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Review Article
Applicability of Spatial Technology in Cancer Research
Sangjeong Ahn, Hye Seung Lee
Cancer Res Treat. 2024;56(2):343-356.   Published online January 30, 2024
DOI: https://doi.org/10.4143/crt.2023.1302
AbstractAbstract PDFPubReaderePub
This review explores spatial mapping technologies in cancer research, highlighting their crucial role in understanding the complexities of the tumor microenvironment (TME). The TME, which is an intricate ecosystem of diverse cell types, has a significant impact on tumor dynamics and treatment outcomes. This review closely examines cutting-edge spatial mapping technologies, categorizing them into capture-, imaging-, and antibody-based approaches. Each technology was scrutinized for its advantages and disadvantages, factoring in aspects such as spatial profiling area, multiplexing capabilities, and resolution. Additionally, we draw attention to the nuanced choices researchers face, with capture-based methods lending themselves to hypothesis generation, and imaging/antibody-based methods that fit neatly into hypothesis testing. Looking ahead, we anticipate a scenario in which multi-omics data are seamlessly integrated, artificial intelligence enhances data analysis, and spatiotemporal profiling opens up new dimensions.

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  • Distinctive Phenotypic and Microenvironmental Characteristics of Neuroendocrine Carcinoma and Adenocarcinoma Components in Gastric Mixed Adenoneuroendocrine Carcinoma
    Yoonjin Kwak, Soo Kyung Nam, Yujun Park, Yun-Suhk Suh, Sang-Hoon Ahn, Seong-Ho Kong, Do Joong Park, Hyuk-Joon Lee, Hyung-Ho Kim, Han-Kwang Yang, Hye Seung Lee
    Modern Pathology.2024; 37(10): 100568.     CrossRef
  • Effector Function Characteristics of Exhausted CD8+ T-Cell in Microsatellite Stable and Unstable Gastric Cancer
    Dong-Seok Han, Yoonjin Kwak, Seungho Lee, Soo Kyung Nam, Seong-Ho Kong, Do Joong Park, Hyuk-Joon Lee, Nak-Jung Kwon, Hye Seung Lee, Han-Kwang Yang
    Cancer Research and Treatment.2024; 56(4): 1146.     CrossRef
  • Prognostic significance of CD8 and TCF1 double positive T cell subset in microsatellite unstable gastric cancer
    Juhyeong Park, Soo Kyung Nam, Yoonjin Kwak, Hyeon Jeong Oh, Seong-Ho Kong, Do Joong Park, Hyuk-Joon Lee, Han-Kwang Yang, Hye Seung Lee
    Scientific Reports.2024;[Epub]     CrossRef
  • 4,034 View
  • 239 Download
  • 3 Web of Science
  • 3 Crossref
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Original Articles
Genitourinary cancer
Next-generation Proteomics-Based Discovery, Verification, and Validation of Urine Biomarkers for Bladder Cancer Diagnosis
Jungyo Suh, Dohyun Han, Ja Hyeon Ku, Hyeon Hoe Kim, Cheol Kwak, Chang Wook Jeong
Cancer Res Treat. 2022;54(3):882-893.   Published online October 9, 2021
DOI: https://doi.org/10.4143/crt.2021.642
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
We aimed to identify, verify, and validate a multiplex urinary biomarker-based prediction model for diagnosis and surveillance of urothelial carcinoma of bladder, using high-throughput proteomics methods.
Materials and Methods
Label-free quantification of data-dependent and data-independent acquisition of 12 and 24 individuals was performed in each of the discovery and verification phases using mass spectrometry, simultaneously using urinary exosome and proteins. Based on five scoring system based on proteomics data and statistical methods, we selected eight proteins. Enzyme-linked immunosorbent assay on urine from 120 patients with bladder mass lesions used for validation. Using multivariable logistic regression, we selected final candidate models for predicting bladder cancer.
Results
Comparing the discovery and verification cohorts, 38% (50/132 exosomal differentially expressed proteins [DEPs]) and 44% (109/248 urinary DEPs) are consistent at statistically significance, respectively. The 20 out of 50 exosome proteins and 27 out of 109 urinary proteins were upregulated in cancer patients. From eight selected proteins, we developed two diagnostic models for bladder cancer. The area under the receiver operating characteristic curve (AUROC) of two models were 0.845 and 0.842, which outperformed AUROC of urine cytology.
Conclusion
The results showed that the two diagnostic models developed here were more accurate than urine cytology. We successfully developed and validated a multiplex urinary protein-based prediction, which will have wide applications for the rapid diagnosis of urothelial carcinoma of the bladder. External validation for this biomarker panel in large population is required.

