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Kobayashi S, Hiwasa T, Kitamura K, Kano M, Hoshino T, Hirano S, Hashimoto M, Seimiya M, Shimada H, Nomura F, Matsubara H, Matsushita K. Combinational antibody detection approach increases the clinical validity of colorectal cancer screening. J Clin Lab Anal 2023; 37:e24978. [PMID: 37964630 PMCID: PMC10749486 DOI: 10.1002/jcla.24978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/27/2023] [Accepted: 10/15/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND At different stages of the disease, biomarkers can help to determine disease progression and recurrence and provide a personalized indicator of therapeutic effectiveness. The serological identification of antigens by recombinant cDNA expression cloning (SEREX) has identified five SEREX antigens. RESULTS Compared with healthy donors, anti-FIRΔexon2 and anti-SOHLH antibodies (Abs) in the sera of patients with colorectal cancer (CRC) were markedly higher. Furthermore, no correlation was noted between five SEREX antigens and the three tumor markers (CEA, CA19-9, and anti-p53 Abs), indicating that anti-FIRΔexon2 Abs are an independent candidate marker for patients with CRC. Generally, the levels of anti-FIRΔexon2 Abs combined with clinically available tumor markers were determined to be significantly higher compared with CEA, CA19-9. Moreover, in early-stage CRC, the levels of anti-FIRΔexon2 Abs combined with existing tumor markers were higher than those of CEA, CA19-9. CONCLUSION Due to the highly heterogeneous nature of CRC, a single tumor marker is unlikely to become a standalone diagnostic test due to its commonly insufficient sensitivity and/or specificity. Using a combination antibody detection approach of tumor markers for CRC diagnosis has the potential to be an effective approach. Therefore, the use of serum protein biomarker candidates holds promise for the development of inexpensive, noninvasive, and inexpensive tests for the detection of CRC.
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Affiliation(s)
- Sohei Kobayashi
- Department of Laboratory Medicine & Division of Clinical GeneticsChiba University HospitalChibaJapan
- Department of Medical Technology & Sciences, School of Health Sciences at NaritaInternational University of Health and WelfareChibaJapan
| | - Takaki Hiwasa
- Department of Neurological Surgery, Graduate School of MedicineChiba UniversityChibaJapan
| | - Kouichi Kitamura
- Department of Laboratory Medicine & Division of Clinical GeneticsChiba University HospitalChibaJapan
| | - Masayuki Kano
- Department of Frontier Surgery, Graduate School of MedicineChiba UniversityChibaJapan
| | - Tyuji Hoshino
- Department of Physical Chemistry, Graduate School of Pharmaceutical SciencesChiba UniversityChibaJapan
| | - Sho Hirano
- Department of Medical Technology & Sciences, School of Health Sciences at NaritaInternational University of Health and WelfareChibaJapan
| | - Mayuko Hashimoto
- Department of Medical Technology & Sciences, School of Health Sciences at NaritaInternational University of Health and WelfareChibaJapan
| | - Masanori Seimiya
- Department of Medical Technology & Sciences, School of Health Sciences at NaritaInternational University of Health and WelfareChibaJapan
| | - Hideaki Shimada
- Department of Gastroenterological Surgery, Graduate School of MedicineToho UniversityTokyoJapan
| | - Fumio Nomura
- Department of Laboratory Medicine & Division of Clinical GeneticsChiba University HospitalChibaJapan
| | - Hisahiro Matsubara
- Department of Frontier Surgery, Graduate School of MedicineChiba UniversityChibaJapan
| | - Kazuyuki Matsushita
- Department of Laboratory Medicine & Division of Clinical GeneticsChiba University HospitalChibaJapan
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Circulating Biomarkers of Colorectal Cancer (CRC)-Their Utility in Diagnosis and Prognosis. J Clin Med 2021; 10:jcm10112391. [PMID: 34071492 PMCID: PMC8199026 DOI: 10.3390/jcm10112391] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/25/2021] [Accepted: 05/25/2021] [Indexed: 02/06/2023] Open
Abstract
The global burden of colorectal cancer (CRC) is expected to increase, with 2.2 million new cases and 1.1 million annual deaths by 2030. Therefore, the establishment of novel biomarkers useful in the early diagnosis of CRC is of utmost importance. A number of publications have documented the significance of the overexpression of several specific proteins, such as inflammatory mediators, in CRC progression. However, little is known about the potential utility of these proteins as circulating blood tumor biomarkers of CRC. Therefore, in the present review we report the results of our previous original studies as well as the findings of other authors who investigated whether inflammatory mediators might be used as novel biomarkers in the diagnosis and prognosis of CRC. Our study revealed that among all of the tested proteins, serum M-CSF, CXCL-8, IL-6 and TIMP-1 have the greatest value in the diagnosis and progression of CRC. Serum TIMP-1 is useful in differentiating between CRC and colorectal adenomas, whereas M-CSF and CRP are independent prognostic factors for the survival of patients with CRC. This review confirms the promising significance of these proteins as circulating biomarkers for CRC. However, due to their non-specific nature, further validation of their sensitivity and specificity is required.
