Given that only a subset of patients with colorectal cancer (CRC) benefit from immune checkpoint therapy, efforts are ongoing to identify markers that predict immunotherapeutic response. Increasing evidence suggests that microbes influence the efficacy of cancer therapies. Fusobacterium nucleatum induces different immune responses in CRC with different microsatellite-instability (MSI) statuses. Here, we investigated the effect of F. nucleatum on anti-PD-L1 therapy in CRC. We found that high F. nucleatum levels correlate with improved therapeutic responses to PD-1 blockade in patients with CRC. Additionally, F. nucleatum enhanced the antitumor effects of PD-L1 blockade on CRC in mice and prolonged survival. Combining F. nucleatum supplementation with immunotherapy rescued the therapeutic effects of PD-L1 blockade. Furthermore, F. nucleatum induced PD-L1 expression by activating STING signaling and increased the accumulation of interferon-gamma (IFN-γ)+ CD8+ tumor-infiltrating lymphocytes (TILs) during treatment with PD-L1 blockade, thereby augmenting tumor sensitivity to PD-L1 blockade. Finally, patient-derived organoid models demonstrated that increased F. nucleatum levels correlated with an improved therapeutic response to PD-L1 blockade. These findings suggest that F. nucleatum may modulate immune checkpoint therapy for CRC.

AbaR-type genomic islands (AbaRs) are important elements responsible for antimicrobial resistance in Acinetobacter baumannii. This study performed a large-scale identification of AbaRs to understand their distribution and compositions of antimicrobial resistance genes. We identified 2.89-kb left-end and 1.87-kb right-end conserved sequences (CSs) and developed a bioinformatics approach to identify AbaRs, using the CSs as signatures, in 3,148 publicly available genomes. AbaRs were prevalent in A. baumannii, being found in 2,091 genomes. They were sparse in other Acinetobacter species and confined only to this genus. Results from 111 complete genomes showed that over 85% of AbaRs resided on chromosomes. The external flanks adjacent to the inverted repeats available in all identified CSs were mapped to an AbaR-free chromosome or searched in the NCBI database for empty loci to define insertion sites. Surprisingly, 84 insertion sites with diverse origins were revealed, including 51 scattered on the chromosome, 20 plasmid borne, 12 located on prophages, transposons, ISAba1, complex AbaRs, and genomic islands of other types, and one uncharacterized, and some were strongly associated with clonal lineages. Finally, we found 994 antimicrobial resistance genes covering 28 unique genes from 70.9% (299/422) of intact AbaRs currently available. The resistance gene profiles displayed an apparent clonal lineage-specific pattern, highlighting the distinct features of AbaRs in global clone 1 (GC1) and GC2. The tet(B) gene was highly specific to the AbaRs in GC2. In conclusion, AbaRs have diverse insertion sites on the chromosome and mobile genetic elements (MGEs) and display distinct antimicrobial resistance gene profiles in different clonal lineages.

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Increasing evidence supports that microRNA (miRNA) plays a significant functional role in cancer progression by directly regulating respective targets. In this study, the expression levels of miR-105-1 and its target gene were analyzed using genes microarray and hierarchical clustering analysis followed by validation with quantitative RT-PCR in hepatocellular carcinoma (HCC) and normal liver tissues. We examined the expression of nuclear receptor coactivator 1 (NCOA1), the potential target gene of miR-105-1, following the transfection of miR-105-1 mimics or inhibitors. Our results showed that miR-105-1 was downregulated in HCC tissues when compared with normal liver tissues and patients with lower miR-105-1 expression had shorter overall survival (OS) and progression free survival (PFS). Moreover, NCOA1 was confirmed to be a direct target of miR-105-1. Furthermore, concomitant high expression of NCOA1 and low expression of miR-105-1 correlated with a shorter median OS and PFS in HCC patients. In conclusion, our results provide the first evidence that NCOA1 is a direct target of miR-105-1 suggesting that NCOA1 and miR-105-1 may have potential prognostic value and may be useful as tumor biomarkers for the diagnosis of HCC patients.

ObjectiveThis study aims to explore the expression pattern and prognostic significance of miR-33a in non-small cell lung cancer (NSCLC) treated with adjuvant chemotherapy.MethodsMiR-33aexpression in NSCLC was analyzed in silico using the GEO database and was subsequently confirmed by quantitative RT-PCR in 147 NSCLC biopsies. Among these, 32 of these biopsies were paired with adjacent non-neoplastic tissues. The survival analysis of NSCLC by Kaplan-Meier estimates was stratified based on miR-33a expression. In addition, multivariate survival analysis in corresponding groups of NSCLC patients was conducted by Cox proportional hazards regression model.ResultsThe in silico analysis of miR-33a expression in NSCLC resulted to its down-regulation in different tumor types. The expression level of miR-33a was lower in each grade of NSCLC tumor biopsies than in normal lung tissues. Univariate and multivariate survival analysis further established that low miR-33a expression was an important risk factor for overall survival and disease free survival in NSCLC patients.ConclusionOur study implied that miR-33a expression levels may have an essential role in NSCLC progression, and could act as a specific and sensitive biomarker for NSCLC patients who have undergone adjuvant chemotherapy.

