Gene promoter hypermethylation is found in sentinel lymph nodes of breast cancer patients, in samples identified as positive by one-step nucleic acid amplification of cytokeratin 19 mRNA

Intraoperative diagnosis of early lymphatic metastasis using neodymium-based rare-earth NIR-II fluorescence nanoprobe

The high mortality of breast cancer is closely related to lymph node (LN) metastasis. Sentinel LNs (SLNs) are the first station where tumor cells metastasize through the lymphatic system. As such, achieving precise diagnosis of the early metastatic status of SLNs during surgery is of paramount importance for precision therapy of breast cancer. While invasive SLNs biopsy is the gold standard for evaluating the status of SLNs, its use is often time-consuming and may increase the risk of operation. It is still challenging to develop a means for rapid SLN metastasis diagnosis. Herein, NaGdF4:5%Nd@NaLuF4 rare earth nanoparticles (Gd:Nd-RENPs) with near-infrared-II (NIR-II) fluorescence and magnetic resonance imaging (MRI) properties were fabricated. With the nanoprobe, metastatic SLNs and lymph vessels (LVs) rapidly brighten and can be observed by the NIR-II imaging system, which is totally different from normal LNs and LVs. The remarkable contrast observed via NIR-II imaging serves to swiftly delineate metastatic SLNs from normal ones, subsequently guiding precise surgical resection of metastatic LNs in just 10 minutes. Furthermore, the consistency between the results obtained via MRI and NIR-II imaging further validates the dependability of this nanoprobe as a diagnostic tool for metastatic SLNs. Additionally, the Gd:Nd-RENPs exhibited good biocompatibility in vitro and in vivo. In this study, we demonstrated the advantages and prospects of NIR-II imaging for intraoperative early SLN metastasis assessment and shed light on the potential of the dual-modal Gd:Nd-RENPs as a nanoprobe.

One Step Nucleic Acid Amplification (OSNA) Lysate Samples Are Suitable to Establish a Transcriptional Metastatic Signature in Patients with Early Stage Hormone Receptors-Positive Breast Cancer

The One Step Nucleic Acid Amplification (OSNA) is being adopted worldwide for sentinel lymph nodes (SLNs) staging in breast cancer (BC). As major disadvantage, OSNA precludes prognostic information based on structural evaluation of SLNs. Our aim is to identify biomarkers related to tumor-microenvironment interplay exploring gene expression data from the OSNA remaining lysate. This study included 32 patients with early stage hormone receptors-positive BC. Remaining OSNA lysates were prepared for targeted RNA-sequencing analysis. Identification of differentially expressed genes (DEGs) was performed by DESeq2 in R and data analysis in STATA. The results show that, in metastatic SLNs, several genes were upregulated: KRT7, VTCN1, CD44, GATA3, ALOX15B, RORC, NECTIN2, LRG1, CD276, FOXM1 and IGF1R. Hierarchical clustering analysis revealed three different clusters. The identified DEGs codify proteins mainly involved in cancer aggressiveness and with impact in immune response. The overexpression of the immune suppressive genes VTCN1 and CD276 may explain that no direct evidence of activation of immune response in metastatic SLNs was found. We show that OSNA results may be improved incorporating microenvironment-related biomarkers that may be useful in the future for prognosis stratification and immunotherapy selection. As OSNA assay is being implemented for SLNs staging in other cancers, this approach could also have a wider utility.

A new application to one-step nucleic acid amplification-discarded sample in breast cancer: Preliminary results

The one-step nucleic acid amplification (OSNA) assay is a molecular method used for detecting breast cancer (BC) metastasis in sentinel lymph nodes (SLNs). However, this method has a major disadvantage, since it prevents tissue structure analysis, while only one molecular marker can be evaluated, namely cytokeratin 19 mRNA. The aim of the present study was to evaluate whether an OSNA-discarded sample could be suitable for the gene expression analysis of the SLN microenvironment. The remaining intermediate phase of the centrifuged SLN homogenate obtained from the OSNA assay of samples from two patients with BC was used for mRNA extraction. Subsequently, the expression of five genes, namely forkhead box, cluster of differentiation 4 and three control genes, was determined by reverse transcription-quantitative PCR analysis. The results demonstrated that high-quality RNA was extracted. Therefore, this RNA may be used for gene expression analyses to predict novel molecular biomarkers associated with immuno-inflammatory microenvironment.

