BACKGROUND AND OBJECTIVE: Membrane solute carrier transporters play an important role in the transport of a wide spectrum of substrates including anticancer drugs and cancer-related physiological substrates. This study aimed to assess the prognostic relevance of gene expression and genetic variability of selected solute carrier transporters in breast cancer. METHODS: Gene expression was determined by quantitative real-time polymerase chain reaction. All SLC46A1 and SLCO1A2 exons and surrounding non-coding sequences in DNA extracted from the blood of patients with breast cancer (exploratory phase) were analyzed by next-generation sequencing technology. Common variants (minor allele frequency ≥ 5%) with in silico-predicted functional relevance were further analyzed in a large cohort of patients with breast cancer (n = 815) and their prognostic and predictive potential was estimated (validation phase). RESULTS: A gene expression and bioinformatics analysis suggested SLC46A1 and SLCO1A2 to play a putative role in the prognosis of patients with breast cancer. In total, 135 genetic variants (20 novel) were identified in both genes in the exploratory phase. Of these variants, 130 were non-coding, three missense, and two synonymous. One common variant in SLCO1A2 and four variants in SLC46A1 were predicted to be pathogenic by in silico programs and subsequently validated. A SLC46A1 haplotype block composed of rs2239911-rs2239910-rs8079943 was significantly associated with ERBB2/HER2 status and disease-free survival of hormonally treated patients. CONCLUSIONS: This study revealed the prognostic value of a SLC46A1 haplotype block for breast cancer that should be further studied.

• MeSH
• Survival Analysis MeSH
• Proton-Coupled Folate Transporter genetics   MeSH
• Genetic Variation * MeSH
• Haplotypes MeSH
• Real-Time Polymerase Chain Reaction MeSH
• Humans MeSH
• Biomarkers, Tumor genetics   MeSH
• Breast Neoplasms genetics   MeSH
• Organic Anion Transporters genetics   MeSH
• Prognosis MeSH
• Gene Expression Regulation, Neoplastic MeSH
• Sequence Analysis, DNA MeSH
• High-Throughput Nucleotide Sequencing MeSH
• Check Tag
• Humans MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Proton-Coupled Folate Transporter MeSH
• Biomarkers, Tumor MeSH
• Organic Anion Transporters MeSH
• SLC46A1 protein, human MeSH Browser
• SLCO1A2 protein, human MeSH Browser

ATP-binding cassette (ABC) and solute carrier (SLC) transporters translocate diverse substances across cellular membranes and their deregulation may cause drug resistance of cancers. This study investigated significance of protein expression and cellular localization of the previously suggested putative prognostic markers ABCC2 and SLC22A3 in pancreatic cancer patients. Protein localization and brush border staining intensity of ABCC2 and SLC22A3 was assessed in tumor tissue blocks of 65 pancreatic cancer patients and associated with clinical data and survival of patients with regard to therapy. Negative SLC22A3 brush border staining in pancreatic tumors significantly increased the risk of both disease progression and patient´s death in univariate analyses. Multivariate analyses confirmed the association of SLC22A3 expression with progression-free survival of patients. A subgroup analysis of patients treated with regimens based on nucleoside analogs suggested that patients with negative brush border staining or apical localization of SLC22A3 in tumor cells have worse overall survival. The combination of positive ABCC2 and negative SLC22A3 brush border staining predicted worst overall survival and patients with positive brush border staining of both proteins had best overall and progression-free survival. The present study shows for the first time that the protein presence and to some extent also localization of SLC22A3 significantly associate with prognosis of pancreatic cancer in both unstratified and chemotherapy-treated patients. The combination of ABCC2 and SLC22A3 brush border staining also needs further attention in this regard.

• MeSH
• Adenocarcinoma * metabolism   mortality   pathology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Survival Rate MeSH
• Neoplasm Proteins biosynthesis   MeSH
• Pancreatic Neoplasms * metabolism   mortality   pathology   MeSH
• Disease-Free Survival MeSH
• Multidrug Resistance-Associated Protein 2 MeSH
• Organic Cation Transport Proteins biosynthesis   MeSH
• Multidrug Resistance-Associated Proteins biosynthesis   MeSH
• Gene Expression Regulation, Neoplastic * MeSH
• Aged MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Clinical Trial MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• ABCC2 protein, human MeSH Browser
• Neoplasm Proteins MeSH
• Multidrug Resistance-Associated Protein 2 MeSH
• Organic Cation Transport Proteins MeSH
• Multidrug Resistance-Associated Proteins MeSH
• solute carrier family 22 (organic cation transporter), member 3 MeSH Browser

