Histologic Discordance Between Primary Tumor and Nodal Metastasis in Breast Cancer: Solving a Clinical Conundrum in the Era of Genomics

Next‐generation sequencing (NGS) technologies have become increasingly used for managing breast cancer. In addition to the conventional use of NGS for predicting recurrence risk and identifying potential actionable mutations, NGS can also serve as a powerful tool to understand clonal origin and evolution of tumor pairs and play a unique role in clarifying complex clinical presentations. We report an unusual case of early‐stage breast cancer in which the primary tumor and draining axillary node were histologically discordant. The primary tumor was invasive lobular carcinoma, whereas the nodal metastasis was invasive ductal carcinoma. This discordance led us to question whether the tumors had the same origin. NGS performed on both specimens identified no overlapping variants, leading us to conclude that the patient had two separate primary breast cancers, with the nodal tumor representing metastasis from an occult breast cancer. DNA sequencing of the primary tumor and the nodal metastasis allowed us to predict the patient''s recurrence risk, and we initiated adjuvant chemotherapy and hormonal therapy based on these results. This case illustrates the utility of NGS for successfully managing a rare and challenging case.Key Points

• A degree of molecular concordance is expected for tumors originating from a common stem or progenitor cell. Histological discordance and absence of any genomic overlap should raise suspicion for two separate primary tumors.
• Paired DNA sequencing of the primary tumor and nodal metastasis can inform clinical decisions when primary breast tumor and axillary metastasis are histologically discordant. Molecular/Precision Oncology Tumor Board is the best setting to facilitate such decisions in these challenging cases.
• Paired DNA sequencing under these rare circumstances may suggest an occult breast tumor.

     

阪崎肠杆菌培养上清蛋白引起HepG2肝细胞的基因表达变化

目的：通过高通量测序法分析阪崎肠杆菌培养上清蛋白引起HepG2肝细胞的基因表达变化,并探讨阪崎肠杆菌致病作用的分子机制。方法：采用CAYE培养基培养阪崎肠杆菌,硫酸铵沉淀法及膜透析法分离纯化上清蛋白;分别在1×10⁶/mL的HepG2肝细胞培养液中加入终浓度为1.6 μg/mL的上清蛋白稀释液及蒸馏水作为实验组和对照组,提取细菌总RNA;构建文库并运用illumina测序平台测序,分析两组间的基因表达差异,采用Gene Ontology（GO）富集分析和Pathway分析了解差异表达基因的功能;荧光定量PCR（qPCR）验证RPS18、RFC4基因差异表达结果。结果：高通量测序结果显示,与对照组相比,实验组HepG2细胞存在5 120个差异表达基因,其中上调2 155个,下调2 965个;GO富集分析显示差异基因主要参与细胞核分裂、有丝分裂、复制等多个生物学过程,Pathway分析显示差异基因主要与DNA复制、蛋白转运、精氨酸和脯氨酸代谢等有关;qPCR验证结果与高通量测序结果一致。结论：阪崎肠杆菌培养上清蛋白能够引起HepG2肝细胞RPS18、RFC4等基因的表达变化,并可能与核糖体变化和/或DNA复制与修复有关。     

Single-cell next-generation sequencing of circulating tumor cells in patients with neuroblastoma

Circulating tumor cells (CTCs) derived from any tumor tissue could contribute to metastasis and resistance to cancer treatments. In this study, we performed single-cell next-generation sequencing of CTCs and evaluated their usefulness for characterizing tumor biology and the mechanisms of metastasis in neuroblastomas (NB). We aimed to isolate CTCs from 10 patients with NB at diagnosis before any treatments and four patients at relapse. GD2⁺CD90⁺CD45⁻CD235a⁻DAPI⁻ cells were isolated as neuroblastoma CTCs using fluorescence-activated cell sorting. In five patients with advanced stages (M stage), DNA and RNA sequencing of CTCs at single-cell level were performed. NB CTCs were isolated from eight of the 10 patients at diagnosis and three of the four patients at relapse. More CTCs could be isolated from patients with advanced stages. In one patient, ALK mutation (p.F1174L), was identified in both tumor tissue and a CTC. In patients with MYCN amplification, this gene was amplified in 12 of 13 CTCs. Using single-cell RNA sequencing, angiogenesis-related and cell cycle-related genes together with CCND1 and TUBA1A genes were found to be upregulated in CTCs. In one patient, CTCs were divided into two subgroups showing different gene expression profiles. In one subgroup, cell cycle-related and proliferation-related genes were differentially upregulated compared with the other group. In conclusion, next-generation sequencing of CTCs at single-cell level might help to characterize the tumor biology and the mechanisms of metastasis in NB.     

SLC15A2 genomic variation is associated with the extraordinary response of sorafenib treatment: whole-genome analysis in patients with hepatocellular carcinoma

Reliable biomarkers are required to predict the response to sorafenib. We investigated genomic variations associated with responsiveness to sorafenib for patients with unresectable hepatocellular carcinoma (HCC). Blood samples from 2 extreme, 2 strong and 3 poor responders to sorafenib were subjected to whole-genome analysis. Then, we validated candidate genomic variations with another 174 HCC patients, and performed in vitro functional analysis and in silico analyses. Genomic data of >96 gigabases/sample was generated at average of ~34X sequencing depth. In total, 1813 genomic variations were matched to sorafenib responses in clinical data; 708 were located within regions for sorafenib-target genes or drug absorption, distribution, metabolism, and excretion (ADME)-related genes. From them, 36 variants were within the coding regions and 6 identified as non-synonymous single-nucleotide variants from 4 ADME-related genes (ABCB1, FMO3, MUSK, and SLC15A2). Validation genotyping confirmed sequencing results and revealed patients genotype for rs2257212 in SLC15A2 showed longer progression-free survival (HR = 2.18). In vitro study displayed different response to sorafenib depending on the genotype of SLC15A2. Structural prediction analysis revealed changes of the phosphorylation levels in protein, potentially affecting sorafenib-associated enzymatic activity. Our finding using extreme responder seems to generate robust biomarker to predict the response of sorafenib treatment for HCC.     

Optimizing Mutation and Fusion Detection in NSCLC by Sequential DNA and RNA Sequencing

IntroductionFrequently, patients with locally advanced or metastatic NSCLC are screened for mutations and fusions. In most laboratories, molecular workup includes a multitude of tests: immunohistochemistry (ALK, ROS1, and programmed death-ligand 1 testing), DNA sequencing, in situ hybridization for fusion, and amplification detection. With the fast-emerging new drugs targeting specific fusions and exon-skipping events, this procedure harbors a growing risk of tissue exhaustion.MethodsIn this study, we evaluated the benefit of anchored, multiplexed, polymerase chain reaction-based targeted RNA sequencing (RNA next-generation sequencing [NGS]) in the identification of gene fusions and exon-skipping events in patients, in which no pathogenic driver mutation was found by DNA-based targeted cancer hotspot NGS (DNA NGS). We analyzed a cohort of stage IV NSCLC cases from both in-house and referral hospitals, consisting 38.5% cytology samples and 61.5% microdissected histology samples, mostly core needle biopsies. We compared molecular findings in a parallel workup (DNA NGS and RNA NGS, cohort 1, n = 198) with a sequential workup (DNA NGS followed by RNA NGS in selected cases, cohort 2, n = 192). We hypothesized the sequential workup to be the more efficient procedure.ResultsIn both cohorts, a maximum of one oncogenic driver mutation was found per case. This is in concordance with large, whole-genome databases and suggests that it is safe to omit RNA NGS when a clear oncogenic driver is identified in DNA NGS. In addition, this reduced the number of necessary RNA NGS to only 53% of all cases. The tumors of never smokers, however, were enriched for fusions and exon-skipping events (32% versus 4% in former and current smokers, p = 0.00), and therefore benefited more often from the shorter median turnaround time of the parallel approach (15 d versus only 9 d in the parallel workup).ConclusionsWe conclude that sequentially combining DNA NGS and RNA NGS is the most efficient strategy for mutation and fusion detection in smoking-associated NSCLC, whereas for never smokers we recommend a parallel approach. This approach was shown to be feasible on small tissue samples including for cytology tests, can drastically reduce the complexity and cost of molecular workup, and also provides flexibility in the constantly evolving landscape of actionable targets in NSCLC.     

The covalent binding of metabolites of dimethylaminoazobenzene, β-naphthylamine and aniline to nucleic acids in vivo

• 1. Following injection of dimethylaminoazobenzene-³H labelled in the primed ring (150 mg/kg) into male albino rats and guinea-pigs maintained on a diet containing 10% protein, radioactivity was covalently bound to r-RNA, DNA, cytoplasmic protein and nuclear protein of liver and spleen.
• 2. For liver the maximum levels of binding (μM/g × 10²) were r-RNA 11.4, cytoplasmic protein 54, nuclear protein 39, DNA 1.4; for spleen: r-RNA 1.0, DNA 0.5, cytoplasmic protein 89, and nuclear protein 39; and for guinea-pig liver r-RNA 3.4, DNA 2.2, cytoplasmic protein 55, nuclear protein 28, indicating a much higher ratio of protein binding to r-RNA binding than in the rat (16 compared with 5). The difference in ratio was also large for the binding to two transplanted hepatomas in August and Hooded rats compared with albino rat liver (37 and 13).
• 3. For rat liver r-RNA and protein the decay of radioactivity paralleled the rate of turnover of r-RNA (as measured by orotic acid-³H incorporation) and of protein. The level of DNA-bound radioactivity remained constant for 290 hours.
• 4. The radioactivity associated with the nucleic acids and proteins remained bound after treatment with 0.3 N KOH which converts the nucleic acids to nucleotides, and with Crotalus adamanteus venom which converts them to purine and pyrimidine nucleosides. Treatment with N HCl for 1 hr at 100°C which forms purine bases and pyrimidine nucleotides and degrades proteins into peptides and amino acids, liberated the majority of the radioactivity so that it became extractable at various pH values.
• 5. The binding of β-naphthylamine-³H and aniline-³H hydrochloride to rat liver, spleen and kidney were also studied. Binding occurred to DNA, ribosomal RNA and protein in each case. For β-naphthylamine the levels of metabolite binding were similar to dimethylaminoazobenzene metabolite binding to guinea-pig liver components. For aniline hydrochloride, binding to ribosomal RNA and protein was of a low order.
• 6. The possible relevance of these findings to the problem of carcinogenesis is discussed.

     

The potential and limitation of targeted chromosomal breakpoint sequencing for the ROS1 fusion gene identification in lung cancer

ROS1 fusion genes are rare but important driver genes in lung cancer. Owing to their rarity, many clinicopathological features and treatment responses for each ROS1 fusion variant are still largely unknown and require further investigation. RNA is the preferable template for the ROS1 fusion gene screening, but deterioration of RNA in FFPE often makes the detection challenging. To resolve the difficulty, a targeted chromosomal breakpoint sequencing method was developed for searching the ROS1 fusion gene, and was compared with fluorescence in situ hybridization, immunohistochemistry, RT-qPCR using 260 lung cancer samples of Southern Taiwan. The results showed that ROS1-altered cases were present at low frequencies, did not share distinct clinicopathological features, and often carried other driver mutations. The performance of the targeted sequencing assay was superior to the RT-qPCR in ROS1 fusion gene identification when the cDNAs were from FFPE samples, but long-read DNA sequencing and fresh-frozen samples would be better to revolve all fusion genes. Precise determination of all ROS1 fusion variants and concomitant driver mutations using both genomic DNA and RNA would be required to help improve the treatment of patients with ROS1 alterations.     

Multi-platform profiling of over 2000 sarcomas: Identification of biomarkers and novel therapeutic targets

Background: Drug development in sarcoma has been hampered by the rarity and heterogeneity of the disease and lack of predictive biomarkers to therapies. We assessed protein expression and gene alterations in a large number of bone and soft tissue sarcomas in order to categorize the molecular alterations, identify predictive biomarkers and discover new therapeutic targets. Methods: Data from sarcoma specimens profiled for protein expression, gene amplification/translocation and DNA sequencing was reviewed. Results: 2539 sarcoma specimens of 22 subtypes were included. TOPO2A was the most overexpressed protein at 52.8%. There was overexpression or loss of other sarcoma relevant proteins such as SPARC, PTEN and MGMT. Approximately 50% of the sarcomas expressed PD-L1 by IHC and presented with PD-1+ TILs, notably the LMS, chondrosarcomas, liposarcomas and UPS. Gene amplification/rearrangement of ALK, cMYC, HER2, PIK3CA, TOPO2A and cMET was relatively uncommon. EGFR gene amplification occurred at a rate of 16.9%. DNA sequencing of 47 genes identified mutations in 47% of the samples. The most commonly mutated genes were TP53 (26.3%) and BRCA2 (17.6%). Overexpression of TOPO2A was associated with TP53 mutation (P = 0.0001). Conclusion: This data provides the landscape of alterations in sarcoma. Future clinical trials are needed to validate these targets.     

Characterization of somatic mutations and pathway alterations during hepatocellular carcinoma vascular invasion using next-generation sequencing

BackgroundVascular invasion is an independent risk factors for recurrence and poor prognosis in patients with hepatocellular carcinoma (HCC). However, the molecular mechanisms of HCC vascular invasion are largely unknown. Deciphering the molecular changes associated with the vascular invasion process will aid in the identification of therapeutic targets and treatment for patients with HCC.MethodsDNA was extracted from tumor specimens and blood samples collected from 50 patients with HCC. Next-generation sequencing (NGS) was performed to detect HCC gene variants. Bioinformatics methods were used to comprehensively analyze the three sets of sequencing data grouped by vascular invasion, including differences in tumor mutation burden (TMB), mutation characteristics, and alterations in signaling pathways.ResultsBioinformatics analysis detected a total of 762 single nucleotide variants (SNVs). The TMB was not significantly different between patients with macrovascular invasion, microvascular invasion (MVI), or avascular invasion. Ten genes related to prognosis or recurrence, and one oncogene related to vascular invasion were screened. Compared with the avascular invasion cluster, the variant genes in the macrovascular and MVI clusters were mainly enriched in the thyroid hormone signaling pathway. In addition, macrovascular invasion variant genes were also enriched in the insulin signaling pathway and the Fanconi anemia pathway.ConclusionsSomatic mutations and pathway changes associated with vascular invasion in HCC were identified. The discovery of the molecular drivers of vascular invasion in HCC provides novel insights that can help guide further patient diagnosis and personalized therapy.     

Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer

Liquid biopsies, examinations of tumor components in body fluids, have shown promise for predicting clinical outcomes. To evaluate tumor-associated genomic and genetic variations in plasma cell-free DNA (cfDNA) and their associations with treatment response and overall survival, we applied whole genome and targeted sequencing to examine the plasma cfDNAs derived from 20 patients with advanced prostate cancer. Sequencing-based genomic abnormality analysis revealed locus-specific gains or losses that were common in prostate cancer, such as 8q gains, AR amplifications, PTEN losses and TMPRSS2-ERG fusions. To estimate tumor burden in cfDNA, we developed a Plasma Genomic Abnormality (PGA) score by summing the most significant copy number variations. Cox regression analysis showed that PGA scores were significantly associated with overall survival (p < 0.04). After androgen deprivation therapy or chemotherapy, targeted sequencing showed significant mutational profile changes in genes involved in androgen biosynthesis, AR activation, DNA repair, and chemotherapy resistance. These changes may reflect the dynamic evolution of heterozygous tumor populations in response to these treatments. These results strongly support the feasibility of using non-invasive liquid biopsies as potential tools to study biological mechanisms underlying therapy-specific resistance and to predict disease progression in advanced prostate cancer.     

Nanopore sequencing detects structural variants in cancer

Despite advances in sequencing, structural variants (SVs) remain difficult to reliably detect due to the short read length (<300 bp) of 2nd generation sequencing. Not only do the reads (or paired-end reads) need to straddle a breakpoint, but repetitive elements often lead to ambiguities in the alignment of short reads. We propose to use the long-reads (up to 20 kb) possible with 3rd generation sequencing, specifically nanopore sequencing on the MinION. Nanopore sequencing relies on a similar concept to a Coulter counter, reading the DNA sequence from the change in electrical current resulting from a DNA strand being forced through a nanometer-sized pore embedded in a membrane. Though nanopore sequencing currently has a relatively high mismatch rate that precludes base substitution and small frameshift mutation detection, its accuracy is sufficient for SV detection because of its long reads. In fact, long reads in some cases may improve SV detection efficiency.

We have tested nanopore sequencing to detect a series of well-characterized SVs, including large deletions, inversions, and translocations that inactivate the CDKN2A/p16 and SMAD4/DPC4 tumor suppressor genes in pancreatic cancer. Using PCR amplicon mixes, we have demonstrated that nanopore sequencing can detect large deletions, translocations and inversions at dilutions as low as 1:100, with as few as 500 reads per sample. Given the speed, small footprint, and low capital cost, nanopore sequencing could become the ideal tool for the low-level detection of cancer-associated SVs needed for molecular relapse, early detection, or therapeutic monitoring.     

Capture-Based Targeted Ultradeep Sequencing in Paired Tissue and Plasma Samples Demonstrates Differential Subclonal ctDNA-Releasing Capability in Advanced Lung Cancer

IntroductionCirculating tumor DNA (ctDNA), which represents an unbiased way to assess tumor genetic profile noninvasively, facilitates studying intratumor heterogeneity. Although intratumor heterogeneity has been elucidated substantially in a few cancer types, including NSCLC, how it influences the ability of tumor cells harboring different genetic abnormalities in releasing their DNA remains elusive. We designed a capture-based panel targeting NSCLC to detect and quantify genetic alterations from plasma samples by using deep sequencing. By applying the panel to paired biopsy and plasma samples, we imputed and compared the ctDNA-releasing efficiency in subclones harboring distinct genetic variants.MethodsWe collected 40 pairs of matched biopsy and plasma samples from patients with advanced lung cancer and applied capture-based sequencing using our LungPlasma panel, which consists of critical exons and introns of 168 genes. We derived a normalized relative allelic fraction score (NRAFS) to reflect ctDNA-releasing efficiency.ResultsBy using mutations detected in biopsy samples as a reference, we achieved 87.2% by-variant sensitivity, including for single-nucleotide variants, insertions or deletions, and gene fusions. Furthermore, the by-variant sensitivity for the seven most critical and actionable genes was 96.2%. The average NRAFS for subclones carrying mutations from seven actionable genes was 0.877; in contrast, the average NRAFS for other mutations was 0.658. Mutations from four genes involved in cell cycle pathways had a particularly low NRAFS (0.480) compared with the other two groups (p = 0.07).ConclusionsWe have demonstrated that subclones carrying driver mutations are more prone to release DNA. We have also demonstrated the quantitative ability of capture-based sequencing, paving its way for routine utilization in clinical settings.     

Deep RNA Sequencing Revealed Fusion Junctional Heterogeneity May Predict Crizotinib Treatment Efficacy in ALK-Rearranged NSCLC

IntroductionGene fusion variants in ALK-rearranged NSCLC may predict patient outcomes, but previous results have been inconclusive. Fusion isoforms coexisting in the same tumor may affect the efficacy of targeted therapy, but they have not been investigated.MethodsPatients with ALK-rearranged NSCLC who received crizotinib treatments were recruited. Precrizotinib tumor tissues were analyzed by the anchored multiplex polymerase chain reaction for targeted RNA sequencing. Kaplan-Meier and Cox regression were used to compare overall and progression-free survivals.ResultsOf the 51 studied subjects, EML4-ALK variant types v1, v2, v3, and others were detected in 23 (45.1%), five (9.8%), 19 (37.3%), and four patients (7.8%), respectively. Multiple EML4-ALK RNA isoforms were detected in 24 tumors (47.1%), and single isoform in 27 (52.9%). Most of the v3 tumors (16 of 19) harbored both v3a and v3b RNA isoforms. Multiple isoforms were also detected in eight non-v3 tumors (33.3% of all 24 multiple isoforms; five v1, two v5′, and one v2). Compared with patients with single isoform, those with multiple isoforms had worse progression-free (hazard ratio and 95% confidence interval: 2.45 [1.06–5.69]) and overall (hazard ratio [95% confidence interval]: 3.74 [1.26–11.13]) survivals after adjusting for potential confounders including variant type. Using the patient-derived H2228 cells known to express v3a and v3b, our single-cell polymerase chain reaction detected either v3a or v3b in most single cells. Treatment of H2228 cells by three ALK inhibitors revealed increased ratios of v3a-to-v3b expression over time.ConclusionsIntratumoral EML4-ALK isoforms may predict the efficacy of targeted therapy in ALK-rearranged NSCLC. Temporal changes of intratumoral fusion isoforms may result from differential selection pressures that a drug might have on one isoform over another. Larger studies on fusion heterogeneity using RNA sequencing are warranted.     

Clonal origins and parallel evolution of regionally synchronous colorectal adenoma and carcinoma

Although the colorectal adenoma-to-carcinoma sequence represents a classical cancer progression model, the evolution of the mutational landscape underlying this model is not fully understood. In this study, we analyzed eight synchronous pairs of colorectal high-grade adenomas and carcinomas, four microsatellite-unstable (MSU) and four -stable (MSS) pairs, using whole-exome sequencing. In the MSU adenoma-carcinoma pairs, we observed no subclonal mutations in adenomas that became fixed in paired carcinomas, suggesting a ‘parallel’ evolution of synchronous adenoma-to-carcinoma, rather than a ‘stepwise’ evolution. The abundance of indel (in MSU and MSS pairs) and microsatellite instability (in MSU pairs) was noted in the later adenoma- or carcinoma-specific mutations, indicating that the mutational processes and functional constraints operative in early and late colorectal carcinogenesis are different. All MSU cases exhibited clonal, truncating mutations in ACVR2A, TGFBR2, and DNA mismatch repair genes, but none were present in APC or KRAS. In three MSS pairs, both APC and KRAS mutations were identified as both early and clonal events, often accompanying clonal copy number changes. An MSS case uniquely exhibited clonal ERBB2 amplification, followed by APC and TP53 mutations as carcinoma-specific events. Along with the previously unrecognized clonal origins of synchronous colorectal adenoma-carcinoma pairs, our study revealed that the preferred sequence of mutational events during colorectal carcinogenesis can be context-dependent.     

Using plasma cell-free DNA to monitor the chemoradiotherapy course of cervical cancer

The liquid biopsy is being integrated into cancer diagnostics and surveillance. However, critical questions still remain, such as how to precisely evaluate cancer mutation burden and interpret the corresponding clinical implications. Herein, we evaluated the role of peripheral blood cell-free DNA (cfDNA) in characterizing the dynamic mutation alterations of 48 cancer driver genes from cervical cancer patients. We performed targeted deep sequencing on 93 plasma cfDNA from 57 cervical cancer patients and from this developed an algorithm, allele fraction deviation (AFD), to monitor in an unbiased manner the dynamic changes of genomic aberrations. Differing treatments, including chemotherapy (n = 22), radiotherapy (n = 14) and surgery (n = 15), led to a significant decrease in AFD values (Wilcoxon, p = 0.029). The decrease of cfDNA AFD values was accompanied by shrinkage in the size of the tumor in most patients. However, in a subgroup of patients where cfDNA AFD values did not reflect a reduction in tumor size, there was a detection of progressive disease (metastasis). Furthermore, a low AFD value at diagnosis followed a later increase of AFD value also successfully predicted relapse. These results show that plasma cfDNA, together with targeted deep sequencing, may help predict treatment response and disease development in cervical cancer.     

HNRNPLL stabilizes mRNA for DNA replication proteins and promotes cell cycle progression in colorectal cancer cells

Heterogeneous nuclear ribonucleoprotein L‐like (HNRNPLL), an RNA‐binding protein that regulates alternative splicing of pre‐mRNA, has been shown to regulate differentiation of lymphocytes, as well as metastasis of colorectal cancer cells. Here, we show that HNRNPLL promotes cell cycle progression and, hence, proliferation of colorectal cancer cells. Functional annotation analysis of those genes whose expression levels were changed threefold or more in RNA sequencing analysis between SW480 cells overexpressing HNRNPLL and those knocked down for HNRNPLL revealed enrichment of DNA replication‐related genes by HNRNPLL overexpression. Among 13 genes detected in the DNA replication pathway, PCNA, RFC3 and FEN1 showed reproducible upregulation by HNRNPLL overexpression both at mRNA and at protein levels in SW480 and HT29 cells. Importantly, knockdown of any of these genes alone suppressed the proliferation‐promoting effect induced by HNRNPLL overexpression. RNA‐immunoprecipitation assay presented a binding of FLAG‐tagged HNRNPLL to mRNA of these genes, and HNRNPLL overexpression significantly suppressed the downregulation of these genes during 12 h of actinomycin D treatment, suggesting a role of HNRNPLL in mRNA stability. Finally, analysis of a public RNA sequencing dataset of clinical samples suggested a link between overexpression of HNRNPLL and that of PCNA, RFC3 and FEN1. This link was further supported by immunohistochemistry of colorectal cancer clinical samples, whereas expression of CDKN1A, which is known to inhibit the cooperative function of PCNA, RFC3 and FEN1, was negatively associated with HNRNPLL expression. These results indicate that HNRNPLL stabilizes mRNA encoding regulators of DNA replication and promotes colorectal cancer cell proliferation.     

Down-regulation of mitochondrial ATPase by hypermethylation mechanism in chronic myeloid leukemia is associated with multidrug resistance

BackgroundTo identify novel proteins involved in multidrug resistance in chronic myeloid leukemia (CML).Materials and methodsComparative proteomics was used to screen multidrug resistance-related proteins from K562 and K562/A02; the differently expressed proteins were further confirmed by western blot and real-time PCR. short hairpin RNA (shRNA) assay was applied to determine the relationship between candidate protein and adriamycin resistance. Bisulfite sequencing was carried out to assess methylation status of candidate multidrug resistance-related gene promoter. K562/A02 was treated with 5-azacytidine or trichostatin A (TSA); multidrug resistance phenotype and corresponding protein or gene changes were detected.ResultsSeventeen proteins with altered abundances of more than twofold were detected, among which mitochondrial ATPase in K562/A02 was significantly down-regulated. Suppressing mitochondrial ATPase by shRNA could enhance adriamycin resistance and antiapoptosis activity of K562. The promoter hypermethylation in mitochondrial ATPase was found to be attributed to the adriamycin-resistant phenotype of both K562/A02 (methylated frequency 18.18%) and CML primary cells in accelerated phase (methylated frequency 7.95%) or blast crisis (methylated frequency 26.59%). Inhibition of hypermethylation increased adriamycin sensitivity of K562/A02. A synergistic effect on reversing adriamycin-resistant phenotype was obtained when 5-azacytidine was combined with TSA.ConclusionDown-regulation of mitochondrial ATPase can lead to adriamycin resistance in CML and the mechanism is associated with DNA methylation regulation.