p27, a cyclin-dependent kinase inhibitor, functions as a tumour suppressor in the nucleus but may acquire oncogenic properties when mislocalized to the cytoplasm. While KRAS mutations can induce p27 phosphorylation and cytoplasmic retention, the regulation and significance of p27 expression in wild-type (WT) KRAS colorectal cancer (CRC) remain unclear. This study investigated the relationship between WT KRAS status and p27 localization, as well as the potential roles of miR-221/222 expression and the CDKN1B V109G polymorphism in CRC susceptibility. Immunohistochemical analysis of 50 WT KRAS CRCs and adjacent normal tissues revealed the highest percentage of p27-positive cells in the superficial layer of normal mucosa and significantly fewer in the tumour center. WT KRAS tumours with KRAS expression showed increased p27 expression and predominant cytoplasmic localization at the invasive front, suggesting altered p27 subcellular distribution. miR-221/222 expression showed no correlation with p27 levels, and the CDKN1B V109G polymorphism was not associated with CRC risk. This study is the first to examine p27 localization in WT KRAS CRC. The observed association between WT KRAS expression and cytoplasmic p27 localization highlights a potential mechanism contributing to tumour progression through altered p27 function.

BACKGROUND:Emerging evidence suggests that tumour morphological heterogeneity may influence mutational profiles relevant to therapy response. In this pilot study, we aimed to assess whether mutations identified within specific morphological patterns or at the invasion front correlate with shorter time to progression after anti-EGFR therapy, as compared to whole-tissue analysis. METHODS:We investigated genetic mutations in 142 samples from primary tumours of 39 KRAS wild-type metastatic colorectal cancer (CRC) patients receiving anti-EGFR therapy. Deep next-generation sequencing was performed on whole-tumour sections and six morphology-defined tumour regions. RESULTS:Mutations in genes linked to anti-EGFR therapy response (KRAS, BRAF, NRAS, PTEN and PI3KCA) were found uniquely in the non-responder group, with substantial variability across morphological sub-regions. BRAF mutations were aligned with serrated and mucinous morphologies, while KRAS mutations (p.Lys147Glu and p.Ala146Thr) were associated with mucinous and desmoplastic morphologies. In all cases, the cumulative mutational profile from sub-regions provided more details than that of the whole-tumour profile. CONCLUSION:Our findings highlight that comprehensive analysis, considering morphological heterogeneity, is crucial for personalised CRC treatment strategies.

Early diagnosis of colorectal cancer (CRC) is crucial for successful treatment and mortality reduction. In this regard, blood-based tests play an indispensable role. Current research is focused on molecules actively secreted by tumor cells into small extracellular vesicles (EVs). This four-phase study included 613 CRC patients, 446 controls, and 120 precancerous lesions. High-throughput transcriptome profiling of small EVs was performed on samples from 100 CRC patients and 50 controls, followed by extensive validation using reverse transcription quantitative polymerase chain reaction. Diagnostic panels were developed via logistic regression and further characterized by enrolling samples from gastric cancer patients, CRC patients before/after surgery, and samples of tumor tissues/adjacent mucosa. We identified 17 molecules significantly elevated in CRC, with the highest levels in metastatic cases. Additionally, seven of them differentiated controls from precancerous lesions. Two diagnostic panels were developed, enabling early CRC detection with high sensitivity and specificity, outperforming the fecal occult blood test. Furthermore, six molecules were differentially expressed between tumor tissue and mucosa, while seven EV-enriched molecules decreased significantly after surgery. These findings highlight EVs as key reservoirs of CRC-associated molecules and a promising source of biomarkers.

