CN109752546B - Application of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary vitreous nodule - Google Patents
Application of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary vitreous nodule Download PDFInfo
- Publication number
- CN109752546B CN109752546B CN201711070938.0A CN201711070938A CN109752546B CN 109752546 B CN109752546 B CN 109752546B CN 201711070938 A CN201711070938 A CN 201711070938A CN 109752546 B CN109752546 B CN 109752546B
- Authority
- CN
- China
- Prior art keywords
- igg
- sugar chain
- sugar chains
- acetylglucosamine
- pulmonary
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 210000002966 serum Anatomy 0.000 title claims abstract description 52
- 230000002685 pulmonary effect Effects 0.000 title claims abstract description 38
- 230000004048 modification Effects 0.000 title abstract description 13
- 238000012986 modification Methods 0.000 title abstract description 13
- 229940027941 immunoglobulin g Drugs 0.000 title abstract description 8
- 238000013399 early diagnosis Methods 0.000 title abstract description 7
- 229950006780 n-acetylglucosamine Drugs 0.000 claims abstract description 34
- OVRNDRQMDRJTHS-FMDGEEDCSA-N N-acetyl-beta-D-glucosamine Chemical compound CC(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O OVRNDRQMDRJTHS-FMDGEEDCSA-N 0.000 claims abstract description 32
- WQZGKKKJIJFFOK-QTVWNMPRSA-N D-mannopyranose Chemical compound OC[C@H]1OC(O)[C@@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-QTVWNMPRSA-N 0.000 claims abstract description 18
- SHZGCJCMOBCMKK-UHFFFAOYSA-N D-mannomethylose Natural products CC1OC(O)C(O)C(O)C1O SHZGCJCMOBCMKK-UHFFFAOYSA-N 0.000 claims abstract description 17
- PNNNRSAQSRJVSB-SLPGGIOYSA-N Fucose Natural products C[C@H](O)[C@@H](O)[C@H](O)[C@H](O)C=O PNNNRSAQSRJVSB-SLPGGIOYSA-N 0.000 claims abstract description 17
- SHZGCJCMOBCMKK-DHVFOXMCSA-N L-fucopyranose Chemical compound C[C@@H]1OC(O)[C@@H](O)[C@H](O)[C@@H]1O SHZGCJCMOBCMKK-DHVFOXMCSA-N 0.000 claims abstract description 17
- 239000000090 biomarker Substances 0.000 claims abstract description 13
- 238000012216 screening Methods 0.000 claims abstract description 9
- 108090001090 Lectins Proteins 0.000 claims description 62
- 102000004856 Lectins Human genes 0.000 claims description 62
- 239000002523 lectin Substances 0.000 claims description 62
- 239000003153 chemical reaction reagent Substances 0.000 claims description 41
- 210000004072 lung Anatomy 0.000 claims description 17
- 239000005337 ground glass Substances 0.000 claims description 13
- 101710186708 Agglutinin Proteins 0.000 claims description 11
- 101710146024 Horcolin Proteins 0.000 claims description 11
- 101710189395 Lectin Proteins 0.000 claims description 11
- 101710179758 Mannose-specific lectin Proteins 0.000 claims description 11
- 101710150763 Mannose-specific lectin 1 Proteins 0.000 claims description 11
- 101710150745 Mannose-specific lectin 2 Proteins 0.000 claims description 11
- 239000000910 agglutinin Substances 0.000 claims description 11
- 238000002360 preparation method Methods 0.000 claims description 9
- 238000009007 Diagnostic Kit Methods 0.000 claims description 7
- 241000234271 Galanthus Species 0.000 claims description 4
- 235000008995 european elder Nutrition 0.000 claims description 4
- 241000208829 Sambucus Species 0.000 claims description 3
- 235000018735 Sambucus canadensis Nutrition 0.000 claims description 3
- 235000007123 blue elder Nutrition 0.000 claims description 3
- 235000007124 elderberry Nutrition 0.000 claims description 3
- 240000003271 Leonurus japonicus Species 0.000 claims 1
- DUKURNFHYQXCJG-UHFFFAOYSA-N Lewis A pentasaccharide Natural products OC1C(O)C(O)C(C)OC1OC1C(OC2C(C(O)C(O)C(CO)O2)O)C(NC(C)=O)C(OC2C(C(OC3C(OC(O)C(O)C3O)CO)OC(CO)C2O)O)OC1CO DUKURNFHYQXCJG-UHFFFAOYSA-N 0.000 claims 1
- 230000004520 agglutination Effects 0.000 claims 1
- 239000000104 diagnostic biomarker Substances 0.000 claims 1
- 206010028980 Neoplasm Diseases 0.000 abstract description 25
- 201000011510 cancer Diseases 0.000 abstract description 19
- 238000003745 diagnosis Methods 0.000 abstract description 16
- 230000036210 malignancy Effects 0.000 abstract description 13
- 238000011160 research Methods 0.000 abstract description 10
- 238000003384 imaging method Methods 0.000 abstract description 5
- 230000035945 sensitivity Effects 0.000 abstract description 3
- 102100029018 Gametogenetin Human genes 0.000 description 69
- 239000000523 sample Substances 0.000 description 33
- 238000000034 method Methods 0.000 description 21
- 239000011521 glass Substances 0.000 description 18
- 108020003175 receptors Proteins 0.000 description 15
- 102000005962 receptors Human genes 0.000 description 15
- 206010058467 Lung neoplasm malignant Diseases 0.000 description 13
- 201000005202 lung cancer Diseases 0.000 description 13
- 208000020816 lung neoplasm Diseases 0.000 description 13
- 238000010606 normalization Methods 0.000 description 13
- 238000001514 detection method Methods 0.000 description 12
- OVRNDRQMDRJTHS-UHFFFAOYSA-N N-acelyl-D-glucosamine Natural products CC(=O)NC1C(O)OC(CO)C(O)C1O OVRNDRQMDRJTHS-UHFFFAOYSA-N 0.000 description 11
- MBLBDJOUHNCFQT-LXGUWJNJSA-N N-acetylglucosamine Natural products CC(=O)N[C@@H](C=O)[C@@H](O)[C@H](O)[C@H](O)CO MBLBDJOUHNCFQT-LXGUWJNJSA-N 0.000 description 11
- 102000004169 proteins and genes Human genes 0.000 description 11
- 108090000623 proteins and genes Proteins 0.000 description 11
- 238000004458 analytical method Methods 0.000 description 9
- 230000013595 glycosylation Effects 0.000 description 9
- 238000006206 glycosylation reaction Methods 0.000 description 8
- 230000001900 immune effect Effects 0.000 description 7
- 208000009956 adenocarcinoma Diseases 0.000 description 6
- 238000012549 training Methods 0.000 description 6
- 238000012795 verification Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 230000001575 pathological effect Effects 0.000 description 5
- 102100026120 IgG receptor FcRn large subunit p51 Human genes 0.000 description 4
- 239000000427 antigen Substances 0.000 description 4
- 102000036639 antigens Human genes 0.000 description 4
- 108091007433 antigens Proteins 0.000 description 4
- 238000013211 curve analysis Methods 0.000 description 4
- 201000010099 disease Diseases 0.000 description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 4
- 238000009826 distribution Methods 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 4