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Shao S, Neely BA, Kao TC, Eckhaus J, Bourgeois J, Brooks J, Jones EE, Drake RR, Zhu K. Proteomic Profiling of Serial Prediagnostic Serum Samples for Early Detection of Colon Cancer in the U.S. Military. Cancer Epidemiol Biomarkers Prev 2016; 26:711-718. [PMID: 28003179 DOI: 10.1158/1055-9965.epi-16-0732] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 11/23/2016] [Accepted: 12/07/2016] [Indexed: 01/24/2023] Open
Abstract
Background: Serum proteomic biomarkers offer a promising approach for early detection of cancer. In this study, we aimed to identify proteomic profiles that could distinguish colon cancer cases from controls using serial prediagnostic serum samples.Methods: This was a nested case-control study of active duty military members. Cases consisted of 264 patients diagnosed with colon cancer between 2001 and 2009. Controls were matched to cases on age, gender, race, serum sample count, and collection date. We identified peaks that discriminated cases from controls using random forest data analysis with a 2/3 training and 1/3 validation dataset. We then included epidemiologic data to see whether further improvement of model performance was obtainable. Proteins that corresponded to discriminatory peaks were identified.Results: Peaks with m/z values of 3,119.32, 2,886.67, 2,939.23, and 5,078.81 were found to discriminate cases from controls with a sensitivity of 69% and a specificity of 67% in the year before diagnosis. When smoking status was included, sensitivity increased to 76% while histories of other cancer and tonsillectomy raised specificity to 76%. Peaks at 2,886.67 and 3,119.32 m/z were identified as histone acetyltransferases while 2,939.24 m/z was a transporting ATPase subunit.Conclusions: Proteomic profiles in the year before cancer diagnosis have the potential to discriminate colon cancer patients from controls, and the addition of epidemiologic information may increase the sensitivity and specificity of discrimination.Impact: Our findings indicate the potential value of using serum prediagnostic proteomic biomarkers in combination with epidemiologic data for early detection of colon cancer. Cancer Epidemiol Biomarkers Prev; 26(5); 711-8. ©2016 AACR.
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Affiliation(s)
- Stephanie Shao
- Division of Epidemiology and Biostatistics, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland.,John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Benjamin A Neely
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics and MUSC Proteomics Center, Medical University of South Carolina, Charleston, South Carolina
| | - Tzu-Cheg Kao
- Division of Epidemiology and Biostatistics, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Janet Eckhaus
- Division of Epidemiology and Biostatistics, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Jolie Bourgeois
- Division of Epidemiology and Biostatistics, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Jasmin Brooks
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics and MUSC Proteomics Center, Medical University of South Carolina, Charleston, South Carolina
| | - Elizabeth E Jones
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics and MUSC Proteomics Center, Medical University of South Carolina, Charleston, South Carolina
| | - Richard R Drake
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics and MUSC Proteomics Center, Medical University of South Carolina, Charleston, South Carolina
| | - Kangmin Zhu
- Division of Epidemiology and Biostatistics, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland. .,John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Bethesda, Maryland
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Deng BG, Yao JH, Liu QY, Feng XJ, Liu D, Zhao L, Tu B, Yang F. Comparative serum proteomic analysis of serum diagnosis proteins of colorectal cancer based on magnetic bead separation and maldi-tof mass spectrometry. Asian Pac J Cancer Prev 2014; 14:6069-75. [PMID: 24289627 DOI: 10.7314/apjcp.2013.14.10.6069] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND At present, the diagnosis of colorectal cancer (CRC) requires a colorectal biopsy which is an invasive procedure. We undertook this pilot study to develop an alternative method and potential new biomarkers for diagnosis, and validated a set of well-integrated tools called ClinProt to investigate the serum peptidome in CRC patients. METHODS Fasting blood samples from 67 patients diagnosed with CRC by histological diagnosis, 55 patients diagnosed with colorectal adenoma by biopsy, and 65 healthy volunteers were collected. Division was into a model construction group and an external validation group randomly. The present work focused on serum proteomic analysis of model construction group by ClinProt Kit combined with mass spectrometry. This approach allowed construction of a peptide pattern able to differentiate the studied populations. An external validation group was used to verify the diagnostic capability of the peptidome pattern blindly. An immunoassay method was used to determine serum CEA of CRC and controls. RESULTS The results showed 59 differential peptide peaks in CRC, colorectal adenoma and health volunteers. A genetic algorithm was used to set up the classification models. Four of the identified peaks at m/z 797, 810, 4078 and 5343 were used to construct peptidome patterns, achieving an accuracy of 100% (> CEA, P < 0. 05). Furthermore, the peptidome patterns could differentiate the validation group with high accuracy close to 100%. CONCLUSIONS Our results showed that proteomic analysis of serum with MALDI-TOF MS is a fast and reproducible approach, which may provide a novel approach to screening for CRC.