Citations

Citations to this article as recorded by  
  • A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes
    Bingrui Li, Fernanda G Kugeratski, Raghu Kalluri
    eLife.2024;[Epub]     CrossRef
  • A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes
    Bingrui Li, Fernanda G Kugeratski, Raghu Kalluri
    eLife.2024;[Epub]     CrossRef
  • Comprehensive Urinary Proteome Profiling Analysis Identifies Diagnosis and Relapse Surveillance Biomarkers for Bladder Cancer
    Qi Chang, Yongqiang Chen, Jianjian Yin, Tao Wang, Yuanheng Dai, Zixin Wu, Yufeng Guo, Lingang Wang, Yufen Zhao, Hang Yuan, Dongkui Song, Lirong Zhang
    Journal of Proteome Research.2024; 23(6): 2241.     CrossRef
  • Construction of noninvasive prognostic model of bladder cancer patients based on urine proteomics and screening of natural compounds
    Shun Wan, Jinlong Cao, Siyu Chen, Jianwei Yang, Huabin Wang, Chenyang Wang, Kunpeng Li, Li Yang
    Journal of Cancer Research and Clinical Oncology.2023; 149(1): 281.     CrossRef
  • Extracellular Vesicles as Potential Bladder Cancer Biomarkers: Take It or Leave It?
    Ana Teixeira-Marques, Catarina Lourenço, Miguel Carlos Oliveira, Rui Henrique, Carmen Jerónimo
    International Journal of Molecular Sciences.2023; 24(7): 6757.     CrossRef
  • Advances in the application of label‐free quantitative proteomics techniques in malignancy research
    Xiao Meng, Dong Liu, Yan Guan
    Biomedical Chromatography.2023;[Epub]     CrossRef
  • Off the fog to find the optimal choice: Research advances in biomarkers for early diagnosis and recurrence monitoring of bladder cancer
    Jiaxin Zhao, Jinming Li, Rui Zhang
    Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.2023; 1878(4): 188926.     CrossRef
  • An overview of metabolomic and proteomic profiling in bipolar disorder and its clinical value
    Henrique Caracho Ribeiro, Flávia da Silva Zandonadi, Alessandra Sussulini
    Expert Review of Proteomics.2023; 20(11): 267.     CrossRef
  • Proteome and immune responses of extracellular vesicles derived from macrophages infected with the periodontal pathogen Tannerella forsythia
    Younggap Lim, Hyun Young Kim, Dohyun Han, Bong‐Kyu Choi
    Journal of Extracellular Vesicles.2023;[Epub]     CrossRef
  • A Liquid Biopsy in Bladder Cancer—The Current Landscape in Urinary Biomarkers
    Milena Matuszczak, Adam Kiljańczyk, Maciej Salagierski
    International Journal of Molecular Sciences.2022; 23(15): 8597.     CrossRef
  • Next-generation proteomics of serum extracellular vesicles combined with single-cell RNA sequencing identifies MACROH2A1 associated with refractory COVID-19
    Takahiro Kawasaki, Yoshito Takeda, Ryuya Edahiro, Yuya Shirai, Mari Nogami-Itoh, Takanori Matsuki, Hiroshi Kida, Takatoshi Enomoto, Reina Hara, Yoshimi Noda, Yuichi Adachi, Takayuki Niitsu, Saori Amiya, Yuta Yamaguchi, Teruaki Murakami, Yasuhiro Kato, Tak
    Inflammation and Regeneration.2022;[Epub]     CrossRef
  • 8,103 View
  • 279 Download
  • 10 Web of Science
  • 11 Crossref
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Proteomic Biomarkers for Bisphenol A–Early Exposure and Women’s Thyroid Cancer
Ho-Sun Lee, Yunkyeong Kang, Kyung Tae, Gyu-Un Bae, Jong Y. Park, Yoon Hee Cho, Mihi Yang
Cancer Res Treat. 2018;50(1):111-117.   Published online March 8, 2017
DOI: https://doi.org/10.4143/crt.2017.001
AbstractAbstract PDFPubReaderePub
Purpose
For the target treatment and prevention of women’s increased thyroid cancer, we focused on risks of environmental exposure to endocrine disrupting chemicals, particularly bisphenol A (BPA), and its high susceptible exposure-timing, particularly early exposure in lives.
Materials and Methods
Female ICR mice were exposed to BPA in utero and in early life (15, 75, and 300 mg/L of drinking water via pregnant mice and lactation). We identified BPA-responsive proteins in mice thyroid by two-dimensional gel electrophoresis, image analyses, and electrospray ionization quadrupole time-of-flight mass spectrometry. We further analyzed expression of the BPA-responsive proteins in women thyroid cancer patients (n=28).
Results
We found the altered 17 proteins in BPA dose-dependent manner among the thyroid tissues of offspring mice and identified nine proteins of them, including Anxa6, Atp5b, Hspa5, and Vcp, etc. In addition, we observed the positive association between blood BPA levels and mRNA expression of the ANXA6 and VCP not in normal but thyroid cancer tissues.
Conclusion
Our study provides ANXA6 and VCP as proteomic biomarkers for BPA–early life exposure and their potential for women’s thyroid cancer.