Background: MicroRNA-379 (miR-379) has been reported to play a tumour-suppressing role in several cancer types. Our previous work demonstrated that miR-379 overexpression attenuates the metastatic spread of prostate cancer (PCa) both in vitro and in vivo. However, the underlying mechanisms remain poorly understood. Methods: To elucidate the mechanisms by which miR-379 affects metastases, we performed a cytokine array to identify secreted proteins modulated by miR-379 dysregulation in a bone microenvironment model. We then assessed the levels of the key candidate, and performed functional studies, including reporter assays, of the transcriptional regulation. Results: Prostate-specific antigen (PSA)—the clinically widely used blood biomarker for PCa—emerged as the most significantly affected secreted protein. We observed that PSA secretion increased following miR-379 inhibition and decreased with miR-379 overexpression, with parallel changes in intracellular PSA levels. However, our data suggests that miR-379 does not directly regulate PSA expression. Instead, miR-379 appears to downregulate androgen receptor (AR) expression by targeting its 3′-untranslated region (3′-UTR), thereby indirectly reducing PSA transcription through diminished AR-mediated promoter activation. Supporting this indirect mechanism, analysis of clinical samples from prostate cancer patients revealed an inverse correlation between expression of miR-379 in prostatic tissue and serum PSA levels. Furthermore, reduced miR-379 expression was associated with increased levels of AR immunostaining in malignant tissues. Conclusions: Taken together, these findings suggest that miR-379 negatively regulates PSA secretion indirectly via suppression of AR, and that the interplay between miR-379, AR, and PSA may contribute to the metastatic progression of PCa to bone.

Despite significant improvement in the survival of pediatric patients with cancer, treatment outcomes for high-risk, relapsed, and refractory cancers remain unsatisfactory. Moreover, prolonged survival is frequently associated with long-term adverse effects due to intensive multimodal treatments. Accelerating the progress of pediatric oncology requires both therapeutic advances and strategies to mitigate the long-term cytotoxic side effects, potentially through targeting specific molecular drivers of pediatric malignancies. In this report, we present the results of integrative genomic and transcriptomic profiling of 230 patients with malignant solid tumors (the "primary cohort") and 18 patients with recurrent or otherwise difficult-to-treat nonmalignant conditions (the "secondary cohort"). The integrative workflow for the primary cohort enabled the identification of clinically significant single nucleotide variants, small insertions/deletions, and fusion genes, which were found in 55% and 28% of patients, respectively. For 38% of patients, molecularly informed treatment recommendations were made. In the secondary cohort, known or potentially driving alteration was detected in 89% of cases, including a suspected novel causal gene for patients with inclusion body infantile digital fibromatosis. Furthermore, 47% of findings also brought therapeutic implications for subsequent management. Across both cohorts, changes or refinements to the original histopathological diagnoses were achieved in 4% of cases. Our study demonstrates the efficacy of integrating advanced genomic and transcriptomic analyses to identify therapeutic targets, refine diagnoses, and optimize treatment strategies for challenging pediatric and young adult malignancies and underscores the need for broad implementation of precision oncology in clinical settings.

Colorectal cancer (CRC) is the second most prevalent cancer type worldwide, which highlights the urgent need for non-invasive biomarkers for its early detection and improved prognosis. We aimed to investigate the patterns of long non-coding RNAs (lncRNAs) in small extracellular vesicles (sEVs) collected from low-volume blood serum specimens of CRC patients, focusing on their potential as diagnostic biomarkers. Our research comprised two phases: an initial exploratory phase involving RNA sequencing of sEVs from 76 CRC patients and 29 healthy controls, and a subsequent validation phase with a larger cohort of 159 CRC patients and 138 healthy controls. Techniques such as dynamic light scattering, transmission electron microscopy, and Western blotting were utilized for sEV characterization. Optimized protocol for sEV purification, RNA isolation and preamplification was applied to successfully sequence the RNA content of sEVs and validate the results by RT-qPCR. We successfully isolated sEVs from blood serum and prepared sequencing libraries from a low amount of RNA. High-throughput sequencing identified differential levels of 460 transcripts between CRC patients and healthy controls, including mRNAs, lncRNAs, and pseudogenes, with approximately 20% being lncRNAs, highlighting several tumor-specific lncRNAs that have not been associated with CRC development and progression. The validation phase confirmed the upregulation of three lncRNAs (NALT1, AL096828, and LINC01637) in blood serum of CRC patients. This study not only identified lncRNA profiles in a population of sEVs from low-volume blood serum specimens of CRC patients but also highlights the value of innovative techniques in biomolecular research, particularly for the detection and analysis of low-abundance biomolecules in clinical samples. The identification of specific lncRNAs associated with CRC provides a foundation for future research into their functional roles in cancer development and potential clinical applications.