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Affiliation(s)
- Bao-Guo Deng
- Department of Microbiology, Xinxiang Medical University, Xinxiang, China E-mail :
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Reumer A, Maes E, Mertens I, Cho WCS, Landuyt B, Valkenborg D, Schoofs L, Baggerman G. Colorectal cancer biomarker discovery and validation using LC-MS/MS-based proteomics in blood: truth or dare? Expert Rev Proteomics 2014; 11:449-463. [PMID: 24702250 DOI: 10.1586/14789450.2014.905743] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Globally, colorectal cancer (CRC) is the third most common malignant neoplasm. However, highly sensitive, specific, noninvasive tests that allow CRC diagnosis at an early stage are still needed. As circulatory blood reflects the physiological status of an individual and/or the disease status for several disorders, efforts have been undertaken to identify candidate diagnostic CRC markers in plasma and serum. In this review, the challenges, bottlenecks and promising properties of mass spectrometry (MS)-based proteomics in blood are discussed. More specifically, important aspects in clinical design, sample retrieval, sample preparation, and MS analysis are presented. The recent developments in targeted MS approaches in plasma or serum are highlighted as well.
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Affiliation(s)
- Ank Reumer
- KU Leuven, Animal Physiology and Neurobiology Section, Naamsestraat 59, BE-3000 Leuven, Belgium
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Binefa G, Rodríguez-Moranta F, Teule &A, Medina-Hayas M. Colorectal cancer: from prevention to personalized medicine. World J Gastroenterol 2014; 20:6786-808. [PMID: 24944469 PMCID: PMC4051918 DOI: 10.3748/wjg.v20.i22.6786] [Citation(s) in RCA: 235] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2013] [Revised: 01/16/2014] [Accepted: 03/06/2014] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) is a very heterogeneous disease that is caused by the interaction of genetic and environmental factors. CRC develops through a gradual accumulation of genetic and epigenetic changes, leading to the transformation of normal colonic mucosa into invasive cancer. CRC is one of the most prevalent and incident cancers worldwide, as well as one of the most deadly. Approximately 1235108 people are diagnosed annually with CRC, and 609051 die from CRC annually. The World Health Organization estimates an increase of 77% in the number of newly diagnosed cases of CRC and an increase of 80% in deaths from CRC by 2030. The incidence of CRC can benefit from different strategies depending on its stage: health promotion through health education campaigns (when the disease is not yet present), the implementation of screening programs (for detection of the disease in its early stages), and the development of nearly personalized treatments according to both patient characteristics (age, sex) and the cancer itself (gene expression). Although there are different strategies for screening and although the number of such strategies is increasing due to the potential of emerging technologies in molecular marker application, not all strategies meet the criteria required for screening tests in population programs; the three most accepted tests are the fecal occult blood test (FOBT), colonoscopy and sigmoidoscopy. FOBT is the most used method for CRC screening worldwide and is also the primary choice in most population-based screening programs in Europe. Due to its non-invasive nature and low cost, it is one of the most accepted techniques by population. CRC is a very heterogeneous disease, and with a few exceptions (APC, p53, KRAS), most of the genes involved in CRC are observed in a small percentage of cases. The design of genetic and epigenetic marker panels that are able to provide maximum coverage in the diagnosis of colorectal neoplasia seems a reasonable strategy. In recent years, the use of DNA, RNA and protein markers in different biological samples has been explored as strategies for CRC diagnosis. Although there is not yet sufficient evidence to recommend the analysis of biomarkers such as DNA, RNA or proteins in the blood or stool, it is likely that given the quick progression of technology tools in molecular biology, increasingly sensitive and less expensive, these tools will gradually be employed in clinical practice and will likely be developed in mass.