Citations

Citations to this article as recorded by  
  • Predictive Value and Immunological Role of the HSPA5 Gene in Cervical Cancer
    Yingying Bai, Yandong Miao, Jiangtao Wang, Jian Gan, Jiang Feng
    Biochemical Genetics.2024;[Epub]     CrossRef
  • Subchronic toxic effects of bisphenol A on the gut-liver-hormone axis in rats via intestinal flora and metabolism
    Jiaqi Wang, Ce Su, Mingqin Qian, Xin Wang, Changlan Chen, Yangcheng Liu, Wei Liu, Zheng Xiang, Baoli Xu
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Annexin A protein family: Focusing on the occurrence, progression and treatment of cancer
    Huhu Zhang, Zhe Zhang, Tingting Guo, Guang Chen, Guoxiang Liu, Qinghang Song, Guichun Li, Fenghua Xu, Xiaolei Dong, Fanghao Yang, Can Cao, Di Zhong, Shuang Li, Ya Li, Mengjun Wang, Bing Li, Lina Yang
    Frontiers in Cell and Developmental Biology.2023;[Epub]     CrossRef
  • Current Evidence on Bisphenol A Exposure and the Molecular Mechanism Involved in Related Pathological Conditions
    Ylenia Della Rocca, Enrico Matteo Traini, Francesca Diomede, Luigia Fonticoli, Oriana Trubiani, Alessia Paganelli, Jacopo Pizzicannella, Guya Diletta Marconi
    Pharmaceutics.2023; 15(3): 908.     CrossRef
  • ANXA6: a key molecular player in cancer progression and drug resistance
    Jinlong Cao, Shun Wan, Siyu Chen, Li Yang
    Discover Oncology.2023;[Epub]     CrossRef
  • Assessment of five typical environmental endocrine disruptors and thyroid cancer risk: a meta-analysis
    Yuyao Yang, Xiaoyue Bai, Juan Lu, Ronghao Zou, Rui Ding, Xiaohui Hua
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Linking Late Endosomal Cholesterol with Cancer Progression and Anticancer Drug Resistance
    Mai K. L. Nguyen, Jaimy Jose, Mohamed Wahba, Marc Bernaus-Esqué, Andrew J. Hoy, Carlos Enrich, Carles Rentero, Thomas Grewal
    International Journal of Molecular Sciences.2022; 23(13): 7206.     CrossRef
  • Oncoproteomics: insight into current proteomic technologies in cancer biomarker discovery and treatment
    Shrestha Dutta, Swatilekha Ghosh, Abhishek Mishra, Rajgourab Ghosh
    Journal of Proteins and Proteomics.2022;[Epub]     CrossRef
  • A comprehensive review on the carcinogenic potential of bisphenol A: clues and evidence
    Nadeem Ghani Khan, Jacinta Correia, Divya Adiga, Padmalatha Satwadi Rai, Herman Sunil Dsouza, Sanjiban Chakrabarty, Shama Prasada Kabekkodu
    Environmental Science and Pollution Research.2021; 28(16): 19643.     CrossRef
  • Valosin-Containing Protein (VCP)/p97: A Prognostic Biomarker and Therapeutic Target in Cancer
    Susan Costantini, Francesca Capone, Andrea Polo, Palmina Bagnara, Alfredo Budillon
    International Journal of Molecular Sciences.2021; 22(18): 10177.     CrossRef
  • Bisphenol A Activates an Innate Viral Immune Response Pathway
    Mark L. Sowers, Hui Tang, Bing Tian, Randall Goldblum, Terumi Midoro-Horiuti, Kangling Zhang
    Journal of Proteome Research.2020; 19(2): 644.     CrossRef
  • Ion-Trap Mass Spectrometric Analysis of Bisphenol A Interactions With Titanium Dioxide Nanoparticles and Milk Proteins
    Edward P.C. Lai, Hendrik Kersten, Thorsten Benter
    Molecules.2020; 25(3): 708.     CrossRef
  • ANXA6 Contributes to Radioresistance by Promoting Autophagy via Inhibiting the PI3K/AKT/mTOR Signaling Pathway in Nasopharyngeal Carcinoma
    Qianping Chen, Wang Zheng, Lin Zhu, Dan Yao, Chen Wang, Yimeng Song, Songling Hu, Hongxia Liu, Yang Bai, Yan Pan, Jianghong Zhang, Jian Guan, Chunlin Shao
    Frontiers in Cell and Developmental Biology.2020;[Epub]     CrossRef
  • Diverse Roles of Annexin A6 in Triple-Negative Breast Cancer Diagnosis, Prognosis and EGFR-Targeted Therapies
    Olga Y. Korolkova, Sarrah E. Widatalla, Stephen D. Williams, Diva S. Whalen, Heather K. Beasley, Josiah Ochieng, Thomas Grewal, Amos M. Sakwe
    Cells.2020; 9(8): 1855.     CrossRef
  • Lapatinib-induced annexin A6 upregulation as an adaptive response of triple-negative breast cancer cells to EGFR tyrosine kinase inhibitors
    Sarrah E Widatalla, Olga Y Korolkova, Diva S Whalen, J Shawn Goodwin, Kevin P Williams, Josiah Ochieng, Amos M Sakwe
    Carcinogenesis.2019; 40(8): 998.     CrossRef
  • Evaluating Chemicals for Thyroid Disruption: Opportunities and Challenges with in Vitro Testing and Adverse Outcome Pathway Approaches
    Pamela D. Noyes, Katie Paul Friedman, Patience Browne, Jonathan T. Haselman, Mary E. Gilbert, Michael W. Hornung, Stan Barone, Kevin M. Crofton, Susan C. Laws, Tammy E. Stoker, Steven O. Simmons, Joseph E. Tietge, Sigmund J. Degitz
    Environmental Health Perspectives.2019;[Epub]     CrossRef
  • Isobaric tags for relative and absolute quantitation‑based proteomics reveals potential novel biomarkers for the early diagnosis of acute myocardial infarction within 3�h
    Changqing Du, Yingzheng Weng, Jiangjie Lou, Guangzhong Zeng, Xiaowei Liu, Hongfeng Jin, Senna Lin, Lijiang Tang
    International Journal of Molecular Medicine.2019;[Epub]     CrossRef
  • Bisphenol A and estradiol impede myoblast differentiation through down-regulating Akt signaling pathway
    Ga-Yeon Go, Sang-Jin Lee, Ayoung Jo, Jae-Rin Lee, Jong-Sun Kang, Mihi Yang, Gyu-Un Bae
    Toxicology Letters.2018; 292: 12.     CrossRef
  • Determination of Highly Sensitive Biological Cell Model Systems to Screen BPA-Related Health Hazards Using Pathway Studio
    Do-Yeal Ryu, Md Rahman, Myung-Geol Pang
    International Journal of Molecular Sciences.2017; 18(9): 1909.     CrossRef
  • 12,899 View
  • 441 Download
  • 19 Web of Science
  • 19 Crossref
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Review Article
Systems Biology Approaches to Decoding the Genome of Liver Cancer
Ju-Seog Lee, Ji Hoon Kim, Yun-Yong Park, Gordon B. Mills
Cancer Res Treat. 2011;43(4):205-211.   Published online December 27, 2011
DOI: https://doi.org/10.4143/crt.2011.43.4.205
AbstractAbstract PDFPubReaderePub
Molecular classification of cancers has been significantly improved patient outcomes through the implementation of treatment protocols tailored to the abnormalities present in each patient's cancer cells. Breast cancer represents the poster child with marked improvements in outcome occurring due to the implementation of targeted therapies for estrogen receptor or human epidermal growth factor receptor-2 positive breast cancers. Important subtypes with characteristic molecular features as potential therapeutic targets are likely to exist for all tumor lineages including hepatocellular carcinoma (HCC) but have yet to be discovered and validated as targets. Because each tumor accumulates hundreds or thousands of genomic and epigenetic alterations of critical genes, it is challenging to identify and validate candidate tumor aberrations as therapeutic targets or biomarkers that predict prognosis or response to therapy. Therefore, there is an urgent need to devise new experimental and analytical strategies to overcome this problem. Systems biology approaches integrating multiple data sets and technologies analyzing patient tissues holds great promise for the identification of novel therapeutic targets and linked predictive biomarkers allowing implementation of personalized medicine for HCC patients.