A Risk Score System Based on the Methylation Levels of 15 RNAs in Breast Cancer

Background: Breast cancer (BC) occurs in the epithelial tissues of the breast gland, which is the most common cancer in women. This study is implemented to construct a risk score system for BC. Methods: The methylation data of BC from The Cancer Genome Atlas database (the training set) and GSE37754 from Gene Expression Omnibus database (the validation set) were downloaded. The differentially methylated RNAs (DMRs) between BC and normal samples were screened by limma package, and the correlations between the expression levels and methylation levels of the DMRs were analyzed to calculate their Pearson correlation coefficients (PCCs) using the cor.test function. To build the risk score system, the optimal RNAs were identified by penalized package. Subsequently, the nomogram survival model was established using the rms package. The lncRNA-mRNA comethylation network was constructed by Cytoscape software, and then enrichment analysis was performed using DAVID tool. Results: From the 1170 DMRs between BC and normal samples, 800 DMRs with significant negative PCCs were screened. For building the risk score system, the 15 optimal RNAs were selected. Afterward, the nomogram survival model based on four independent clinical prognostic factors (including age, radiation therapy, tumor recurrence, and RS model status) was constructed. In the comethylation network, the long noncoding RNA (lncRNA) PRNT was comethylated with FAM19A5 and RBM24. For the mRNAs in the comethylation network, angiogenesis and pathways in cancer were enriched. Conclusion: The risk score system and the nomogram survival model might be of great importance for the prognosis prediction of BC patients.

Pivotal roles of protein 4.1B/DAL‑1, a FERM‑domain containing protein, in tumor progression (Review)

Protein 4.1B/DAL‑1, encoded by erythrocyte membrane protein band 4.1‑like 3 (EPB41L3), belongs to the protein 4.1 superfamily, a group of proteins that share a conserved four.one‑ezrin‑radixin‑moesin (FERM) domain. Protein 4.1B/DAL‑1 serves a crucial role in cytoskeletal organization and a number of processes through multiple interactions with membrane proteins via its FERM, spectrin‑actin‑binding and C‑terminal domains. A number of studies have indicated that a loss of EPB41L3 expression is commonly observed in lung cancer, breast cancer, esophageal squamous cell carcinoma and meningiomas. DNA methylation and a loss of heterozygosity have been reported to contribute to the downregulation of EPB41L3. To date, the biological functions of protein 4.1B/DAL‑1 in carcinogenesis remain unknown. The present review summarizes the current understanding of the role of protein 4.1B/DAL‑1 in cancer and highlights its potential as a cancer diagnostic and prognostic biomarker in cancer therapeutics.

Association Between RASSF2 Methylation and Gastric Cancer: A PRISMA-Compliant Systematic Review and Meta-Analysis

RASSF2 is a tumor suppressor gene closely related to gastric cancer. This meta-analysis was designed to assess the quality in the previous studies and establish the value of RASSF2 methylation in the prediction and prognosis of gastric cancer. The eligible literatures with publication deadline of May 3, 2019 were collected from PubMed, EMBASE, CNKI, Wanfang, and CNVIP databases. The correlation between RASSF2 methylation level and gastric cancer was estimated by odds ratio and 95% confidence interval (OR and 95% CI) values. A total of eight articles were included in the study. A total of 517 gastric cancer tissue samples and 517 adjacent nontumor tissue samples were included. The results of the analysis showed that RASSF2 had a significantly higher level of methylation in gastric cancer (OR = 17.56, 95% CI = 7.11-43.35, p-value = 0.009). Meanwhile, we tested whether there was association of RASSF2 methylation with tumor metastasis, and we also analyzed whether there was a gender difference in RASSF2 methylation. However, our results showed no statistical significance of the two aforementioned tests (p > 0.1). Our study suggested that RASSF2 methylation could predict the risk of gastric cancer. However, it might not be feasible for the prediction of tumor metastasis.

Detection of lymph node metastasis in lung cancer patients using a one-step nucleic acid amplification assay: a single-centre prospective study

BACKGROUND

The use of one-step nucleic acid amplification (OSNA) allows for lymph node (LN) metastasis to be detected rapidly and accurately. We conducted a prospective single-centre clinical trial to evaluate OSNA assay in detecting LN metastasis of lung cancer.