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7
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Fan NJ, Kang R, Ge XY, Li M, Liu Y, Chen HM, Gao CF. Identification alpha-2-HS-glycoprotein precursor and tubulin beta chain as serology diagnosis biomarker of colorectal cancer. Diagn Pathol 2014; 9:53. [PMID: 24618180 PMCID: PMC3975189 DOI: 10.1186/1746-1596-9-53] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Accepted: 03/05/2014] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Colorectal cancer (CRC) remains a major worldwide cause of cancer-related morbidity and mortality largely due to the insidious onset of the disease. The current clinical procedures utilized for disease diagnosis are invasive, unpleasant, and inconvenient. Hence, the need for simple blood tests that could be used for the early detection is crucial for its ultimate control and prevention. METHODS The present work is a case-control study focused on proteomic analysis of serum of healthy volunteers and CRC patients by the ClinProt profiling technology based on mass spectrometry. This approach allowed to identifying a pattern of proteins/peptides able to differentiate the studied populations. Moreover, some of peptides differentially expressed in the serum of patients as compared to healthy volunteers were identified by LTQ Orbitrap XL. RESULTS A Quick Classifier Algorithm was used to construct the peptidome patterns (m/z 1208, 1467, 1505, 1618, 1656 and 4215) for the identification of CRC from healthy volunteers with accuracy close to 100% (>CEA, P < 0.05). Peaks at m/z 1505 and 1618 were identified as alpha-2-HS-glycoprotein precursor and tubulin beta chain, respectively. CONCLUSIONS Alpha-2-HS-glycoprotein precursor and tubulin beta chain could be involved in the pathogenesis of CRC and perform as potential serology diagnosis biomarker. VIRTUAL SLIDES The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/4796578761089186.
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Affiliation(s)
| | | | | | | | | | | | - Chun-fang Gao
- Institute of Anal-colorectal Surgery, No,150 Central Hospital of PLA, Luoyang, RP China.
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Hudler P, Kocevar N, Komel R. Proteomic approaches in biomarker discovery: new perspectives in cancer diagnostics. ScientificWorldJournal 2014; 2014:260348. [PMID: 24550697 PMCID: PMC3914447 DOI: 10.1155/2014/260348] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Accepted: 10/08/2013] [Indexed: 12/14/2022] Open
Abstract
Despite remarkable progress in proteomic methods, including improved detection limits and sensitivity, these methods have not yet been established in routine clinical practice. The main limitations, which prevent their integration into clinics, are high cost of equipment, the need for highly trained personnel, and last, but not least, the establishment of reliable and accurate protein biomarkers or panels of protein biomarkers for detection of neoplasms. Furthermore, the complexity and heterogeneity of most solid tumours present obstacles in the discovery of specific protein signatures, which could be used for early detection of cancers, for prediction of disease outcome, and for determining the response to specific therapies. However, cancer proteome, as the end-point of pathological processes that underlie cancer development and progression, could represent an important source for the discovery of new biomarkers and molecular targets for tailored therapies.
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Affiliation(s)
- Petra Hudler
- Medical Centre for Molecular Biology, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia
| | - Nina Kocevar
- Medical Centre for Molecular Biology, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia
| | - Radovan Komel
- Medical Centre for Molecular Biology, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia
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9
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Zhu D, Wang J, Ren L, Li Y, Xu B, Wei Y, Zhong Y, Yu X, Zhai S, Xu J, Qin X. Serum proteomic profiling for the early diagnosis of colorectal cancer. J Cell Biochem 2013; 114:448-55. [PMID: 22961748 DOI: 10.1002/jcb.24384] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2012] [Accepted: 08/30/2012] [Indexed: 12/17/2022]
Abstract
No ideal serum biomarker currently exists for the early diagnosis of colorectal cancer (CRC). Magnetic bead-based fractionation coupled with MALDI-TOF MS was used to screen serum samples from CRC patients, healthy controls, and other cancer patients. A diagnostic model with five proteomic features (m/z 1778.97, 1866.16, 1934.65, 2022.46, and 4588.53) was generated using Fisher algorithm with best performance. The Fisher-based model could discriminate CRC patients from the controls with 100% (46/46) sensitivity and 100% (35/35) specificity in the training set, 95.6% (43/45) sensitivity and 83.3% (35/42) specificity in the test set. We further validated the model with 94.4% (254/269) sensitivity and 75.5% (83/110) specificity in the external independent group. In other cancers group, the Fisher-based model classified 25 of 46 samples (54.3%) as positive and the other 21 as negative. With FT-ICR-MS, the proteomic features of m/z 1778.97, 1866.16, 1934.65, and 2022.46, of which intensities decreased significantly in CRC, were identified as fragments of complement C3f. Therefore, the Fisher-based model containing five proteomic features was able to effectively differentiate CRC patients from healthy controls and other cancers with a high sensitivity and specificity, and may be CRC-specific. Serum complement C3f, which was significantly decreased in CRC group, may be relevant to the incidence of CRC.
