Kinome sequencing reveals RET G691S polymorphism in human neuroendocrine lung cancer cell lines

Qualification and quantification of plasma cell-free DNA after long-term storage conditions in patients with benign prostatic hyperplasia (BPH): a pilot study

Objectives

Free DNA is used as a cancer biomarker due to its low cost, high applicability, and fast, reliable results compared to invasive methods. This study aimed to evaluate the quantification of plasma-free DNA after long-term storage conditions and perform qualification through Single Nucleotide Polymorphism (SNP) screening based on this DNA.

Methods

Plasma-free DNA samples were quickly isolated from the peripheral blood of both the Benign Prostatic Hyperplasia (BPH) and control group participants and then maintained at −80 °C for four years. Upon thawing, first, free DNA was purified and fluorometric measurements were taken to determine the amount of DNA. Subsequently, the rs6983267, rs12628, and rs1799939 SNPs were screened in the CCAT2, HRAS, and RET genes, respectively.

Results

Significant results were obtained from the fluorometric measurements in terms of single-stranded DNA (ssDNA) (p<0.001). However, there was no significant difference in SNPs rs6983267, rs12628, and rs1799939 in the BPH group compared to the healthy individuals.

Conclusions

The data show that fluorometric ssDNA measurements are suitable for quantifying free DNA. The fact that SNP screening can be done successfully in both healthy people and BPH patients suggests that plasma-free DNA can be stored in the laboratory under appropriate conditions.

Polymorphisms and rare variants identified by next-generation sequencing confer risk for lung cancer in han Chinese population

BACKGROUND

Lung cancer is one of the leading causes of cancer death worldwide, and genetic risk factors account for a large part of its carcinogenesis. The low economic requirements and high efficiency of next-generation sequencing (NGS) make it widely used in detecting genetic alterations in pathogenesis.

METHODS

We performed targeted panel sequencing in 780 Han Chinese lung cancer patients using a commercial probe, and the correlations between dozens of susceptible sites were verified in 1113 healthy controls. This study used Fisher's exact test and Benjamini-Hochberg FDR correction to analyze the mutual exclusion between mutated genes, and Pearson's p was used to verify the correlations between mutations and lung cancer susceptibility.

RESULTS

Our results determined the mutation spectrum and showed that each lung cancer patient carried at least one DNA mutation. The most frequently mutated gene was BRCA2 (mutation rate,10.6 %.). The co-occurrence and mutual exclusion analysis of DNA damage related genes showed that gene ATM was mutually exclusive from MSH6. We conducted a further case-control study in different subtypes of lung cancer and the results described 14 mutations associated with adenocarcinoma, 9 with squamous cell carcinoma, and 4 with small cell lung cancer. These variants were novel de-novo germline mutations in lung cancer. Particularly, rs3864017 in FANCD2 showed a protective effect of lung adenocarcinoma for carriers (OR = 0.146, 95 % CI = 0.052∼0.405, P_adjusted = 3.37 × 10^-4).

CONCLUSIONS

18 candidate mutations might alter the risk of lung cancer in the Han Chinese population, including polymorphisms rs3864017(FANCD2), rs55740729(MSH6) and 16 rare variants. The underlying mechanisms of candidate genes in lung cancer remain unclear and we suggest more functional studies on exploring how these genes affect the risk of lung cancer.

Modifying impact of RET gene haplotypes on medullary thyroid carcinoma clinical course

The clinical course of medullary thyroid carcinoma (MTC) associated with the MEN2A syndrome as well as of sporadic MTC shows considerable heterogeneity. The disease picture varies not only between the same RET proto-oncogene mutation carriers but also among sporadic MTC patients with no RET germinal mutations, which suggests the involvement of additional modulators of the disease. However, genetic factors responsible for this heterogeneity of the MTC clinical course still remain unknown. The aim of this study was to determine if polymorphic variants or specific haplotypes of the RET gene may modify the MTC clinical course. We genotyped the following loci: c.73+9277T>C, c.135G>A, c.1296A>G, c.2071G>A, c.2307T>C, c.2508C>T and c.2712C>G in 142 MTC patients and controls. We demonstrated considerable differences in the genotypes distribution within c.73+9277T>C, c.135G>A and c.2307T>C loci Our results show that the c.73+9277T variant associated with a decreased activity of the MCS+9.7 RET enhancer is rare in hereditary MTC patients with primary hyperparathyroidism, and thus, may influence the MTC clinical picture. The decreased activity of the RET promoter enhancer reduces RET expression level and may counterbalance the activating mutation in this gene. Frequent co-occurrence of the c.73+9277T allele with p.E768D, p.Y791F, p.V804M or p.R844Q RET mutations may be associated with their attenuation and milder clinical picture of the disease. Haplotypes analysis showed that C-G-A-G-T-(C)-C (c.73+9277T>C - c.135G>A - c.1296A>G - c.2071G>A - c.2307T>G - (c.2508C>T) - c.2712C>G) alleles combination predisposes to pheochromocytomas and primary hyperparathyroidism. We consider that RET haplotypes defining may become an auxiliary diagnostic tool in MTC patients.

