8432 results for "canc*"

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• Analysis of mutational and proteomic heterogeneity of gastric cancer to monitor post-treatment tumor burden using circulating tumor DNA

  It remains unclear whether complete spectrum of tumor heterogeneity is reflected in circulating tumor DNA (ctDNA). Here, we performed multi-regional target sequencing of primary tumors from 10 patients who underwent surgical resection for gastric cancer. A total of 126 non-synonymous mutations were identified from 30 samples from 10 tumors. Of these, 16 (12.7%) were likely mutations that occurred early in tumor development (i.e., present in all three regions) and were designated founder mutations. Among those validated with highly sensitive digital PCR (dPCR), 93% of non-founder mutations were found in all three regions. Variant allele frequencies (VAFs) of founder mutations were significantly higher than those of non-founder mutations. Phylogenetic analysis demonstrated that five of eight tumors (62.5%, excluding two hypermutator) had at least one identifiable truncal/founder mutation. These findings led us to prioritize founder mutations for ctDNA detection with individually-designed primer/probe sets for dPCR. Marked proteomic diversity was present across the tumor regions both within and between patients independent of mutational status. In preoperative plasma, the average ctDNA VAF of founder mutations was significantly higher than that of non-founder mutations (p = 0.039). Our present data demonstrated that high VAF mutations in the tumor likely represent founder or truncal mutations. However, mutation patterns alone appear insufficient to predict protein heterogeneity. These results suggest that, in practice, mutations having high VAF identified without multi-regional sequencing may be useful for ctDNA monitoring but are inadequate to fully predict proteomic heterogeneity of the tumor.

  Study JGAS000231

• Project for Development of Innovative Research on Cancer Therapeutics;Shuttle system between petient-derived xenograft and ex vivo culture for innovative platform of evaluating drug sensitivity.

  We developed CTOS (cancer tissue-originated spheroid) panel covering diversity among patients for colorectal cancer, lung cancer and cervical small cell carcinoma. We then carried out exome sequence analysis of tumor tissues, cell lines and CTOS derived from patients to validate qualitative changes in preparation, culture, cell line, transplantation and passage of CTOS pathologically, biochemically, molecular biologically.

  Study JGAS000089

• Efficient prediction of a spatial transcriptomics profile better characterizes breast cancer tissue sections without costly experimentation

  Spatial transcriptomics is an emerging technology requiring costly reagents and considerable skills, limiting the identification of transcriptional markers related to histology. Here, we show that predicted spatial gene-expressions in unmeasured regions and tissues can enhance biologists��� histological interpretations. We developed the Deep learning model for Spatial gene Clusters and Expression, DeepSpaCE and confirmed its performance using the spatial-transcriptome profiles and immunohistochemistry images of consecutive human breast cancer tissue sections. For example, the predicted expression patterns of SPARC, an invasion marker, highlighted a small tumor-invasion region that is difficult to identify using raw data of spatial transcriptome alone because of a lack of measurements. We further developed semi-supervised DeepSpaCE using unlabeled histology images and increased the imputation accuracy of consecutive sections, enhancing applicability for a small sample size. Our method enables users to derive hidden histological characters via spatial transcriptome and gene annotations, leading to accelerated biological discoveries without additional experiments.

  Study JGAS000290

• Whole genome analysis of liver cancer by long-read sequencing

  Aberrant integration of Hepatitis B virus DNA promotes major restructuring of human hepatocellular carcinoma genome architecture

  Study JGAS000361

• Genomic subtypes and cellular phenotypes of high-grade endometrial carcinoma

  Based on the mechanism of carcinogenesis, endometrial cancer (EC) is classified into two major types, Type I and Type II. Type I EC is characterized by G1/G2 histology, accounting for about 80% of all uterine carcinomas. On the other hand, Type II EC, which often develops after menopause, is estrogen-independent and consists of serous and clear cell carcinomas. G3 EC is often classified as a Type II EC, but the pathogenesis is thought to be a mixture of estrogen-dependent and estrogen-independent carcinogenesis. We will conduct an integrative genomic analysis to clarify the pathogenesis of Type II EC and redefine its classification by combining genomic status with cell phenotypes reflected in gene expression profiles.

  Study JGAS000753

• Whole genome sequences of Japanese colorectal cancer

  We analysed whole-genome sequences from paired tumour and normal samples collected from 60 Japanese colorectal cancer (CRC) patients. Tumor tissues were obtained from surgically resected specimens of patients with CRC. Matched non-tumor DNA was primarily extracted from peripheral blood lymphocytes; in selected cases, non-neoplastic colonic mucosa collected from regions anatomically distant from the primary tumor was also used as a normal control. Genomic DNA was extracted from primary tumor tissues and matched peripheral blood samples. WGS libraries with an average insert size of 550 bp were prepared from 2 microgram of genomic DNA using the TruSeq DNA PCR-Free Library Preparation Kit (Illumina). Sequencing was performed on the NovaSeq 6000 platform (Illumina) with 150 bp PE reads. Using this data, we performed analyses of mutational signatures, driver genes, and structural alterations.

  Study JGAS000872

• Identification of genetic mutations characteristic for recurrence and metastasis of lymphoma.

  We collected the cancerous tissues of the primary and recurrence tumors from the same patient with recurrent B cell lymphoma, and the purpose of this study is to find the characteristics of recurrent B cell lymphoma by carrying out a "molecular profiling", mainly the exome sequence analysis of these tissues.

  Study JGAS000087

• Molecular Characterization of Large Cell Neuroendocrine Carcinoma of the Lung by Multilayered Omics Analysis

  Large cell neuroendocrine carcinoma (LCNEC) is a rare lung cancer type with a very poor prognosis. The underlying molecular features remain unclear. Here, we conducted a multi-omics analysis of 27 LCNEC cases along with 7 small cell lung carcinoma and aimed to propose new classification by extracting genomic and transcriptomic features in LCNEC, leading to the elucidation of the therapeutic approaches.

  Study JGAS000832

• Treg cell subset-specific gene expression patterns in human head and neck cancer

  Backgrand: The occurrence of head and neck cancer has been increased all over the world. Although the prognosis has been improved by using several treatment modalities including immunotherapy, it is still unsatisfying. It is still unclear why the immunotherapy is effective only for partial amount of patients. To resolve this problem and to make a new treatment strategy based on human immune system, further investigation of antitumor immunity is required. Regulatory T (Treg) cells play critical roles in human immune responses including antitumor immunity. Therefore, the research to elucidate Treg function is strongly urged to clarify the mechanisms of antitumor immunity. Methods: We performed RNA-seuencing analysis of regulatory T cells infiltrating head and neck cancer. We devided into four populations, DP, CD25+, CTLA4+, DN and analyzed gene expressions. Results: The gene expression patterns of Treg-related genes were different between CD25+ cells and CD25- cells. Furthermore, DP cells had unique gene expression pattern compared to other populations. Conclusions: We found Treg cells infiltrating head and neck cancer had high expression levels of Treg-related genes and DP cells had unique gene expression pattern that may become a target of new treatment strategy. Regulatory T (Treg) cells play critical roles in human immune responses including antitumor immunity. Therefore, the research to elucidate Treg function is strongly urged to clarify the mechanisms of antitumor immunity.

  Study JGAS000135

• Project for Development of Innovative Research on Cancer Therapeutics; Identifiying the predictive factors for response to chemoherapy in ovarian cancer

  To identify novel predictive biomarkers of response to chemotherapy for clear cell carcinoma of the ovary

  Study JGAS000076