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1.
Gan To Kagaku Ryoho ; 49(11): 1229-1232, 2022 Nov.
Article in Japanese | MEDLINE | ID: mdl-36412026

ABSTRACT

Recently, a study for eribulin mesylate(ERI), which is a useful drug for metastatic and recurrent breast cancer, reported that the absolute lymphocyte count(ALC)before administration is a useful prognostic factor. We retrospectively examined whether the results were reproducible in the patients with ERI. We examined the effect of ERI on the overall survival(OS)in 21 patients with HER2-negative metastatic and recurrent breast cancer who underwent treatment with ERI at our hospital. The clinical benefit ratio(CBR)was 57.1%. The median time to treatment failure(TTF)was 5.8 months and median OS was 19.9 months, showing a positive correlation between the TTF and OS. The factors that significantly prolonged the OS in univariate analysis were the TTF(<3 months vs ≥3 months, p<0.001), NLR(<3 vs ≥3, p=0.037), and ALC(<1,000/ µL vs ≥1,000/µL, p=0.008). In the multivariate analysis, TTF and ALC were the prognostic factors. The ERI outcome at our institution was good regardless of the subtype. The results of the multivariate analysis showed that TTF and ALC were factors that prolonged OS, and patients who received ERI for >3 months had good OS. Long-term administration of ERI was assumed to affect the immune microenvironment and prolong OS. Additionally, our data showed that the lymphocyte count before ERI administration is a simple and useful prognostic factor.


Subject(s)
Breast Neoplasms , Humans , Female , Retrospective Studies , Breast Neoplasms/drug therapy , Breast Neoplasms/pathology , Prognosis , Neoplasm Recurrence, Local , Lymphocyte Count , Tumor Microenvironment
2.
BMC Genomics ; 22(1): 481, 2021 Jun 26.
Article in English | MEDLINE | ID: mdl-34174821

ABSTRACT

BACKGROUND: Genomic information for Allium cepa L. is limited as it is heterozygous and its genome is very large. To elucidate potential SNP markers obtained by NGS, we used a complete set of A. fistulosum L.-A. cepa monosomic addition lines (MALs) and doubled haploids (DHs). These were the parental lines of an A. cepa mapping population for transcriptome-based SNP genotyping. RESULTS: We mapped the transcriptome sequence reads from a series of A. fistulosum-A. cepa MALs onto the unigene sequence of the doubled haploid shallot A. cepa Aggregatum group (DHA) and compared the MAL genotype call for parental bunching onion and shallot transcriptome mapping data. We identified SNP sites with at least four reads on 25,462 unigenes. They were anchored on eight A. cepa chromosomes. A single SNP site was identified on 3,278 unigenes and multiple SNPs were identified on 22,184 unigenes. The chromosome marker information was made public via the web database Allium TDB ( http://alliumtdb.kazusa.or.jp/ ). To apply transcriptome based genotyping approach for genetic mapping, we gathered RNA sequence data from 96 lines of a DHA × doubled haploid bulb onion A. cepa common onion group (DHC) mapping population. After selecting co-dominant SNP sites, 16,872 SNPs were identified in 5,339 unigenes. Of these, at least two SNPs with identical genotypes were found in 1,435 unigenes. We developed a linkage map using genotype information from these unigenes. All unigene markers mapped onto the eight chromosomes and graphical genotyping was conducted based on the unigene order information. Another 2,963 unigenes were allocated onto the eight chromosomes. To confirm the accuracy of this transcriptome-based genetic linkage map, conventional PCR-based markers were used for linkage analysis. All SNP - and PCR-based markers were mapped onto the expected linkage groups and no inconsistency was found among these chromosomal locations. CONCLUSIONS: Effective transcriptome analysis with unique Allium resources successfully associated numerous chromosome markers with unigene information and a high-density A. cepa linkage map. The information on these unigene markers is valuable in genome sequencing and useful trait detection in Allium.