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Affiliation(s)
- Dexiang Zhu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
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Yang ZY, Gu QL. Advances in understanding the role of metallopanstimulin-1 in tumors. Shijie Huaren Xiaohua Zazhi 2012; 20:3558-3563. [DOI: 10.11569/wcjd.v20.i35.3558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Metallopanstimulin-1 (MPS-1), belonging to the ribosomal protein S27E family, is ubiquitously expressed in all normal tissues except the brain and placenta. In addition, MPS-1 is highly expressed in malignant tumors and cells. MPS-1 as a tumor marker or tumor-associated antigen has been extensively studied in head and neck cancer and breast cancer. MPS-1 is highly expressed in gastric cancer. Knockdown of MPS-1 expression inhibits the growth of cancer cells both in vitro and in vivo and induces spontaneous apoptosis of gastric cancer cells by repressing the NF-κB signaling pathway. In addition, MPS-1 is also highly expressed in colonic cancer and has a close relationship with the degree of malignancy and prognosis. Therefore, MPS-1 may be a novel potential therapeutic target for cancers.
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Creeden J, Junker F, Vogel-Ziebolz S, Rex D. Serum Tests for Colorectal Cancer Screening. Mol Diagn Ther 2012; 15:129-41. [DOI: 10.1007/bf03256403] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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12
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Kim SY, Kim JS, Hwang SH, Park HK, Lee JH, Lee DH, Hah SS, Park DY. Progastrin-releasing peptide is a candidate marker for quality control in clinical sample processing and storage. Am J Clin Pathol 2012; 137:277-82. [PMID: 22261454 DOI: 10.1309/ajcpdy5fpqowa2na] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
For clinical epidemiologic and proteomic studies, the control of preanalytic variation, including sample processing and storage, is important. We evaluated the stability of progastrin-releasing peptide (ProGRP) as a marker for the quality control of stored serum and plasma samples. The ProGRP from 23 healthy volunteers was measured serially for 8 hours at room temperature, and the results were validated with clinical samples from the biobank. A significant difference in ΔProGRP was also noted between good-quality (time delay <4 hours before storage) and poor-quality (time delay ≥4 hours before storage) specimens (mean ± SD, 0.17 ± 0.08 vs 0.36 ± 0.14; P < .001; Wilcoxon signed-rank test). With a ΔProGRP cutoff of 0.22, the sensitivity and specificity of detection of the poor-quality samples were 85.7% and 75.0%, respectively, in clinical validations. We demonstrated that ΔProGRP could be used as a marker for quality control in sample processing and storage in biobanks.
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Pawa N, Arulampalam T, Norton JD. Screening for colorectal cancer: established and emerging modalities. Nat Rev Gastroenterol Hepatol 2011; 8:711-22. [PMID: 22045159 DOI: 10.1038/nrgastro.2011.205] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
It has been estimated that >95% of cases of colorectal cancer (CRC) would benefit from curative surgery if diagnosis was made at an early or premalignant polyp stage of disease. Over the past 10 years, most developed nation states have implemented mass population screening programs, which are typically targeted at the older (at-risk) age group (>50-60 years old). Conventional screening largely relies on periodic patient-centric investigation, particularly involving colonoscopy and flexible sigmoidoscopy, or else on the fecal occult blood test. These methods are compromised by either low cost-effectiveness or limited diagnostic accuracy. Advances in the development of diagnostic molecular markers for CRC have yielded an expanding list of potential new screening modalities based on investigations of patient stool (for colonocyte DNA mutations, epigenetic changes or microRNA expression) or blood specimens (for plasma DNA mutations, epigenetic changes, heteroplasmic mitochondrial DNA mutations, leukocyte transcriptome profile, plasma microRNA expression or protein and autoantibody expression). In this Review, we present a critical evaluation of the performance data and relative merits of these various new potential methods. None of these molecular diagnostic methods have yet been evaluated beyond the proof-of-principle and pilot-scale study stage and it could be some years before they replace existing methods for population screening in CRC.
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Affiliation(s)
- Nikhil Pawa
- Department of Biological Sciences, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
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Bosch LJW, Carvalho B, Fijneman RJA, Jimenez CR, Pinedo HM, van Engeland M, Meijer GA. Molecular tests for colorectal cancer screening. Clin Colorectal Cancer 2011; 10:8-23. [PMID: 21609931 DOI: 10.3816/ccc.2011.n.002] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Detecting and removing high-risk adenomas and early colorectal cancer (CRC) can reduce mortality of this disease. The noninvasive fecal occult blood test (FOBT; guaiac-based or immunochemical) is widely used in screening programs and although effective, it leaves room for improvement in terms of test accuracy. Molecular tests are expected to be more sensitive, specific and informative than current detection tests, and are promising future tools for CRC screening. This review provides an overview of the performances of DNA, RNA, and protein markers for CRC detection in stool and blood. Most emphasis currently is on DNA and protein markers. Among DNA markers there is trend to move away from mutation markers in favor of methylation markers. The recent boost in proteomics research leads to many new candidate protein markers. Usually in small series, some markers show better performance than the present FOBT. Evaluation in large well-controlled randomized trials is the next step needed to take molecular markers for CRC screening to the next level and warrant implementation in a screening setting.