Altered expression of microRNAs (miRNAs or miRs) contributes to lung carcinogenesis. The present study performed an in silico analysis of differentially expressed miRNAs in different peripheral blood samples from patients with various diseases vs. controls using the Gene Expression Omnibus (GEO) database data, and assessed miR-105-1 expression in 32 normal lung and 142 non-small cell lung cancer (NSCLC) tissue samples using reverse transcription-quantitative polymerase chain reaction. Survival data were calculated using Kaplan-Meier curves and a log-rank test. The stepwise forward Cox regression model was performed for univariate and multivariate analyses of independent predictor of overall survival (OS) of patients. The data on in silico and tissue microarray analyses of miRNA expression revealed reduced miR-105-1 expression in different types of human cancer, particularly in NSCLC. The level of miR-105-1 expression was confirmed to be downregulated in NSCLC tissues compared with that in normal lung tissues. Reduced miR-105-1 expression was associated with larger tumor size as well as poor OS and disease-free survival (DFS) of patients. Multivariate survival analysis demonstrated that reduced miR-105-1 expression and tumor size were independent predictors for OS of NSCLC patients. In conclusion, reduced miR-105-1 expression in NSCLC tissues is associated with poor OS and DFS of NSCLC patients.

AbaR-type genomic islands (AbaRs) are prevalent and associated with multiple antimicrobial resistance in Acinetobacter baumannii. AbaRs feature varied structural configurations involving different but closely related backbones with acquisition of diverse mobile genetic elements (MGEs) and antimicrobial resistance genes. This study aimed to understand the structural modulation patterns of AbaRs. A total of 442 intact AbaRs, including nonresistance but closely related islands, were mapped to backbones Tn6019, Tn6022, Tn6172/Tn6173, and AbGRI1-0 followed by alien sequence characterization. Genetic configurations were then examined and compared. The AbaRs fall into 53 genetic configurations, among which 26 were novel, including one Tn6019-type, nine Tn6022-type, three Tn6172/Tn6173-type, nine AbGRI1-type, and four new transposons that could not be mapped to the known backbones. The newly identified genetic configurations involved insertions of novel MGEs like ISAcsp2, ISAba42, ISAba17, and ISAba10, novel structural modulations driven by known MGEs such as ISCR2, Tn2006, and even another AbaR, and different backbone deletions. Recombination events in AbGRI1-type elements were also examined by identifying hybrid sequences from different backbones. Moreover, we found that the content and context features of AbaRs including the profiles of the MGEs driving the plasticity of these elements and the consequently acquired antimicrobial resistance genes, insertion sites, and clonal distribution displayed backbone-specific patterns. This study provides a comprehensive view of the genetic features of AbaRs. IMPORTANCE AbaR-type genomic islands (AbaRs) are well-known elements that can cause antimicrobial resistance in Acinetobacter baumannii. These elements contain diverse and complex genetic configurations involving different but related backbones with acquisition of diverse mobile genetic elements and antimicrobial resistance genes. Understanding their structural diversity is far from complete. In this study, we performed a large-scale comparative analysis of AbaRs, including nonresistance but closely related islands. Our findings offered a comprehensive and interesting view of their genetic features, which allowed us to correlate the structural modulation signatures, antimicrobial resistance patterns, insertion loci, as well as host clonal distribution of these elements to backbone types. This study provides insights into the evolution of these elements, explains the association between their antimicrobial resistance gene profiles and clonal distribution, and could facilitate establishment of a more proper nomenclature than the term “AbaR” that has been variously used.

Colorectal cancer (CRC) is the third most common cancer worldwide, and liver metastasis presents a major cause of CRC-associated death. Extensive genomic analysis has provided valuable insight into the pathogenesis and progression of CRC; however, a comprehensive proteogenomic characterization of CRC liver metastasis (CLM) has yet to be reported. Here, we analyzed the proteomes of 44 paired normal colorectal tissues and CRC tissues with or without liver metastasis, as well as analyzed genomics of CRC characterized previously by The Cancer Genome Atlas (TCGA) to conduct integrated proteogenomic analyses. We identified a total of 2,170 significantly deregulated proteins associated with CLM, 14.88% of which were involved in metabolic pathways. The mutated peptide number was found to have potential prognosis value, and somatic variants revealed two metabolism-related genes UQCR5 and FDFT1 that frequently mutated only in the liver metastatic cohort and displayed dysregulated protein abundance with biological function and clinical significance in CLM. Proteogenomic characterization and integrative and comparative genomic analysis provides functional context and prognostic value to annotate genomic abnormalities and affords a new paradigm for understanding human colon and rectal cancer liver metastasis.