Abstract Objectives Small extracellular vesicles (EVs) contain various signaling molecules, thus playing a crucial role in cell-to-cell communication and emerging as a promising source of biomarkers. However, the lack of standardized procedures impedes their translation to clinical practice. Thus, we compared different approaches for high-throughput analysis of small EVs transcriptome. Methods Small EVs were isolated from 150 μL of serum. Quality and quantity were assessed by dynamic light scattering, transmission electron microscopy, and Western blot. Comparison of RNA extraction efficiency was performed, and expression of selected genes was analyzed by RT-qPCR. Whole transcriptome analysis was done using microarrays. Results Obtained data confirmed the suitability of size exclusion chromatography for isolation of small EVs. Analyses of gene expression showed the best results in case of samples isolated by Monarch Total RNA Miniprep Kit. Totally, 7,182 transcripts were identified to be deregulated between colorectal cancer patients and healthy controls. The majority of them were non-coding RNAs with more than 70 % being lncRNAs, while protein-coding genes represented the second most common gene biotype. Conclusions We have optimized the protocol for isolation of small EVs and their RNA from low volume of sera and confirmed the suitability of Clariom D Pico Assays for transcriptome profiling.

Stage II colon cancer (CC) encompasses a heterogeneous group of patients with diverse survival experiences: 87% to 58% 5-year relative survival rates for stages IIA and IIC, respectively. While stage IIA patients are usually spared the adjuvant chemotherapy, some of them relapse and may benefit from it; thus, their timely identification is crucial. Current gene expression signatures did not specifically target this group nor did they find their place in clinical practice. Since processes at invasion front have also been linked to tumor progression, we hypothesize that aside from bulk tumor features, focusing on the invasion front may provide additional clues for this stratification. A retrospective matched case-control collection of 39 stage IIA microsatellite-stable (MSS) untreated CCs was analyzed to identify prognostic gene expression-based signatures. The endpoint was defined as relapse within 5 years vs. no relapse for at least 6 years. From the same tumors, three different classifiers (bulk tumor, invasion front, and constrained baseline on bulk tumor) were developed and their performance estimated. The baseline classifier, while the weakest, was validated in two independent data sets. The best performing signature was based on invasion front profiles [area under the receiver operating curve (AUC) = 0.931 (0.815–1.0)] and contained genes associated with KRAS pathway activation, apical junction complex, and heme metabolism. Its combination with bulk tumor classifier further improved the accuracy of the predictions.

Heterogeneity of colorectal carcinoma (CRC) represents a major hurdle towards personalized medicine. Efforts based on whole tumor profiling demonstrated that the CRC molecular subtypes were associated with specific tumor morphological patterns representing tumor subregions. We hypothesize that whole- tumor molecular descriptors depend on the morphological heterogeneity with significant impact on current molecular predictors. We investigated intra-tumor heterogeneity by morphology-guided transcriptomics to better understand the links between gene expression and tumor morphology represented by six morphological patterns (morphotypes): complex tubular, desmoplastic, mucinous, papillary, serrated, and solid/trabecular. Whole-transcriptome profiling by microarrays of 202 tumor regions (morphotypes, tumor-adjacent normal tissue, supportive stroma, and matched whole tumors) from 111 stage II-IV CRCs identified morphotype-specific gene expression profiles and molecular programs and differences in their cellular buildup. The proportion of cell types (fibroblasts, epithelial and immune cells) and differentiation of epithelial cells were the main drivers of the observed disparities with activation of EMT and TNF-α signaling in contrast to MYC and E2F targets signaling, defining major gradients of changes at molecular level. Several gene expression-based (including single-cell) classifiers, prognostic and predictive signatures were examined to study their behavior across morphotypes. Most exhibited important morphotype-dependent variability within same tumor sections, with regional predictions often contradicting the whole-tumor classification. The results show that morphotype-based tumor sampling allows the detection of molecular features that would otherwise be distilled in whole tumor profile, while maintaining histopathology context for their interpretation. This represents a practical approach at improving the reproducibility of expression profiling and, by consequence, of gene-based classifiers.

