linc00673 (ERRLR01) is a prognostic indicator of overall survival in breast cancer

SLAMR, a synaptically targeted lncRNA, facilitates the consolidation of contextual fear memory

LncRNAs are involved in critical processes for cell homeostasis and function. However, it remains largely unknown whether and how the transcriptional regulation of long noncoding RNAs results in activity-dependent changes at the synapse and facilitate formation of long-term memories. Here, we report the identification of a novel lncRNA, SLAMR, that becomes enriched in CA1- but not in CA3-hippocampal neurons upon contextual fear conditioning. SLAMR is transported to dendrites via the molecular motor KIF5C and recruited to the synapse in response to stimulation. Loss of function of SLAMR reduced dendritic complexity and impaired activity dependent changes in spine structural plasticity. Interestingly, gain of function of SLAMR enhanced dendritic complexity, and spine density through enhanced translation. Analyses of the SLAMR interactome revealed its association with CaMKIIα protein through a 220-nucleotide element and its modulation of CaMKIIα activity. Furthermore, loss-of-function of SLAMR in CA1 selectively impairs consolidation but neither acquisition, recall, nor extinction of fear memory and spatial memory. Together, these results establish a new mechanism for activity dependent changes at the synapse and consolidation of contextual fear.

Recent advances of transcriptomics and proteomics in triple-negative breast cancer prognosis assessment

Triple-negative breast cancer (TNBC), a heterogeneous tumour that lacks the expression of oestrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2), is often characterized by aggressiveness and tends to recur or metastasize. TNBC lacks therapeutic targets compared with other subtypes and is not sensitive to endocrine therapy or targeted therapy except chemotherapy. Therefore, identifying the prognostic characteristics and valid therapeutic targets of TNBC could facilitate early personalized treatment. Due to the rapid development of various technologies, researchers are increasingly focusing on integrating 'big data' and biological systems, which is referred to as 'omics', as a means of resolving it. Transcriptomics and proteomics analyses play an essential role in exploring prospective biomarkers and potential therapeutic targets for triple-negative breast cancers, which provides a powerful engine for TNBC's therapeutic discovery when combined with complementary information. Here, we review the recent progress of TNBC research in transcriptomics and proteomics to identify possible therapeutic goals and improve the survival of patients with triple-negative breast cancer. Also, researchers may benefit from this article to catalyse further analysis and investigation to decipher the global picture of TNBC cancer.

The Prognostic Value of LncRNA SLNCR1 in Cancers: A Meta-Analysis

Objective

This meta-analysis was performed to identify the prognostic value of SLNCR1 in multiple cancer types.

Methods

Electronic databases, including PubMed, EMBASE, and Web of Science, Cochrane Library, Medline, BioMed Central, Springer, Science Direct, and China National Knowledge Internet (CNKI), were searched for relevant studies up to August 2021, and the hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated to assess the relationship between SLNCR1 expression and overall survival (OS).

Results

12 studies with a total of 1155 patients with 9 different types of cancers were included in this meta-analysis. The pooled HR indicates that high SLNCR1 expression represented poorer prognosis of cancer (HR = 2.11, 95% CI: 1.59–2.80, I² = 0%, P < 0.00001). Additionally, high SLNCR1 expression was correlated with TNM stage (odds ratio (OR): 1.72, 95% CI: 1.08–2.74, I² = 62%, P=0.02), lymph node metastasis (LNM) (OR:2.42, 95% CI: 1.61–3.64, I² = 55%, P < 0.0001), and distant metastases (DM) (OR: 2.30, 95% CI: 1.50–3.55, I² = 27%, P=0.0002). However, no evidence was found for a relationship between SLNCR1 expression and clinical features such as tumor size (OR: 1.71, 95% CI: 0.93–3.14, I² = 71%, P=0.09), age (OR: 0.86, 95% CI: 0.68–1.08, I² = 0%, P=0.19), or gender (OR: 1.07, 95% CI: 0.64–1.81, I² = 55%, P=0.79).

Conclusion

Our findings found that high SLNCR1 expression was associated with poor OS, advanced tumor stage, tumor size, LNM, and DM in multiple cancers, indicating that SLNCR1 may serve as a potential prognostic biomarker for cancer patients in China.