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Affiliation(s)
- Linda J W Bosch
- Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands
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Ueda K, Saichi N, Takami S, Kang D, Toyama A, Daigo Y, Ishikawa N, Kohno N, Tamura K, Shuin T, Nakayama M, Sato TA, Nakamura Y, Nakagawa H. A comprehensive peptidome profiling technology for the identification of early detection biomarkers for lung adenocarcinoma. PLoS One 2011; 6:e18567. [PMID: 21533267 PMCID: PMC3075260 DOI: 10.1371/journal.pone.0018567] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2010] [Accepted: 03/04/2011] [Indexed: 12/19/2022] Open
Abstract
The mass spectrometry-based peptidomics approaches have proven its usefulness in several areas such as the discovery of physiologically active peptides or biomarker candidates derived from various biological fluids including blood and cerebrospinal fluid. However, to identify biomarkers that are reproducible and clinically applicable, development of a novel technology, which enables rapid, sensitive, and quantitative analysis using hundreds of clinical specimens, has been eagerly awaited. Here we report an integrative peptidomic approach for identification of lung cancer-specific serum peptide biomarkers. It is based on the one-step effective enrichment of peptidome fractions (molecular weight of 1,000–5,000) with size exclusion chromatography in combination with the precise label-free quantification analysis of nano-LC/MS/MS data set using Expressionist proteome server platform. We applied this method to 92 serum samples well-managed with our SOP (standard operating procedure) (30 healthy controls and 62 lung adenocarcinoma patients), and quantitatively assessed the detected 3,537 peptide signals. Among them, 118 peptides showed significantly altered serum levels between the control and lung cancer groups (p<0.01 and fold change >5.0). Subsequently we identified peptide sequences by MS/MS analysis and further assessed the reproducibility of Expressionist-based quantification results and their diagnostic powers by MRM-based relative-quantification analysis for 96 independently prepared serum samples and found that APOA4 273–283, FIBA 5–16, and LBN 306–313 should be clinically useful biomarkers for both early detection and tumor staging of lung cancer. Our peptidome profiling technology can provide simple, high-throughput, and reliable quantification of a large number of clinical samples, which is applicable for diverse peptidome-targeting biomarker discoveries using any types of biological specimens.
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Affiliation(s)
- Koji Ueda
- Laboratory for Biomarker Development, Center for Genomic Medicine, RIKEN, Yokohama, Japan
- * E-mail: (KU); (HN)
| | - Naomi Saichi
- Laboratory for Biomarker Development, Center for Genomic Medicine, RIKEN, Yokohama, Japan
| | | | - Daechun Kang
- Laboratory for Biomarker Development, Center for Genomic Medicine, RIKEN, Yokohama, Japan
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Atsuhiko Toyama
- Laboratory for Biomarker Development, Center for Genomic Medicine, RIKEN, Yokohama, Japan
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Shimadzu Corporation, Kyoto, Japan
| | - Yataro Daigo
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Nobuhisa Ishikawa
- Department of Molecular and Internal Medicine, Hiroshima University, Hiroshima, Japan
| | - Nobuoki Kohno
- Department of Molecular and Internal Medicine, Hiroshima University, Hiroshima, Japan
| | - Kenji Tamura
- Department of Urology, Kochi University School of Medicine, Nankoku, Japan
| | - Taro Shuin
- Department of Urology, Kochi University School of Medicine, Nankoku, Japan
| | | | | | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Hidewaki Nakagawa
- Laboratory for Biomarker Development, Center for Genomic Medicine, RIKEN, Yokohama, Japan
- * E-mail: (KU); (HN)
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Tjalsma H. Identification of biomarkers for colorectal cancer through proteomics-based approaches. Expert Rev Proteomics 2011; 7:879-95. [PMID: 21142889 DOI: 10.1586/epr.10.81] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The early detection of colorectal cancer is one of the great challenges in the battle against this disease. However, owing to its heterogeneous character, single markers are not likely to provide sufficient diagnostic power to be used in colorectal cancer population screens. This review provides an overview of recent studies aimed at the discovery of new diagnostic protein markers through proteomics-based approaches. It indicates that studies that start with the proteomic analysis of tumor tissue or tumor cell lines (near the source) have a high potential to yield novel and colorectal cancer-specific biomarkers. In the next step, the diagnostic accuracy of these candidate markers can be assessed by a targeted ELISA assay using serum from colorectal cancer patients and healthy controls. Instead, direct proteomic analysis of serum yields predominantly secondary markers composed of fragments of abundant serum proteins that may be associated with tumor-associated protease activity, and alternatively, immunoproteomic analysis of the serum antibody repertoire provides a valuable tool to identify the molecular imprint of colorectal cancer-associated antigens directly from patient serum samples. The latter approach also allows a relatively easy translation into targeted assays. Eventually, multimarker assays should be developed to reach a diagnostic accuracy that meets the stringent criteria for colorectal cancer screening at the population level.
