The gastrointestinal tract harbors most of the microbiota associated with humans. In recent years, there has been a surge of interest in assessing the relationships between the gut microbiota and several gut alterations, including colorectal cancer. Changes in the gut microbiota in patients suffering colorectal cancer suggest a possible role of host-microbe interactions in the origin and development of this malignancy and, at the same time, open the door for novel ways of preventing, diagnosing, or treating this disease. In this review we survey current knowledge on the healthy microbiome of the gut and how it is altered in colorectal cancer and other related disease conditions. In describing past studies we will critically assess technical limitations of different approaches and point to existing challenges in microbiome research. We will have a special focus on host-microbiome interaction mechanisms that may be important to explain how dysbiosis can lead to chronic inflammation and drive processes that influence carcinogenesis and tumor progression in colon cancer. Finally, we will discuss the potential of recent developments of novel microbiota-based therapeutics and diagnostic tools for colorectal cancer.

Biomarkers that can facilitate disease detection, staging and prediction of outcome are highly desirable to improve survival and to help determine optimized treatment for colorectal cancer patients. microRNAs (miRNAs) are small non-coding RNAs that play a crucial role in gene regulatory networks. The deregulation of miRNA expression has been found in several types of cancer and may represent a novel class of cancer biomarkers. Our aim was to determine the miRNA signature of stage III colorectal cancer (CRC) tumors and to identify potential circulating miRNAs that may represent non-invasive biomarkers in CRC patients. Genome-wide microarray analysis of miRNA expression was performed on 12 paired tumor and non-tumor formalin-fixed paraffin-embedded tissues from stage III CRC patients. A selection of differentially overexpressed miRNAs was validated by quantitative real-time polymerase chain reaction (qRT-PCR) and determined in the serum of a set of 56 individuals (30 stage III CRC patients and 26 healthy individuals). Using 1.5-fold expression difference as a cut-off level, 43 miRNAs were identified as differentially expressed in tumor versus normal tissue. Using reverse transcription and qRT-PCR, 11 miRNAs (miR-135b, miR-141, miR-18a, miR-20a, miR-21, miR-224, miR-29a, miR-31, miR-34a, miR-92a and miR-96) were confirmed as significantly overexpressed in tumor samples when compared with normal samples. We were able to detect 9 of these 11 miRNAs in serum samples from CRC patients and healthy individuals. Serum levels of miR-18a and miR-29a were significantly higher in CRC patients when compared to levels in the controls (p<0.05). In conclusion, this study identified a substantial number of miRNAs which were differentially expressed in stage III colorectal tumors. Moreover, the findings provide relevant information concerning overexpressed tumoral miRNAs as potential circulating biomarkers and highlight serum miR-18a and miR-29a as promising biomarkers for the screening and monitoring of CRC patients.

Background: Microdeletion of the chromosome 22q11.2 region is the most common genetic aberration among patients with velocardiofacial syndrome (VCFS) but a subset of subjects do not show alterations of this chromosome region. Methods: We analyzed 18 patients with VCFS-like features by comparative genomic hybridisation (aCGH) array and performed a face-to-face slide hybridization with two different arrays: a whole genome and a chromosome 22-specific BAC array. Putative rearrangements were confirmed by FISH and MLPA assays. Results: One patient carried a combination of rearrangements on 1q21.1, consisting in a microduplication of 212 kb and a close microdeletion of 1.15 Mb, previously reported in patients with variable phenotypes, including mental retardation, congenital heart defects (CHD) and schizophrenia. While 326 control samples were negative for both 1q21.1 rearrangements, one of 73 patients carried the same 212-kb microduplication, reciprocal to TAR microdeletion syndrome. Also, we detected four copy number variants (CNVs) inherited from one parent (a 744-kb duplication on 10q11.22; a 160 kb duplication and deletion on 22q11.21 in two cases; and a gain of 140 kb on 22q13.2), not present in control subjects, raising the potential role of these CNVs in the VCFS-like phenotype. Conclusions: Our results confirmed aCGH as a successful strategy in order to characterize additional submicroscopic aberrations in patients with VCF-like features that fail to show alterations in 22q11.2 region. We report a 212-kb microduplication on 1q21.1, detected in two patients, which may contribute to CHD.