Network analysis with biological data of cancer patients: A scoping review

BACKGROUND & OBJECTIVE

Network Analysis (NA) is a mathematical method that allows exploring relations between units and representing them as a graph. Although NA was initially related to social sciences, the past two decades was introduced in Bioinformatics. The recent growth of the networks' use in biological data analysis reveals the need to further investigate this area. In this work, we attempt to identify the use of NA with biological data, and specifically: (a) what types of data are used and whether they are integrated or not, (b) what is the purpose of this analysis, predictive or descriptive, and (c) the outcome of such analyses, specifically in cancer diseases.

METHODS & MATERIALS

The literature review was conducted on two databases, PubMed & IEEE, and was restricted to journal articles of the last decade (January 2010 - December 2019). At a first level, all articles were screened by title and abstract, and at a second level the screening was conducted by reading the full text article, following the predefined inclusion & exclusion criteria leading to 131 articles of interest. A table was created with the information of interest and was used for the classification of the articles. The articles were initially classified to analysis studies and studies that propose a new algorithm or methodology. Each one of these categories was further screened by the following clustering criteria: (a) data used, (b) study purpose, (c) study outcome. Specifically for the studies proposing a new algorithm, the novelty presented in each one was detected.

RESULTS

& Conclusions: In the past five years researchers are focusing on creating new algorithms and methodologies to enhance this field. The articles' classification revealed that only 25% of the analyses are integrating multi-omics data, although 50% of the new algorithms developed follow this integrative direction. Moreover, only 20% of the analyses and 10% of the newly developed methodologies have a predictive purpose. Regarding the result of the works reviewed, 75% of the studies focus on identifying, prognostic or not, gene signatures. Concluding, this review revealed the need for deploying predictive and multi-omics integrative algorithms and methodologies that can be used to enhance cancer diagnosis, prognosis and treatment.

Advances in Pathophysiology of Triple-Negative Breast Cancer: The Potential of lncRNAs for Clinical Diagnosis, Treatment, and Prognostic Monitoring

Recent studies have shown that long non-coding RNAs (lncRNAs) are involved in several gene expression regulation processes, including epigenetic regulation, transcriptional regulation, post-transcriptional regulation, and translation regulation. It also plays a crucial role in the regulation of several characteristics of cancer biology, and the dysregulation of lncRNA expression in cancer may be part of the cause of cancer progression. Meanwhile, more and more studies are trying to determine the association between lncRNA expression and TNBC, as well as the functional role and molecular mechanism of the abnormally expressed lncRNA. Therefore, this review lists some abnormal lncRNAs in TNBC, further analyzes their molecular mechanisms and biological roles in the development of TNBC, and summarizes the potential of lncRNAs as biomarkers and therapeutic targets of TNBC, so as to provide ideas for clinical diagnosis, targeted therapy, and prognosis monitoring of TNBC.

Long noncoding RNAs in triple-negative breast cancer: A new frontier in the regulation of tumorigenesis

In recent years, triple-negative breast cancer (TNBC) has emerged as the most aggressive subtype of breast cancer and is usually associated with increased mortality worldwide. The severity of TNBC is primarily observed in younger women, with cases ranging from approximately 12%-24% of all breast cancer cases. The existing hormonal therapies offer limited clinical solutions in completely circumventing the TNBC, with chemoresistance and tumor recurrences being the common hurdles in the path of TNBC treatment. Accumulating evidence has correlated the dysregulation of long noncoding RNAs (lncRNAs) with increased cell proliferation, invasion, migration, tumor growth, chemoresistance, and decreased apoptosis in TNBC. Various clinical studies have revealed that aberrant expression of lncRNAs in TNBC tissues is associated with poor prognosis, lower overall survival, and disease-free survival. Due to these specific characteristics, lncRNAs have emerged as novel diagnostic and prognostic biomarkers for TNBC treatment. However, the underlying mechanism through which lncRNAs perform their actions remains unclear, and extensive research is being carried out to reveal it. Therefore, understanding of mechanisms regulating the modulation of lncRNAs will be a substantial breakthrough in effective treatment therapies for TNBC. This review highlights the association of several lncRNAs in TNBC progression and treatment, along with their possible functions and mechanisms.

A review of linc00673 as a novel lncRNA for tumor regulation

Long non-coding RNAs (LncRNAs) act as regulators and play important roles in a variety of biological processes. These regulators constitute a huge information network among genes and participate in the pathophysiological process of human diseases. Increasing evidence has demonstrated that LncRNA, as an oncogene or tumor suppressor gene, is closely related to the occurrence and development of tumors. Linc00673 is a recently discovered LncRNA molecule that is dysregulated in several solid tumors. Moreover, its genetic polymorphism is believed to affect the susceptibility of a population to the corresponding cancer species. This article summarizes the role of Linc00673 in different human cancers and its molecular mechanisms with a focus on the characteristics of Linc00673 and the existing literature on it while highlighting the future research directions for Linc00673. Linc00673 has the potential to become a feasible clinical diagnostic and prognostic marker toward providing a new molecular therapeutic target for cancer patients.