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Affiliation(s)
- Harold Tjalsma
- Department of Laboratory Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
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17
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Huijbers A, Velstra B, Dekker TJA, Mesker WE, van der Burgt YEM, Mertens BJ, Deelder AM, Tollenaar RAEM. Proteomic serum biomarkers and their potential application in cancer screening programs. Int J Mol Sci 2010; 11:4175-93. [PMID: 21151433 PMCID: PMC3000077 DOI: 10.3390/ijms11114175] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2010] [Revised: 10/16/2010] [Accepted: 10/18/2010] [Indexed: 02/06/2023] Open
Abstract
Early diagnosis of cancer is of pivotal importance to reduce disease-related mortality. There is great need for non-invasive screening methods, yet current screening protocols have limited sensitivity and specificity. The use of serum biomarkers to discriminate cancer patients from healthy persons might be a tool to improve screening programs. Mass spectrometry based proteomics is widely applied as a technology for mapping and identifying peptides and proteins in body fluids. One commonly used approach in proteomics is peptide and protein profiling. Here, we present an overview of profiling methods that have the potential for implementation in a clinical setting and in national screening programs.
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Affiliation(s)
- Anouck Huijbers
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands; E-Mails: (A.H.); (B.V.); (W.E.M.)
| | - Berit Velstra
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands; E-Mails: (A.H.); (B.V.); (W.E.M.)
| | - Tim J. A. Dekker
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands; E-Mails: (A.H.); (B.V.); (W.E.M.)
| | - Wilma E. Mesker
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands; E-Mails: (A.H.); (B.V.); (W.E.M.)
| | - Yuri E. M. van der Burgt
- Department of Parasitology, Biomolecular Mass Spectrometry Unit, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Bart J. Mertens
- Department of Medical Statistics, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - André M. Deelder
- Department of Parasitology, Biomolecular Mass Spectrometry Unit, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Rob A. E. M. Tollenaar
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333 ZA Leiden, The Netherlands; E-Mails: (A.H.); (B.V.); (W.E.M.)
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +317-152-636-10
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Gemoll T, Roblick UJ, Auer G, Jörnvall H, Habermann JK. SELDI-TOF serum proteomics and colorectal cancer: a current overview. Arch Physiol Biochem 2010; 116:188-96. [PMID: 20615064 DOI: 10.3109/13813455.2010.495130] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) is a widely used technology platform for diagnostic biomarker discovery in tissue, plasma and serum. High-throughput and simplicity of experimental procedures have allowed this technology to become an important research tool for biomarker discovery during the last years. This review provides an overview of SELDI-TOF functionality, its advantages and drawbacks and gives a current literature overview of colorectal cancer based serum biomarker detection. Further improvements in instrumentation sensitivity and labelling chemistries will enable detection of novel, tissue-leakage biomarkers in serum. However, major emphasis should be given on subsequent identification of differentially observed protein peaks detected by SELDI-TOF. Clinical validation in large patient cohorts will then allow transferring novel biomarkers into clinical use.
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Affiliation(s)
- Timo Gemoll
- Laboratory for Surgical Research, Department of Surgery, University Clinic Schleswig-Holstein, Campus Lübeck, D-23538 Lübeck, Germany
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19
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Proteomic strategies and challenges in tumor metastasis research. Clin Exp Metastasis 2010; 27:441-51. [PMID: 20607365 DOI: 10.1007/s10585-010-9339-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2010] [Accepted: 06/24/2010] [Indexed: 12/11/2022]
Abstract
The rapidly evolving field of proteomics offers new approaches to understanding the pathogenesis of cancer and metastatic disease. Although numerous tumor markers have been identified with different genomic methods in the past, most are either not specific or sensitive enough to be used in routine clinical setting. The rationale for proteomic profiling is based on the fact that proteins represent the dynamic state of the cells, reflecting pathophysiological changes in the disease more accurately than genomic and epigenetic alterations. Emerging proteomic techniques allow simultaneous assessment of a large number of proteins at one time. The study of protein profiles in complex systems, such as plasma, serum or tissues of cancer patients is likely to become valuable for monitoring the response of patients during treatment or for detecting recurrence of the disease.
