Literature DB >> 32023884

Revelation of Proteomic Indicators for Colorectal Cancer in Initial Stages of Development.

Arthur T Kopylov1, Alexander A Stepanov1, Kristina A Malsagova1, Deepesh Soni1, Nikolay E Kushlinsky2, Dmitry V Enikeev3, Natalia V Potoldykova3, Andrey V Lisitsa4, Anna L Kaysheva1.   

Abstract

Background: Colorectal cancer (CRC) at a current clinical level is still hardly diagnosed, especially with regard to nascent tumors, which are typically asymptotic. Searching for reliable biomarkers of early diagnosis is an extremely essential task. Identification of specific post-translational modifications (PTM) may also significantly improve net benefits and tailor the process of CRC recognition. We examined depleted plasma samples obtained from 41 healthy volunteers and 28 patients with CRC at different stages to conduct comparative proteome-scaled analysis. The main goal of the study was to establish a constellation of protein markers in combination with their PTMs and semi-quantitative ratios that may support and realize the distinction of CRC until the disease has a poor clinical manifestation.
Results: Proteomic analysis revealed 119 and 166 proteins for patients in stages I-II and III-IV, correspondingly. Plenty of proteins (44 proteins) reflected conditions of the immune response, lipid metabolism, and response to stress, but only a small portion of them were significant (p < 0.01) for distinguishing stages I-II of CRC. Among them, some cytokines (Clusterin (CLU), C4b-binding protein (C4BP), and CD59 glycoprotein (CD59), etc.) were the most prominent and the lectin pathway was specifically enhanced in patients with CRC. Significant alterations in Inter-alpha-trypsin inhibitor heavy chains (ITIH1, ITIH2, ITIH3, and ITIH4) levels were also observed due to their implication in tumor growth and the malignancy process. Other markers (Alpha-1-acid glycoprotein 2 (ORM2), Alpha-1B-glycoprotein (A1BG), Haptoglobin (HP), and Leucine-rich alpha-2-glycoprotein (LRG1), etc.) were found to create an ambiguous core involved in cancer development but also to exactly promote tumor progression in the early stages. Additionally, we identified post-translational modifications, which according to the literature are associated with the development of colorectal cancer, including kininogen 1 protein (T327-p), alpha-2-HS-glycoprotein (S138-p) and newly identified PTMs, i.e., vitamin D-binding protein (K75-ac and K370-ac) and plasma protease C1 inhibitor (Y294-p), which may also contribute and negatively impact on CRC progression. Conclusions: The contribution of cytokines and proteins of the extracellular matrix is the most significant factor in CRC development in the early stages. This can be concluded since tumor growth is tightly associated with chronic aseptic inflammation and concatenated malignancy related to loss of extracellular matrix stability. Due attention should be paid to Apolipoprotein E (APOE), Apolipoprotein C1 (APOC1), and Apolipoprotein B-100 (APOB) because of their impact on the malfunction of DNA repair and their capability to regulate mTOR and PI3K pathways. The contribution of the observed PTMs is still equivocal, but a significant decrease in the likelihood between modified and native proteins was not detected confidently.

Entities:  

Keywords:  colorectal cancer; digital medicine; omics; post-translational modifications; postgenomic data; protein pattern; ultra-high resolution mass spectrometry

Mesh:

Substances:

Year:  2020        PMID: 32023884      PMCID: PMC7036866          DOI: 10.3390/molecules25030619

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  75 in total

1.  Depletion of abundant plasma proteins and limitations of plasma proteomics.

Authors:  Chengjian Tu; Paul A Rudnick; Misti Y Martinez; Kristin L Cheek; Stephen E Stein; Robbert J C Slebos; Daniel C Liebler
Journal:  J Proteome Res       Date:  2010-10-01       Impact factor: 4.466

2.  A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory.

Authors:  Leroy Hood; Mauricio Flores
Journal:  N Biotechnol       Date:  2012-03-18       Impact factor: 5.079

3.  Activation of the coagulation cascade in C1-inhibitor deficiencies.

Authors:  M Cugno; M Cicardi; B Bottasso; R Coppola; R Paonessa; P M Mannucci; A Agostoni
Journal:  Blood       Date:  1997-05-01       Impact factor: 22.113

4.  Apolipoprotein E and colon cancer. Expression in normal and malignant human intestine and effect on cultured human colonic adenocarcinoma cells.

Authors:  Mari Niemi; Tomi Hakkinen; Tuomo J. Karttunen; Sinikka Eskelinen; Kari Kervinen; Markku J. Savolainen; Juhani Lehtola; Jyrki Makela; Seppo Yla-Herttuala; Y Antero Kesaniemi
Journal:  Eur J Intern Med       Date:  2002-02       Impact factor: 4.487

5.  Loss of CD59 expression in breast tumours correlates with poor survival.

Authors:  Z Madjd; S E Pinder; C Paish; I O Ellis; J Carmichael; L G Durrant
Journal:  J Pathol       Date:  2003-08       Impact factor: 7.996

6.  Immune complexome analysis reveals the specific and frequent presence of immune complex antigens in lung cancer patients: A pilot study.