Distant metastasis is the major cause of cancer-related deaths in men with prostate cancer (PCa). An in vivo functional screen was used to identify microRNAs (miRNAs) regulating metastatic dissemination of PCa cells. PC3 cells transduced with pooled miRZiP™ lentivirus library (anti-miRNAs) were injected intraprostatic to 13 NSG mice followed by targeted barcode/anti-miR sequencing. PCa cells in the primary tumours showed a homogenous pattern of anti-miRNAs, but different anti-miRNAs were enriched in liver, lung, and bone marrow, with anti-miR-379 highly enriched in the latter. The bone metastasis-promoting phenotype induced by decreased miR-379 levels was also confirmed in a less metastatic PCa cell line, 22Rv1, where all mice injected intracardially with anti-miR-379-22Rv1 cells developed bone metastases. The levels of miR-379 were found to be lower in bone metastases compared to primary tumours and non-cancerous prostatic tissue in a patient cohort. In vitro functional studies suggested that the mechanism of action was that reduced levels of miR-379 gave an increased colony formation capacity in conditions mimicking the bone microenvironment. In conclusion, our data suggest that specific miRNAs affect the establishment of primary tumours and metastatic dissemination, with a loss of miR-379 promoting metastases in bone.

The variability of gene expression signatures across tumor sites has been previously documented [Stewart et al. 2017]. However, how this information can be exploited in practice is less obvious. To better understand the links between gene-based risk scores and tumor sampling, we performed morphology-based RNA extraction and we studied the risk scores' variability and their relative prognostic value in comparison with whole-tumor sampling. We deliberately avoided comparing the risk scores to each other, since our data did not allow significant comparisons.

Despite the great achievements in treating pediatric cancer patients in the last several decades, approximately one fifth of patients remains uncurable using standard therapeutic modalities and require search for innovative therapeutic approaches. Advances in sequencing techniques and bioinformatic data processing enabled identification of wide spectrum of molecular alterations including single nucleotide variants, copy number aberrations, fusion genes or changes in expression and methylation patterns, which could serve as therapeutic targets. Translation of comprehensive molecular profiling into clinical practice is still limited, however, multiple precision oncology initiatives have already explored feasibility of this approach. From September 2016 to December 2020, a total of 160 patients with high-risk solid tumors that were treated or consulted at Department of Pediatric Oncology of University Hospital Brno were subjected to molecular analysis of tumor tissue using whole-exome sequencing, targeted RNA sequencing, whole-transcriptome profiling and array-CGH. In 18 patients, 2 or more biopsies were analyzed due to relapse or progression of the disease. In the cohort, CNS tumors were the most prevalent (41%), followed by sarcomas (33%) and neuroblastoma (9%). All patients were presented at multidisciplinary molecular tumor board, where treatment recommendations were discussed. In 37% of patients (n = 59), therapeutic targets were identified. Most commonly identified targets included BRAF (n = 9), FGFR1 (n = 7), NF1 (n = 6), NRAS (n = 5) and PIK3CA (n = 4), making RAS/MAPK signaling most frequently altered pathway in the subgroup. Single nucleotide variants or small indels accounted for 65% of actionable findings, followed by fusion genes (12%), copy number aberrations (9%), CD274 expression (7%, confirmed by IHC staining for PD-L1 protein), and high tumor mutational burden (7%). Clinically relevant fusions were found in 25% of patients and 20% of identified fusions were targetable. 8 patients were eligible for immunotherapy based on either PD-L1 expression, or high tumor mutational burden (>10 mut/Mb). Using molecular-based approach in treating high-risk patients represents a promising strategy and helps to understand the complexity of pediatric malignancies though examining tumor biology at multiple levels. Implementing the concept of precision oncology into clinical practice could not only be beneficial in the context of chances for improved survival of high-risk patients, but might also be convenient for other patients, whose successful treatment comes at cost of various secondary complications due to intensive chemotherapy/radiotherapy approaches. Supported by Ministry of Health of the Czech Republic, grant nr. NV19-03-00562, NV19-03-00501, NV19-03-00559 and NU20-03-00240. All rights reserved. Citation Format: Petra Pokorna, Hana Palova, Tina Catela Ivkovic, Sona Adamcova, Michal Kyr, Vojtech Bystry, Robin Jugas, Karolina Trachtova, Dagmar Al Tukmachi, Tomas Merta, Jaroslav Juracek, Jiri Sana, Sona Mejstrikova, Marta Jezova, Peter Mudry, Zdenek Pavelka, Jaroslav Sterba, Ondrej Slaby. Comprehensive genomic profiling as an approach to guide therapeutic planning in pediatric patients with high-risk solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 76.