LINC00673 exerts oncogenic function in cervical cancer by negatively regulating miR-126-5p expression and activates PTEN/PI3K/AKT signaling pathway

BACKGROUND

Recent studies have indicated the crucial regulator roles of a long non-coding RNA (lncRNA) LINC00673 in cancer pathogenesis and development. However, the clinical significance and functional effects of LINC00673 in cervical cancer remains unknown.

METHODS

LINC00673 mRNA expression in cervical cancer tissues was measured by quantitative Real-time PCR (qRT-PCR), and the association between LINC00673 expression and the overall survival (OS) time of patients was analyzed by Kaplan-Meier survival plot. Cell proliferation was assessed using CCK8 assay, Flow cytometry analysis and cell colony formation assay. The association between miR-126-5p and LINC00673 was clarified by Luciferase activity assay. Furthermore, xenografts model in mice in vivo were used to evaluate the effects of LINC00673 expression on tumor growth of cervical cancer.

RESULTS

It was confirmed that the relative mRNA expression of LINC00673 was promoted in cervical cancer tissues and cancer cell lines compared with its corresponding normal tissues and cells (P < 0.05). Higher LINC00673 expression was associated with tumor size, lymph node metastasis, and International Federation of Gynecology and Obstetrics (FIGO) stage (P < 0.05). Survival analysis showed higher LINC00673 expression predicted poor OS of cervical cancer patients, and Multivariate Cox analysis demonstrated that higher LINC00673 expression was identified as an independent risk factor for OS. LINC00673 overexpression promoted cell proliferation and cell cycle progression, but LINC00673 knockdown inhibited cell proliferation and cell cycle progression significantly (P < 0.05). Besides, overexpression of LINC00673 was negatively correlated with lower miR-126-5p expression in cervical cancer tissues. In vivo xenograft tumor assay indicated that LINC00673 silencing reduced the tumor volume and weight. Bioinformatics analysis revealed that miR-126-5p targeted 3'-UTR of LINC00673, and LINC00673 promoted cell proliferation by sponging to miR-126-5p in cervical cancer cells. Additionally, it was demonstrated that LINC00673 significantly activated the PTEN/PI3K/AKT signaling pathway in cervical cancer cells.

CONCLUSION

These results provide the evidence that LINC00673 overexpression promotes cervical cancer cells progression through regulating miR-126-5p and activating the PTEN/PI3K/AKT signaling pathway, indicating that LINC00673 may be a potential therapeutic target for cervical cancer treatment.

Association of LINC00673 rs11655237 polymorphism with cancer susceptibility: A meta-analysis based on 23,478 subjects

BACKGROUND

Some studies on the relationship between LINC00673 polymorphism and cancer susceptibility have been inconsistent. To perform a more comprehensively quantitative assessment of LINC00673 rs11655237 and risk of overall cancer, we operated this meta-analysis for the first time.

METHODS

A comprehensive search was conducted to obtain relevant literature up to November 20, 2019. Pooled odds ratios and 95% confidence intervals were utilized to assess rs11655237 and cancer susceptibility under five different genetic models.

RESULTS

Eventually, 11 case-control studies from 9 articles were included. We found that LINC00673 rs11655237 polymorphism increased the susceptibility to overall cancer under all genetic models in the overall population. By dividing ethnicity and cancer type into subgroups, we also obtained similar positive results in subgroups of Chinese population, pancreatic cancer, cervical cancer, neuroblastoma, hepatoblastoma and gastric cancer.

CONCLUSION

Overall, this meta-analysis has demonstrated for the first time that LINC00673 rs11655237 could increase susceptibility to cancer.