- 239000005338 frosted glass Substances 0.000 description 4
- 108091000699 pea lectin Proteins 0.000 description 4
- 108090000765 processed proteins & peptides Proteins 0.000 description 4
- 208000002109 Argyria Diseases 0.000 description 3
- 108010077544 Chromatin Proteins 0.000 description 3
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 3
- OVRNDRQMDRJTHS-RTRLPJTCSA-N N-acetyl-D-glucosamine Chemical compound CC(=O)N[C@H]1C(O)O[C@H](CO)[C@@H](O)[C@@H]1O OVRNDRQMDRJTHS-RTRLPJTCSA-N 0.000 description 3
- 210000003483 chromatin Anatomy 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000004069 differentiation Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 229920001542 oligosaccharide Polymers 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 102000004196 processed proteins & peptides Human genes 0.000 description 3
- 238000011477 surgical intervention Methods 0.000 description 3
- 102000005427 Asialoglycoprotein Receptor Human genes 0.000 description 2
- 206010006187 Breast cancer Diseases 0.000 description 2
- 208000026310 Breast neoplasm Diseases 0.000 description 2
- 108090000288 Glycoproteins Proteins 0.000 description 2
- 102000003886 Glycoproteins Human genes 0.000 description 2
- 101710177940 IgG receptor FcRn large subunit p51 Proteins 0.000 description 2
- 206010061218 Inflammation Diseases 0.000 description 2
- 241001514662 Leptospermum Species 0.000 description 2
- 241000219743 Lotus Species 0.000 description 2
- 208000019693 Lung disease Diseases 0.000 description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 2
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 2
- 208000005718 Stomach Neoplasms Diseases 0.000 description 2
- 101710120037 Toxin CcdB Proteins 0.000 description 2
- 108010006523 asialoglycoprotein receptor Proteins 0.000 description 2
- 210000004027 cell Anatomy 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000029578 entry into host Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 239000007850 fluorescent dye Substances 0.000 description 2
- 206010017758 gastric cancer Diseases 0.000 description 2
- 206010020718 hyperplasia Diseases 0.000 description 2
- 238000011065 in-situ storage Methods 0.000 description 2
- 230000004054 inflammatory process Effects 0.000 description 2
- 230000003211 malignant effect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 108010068617 neonatal Fc receptor Proteins 0.000 description 2
- 150000002482 oligosaccharides Chemical class 0.000 description 2
- 239000013641 positive control Substances 0.000 description 2
- 238000012552 review Methods 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 201000011549 stomach cancer Diseases 0.000 description 2
- 238000001356 surgical procedure Methods 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- 206010065687 Bone loss Diseases 0.000 description 1
- 108010078043 Complement C1q Proteins 0.000 description 1
- 102000014447 Complement C1q Human genes 0.000 description 1
- 102000004190 Enzymes Human genes 0.000 description 1
- 108090000790 Enzymes Proteins 0.000 description 1
- KSMMWIWWLQEPOL-UHFFFAOYSA-N Eupalmerin acetate Natural products CC(=O)OC1C(C)CCCC(C)=CCCC2(C)OC2CC2C(=C)C(=O)OC21 KSMMWIWWLQEPOL-UHFFFAOYSA-N 0.000 description 1
- 108010087819 Fc receptors Proteins 0.000 description 1
- 102000009109 Fc receptors Human genes 0.000 description 1
- 206010016654 Fibrosis Diseases 0.000 description 1
- 206010018691 Granuloma Diseases 0.000 description 1
- 102000018071 Immunoglobulin Fc Fragments Human genes 0.000 description 1
- 108010091135 Immunoglobulin Fc Fragments Proteins 0.000 description 1
- 241001480167 Lotus japonicus Species 0.000 description 1
- 108010031099 Mannose Receptor Proteins 0.000 description 1
- 206010027476 Metastases Diseases 0.000 description 1
- -1 N-acetyl oligosaccharide Chemical class 0.000 description 1
- 230000004988 N-glycosylation Effects 0.000 description 1
- 206010033128 Ovarian cancer Diseases 0.000 description 1
- 206010061535 Ovarian neoplasm Diseases 0.000 description 1
- 206010056342 Pulmonary mass Diseases 0.000 description 1
- 108020004511 Recombinant DNA Proteins 0.000 description 1
- 240000004808 Saccharomyces cerevisiae Species 0.000 description 1
- 240000006028 Sambucus nigra Species 0.000 description 1
- 235000003142 Sambucus nigra Nutrition 0.000 description 1
- 241001050737 Sambucus williamsii Species 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- 230000001594 aberrant effect Effects 0.000 description 1
- 230000001093 anti-cancer Effects 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 238000003705 background correction Methods 0.000 description 1
- 239000011324 bead Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- SQVRNKJHWKZAKO-UHFFFAOYSA-N beta-N-Acetyl-D-neuraminic acid Natural products CC(=O)NC1C(O)CC(O)(C(O)=O)OC1C(O)C(O)CO SQVRNKJHWKZAKO-UHFFFAOYSA-N 0.000 description 1
- 238000005842 biochemical reaction Methods 0.000 description 1
- 230000004071 biological effect Effects 0.000 description 1
- 230000008827 biological function Effects 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 231100000504 carcinogenesis Toxicity 0.000 description 1
- 238000004113 cell culture Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 210000000038 chest Anatomy 0.000 description 1
- 238000004587 chromatography analysis Methods 0.000 description 1
- 238000013170 computed tomography imaging Methods 0.000 description 1
- 238000013501 data transformation Methods 0.000 description 1
- 239000012636 effector Substances 0.000 description 1
- 239000003480 eluent Substances 0.000 description 1
- 150000002148 esters Chemical class 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 238000010195 expression analysis Methods 0.000 description 1
- 230000004761 fibrosis Effects 0.000 description 1
- 210000000987 immune system Anatomy 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 238000009169 immunotherapy Methods 0.000 description 1
- 239000007943 implant Substances 0.000 description 1
- 230000028709 inflammatory response Effects 0.000 description 1
- 239000003112 inhibitor Substances 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000001972 liquid chromatography-electrospray ionisation mass spectrometry Methods 0.000 description 1
- 210000004185 liver Anatomy 0.000 description 1
- 201000007270 liver cancer Diseases 0.000 description 1
