Forkhead box J1 expression is upregulated and correlated with prognosis in patients with clear cell renal cell carcinoma

Poorer survival outcomes in patients with multiple versus single primary melanoma

BACKGROUND

Given equivocal results related to overall survival (OS) for patients with multiple primary melanomas (MPMs) compared with those with single primary melanomas (SPMs) in previous reports, the authors sought to determine whether OS differs between these 2 cohorts in their center using their UPCI-96-99 database. Secondary aims were to assess the differences in recurrence-free survival (RFS). In a subset of patients, transcriptomic profiling of peripheral blood mononuclear cells (PBMCs) was performed to assess disease-associated genes of interest.

METHODS

This retrospective case-controlled study included patients with MPMs and age-, sex-, and stage-matched controls with SPMs at a 1:1 ratio. Cox regression models were used to evaluate the effect of the presence of MPMs on death and recurrence. NanoString PanCancer Immune Profiling was used to assess peripheral blood immune status in patients.

RESULTS

In total, 320 patients were evaluated. The mean patient age was 47 years; 43.8% were male. Patients with MPMs had worse RFS and OS (P = .023 and P = .0019, respectively). The presence of MPMs was associated with an increased risk of death (hazard ratio [HR], 4.52, P = .0006), and increased risk of disease recurrence (HR, 2.17; P = .004) after adjusting for age, sex, and stage. The degree of tumor-infiltrating lymphocytes (TILs) was different between the first melanoma of MPMs and SPMs. Expression of CXCL6 and FOXJ1 was increased in PBMCs isolated from patients with MPMs.

CONCLUSIONS

Patients with MPMs had worse RFS and OS compared with patients with SPMs. Immunologic differences were also observed, including TIL content and expression of CXCL6/FOXJ1 in PBMCs of patients with MPMs, which warrant further investigation.

A Novel Machine Learning 13-Gene Signature: Improving Risk Analysis and Survival Prediction for Clear Cell Renal Cell Carcinoma Patients

Simple Summary

Clear cell renal cell carcinoma is a type of kidney cancer which comprises the majority of all renal cell carcinomas. Many efforts have been made to identify biomarkers which could help healthcare professionals better treat this kind of cancer. With extensive public data available, we conducted a machine learning study to determine a gene signature that could indicate patient survival with high accuracy. Through the min-Redundancy and Max-Relevance algorithm we generated a signature of 13 genes highly correlated with patient outcomes. These findings reveal potential strategies for personalized medicine in the clinical practice.

Abstract

Patients with clear cell renal cell carcinoma (ccRCC) have poor survival outcomes, especially if it has metastasized. It is of paramount importance to identify biomarkers in genomic data that could help predict the aggressiveness of ccRCC and its resistance to drugs. Thus, we conducted a study with the aims of evaluating gene signatures and proposing a novel one with higher predictive power and generalization in comparison to the former signatures. Using ccRCC cohorts of the Cancer Genome Atlas (TCGA-KIRC) and International Cancer Genome Consortium (ICGC-RECA), we evaluated linear survival models of Cox regression with 14 signatures and six methods of feature selection, and performed functional analysis and differential gene expression approaches. In this study, we established a 13-gene signature (AR, AL353637.1, DPP6, FOXJ1, GNB3, HHLA2, IL4, LIMCH1, LINC01732, OTX1, SAA1, SEMA3G, ZIC2) whose expression levels are able to predict distinct outcomes of patients with ccRCC. Moreover, we performed a comparison between our signature and others from the literature. The best-performing gene signature was achieved using the ensemble method Min-Redundancy and Max-Relevance (mRMR). This signature comprises unique features in comparison to the others, such as generalization through different cohorts and being functionally enriched in significant pathways: Urothelial Carcinoma, Chronic Kidney disease, and Transitional cell carcinoma, Nephrolithiasis. From the 13 genes in our signature, eight are known to be correlated with ccRCC patient survival and four are immune-related. Our model showed a performance of 0.82 using the Receiver Operator Characteristic (ROC) Area Under Curve (AUC) metric and it generalized well between the cohorts. Our findings revealed two clusters of genes with high expression (SAA1, OTX1, ZIC2, LINC01732, GNB3 and IL4) and low expression (AL353637.1, AR, HHLA2, LIMCH1, SEMA3G, DPP6, and FOXJ1) which are both correlated with poor prognosis. This signature can potentially be used in clinical practice to support patient treatment care and follow-up.