Role of long non-coding RNAs and MYC interaction in cancer metastasis: A possible target for therapeutic intervention

The c-MYC is one of the most commonly discussed oncogenes in almost all cancers. c-MYC, as a proto-oncogene in normal cells, has found to be tightly controlled and regulated, both genetically and epigenetically. Evasion of the controlled checkpoint mechanisms during cancer causes a deregulated expression of c-MYC. Overexpression of c-MYC causes the onset of many hallmarks of cancer. Despite c-MYC being centrally located in several cancers, it is not feasible to target c-MYC in therapeutic resistant cancers. Similarly, long non-coding RNAs (lncRNAs) are deregulated during the genesis and progression of different cancers. LncRNAs contribute to almost 27% human genome and recent findings by tumor genome sequencing revealed many of the lncRNAs loci that are modified, deleted, amplified, and mutated during the different stages of cancer development. Recent studies also reported that multiple lncRNAs regulate c-MYC by different mechanisms and vice versa. Thus, oncogenic lncRNAs and c-MYC interaction are positioned to provide an interesting choice for therapeutic interventions in cancers. In this mini-review, we summarize the recent discoveries and explain how the interaction between oncogenic lncRNAs and c-MYC could be used as a possible target for therapeutic intervention in cancers, especially the therapeutic resistant metastatic cancers.

Integrated Analysis of mRNA-miRNA-lncRNA ceRNA Network in Human HR+/Her-2- Breast Cancer and Triple Negative Breast Cancer

Breast cancer is a heterogeneous disease highly diverse in different subtypes, including hormone receptor positive and hormone receptor negative subtypes with variable malignancy, therapy regimen, and different prognosis. In this study, we develop a hormone receptor-specific mRNA-miRNA-lncRNA ceRNA network to identify whether several RNAs play fundamental roles in development and metastasis of breast cancer. To understand the association of ceRNA expression profiles in different breast cancer subgroups, the expression profiles and clinical information of 428 HR+/Her-2- breast cancer samples and 113 triple negative breast cancer samples were downloaded from The Cancer Genome Atlas database (TCGA). We comprehensively integrated and compared expression profiles of mRNAs, miRNAs, and lncRNAs between the two subgroups mentioned. Aberrantly expressed hormone receptor specific RNAs were identified, whereas lncRNA-miRNA interactions predicted by miRcode and miRNA-targeted mRNA interactions were validated by miRTarBase, Targetscan, and miRDB database. In this study, mRNA-miRNA-lncRNA ceRNA network was constructed that consisted of 44 miRNA-lncRNA interaction pairs and 2 miRNA-mRNA interaction pairs, and visualized by Cytoscape software. Prognostic markers of HR-specific subtype of breast cancer associated with overall survival were identified by Kaplan-Meier survival analysis. Finally, SFRP1, AC006449.1, and MUC2 were novel clinical predictors that may also provide a new therapeutic target in the future.

Investigation of association between LINC00673 rs11655237 C>T and Wilms tumor susceptibility

BACKGROUND

Wilms tumor (WT) is the most common pediatric renal malignancy. Previous genome-wide association studies have identified that the LINC00673 rs11655237 C>T polymorphism is associated with the risk of several types of cancer. However, few studies have investigated the association between LINC00673 rs11655237 C>T and WT susceptibility.

METHOD

We genotyped LINC00673 rs11655237 C>T in 145 patients with WT and 531 cancer-free controls recruited from southern Chinese children. The strength of association was estimated by odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Our study indicated that there was no significant association between LINC00673 rs11655237 C>T polymorphism and WT risk under all the tested genetic models (CT vs CC: adjusted OR = 0.94, 95% CI = 0.63-1.40; TT vs CC: adjusted OR = 0.60, 95% CI = 0.22-1.59; TT/CT vs CC: adjusted OR = 0.89, 95% CI = 0.61-1.31; and TT vs CC/CT: adjusted OR = 0.61, 95% CI = 0.23-1.61). Further stratified analysis detected no significant association, either.

CONCLUSION

In conclusion, we failed to find any association between the LINC00673 rs11655237 C>T polymorphism and WT risk. This finding needs to be verified in larger studies and other populations.

Long non-coding RNAs differential expression in breast cancer subtypes: What do we know?