- 208000014018 liver neoplasm Diseases 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 201000003453 lung abscess Diseases 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 230000009401 metastasis Effects 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000010369 molecular cloning Methods 0.000 description 1
- 208000002154 non-small cell lung carcinoma Diseases 0.000 description 1
- 201000008482 osteoarthritis Diseases 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000035479 physiological effects, processes and functions Effects 0.000 description 1
- 229920001184 polypeptide Polymers 0.000 description 1
- 230000004481 post-translational protein modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000005664 protein glycosylation in endoplasmic reticulum Effects 0.000 description 1
- 238000000746 purification Methods 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000000405 serological effect Effects 0.000 description 1
- SQVRNKJHWKZAKO-OQPLDHBCSA-N sialic acid Chemical compound CC(=O)N[C@@H]1[C@@H](O)C[C@@](O)(C(O)=O)OC1[C@H](O)[C@H](O)CO SQVRNKJHWKZAKO-OQPLDHBCSA-N 0.000 description 1
- 230000009450 sialylation Effects 0.000 description 1
- 108010076805 snowdrop lectin Proteins 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000007447 staining method Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 238000002560 therapeutic procedure Methods 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 239000000439 tumor marker Substances 0.000 description 1
- 208000029729 tumor suppressor gene on chromosome 11 Diseases 0.000 description 1
Images
Landscapes
- Investigating Or Analysing Biological Materials (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention relates to the field of biotechnology, in particular to application of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary vitreous nodules. The invention, through extensive and intensive research, finds that: the combination of IgG high mannose type sugar chains, IgG poly-N-acetylglucosamine type sugar chains, IgG core fucose type sugar chains and IgG alpha 2, 6-sialyl sugar chains is used as a serum biomarker to assist the existing imaging CT examination, so that the sensitivity and specificity of screening high-risk invasive GGN patients can be improved, the diagnosis accuracy of the existing invasive GGN patients with higher malignancy can be improved, and the clinical over-treatment of non-invasive GGN patients is avoided.
Description
Technical Field
The invention relates to the field of biotechnology, in particular to application of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary vitreous nodules.
Background
Lung cancer is one of the most prevalent malignancies with the second highest incidence and mortality among all cancers (Siegel R L, Miller K D, Jemal A. cancer statistics,2017. CACACACANCER J Clin.2017; 67(1): 7-30.). According to the latest statistics of Chinese tumor patients, lung cancer is also the most common malignant tumor in China and is the leading cause of cancer death (Chen W, Zheng R, Baade PD, et al. cancer statistics in China,2015. CACACACACancer J Clin.2016; 66(2): 115-32.). Most patients are diagnosed with lung cancer already in the middle and late stages of lung cancer, missing the most effective treatment opportunity. The early detection rate of the lung cancer is improved, intervention treatment is carried out in time, and the survival rate of the lung cancer patient can be greatly improved. Early lung cancer often manifests as pulmonary nodules, which are classified into pure Ground-glass nodules (pGGN), mixed Ground-glass nodules (mGGN), and solid nodules (solid nodules) based on differences in nodule density. In recent five years, Lung GGN detection rates have seen a explosive growth trend, predominantly in female patients, and more frequently in Multiple GGN patients (Yang H, Sun Y, Yao F, et al. surgical Therapy for double Multiple Primary surgery cancer. Ann third surgery. 2016; 101(3):1145-52 Zuin A, Andrio LG, Marulli G, et al. being a segmented reaction breast cancer in the segmented Primary Lung cancer cell repair. 2013; 44(2): e 120-5).
According to histopathological classification, GGNs can be classified into benign lung diseases (benign pulmonary diseases, such as local interstitial fibrosis, inflammation, granuloma, lung abscess, and tuberculoid, etc.), Atypical Adenomatous Hyperplasias (AAH), Adenocarcinomas In Situ (AIS), microaneurysmic adenocarcinomas (MIA), and Invasive Adenocarcinomas (IA). The first three are non-invasive GGNs with lower malignancy, the second two are invasive GGNs with higher malignancy, and surgical intervention is required in time. However, the CT imaging technology most widely used in clinical screening of lung cancer, conventional blood index and tumor marker index, etc. can not distinguish the malignancy of GGN (especially GGN less than or equal to 10 mm), and can not accurately judge and predict the growth condition of GGN because the growth condition of GGN has no obvious rule (Cho J, Kim ES, Kim SJ, Lee YJ, Park JS, Cho YJ, et al, Long-Term Follow-up of Small Pulmony group-Glass Nodules Stable stage for 3Years: implants of the present clinical practice of the above patients with good Follow-up Period and Risk Factors for Subsequent of the third clinical practice of the fourth clinical practice of GGN, and the patient with strong color and low subjective Risk of the second clinical practice of the fourth clinical practice of the fourth general of the fourth clinical practice of the fourth of the fifth of the fourth of the third of the fourth of the third of the fourth of the third of the fourth of the fifth of the fourth of the fifth of the fourth of the fifth of the fourth of the fifth of the fourth of the fifth of the fourth of the fifth of the fourth of the fifth of the, park C M, Lee H J.group-glass nodules on chest CT as imaging biomarkers in the management of long adonociceps.American Journal of Roentgenology,2011,196(3): 533-. Therefore, the method finds noninvasive serological indexes which can reflect the pathological malignancy degree of the GGN patients, have high sensitivity, good specificity and simple and convenient operation, assists the existing imaging examination means to screen out high-risk invasive GGN patients to perform surgical intervention as early as possible, is key to improve the early diagnosis rate of lung cancer and the life quality of the lung cancer patients, and has important clinical significance.