Molecular Classification and Therapeutic Targets in Ependymoma

Ependymoma is a biologically diverse tumor wherein molecular classification has superseded traditional histological grading based on its superior ability to characterize behavior, prognosis, and possible targeted therapies. The current, updated molecular classification of ependymoma consists of ten distinct subgroups spread evenly among the spinal, infratentorial, and supratentorial compartments, each with its own distinct clinical and molecular characteristics. In this review, the history, histopathology, standard of care, prognosis, oncogenic drivers, and hypothesized molecular targets for all subgroups of ependymoma are explored. This review emphasizes that despite the varied behavior of the ependymoma subgroups, it remains clear that research must be performed to further elucidate molecular targets for these tumors. Although not all ependymoma subgroups are oncologically aggressive, development of targeted therapies is essential, particularly for cases where surgical resection is not an option without causing significant morbidity. The development of molecular therapies must rely on building upon our current understanding of ependymoma oncogenesis, as well as cultivating transfer of knowledge based on malignancies with similar genomic alterations.

Chemotherapy-induced peripheral neuropathy: evidence from genome-wide association studies and replication within multiple myeloma patients

Background

Based on the possible shared mechanisms of chemotherapy-induced peripheral neuropathy (CIPN) for different drugs, we aimed to aggregate results of all previously published genome-wide association studies (GWAS) on CIPN, and to replicate them within a cohort of multiple myeloma (MM) patients.

Methods

Following a systematic literature search, data for CIPN associated single nucleotide polymorphisms (SNPs) with P-values< 10^− 5 were extracted; these associations were investigated within a cohort of 983 German MM patients treated with bortezomib, thalidomide or vincristine. Cases were subjects that developed CIPN grade 2–4 while controls developed no or sub-clinical CIPN. Logistic regression with additive model was used.

Results

In total, 9 GWASs were identified from the literature on CIPN caused by different drugs (4 paclitaxel, 2 bortezomib, 1 vincristine, 1 docetaxel, and 1 oxaliplatin). Data were extracted for 526 SNPs in 109 loci. One hundred fourty-eight patients in our study population were CIPN cases (102/646 bortezomib, 17/63 thalidomide and 29/274 vincristine). In total, 13 SNPs in 9 loci were replicated in our population (p-value< 0.05). The four smallest P-values relevant to the nerve function were 0.0006 for rs8014839 (close to the FBXO33 gene), 0.004 for rs4618330 (close to the INTU gene), 0.006 for rs1903216 (close to the BCL6 gene) and 0.03 for rs4687753 (close to the IL17RB gene).

Conclusions

Replicated SNPs provide clues of the molecular mechanism of CIPN and can be strong candidates for further research aiming to predict the risk of CIPN in clinical practice, particularly rs8014839, rs4618330, rs1903216, and rs4687753, which showed relevance to the function of nervous system.

Electronic supplementary material

The online version of this article (10.1186/s12885-018-4728-4) contains supplementary material, which is available to authorized users.

FOXK2 suppresses the malignant phenotype and induces apoptosis through inhibition of EGFR in clear-cell renal cell carcinoma

Forkhead box K2 (FOXK2) belongs to the forkhead box transcription factor family. Recent studies have revealed that FOXK2 plays essential roles in cancer cell proliferation and survival. However, the biological function of FOXK2 in renal cell carcinoma remains unexplored. In our study, we demonstrated that FOXK2 mRNA and protein levels were decreased in clear-cell renal cell carcinoma (ccRCC) tissues compared to those in corresponding non-tumor renal tissues, and decreased FOXK2 levels were associated with poor prognosis in ccRCC patients after nephrectomy. FOXK2 suppressed proliferation, migration and invasion capabilities of ccRCC cells and induced cellular apoptosis in vitro. Moreover, we found that FOXK2 overexpression inhibited xenograft tumor growth and promoted apoptosis in vivo. Genome-wide transcriptome profiling using FOXK2 overexpressed 769-P cells revealed that the epidermal growth factor receptor (EGFR) was a potential downstream gene of FOXK2. Overexpression of EGFR is able to rescue the inhibited proliferation capacity and the enhanced apoptosis capacity due to the overexpression of FOXK2 in 769-P cells. Collectively, our results indicate that FOXK2 inhibits the malignant phenotype of ccRCC and acts as a tumor suppressor possibly through the inhibition of EGFR.

