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He Q, Qu M, Xu C, Wu L, Xu Y, Su J, Bao H, Shen T, He Y, Cai J, Xu D, Zeng LH, Wu X. Smoking-induced CCNA2 expression promotes lung adenocarcinoma tumorigenesis by boosting AT2/AT2-like cell differentiation. Cancer Lett 2024; 592:216922. [PMID: 38704137 DOI: 10.1016/j.canlet.2024.216922] [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: 10/26/2023] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 05/06/2024]
Abstract
Lung adenocarcinoma (LUAD), a type of non-small cell lung cancer (NSCLC), originates from not only bronchial epithelial cells but also alveolar type 2 (AT2) cells, which could differentiate into AT2-like cells. AT2-like cells function as cancer stem cells (CSCs) of LUAD tumorigenesis to give rise to adenocarcinoma. However, the mechanism underlying AT2 cell differentiation into AT2-like cells in LUAD remains unknown. We analyze genes differentially expressed and genes with significantly different survival curves in LUAD, and the combination of these two analyses yields 147 differential genes, in which 14 differentially expressed genes were enriched in cell cycle pathway. We next analyze the protein levels of these genes in LUAD and find that Cyclin-A2 (CCNA2) is closely associated with LUAD tumorigenesis. Unexpectedly, high CCNA2 expression in LUAD is restrictedly associated with smoking and independent of other driver mutations. Single-cell sequencing analyses reveal that CCNA2 is predominantly involved in AT2-like cell differentiation, while inhibition of CCNA2 significantly reverses smoking-induced AT2-like cell differentiation. Mechanistically, CCNA2 binding to CDK2 phosphorylates the AXIN1 complex, which in turn induces ubiquitination-dependent degradation of β-catenin and inhibits the WNT signaling pathway, thereby failing AT2 cell maintenance. These results uncover smoking-induced CCNA2 overexpression and subsequent WNT/β-catenin signaling inactivation as a hitherto uncharacterized mechanism controlling AT2 cell differentiation and LUAD tumorigenesis.
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Affiliation(s)
- Qiangqiang He
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Meiyu Qu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Chengyun Xu
- Department of Pharmacology, Hangzhou City University, Hangzhou 310015, China
| | - Lichao Wu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yana Xu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jiakun Su
- Technology Center, China Tobacco Jiangxi Industrial Co. Ltd., Nanchang 330096, China
| | - Hangyang Bao
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Tingyu Shen
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yangxun He
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jibao Cai
- Technology Center, China Tobacco Jiangxi Industrial Co. Ltd., Nanchang 330096, China
| | - Da Xu
- Technology Center, China Tobacco Jiangxi Industrial Co. Ltd., Nanchang 330096, China
| | - Ling-Hui Zeng
- Department of Pharmacology, Hangzhou City University, Hangzhou 310015, China.
| | - Ximei Wu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China; Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310015, China.
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Wang Y, Ouyang S, Liu M, Si Q, Zhang X, Zhang X, Li J, Wang P, Ye H, Shi J, Song C, Wang K, Dai L. Humoral immune response to tumor-associated antigen Ubiquilin 1 (UBQLN1) and its tumor-promoting potential in lung cancer. BMC Cancer 2024; 24:283. [PMID: 38431566 PMCID: PMC10908023 DOI: 10.1186/s12885-024-12019-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 02/18/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND This study aims to investigate the expression of UBQLN1 in lung cancer (LC) tissue and the diagnostic capability of autoantibody to UBQLN1 (anti-UBQLN1) in the detection of LC and the discrimination of pulmonary nodules (PNs). METHODS Sera from 798 participants were used to discover and validate the level of autoantibodies via HuProt microarray and Enzyme-linked immunosorbent assay (ELISA). Logistic regression analysis was applied to establish model. Receiver operating characteristic curve (ROC) analysis was performed to evaluate the diagnostic potential. Immunohistochemistry was performed to detect UBQLN1 expression in 88 LC tissues and 88 para-tumor tissues. qRT-PCR and western blotting were performed to detect the expression of UBQLN1 at the mRNA and protein levels, respectively. Trans-well assay and cell counting kit-8 (CCK-8) was used to investigate the function of UBQLN1. RESULTS Anti-UBQLN1 was identified with the highest fold change by protein microarray. The level of anti-UBQLN1 in LC patients was obviously higher than that in NC or patients with benign lung disease of validation cohort 1 (P<0.05). The area under the curve (AUC) of anti-UBQLN1 was 0.610 (95%CI: 0.508-0.713) while reached at 0.822 (95%CI: 0.784-0.897) when combining anti-UBQLN1 with CEA, CYFRA21-1, CA125 and three CT indicators (vascular notch sign, lobulation sign and mediastinal lymph node enlargement) in the discrimination of PNs. UBQLN1 protein was overexpressed in lung adenocarcinoma (LUAD) tissues compared to para-tumor tissues. UBQLN1 knockdown remarkably inhibited the migration, invasion and proliferation of LUAD cell lines. CONCLUSIONS Anti-UBQLN1 might be a potential biomarker for the diagnosis of LC and the discrimination of PNs.