Glycosylation is an important post-translational modification of proteins and is widely involved in various processes of cellular life activities. Sugar chains have the property of characterizing the signal of the terminal of vital activity, and thus, the microheterogeneity of glycoproteins and sugar chains thereon has become an important window for monitoring the development of diseases. Changes in protein glycosylation are closely related to the immune state of the body, and immune evaluation and immunotherapy have become a new window and a new research hotspot for early diagnosis and disease monitoring of tumors. Studies have shown that inflammatory responses involving the immune system play an important role in the development, progression and metastasis of tumors (Grvennikov S I, Greten F R, Karin M. immunity, inflammation, and cancer. cell,2010,140(6): 883-. Immunoglobulin g (igg) is the most abundant antibody in serum and is a glycoprotein. The Asn297 position of IgG contains at least 2 conserved N-glycosylation sites, and the sugar chain in this position is important for the biological activity and biological function of IgG molecule, e.g., the N-sugar chain in its Fc fragment can exert the effector function of antibody by binding to Fc receptor or complement C1q (Shinkawa T, Nakamura K, Yamane N, Shoji-Hosaka E, Kanda Y, Sakurad M, the expression of the antibody of the mutant peptide of the expression of microorganism or bioscience N-acetyl oligosaccharide of human IgG1 lex-type oligosaccharide peptides of the molecular family of biochemical reactions of the recombinant enzyme of the expression of biological specificity. 2005-biochemical binding of the biological specificity of the biological receptor of the biological antigen J. 73., Zgene of biological receptor of the biological antibody of the biological specificity of the biological receptor of the biological antigen J.3. Z400. Zgene of the biological specificity of the biological antibody of the biological receptor of the biological specificity of the biological receptor of the biological antigen of the biological receptor of the biological antigen J.3. Zn.3. the antibody of the biological receptor of the biological antibody of the biological specificity of the biological receptor of the biological receptor of the biological receptor of the biological receptor of the biological receptor of the biological receptor of the biological of the, and alter the serum half-life of the antibody by binding to the neonatal Fc receptor (FcRn) (roparian DC, Akilesh S.FcRn: the neonatal Fc receptor coms of age. Nature reviews Immunology 2007; 7:715-25.), the asialoglycoprotein receptor (Stockert RJ. the asialoglycoprotein receptor: translation shift between structures, function, and expression. physiological reviews 1995; 75:591-609.) and the mannose receptor (Stahl PD. the neonatal receptor monoclonal expression in Immunology 1992; 4: 49-52.). Aberrant glycosylation modification of IgG is closely associated with the development of many diseases, especially tumors, such as: osteoarthritis (Harre U, Lang SC, Pfeife R, Rombouts Y, Fruhbesser S, Amara K, et al. Glycosylation of immunological G inhibitors differentiation and bone loss. Nature communication 2015; 6:6651.), Ovarian Cancer (Ruhaak LR, et al. protein-Specific Differential Glycosylation of immunological proteins in Serum of protein research; 15:1002-10. haak LR, et al. protein-Specific differentiation of immunological analysis of immunological protein of Serum of protein research; 15:1002-10. yeast LR, et al. protein-Specific differentiation of immunological analysis of physiological protein of Serum of protein research 2016; J. Zybolt, J. Zymology, J. expression of immunological analysis of protein, J.S.S.S. -free controls, biochemical and biological research communications 2016; 469:1140-5.Kyselova Z, et al, Breast cancer Diagnosis and physiology qualitative measures of serum glycerol profiles clinical chemistry 2008; 1166-75, Abd Hamid UM, et al.A. linear to secondary potential markers from a server polypeptides associated with a branched cancer protocol 2008; 1105-18.), liver cancer (Yi C H WHL, Zhou F G, et al, elongated core-fused IgG is a new marker for liver B viruses-related hepatocellular receptors 2015; 2015,4(12): e1011503.), Gastric cancer (Ruhaak LR, Barkauskas DA, Torres J, Cooke CL, Wu LD, Stroble C, et al. the Serum immunological tissue G Glycosylation Signature of Gastric cancer. EuPA open proteins 2015; 1-9.Kodar K, et al, immunoglobulin G Fc N-glycan profiling in substrates with structural cancer by LC-ESI-MS, translation to molecular progression and overview. Glycoconjugate outlet 2012; 57-66.) and lung cancer (Kanoh Y, et al, relationship shift between N-linked oligosaccharide peptides of human serum immunoglobulin G and serum tumor markers with non-small cell lung cancer, anticancer research 2006; 26:4293-7.), and the like. However, the correlation between the glycosylation change of serum IgG and the benign and malignant lung nodules at early stage is not reported.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention aims to provide the use of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary frosting nodules, for solving the problems of the prior art.
To achieve the above and other related objects, the present invention provides, in a first aspect, the use of a combination of an IgG high mannose-type sugar chain, an IgG poly-N-acetylglucosamine-type sugar chain, an IgG core fucose-type sugar chain and an IgG α 2, 6-sialyl sugar chain for the preparation or screening of a diagnostic reagent for pulmonary frosting of nodules.
The IgG high mannose-type sugar chain, IgG poly-N-acetylglucosamine sugar chain, IgG core fucose-type sugar chain and IgG alpha 2, 6-sialyl sugar chain of the present invention are all located on IgG.
Specifically, the method comprises the following steps:
the IgG high-mannose sugar chain of the present invention is located on IgG and is formed by high-mannose modification of IgG.
The IgG poly-N-acetylglucosamine sugar chain of the present invention is located on the IgG and is formed by modifying the IgG with poly-N-acetylglucosamine sugar.
The IgG core fucose-type sugar chain of the present invention is located on IgG and is formed by modifying IgG with core fucose.
The IgG alpha 2, 6-sialyl sugar chain of the present invention is located on IgG and is formed by modification of IgG with alpha 2, 6-sialyl sugar.
Further, the lung milled glass nodule diagnostic reagent is a lung pure milled glass nodule diagnostic reagent.
Further, the lung milled glass nodule diagnostic reagent is an invasive lung pure milled glass nodule diagnostic reagent.
Further, the IgG high mannose-type sugar chain, the IgG poly-N-acetylglucosamine sugar chain, the IgG core fucose-type sugar chain, and the IgG alpha 2, 6-sialylsugar chain are used in combination as a biomarker.
Further, the combination of the IgG high mannose-type sugar chain, the IgG poly N-acetylglucosamine sugar chain, the IgG core fucose-type sugar chain and the IgG alpha 2, 6-sialyl sugar chain serves as a serum biomarker.