Overexpression of Neuron-Specific Enolase as a Prognostic Factor in Patients with Gastric Cancer

PURPOSE

Enolase is a cytoplasmic enzyme that catalyzes the conversion of 2-phosphoglycerate to phosphoenolpyruvate in the glycolytic pathway. The aim of this study was to investigate whether the overexpression of neuron-specific enolase (NSE) can serve as a prognostic factor in patients with gastric cancer (GC).

MATERIALS AND METHODS

To assess its prognostic value in GC, NSE expression was measured by immunohistochemistry in a clinically annotated tissue microarray comprising of 327 human GC specimens. Cytoplasmic NSE expression was scored from 0 to 4, reflecting the percentage of NSE-positive cells.

RESULTS

In terms of histology as per the World Health Organization criteria (P=0.340), there were no differences between the NSE overexpression (NSE-OE) and NSE underexpression (NSE-UE) groups. The NSE-OE group showed a significantly lower rate of advanced GC (P<0.010), lymph node metastasis (P=0.010), advanced stage group (P<0.010), cancer-related death (P<0.010), and cancer recurrence (P<0.010). Additionally, a Kaplan-Meier survival analysis revealed that the NSE-OE group had longer cumulative survival times than the NSE-UE group (log-rank test, P<0.010). However, there were no significant differences in the serum levels of NSE expression in patients with GC and healthy volunteers (P=0.280).

CONCLUSIONS

Patients with NSE overexpressing GC tissues showed better prognostic results, implying that NSE could be a candidate biomarker of GC.

Metastatic triple-negative breast cancer patient with TP53 tumor mutation experienced 11 months progression-free survival on bortezomib monotherapy without adverse events after ending standard treatments with grade 3 adverse events

A triple-negative breast cancer patient had no hereditary BRCA1, BRCA2, or TP53 risk variants. After exhaustion of standard treatments, she underwent experimental treatments and whole-exome sequencing of tumor, blood, and a metastasis. Well-tolerated experimental bortezomib monotherapy was administered for a progression-free period of 11 mo. After progression, treatments were changed and the exome data were evaluated, expanded with RNA and exome sequencing of a late-stage metastasis. In the final stage, eribulin alone and in combination with anthracyclines were administered. While suffering from grade 3 adverse events, skin metastases progressed. She lived 51 mo after initial diagnosis.Toxicity from anthracyclines and cisplatin may have been due to associated germline variants CBR3 C4Y and V224M and GSTP1 I105V, respectively. Somatic mutations predicted or reported as pathogenic were detected in 38 genes in tumor tissues. All tumor samples harbored the heterozygous TP53 Y220C variant, known to destabilize p53 and down-regulate p53-mediated apoptosis. The success of bortezomib may be explained by the previously reported up-regulation of caspase-mediated apoptosis, which is p53-independent. Phylogenetic analysis of blood, primary tumor, and two metastases inferred an ancestral tumor cell with 12 expressed tumor mutations from which all three tumors may have evolved.Although our first urgent analysis could only include 40 genes, postmortem analysis uncovered the aggressiveness and suggested experimental therapies including 16 actionable targets, partly validated by immunohistochemistry. Exome and transcriptome analyses yielded comprehensive therapy-relevant information and should be considered for patients at first diagnosis.

Next-generation sequencing for endocrine cancers: Recent advances and challenges

Contemporary molecular biology research tools have enriched numerous areas of biomedical research that address challenging diseases, including endocrine cancers (pituitary, thyroid, parathyroid, adrenal, testicular, ovarian, and neuroendocrine cancers). These tools have placed several intriguing clues before the scientific community. Endocrine cancers pose a major challenge in health care and research despite considerable attempts by researchers to understand their etiology. Microarray analyses have provided gene signatures from many cells, tissues, and organs that can differentiate healthy states from diseased ones, and even show patterns that correlate with stages of a disease. Microarray data can also elucidate the responses of endocrine tumors to therapeutic treatments. The rapid progress in next-generation sequencing methods has overcome many of the initial challenges of these technologies, and their advantages over microarray techniques have enabled them to emerge as valuable aids for clinical research applications (prognosis, identification of drug targets, etc.). A comprehensive review describing the recent advances in next-generation sequencing methods and their application in the evaluation of endocrine and endocrine-related cancers is lacking. The main purpose of this review is to illustrate the concepts that collectively constitute our current view of the possibilities offered by next-generation sequencing technological platforms, challenges to relevant applications, and perspectives on the future of clinical genetic testing of patients with endocrine tumors. We focus on recent discoveries in the use of next-generation sequencing methods for clinical diagnosis of endocrine tumors in patients and conclude with a discussion on persisting challenges and future objectives.