Citations

Citations to this article as recorded by  
  • Systems Challenges of Hepatic Carcinomas: A Review
    Dhatri Madduru, Johny Ijaq, Sujata Dhar, Saumyadip Sarkar, Naresh Poondla, Partha S. Das, Silvia Vasquez, Prashanth Suravajhala
    Journal of Clinical and Experimental Hepatology.2019; 9(2): 233.     CrossRef
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    Yuan Tian, Vincent Wai-Sun Wong, Henry Lik-Yuen Chan, Alfred Sze-Lok Cheng
    Seminars in Cancer Biology.2013; 23(6): 471.     CrossRef
  • The Impact of Network Medicine in Gastroenterology and Hepatology
    György Baffy
    Clinical Gastroenterology and Hepatology.2013; 11(10): 1240.     CrossRef
  • 10,013 View
  • 64 Download
  • 3 Crossref
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Erratum
ERRATUM: Correction for Incorrect Citation of Reference and Wording in a Table
Cancer Res Treat. 2011;43(3):204-204.   Published online September 30, 2011
DOI: https://doi.org/10.4143/crt.2011.43.3.204
AbstractAbstract PDFPubReaderePub
No abstract available.
  • 6,499 View
  • 42 Download
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Original Articles
Up-regulation of RhoGDI2 in Human Breast Cancer and Its Prognostic Implications
Hyeong-Gon Moon, Sang-Ho Jeong, Young-Tae Ju, Chi-Young Jeong, Jong Sil Lee, Young-Joon Lee, Soon-Chan Hong, Sang-Kyung Choi, Woo-Song Ha, Soon-Tae Park, Eun-Jung Jung
Cancer Res Treat. 2010;42(3):151-156.   Published online September 30, 2010
DOI: https://doi.org/10.4143/crt.2010.42.3.151
AbstractAbstract PDFPubReaderePub
Purpose

Recent research has identified many genes and proteins that play specific roles in the process of systemic metastasis in various types of cancer. Rho GDP dissociation inhibitor 2 (RhoGDI2) has been shown to inhibit metastasis in human bladder cancer, but its role in breast cancer is controversial.

Materials and Methods

We examined the regulation and clinical significance of RhoGDI2 in Korean breast cancer patients by using proteomic approaches.

Results

By using a proteomic approach, we observed an increased expression of RhoGDI2 in human breast cancer tissues when compared to that of the normal breast tissues, and we validated its up-regulation in an independent cohort of 8 breast cancer patients. The clinical implication of a RhoGDI2 expression was investigated in 57 breast cancer patients by performing immunohistochemistry. RhoGDI2 did not show a significant association with the tumor size, lymph node metastasis, the histologic grade or the hormone receptor status. However, the patients with RhoGDI2-expressing tumors had significantly shorter disease-free survival (p=0.043; hazard ratio, 3.87) and distant metastasis-free survival (p=0.039; hazard ratio, 5.15).

Conclusion

Our results demonstrated a potential role of RhoGDI2 as a poor prognostic marker as well as a potential therapeutic target. The pro-metastatic nature of RhoGDI2 shown in our study may indicate its organ-specific role in cancer metastasis.