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Affiliation(s)
- Yulin Wang
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Songyun Ouyang
- Department of Respiratory and Sleep Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Man Liu
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Laboratory of Molecular Biology, Henan Luoyang Orthopedic Hospital (Henan Provincial Orthopedic Hospital), Zhengzhou, China
| | - Qiufang Si
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Xue Zhang
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Xiuzhi Zhang
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Jiaqi Li
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Peng Wang
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Hua Ye
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Jianxiang Shi
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Chunhua Song
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Kaijuan Wang
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China.
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Mohamed E, García Martínez DJ, Hosseini MS, Yoong SQ, Fletcher D, Hart S, Guinn BA. Identification of biomarkers for the early detection of non-small cell lung cancer: a systematic review and meta-analysis. Carcinogenesis 2024; 45:1-22. [PMID: 38066655 DOI: 10.1093/carcin/bgad091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 11/27/2023] [Accepted: 12/05/2023] [Indexed: 02/13/2024] Open
Abstract
Lung cancer (LC) causes few symptoms in the earliest stages, leading to one of the highest mortality rates among cancers. Low-dose computerised tomography (LDCT) is used to screen high-risk individuals, reducing the mortality rate by 20%. However, LDCT results in a high number of false positives and is associated with unnecessary follow-up and cost. Biomarkers with high sensitivities and specificities could assist in the early detection of LC, especially in patients with high-risk features. Carcinoembryonic antigen (CEA), cytokeratin 19 fragments and cancer antigen 125 have been found to be highly expressed during the later stages of LC but have low sensitivity in the earliest stages. We determined the best biomarkers for the early diagnosis of LC, using a systematic review of eight databases. We identified 98 articles that focussed on the identification and assessment of diagnostic biomarkers and achieved a pooled area under curve of 0.85 (95% CI 0.82-0.088), indicating that the diagnostic performance of these biomarkers when combined was excellent. Of the studies, 30 focussed on single/antigen panels, 22 on autoantibodies, 31 on miRNA and RNA panels, and 15 suggested the use of circulating DNA combined with CEA or neuron-specific enolase (NSE) for early LC detection. Verification of blood biomarkers with high sensitivities (Ciz1, exoGCC2, ITGA2B), high specificities (CYFR21-1, antiHE4, OPNV) or both (HSP90α, CEA) along with miR-15b and miR-27b/miR-21 from sputum may improve early LC detection. Further assessment is needed using appropriate sample sizes, control groups that include patients with non-malignant conditions, and standardised cut-off levels for each biomarker.