Further, the combination of IgG high mannose type sugar chain, IgG poly N-acetylglucosamine type sugar chain, IgG core fucose type sugar chain and IgG alpha 2, 6-sialyl sugar chain is used for preparing or screening diagnostic reagent for lung frosted nodule, including two aspects:
first, the joint use of an IgG high mannose-type sugar chain, an IgG poly-N-acetylglucosamine sugar chain, an IgG core fucose-type sugar chain, and an IgG alpha 2, 6-sialyl sugar chain for the preparation of a diagnostic reagent for a pulmonary milled glass nodule means that the joint use of an IgG high mannose-type sugar chain, an IgG poly-N-acetylglucosamine sugar chain, an IgG core fucose-type sugar chain, and an alpha 2, 6-sialyl sugar chain for the preparation of a diagnostic reagent for a pulmonary milled glass nodule as a diagnostic index for a pulmonary milled glass nodule. In some embodiments, the combination of an IgG high mannose-type sugar chain, an IgG poly N-acetylglucosamine sugar chain, an IgG core fucose-type sugar chain, and an IgG α 2, 6-sialylsugar chain can be used as a standard or a positive control for measuring the content of the IgG high mannose-type sugar chain, the IgG poly N-acetylglucosamine sugar chain, the IgG core fucose-type sugar chain, and the IgG α 2, 6-sialylsugar chain in the serum of a sample. Alternatively, IgG containing a high mannose-type sugar chain, IgG containing a poly-N-acetylglucosamine sugar chain, IgG containing a core fucose-type sugar chain, and IgG containing an α 2, 6-sialylsugar chain may be used in combination as a standard or a positive control.
Second, the diagnostic reagent for pulmonary frosting nodules, in which an IgG high mannose-type sugar chain, an IgG poly-N-acetylglucosamine-type sugar chain, an IgG core fucose-type sugar chain, and an α 2, 6-sialylsugar chain are used in combination, is a diagnostic reagent for pulmonary frosting nodules, in which an IgG high mannose-type sugar chain, an IgG poly-N-acetylglucosamine-type sugar chain, an IgG core fucose-type sugar chain, and an IgG α 2, 6-sialylsugar chain are used in combination as recognition targets for pulmonary frosting nodules, and the reagents are screened for specifically recognizing these four sugar chains.
In some embodiments, based on the IgG high mannose type sugar chain, IgG poly N-acetylglucosamine type sugar chain, IgG core fucose type sugar chain, and IgG alpha 2, 6-sialylsugar type sugar chain, lectins that specifically recognize these four sugar chains, respectively, are screened for use as a lung frosting nodule diagnostic reagent.
The IgG is of human origin.
In a second aspect of the present invention, there is provided use of a reagent that specifically recognizes an IgG high mannose-type sugar chain, an IgG poly N-acetylglucosamine sugar chain, an IgG core fucose-type sugar chain, and an IgG α 2, 6-sialylsugar chain in the preparation of a diagnostic kit for pulmonary frosting of nodules.
Further, the lung milled glass nodule diagnostic reagent is a lung pure milled glass nodule diagnostic reagent.
Further, the lung milled glass nodule diagnostic reagent is an invasive lung pure milled glass nodule diagnostic reagent.
Further, IgG high mannose-type sugar chains, IgG poly-N-acetylglucosamine sugar chains, IgG core fucose-type sugar chains, and IgG α 2, 6-sialyl sugar chains are used in combination as a biomarker.
Further, IgG high mannose-type sugar chains, IgG poly-N-acetylglucosamine sugar chains, IgG core fucose-type sugar chains, and IgG α 2, 6-sialyl sugar chains are used in combination as serum biomarkers.
In some embodiments, based on the IgG high mannose-type sugar chain, IgG poly N-acetylglucosamine sugar chain, IgG core fucose-type sugar chain, and IgG alpha 2, 6-sialylsugar chain, lectins that specifically recognize these four sugar chains, respectively, can be used as a diagnostic reagent for pulmonary vitreous nodule.
Further, the reagent specifically recognizing IgG high mannose type sugar chain may be galanthus agglutinin GNA.
The reagent specifically recognizing IgG poly N-acetylglucosamine sugar chain may be Leptospermum heterophyllum agglutinin LTL.
The reagent specifically recognizing the IgG core fucose-type sugar chain may be pea lectin PSA.
The agent specifically recognizing the α 2, 6-sialyl sugar chain may be elderberry lectin SNA.
The IgG is of human origin.
In a third aspect of the present invention, there is provided a diagnostic kit for pulmonary frosting of nodules, the kit comprising at least a reagent that specifically recognizes an IgG high mannose-type sugar chain, an IgG poly N-acetylglucosamine sugar chain, an IgG core fucose-type sugar chain, and an IgG α 2, 6-sialylsugar chain.
Furthermore, the diagnostic kit for the pulmonary frosted glass nodules is a diagnostic kit for the pulmonary pure frosted glass nodules.
Further, the diagnostic kit for the pulmonary frosted glass nodules is a diagnostic kit for invasive pulmonary pure frosted glass nodules.
In some embodiments, based on the IgG high mannose-type sugar chain, IgG poly N-acetylglucosamine sugar chain, IgG core fucose-type sugar chain, and IgG alpha 2, 6-sialylsugar chain, lectins that specifically recognize these four sugar chains, respectively, can be used as a diagnostic reagent for pulmonary vitreous nodule.
Further, the reagent specifically recognizing IgG high mannose type sugar chain may be galanthus agglutinin GNA.
The reagent specifically recognizing IgG poly N-acetylglucosamine sugar chain may be Leptospermum heterophyllum agglutinin LTL.
The reagent specifically recognizing the IgG core fucose-type sugar chain may be pea lectin PSA.
The agent specifically recognizing the α 2, 6-sialyl sugar chain may be elderberry lectin SNA.
The IgG is of human origin.
In a fourth aspect of the present invention, there is provided a use of a combination of an IgG high mannose-type sugar chain, an IgG poly-N-acetylglucosamine sugar chain, an IgG core fucose-type sugar chain and an IgG α 2, 6-sialylsugar chain as a biomarker for diagnosing a pulmonary vitreous nodule.
Further, the biomarker is a serum biomarker.
Further, the pulmonary vitreous nodules are pulmonary pure vitreous nodules.
Further, the lung milled glass nodules are invasive lung pure milled glass nodules.
The IgG is of human origin.
In a fifth aspect of the present invention, there is provided a method for diagnosing pulmonary vitreous nodules, comprising the steps of: the levels of IgG high mannose type sugar chains, IgG poly-N-acetylglucosamine type sugar chains, IgG core fucose type sugar chains, and IgG alpha 2, 6-sialyl sugar chains in the serum of the sample were measured.
Further, the method further comprises performing an imaging CT examination on the patient corresponding to the sample serum.
Further, the pulmonary vitreous nodules are pulmonary pure vitreous nodules.
Further, the lung milled glass nodules are invasive lung pure milled glass nodules.
The IgG is of human origin.