Citations

Citations to this article as recorded by  
  • Differential functions of RhoGDIβ in malignant transformation and progression of urothelial cell following N-butyl-N-(4-hydmoxybutyl) nitrosamine exposure
    Xiaohui Hua, Ronghao Zou, Xiaoyue Bai, Yuyao Yang, Juan Lu, Chuanshu Huang
    BMC Biology.2023;[Epub]     CrossRef
  • Systematic investigation of biomarker-like role of ARHGDIB in breast cancer
    Xiaonan Wang, Xiaomin Bi, Xing Huang, Bijun Wang, Qianying Guo, Zhengsheng Wu
    Cancer Biomarkers.2020; 28(1): 101.     CrossRef
  • Up regulation of Rho-associated coiled-coil containing kinase1 (ROCK1) is associated with genetic instability and poor prognosis in prostate cancer
    Stefan Steurer, Benjamin Hager, Franziska Büscheck, Doris Höflmayer, Maria Christina Tsourlakis, Sarah Minner, Till S. Clauditz, Claudia Hube-Magg, Andreas M. Luebke, Ronald Simon, Jakob R. Izbicki, Eike Burandt, Guido Sauter, Christoph Fraune, Sören Weid
    Aging.2019; 11(18): 7859.     CrossRef
  • Prognostic value of Rho GDP dissociation inhibitors in patients with hepatocellular carcinoma following liver transplantation
    Ming-Chun Lai, Qian-Qian Zhu, Kwabena-Gyabaah Owusu-Ansah, Yang-Bo Zhu, Zhe Yang, Hai-Yang Xie, Lin Zhou, Li-Ming Wu, Shu-Sen Zheng
    Oncology Letters.2017; 14(2): 1395.     CrossRef
  • RNA interference-mediated knockdown of RhoGDI2 induces the migration and invasion of human lung cancer A549 cells via activating the PI3K/Akt pathway
    Huiyan Niu, Baogang Wu, Yang Peng, Hongfang Jiang, Yi Zhang, Jiahe Wang, Yifei Zhang, Ping He
    Tumor Biology.2015; 36(1): 409.     CrossRef
  • Patient Mutation Directed shRNA Screen Uncovers Novel Bladder Tumor Growth Suppressors
    Jonathan Hensel, Jason E. Duex, Charles Owens, Garrett M. Dancik, Michael G. Edwards, Henry F. Frierson, Dan Theodorescu
    Molecular Cancer Research.2015; 13(9): 1306.     CrossRef
  • Comparative proteomic profiling of triple-negative breast cancer reveals that up-regulation of RhoGDI-2 is associated to the inhibition of caspase 3 and caspase 9
    Marcos A. Muñiz Lino, Yadira Palacios-Rodríguez, Sergio Rodríguez-Cuevas, Verónica Bautista-Piña, Laurence A. Marchat, Erika Ruíz-García, Horacio Astudillo-de la Vega, Ana E. González-Santiago, Ali Flores-Pérez, José Díaz-Chávez, Ángeles Carlos-Reyes, Eli
    Journal of Proteomics.2014; 111: 198.     CrossRef
  • Ectopic expression of miR-34a enhances radiosensitivity of non-small cell lung cancer cells, partly by suppressing the LyGDI signaling pathway
    Weiming Duan, Yaxiang Xu, YuJin Dong, Lili Cao, Jian Tong, Xinwen Zhou
    Journal of Radiation Research.2013; 54(4): 611.     CrossRef
  • Expression of a tumor-associated gene, LASS2, in the human bladder carcinoma cell lines BIU-87, T24, EJ and EJ-M3
    QINGHUA ZHAO, HAIFENG WANG, MINGYING YANG, DELIN YANG, YIGANG ZUO, JIANSONG WANG
    Experimental and Therapeutic Medicine.2013; 5(3): 942.     CrossRef
  • RhoGDI2 suppresses lung metastasis in mice by reducing tumor versican expression and macrophage infiltration
    Neveen Said, Marta Sanchez-Carbayo, Steven C. Smith, Dan Theodorescu
    Journal of Clinical Investigation.2012; 122(4): 1503.     CrossRef
  • Overexpression of RhoGDI2 Correlates with Tumor Progression and Poor Prognosis in Colorectal Carcinoma
    Xianzheng Li, Jianmei Wang, Xiaojing Zhang, Yuanfeng Zeng, Li Liang, Yanqing Ding
    Annals of Surgical Oncology.2012; 19(1): 145.     CrossRef
  • Expression and prognostic significance of a new tumor metastasis suppressor gene LASS2 in human bladder carcinoma
    Haifeng Wang, Jiansong Wang, Yigang Zuo, Mingxia Ding, Ruping Yan, Delin Yang, Changxin Ke
    Medical Oncology.2012; 29(3): 1921.     CrossRef
  • The interrelationships between Src, Cav-1 and RhoGD12 in transitional cell carcinoma of the bladder
    T Qayyum, G Fyffe, M Duncan, P A McArdle, M Hilmy, C Orange, G Halbert, M Seywright, P G Horgan, M A Underwood, J Edwards
    British Journal of Cancer.2012; 106(6): 1187.     CrossRef
  • The faces and friends of RhoGDI2
    Erin M. Griner, Dan Theodorescu
    Cancer and Metastasis Reviews.2012; 31(3-4): 519.     CrossRef
  • Breast cancer proteomics reveals a positive correlation between glyoxalase 1 expression and high tumor grade
    MIGUEL A. FONSECA-SÁNCHEZ, SERGIO RODRÍGUEZ CUEVAS, GUILLERMO MENDOZA-HERNÁNDEZ, VERONICA BAUTISTA-PIÑA, ELENA ARECHAGA OCAMPO, ALFREDO HIDALGO MIRANDA, VALERIA QUINTANAR JURADO, LAURENCE A. MARCHAT, ELIZBETH ÁLVAREZ-SÁNCHEZ, CARLOS PÉREZ PLASENCIA, CÉSAR
    International Journal of Oncology.2012; 41(2): 670.     CrossRef
  • Reactive Center Loop Moiety Is Essential for the Maspin Activity on Cellular Invasion and Ubiquitin‐Proteasome Level
    Chakkrit Khanaree, Kongthawat Chairatvit, Sittiruk Roytrakul, Ariyaphong Wongnoppavich
    Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.2012; 20(9): 427.     CrossRef
  • NFIB is a potential target for estrogen receptor‐negative breast cancers
    Hyeong-Gon Moon, Ki-Tae Hwang, Jeong-Ah Kim, Hee Sung Kim, Min-Joo Lee, Eun-Mi Jung, Eunyoung Ko, Wonshik Han, Dong-Young Noh
    Molecular Oncology.2011; 5(6): 538.     CrossRef
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  • 17 Crossref
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Overexpression of α1-protease Inhibitor and Galectin-1 in Radiation-induced Early Phase of Pulmonary Fibrosis
Hee-Soon Im, Hyung-Doo Kim, Jie-Young Song, Youngsoo Han, Do-Youn Lee, Chan-Wha Kim, Yeon-Sook Yun
Cancer Res Treat. 2006;38(2):92-98.   Published online April 30, 2006
DOI: https://doi.org/10.4143/crt.2006.38.2.92
AbstractAbstract PDFPubReaderePub
Purpose