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Affiliation(s)
- Eithar Mohamed
- Centre for Biomedicine, Hull York Medical School, University of Hull, Kingston-upon-Hull, HU6 7RX, UK
| | - Daniel J García Martínez
- Department of Biotechnology, Pozuelo de Alarcón, University Francisco De Vitoria, Madrid, 28223, Spain
| | - Mohammad-Salar Hosseini
- Research Centre for Evidence-Based Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Si Qi Yoong
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Daniel Fletcher
- Centre for Biomedicine, Hull York Medical School, University of Hull, Kingston-upon-Hull, HU6 7RX, UK
| | - Simon Hart
- Respiratory Medicine, Hull York Medical School, University of Hull, Kingston-upon-Hull, HU6 7RX, UK
| | - Barbara-Ann Guinn
- Centre for Biomedicine, Hull York Medical School, University of Hull, Kingston-upon-Hull, HU6 7RX, UK
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Liu Q, Zhang W, Wang B, Shi J, He P, Jia L, Huang Y, Xu M, Ma Y, Cheng Q, Lei Z. Effects of Oregano Essential Oil on IgA +, IgG +, and IgM + Cells in the Jejunum of Castrated Holstein Bulls. Animals (Basel) 2023; 13:3766. [PMID: 38136804 PMCID: PMC10740482 DOI: 10.3390/ani13243766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 11/27/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023] Open
Abstract
The aim of this study was to investigate the effect of oregano essential oil on IgA+, IgG+, and IgM+ cells in the jejunum of castrated Holstein bulls. Twelve castrated Holstein bulls were randomly divided into control (YCK) and oregano essential oil (YEO) groups. Pathological changes in the jejunum were observed by HE staining, and the expression levels of IgA, IgG, and IgM in the jejunum were detected by ELISA. The distributions of IgA+, IgG+, and IgM+ cells in the jejunum were analysed by multiplex immunofluorescence and immunohistochemistry. The results showed that the jejunal villi were detached in the YCK group, which may have been related to inflammation, while the intestinal epithelium was clear and intact in the YEO group. The expressions of IgA, IgG, and IgM were significantly reduced by 40.75%, 30.76%, and 50.87%. The IgA+, IgG+, and IgM+ cells were diffusely distributed in the lamina propria of the jejunum, and were reduced by 17.07%, 6.44%, and 6.15%, respectively. Oregano essential oil did not alter the distribution characteristics of IgA+, IgG+, or IgM+ cells in the jejunum, but it suppressed inflammatory response, decreased immunoglobulin content, and significantly enhanced the formation of an immune barrier in the gastrointestinal mucosa.
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Affiliation(s)
- Qiyan Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (Q.L.); (J.S.); (P.H.); (L.J.); (M.X.); (Y.M.)
| | - Wangdong Zhang
- College of Animal Medicine, Gansu Agricultural University, Lanzhou 730070, China; (W.Z.); (B.W.)
| | - Baoshan Wang
- College of Animal Medicine, Gansu Agricultural University, Lanzhou 730070, China; (W.Z.); (B.W.)
| | - Jinping Shi
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (Q.L.); (J.S.); (P.H.); (L.J.); (M.X.); (Y.M.)
| | - Pengjia He
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (Q.L.); (J.S.); (P.H.); (L.J.); (M.X.); (Y.M.)
| | - Li Jia
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (Q.L.); (J.S.); (P.H.); (L.J.); (M.X.); (Y.M.)
| | - Yongliang Huang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (Q.L.); (J.S.); (P.H.); (L.J.); (M.X.); (Y.M.)
| | - Meiling Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (Q.L.); (J.S.); (P.H.); (L.J.); (M.X.); (Y.M.)
| | - Yue Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (Q.L.); (J.S.); (P.H.); (L.J.); (M.X.); (Y.M.)
| | - Qiang Cheng
- Jing Chuan Xu Kang Food Co., Ltd., Pingliang 745000, China;
| | - Zhaomin Lei
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (Q.L.); (J.S.); (P.H.); (L.J.); (M.X.); (Y.M.)
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5
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Curcio C, Rosso T, Brugiapaglia S, Guadagnin G, Giordano D, Castellino B, Satolli MA, Spadi R, Campra D, Moro F, Papotti MG, Bertero L, Cassoni P, De Angelis C, Langella S, Ferrero A, Armentano S, Bellotti G, Fenocchio E, Nuzzo A, Ciccone G, Novelli F. Circulating autoantibodies to alpha-enolase (ENO1) and far upstream element-binding protein 1 (FUBP1) are negative prognostic factors for pancreatic cancer patient survival. Clin Exp Med 2023; 23:5089-5100. [PMID: 37910256 PMCID: PMC10725354 DOI: 10.1007/s10238-023-01236-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/24/2023] [Indexed: 11/03/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDA) has a dismal prognosis due to a lack of early diagnostic markers and effective therapy. In PDA patients, the glycolytic enzyme and plasminogen receptor alpha-enolase (ENO1) and the transcription factor far upstream element-binding protein 1 (FUBP1) are upregulated and elicit the production of autoantibodies (aAb) that discriminate healthy subjects from PDA patients, with the latter mostly directed to post-translational phosphorylated isoforms. Here, the correlation of prognosis with circulating ENO1 and FUBP1aAb, and their protein tissue expression was analyzed in PDA patients. Circulating ENO1 and FUBP1 aAb was analyzed in two cohorts of PDA patients by ELISA (n = 470), while tissues expression was observed by immunohistochemistry (n = 45). Overall survival (OS) was estimated using the Kaplan-Meier method, while the Cox model was used to estimate the hazard ratios (HR) adjusted for the main prognostic factors. Logistic models were applied to assess associations between death and its risk indicators. All statistical analyses were performed with Stata version 15. Unlike ENO1 aAb, there was a significant correlation between FUBP1 aAb and FUBP1 expression in tumors (p = 0.0268). In addition, we found that high ENO1 (p = 0.016) and intermediate FUBP1 aAb levels (p = 0.013) were unfavorable prognostic factors. Notably, it was found that high anti-FUBP1 aAb level is a good prognostic marker for tail-body PDA (p = 0.016). Our results suggest that different levels of circulating aAb to ENO1 and FUBP1 predict a poor outcome in PDA patients and can be used to improve therapeutic strategies.