The KRAS signalling pathway is pivotal for pancreatic ductal adenocarcinoma (PDAC) development. After the failure of most conventional cytotoxic and targeted therapeutics tested so far, the combination of taxane nab-paclitaxel (Abraxane) with gemcitabine recently demonstrated promising improvements in the survival of PDAC patients. This study aimed to explore interactions of conventional paclitaxel and experimental taxane SB-T-1216 with the KRAS signalling pathway expression in in vivo and in vitro PDAC models in order to decipher potential predictive biomarkers or targets for future individualised therapy. Mouse PDAC PaCa-44 xenograft model was used for evaluation of changes in transcript and protein levels of the KRAS signalling pathway caused by administration of experimental taxane SB-T-1216 in vivo. Subsequently, KRAS wild-type (BxPc-3) and mutated (MiaPaCa-2 and PaCa-44) cell line models were treated with paclitaxel to verify dysregulation of the KRAS signalling pathway gene expression profile in vitro and investigate the role of KRAS mutation status. By comparing the gene expression profiles, this study observed for the first time that in vitro cell models differ in the basal transcriptional profile of the KRAS signalling pathway, but there were no differences between KRAS mutated and wild-type cells in sensitivity to taxanes. Generally, the taxane administration caused a downregulation of the KRAS signalling pathway both in vitro and in vivo, but this effect was not dependent on the KRAS mutation status. In conclusion, putative biomarkers for prediction of taxane activity or targets for stimulation of taxane anticancer effects were not discovered by the KRAS signalling pathway profiling in various PDAC models.

• MeSH
• Albumins pharmacology   MeSH
• Deoxycytidine analogs & derivatives   pharmacology   MeSH
• Carcinoma, Pancreatic Ductal drug therapy   genetics   MeSH
• Gemcitabine MeSH
• Humans MeSH
• Mice, Nude MeSH
• Mice MeSH
• Biomarkers, Tumor genetics   MeSH
• Cell Line, Tumor MeSH
• Pancreatic Neoplasms drug therapy   genetics   MeSH
• Paclitaxel pharmacology   MeSH
• Bridged-Ring Compounds pharmacology   MeSH
• Cell Proliferation drug effects   genetics   MeSH
• Antineoplastic Combined Chemotherapy Protocols pharmacology   MeSH
• Proto-Oncogene Proteins p21(ras) genetics   MeSH
• Signal Transduction drug effects   genetics   MeSH
• Taxoids pharmacology   MeSH
• Transcriptome drug effects   genetics   MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Mice MeSH
• Female MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• 130-nm albumin-bound paclitaxel MeSH Browser
• Albumins MeSH
• Deoxycytidine MeSH
• Gemcitabine MeSH
• KRAS protein, human MeSH Browser
• Biomarkers, Tumor MeSH
• Paclitaxel MeSH
• Bridged-Ring Compounds MeSH
• Proto-Oncogene Proteins p21(ras) MeSH
• taxane MeSH Browser
• Taxoids MeSH

The aim of our study was to set up a panel for targeted sequencing of chemoresistance genes and the main transcription factors driving their expression and to evaluate their predictive and prognostic value in breast cancer patients. Coding and regulatory regions of 509 genes, selected from PharmGKB and Phenopedia, were sequenced using massive parallel sequencing in blood DNA from 105 breast cancer patients in the testing phase. In total, 18,245 variants were identified of which 2565 were novel variants (without rs number in dbSNP build 150) in the testing phase. Variants with major allele frequency over 0.05 were further prioritized for validation phase based on a newly developed decision tree. Using emerging in silico tools and pharmacogenomic databases for functional predictions and associations with response to cytotoxic therapy or disease-free survival of patients, 55 putative variants were identified and used for validation in 805 patients with clinical follow up using KASPTM technology. In conclusion, associations of rs2227291, rs2293194, and rs4376673 (located in ATP7A, KCNAB1, and DFFB genes, respectively) with response to neoadjuvant cytotoxic therapy and rs1801160 in DPYD with disease-free survival of patients treated with cytotoxic drugs were validated and should be further functionally characterized.