PATIENTS AND METHODS

A total of 705 LNs from 160 patients with clinical stage IA to IVA lung cancer were included in this study. The LNs were divided and submitted to routine histological diagnosis and OSNA assay and the results were compared. We also examined keratin 19 expression of different histological types lung primary tumours.

RESULTS

When the cut-off value was set to 250 copies/µl, the concordance rate between the two methods was 96.17% and the sensitivity 97.14%. Discordant results were observed in 27 LNs of 21 patients. Most of these discordant results were molecular micrometastasis expressing a very low number of copies with negative histology. Most thoracic tumours were positive for keratin 19.

CONCLUSIONS

Our data show that the OSNA assay might be a useful and sensitive method to diagnose LN metastasis in lung cancer and could be applied to intraoperative decision-making in personalised lung cancer surgery based on LN status and a more accurate staging of patients.

Drainage of Tumor-Derived DNA into Sentinel Lymph Nodes in Breast Cancer Patients

Circulating tumor DNA (ctDNA) is released from cancer cells by apoptosis or other mechanisms, and as tumor tissue contains both blood and lymphatic vessels, ctDNA can spread to local lymph nodes (LNs). We aimed to detect the tumor-derived free DNA in metastasis-free LNs in patients with breast cancers harboring the PIK3CA-H1047R mutation. One hundred twenty-three patients were evaluated and the PIK3CA-H1047R mutation was assayed in sentinel LNs (SLNs), non-SLNs without metastasis, and serum by digital PCR. The mutant DNA was more frequent in metastasis-free SLNs (21.6%) than in metastasis-free non-SLNs (8.6%; P = 0.038), and patients with mutation-positive SLNs were more likely to be positive for serum mutant DNA. Apoptosis in primary breast tumors was determined by TUNEL assay. The apoptotic index was significantly higher (P = 0.003) in patients with mutation-positive SLNs without metastasis (mean, 1.17%) than those with mutation-negative SLNs without metastasis (mean, 0.79%). It was also significantly higher (P = 0.006) in those with mutation-positive serum (mean, 1.41%) than in those with mutation-negative serum (mean, 0.86%). Furthermore, fragment size of PIK3CA-H1047R mutant DNA in metastatic-free SLN lysate used for the one-step nucleic acid amplification (OSNA) assay was short (<500 bp). These results support the theory that DNA is released from the primary tumor via apoptotic fragmentation. In conclusion, ctDNA is detectable in metastasis-free LNs and significantly more frequent in SLNs from patients with breast tumors harboring a high apoptotic index, consistent with drainage of ctDNA from apoptotic primary tumor cells into SLNs.

Intraoperative prediction of the two axillary lymph node macrometastases threshold in patients with breast cancer using a one-step nucleic acid cytokeratin-19 amplification assay

The aim of the present study was to assess the sensitivity, specificity and practicality of using a one-step nucleic acid amplification (OSNA) assay during breast cancer staging surgery to predict and discriminate between at least 2 involved nodes and more than 2 involved nodes and facilitate the decision to provide axillary conservation in the presence of a low total axillary node tumour burden. A total of 700 consecutive patients, not treated with neo-adjuvant chemotherapy, received intraoperative sentinel lymph node (SLN) analysis using OSNA for cT1-T3 cN0 invasive breast cancer. Patients with at least one macrometastasis on whole-node SLN analysis underwent axillary lymph node dissection (ALND). The total tumour load (TTL) of the macrometastatic SLN sample was compared with the non-sentinel lymph node (NSLN) status of the ALND specimen using routine histological assessment. In total, 122/683 patients (17.9%) were found to have an OSNA TTL indicative of macrometastasis. In addition, 45/122 (37%) patients had NSLN metastases on ALND with a total positive lymph node burden exceeding the American College of Surgeons Oncology Group Z0011 trial threshold of two macrometastatic nodes. The TTL negative predictive value was 0.975 [95% confidence interval (CI), 0.962-0.988]. The area under the curve for the receiver operating characteristic curve was 0.86 (95% CI, 0.81-0.91), indicating that SLN TTL was associated with the prediction (and partitioning) of total axillary disease burden. OSNA identifies a TTL threshold value where, in the presence of involved SLNs, ALND may be avoided. This technique offers objective confidence in adopting conservative management of the axilla in patients with SLN macrometastases.