Radiation-induced pulmonary fibrosis (RIF) is a significant complication of radiotherapy for lung cancer. Despite the large number of studies, the molecular mechanisms of RIF are poorly understood. Therefore, the complex protein expression pattern in RIF was characterized by identifying the proteins with an altered expression level after thorax irradiation using two-dimensional electrophoresis (2-DE) and mass spectrometry.

Materials and Methods

A mouse model of RIF was used to examine the alteration of the lung proteome because of availability of murine data related to human cases and the abundance of murine fibrotic lung samples. A mouse model of RIF was induced in radiosensitive C57BL/6 mice. Twenty-one weeks after 25 Gy irradiation, hematoxylin-eosin staining and hydroxyproline assay confirmed the early-phase pulmonary fibrosis.

Results

Lung samples from the irradiated and age-matched control mice were used to generate 16 high quality 2-DE gels containing approximately 1,000 spots. Of the 31 significantly up- or down-regulated protein spots, 17 were identified by MALDI-TOF/MS.

Conclusions

Two important upregulated proteins were found, the α1-protease inhibitor and galectin-1, which might be used as potential markers for the early phase of RIF.

Citations

Citations to this article as recorded by  
  • Gal-1-mediated cytochrome p450 activation promotes fibroblast into myofibroblast differentiation in pulmonary fibrosis
    Jie Weng, Qianhui Cheng, Jingwen Yang, Haijuan Jin, Ran Zhang, Jiangan Guan, Yuan Ma, Liang Wang, Chan Chen, Zhiyi Wang
    International Immunopharmacology.2024; 141: 112920.     CrossRef
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    Chien-Hsiu Li, Yu-Chan Chang, Ming-Hsien Chan, Yi-Fang Yang, Shu-Mei Liang, Michael Hsiao
    Biomedicines.2021; 9(9): 1159.     CrossRef
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    David Bennett, Elena Bargagli, Nicola Bianchi, Claudia Landi, Antonella Fossi, Annalisa Fui, Piersante Sestini, Rosa Metella Refini, Paola Rottoli
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    Junko Nio-Kobayashi
    Anatomical Science International.2017; 92(1): 25.     CrossRef
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    Min Jin Lim, Jiyeon Ahn, Jae Youn Yi, Mi-Hyoung Kim, A-Rang Son, Sae-lo-oom Lee, Dae-Seog Lim, Sung Soo Kim, Mi Ae Kang, Youngsoo Han, Jie-Young Song
    Experimental Cell Research.2014; 326(1): 125.     CrossRef
  • 9,818 View
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Review Article
The Role of HPV E6 and E7 Oncoproteins in HPV-associated Cervical Carcinogenesis
Eun-Kyoung Yim, Jong-Sup Park
Cancer Res Treat. 2005;37(6):319-324.   Published online December 31, 2005
DOI: https://doi.org/10.4143/crt.2005.37.6.319
AbstractAbstract PDFPubReaderePub

Cervical cancer is one of the leading world causes of cancer morbidity and mortality in woman, with more than 98% related to a human papillomavirus (HPV) infection origin. Infection with specific subtypes of HPV has been strongly implicated in cervical carcinogenesis. The identification and functional verification of host proteins associated with HPV E6 and E7 oncoproteins may provide useful information in understanding cervical carcinogenesis and the development of cervical cancer-specific markers. The advent of functional genomics and proteomics has provided hope of discovering novel biological markers for use in the screening, early diagnosis, prognostication and prediction of response to therapy. Herein, we review the studies where the profiles of host proteins associated with HPV E6 and E7 oncoproteins in cervical cancer were generated.