Compared with the prior art, the invention has the beneficial effects that:
the invention, through extensive and intensive research, finds that: the combination of IgG high mannose type sugar chains, IgG poly-N-acetylglucosamine type sugar chains, IgG core fucose type sugar chains and IgG alpha 2, 6-sialyl sugar chains is used as a serum biomarker to assist the existing imaging CT examination, so that the sensitivity and specificity of screening high-risk invasive GGN patients can be improved, the diagnosis accuracy of the existing invasive GGN patients with higher malignancy can be improved, and the clinical over-treatment of non-invasive GGN patients is avoided.
Drawings
FIG. 1 is a graph showing the results of detection of serum IgG-enriched silver staining in GGN patients.
FIG. 2 shows the raw scan results and the 45 lectin net signal value distribution of serum IgG sugar chain expression of GGN patients analyzed by the lectin chip.
FIG. 3 shows the distribution of the net signal values of 45 lectins in two batches of chips for serum IgG from a #30 GGN patient.
FIG. 4 shows the results of the clustering analysis of the heteroadhesin probes found under the five normalization methods.
FIG. 5 shows the results of verifying the expression levels of SNA in non-invasive GGN patients and invasive GGN patients by lectin blotting.
FIG. 6 shows the results of ROC curve analysis of the combined diagnostic model and CT values in training set samples for differentiating the malignancy of GGNs.
FIG. 7 shows the results of ROC curve analysis of the combined diagnostic model and CT values in the validation set of samples for differentiating the malignancy of GGNs.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
Before the present embodiments are further described, it is to be understood that the scope of the invention is not limited to the particular embodiments described below; it is also to be understood that the terminology used in the examples is for the purpose of describing particular embodiments, and is not intended to limit the scope of the present invention; in the description and claims of the present application, the singular forms "a", "an" and "the" include plural referents unless the context clearly dictates otherwise.
When numerical ranges are given in the examples, it is understood that both endpoints of each of the numerical ranges and any value therebetween can be selected unless the invention otherwise indicated. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. In addition to the specific methods, devices, and materials used in the examples, any methods, devices, and materials similar or equivalent to those described in the examples may be used in the practice of the invention in addition to the specific methods, devices, and materials used in the examples, in keeping with the knowledge of one skilled in the art and with the description of the invention.
Unless otherwise indicated, the experimental methods, detection methods, and preparation methods disclosed herein all employ techniques conventional in the art of molecular biology, biochemistry, chromatin structure and analysis, analytical chemistry, cell culture, recombinant DNA technology, and related arts. These techniques are well described in the literature, and may be found in particular in the study of the MOLECULAR CLONING, Sambrook et al: a LABORATORY MANUAL, Second edition, Cold Spring Harbor LABORATORY Press, 1989and Third edition, 2001; ausubel et al, Current PROTOCOLS IN MOLECULAR BIOLOGY, John Wiley & Sons, New York, 1987and periodic updates; the series METHODS IN ENZYMOLOGY, Academic Press, San Diego; wolffe, CHROMATIN STRUCTURE AND FUNCTION, Third edition, Academic Press, San Diego, 1998; (iii) METHODS IN ENZYMOLOGY, Vol.304, Chromatin (P.M.Wassarman and A.P.Wolffe, eds.), Academic Press, San Diego, 1999; and METHODS IN MOLECULAR BIOLOGY, Vol.119, chromatography Protocols (P.B.Becker, ed.) Humana Press, Totowa, 1999, etc.
First, search for lectin Probe
Example 1: collection of serum samples of patients with pulmonary vitreous nodules of different pathological types
In the present invention, 102 serum samples of patients with pure-glass nodules (GGN) were used, and the samples were collected at 2015.01-2016.11 in Hospital, Shanghai, and the types of pathologies were clearly diagnosed by histopathological examination, including 6 benign cases (benign), 2 AAH cases, 31 AIS cases, 42 MIA cases, and 21 IA cases. Clinical information for all patients is shown in Table 1
As shown.
TABLE 1102 clinical information for patients with pure pulmonary vitreous nodules
Remarking: benign, benign disease patients; AAH, atypical adenomatous hyperplasia; AIS, in situ adenocarcinoma; MIA, micro-invasive adenocarcinoma; IA, invasive adenocarcinoma
Example 2: lectin chip-based serum IgG sugar chain spectrum detection and differential lectin probe screening
1. Enrichment and purification of serum IgG
According to the characteristic that Protein G can be efficiently and specifically bound with IgG, IgG is enriched and purified from the patient serum by using commercially available Protein G magnetic beads (BioRad company, USA) (the specific operation process refers to a user manual), the Protein of eluent is quantified by a micro BCA method, and the purity of the enriched product is identified by a silver staining method. The typical effect of IgG enrichment in serum of GGN patients is shown in FIG. 1. FIG. 1: the serum IgG enriched silver staining detection result of the GGN patient represents a picture.
2. Labeling of IgG with Cy3 fluorescent dye
mu.L of the diluted IgG eluate was taken and added to an EP tube containing 10. mu.g of Cy3 fluorescent dye (Cy 3-succinimidyl ester, GE Healthcare Co., UK), mixed, and then reacted at room temperature for 1 hour with exclusion of light. Then, 80. mu.L of Probing buffer (Glyco Technica, Japan) was added to adjust the total volume of all samples to 100. mu.L, and after mixing, the mixture was reacted at room temperature for 2 hours in the dark to block the free Cy3 fluorescent reagent.
3. Detection of sugar chain profile of IgG Using lectin chip
We performed sugar chain expression profiling on IgG samples labeled with Cy3 fluorescent reagent using a commercially available lectin chip LecChip (glyco technical, japan) (refer to the user manual for specific procedures), and scanned using a chip scanner glyco position Reader 1200 (glyco technical, japan). After data transformation, background correction and data combination, the net signals of 45 lectins on the chip were obtained. The net signal values of 45 lectins were analyzed by histogram and found: the positive signals are mainly found in some lectins that specifically recognize N-sugar chains, such as PSA, LCA, RCA120 and ConA, etc. In addition, the LCA signal specifically recognizing core fucose is particularly strong, and the average value is the highest among 45 kinds of lectins, which indicates that the content of IgG containing core glycosylation modification in human serum is very high, which is consistent with the report.