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Proteomics in clinical chemistry: will it be long? Trends Biotechnol 2010; 28:225-9. [DOI: 10.1016/j.tibtech.2010.02.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2009] [Revised: 02/11/2010] [Accepted: 02/23/2010] [Indexed: 12/11/2022]
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Liao CCL, Mehta A, Ward NJ, Marsh S, Arulampalam T, Norton JD. Analysis of post-operative changes in serum protein expression profiles from colorectal cancer patients by MALDI-TOF mass spectrometry: a pilot methodological study. World J Surg Oncol 2010; 8:33. [PMID: 20420661 PMCID: PMC2873338 DOI: 10.1186/1477-7819-8-33] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2009] [Accepted: 04/26/2010] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Mass spectrometry-based protein expression profiling of blood sera can be used to discriminate colorectal cancer (CRC) patients from unaffected individuals. In a pilot methodological study, we have evaluated the changes in protein expression profiles of sera from CRC patients that occur following surgery to establish the potential of this approach for monitoring post-surgical response and possible early prediction of disease recurrence. METHODS In this initial pilot study, serum specimens from 11 cancer patients taken immediately prior to surgery and at approximately 6 weeks following surgery were analysed alongside 10 normal control sera by matrix-assisted laser desorption ionisation time of-flight-mass spectrometry (MALDI-TOF MS). Using a two-sided t-test the top 20 ranked protein peaks that discriminate normal from pre-operative sera were identified. These were used to classify post-operative sera by hierarchical clustering analysis (Spearman's Rank correlation) and, as an independent 'test' dataset, by k-nearest neighbour and weighted voting supervised learning algorithms. RESULTS Hierarchical cluster analysis classified post-operative sera from all six early Dukes' stage (A and B) patients as normal. The remaining five post-operative sera from more advanced Dukes' stages (C1 and C2) were classified as cancer. Analysis by supervised learning algorithms similarly grouped all advanced Dukes' stages as cancer, with four of the six post-operative sera from early Dukes' stages being classified as normal (P = 0.045; Fisher's exact test). CONCLUSIONS The results of this pilot methodological study illustrate the proof-of-concept of using protein expression profiling of post-surgical blood sera from individual patients to monitor disease course. Further validation on a larger patient cohort and using an independent post-operative sera dataset would be required to evaluate the potential clinical relevance of this approach. Prospective data, including follow-up on patient survival, could in the future, then be evaluated to inform decisions on individualised treatment modalities.
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Affiliation(s)
- Christopher C L Liao
- Department of Biological Sciences, University of Essex, Wivenhoe Park, Colchester CO43SQ, UK
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Liu M, Li CF, Chen HS, Lin LQ, Zhang CP, Zhao JL, Liu Y, Zhang SJ, Jin JC, Wang L, Liu JR. Differential expression of proteomics models of colorectal cancer, colorectal benign disease and healthy controls. Proteome Sci 2010; 8:16. [PMID: 20334691 PMCID: PMC2862023 DOI: 10.1186/1477-5956-8-16] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2010] [Accepted: 03/25/2010] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is often diagnosed at a late stage with concomitant poor prognosis. The hypersensitive analytical technique of proteomics can detect molecular changes before the tumor is palpable. The surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) is a newly-developed technique of evaluating protein separation in recent years. The protein chips have established the expression of tumor protein in the serum specimens and become the newly discovered markers for tumor diagnosis. The objective of this study was to find new markers of the diagnosis among groups of CRC, colorectal benign diseases (CBD) and healthy controls. The assay of SELDI-TOF-MS with analytical technique of protein-chip bioinformatics was used to detect the expression of protein mass peaks in the sera of patients or controls. One hundred serum samples, including 52 cases of colorectal cancer, 27 cases of colorectal benign disease, and 21 cases of healthy controls, were examined by SELDI-TOF-MS with WCX2 protein-chips. RESULTS The diagnostic models (I, II and III) were setup by analyzed the data and sieved markers using Ciphergen - Protein-Chip-Software 5.1. These models were combined with 3 protein mass peaks to discriminate CRC, CBD, and healthy controls. The accuracy, the sensitivity and the particularity of cross verification of these models are all highly over 80%. CONCLUSIONS The SELDI-TOF-MS is a useful tool to help diagnose colorectal cancer, especially during the early stage. However, identification of the significantly differentiated proteins needs further study.
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Affiliation(s)
- Ming Liu
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Chun-Feng Li
- Department of Abdominal Surgery, the Affiliated Tumor Hospital of Harbin Medical University, Harbin, 150081, PR China
| | - Hong-Sheng Chen
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Luo-Qiang Lin
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Chun-Peng Zhang
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Jin-Lu Zhao
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Yan Liu
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Shu-Jun Zhang
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Jun-Chao Jin
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Lei Wang
- Treatment Center of Oncology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, PR China
| | - Jia-Ren Liu
- Public Health College, Harbin Medical University, Harbin, 150081, PR China.,Current address: Harvard Medical School, 300 Longwood Ave, Boston, MA, USA
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