• Keywords
• breast cancer, chemoresistance, in silico prediction, next generation sequencing, pharmacogenomics,
• Publication type
• Journal Article MeSH

Pancreatic ductal adenocarcinoma (PDAC) is a tumor with a poor prognosis, and no targeted therapy is currently available. The aim of the present study was to investigate the prognostic significance of the expression of V-Ki-ras2 Κirsten rat sarcoma viral oncogene homolog (KRAS), downstream signaling pathway genes and the association with clinical characteristics in PDAC patients undergoing radical surgery. Tumors and adjacent non-neoplastic pancreatic tissues were examined in 45 patients with histologically verified PDAC. KRAS and B-Raf proto-oncogene, serine/threonine kinase (BRAF) gene mutation analysis was performed using the KRAS/BRAF/phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α array. The transcript profile of 52 KRAS downstream signaling pathway genes was assessed using quantitative-polymerase chain reaction. KRAS mutation was detected in 80% of cases. The genes of four signaling pathways downstream of KRAS, including the phosphoinositide 3-kinase/3-phosphoinositide-dependent protein kinase 1/V-akt murine thymoma viral oncogene homolog 1, RAL guanine nucleotide exchange factor, Ras and Rab interactor 1/ABL proto-oncogene-1, non-receptor tyrosine kinase, and RAF proto-oncogene serine/threonine-protein kinase/mitogen-activated protein kinase pathways, exhibited differential expression in PDAC compared with that in the adjacent normal tissues. However, no significant differences in expression were evident between patients with KRAS-mutated and wild-type tumors. The expression of KRAS downstream signaling pathways genes did not correlate with angioinvasion, perineural invasion, grade or presence of lymph node metastasis. Additionally, the presence of KRAS mutations was not associated with overall survival. Among the KRAS downstream effective signaling pathways molecules investigated, only v-raf-1 murine leukemia viral oncogene homolog 1 expression was predictive of prognosis. Overall, KRAS mutation is present in the majority of cases of PDAC, but is not associated with changes in the expression of KRAS downstream signaling pathways and the clinical outcome. This may partly explain the failure of KRAS-targeted therapies in PDAC.

• Keywords
• KRAS, gene expression, mutation, overall survival, pancreatic ductal adenocarcinoma,
• Publication type
• Journal Article MeSH

The Hedgehog pathway is one of the major driver pathways in pancreatic ductal adenocarcinoma. This study investigated prognostic importance of Hedgehog signaling pathway in pancreatic cancer patients who underwent a radical resection. Tumors and adjacent non-neoplastic pancreatic tissues were obtained from 45 patients with histologically verified pancreatic cancer. The effect of experimental taxane chemotherapy on the expression of Hedgehog pathway was evaluated in vivo using a mouse xenograft model prepared using pancreatic cancer cell line Paca-44. Mice were treated by experimental Stony Brook Taxane SB-T-1216. The transcript profile of 34 Hedgehog pathway genes in patients and xenografts was assessed using quantitative PCR. The Hedgehog pathway was strongly overexpressed in pancreatic tumors and upregulation of SHH, IHH, HHAT and PTCH1 was associated with a trend toward decreased patient survival. No association of Hedgehog pathway expression with KRAS mutation status was found in tumors. Sonic hedgehog ligand was overexpressed, but all other downstream genes were downregulated by SB-T-1216 treatment in vivo. Suppression of HH pathway expression in vivo by taxane-based chemotherapy suggests a new mechanism of action for treatment of this aggressive tumor.

• MeSH
• Carcinoma, Pancreatic Ductal drug therapy   genetics   MeSH
• Middle Aged MeSH
• Humans MeSH
• Mutation MeSH
• Mice, Nude MeSH
• Pancreatic Neoplasms drug therapy   genetics   MeSH
• Disease-Free Survival MeSH
• Hedgehog Proteins genetics   MeSH
• Proto-Oncogene Proteins p21(ras) genetics   MeSH
• Aged MeSH
• Taxoids administration & dosage   therapeutic use   MeSH
• Transcriptome drug effects   MeSH
• Treatment Outcome MeSH
• Xenograft Model Antitumor Assays MeSH
• Animals MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• KRAS protein, human MeSH Browser
• Hedgehog Proteins MeSH
• Proto-Oncogene Proteins p21(ras) MeSH
• Taxoids MeSH