4. Screening lectin probes that significantly distinguish non-infiltrating from infiltrating GGN patients
Since surgical excision is now routinely performed clinically on invasive GGN patients in the MIA and IA stages, and further follow-up observations are routinely made on non-invasive GGN patients in the benign, AAH and AIS stages, we divided 102 GGN patients into two groups of non-invasive (benign/AAH/AIS) and invasive (MIA/IA) and further screened lectin probes useful for differentiating the two groups of GGN patients in this study. In this study we normalized the net signals of 45 lectins using maximum normalization and specific lectin normalization, respectively, and used for subsequent statistical analysis. FIG. 2: original scan results (B) and 45 lectin net signal value distributions (C) were analyzed for serum IgG sugar chain expression in GGN patients using lectin chips (A). As can be seen from fig. 2, the LCA signal intensity value is the largest among the 45 lectins, so that the signal intensity values of all other lectins (44 lectins) in each sample are normalized to the maximum value by LCA normalization. In addition, since two batches of chips were used in the experiment, and serum IgG from GGN patient #30 was used as an internal reference in the two batches of experiments, PSA, RCA120, NPA and UDA, which were stable in detection in the two batches of chips, were selected for specific lectin normalization from their net signal value distributions of 45 lectins in the two batches of chips (fig. 3). FIG. 3: serum IgG from GGN patient #30 distributed the net signal values of 45 lectins in both batches of chips.
In the specific data processing process, because two batches of chips are used for detection in the research, in order to reduce the difference caused by chip detection among different batches, the lectin net signal value of the chips among different batches is normalized by taking the serum IgG sugar chain expression data of a #30 GGN patient as an internal reference. On this basis, the Relative signal values (Relative intensities) of 45 lectins were obtained for all samples using five normalization methods, Max (LCA) -normalization, PSA-normalization, RCA 120-normalization, NPA-normalization and UDA-normalization, respectively.
Differential agglutinin detected by 45 agglutinin samples of 102 samples found under five normalization methods were subjected to statistics and clustering analysis, and agglutinin probes for distinguishing two groups of GGN patients with non-wettability (benign/AAH/AIS) and wettability (MIA/IA) which can be found under different methods include SNA and TJA-I for identifying sialic acid modification, GNA for identifying high mannose type, VVA for identifying O-sugar and STL and LTL for identifying poly-GlcNAc (Table 2 and FIG. 4). The foregoing analyses suggested that sialylation, high mannose glycosylation, and poly-GlcNAc glycosylation modifications were all reduced on serum IgG from patients infiltrated with GGN. FIG. 4: color represents p-value expression between two groups of GGN patients with non-wettability (benign/AAH/AIS) and wettability (MIA/IA), while green represents smaller p-value and red represents larger p-value, according to the differential lectin clustering analysis found under the five normalysis methods.
TABLE 2 analysis of the p-values of the lectins found under the five normalization methods
II, verifying expression of specific sugar chains identified by differential lectin probes in serum IgG of GGN patients at different pathological stages by lectin blotting
Example 3: lectin blotting verification of expression of specific sugar chains identified by the differential lectin probes in serum IgG of GGN patients at different pathological stages
Furthermore, in order to verify the reliability of the differential lectin probes screened by the lectin chip, we performed expression verification on the differential lectin probes SNA searched for and used for distinguishing two groups of GGN patients by using a lectin blotting method. Since the LCA signal of each sample in the study is strongest, the SNA signal value of the same sample is divided by the corresponding gray quantitative value of the LCA of the sample to be regarded as the relative content of the SNA-specific recognition sugar chain on the serum IgG protein of the patient. By comparing the differences between the two groups using the nonparametric assay, it was found that the amount of SNA-specific recognition sugar chains was significantly reduced in serum IgG from patients with invasive growth GGN (p 0.013, fig. 5), as compared to those from patients with non-invasive growth GGN, and the trend was consistent with the lectin chip experiment results. FIG. 5: expression of SNAs in non-invasive and invasive GGN patients was performed using lectin blotting.
Thirdly, establishing and verifying the combined diagnosis model of agglutinin probe and CT value
Example 4: establishment of lectin probe detection and CT value combined diagnosis model in training group
At present, clinical CT is a main means for early screening of lung cancer, but the malignancy of GGNs with different pathological degrees cannot be distinguished only by CT images, in order to evaluate the clinical application potential of differential lectin probes found by lectin chips in the diagnosis of invasive GGNs through auxiliary CT examination, 102 samples are randomly divided into a training group (68 samples in total, 4 samples of benign, 1 sample of AAH, 20 samples of AIS, 28 samples of MIA and 15 samples of IA) and a verification group (34 samples in total, 2 samples of benign, 1 sample of AAH, 11 samples of AIS, 14 samples of MIA and 6 samples of IA) according to a ratio of 2:1, and gender, age and nodule size are uniformly distributed in the two groups as far as possible. And establishing a combined diagnosis model of the relative signal value and the CT value of the lectin probe in the training set by a regression analysis method. And evaluating the clinical application potential of the joint diagnosis model in diagnosing the invasive GGN by performing ROC curve analysis on the joint diagnosis model. The results show that the model is significantly better than the individual indices CT values in the training set of experimental samples (joint diagnostic model: AUC 0.783; CT: AUC 0.664; p 0.037) (fig. 6) for distinguishing patients with non-invasive GGN from those with invasive GGN. FIG. 6: and combining the diagnostic model and the CT value to analyze the ROC curve for distinguishing the malignancy degree of the GGN in the training group samples. The red line represents the ROC curve for the combined index and the blue line represents the ROC plot for the CT value.
The combined diagnostic model (2.158-1.503 GNA-1.664 LTL + 0.561P 3A-1.738 NA +0.001
CT value
Example 5: evaluation of the potential of the Joint diagnostic model for clinical application in diagnosing invasive GGN patients in a validation set
In order to further verify the clinical application value of the joint diagnosis model in diagnosing invasive GGN patients, ROC curve analysis is carried out on the joint diagnosis model in a verification group sample, and the result shows that the effect of the model on distinguishing non-invasive GGN patients from invasive GGN patients is still better than the CT value of an individual index in the verification group sample (the joint diagnosis model: AUC is 0.842; CT value: AUC is 0.722; and p is 0.146) (figure 7). FIG. 7: and combining the diagnosis model and the CT value to analyze the ROC curve for distinguishing the malignancy degree of the GGN in the verification group samples. The red line represents the ROC curve for the combined index and the blue line represents the ROC plot for the CT value. The lectin probe of the serum IgG differential sugar chain screened by the lectin chip technology can be used together with the current clinical CT examination, improves the diagnosis accuracy of the invasive GGN patients, and has certain clinical value.
The invention, through extensive and intensive research, discovers for the first time: four lectin probes (Galanthus nivalis agglutinin GNA/Lotus winged agglutinin LTL/pea agglutinin PSA/Sambucus williamsii agglutinin SNA), the expression of the specific recognition sugar chains in serum IgG of invasive GGN patients is remarkably reduced, and the low expression indicates that the patients need to perform surgical intervention in time.
