HOXA9-methylated DNA as a diagnostic biomarker of ovarian malignancy

Simultaneous detection of eight cancer types using a multiplex droplet digital PCR assay

DNA methylation biomarkers have emerged as promising tools for cancer detection. Common methylation patterns across tumor types allow multi-cancer detection. Droplet digital PCR (ddPCR) has gained considerable attention for methylation detection. However, multi-cancer detection using multiple targets in ddPCR has never been performed before. Therefore, we developed a multiplex ddPCR assay for multi-cancer detection. Based on previous data analyses using The Cancer Genome Atlas (TCGA), we selected differentially methylated targets for eight frequent tumor types (lung, breast, colorectal, prostate, pancreatic, head and neck, liver, and esophageal cancer). Three targets were validated using ddPCR in 103 tumor and 109 normal adjacent fresh frozen samples. Two distinct ddPCR assays were successfully developed. Output data from both assays is combined to obtain a read-out from the three targets together. Our overall ddPCR assay has a cross-validated area under the curve (cvAUC) of 0.948. Performance between distinct cancer types varies, with sensitivities ranging from 53.8% to 100% and specificities ranging from 80% to 100%. Compared to previously published single-target parameters, we show that combining targets can drastically increase sensitivity and specificity, while lowering DNA input. In conclusion, we are the first to report a multi-cancer methylation ddPCR assay, which allows for highly accurate tumor predictions.

Circulating methylated HOXA9 tumor DNA as a biomarker for mortality in recurrent breast cancer: An exploratory study

Methylated homeobox A9 (meth-HOXA9) circulating tumor DNA may be a relevant biomarker in breast cancer, although its clinical significance remains unknown. The present exploratory study aimed to investigate the association between meth-HOXA9 and mortality in patients with recurrent breast cancer. The cohort study enrolled 51 patients with breast cancer recurrence from the Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark (Vejle, Denmark). Tissue samples from primary surgery and biopsies, and plasma samples obtained at the time of recurrence were analyzed for meth-HOXA9 using a methylation-specific droplet digital polymerase chain reaction. Using Cox regression, hazard ratios (HRs) for mortality with 95% confidence intervals (CIs) comparing patients with detectable and undetectable meth-HOXA9 in both tumor tissue and plasma were estimated. Among the 50 patients with data on tumor tissue meth-HOXA9, there was no association between meth-HOXA9 in the primary tumor and mortality (HR 1.09, 95% CI 0.47-2.52). A total of 34 patients had data on plasma meth-HOXA9 at the time of recurrence. Detectable plasma meth-HOXA9 was associated with higher mortality (HR 3.95, 95% CI 1.50-10.37). Among the 20 patients with data on both plasma and metastatic tissue meth-HOXA9, meth-HOXA9 was detectable in 90% of metastases and 65% of plasma samples. In conclusion, detectable plasma meth-HOXA9 was significantly associated with higher mortality in recurrent breast cancer; therefore, plasma meth-HOXA9 may prove useful as a prognostic marker in patients with breast cancer.

LncRNA MEG3, GAS5, and HOTTIP Polymorphisms Association with Risk of Polycystic Ovary Syndrome: A Case-Control Study and Computational Analyses

As a multifactorial and endocrine disease, polycystic ovary syndrome (PCOS) affects approximately 5-20% of women worldwide. Recently, long noncoding RNAs (lncRNAs) have emerged as potent predictors of a particular phenotype in PCOS. Our preliminary study examines the link between polymorphisms in lncRNAs MEG3, HOTTIP, and GAS5 and the risk of PCOS. The present study included 200 women with PCOS and 200 healthy women. The studied variations were genotyped by applying the PCR-RFLP and the tetra-ARMS-PCR reaction) techniques. The effect of variation in lncRNA on miRNA:lncRNA interactions, lncRNA-RNA interaction network, and the impact of the variations on the splicing site were predicted using different computational databases. The codominant heterozygous (TC vs. TT) model, the dominant (TC + CC vs. TT) model, the overdominant (TT + CC vs. TC) model, the C allele of rs2023843, and the C allele of rs55829688 had a protective role against PCOS. The A allele of rs4081134 and G allele of rs7158663 of the MEG3 conferred an increased risk of PCOS by 1.37 and 1.44 folds, respectively. The interaction analysis revealed that TC/GG/AA/TC and TC/GG/GA/TC strongly decreased the risk of PCOS by 94 and 92%, respectively. Interestingly, MEG3 and HOTTIP variants can create or disrupt binding sites for several splicing factors. In our population, MEG3 rs4081134 and rs7158663, GAS5 rs55829688, and HOTTIP rs2023843 polymorphisms were associated with PCOS risk. Replication studies on larger sample sizes must be conducted to confirm these findings and investigate other potential causative factors involved in the pathophysiology of PCOS.

