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Verathamjamras C, Chantaraamporn J, Sornprachum T, Mutapat P, Chokchaichamnankit D, Mingkwan K, Luevisadpibul V, Srisomsap C, Chutipongtanate S, Svasti J, Champattanachai V. Label-free quantitative proteomics reveals aberrant expression levels of LRG, C9, FN, A1AT and AGP1 in the plasma of patients with colorectal cancer. Clin Proteomics 2023; 20:15. [PMID: 37024778 PMCID: PMC10077704 DOI: 10.1186/s12014-023-09407-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 03/28/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is one of the major causes of cancer-related death worldwide. Although commercial biomarkers of CRC are currently available, they are still lacking in terms of sensitivity and specificity; thus, searching for reliable blood-based biomarkers are important for the primary screening of CRC. METHODS Plasma samples of patients with non-metastatic (NM) and metastatic (M) CRC and healthy controls were fractionated using MARS-14 immunoaffinity chromatography. The flow-through and elute fractions representing low- and high-abundant proteins, respectively, were analyzed by label-free quantitative proteomics mass spectrometry. The functional analysis of the proteins with greater than 1.5-fold differential expression level between the CRC and the healthy control groups were analyzed for their biological processes and molecular functions. In addition, the levels of plasma proteins showing large alterations in CRC patients were confirmed by immunoblotting using two independent cohorts. Moreover, receiver operating characteristic (ROC) curve analysis was performed for individual and combinations of biomarker candidates so as to evaluate the diagnostic performance of biomarker candidates. RESULTS From 163 refined identifications, five proteins were up-regulated and two proteins were down-regulated in NM-CRC while eight proteins were up-regulated and three proteins were down-regulated in M-CRC, respectively. Altered plasma proteins in NM-CRC were mainly involved in complement activation, while those in M-CRC were clustered in acute-phase response, complement activation, and inflammatory response. Results from the study- and validation-cohorts indicate that the levels of leucine-rich alpha-2-glycoprotein-1(LRG), complement component C9 (C9), alpha-1-acid glycoprotein 1 (AGP1), and alpha-1-antitrypsin (A1AT) were statistically increased, while fibronectin (FN) level was statistically decreased in CRC patients compared to healthy controls, with most alterations found in a metastatic stage-dependent manner. ROC analysis revealed that FN exhibited the best diagnostic performance to discriminate CRC patients and healthy controls while AGP1 showed the best discrimination between the disease stages in both cohorts. The combined biomarker candidates, FN + A1AT + AGP1, exhibited perfect discriminatory power to discriminate between the CRC population and healthy controls whereas LRG + A1AT + AGP1 was likely to be the best panel to discriminate the metastatic stages in both cohorts. CONCLUSIONS This study identified and quantified distinct plasma proteome profiles of CRC patients. Selected CRC biomarker candidates including FN, LRG, C9, A1AT, and AGP1 may be further applied for screening larger cohorts including disease groups from other types of cancer or other diseases.
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Affiliation(s)
| | | | | | - Photsathorn Mutapat
- Laboratory of Biochemistry, Chulabhorn Research Institute, Bangkok, Thailand
| | | | - Kanokwan Mingkwan
- Division of Surgery, Sapphasitthiprasong Hospital, Ubon Ratchathani, Thailand
| | - Virat Luevisadpibul
- Division of Information and Technology, Ubonrak Thonburi Hospital, Ubon Ratchathani, Thailand
| | | | - Somchai Chutipongtanate
- Pediatric Translational Research Unit, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jisnuson Svasti
- Laboratory of Biochemistry, Chulabhorn Research Institute, Bangkok, Thailand
- Applied Biological Science Program, Chulabhorn Graduate Institute, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Voraratt Champattanachai
- Laboratory of Biochemistry, Chulabhorn Research Institute, Bangkok, Thailand.
- Applied Biological Science Program, Chulabhorn Graduate Institute, Chulabhorn Royal Academy, Bangkok, Thailand.