That is: the lectin probe SNA specifically recognizes an IgG alpha 2, 6-sialylated glycoform, the expression level of which is significantly reduced in serum IgG of patients with invasive GGN compared to non-invasive GGN. The lectin probe GNA specifically recognizes a high mannose type, whose expression level is significantly reduced in serum IgG of patients with invasive GGN, compared to non-invasive GGN. The lectin probe LTL specifically recognizes poly-N-acetylglucosamine glycoforms (poly-GlcNAc), whose expression levels are significantly reduced in serum IgG of patients with invasive GGN compared to non-invasive GGN. The lectin probe PSA specifically recognizes the core fucose type, and the expression level of this glycoform is significantly reduced in serum IgG of patients with invasive GGN, compared to non-invasive GGN.
Furthermore, it was found that a diagnostic model combining the relative net signal and CT values of the four lectin probes (Galanthus galantha lectin GNA/Lotus winged Lotus japonicus lectin LTL/pea lectin PSA/Sambucus nigra lectin SNA) can be used to determine the more malignant invasive GGNs. The diagnostic model better distinguishes patients with invasive GGNs from patients with non-invasive GGNs relative to single CT values.
According to the invention, by establishing the combined diagnosis model of the 4 differential lectin probes and the clinical CT detection value, the diagnosis accuracy of the invasive GGN patient with higher malignancy degree at present can be improved, and the over-treatment of the non-invasive GGN patient in clinic is avoided.
In conclusion, the present invention effectively overcomes various disadvantages of the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (6)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711070938.0A CN109752546B (en) | 2017-11-03 | 2017-11-03 | Application of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary vitreous nodule |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711070938.0A CN109752546B (en) | 2017-11-03 | 2017-11-03 | Application of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary vitreous nodule |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109752546A CN109752546A (en) | 2019-05-14 |
CN109752546B true CN109752546B (en) | 2022-03-11 |
Family
ID=66398760
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711070938.0A Active CN109752546B (en) | 2017-11-03 | 2017-11-03 | Application of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary vitreous nodule |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109752546B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113281519A (en) * | 2021-02-10 | 2021-08-20 | 中国医学科学院北京协和医院 | Sugar chain marker for diagnosing PBC patients positive and negative to ACA antibody and use thereof |
CN115876991B (en) * | 2023-03-08 | 2023-06-23 | 中国医学科学院北京协和医院 | Sugar chain markers for the diagnosis of pulmonary embolism and their application |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPWO2012036094A1 (en) * | 2010-09-17 | 2014-02-03 | 独立行政法人産業技術総合研究所 | Lung cancer differentiation marker |
CN102175879A (en) * | 2011-01-19 | 2011-09-07 | 西北大学 | Method for detecting alternative biological markers of liver neoplasms in saliva, serum and urine |
TWI677507B (en) * | 2012-06-22 | 2019-11-21 | 達特茅斯學院基金會 | Novel vista-ig constructs and the use of vista-ig for treatment of autoimmune, allergic and inflammatory disorders |
CN106501225B (en) * | 2016-10-14 | 2019-05-14 | 中国人民解放军总医院 | The sugar chain of agglutinin group identification is distinguishing the application in pancreatic mucinous cystic tumors and pancreas serosity cystoma |
-
2017
- 2017-11-03 CN CN201711070938.0A patent/CN109752546B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN109752546A (en) | 2019-05-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gilgunn et al. | Aberrant PSA glycosylation—a sweet predictor of prostate cancer | |
Peng et al. | Clinical application of quantitative glycomics | |
Ruhaak et al. | The serum immunoglobulin G glycosylation signature of gastric cancer | |
Ozcan et al. | Serum glycan signatures of gastric cancer | |
Wang et al. | Differential N-glycan patterns identified in lung adenocarcinoma by N-glycan profiling of formalin-fixed paraffin-embedded (FFPE) tissue sections | |
CN109342727B (en) | Esophageal squamous cell carcinoma autoantibody molecular marker model and application thereof | |
Dang et al. | Mapping human N-linked glycoproteins and glycosylation sites using mass spectrometry | |
Zhang et al. | Identification of abnormal fucosylated-glycans recognized by LTL in saliva of HBV-induced chronic hepatitis, cirrhosis, and hepatocellular carcinoma | |
CN109752546B (en) | Application of serum immunoglobulin G sugar chain modification in early diagnosis of pulmonary vitreous nodule | |
Ren et al. | Machine learning reveals salivary glycopatterns as potential biomarkers for the diagnosis and prognosis of papillary thyroid cancer | |
TW201248151A (en) | A serological maker for detecting pancreatic cancer and a method for using the serological maker | |
Liu et al. | Revealing the changes of IgG subclass‐specific N‐glycosylation in colorectal cancer progression by high‐throughput assay | |
CN113866424A (en) | Application of carbonic anhydrase 1 and acid sphingomyelinase-like phosphodiesterase 3a as molecular markers in the diagnosis of colorectal cancer | |
Chen et al. | Chemical proteomic approach for in-depth glycosylation profiling of plasma carcinoembryonic antigen in cancer patients | |
Yang et al. | Potential value of Datura stramonium agglutinin-recognized glycopatterns in urinary protein on differential diagnosis of diabetic nephropathy and nondiabetic renal disease | |
WO2011027351A2 (en) | Diagnosis of cancers through glycome analysis | |
CN109738654B (en) | Application of beta 2-microglobulin in preparation of kit for quantitatively detecting liver cancer marker | |
CN114660290B (en) | Sugar chain marker for predicting postoperative recurrence of thyroid cancer and application thereof | |
CN116008550A (en) | Application of SMIM26 protein as clinical biomarker for kidney cancer | |
CN111220804B (en) | Marker for evaluating breast cancer chemotherapy effect based on serum glycoprotein | |
WO2010071119A1 (en) | Method for diagnosing pancreatic cancer by sugar chain analysis | |
US20250149180A1 (en) | Glycan structures of haptoglobin as a biomarker of hepatocellular carcinoma | |
US20250138017A1 (en) | Glycan structures of haptoglobin as a biomarker of hepatocellular carcinoma | |
CN110554195B (en) | Application of biomarker derived from human peripheral blood CD8+ T cells in prognosis of pancreatic cancer | |
CN110412277B (en) | Application of SNAP91 autoantibody detection reagent in preparation of lung cancer screening kit |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |