Assessment of DNA methylation profiling and copy number variation as indications of clonal relationship in ipsilateral and contralateral breast cancers to distinguish recurrent breast cancer from a second primary tumour

Research advances of MAL family members in tumorigenesis and tumor progression (Review)

The myelin and lymphocyte protein (MAL) family is a novel gene family first identified and characterized in 2002. This family is comprised of seven members, including MAL, MAL2, plasmolipin, MALL, myeloid differentiation‑associated marker (MYADM), MYADML2 and CMTM8, which are located on different chromosomes. In addition to exhibiting extensive activity during transcytosis, the MAL family plays a vital role in the neurological, digestive, respiratory, genitourinary and other physiological systems. Furthermore, the intimate association between MAL and the pathogenesis, progression and metastasis of malignancies, attributable to several mechanisms such as DNA methylation has also been elucidated. In the present review, an overview of the structural and functional properties of the MAL family and the latest research findings regarding the relationship between several MAL members and various cancers is provided. Furthermore, the potential clinical and scientific significance of MAL is discussed and directions for future research are summarized.

Omics Technologies Improving Breast Cancer Research and Diagnostics

Breast cancer (BC) has yielded approximately 2.26 million new cases and has caused nearly 685,000 deaths worldwide in the last two years, making it the most common diagnosed cancer type in the world. BC is an intricate ecosystem formed by both the tumor microenvironment and malignant cells, and its heterogeneity impacts the response to treatment. Biomedical research has entered the era of massive omics data thanks to the high-throughput sequencing revolution, quick progress and widespread adoption. These technologies-liquid biopsy, transcriptomics, epigenomics, proteomics, metabolomics, pharmaco-omics and artificial intelligence imaging-could help researchers and clinicians to better understand the formation and evolution of BC. This review focuses on the findings of recent multi-omics-based research that has been applied to BC research, with an introduction to every omics technique and their applications for the different BC phenotypes, biomarkers, target therapies, diagnosis, treatment and prognosis, to provide a comprehensive overview of the possibilities of BC research.

A High-Resolution Melting Analysis with an Unlabeled Probe for CRISPR/Cas9-Induced ZBED6 Knockout Pigs Detection

BACKGROUND

The zinc finger BED-type containing six knockout (ZBED6-KO) pigs were created to improve economic traits by increasing the expression of insulin-like growth factor 2. They were generated by CRISPR/CRISPR-associated protein 9 (Cas9) technology and a single-base deletion of ZBED6 was found. An efficient and rapid method was needed to detect this type of pig.

OBJECTIVE

This study aimed to develop a high-resolution melting (HRM) method to detect ZBED6-KO pigs.

METHODS

An unlabeled probe and two primers were designed to develop the HRM method. The limit of detection, specificity, and accuracy of the established method were tested by the constructed plasmid and DNA extracts of tissue specimens.

RESULTS

The limit of detection by the established method was 102 copies/µL. The HRM method with an unlabeled probe showed good specificity and high accuracy.

CONCLUSIONS

The established HRM analysis with an unlabeled probe showed it to be a highly effective, rapid, and reliable method to distinguish ZBED6-KO pigs from wild-type pigs.

HIGHLIGHTS

It is the first time that HRM analysis with an unlabeled probe has been used in the detection of genome editing pigs by the CRISPR/Cas9 technology.

The MAL Protein, an Integral Component of Specialized Membranes, in Normal Cells and Cancer

The MAL gene encodes a 17-kDa protein containing four putative transmembrane segments whose expression is restricted to human T cells, polarized epithelial cells and myelin-forming cells. The MAL protein has two unusual biochemical features. First, it has lipid-like properties that qualify it as a member of the group of proteolipid proteins. Second, it partitions selectively into detergent-insoluble membranes, which are known to be enriched in condensed cell membranes, consistent with MAL being distributed in highly ordered membranes in the cell. Since its original description more than thirty years ago, a large body of evidence has accumulated supporting a role of MAL in specialized membranes in all the cell types in which it is expressed. Here, we review the structure, expression and biochemical characteristics of MAL, and discuss the association of MAL with raft membranes and the function of MAL in polarized epithelial cells, T lymphocytes, and myelin-forming cells. The evidence that MAL is a putative receptor of the epsilon toxin of Clostridium perfringens, the expression of MAL in lymphomas, the hypermethylation of the MAL gene and subsequent loss of MAL expression in carcinomas are also presented. We propose a model of MAL as the organizer of specialized condensed membranes to make them functional, discuss the role of MAL as a tumor suppressor in carcinomas, consider its potential use as a cancer biomarker, and summarize the directions for future research.