Breast Cancer (BC) is the most commonly diagnosed cancer and is the leading cause of cancer deaths in women. BC is a heterogeneous disease with different clinical and genetic features. According to immunohistochemical markers, BC is subdivided into four main subtypes: luminal A, luminal B, ERBB2 positive and triple negative. Long non-coding RNAs (lncRNAs) are transcripts with more than 200 nucleotides and deregulated lncRNAs are associated with human diseases, including BC. In order to improve BC molecular classification, non-coding RNAs (ncRNAs), including lncRNAs, have been used. In this review, we focus on lncRNAs with differential expression in BC subtypes and how these RNAs may act to contribute to BC heterogeneity. We also emphasize the potential of these lncRNAs as biomarkers.

lncRNA LINC00673 induces proliferation, metastasis and epithelial-mesenchymal transition in thyroid carcinoma via Kruppel-like factor 2

The incidence of thyroid cancer has increased in the past decades; however, the underlying molecular mechanisms of thyroid cancer tumorigenesis remain unknown. Using sequencing technology, long intergenic non‑protein coding RNA 673 (LINC00673) was identified to be upregulated in several tumor tissues. However, the biological role of LINC00673 in thyroid carcinoma has yet to be determined. In this study, 60 matched pairs of thyroid tumor tissue and normal tissue were selected for study using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to validate previous findings; then, clinicopathologic features of the tissues were analyzed. Proliferation, colony formation, migration and invasion assays were performed, and epithelial-mesenchymal transition (EMT)-associated phenotypes were investigated following transfection with small interfering RNA to determine the specific role of LINC00673 in thyroid carcinoma cell lines (TPC1, KTC‑1 and BCPAP). The study revealed that long non‑coding RNA LINC00673 was significantly upregulated in thyroid cancer tissues compared with paired adjacent non‑tumor tissues using RT-qPCR and that high expression of LINC00673 is was associated with larger tumor size and lymph node metastasis in the validated cohort. Knockdown of LINC00673 inhibited cell proliferation and metastasis, whereas, LINC00673 overexpression had the opposite effect. The results showed that LINC00673 may influence EMT and the expression of Kruppel-like factor 2 (KLF2). Notably, KLF2 is considered a tumor suppressor gene in a variety of tumors. Finally, knock down of KLF2 enhanced thyroid carcinoma cell proliferation, and invasion and migration. In this study, the function of LINC00673 in promoting the proliferation and metastasis of thyroid carcinoma cell lines was identified, and LINC00673 may act as a novel therapeutic target for treating thyroid carcinoma.

Long non-coding RNA LINC00673 promotes breast cancer proliferation and metastasis through regulating B7-H6 and epithelial-mesenchymal transition

BACKGROUND

Long non-coding RNAs (LncRNAs) have been reported as key regulators of tumor progression in recent decades. However, the potential molecular mechanisms of breast cancer are still unclear. With the development of sequencing technology, we discovered that LINC00673 is upregulated in tumor tissues. But the main role of LINC00673 in breast cancer has yet to be confirmed.

MATERIALS AND METHODS

35 pairs of breast tumors and normal tissues were selected to real-time quantitative polymerase chain reaction (RT-qPCR) to validate LINC00673 is overexpressed in tumor tissues. We conducted proliferation, colony formation, migration, invasion assays, and EMT-related phenotype to determine the specific role of LINC00673 in breast cancer cell lines (MDA-MB-231, BT-549, and MCF-7) transfected with small interfering RNA. Gene expression profiling was conducted to found LINC00673-associated gene transcriptional changes.

RESULTS

We discovered that LINC00673 is significantly upregulated in breast cancer tissues compared to paired adjacent non-tumor tissues by RT-qPCR and highly expressed LINC00673 is positively correlated with lymph node metastasis and clinical stage in the validated cohort. Knocking down LINC00673 inhibited cell proliferation and metastasis, whereas upregulated LINC00673 had the opposite effect. Gene expression profiling results indicated that LINC00673 could influence NCR3LG1(B7-H6) expression in transcriptional level. Western Blot showed us that LINC00673 could regulate epithelial-mesenchymal transition (EMT) and B7-H6 in protein level. Then we demonstrated that knocking down B7-H6 could decrease breast cancer cell proliferation and metastasis.

CONCLUSION

In this study, we identified the role of LINC00673 in inducing proliferation and metastasis of breast cancer cell lines and it might act as an underlying therapeutic target for breast cancer.

Long non-coding RNAs: implications in targeted diagnoses, prognosis, and improved therapeutic strategies in human non- and triple-negative breast cancer

Triple-negative breast cancer (TNBC) has been clinically difficult to manage because of tumor aggressiveness, cellular and histological heterogeneity, and molecular mechanisms’ complexity. All this in turn leads us to evaluate that tumor biological behavior is not yet fully understood. Additionally, the heterogeneity of tumor cells represents a great biomedicine challenge in terms of the complex molecular—genetical-transcriptional and epigenetical—mechanisms, which have not been fully elucidated on human solid tumors.