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Affiliation(s)
- Claudia Curcio
- Laboratory of Tumor Immunology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy
- ENOAPA Biobank, SSD Banche Tessuti E Bioconservatorio, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Tiziana Rosso
- Unit of Clinical Epidemiology, AOU Città Della Salute E Della Scienza Di Torino and CPO Piemonte, Turin, Italy
| | - Silvia Brugiapaglia
- Laboratory of Tumor Immunology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy
- ENOAPA Biobank, SSD Banche Tessuti E Bioconservatorio, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Giorgia Guadagnin
- Laboratory of Tumor Immunology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy
- ENOAPA Biobank, SSD Banche Tessuti E Bioconservatorio, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Daniele Giordano
- Laboratory of Tumor Immunology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy
- ENOAPA Biobank, SSD Banche Tessuti E Bioconservatorio, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Bruno Castellino
- Centro Oncologico Ematologico Subalpino, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Maria Antonietta Satolli
- Centro Oncologico Ematologico Subalpino, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Rosella Spadi
- Centro Oncologico Ematologico Subalpino, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Donata Campra
- SC Chirurgia Generale d'urgenza E Pronto Soccorso, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Francesco Moro
- SC Chirurgia Generale U2, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Mauro Giulio Papotti
- Pathology Unit, Department of Medical Sciences, University of Torino, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Luca Bertero
- Pathology Unit, Department of Medical Sciences, University of Torino, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Paola Cassoni
- Pathology Unit, Department of Medical Sciences, University of Torino, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Claudio De Angelis
- SCDU Gastroenterology U, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Serena Langella
- General Surgery and Oncology, Ordine Mauriziano Di Torino, Turin, Italy
| | | | - Serena Armentano
- General Surgery and Oncology, Ordine Mauriziano Di Torino, Turin, Italy
| | - Giovanna Bellotti
- Oncology Department, SS. Antonio E Biagio C. Arrigo Di Alessandria, Alessandria, Italy
| | | | - Annamaria Nuzzo
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy
| | - Giovannino Ciccone
- Unit of Clinical Epidemiology, AOU Città Della Salute E Della Scienza Di Torino and CPO Piemonte, Turin, Italy
| | - Francesco Novelli
- Laboratory of Tumor Immunology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy.
- ENOAPA Biobank, SSD Banche Tessuti E Bioconservatorio, AOU Città Della Salute E Della Scienza Di Torino, Turin, Italy.
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, Piazza Nizza 44B, Turin, Italy.