Background: Helicobacter pylori infection causes long‐term chronic active gastritis, a risk factor for the intestinal and diffuse forms of gastric cancer. Most gastric cancers develop in a stepwise progression from chronic active gastritis to precursor lesions of gastric cancer. The early detection of gastric cancer improves survival. Studies with recent evidence have proposed circulating‐microRNAs as biomarkers of cancer.Objective: The purpose of this study was to explore the circulating‐microRNA profile from H. pylori infection to gastric adenocarcinoma.Methods: One hundred and twenty‐three patients were enrolled and assigned to the discovery or the validation sets. In the discovery phase, circulating‐microRNAs were measured by dye‐based quantitative polymerase chain reaction and a selection of circulating‐microRNAs was validated by probe‐based quantitative polymerase chain reaction. A quality control protocol was used.Results: One hundred and sixty‐seven circulating‐microRNAs were detected. Precursor lesions of gastric cancer and gastric cancer patients showed the downregulation of eight and five circulating‐microRNAs, respectively. We further validated the deregulation of miR‐196a‐5p in precursor lesions of gastric cancer and the deregulation of miR‐134‐5p, miR‐144‐3p and miR‐451a in gastric cancer. However, circulating‐microRNAs exhibited moderate diagnostic performance due to the overlap of circulating‐microRNA expression between non‐cancer and cancer patients. miR‐144‐3p/miR‐451a expression levels were correlated. Interestingly, these microRNAs are in 17q11.2, a site of rearrangements associated with gastric cancer.Conclusion: Circulating‐microRNAs are deregulated in precancerous and gastric cancer patients but efforts are needed to improve their diagnostic accuracy.

Neurodevelopmental disorders (NDDs) affect 2–5% of the population and approximately 50% of cases are due to genetic factors. Since de novo pathogenic variants account for the majority of cases, a gene panel including 460 dominant and X-linked genes was designed and applied to 398 patients affected by intellectual disability (ID)/global developmental delay (GDD) and/or autism (ASD). Pathogenic variants were identified in 83 different genes showing the high genetic heterogeneity of NDDs. A molecular diagnosis was established in 28.6% of patients after high-depth sequencing and stringent variant filtering. Compared to other available gene panel solutions for NDD molecular diagnosis, our panel has a higher diagnostic yield for both ID/GDD and ASD. As reported previously, a significantly higher diagnostic yield was observed: (i) in patients affected by ID/GDD compared to those affected only by ASD, and (ii) in females despite the higher proportion of males among our patients. No differences in diagnostic rates were found between patients affected by different levels of ID severity. Interestingly, patients harboring pathogenic variants presented different phenotypic features, suggesting that deep phenotypic profiling may help in predicting the presence of a pathogenic variant. Despite the high performance of our panel, whole exome-sequencing (WES) approaches may represent a more robust solution. For this reason, we propose the list of genes included in our customized gene panel and the variant filtering procedure presented here as a first-tier approach for the molecular diagnosis of NDDs in WES studies.

Long non-coding RNAs (lncRNAs) play important roles in cancer and are potential new biomarkers or targets for therapy. However, given the low and tissue-specific expression of lncRNAs, linking these molecules to particular cancer types and processes through transcriptional profiling is challenging. Formalin-fixed, paraffin-embedded (FFPE) tissues are abundant resources for research but are prone to nucleic acid degradation, thereby complicating the study of lncRNAs. Here, we designed and validated a probe-based enrichment strategy to efficiently profile lncRNA expression in FFPE samples, and we applied it for the detection of lncRNAs associated with colorectal cancer (CRC). Our approach efficiently enriched targeted lncRNAs from FFPE samples, while preserving their relative abundance, and enabled the detection of tumor-specific mutations. We identified 379 lncRNAs differentially expressed between CRC tumors and matched healthy tissues and found tumor-specific lncRNA variants. Our results show that numerous lncRNAs are differentially expressed and/or accumulate variants in CRC tumors, thereby suggesting a role in CRC progression. More generally, our approach unlocks the study of lncRNAs in FFPE samples, thus enabling the retrospective use of abundant, well documented material available in hospital biobanks.