• 제목/요약/키워드: Tumor bulk

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I, II기 원발성 위장관 임파종의 수술후 방사선 치료 (Combined Surgery and Radiotherapy in the Stage I and II Primary Gastrointestinal Non-Hodgkin's Lymphomas)

  • 채규영;김일한;하성환;박찬일;최국진;김진복
    • Radiation Oncology Journal
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    • 제5권1호
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    • pp.23-30
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    • 1987
  • I, II기 원방성 위장관 임파종 환자 38명의 수술후 방사선 치료 결과를 분석하였다. 방사선 치료 중 6예의 원격전이가 관찰되었고, 방사선 치료 전 병소의 크기에 따른 치료실패율은 5cm 미만에서 $31\%$, 5cm 이상에서 $75\%$로 유의한 차이가 있었다(p<0.05). 방사선 치료를 계획대로 받은 28예서 5년 생존율은 $69.2\%$였고, 그중 병소의 크기가 5cm 미만인 경우는 $72\%$였다. 병소의 크기에 따른 5년 무병생존율에도 차이가 있어 5cm 미만인 경우엔 $71\%$, 5cm 이상인 경우엔 $25\%$였다(p<0.05). 반면에 병기, 병리학적 유형 및 원발장기 등에 따른 생존율의 차이는 유의하지 않았다. 따라서 방사선 치료 전 병소 크기가 5cm 미만일 경우는 완치가 가능하나, 5cm 이상으로 클 경우에는 항암화학요법의 병용이 시도될 수 있겠다.

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Single-cell RNA-Seq unveils tumor microenvironment

  • Lee, Hae-Ock;Park, Woong-Yang
    • BMB Reports
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    • 제50권6호
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    • pp.283-284
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    • 2017
  • Single cell transcriptome analysis is a powerful tool for defining cell types or sub-populations within a heterogeneous bulk population. Tumor-associated microenvironment is a complex ecosystem consisting of numerous cell types that support tumor growth, angiogenesis, immune evasion, and metastasis. With the success of checkpoint inhibitors targeting the immune cell compartment, tumor microenvironment is emerging as a potential anti-cancer target, and understanding it has become an imminent subject in cancer biology.

Cancer stem cell metabolism: target for cancer therapy

  • Chae, Young Chan;Kim, Jae Ho
    • BMB Reports
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    • 제51권7호
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    • pp.319-326
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    • 2018
  • Increasing evidence suggests that cancer stem cell (CSC) theory represents an important mechanism underlying the observed failure of existing therapeutic modalities to fully eradicate cancers. In addition to their more established role in maintaining minimal residual disease after treatment and forming the new bulk of the tumor, CSCs might also critically contribute to tumor recurrence and metastasis. For this reason, specific elimination of CSCs may thus represent one of the most important treatment strategies. Emerging evidence has shown that CSCs have a different metabolic phenotype to that of differentiated bulk tumor cells, and these specific metabolic activities directly participate in the process of CSC transformation or support the biological processes that enable tumor progression. Exploring the role of CSC metabolism and the mechanism of the metabolic plasticity of CSCs has become a major focus in current cancer research. The targeting of CSC metabolism may provide new effective therapies to reduce the risk of recurrence and metastasis. In this review, we summarize the most significant discoveries regarding the metabolism of CSCs and highlight recent approaches in targeting CSC metabolism.

Metaplastic Meningioma Overspreading the Cerebral Convexity

  • Choi, Yun-Hyeok;Choi, Chan-Young;Lee, Chae-Heuck;Koo, Hae-Won;Chang, Sun-Hee
    • Brain Tumor Research and Treatment
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    • 제6권2호
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    • pp.97-100
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    • 2018
  • Meningioma is relatively common, benign, and extra-axial tumor accounting for about 20% of primary brain and spinal cord tumors. The World Health Organization (WHO) classified these tumors into Grade I (benign), Grade II (atypical), and Grade III (anaplastic) meningioma. Grade I meningioma which is slowly growing tumor and have some rare subtypes. Among them, metaplastic subtype is defined as a tumor containing focal or widespread mesenchymal components including osseous, cartilaginous, lipomatous, myxoid or xanthomatous tissue, singly or in combinations. We report a rare metaplastic meningioma overspreading nearly whole cerebral convexity from main extra-axial tumor bulk in the parietal lobe.

A Comprehensive Overview of RNA Deconvolution Methods and Their Application

  • Yebin Im;Yongsoo Kim
    • Molecules and Cells
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    • 제46권2호
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    • pp.99-105
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    • 2023
  • Tumors are surrounded by a variety of tumor microenvironmental cells. Profiling individual cells within the tumor tissues is crucial to characterize the tumor microenvironment and its therapeutic implications. Since single-cell technologies are still not cost-effective, scientists have developed many statistical deconvolution methods to delineate cellular characteristics from bulk transcriptome data. Here, we present an overview of 20 deconvolution techniques, including cutting-edge techniques recently established. We categorized deconvolution techniques by three primary criteria: characteristics of methodology, use of prior knowledge of cell types and outcome of the methods. We highlighted the advantage of the recent deconvolution tools that are based on probabilistic models. Moreover, we illustrated two scenarios of the common application of deconvolution methods to study tumor microenvironments. This comprehensive review will serve as a guideline for the researchers to select the appropriate method for their application of deconvolution.