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Original Articles
Identification of CLP36 as a Tumor Antigen that Induces an Antibody Response in Pancreatic Cancer
Su-Hyung Hong
Cancer Res Treat. 2005;37(1):71-77.   Published online February 28, 2005
DOI: https://doi.org/10.4143/crt.2005.37.1.71
AbstractAbstract PDFPubReaderePub
Purpose

Pancreatic cancer has a poor prognosis, due in part to the lack of an effective approach for its early detection. The identification of tumor antigens potentially provides a means for the early diagnosis. The purpose of this study was to use a proteomic approach for the identification of proteins that commonly induce a humoral response in patients with pancreatic cancer.

Materials and Methods

Proteins from the pancreatic adenocarcinoma cell line, BxPC3, were subjected to two-dimensional polyacrylamide gel electrophoresis, followed by Western blot analysis, where individual sera were tested for autoantibodies. Sera from 36 patients with pancreatic adenocarcinoma, and 68 from control groups (14 from lung adenocarcinoma, 19 from colon adenocarcinoma and 35 from healthy subjects) were analyzed. CLP36 expression was evaluated by immunohistochemical analysis and real-time PCR. The cellular localization of CLP36 as an autoantigen was investigated by Western blot analysis.

Results

The autoantibody was detected against a protein, identified by mass spectrometry as CLP36, in 14 of the 36 sera (38.9%) from patients with a pancreatic adenocarcinoma, and 3 of the 68 controls (4.4%). Immunohistochemical analysis of CLP36 in a tissue array demonstrated diffuse and consistent immunoreactivity in the pancreatic adenocarcinomas. The levels of CLP36 mRNA were highest in the pancreatic cancer cell lines of the different cells analyzed. The molecular weight of the protein displayed in the membrane-rich fraction was larger than that in the cytosolic fraction, which is likely attributable to a post-translational modification.

Conclusion

CLP36 was identified as a tumor autoantigen inducing a humoral immune response in pancreatic adenocarcinomas. More detailed studies need to be undertaken to understand whether the humoral response by CLP36 is tumor-specific.

Citations

Citations to this article as recorded by  
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    PLoS ONE.2013; 8(8): e66585.     CrossRef
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    Cancer Immunology, Immunotherapy.2010; 59(9): 1389.     CrossRef
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Proteome Analysis of Differential Protein Expression in Cervical Cancer Cells after Paclitaxel Treatment
Eun-Kyoung Yim, Jun-Sang Bae, Seung-Bak Lee, Keun-Ho Lee, Chan-Joo Kim, Sung-Eun Namkoong, Soo-Jong Um, Jong-Sup Park
Cancer Res Treat. 2004;36(6):395-399.   Published online December 31, 2004
DOI: https://doi.org/10.4143/crt.2004.36.6.395
AbstractAbstract PDFPubReaderePub
Purpose

It is well known that infection with HPV (human papillomavirus) is the main cause of cervical cancer and certain types of HPV are recognized as carcinogens. At present, there is little information regarding the antineoplastic mechanism of paclitaxel against cervical carcinoma cells. We thus tried to analyze differential protein expression and antineoplastic mechanism-related proteins after paclitaxel treatment on cervical cancer cells by using a proteomic analysis and to investigate the mechanism of action.

Materials and Methods

Using proteomics analysis including 2-DE and MALDI-TOF-MS, we detected the antineoplastic mechanism-related proteins. Then, we performed western blot analysis for apoptosis- and transformation-related proteins to confirm expression patterns derived from proteome analysis after paclitaxel treatment.

Results

We identified several cellular proteins that are responsive to paclitaxel treatment in HeLa cells using proteomics methods. Paclitaxel treatment elevated mainly apoptosis, immune response and cell cycle check point-related proteins. On the other hand, paclitaxel treatment diminished growth factor/oncogene-related proteins and transcription regulation-related proteins. Also, in the HPV-associated cervical carcinoma cells, paclitaxel demonstrated anti-proliferative activity through the membrane death receptor-mediated apoptotic pathway and the mitochondrial-mediated pathway.

Conclusion

Identification and characterization of functionally modulated proteins involved in anti-cancer regulatory events should lead to a better understanding of the long-term actions of paclitaxel at the molecular level and will contribute to the future development of novel therapeutic drug treatments based upon current therapies.

