patients from two independent cohorts was retrieved. The clinicopathological relevance of all HLA genes was investigated using Fisher-Exact, correlation, and Kaplan–Meier and cox regression survival tests. Clustering of ~800 immune-related genes against HLAs was completed using a ward-agglomerative method. Networks were generated using 40 HLA associated unique genes and hub genes were investigated. HLAs including HLA-DMA, HLA-DMB, HLA-DOA and HLA-DRB6 were associated with delayed recurrence in both discovery (204 HCC cases) and validation (372 HCC cases) cohorts. Clustering analyses revealed 40 genes associated with these four HLAs in both cohorts. A set of seven genes (NCF4, TYROBP, LCP2, ZAP70, PTPRC, FYN and WAS) was found co-expressed at gene–gene interaction level in both cohorts. Furthermore, survival analysis revealed seven HLA-linked genes as predictors of delayed recurrence. Multivariate analysis also predicted that mean expression of 7-gene is an independent predictor of delayed recurrence in both cohorts. We conclude that the expression of 7-gene signature may lead to improved patient prognosis. Further studies are required for consideration in clinical practice

Targeted inhibition of fibroblast growth factor receptor 1-GLI through AZD4547 and GANT61 modulates breast cancer progression

The underlying mechanism of fibroblast growth factor receptor 1 (FGFR1) mediated carcinogenesis is still not fully understood. For instance, FGFR1 upregulation leads to endocrine therapy resistance in breast cancer patients. The current study aimed to identify FGFR1-linked genes to devise improved therapeutic strategies. RNA-seq and microarray expression data of 1,425 breast cancer patients from two independent cohorts were downloaded for the analysis. Gene Set Enrichment Analysis (GSEA) was performed to identify differentially expressed pathways associated with FGFR1 expression. Validation was done using 150 fresh tumor biopsy samples of breast cancer patients. The clinical relevance of mRNA and protein expression of FGFR1 and its associated genes were also evaluated in mouse embryonic fibroblasts (MEFs) and breast cancer cell line (MDA-MB-231). Furthermore, MDA-MB-231 cell line was treated with AZD4547 and GANT61 to identify the probable role of FGFR1 and its associated genes on cells motility and invasion. According to GSEA results, SHH pathway genes were significantly upregulated in FGFR1 patients in both discovery cohorts of breast cancer. Statistical analyses using both discovery cohorts and 150 fresh biopsy samples revealed strong association of FGFR1 and GLI1, a member of SHH pathway. The increase in the expression of these molecules was associated with poor prognosis, lymph node involvement, late stage, and metastasis. Combined exposures to AZD4547 (FGFR1 inhibitor) and GANT61 (GLI1 inhibitor) significantly reduced cell proliferation, cell motility, and invasion, suggesting molecular crosstalk in breast cancer progression and metastasis. A strong positive feedback mechanism between FGFR1-GLI1 axis was observed, which significantly increased cell proliferation and metastasis. Targeting FGFR1-GLI1 simultaneously will significantly improve the prognosis of breast cancer in patients