HGH1 and the immune landscape: a novel prognostic marker for immune-desert tumor microenvironment identification and immunotherapy outcome prediction in human cancers

HGH1 Promotes Breast Cancer Progression Through the PI3K/AKT/NF-κB Signaling Pathway: Potential Role for Prognosis and Targeted Therapy

Introduction

Previous studies have shown that the HGH1 gene is associated with poor prognosis in a variety of cancers, but its specific function and molecular mechanism in the pathological process of breast cancer remain unclear.

Methods

The relationship between expression of HGH1 and overall survival in BC patients was analyzed. Enrichment analysis of HGH1-related signaling pathways and immune infiltration was performed. BC cell lines with overexpression and knockdown of HGH1 gene were constructed to tested the proliferation, migration, invasion ability and cell apoptosis. Detected the expression of PI3K/AKT pathway in BC cells and treated it with PI3K inhibitor. The effect of HGH1 on breast cancer in vivo was observed by tumor xenograft experiment.

Results

The expression of HGH1 is significantly increased in breast cancer and related to poor prognosis. The high expression of HGH1 is related to the PI3K-Akt signaling pathway, cell cycle, cell senescence, P53 signaling pathway. Overexpression of HGH1 promotes the proliferation, migration, and invasion, and inhibits apoptosis, while its knockdown yields opposite effects. HGH1 promoted the growth of BC cells by activating the PI3K/AKT/NF-κB signaling pathway, and the use of PI3K inhibitors could attenuate the promoting effect. In vivo experiments confirmed that HGH1 promoted breast cancer growth.

Conclusion

HGH1 promotes the growth of BC cells by activating the PI3K/AKT/NF-κB signaling pathway. HGH1 may become a new indicator for evaluating the poor prognosis of BC patients and serve as a potential diagnostic biomarker and therapeutic target for breast cancer.

Growth Hormone Action as a Target in Cancer: Significance, Mechanisms, and Possible Therapies

Growth hormone (GH) is a pituitary-derived endocrine hormone required for normal postnatal growth and development. Hypo- or hypersecretion of endocrine GH results in 2 pathologic conditions, namely GH deficiency (GHD) and acromegaly. Additionally, GH is also produced in nonpituitary and tumoral tissues, where it acts rather as a cellular growth factor with an autocrine/paracrine mode of action. An increasingly persuasive and large body of evidence over the last 70 years concurs that GH action is implicit in escalating several cancer-associated events, locally and systemically. This pleiotropy of GH's effects is puzzling, but the association with cancer risk automatically raises a concern for patients with acromegaly and for individuals treated with GH. By careful assessment of the available knowledge on the fundamental concepts of cancer, suggestions from epidemiological and clinical studies, and the evidence from specific reports, in this review we aimed to help clarify the distinction of endocrine vs autocrine/paracrine GH in promoting cancer and to reconcile the discrepancies between experimental and clinical data. Along this discourse, we critically weigh the targetability of GH action in cancer-first by detailing the molecular mechanisms which posit GH as a critical node in tumor circuitry; and second, by enumerating the currently available therapeutic options targeting GH action. On the basis of our discussion, we infer that a targeted intervention on GH action in the appropriate patient population can benefit a sizable subset of current cancer prognoses.

The role of HGH1 in breast cancer prognosis: a study on immune response and cell cycle

BACKGROUND

Breast cancer (BRCA) remains to be among the main causes of cancer-associated mortality in women globally. HGH1 homolog (HGH1) has been reported to be associated with tumor immunity. However, the function of HGH1 in BRCA remains unclear. Therefore, the present study examined the potential role of HGH1 in BRCA.

METHODS

The Cancer Genome Atlas (TCGA) databases and Gene Expression Omnibus (GEO) were used to obtain RNA-seq data for BRCA. A protein localization of HGH1 was determined by using the Human Protein Atlas (HPA), and immunohistochemistry (IHC) staining revealed an upregulation in the expression of HGH1 in clinical BRCA tissues. Xenograft mice were used to test tumor growth and HGH1 expression in breast cancer cells. The protein interaction information of HGH1 was analyzed using the GeneMANIA website. Based on univariate Cox regression and Kaplan-Meier methods, we evaluated the role of HGH1 in BRCA prognosis. HGH1-related differentially expressed genes were analyzed using GO, KEGG, and GSEA. We also examined the relationship between HGH1 expression, immune checkpoints, and immune infiltration. CCK-8, EdU, and colony formation assays were used to measure cell proliferation, and western blot analysis was used to evaluate HGH1's role in BRCA.

RESULTS

IHC results showed that the expression of HGH1 was significantly upregulated in BRCA tissues compared to normal tissues. High levels of HGH1 expression was associated with worse clinical features and a worse prognosis. HGH1 expression was an independent predictor of BRCA outcomes in both univariate and multivariate analyses. Functionally, western blot analysis showed that HGH1 is implicated in cell cycle. As well, knocking down HGH1 significantly reduced BRCA cells' proliferative abilities. Crucially, HGH1 expression levels were positively correlated with Th2 cell infiltration and negatively correlated with Tcm cell infiltration.