Advances in understanding the molecular mechanisms of borderline ovarian tumors

Borderline ovarian tumors (BOTs), which are a special type of epithelial tumor of the ovary, lie between benign and malignant tumors and have low malignant potential. Due to the fact that the early symptoms of these tumors are relatively subtle, they are not easy to diagnose clinically. This study explores advancements in clinical detection methods and provides a comprehensive overview of molecules such as cell migration factors, cell transcription factors, cell damage repair factors, cell cycle regulators, and tumor suppressor genes that are related to the development of BOTs and their related mechanisms in recent years, thus aiming to provide more sensitive, specific, and efficient differential diagnosis and treatment plans for patients to improve their prognosis and survival outcomes.

HOXA9 transcription factor is a double-edged sword: from development to cancer progression

The HOXA9 transcription factor serves as a molecular orchestrator in cancer stemness, epithelial-mesenchymal transition (EMT), metastasis, and generation of the tumor microenvironment in hematological and solid malignancies. However, the multiple modes of regulation, multifaceted functions, and context-dependent interactions responsible for the dual role of HOXA9 as an oncogene or tumor suppressor in cancer remain obscure. Hence, unravelling its molecular complexities, binding partners, and interacting signaling molecules enables us to comprehend HOXA9-mediated transcriptional programs and molecular crosstalk. However, it is imperative to understand its central role in fundamental biological processes such as embryogenesis, foetus implantation, hematopoiesis, endothelial cell proliferation, and tissue homeostasis before designing targeted therapies. Indeed, it presents an enormous challenge for clinicians to selectively target its oncogenic functions or restore tumor-suppressive role without altering normal cellular functions. In addition to its implications in cancer, the present review also focuses on the clinical applications of HOXA9 in recurrence and drug resistance, which may provide a broader understanding beyond oncology, open new avenues for clinicians for accurate diagnoses, and develop personalized treatment strategies. Furthermore, we have also discussed the existing therapeutic options and accompanying challenges in HOXA9-targeted therapies in different cancer types.

HOXA9 Regulome and Pharmacological Interventions in Leukemia

HOXA9, an important transcription factor (TF) in hematopoiesis, is aberrantly expressed in numerous cases of both acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) and is a strong indicator of poor prognosis in patients. HOXA9 is a proto-oncogene which is both sufficient and necessary for leukemia transformation. HOXA9 expression in leukemia correlates with patient survival outcomes and response to therapy. Chromosomal transformations (such as NUP98-HOXA9), mutations, epigenetic dysregulation (e.g., MLL- MENIN -LEDGF complex or DOT1L/KMT4), transcription factors (such as USF1/USF2), and noncoding RNA (such as HOTTIP and HOTAIR) regulate HOXA9 mRNA and protein during leukemia. HOXA9 regulates survival, self-renewal, and progenitor cell cycle through several of its downstream target TFs including LMO2, antiapoptotic BCL2, SOX4, and receptor tyrosine kinase FLT3 and STAT5. This dynamic and multilayered HOXA9 regulome provides new therapeutic opportunities, including inhibitors targeting DOT1L/KMT4, MENIN, NPM1, and ENL proteins. Recent findings also suggest that HOXA9 maintains leukemia by actively repressing myeloid differentiation genes. This chapter summarizes the recent advances understanding biochemical mechanisms underlying HOXA9-mediated leukemogenesis, the clinical significance of its abnormal expression, and pharmacological approaches to treat HOXA9-driven leukemia.