Colorectal cancer (CRC) accounts for 9.7% of all cancers which makes it one of the three most commonly diagnosed cancer types worldwide. Prognosis of the patients with CRC depends mainly on the extent of the disease at the time of diagnosis. Therefore, the early detection of CRC and precancerous lesions is one of the main requirements of successful treatment. In recent years exosomes emerged as potential reservoirs of clinically useful biomarkers. Exosomes are 30-150 nm sized membranous vesicles that are endogenously produced by almost all cell types. They participate in intercellular communication by delivering proteins, microRNAs (miRNAs), mRNAs or long non-coding RNAs (lncRNAs) to recipient cells. In the context of cancer, intercellular communication allows cancer cells to create a favorable microenvironment for their growth. It has been shown that cancer-derived exosomes promote pathways contributing to hallmarks of cancer.To investigate diagnostic potential of exosomal RNA in CRC, blood serum samples were collected from patients with CRC and age- and sex-matched controls. Exosome isolation protocol was optimized, and the presence of vesicles in the exosome size range was confirmed using both dynamic light scattering (DLS) analysis as well as electron microscopy (TEM). Downstream analysis of serum exosomal RNA using next-generation sequencing (Illumina NextSeq 550) from exploratory cohort of CRC samples (N=50) and healthy controls (N=20) revealed both coding and non-coding RNAs to be differentially expressed (FC>1.5, p-value < 0.01). Among these were genes already reported to be dysregulated in CRC such as GAS5, but also lncRNAs previously unreported in CRC exosomes (AC103760.1, LINC02709 or PGBP) were identified. Gene set enrichment analysis (GSEA) was used to link RNAs identified within exosomes to their molecular functions. Using the Hallmark gene sets (MsigDB) as a reference, we discovered high enrichment of genes related to MYC targets, E2F targets and G2M checkpoint in healthy controls compared to CRC samples. All three hallmarks comprise genes crucial for cell proliferation. The first results indicated that the exosomal RNAs could be promising candidates as new diagnostic biomarkers in CRC, although further in vitro and in vivo exploration of identified differentially expressed lncRNAs is necessary. This work was supported by Ministry of Health of the Czech Republic grant nr. NU20-03-00127, NV19-03-00501 and NV19-03-00559. All rights reserved. Citation Format: Tina Catela Ivkovic, Marie Mądrzyk, Karolina Trachtova, Petra Faltejskova-Vychytilova, Tana Machackova, Petra Pokorna, Jaroslav Juracek, Jiri Sana, Ondrej Slaby. Molecular and functional characterization of colorectal cancer derived-exosomes and exosomal coding and long non-coding RNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2802.

The consensus molecular subtypes (CMS) of colon cancer integrated the results of several different subtyping efforts and led to the definition of four distinct groups with clinical relevance (CMS1-4). The connection between tumor morphology and molecular subtypes has been previously described qualitatively and quantitatively. Moreover, it has been suggested that variability in tumor sampling strategies would lead to less reproducible subtype classifications. To better understand the sources of heterogeneity and for stabilizing the CMS classifier, we performed a morphology-directed tumor sampling for RNA extraction and compared the predicted CMS with whole-tumor results. We choose to base our sampling on well-established tumor morphologies to improve the interpretability and lower selection variability. From 100 colon tumors (hospital cohort), consecutive sections were used for whole-tumor and morphological-region RNA extraction. The following tumor morphological regions have been manually annotated in the virtual slides and macro-dissected: complex tubular, desmoplastic, mucinous, papillary, serrated, and solid trabecular. Additionally, a number of tumor-adjacent normal and stroma regions have been marked. We used the CMScaller package for subtype assignment to both whole tumor and regional profiles, with n=1000 permutations and FDR=25%. In total, 100 whole tumor and 152 regional transcriptomics profiles were obtained, respectively. No subtype was assigned to 22% and 23% of whole tumor and regional profiles. For whole tumor CMS1-3, there was a good concordance with the subtype assigned to at least one of its corresponding morphological regions (73%, 62% and 78%, respectively). However, CMS4 appeared to be less stable, with only 44% of the regions being CMS4, other 21% being CMS2. In one case, the whole tumor subtype (CMS2) did not correspond to any of the associated regions profiled (complex tubular - CMS1, mucinous - CMS4 and tumor-adjacent normal - CMS3). When considering the subtypes assigned to each morphological region, we observed that: Complex tubular regions were mostly labeled as CMS1 (41%) and CMS2 (32%); Desmoplastic regions were labeled as CMS4 (54%) and CMS1 (31%). In addition, the subtype of the desmoplastic region, when in combination with other region types, determined the whole tumor subtype. Serrated regions were mostly labeled as CMS2 (42%) and CMS3 (32%); All tumor-adjacent stroma was labeled as CMS4. Surprisingly, most of the mucinous regions were assigned to CMS4 (60%). The analysis of subtype molecular markers indicated that canonical Wnt is mostly activated in mucinous, serrated and stroma regions. Also, the EMT signature had highest values in desmoplastic, mucinous and stroma regions. The morphological regions may have a different molecular subtype than the whole tumor, indicating the presence of additional subtypes. The current gene expression classifiers are sensitive to tumor sampling protocol. Clear specification of region(s) used for RNA profiling is necessary for improving the stability of the molecular subtype classification and multi-region sampling opens the possibility for refining the CMS classification. The CMS4 EMT characteristics are most probably due to the desmoplastic reaction.