CONCLUSION

Biomarkers such as HGH1 can reliably predict prognosis in BRCA patients.

[Surgical and pathological consequences of preoperative immunotherapy in onco-urology]

INTRODUCTION

Patients treated with immunotherapy might need surgical procedures in addition to the medical treatment. The main indications are cytoreductive nephrectomy, cystectomy (as part of clinical trials) and metastasis removal in some oligometastatic patients. This study aims to assess the feasibility of surgery for patients treated by immunotherapy and describes the histological modifications found in the pathological analysis.

MATERIAL AND METHODS

We conducted a retrospective, monocentric study. We included all patients operated for a urologic cancer and previously treated with systemic immunotherapy between February 2018 and June 2022. We compared this population with a control group of patients treated with surgery without having previous immunotherapy. Patients were compared according to the cancer type, age and sex. We compared perioperative complications. We performed an analysis for evaluation of the peri-tumoral inflammatory infiltration.

RESULTS

We included 50 patients in this study. The two groups were comparable in age (63.7 vs. 63.3years old, P=0.95) and sex (4 and 6 women in the first and second group). The peroperatory complication rate was comparable (20% vs. 16%, P=1). The mean bleeding volume was comparable (664 vs. 629mL; P=0.89). The postoperative complication rate (48% vs. 56%; P=0.78) and their grade (Clavien III-IV 8% vs. 24%; P=0.24) were comparable. The anatomopathological analysis described the same rate and intensity of peri-tumoral inflammatory infiltrate (96% vs. 96%; P=1).

CONCLUSIONS

Preoperative immunotherapy does not appear to be associated with increased surgical difficulty and perioperative complications. Blind histological analysis of the surgical specimens did not reveal any specific features related to pre operative immunotherapy.

LEVEL OF EVIDENCE

Grade 3 HAS.

HPV, HBV, and HIV-1 Viral Integration Site Mapping: A Streamlined Workflow from NGS to Genomic Insights of Carcinogenesis

Viral integration within the host genome plays a pivotal role in carcinogenesis. Various disruptive mechanisms are involved, leading to genomic instability, mutations, and DNA damage. With next-generation sequencing (NGS), we can now precisely identify viral and host genomic breakpoints and chimeric sequences, which are useful for integration site analysis. In this study, we evaluated a commercial hybrid capture NGS panel specifically designed for detecting three key viruses: HPV, HBV, and HIV-1. We also tested workflows for Viral Hybrid Capture (VHC) and Viral Integration Site (VIS) analysis, leveraging customized viral databases in CLC Microbial Genomics. By analyzing sequenced data from virally infected cancer cell lines (including SiHa, HeLa, CaSki, C-33A, DoTc2, 2A3, SCC154 for HPV; 3B2, SNU-182 for HBV; and ACH-2 for HIV-1), we precisely pinpointed viral integration sites. The workflow also highlighted disrupted and neighboring human genes that may play a crucial role in tumor development. Our results included informative virus-host read mappings, genomic breakpoints, and integration circular plots. These visual representations enhance our understanding of the integration process. In conclusion, our seamless end-to-end workflow bridges the gap in understanding viral contributions to cancer development, paving the way for improved diagnostics and treatment strategies.

CDK16 as a potential prognostic biomarker correlated with an immunosuppressive tumor microenvironment and benefits in enhancing the effectiveness of immunotherapy in human cancers

BACKGROUND

Cyclin-Dependent Kinase 16 (CDK16) plays significant biological roles in various diseases. Nonetheless, its function in different cancer types and its relationship with the Tumor Immune Microenvironment (TIME) are still not well-understood.

METHODS

We analyzed the expression profile, genetic alterations, clinical features, and prognostic value of CDK16 in pan-cancer using data from The Cancer Genome Atlas, Genotype-Tissue Expression databases, and in vitro experiments. Additionally, the TIMER2 and ImmuCellAI databases were utilized to assess the correlation between CDK16 expression and immune cell infiltration levels. Finally, we examined the correlation between CDK16 and the response to immunotherapy using collected immunotherapy data.

RESULTS

CDK16 is notably overexpressed in pan-cancer and is a risk factor for poor prognosis in various cancers. Our findings reveal that CDK16 regulates not only cell cycle-related functions to promote cell proliferation but also the autoimmunity-related functions of the innate and adaptive immune systems, along with other immune-related signaling pathways. Moreover, CDK16 overexpression contributes to an immunosuppressive tumor microenvironment, extensively suppressing immune-related features such as the expression of immune-related genes and pathways, as well as the count of immune-infiltrating cells. Our analysis indicated that individuals with low CDK16 expression showed higher response rates to immune checkpoint inhibitors and longer overall survival compared to those with high CDK16 expression.

CONCLUSIONS

This study establishes CDK16 as a potential biomarker for predicting poor prognosis in a wide range of cancers. Its role in shaping the immunosuppressive tumor microenvironment and influencing the efficacy of immunotherapy highlights the urgent need for developing targeted therapies against CDK16, offering new avenues for cancer treatment and management.