The Clinical and Pathological Profile of BRCA1 Gene Methylated Breast Cancer Women: A Meta-Analysis

BACKGROUND

DNA aberrant hypermethylation is the major cause of transcriptional silencing of the breast cancer gene 1 (BRCA1) gene in sporadic breast cancer patients. The aim of the present meta-analysis was to analyze all available studies reporting clinical characteristics of BRCA1 gene hypermethylated breast cancer in women, and to pool the results to provide a unique clinical profile of this cancer population.

METHODS

On September 2020, a systematic literature search was performed. Data were retrieved from PubMed, MEDLINE, and Scopus by searching the terms: "BRCA*" AND "methyl*" AND "breast". All studies evaluating the association between BRCA1 methylation status and breast cancer patients' clinicopathological features were considered for inclusion.

RESULTS

465 studies were retrieved. Thirty (6.4%) studies including 3985 patients met all selection criteria. The pooled analysis data revealed a significant correlation between BRCA1 gene hypermethylation and advanced breast cancer disease stage (OR = 0.75: 95% CI: 0.58-0.97; p = 0.03, fixed effects model), lymph nodes involvement (OR = 1.22: 95% CI: 1.01-1.48; p = 0.04, fixed effects model), and pre-menopausal status (OR = 1.34: 95% CI: 1.08-1.66; p = 0.008, fixed effects model). No association could be found between BRCA1 hypermethylation and tumor histology (OR = 0.78: 95% CI: 0.59-1.03; p = 0.08, fixed effects model), tumor grading (OR = 0.78: 95% CI :0.46-1.32; p = 0.36, fixed effects model), and breast cancer molecular classification (OR = 1.59: 95% CI: 0.68-3.72; p = 0.29, random effects model).

CONCLUSIONS

hypermethylation of the BRCA1 gene significantly correlates with advanced breast cancer disease, lymph nodes involvement, and pre-menopausal cancer onset.

Mitochondrial DNA analysis efficiently contributes to the identification of metastatic contralateral breast cancers

Purpose

In daily practice, a contralateral breast cancer (CBC) is usually considered as a new independent tumor despite the indications of several studies showing that the second neoplasia may be a metastatic spread of the primary tumor. Recognition of clonal masses in the context of multiple synchronous or metachronous tumors is crucial for correct prognosis, therapeutic choice, and patient management. Mitochondrial DNA (mtDNA) sequencing shows high informative potential in the diagnosis of synchronous neoplasms, based on the fact that somatic mtDNA mutations are non-recurrent events, whereas tumors sharing them have a common origin. We here applied this technique to reveal clonality of the CBC with respect to the first tumor.

Methods

We analyzed 30 sample pairs of primary breast cancers and synchronous or metachronous CBCs with detailed clinical information available and compared standard clinico-pathological criteria with mtDNA sequencing to reveal the metastatic nature of CBCs.

Results

MtDNA analysis was informative in 23% of the cases, for which it confirmed a clonal origin of the second tumor. In addition, it allowed to solve two ambiguous cases where histopathological criteria had failed to be conclusive and to suggest a clonal origin for two additional cases that had been classified as independent by pathologists.

Conclusion

Overall, the mtDNA-based classification showed a more accurate predictive power than standard histopathology in identifying cases of metastatic rather than bilateral breast cancers in our cohort, suggesting that mtDNA sequencing may be a more precise and easy-to-use method to be introduced in daily routine to support and improve histopathological diagnoses.

Toward a holistic view of multiscale breast cancer molecular biomarkers

Powered by rapid technology developments, biomarkers become increasingly diverse, including those detected at genomic, transcriptomic, proteomic, metabolomic and cellular levels. While diverse sets of biomarkers have been utilized in breast cancer predisposition, diagnosis, prognosis, treatment and management, recent additions derived from lincRNA, circular RNA, circulating DNA together with its methylated and hydroxymethylated forms and immune signatures are likely to further transform clinical practice. Here, we take breast cancer as an example of heterogeneous diseases that require many informed decisions from treatment to care to review the huge variety of biomarkers. By assessing the advantages and limitations of modern biomarkers in diverse use scenarios, this article outlines the prospects and challenges of releasing complimentary advantages by augmentation of multiscale molecular biomarkers.

Clonal relatedness in tumour pairs of breast cancer patients

Background

Molecular classification of tumour clonality is currently not evaluated in multiple invasive breast carcinomas, despite evidence suggesting common clonal origins. There is no consensus about which type of data (e.g. copy number, mutation, histology) and especially which statistical method is most suitable to distinguish clonal recurrences from independent primary tumours.

Methods

Thirty-seven invasive breast tumour pairs were stratified according to laterality and time interval between the diagnoses of the two tumours. In a multi-omics approach, tumour clonality was analysed by integrating clinical characteristics (n = 37), DNA copy number (n = 37), DNA methylation (n = 8), gene expression microarray (n = 7), RNA sequencing (n = 3), and SNP genotyping data (n = 3). Different statistical methods, e.g. the diagnostic similarity index (SI), were used to classify the tumours as clonally related recurrences or independent primary tumours.