Recently, human breast cancer, but specifically TNBC is under basic and clinical-oncology research in the discovery of new molecular biomarkers and/or therapeutic targets to improve treatment responses, as well as for seeking algorithms for patient stratification, seeking a positive impact in clinical-oncology outcomes and life quality on breast cancer patients.

In this sense, important knowledge is emerging regarding several cancer molecular aberrations, including higher genetic mutational rates, LOH, CNV, chromosomal, and epigenetic alterations, as well as transcriptome aberrations in terms of the total gene-coding ribonucleic acids (RNAs), known as mRNAs, as well as non-coding RNA (ncRNA) sequences. In this regard, novel investigation fields have included microRNAs (miRNAs), as well as long ncRNAs (lncRNAs), which have been importantly related and are likely involved in the induction, promotion, progression, and/or clinical therapeutic response trackers of TNBC. Based on this, in general terms according with the five functional archetype classification, the lncRNAs may be involved in the regulation of several molecular mechanisms which include genetic expression, epigenetic, transcriptional, and/or post-transcriptional mechanisms, which are nowadays not totally understood.

Here, we have reviewed the main dis-regulated and functionally non- and well-characterized lncRNAs and their likely involvement, from a molecular enrichment and mechanistic point of view, as tumor biomarkers for breast cancer and its specific histological subtype, TNBC. In reference to the abovementioned, it has been described that some lncRNA expression profiles correspond or are associated with the TNBC histological subtype, potentially granting their use for TNBC malignant progression, diagnosis, tumor clinical stage, and likely therapy. Based on this, lncRNAs have been proposed as potential biomarkers which might represent potential predictive tools in the differentiated breast carcinomas versus TNBC malignant disease. Finally, elucidation of the specific or multi-functional archetypal of lncRNAs in breast cancer and TNBC could be fundamental, as these molecular intermediary-regulator “lncRNAs” are widely involved in the genome expression, epigenome regulation, and transcriptional and post-transcriptional tumor biology, which in turn will probably represent a new prospect in clinical and/or therapeutic molecular targets for the oncological management of breast carcinomas in general and also for TNBC patients.

LINC00673 rs11655237 C>T confers neuroblastoma susceptibility in Chinese population

Neuroblastoma, which accounts for approximately 10% of all pediatric cancer-related deaths, has become a therapeutic challenge and global burden attributed to poor outcomes and mortality rates of its high-risk form. Previous genome-wide association studies (GWASs) identified the LINC00673 rs11655237 C>T polymorphism to be associated with the susceptibility of several malignant tumors. However, the association between this polymorphism and neuroblastoma susceptibility is not clear. We genotyped LINC00673 rs11655237 C>T in 393 neuroblastoma patients in comparison with 812 age-, gender-, and ethnicity-matched healthy controls. We found a significant association between the LINC00673 rs11655237 C>T polymorphism and neuroblastoma risk (TT compared with CC: adjusted odds ratio (OR) =1.80, 95% confidence interval (CI) =1.06-3.06, P=0.029; TT/CT compared with CC: adjusted OR =1.31, 95% CI =1.02-1.67, P=0.033; and T compared with C: adjusted OR =1.29, 95% CI =1.06-1.58, P=0.013). Furthermore, stratified analysis indicated that the rs11655237 T allele carriers were associated with increased neuroblastoma risk for patients with tumor originating from the adrenal gland (adjusted OR =1.51, 95% CI =1.06-2.14, P=0.021) and International Neuroblastoma Staging System (INSS) stage IV disease (adjusted OR =1.60, 95% CI =1.12-2.30, P=0.011). In conclusion, we verified that the LINC00673 rs11655237 C>T polymorphism might be associated with neuroblastoma susceptibility. Prospective studies with a large sample size and different ethnicities are needed to validate our findings.

Inherited pancreatic cancer

Pancreatic cancers arise through a series of genetic events both inherited and acquired. Inherited genetic changes, both high penetrance and low penetrance, are an important component of pancreatic cancer risk, and may be used to characterize populations who will benefit from early detection. Furthermore, pancreatic cancer patients with inherited mutations may be particularly sensitive to certain targeted agents, providing an opportunity to personalized treatment. Family history of pancreatic cancer is one of the strongest risk factors for the disease, and is associated with an increased risk of caners at other sites, including but not limited to breast, ovarian and colorectal cancer. The goal of this chapter is to discuss the importance of family history of pancreatic cancer, and the known genes that account for a portion of the familial clustering of pancreatic cancer.