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Liu C, Zhao H, Wang P, Guo Z, Qu Z. The combination of circulating IgM and geriatric nutritional risk index predicts the prognostic of hepatocellular carcinoma patients who underwent immune checkpoint inhibitors. Int Immunopharmacol 2023; 123:110704. [PMID: 37506504 DOI: 10.1016/j.intimp.2023.110704] [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: 04/30/2023] [Revised: 07/22/2023] [Accepted: 07/23/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVE Immune checkpoint inhibitors (ICIs) have shown promise in hepatocellular carcinoma (HCC) treatment. With the increasing use of ICIs in cancer treatment, identifying biomarkers that can predict the prognosis of patients receiving ICIs is of great importance. We aimed to investigate the potential of circulating immunoglobulins and the combination of Geriatric Nutritional Risk Index (GNRI) with IgM to predict prognosis in patients with HCC who received ICIs. METHODS Clinical and pathological data were collected from 101 patients with HCC who were administered ICIs and underwent circulating immunoglobulin testing between January 2018 and December 2021. Survival analysis, Cox regression analysis, and nomogram construction were performed to evaluate the prognostic value of the indicators. RESULTS In the preliminary survival analysis, we observed a significant correlation between patient prognosis and IgM levels. Patients with low IgM had shorter survival times. Upon combining the GNRI with IgM, patients with low GNRI and IgM levels had shorter progression-free survival (PFS) and overall survival (OS) (P < 0.001). Additionally, GNRI-IgM had the highest area under the curve (AUC) and was identified as an independent prognostic marker in this study. The C-indices of the nomograms for PFS and OS were 0.797 (0.734-0.860) and 0.827 (0.778-0.876), respectively. CONCLUSIONS IgM was significantly associated with the prognosis of patients with HCC receiving ICIs. The combination of the GNRI with IgM provided superior prognostic value and served as an independent prognostic marker. The GNRI-IgM can be used to effectively identify patients with HCC who are responsive to ICIs.
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Affiliation(s)
- Chunxun Liu
- Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China
| | - Haoran Zhao
- Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China
| | - Peng Wang
- Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China
| | - Zuoming Guo
- Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China
| | - Zhaowei Qu
- Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China.
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7
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Li J, Liu M, Zhang X, Ji L, Yang T, Zhao Y, Wang Z, Liang F, Dai L. Plasma autoantibodies IgG and IgM to PD1/PDL1 as potential biomarkers and risk factors of lung cancer. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04360-z. [PMID: 36127483 DOI: 10.1007/s00432-022-04360-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 09/13/2022] [Indexed: 12/01/2022]
Abstract
Antibodies targeting programmed cell death-1 (PD1) and its ligand (PDL1) have transformed current cancer therapy while little is known about the expression of anti-PD1/PDL1 autoantibodies between lung cancer (LC) patients and normal controls (NC). The expression level of anti-PD1/PDL1 IgG and IgM was detected in plasma of 325 LC and 324 NC by indirect enzyme-linked immune sorbent assay (ELISA). Western blot and indirect immunofluorescence (IIF) were used to verify the ELISA results. The association analysis was used to evaluate the odds ratio (OR) of LC. The expression of anti-PD1/PDL1 IgG in LC samples was significantly higher than NC (P < 0.001 and P < 0.05, respectively). The positive rate of anti-PD1/PDL1 IgG in LC was significantly higher than NC and significant difference was also shown in LC samples of different clinical characteristics, such as clinical stage, nodules diameter, lymph node metastasis and distant metastasis (P < 0.001). Moreover, PD1/PDL1 expression in tissues showed no significant relation with that in plasma (P > 0.05). Anti-PD1/PDL1 IgG were the risk factors related to LC (OR (95% CI): 22.433 (5.426-92.745) and 5.051 (1.316-19.386)), while anti-PD1/PDL1 IgM were the risk factors for LC with ≤ 60 years (OR (95% CI): 6.122 (1.365-27.455) and 7.664 (1.715-34.251)) and anti-PD1 IgM was also the risk factor for male LC cases(OR (95% CI): 6.948 (1.076-44.868)). Plasma anti-PD1/PDL1 IgG and IgM might serve as potential biomarkers and risk predictors for LC.
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Affiliation(s)
- Jiaqi Li
- Henan Institute of Medical and Pharmaceutical Sciences & School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Man Liu
- Henan Institute of Medical and Pharmaceutical Sciences & School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Xue Zhang
- Henan Institute of Medical and Pharmaceutical Sciences & School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Longtao Ji
- BGI College, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Ting Yang
- BGI College, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Yutong Zhao
- Henan Institute of Medical and Pharmaceutical Sciences & School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Zhi Wang
- BGI College, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Feifei Liang
- BGI College, Zhengzhou University, Zhengzhou, 450052, Henan, China.,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences & School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, Henan, China. .,BGI College, Zhengzhou University, Zhengzhou, 450052, Henan, China. .,Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention, Zhengzhou University, Zhengzhou, 450052, Henan, China. .,Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China.
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