Subject(s)
Allium , Onions , Allium/genetics , Chromosome Mapping , Chromosomes, Plant , Onions/genetics , Polymorphism, Single Nucleotide , Transcriptome
3.
Sci Rep ; 9(1): 3541, 2019 03 05.
Article in English | MEDLINE | ID: mdl-30837538

ABSTRACT

Here, we report a comprehensive analysis of the widely targeted metabolome and transcriptome profiles of Allium fistulosum L. (FF) with the single extra chromosome of shallot [A. cepa L. Aggregatum group (AA)] to clarify the novel gene functions in flavonoid biosynthesis. An exhaustive metabolome analysis was performed using the selected reaction monitoring mode of liquid chromatography-tandem quadrupole mass spectrometry, revealing a specific accumulation of quercetin, anthocyanin and flavone glucosides in AA and FF5A. The addition of chromosome 5A from the shallot to A. fistulosum induced flavonoid accumulation in the recipient species, which was associated with the upregulation of several genes including the dihydroflavonol 4-reductase, chalcone synthase, flavanone 3-hydroxylase, UDP-glucose flavonoid-3-O-glucosyltransferase, anthocyanin 5-aromatic acyltransferase-like, pleiotropic drug resistance-like ATP binding cassette transporter, and MYB14 transcriptional factor. Additionally, an open access Allium Transcript Database (Allium TDB, http://alliumtdb.kazusa.or.jp ) was generated by using RNA-Seq data from different genetic stocks including the A. fistulosum-A. cepa monosomic addition lines. The functional genomic approach presented here provides an innovative means of targeting the gene responsible for flavonoid biosynthesis in A. cepa. The understanding of flavonoid compounds and biosynthesis-related genes would facilitate the development of noble Allium varieties with unique chemical constituents and, subsequently, improved plant stress tolerance and human health benefits.


Subject(s)
Allium/genetics , Allium/metabolism , Chromosomes, Plant/genetics , Flavonoids/metabolism , Gene Expression Profiling , Metabolomics , Flavonoids/biosynthesis , Glycosylation
5.
PLoS One ; 12(8): e0181784, 2017.
Article in English | MEDLINE | ID: mdl-28800607

ABSTRACT

The genus Allium is a rich source of steroidal saponins, and its medicinal properties have been attributed to these bioactive compounds. The saponin compounds with diverse structures play a pivotal role in Allium's defense mechanism. Despite numerous studies on the occurrence and chemical structure of steroidal saponins, their biosynthetic pathway in Allium species is poorly understood. The monosomic addition lines (MALs) of the Japanese bunching onion (A. fistulosum, FF) with an extra chromosome from the shallot (A. cepa Aggregatum group, AA) are powerful genetic resources that enable us to understand many physiological traits of Allium. In the present study, we were able to isolate and identify Alliospiroside A saponin compound in A. fistulosum with extra chromosome 2A from shallot (FF2A) and its role in the defense mechanism against Fusarium pathogens. Furthermore, to gain molecular insight into the Allium saponin biosynthesis pathway, high-throughput RNA-Seq of the root, bulb, and leaf of AA, MALs, and FF was carried out using Illumina's HiSeq 2500 platform. An open access Allium Transcript Database (Allium TDB, http://alliumtdb.kazusa.or.jp) was generated based on RNA-Seq data. The resulting assembled transcripts were functionally annotated, revealing 50 unigenes involved in saponin biosynthesis. Differential gene expression (DGE) analyses of AA and MALs as compared with FF (as a control) revealed a strong up-regulation of the saponin downstream pathway, including cytochrome P450, glycosyltransferase, and beta-glucosidase in chromosome 2A. An understanding of the saponin compounds and biosynthesis-related genes would facilitate the development of plants with unique saponin content and, subsequently, improved disease resistance.


Subject(s)
Allium/genetics , Saponins/biosynthesis , Sequence Analysis, RNA/methods , Steroids/biosynthesis , Transcriptome/genetics , Biological Assay , Biosynthetic Pathways/genetics , Gene Expression Profiling , Gene Expression Regulation, Plant , Genes, Plant , Models, Biological
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