Results

The SI and hierarchical clustering showed similar tendencies and the highest concordance with the other methods. Concordant evidence for tumour clonality was found in 46% (17/37) of patients. Notably, no association was found between the current clinical guidelines and molecular tumour features.

Conclusions

A more accurate classification of clonal relatedness between multiple breast tumours may help to mitigate treatment failure and relapse by integrating tumour-associated molecular features, clinical parameters, and statistical methods. Guidelines need to be defined with exact thresholds to standardise clonality testing in a routine diagnostic setting.

Electronic supplementary material

The online version of this article (10.1186/s13058-018-1022-y) contains supplementary material, which is available to authorized users.

Impact of RASSF1A gene methylation on the metastatic axillary nodal status in breast cancer patients

Hypermethylation of CpG islands is a hallmark of cancer and occurs at an early stage in breast tumorigenesis. To gain insight into the epigenetic switches that may promote and/or contribute to the initial neoplastic events during breast carcinogenesis, the present study focused on the DNA methylation profile of invasive breast carcinoma. The aim of the study was to evaluate the prognostic significance of Ras association domain family 1 isoform A (RASSF1A) promoter methylation status in operable breast cancer, and to analyze the utility of this biomarker regarding its association with metastatic and nonmetastatic axillary nodal status. For this purpose, formalin-fixed, paraffin-embedded tissue specimens from 116 breast cancer patients with known axillary nodal status were subjected to assessment of RASSF1A promoter methylation status by methylation-specific polymerase chain reaction (MSP) and methylation-sensitive high-resolution melting assay, and the results were subsequently validated by bisulfite sequencing. A multinomial logistic regression model was used to model the dependence of distinct levels of methylation status of the RASSF1A promoter on the nodal status. Promoter region CpG hypermethylation was identified by MSP in 97 (83.6%) of 116 primary breast tumors, while hypermethylation of RASSF1A was confirmed by MS-HRM in 107 (92.2%) of 116 cases of breast cancer. Based on the results of the multinomial logistic regression model, there was no significant difference between the frequency of RASSF1A promoter methylation and axillary lymph node status of patients in general. However, upon adjustment of pN stage, an association was identified between pN0 lymph node-negative status (without axillary metastases) and percentage of RASSF1A methylation in two groups of heterogeneous methylated alleles with ≤50% methylated (P<0.05) and >50% methylated alleles (P<0.0001). If a patients' nodal status changes from pN- to pN+ then the risk of having >50% methylated alleles increases by 7%. The present study revealed a specific phenomenon, suggesting that the presence of heterogeneous methylated alleles in the RASSF1A gene is significantly associated with lymph node-negative status in breast cancer patients. Furthermore, greater significance with negative axillary nodal status was observed with a higher level of heterogeneous methylated alleles in the RASSF1A gene.

Hypermethylated APC in serous carcinoma based on a meta-analysis of ovarian cancer

Background

The reduced expression of the Adenomatous polyposis coli (APC) gene, a tumor suppressor gene, through promoter hypermethylation has been reported to play a key role in the carcinogenesis. However, the correlation between APC promoter hypermethylation and ovarian cancer (OC) remains to be clarified.

Methods

A comprehensive literature search was carried out in related research databases. The overall odds ratio (OR) and corresponding 95 % confidence interval (CI) were used to evaluate the effects of APC promoter hypermethylation on OC and clinicopathological characteristics.

Results

Ultimately, 12 eligible studies were used in our study, including 806 OC samples, 429 normal controls, 109 benign lesions and 75 LMP samples. The pooled OR showed that APC promoter hypermethylation was significantly higher in OC than in normal and benign controls (OR = 6.18 and OR = 3.26, respectively). No significant correlation was observed between OC and low malignant potential (LMP) tumors (P = 0.436). In the comparison of OC and normal controls, subgroup analysis based on race showed that the overall OR of APC promoter hypermethylation was significant and similar in Asians and Caucasians (OR = 8.34 and OR = 5.39, respectively). A subgroup analysis based on sample type found that the pooled OR was significantly higher in blood than in tissue (OR = 18.71 and OR = 5.74, respectively). A significant association was not observed between APC promoter hypermethylation and tumor grade or tumor stage. The pooled OR indicated that APC promoter hypermethylation was significantly lower in serous carcinoma than in non-serous carcinoma (OR = 0.56, P = 0.02). No obvious publication bias was detected by Egger’s test (all P > 0.05).

Conclusions

APC promoter hypermethylation may be linked to the increased risk of OC. It was associated with histological type, but not with tumor grade or tumor stage. Moreover, hypermethylated APC may be a noninvasive biomarker using blood samples. Future studies are required to validate these results.