Expression of the solute carrier (SLC) transporter SLC22A3 gene is associated with overall survival of pancreatic cancer patients. This study tested whether genetic variability in SLC22A3 associates with pancreatic cancer risk and prognosis. Twenty four single nucleotide polymorphisms (SNPs) tagging the SLC22A3 gene sequence and regulatory elements were selected for analysis. Of these, 22 were successfully evaluated in the discovery phase while six significant or suggestive variants entered the validation phase, comprising a total study number of 1,518 cases and 3,908 controls. In the discovery phase, rs2504938, rs9364554, and rs2457571 SNPs were significantly associated with pancreatic cancer risk. Moreover, rs7758229 associated with the presence of distant metastases, while rs512077 and rs2504956 correlated with overall survival of patients. Although replicated, the association for rs9364554 did not pass multiple testing corrections in the validation phase. Contrary to the discovery stage, rs2504938 associated with survival in the validation cohort, which was more pronounced in stage IV patients. In conclusion, common variation in the SLC22A3 gene is unlikely to significantly contribute to pancreatic cancer risk. The rs2504938 SNP in SLC22A3 significantly associates with an unfavorable prognosis of pancreatic cancer patients. Further investigation of this SNP effect on the molecular and clinical phenotype is warranted.

• MeSH
• Adult MeSH
• Carcinoma, Pancreatic Ductal genetics   pathology   MeSH
• Genetic Predisposition to Disease genetics   MeSH
• Polymorphism, Single Nucleotide * MeSH
• Kaplan-Meier Estimate MeSH
• Middle Aged MeSH
• Humans MeSH
• Pancreatic Neoplasms genetics   pathology   MeSH
• Prognosis MeSH
• Organic Cation Transport Proteins genetics   MeSH
• Risk Factors MeSH
• Aged MeSH
• Enhancer Elements, Genetic genetics   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Organic Cation Transport Proteins MeSH
• solute carrier family 22 (organic cation transporter), member 3 MeSH Browser

While 5-fluorouracil used as single agent in patients with metastatic colorectal cancer has an objective response rate around 20%, the administration of combinations of irinotecan with 5-fluorouracil/folinic acid or oxaliplatin with 5-fluorouracil/folinic acid results in significantly increased response rates and improved survival. However, the side effects of systemic therapy such as myelotoxicity, neurotoxicity or gastrointestinal toxicity may lead to life-threatening complications and have a major impact on the quality of life of the patients. Therefore, biomarkers that would be instrumental in the choice of optimal type, combination and dose of drugs for an individual patient are urgently needed. The efficacy and toxicity of anticancer drugs in tumor cells is determined by the effective concentration in tumor cells, healthy tissues and by the presence and quantity of the drug targets. Enzymes active in drug metabolism and transport represent important determinants of the therapeutic outcome. The aim of this review was to summarize published data on associations of gene and protein expression, and genetic variability of putative biomarkers with response to therapy of colorectal cancer to 5-fluorouracil/leucovorin/oxaliplatin and 5-fluorouracil/leukovorin/irinotecan regimens. Gaps in the knowledge identified by this review may aid the design of future research and clinical trials.

• Keywords
• 5-Fluorouracil, Chemotherapy, Colorectal cancer, Irinotecan, Oxaliplatin,
• MeSH
• Biotransformation genetics   MeSH
• Drug Resistance, Neoplasm genetics   MeSH
• Pharmacogenetics * MeSH
• Phenotype MeSH
• Fluorouracil administration & dosage   MeSH
• Precision Medicine * MeSH
• Irinotecan MeSH
• Camptothecin administration & dosage   analogs & derivatives   MeSH
• Colorectal Neoplasms drug therapy   genetics   MeSH
• Leucovorin administration & dosage   MeSH
• Humans MeSH
• Biomarkers, Tumor genetics   MeSH
• Organoplatinum Compounds administration & dosage   MeSH
• Oxaliplatin MeSH
• Antineoplastic Combined Chemotherapy Protocols adverse effects   pharmacokinetics   therapeutic use   MeSH
• Treatment Outcome MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH
• Names of Substances
• Fluorouracil MeSH
• Irinotecan MeSH
• Camptothecin MeSH
• Leucovorin MeSH
• Biomarkers, Tumor MeSH
• Organoplatinum Compounds MeSH
• Oxaliplatin MeSH