Cancer Metabolism: Fueling More than Just Growth

  • Lee, Namgyu;Kim, Dohoon
    • Molecules and Cells
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    • 제39권12호
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    • pp.847-854
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    • 2016
  • The early landmark discoveries in cancer metabolism research have uncovered metabolic processes that support rapid proliferation, such as aerobic glycolysis (Warburg effect), glutaminolysis, and increased nucleotide biosynthesis. However, there are limitations to the effectiveness of specifically targeting the metabolic processes which support rapid proliferation. First, as other normal proliferative tissues also share similar metabolic features, they may also be affected by such treatments. Secondly, targeting proliferative metabolism may only target the highly proliferating "bulk tumor" cells and not the slowergrowing, clinically relevant cancer stem cell subpopulations which may be required for an effective cure. An emerging body of research indicates that altered metabolism plays key roles in supporting proliferation-independent functions of cancer such as cell survival within the ischemic and acidic tumor microenvironment, immune system evasion, and maintenance of the cancer stem cell state. As these aspects of cancer cell metabolism are critical for tumor maintenance yet are less likely to be relevant in normal cells, they represent attractive targets for cancer therapy.

TcellInflamedDetector: an R package to distinguish T cell inflamed tumor types from non-T cell inflamed tumor types

  • Yang, San-Duk;Park, Hyun-Seok
    • Genomics & Informatics
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    • 제20권1호
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    • pp.13.1-13.4
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    • 2022
  • A major issue in the use of immune checkpoint inhibitors is their lack of efficacy in many patients. Previous studies have reported that the T cell inflamed signature can help predict the response to immunotherapy. Thus, many studies have investigated mechanisms of immunotherapy resistance by defining the tumor microenvironment based on T cell inflamed and non-T cell inflamed subsets. Although methods of calculating T cell inflamed subsets have been developed, valid screening tools for distinguishing T cell inflamed from non-T cell inflamed subsets using gene expression data are still needed, since general researchers who are unfamiliar with the details of the equations can experience difficulties using extant scoring formulas to conduct analyses. Thus, we introduce TcellInflamedDetector, an R package for distinguishing T cell inflamed from non-T cell inflamed samples using cancer gene expression data via bulk RNA sequencing.

Identification of ERBB pathway-activated cells in triple-negative breast cancer

  • Cho, Soo Young
    • Genomics & Informatics
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    • 제17권1호
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    • pp.3.1-3.4
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    • 2019
  • Intratumor heterogeneity within a single tumor mass is one of the hallmarks of malignancy and has been reported in various tumor types. The molecular characterization of intratumor heterogeneity in breast cancer is a significant challenge for effective treatment. Using single-cell RNA sequencing (RNA-seq) data from a public resource, an ERBB pathway activated triple-negative cell population was identified. The differential expression of three subtyping marker genes (ERBB2, ESR1, and PGR) was not changed in the bulk RNA-seq data, but the single-cell transcriptomes showed intratumor heterogeneity. This result shows that ERBB signaling is activated using an indirect route and that the molecular subtype is changed on a single-cell level. Our data propose a different view on breast cancer subtypes, clarifying much confusion in this field and contributing to precision medicine.

Single-Cell Sequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools

  • Sierant, Michael C.;Choi, Jungmin
    • Genomics & Informatics
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    • 제16권4호
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    • pp.17.1-17.6
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    • 2018
  • Tumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. The application of single-cell sequencing, in concert with existing genomics methods, has enabled high-resolution interrogation of the genome, transcriptome, epigenome, and proteome. Applied to cancers, these single-cell multi-omics methods bypass previous limitations on data resolution and have enabled a more nuanced understanding of the evolutionary dynamics of tumor progression, immune evasion, metastasis, and treatment resistance. This review details the growing number of novel single-cell multi-omics methods applied to tumors and further discusses recent discoveries emerging from these approaches, especially in regard to immunotherapy.

MethA Fibrosarcoma Cells Expressing Membrane-Bound Forms of IL-2 Enhance Antitumor Immunity

  • Sonn, Chung-Hee;Yoon, Hee-Ryung;Seong, In-Ock;Chang, Mi-Ra;Kim, Yong-Chan;Kang, Han-Chul;Suh, Seok-Cheol;Kim, Young-Sang
    • Journal of Microbiology and Biotechnology
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    • 제16권12호
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    • pp.1919-1927
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    • 2006
  • Tumor cells genetically engineered to secrete cytokines are effective in tumor therapy, but various unexpected side effects are observed, which may result from the bulk activation of various bystander cells. In this study, we tested tumor vaccines expressing various membrane-bound forms of IL-2 (mbIL-2) on MethA fibrosarcoma cells to focus antitumor immune responses to CTL. Chimeric forms of IL-2 with whole CD4, deletion forms of CD4, and TNF were expressed on the tumor cell surface, respectively. Tumor clones expressing mbIL-2 or secretory form of IL-2 were able to support the cell growth of CTLL-2, an IL-2-dependent T cell line, and the proliferation of spleen cells from 2C TCR transgenic mice that are responsive to the $p2Ca/L^d$ MHC class I complex. Expression of mbIL-2 on tumor cells reduced the tumorigenicity of tumor cells, and the mice that once rejected the live IL-2/TNF tumor clone acquired systemic immunity against wild-type MethA cells. The IL-2/TNF clone was inferior to other clones in tumor formation, and superior in the stimulation of the CD8+ T cell population in vitro. These results suggest that the IL-2/TNF clone is the best tumor vaccine, and may stimulate CD8+ T cells by direct priming. Expression of IL-2/TNF on tumor cells may serve as an effective gene therapy method to ameliorate the side effects encountered in the recombinant cytokine therapy and the conventional cytokine gene therapy using the secretory form of IL-2.