FOXJ1 promotes bladder cancer cell growth and regulates Warburg effect

Forkhead Box J1 (FOXJ1) which belongs to Fox gene family, plays complex and crucial roles in processes of development, organogenesis, regulation of the immune system, as well as progression of several malignancies. However, how FOXJ1 functions in bladder cancer remains unclear. Here, we report that FOXJ1 is upregulated in most bladder cancer patients, and predicts poor clinical outcomes. FOXJ1 facilitates bladder cancer cell proliferation and colony formation. FOXJ1 knockdown suppresses bladder tumor growth in nude mice. Mechanistically, FOXJ1 enhances glycolysis by increasing glucose uptake, lactate production and extracellular acidification rate (ECAR), and decreasing ATP generation and oxygen consumption rate (OCR) in bladder cancer cells. Our findings provide clues regarding the role of FOXJ1 as a tumor inducer in bladder cancer and an enhancer in glycolysis. Targeting FOXJ1 could be a potential therapeutic strategy in bladder cancer.

Forkhead Box Protein J1 (FOXJ1) is Overexpressed in Colorectal Cancer and Promotes Nuclear Translocation of β-Catenin in SW620 Cells

Background

FOXJ1, which is a forkhead transcription factor, has been previously studied mostly as a ciliary transcription factor. The role of FOXJ1 in cancer progression is still elusive and controversial. In the present study, the effect of FOXJ1 in progression of colorectal cancer (CRC) was investigated.

Material/Methods

The pattern of FOXJ1 expression was investigated using the method of immunohistochemistry (IHC) in a tissue microarray (TMA) incorporating 50 pairs of colon cancer specimens and adjacent normal tissue. In addition, the correlation of FOXJ1 expression with clinicopathological characteristics was evaluated in the other TMA containing 208 cases of colon cancer. Moreover, the influence of regulating FOXJ1 level on the proliferation, migration, and invasion ability of colorectal cancer (CRC) cells was evaluated.

Results

Increased expression of FOXJ1was significantly associated with clinical stage (p<0.05), metastasis of lymph node (p<0.05), and invasion depth (p<0.001) in colon cancer, suggesting FOXJ1 is a tumor promoter in CRC. Consistently, FOXJ1 overexpression significantly enhanced the proliferation, migration, and invasion of CRC cells, while silencing of FOXJ1 induced the opposite effect. Furthermore, up-regulation of FOXJ1 in SW620 cells markedly inhibited the level of truncated APC and the phosphorylation of β-catenin, while the level of cyclinD1 was decreased. In addition, overexpression of FOXJ1 significantly promoted nuclear translocation of β-catenin in SW620 cells.

Conclusions

These findings demonstrate that increased FOXJ1 contributes to the progression of CRC, which might be associated with the promotion effect of β-catenin nuclear translocation. FOXJ1 may be a novel therapeutic target in CRC.

Ciliary transcription factors in cancer--how understanding ciliogenesis can promote the detection and prognosis of cancer types

Cilia play a plethora of roles in normal development and homeostasis as well as in disease. Their involvement in cell signalling processes and ability to inhibit cell cycle progression make them especially interesting subjects of investigation in the context of tumour formation and malignancy. Several key transcription factors regulate the transcriptional programme in cilia formation and some of these, eg RFX factors and FOXJ1, are implicated in cancer formation. Furthermore, RFX factors and FOXJ1 are increasingly being explored for their potential as markers to diagnose, classify and predict the outcome of cancers in patients, including recent work published in this journal on aggressive ependymoma and choroid plexus tumours. Here, some of the key findings and concepts on the roles of ciliary transcription factors in tumourigenesis are highlighted, and a brief perspective is given on how the investigation of ciliogenesis could contribute valuable tools for the diagnosis and prognosis of cancers.