Reološka mjerenja su vrlo važna u prehrambenoj industriji kao sredstvo za fizičku karakterizaciju sirovine prije prerade, za poluproizvode tijekom proizvodnje i za gotovu hranu. U ovom radu istraživan je utjecaj vrste meda, brzine rotora i vremena homogenizacije na reološka svojstva majoneze s medom. Korištene su vrste meda: bagremov, lipov, šumski, proljetni. Za izradu majoneze korišteno je rafinirano suncokretovo ulje (linolni tip). Mehanički proces homogenizacije majoneze proveden je kod 10000 o/ min, 12000 o/min i vremenu od 2 i 4 minute pri sobnoj temperaturi. Majoneza sa 75% uljne faze izrađena je po tradicionalnoj recepturi bez dodanog konzervansa, čime je trajnost proizvoda vremenski ograničena. Mjerenja reoloških svojstava provedena su na rotacijskom viskozimetru s koncentričnim cilindrima, pri temperaturi od 25 ºC. Iz dobivenih podataka izračunati su reološki parametri: prividna viskoznost, koeficijent konzistencije i indeks tečenja. Rezultati istraživanja pokazuju da vrsta meda utječe na reološka svojstva majoneze s medom. Porastom brzine rotora i vremena trajanja procesa homogenizacije mijenjaju se reološka svojstva majoneze.

BACKGROUND & AIMS: Chromosomal instability (CIN) is a carcinogenesis event that promotes metastasis and resistance to therapy by unclear mechanisms. Expression of the colon cancer-associated transcript 2 gene (CCAT2), which encodes a long noncoding RNA (lncRNA), associates with CIN, but little is known about how CCAT2 lncRNA regulates this cancer enabling characteristic. METHODS: We performed cytogenetic analysis of colorectal cancer (CRC) cell lines (HCT116, KM12C/SM, and HT29) overexpressing CCAT2 and colon organoids from C57BL/6N mice with the CCAT2 transgene and without (controls). CRC cells were also analyzed by immunofluorescence microscopy, g-H2AX, and senescence assays. CCAT2 transgene and control mice were given azoxymethane and dextran sulfate sodium to induce colon tumors. We performed gene expression array and mass spectrometry to detect downstream targets of CCAT2 lncRNA. We characterized interactions between CCAT2 with downstream proteins using MS2 pull-down, RNA immunoprecipitation, and selective 20-hydroxyl acylation analyzed by primer extension analyses. Downstream proteins were overexpressed in CRC cells and analyzed for CIN. Gene expression levels were measured in CRC and non-tumor tissues from 5 cohorts, comprising more than 900 patients. RESULTS: High expression of CCAT2 induced CIN in CRC cell lines and increased resistance to 5-fluorouracil and oxaliplatin. Mice that expressed the CCAT2 transgene developed chromosome abnormalities, and colon organoids derived from crypt cells of these mice had a higher percentage of chromosome abnormalities compared with organoids from control mice. The transgenic mice given azoxymethane and dextran sulfate sodium developed more and larger colon polyps than control mice given these agents. Microarray analysis and mass spectrometry indicated that expression of CCAT2 increased expression of genes involved in ribosome biogenesis and protein synthesis. CCAT2 lncRNA interacted directly with and stabilized BOP1 ribosomal biogenesis factor (BOP1). CCAT2 also increased expression of MYC, which activated expression of BOP1. Overexpression of BOP1 in CRC cell lines resulted in chromosomal missegregation errors, and increased colony formation, and invasiveness, whereas BOP1 knockdown reduced viability. BOP1 promoted CIN by increasing the active form of aurora kinase B, which regulates chromosomal segregation. BOP1 was overexpressed in polyp tissues from CCAT2 transgenic mice compared with healthy tissue. CCAT2 lncRNA and BOP1 mRNA or protein were all increased in micro satellite stable tumors (characterized by CIN), but not in tumors with microsatellite instability compared with nontumor tissues. Increased levels of CCAT2 lncRNA and BOP1 mRNA correlated with each other and with shorter survival times of patients. CONCLUSIONS: We found that overexpression of CCAT2 in colon cells promotes CIN and carcinogenesis by stabilizing and inducing expression of BOP1 an activator of aurora kinase B. Strategies to target this pathway might be developed for treatment of patients with microsatellite stable colorectal tumors.