Citations

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    Alexey K. Surin, Anna I. Malykhina, Michail V. Slizen, Alexey P. Kochetov, Mariya Yu. Suvorina, Vadim E. Biryulyov, Sergei Y. Grishin, Oxana V. Galzitskaya
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    Georgia Kontostathi, Jerome Zoidakis, Nicholas P. Anagnou, Kalliopi I. Pappa, Antonia Vlahou, Manousos Makridakis
    Expert Review of Proteomics.2016; 13(8): 731.     CrossRef
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    Haiyan Zhu, Jun Wu, Wenwen Zhang, Hui Luo, Zhaojun Shen, Huihui Cheng, Xueqiong Zhu
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    Yang Wang, Ru-Yuan Yu, Qing-Yu He
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    Huiling Liu, Yin Han, Ruoran Mi, Ying Zhang, Gang Su, Hailin Wang, Xin Zhou, Xiangwen Liu, Bingdong Zhu
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  • Impact of taxol on dermal papilla cells — A proteomics and bioinformatics analysis
    Pei-Hsiu Chen, Chih-Yuan Wang, Ching-Wu Hsia, Ming-Yi Ho, Ann Chen, Min-Jen Tseng, Yung-Fu Wu, Han-Min Chen, Tzu-Hao Huang, Hung-Te Liu, Hao-Ai Shui
    Journal of Proteomics.2011; 74(12): 2760.     CrossRef
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Expression Profiling of the Cellular Processes in Uterine Leiomyomas: Omic Approaches and IGF-2 Association with Leiomyosarcomas
Su Mi Bae, Yong-Wan Kim, Joon Mo Lee, Sung Eun Namkoong, Chong Kook Kim, Woong Shick Ahn
Cancer Res Treat. 2004;36(1):31-42.   Published online February 29, 2004
DOI: https://doi.org/10.4143/crt.2004.36.1.31
AbstractAbstract PDFPubReaderePub
Purpose

This study utilized both cDNA microarray and 2D protein gel electrophoresis technology to investigate the multiple interactions of the genes and proteins involved in the pathophysiology of uterine leiomyomas. Also, Gene Ontology (GO) analysis was used to systematically characterize the global expression profiles, which were found to correlate with the leiomyosarcomas.

Materials and Methods

The uterine leiomyoma biopsies were obtained from patients in the Department of Obstetrics and Gynecology, The Catholic University of Korea. Differentially expressed transcriptome and proteome, in 6 paired leiomyoma and normal myometrium, were profiled. The total RNAs from the leiomyoma and normal myometrium were labeled with Cy5 and Cy3. All specimens were punch-biopsy-obtained, and frozen in liquid nitrogen.

Results

Screening of up to 17,000 genes identified 71 that were either up-regulated or down-regulated (21 and 50, respectively). The gene expression profiles were classified into 420 mutually dependent functional sets, resulting in 611 cellular processes, according to the gene ontology. Also, the protein analysis, using 2D gel electrophoresis, identified 33 proteins (17 up-regulated and 16 down-regulated) with more than 500 total spots, which were classified into 302 cellular processes. O f these functional profilings, transcriptomes and proteoms down-regulations were shown in the cell adhesion, cell m otility, organogenesis, enzyme regulator, structural molecule activity and responses to external stimulus functional activities, which are supposed to play important roles in the pathophysiology. In contrast, up-regulation was only shown in the nucleic acid binding activity. The CDKN2A, ADH1A, DCX, IGF2, CRABP2 and KIF5C were found to increase the reliability of this study, and correlate with the leiomyosarcomas.

Conclusion

Potentially significant pathogenetic cellular processes showed that down-regulated functional profiling has an important impact on the discovery of the pathogenic pathways in leiomyomas and leiomyosarcomas. GO analysis can also overcome the complexity of the expression profiles of cDNA microarrays and 2D protein analyses, via a cellular process level approach. Thereby, a valuable prognostic candidate gene, with real relevance to disease-specific pathogenesis, can be found at cellular process levels.

Citations

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    María Cristina Carbajo-García, Elena Juarez-Barber, Marina Segura-Benítez, Amparo Faus, Alexandra Trelis, Javier Monleón, Greta Carmona-Antoñanzas, Antonio Pellicer, James M. Flanagan, Hortensia Ferrero
    Reproductive Biology and Endocrinology.2023;[Epub]     CrossRef
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    Tsai-Der Chuang, Jianjun Gao, Derek Quintanilla, Hayden McSwiggin, Drake Boos, Wei Yan, Omid Khorram
    International Journal of Molecular Sciences.2023; 24(4): 3742.     CrossRef
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    Özge KÖMÜRCÜ KARUSERCİ, Esra GÜZEL TANOĞLU, Halime Hanım PENÇE, Mete Gürol UĞUR
    Anatolian Current Medical Journal.2021; 3(1): 48.     CrossRef
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    Shubha Gururaja Rao, Neel J. Patel, Harpreet Singh
    Frontiers in Physiology.2020;[Epub]     CrossRef
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    Zorawar Singh
    Journal of Cancer Research and Practice.2018; 5(1): 1.     CrossRef
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    Liping Xia, Yan Liu, Yan Fu, Shengyi Dongye, Dewei Wang
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    Qiong Zou, Zhulin Yang, Daiqiang Li, Ziru Liu, Yuan yuan
    International Journal of Experimental Pathology.2016; 97(6): 422.     CrossRef
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    Marta Peretti, Marina Angelini, Nicoletta Savalli, Tullio Florio, Stuart H. Yuspa, Michele Mazzanti
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    BLENDI URA, FEDERICA SCRIMIN, FABRIZIO ZANCONATI, GIORGIO ARRIGONI, LORENZO MONASTA, ANDREA ROMANO, RUBINA BANCO, MARINA ZWEYER, DANIELA MILANI, GIUSEPPE RICCI
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    K.Stephen Suh, Mariam Malik, Anjali Shukla, Andrew Ryscavage, Lisa Wright, Kasey Jividen, John M. Crutchley, Rebecca A. Dumont, Ester Fernandez-Salas, Joshua D. Webster, R.Mark Simpson, Stuart H. Yuspa
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    Hoguen Kim
    Cancer Research and Treatment.2004; 36(1): 1.     CrossRef
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