Authors:  Kaname Ohyama; Haruka Yoshimi; Nozomi Aibara; Yoichi Nakamura; Yasuyoshi Miyata; Hideki Sakai; Fumihiko Fujita; Yoshitaka Imaizumi; Anil K Chauhan; Naoya Kishikawa; Naotaka Kuroda
Journal:  Int J Cancer       Date:  2016-10-17       Impact factor: 7.396

7.  Decreased serum apolipoprotein A1 levels are associated with poor survival and systemic inflammatory response in colorectal cancer.

Authors:  Päivi Sirniö; Juha P Väyrynen; Kai Klintrup; Jyrki Mäkelä; Markus J Mäkinen; Tuomo J Karttunen; Anne Tuomisto
Journal:  Sci Rep       Date:  2017-07-14       Impact factor: 4.379

8.  UpSetR: an R package for the visualization of intersecting sets and their properties.

Authors:  Jake R Conway; Alexander Lex; Nils Gehlenborg
Journal:  Bioinformatics       Date:  2017-09-15       Impact factor: 6.937

9.  Plasma Inter-Alpha-Trypsin Inhibitor Heavy Chains H3 and H4 Serve as Novel Diagnostic Biomarkers in Human Colorectal Cancer.

Authors:  Xiao Jiang; Xiao-Yan Bai; Bowen Li; Yanan Li; Kangkai Xia; Miao Wang; Shujing Li; Huijian Wu
Journal:  Dis Markers       Date:  2019-07-31       Impact factor: 3.434

Review 10.  Iron Metabolism in Cancer.

Authors:  Yafang Wang; Lei Yu; Jian Ding; Yi Chen
Journal:  Int J Mol Sci       Date:  2018-12-27       Impact factor: 5.923

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  10 in total

1.  Super Secondary Structures of Proteins with Post-Translational Modifications in Colon Cancer.

Authors:  Dmitry Tikhonov; Liudmila Kulikova; Arthur Kopylov; Kristina Malsagova; Alexander Stepanov; Vladimir Rudnev; Anna Kaysheva
Journal:  Molecules       Date:  2020-07-09       Impact factor: 4.411

Review 2.  "Complimenting the Complement": Mechanistic Insights and Opportunities for Therapeutics in Hepatocellular Carcinoma.

Authors:  Astha Malik; Unmesha Thanekar; Surya Amarachintha; Reena Mourya; Shreya Nalluri; Alexander Bondoc; Pranavkumar Shivakumar
Journal:  Front Oncol       Date:  2021-02-24       Impact factor: 5.738

Review 3.  Research Progress on Leucine-Rich Alpha-2 Glycoprotein 1: A Review.

Authors:  Yonghui Zou; Yi Xu; Xiaofeng Chen; Yaoqi Wu; Longsheng Fu; Yanni Lv
Journal:  Front Pharmacol       Date:  2022-01-05       Impact factor: 5.810

4.  Proteomic Analysis Identifies FNDC1, A1BG, and Antigen Processing Proteins Associated with Tumor Heterogeneity and Malignancy in a Canine Model of Breast Cancer.

Authors:  Yonara G Cordeiro; Leandra M Mulder; René J M van Zeijl; Lindsay B Paskoski; Peter van Veelen; Arnoud de Ru; Ricardo F Strefezzi; Bram Heijs; Heidge Fukumasu
Journal:  Cancers (Basel)       Date:  2021-11-24       Impact factor: 6.639

5.  Identification of potential core genes in colorectal carcinoma and key genes in colorectal cancer liver metastasis using bioinformatics analysis.

Authors:  Lipeng Niu; Ce Gao; Yang Li
Journal:  Sci Rep       Date:  2021-12-14       Impact factor: 4.379

6.  Construction of a Colorectal Cancer Prognostic Risk Model and Screening of Prognostic Risk Genes Using Machine-Learning Algorithms.

Authors:  Xuezhi Du; Han Qi; Wenbin Ji; Peiyuan Li; Run Hua; Wenliang Hu; Feng Qi
Journal:  Comput Math Methods Med       Date:  2022-10-11       Impact factor: 2.809

7.  Construction of 2DE Patterns of Plasma Proteins: Aspect of Potential Tumor Markers.

Authors:  Stanislav Naryzhny; Natalia Ronzhina; Elena Zorina; Fedor Kabachenko; Nikolay Klopov; Victor Zgoda
Journal:  Int J Mol Sci       Date:  2022-09-21       Impact factor: 6.208

Review 8.  Apolipoprotein: prospective biomarkers in digestive tract cancer.

Authors:  Yibo Zhang; Lu Zheng
Journal:  Transl Cancer Res       Date:  2020-05       Impact factor: 1.241

9.  Quantitative proteomic analysis of GnRH agonist treated GBM cell line LN229 revealed regulatory proteins inhibiting cancer cell proliferation.

Authors:  Priyanka H Tripathi; Javed Akhtar; Jyoti Arora; Ravindra Kumar Saran; Neetu Mishra; Ravindra Varma Polisetty; Ravi Sirdeshmukh; Poonam Gautam
Journal:  BMC Cancer       Date:  2022-02-02       Impact factor: 4.430

Review 10.  Advances in High Throughput Proteomics Profiling in Establishing Potential Biomarkers for Gastrointestinal Cancer.

Authors:  Md Zahirul Islam Khan; Shing Yau Tam; Helen Ka Wai Law
Journal:  Cells       Date:  2022-03-11       Impact factor: 6.600

  10 in total

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