BACKGROUND:Tumor mutational burden (TMB) is an emerging genomic biomarker in cancer that has been associated with improved response to immune checkpoint inhibitors (ICIs) in adult cancers. It was described that variability in TMB assessment is introduced by different laboratory techniques and various settings of bioinformatic pipelines. In pediatric oncology, no study has been published describing this variability so far.METHODS:In our study, we performed whole exome sequencing (WES, both germline and somatic) and calculated TMB in 106 patients with high-risk/recurrent pediatric solid tumors of 28 distinct cancer types. Subsequently, we used WES data for TMB calculation using an in silico approach simulating two The Food and Drug Administration (FDA)-approved/authorized comprehensive genomic panels for cancer.RESULTS:We describe a strong correlation between WES-based and panel-based TMBs; however, we show that this high correlation is significantly affected by inclusion of only a few hypermutated cases. In the series of nine cases, we determined TMB in two sequentially collected tumor tissue specimens and observed an increase in TMB along with tumor progression. Furthermore, we evaluated the extent to which potential ICI indication could be affected by variability in techniques and bioinformatic pipelines used for TMB assessment. We confirmed that this technological variability could significantly affect ICI indication in pediatric cancer patients; however, this significance decreases with the increasing cut-off values.CONCLUSIONS:For the first time in pediatric oncology, we assessed the reliability of TMB estimation across multiple pediatric cancer types using real-life WES and in silico analysis of two major targeted gene panels and confirmed a significant technological variability to be introduced by different laboratory techniques and various settings of bioinformatic pipelines.

Complex diseases, such as advanced cancer, can rarely be treated with a single drug. Combinations of treatments are advised for the majority of types. Noncoding RNAs (ncRNAs), with their simultaneous activities and diversity of targets, often reaching several steps of a pathway, could be the right option to develop new treatment modalities. Because of their multifactorial effects, ncRNA-based therapeutics can also have a more stable effect in vivo than other forms of therapy. MicroRNAs (miRNAs) have already been targeted toward cancer and other diseases; however, the broad range of their effects often hinders successful clinical implementation. Extensive research is going on to fully understand the potential of ncRNAs. This can enable the development of effective and safe therapeutics for everyday oncological practice.

Abstract Prostate cancer is one of the most common cancers in men, yet the biology behind lethal disease progression and bone metastasis is poorly understood. In this study, we found elevated levels of microRNA-96 (miR-96) in prostate cancer bone metastasis samples. To determine the molecular mechanisms by which miR-96 deregulation contributes to metastatic progression, we performed an Argonaute2-immunoprecipitation assay, in which mRNAs associated with cell–cell interaction were enriched. The expression of two cell adhesion molecules, E-Cadherin and EpCAM, was upregulated by miR-96, and potential targets sites were identified in the coding sequences of their mRNAs. We further showed that miR-96 enhanced cell–cell adhesion between prostate cancer cells as well as their ability to bind to osteoblasts. Our findings suggest that increased levels of miR-96 give prostate cancer cells an advantage at forming metastases in the bone microenvironment due to increased cell–cell interaction. We propose that miR-96 promotes bone metastasis in prostate cancer patients by facilitating the outgrowth of macroscopic tumours in the bone.