USP7 inhibitors, downregulating CCDC6, sensitize lung neuroendocrine cancer cells to PARP-inhibitor drugs

OBJECTIVES

CCDC6 gene product is a tumor-suppressor pro-apoptotic protein, substrate of ATM, involved in DNA damage response and repair. Altered levels of CCDC6 expression are dependent on post-translational modifications, being the de-ubiquitinating enzyme USP7 responsible of the fine tuning of the CCDC6 stability. Thus, our aim was to investigate CCDC6 and USP7 expression levels in Lung-Neuroendocrine Tumors (L-NETs) to verify if they correlate and may be exploited as novel predictive therapeutic markers.

MATERIALS AND METHODS

Tumor tissues from 29 L-NET patients were investigated on tissue microarrays. CCDC6 levels were scored and correlated with immunoreactivity for USP7. Next generation sequencing (NGS) of a homogenous group of Large Cell Neuroendocrine Carcinoma (LCNEC) (N=8) was performed by Ion AmpliSeq NGS platform and the Ion AmpliSeq Cancer Hotspot Panel v2. The inhibition of USP7, using P5091, was assayed in vitro to accelerate CCDC6 turnover in order to sensitize the neuroendocrine cancer cells to PARP-inhibitors, alone or in association with cisplatinum.

RESULTS

The immunostaining of 29 primary L-NETs showed that the intensity of CCDC6 staining correlated with the levels of USP7 expression (p≤0.05). The NGS analysis of 8 LCNEC revealed mutations in the hot spot regions of the p53 gene (in 6 out of 8). Moreover, gene polymorphisms were identified in the druggable STK11, MET and ALK genes. High intensity of p53 immunostaining was reported in the 6 tissues carrying the TP53 mutations. The inhibition of USP7 by P5091 accelerated the degradation of CCDC6 versus control in cycloheximide treated L-NET cells in vitro and sensitized the cells to PARP-inhibitors alone and in combination with cisplatinum.

CONCLUSION

Our data suggest that CCDC6 and USP7 have a predictive value for the clinical usage of USP7 inhibitors in combination with the PARP-inhibitors in L-NET in addition to standard therapy.

Serum neuron specific enolase levels correlate with patient prognosis for advanced lung cancer

To analyze the clinical and prognostic value of neuron specific enolase (NSE) levels in serum of advanced lung cancer patients, we analyzed serum NSE level of 110 advanced lung cancer patients (case group), 100 benign lung disease patients (benign disease group), and 100 healthy persons (control group). Case group patients were divided by NSE level into ≥25 ng/mL (52 cases) and <25 ng/mL (58 cases) groups to analyze overall survival (OS) and progression-free survival (PFS). The results showed the serum NSE levels of case group patients were significantly higher than those of control or benign disease group patients (P<0.05). Serum NSE levels of small cell lung cancer patients were significantly higher than those of patients with other tumor pathologies (all P<0.05). Median OS significantly differed between patients with NSE levels ≥25 ng/mL (23.7 months) and <25 ng/mL (31.4 months) (P<0.05). Median PFS also significantly differed between patients with NSE levels ≥25 ng/mL (13.5 months) and <25 ng/mL (17.6 months) (χ (2)=9.992; P<0.05). Tumor pathology (RR=4.136), patient performance status score (RR=2.903), and serum NSE level (RR=2.338) were factors influencing OS (P<0.05). Patient performance status score (RR=2.903), number of chemotherapy lines (RR=1.776), and serum NSE level (RR=2.075) were influencing factors in patients' PFS (P<0.05). In brief, serum NSE level significantly correlates with advanced lung cancer patient prognosis and may be useful as an auxiliary index to predict prognosis.

RET polymorphisms might be the risk factors for thyroid cancer

AIMS

The purpose of the study is to investigate the relationship between rs1799939, rs1800858 and rs74799832 polymorphisms of RET with thyroid cancer (TC) susceptibility.

METHODS

Genotypes distribution of control groups were tested by Hardy-Weinberg equilibrium (HWE). Rs1799939, rs1800858 and rs74799832 polymorphisms of RET were researched in 135 patients with TC and 135 healthy people using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Odds ratio (OR) with 95% confidence interval (CI) were calculated to evaluate the association between RET polymorphisms and the risk of TC by Chi-squared test.

RESULTS

Genotypes frequencies of the control group were consistent with HWE. The frequency of genotype AA and allele A in rs1799939 were significantly higher in patients with TC than controls (OR=3.768, P=0.046; OR=1.695, P=0.035). Genotype GG and allele G of rs1800858 remarkably increased the risk of TC (OR=2.149, P=0.039; OR=1.45, P=0.039). Moreover, CC genotype and C allele in rs74799832 polymorphism was related with TC susceptibility. (OR=2.28, P=0.049; OR=1.566, P=0.049).

CONCLUSION

In present result, RET rs1799939, rs1800858 and rs74799832 polymorphisms might be the risk factors for TC.