Methylation biomarkers for early cancer detection and diagnosis: Current and future perspectives

The increase in recent scientific studies on cancer biomarkers has brought great new insights into the field. Moreover, novel technological breakthroughs such as long read sequencing and microarrays have enabled high throughput profiling of many biomarkers, while advances in bioinformatic tools have made the possibility of developing highly reliable and accurate biomarkers a reality. These changes triggered renewed interest in biomarker research and provided tremendous opportunities for enhancing cancer management and improving early disease detection. DNA methylation alterations are known to accompany and contribute to carcinogenesis, making them promising biomarkers for cancer, namely due to their stability, frequency and accessibility in bodily fluids. The advent of newer minimally invasive experimental methods such as liquid biopsies provide the perfect setting for methylation-based biomarker development and application. Despite their huge potential, accurate and robust biomarkers for the conclusive diagnosis of most cancer types are still not routinely used, hence a strong need for sustained research in this field is still needed. This review provides a brief exposition of current methylation biomarkers for cancer diagnosis and early detection, including markers already in clinical use as well as various upcoming ones. It also outlines how recent big data and novel technologies will revolutionise the next generation of cancer tests in supplementing or replacing currently existing invasive techniques.

Role of HOXA9 in solid tumors: mechanistic insights and therapeutic potential

HOXA9 functioning as a transcription factor is one of the members of HOX gene family, which governs multiple cellular activities by facilitating cellular signal transduction. In addition to be a driver in AML which has been widely studied, the role of HOXA9 in solid tumor progression has also received increasing attention in recent years, where the aberrant expression of HOXA9 is closely associated with the prognosis of patient. This review details the signaling pathways, binding partners, post-transcriptional regulation of HOXA9, and possible inhibitors of HOXA9 in solid tumors, which provides a reference basis for further study on the role of HOXA9 in solid tumors.

Comprehensive analysis of a homeobox family gene signature in clear cell renal cell carcinoma with regard to prognosis and immune significance

The homeobox (HOX) family genes have been linked to multiple types of tumors, while their effect on malignant behaviors of clear cell renal cell carcinoma (ccRCC) and clinical significance remains largely unknown. Here, we comprehensively analyzed the expression profiles and prognostic value of HOX genes in ccRCC using datasets from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. We developed a prognostic signature comprising eight HOX genes (HOXB1, HOXA7, HOXB5, HOXD8, HOXD9, HOXB9, HOXA9, and HOXA11) for overall survival prediction in ccRCC and it allowed patients to be subdivided into high- and low-risk groups. Kaplan-Meier survival analysis in all the internal and external cohorts revealed significant difference in clinical outcome of patients in different risk groups, indicating the satisfactory predictive power of the signature. Additionally, we constructed a prognostic nomogram by integrating signature-derived risk score and clinical factors such as gender, age, T and M status, which might be helpful for clinical decision-making and designing tailored management schedules. Immunological analysis revealed that the regulatory T cells (Tregs) infiltrated differently between the two subgroups in both TCGA and ICGC cohorts. ssGSEA method showed that the enrichment scores for mast cells were significantly lower in high-risk group compared with the low-risk group, which was consistent in both TCGA and ICGC cohorts. As for the related immune function, the enrichment scores of APC co-inhibition, para-inflammation, and type II IFN response were consistently lower in high-risk group in both cohorts. Of the eight HOX genes, the mRNA and protein levels of HOXD8 were downregulated in ccRCC than that in normal tissues, and decreased expression of HOXD8 was associated with increased tumor grade and stage, and lymph node metastasis. Survival analysis revealed that lower expression of HOXD8 predicted worse overall survival in ccRCC. In conclusion, our HOX gene-based signature was a favorable indicator to predict the prognosis of ccRCC cases and associated with immune cell infiltration. HOXD8 might be a tumor suppressor gene in ccRCC and a potential predictor of tumor progression.