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Gwark S, Ahn HS, Yeom J, Yu J, Oh Y, Jeong JH, Ahn JH, Jung KH, Kim SB, Lee HJ, Gong G, Lee SB, Chung IY, Kim HJ, Ko BS, Lee JW, Son BH, Ahn SH, Kim K, Kim J. Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy. Cancers (Basel) 2021; 13:6267. [PMID: 34944885 PMCID: PMC8699627 DOI: 10.3390/cancers13246267] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 12/31/2022] Open
Abstract
The plasma proteome of 51 non-metastatic breast cancer patients receiving neoadjuvant chemotherapy (NCT) was prospectively analyzed by high-resolution mass spectrometry coupled with nano-flow liquid chromatography using blood drawn at the time of diagnosis. Plasma proteins were identified as potential biomarkers, and their correlation with clinicopathological variables and survival outcomes was analyzed. Of 51 patients, 20 (39.2%) were HR+/HER2-, five (9.8%) were HR+/HER2+, five (9.8%) were HER2+, and 21 (41.2%) were triple-negative subtype. During a median follow-up of 52.0 months, there were 15 relapses (29.4%) and eight deaths (15.7%). Four potential biomarkers were identified among differentially expressed proteins: APOC3 had higher plasma concentrations in the pathological complete response (pCR) group, whereas MBL2, ENG, and P4HB were higher in the non-pCR group. Proteins statistically significantly associated with survival and capable of differentiating low- and high-risk groups were MBL2 and P4HB for disease-free survival, P4HB for overall survival, and MBL2 for distant metastasis-free survival (DMFS). In the multivariate analysis, only MBL2 was a consistent risk factor for DMFS (HR: 9.65, 95% CI 2.10-44.31). The results demonstrate that the proteomes from non-invasive sampling correlate with pCR and survival in breast cancer patients receiving NCT. Further investigation may clarify the role of these proteins in predicting prognosis and thus their therapeutic potential for the prevention of recurrence.
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Affiliation(s)
- Sungchan Gwark
- Department of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul 07985, Korea;
| | - Hee-Sung Ahn
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea; (H.-S.A.); (J.Y.); (Y.O.)
- Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea;
| | - Jeonghun Yeom
- Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea;
| | - Jiyoung Yu
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea; (H.-S.A.); (J.Y.); (Y.O.)
| | - Yumi Oh
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea; (H.-S.A.); (J.Y.); (Y.O.)
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, Korea
| | - Jae Ho Jeong
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (J.H.J.); (J.-H.A.); (K.H.J.); (S.-B.K.)
| | - Jin-Hee Ahn
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (J.H.J.); (J.-H.A.); (K.H.J.); (S.-B.K.)
| | - Kyung Hae Jung
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (J.H.J.); (J.-H.A.); (K.H.J.); (S.-B.K.)
| | - Sung-Bae Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (J.H.J.); (J.-H.A.); (K.H.J.); (S.-B.K.)
| | - Hee Jin Lee
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (H.J.L.); (G.G.)
| | - Gyungyub Gong
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (H.J.L.); (G.G.)
| | - Sae Byul Lee
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (S.B.L.); (I.Y.C.); (H.J.K.); (B.S.K.); (J.W.L.); (B.H.S.); (S.H.A.)
| | - Il Yong Chung
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (S.B.L.); (I.Y.C.); (H.J.K.); (B.S.K.); (J.W.L.); (B.H.S.); (S.H.A.)
| | - Hee Jeong Kim
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (S.B.L.); (I.Y.C.); (H.J.K.); (B.S.K.); (J.W.L.); (B.H.S.); (S.H.A.)
| | - Beom Seok Ko
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (S.B.L.); (I.Y.C.); (H.J.K.); (B.S.K.); (J.W.L.); (B.H.S.); (S.H.A.)
| | - Jong Won Lee
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (S.B.L.); (I.Y.C.); (H.J.K.); (B.S.K.); (J.W.L.); (B.H.S.); (S.H.A.)
| | - Byung Ho Son
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (S.B.L.); (I.Y.C.); (H.J.K.); (B.S.K.); (J.W.L.); (B.H.S.); (S.H.A.)
| | - Sei Hyun Ahn
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (S.B.L.); (I.Y.C.); (H.J.K.); (B.S.K.); (J.W.L.); (B.H.S.); (S.H.A.)
| | - Kyunggon Kim
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea; (H.-S.A.); (J.Y.); (Y.O.)
- Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea;
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, Korea
- Clinical Proteomics Core Laboratory, Convergence Medicine Research Center, Asan Medical Center, Seoul 05505, Korea
- Bio-Medical Institute of Technology, Asan Medical Center, Seoul 05505, Korea
| | - Jisun Kim
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (S.B.L.); (I.Y.C.); (H.J.K.); (B.S.K.); (J.W.L.); (B.H.S.); (S.H.A.)
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Ahn HS, Ho JY, Yu J, Yeom J, Lee S, Hur SY, Jung Y, Kim K, Choi YJ. Plasma Protein Biomarkers Associated with Higher Ovarian Cancer Risk in BRCA1/2 Carriers. Cancers (Basel) 2021; 13:cancers13102300. [PMID: 34064977 PMCID: PMC8150736 DOI: 10.3390/cancers13102300] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/03/2021] [Accepted: 05/08/2021] [Indexed: 12/22/2022] Open
Abstract
Simple Summary Most hereditary ovarian cancer is associated with BRCA1/2 variants, and risk-reducing salpingo-oophorectomy during the follow-up monitoring of ovarian cancer development in heathy women with the BRCA1/2 variant reduces ovarian cancer incidence. The aim of this study was to identify plasma protein biomarkers that can indicate an increased risk of developing ovarian cancer using a proteomic approach based on a population of genetic variants. Two identified biomarkers among differentially expressed proteins, SPARC and THBS1, had lower plasma concentrations in healthy BRCA1/2 variant carriers than in ovarian cancer patients with the BRCA1/2 variant; concentration of two proteins increased at the onset of ovarian cancer. These protein markers from non-invasive liquid biopsy sampling could be used to help women with the BRCA1/2 variant determine whether to undergo an oophorectomy that could potentially affect the quality of life. Abstract Ovarian cancer (OC) is the most lethal gynecologic malignancy and in-time diagnosis is limited because of the absence of effective biomarkers. Germline BRCA1/2 genetic alterations are risk factors for hereditary OC; risk-reducing salpingo-oophorectomy (RRSO) is pursued for disease prevention. However, not all healthy carriers develop the disease. Therefore, identifying predictive markers in the BRCA1/2 carrier population could help improve the identification of candidates for preventive RRSO. In this study, plasma samples from 20 OC patients (10 patients with BRCA1/2 wild type (wt) and 10 with the BRCA1/2 variant (var)) and 20 normal subjects (10 subjects with BRCA1/2wt and 10 with BRCA1/2var) were analyzed for potential biomarkers of hereditary OC. We applied a bottom-up proteomics approach, using nano-flow LC-MS to analyze depleted plasma proteome quantitatively, and potential plasma protein markers specific to the BRCA1/2 variant were identified from a comparative statistical analysis of the four groups. We obtained 1505 protein candidates from the 40 subjects, and SPARC and THBS1 were verified by enzyme-linked immunosorbent assay. Plasma SPARC and THBS1 concentrations in healthy BRCA1/2 carriers were found to be lower than in OC patients with BRCA1/2var. If plasma SPARC concentrations increase over 337.35 ng/mL or plasma THBS1 concentrations increase over 65.28 μg/mL in a healthy BRCA1/2 carrier, oophorectomy may be suggested.
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Affiliation(s)
- Hee-Sung Ahn
- Asan Medical Center, Asan Institute for Life Sciences, Seoul 05505, Korea; (H.-S.A.); (J.Y.)
| | - Jung Yoon Ho
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.L.); (S.Y.H.); (Y.J.)
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Jiyoung Yu
- Asan Medical Center, Asan Institute for Life Sciences, Seoul 05505, Korea; (H.-S.A.); (J.Y.)
| | - Jeonghun Yeom
- Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea;
| | - Sanha Lee
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.L.); (S.Y.H.); (Y.J.)
| | - Soo Young Hur
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.L.); (S.Y.H.); (Y.J.)
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Yuyeon Jung
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.L.); (S.Y.H.); (Y.J.)
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Kyunggon Kim
- Asan Medical Center, Asan Institute for Life Sciences, Seoul 05505, Korea; (H.-S.A.); (J.Y.)
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, Korea
- Convergence Medicine Research Center, Asan Medical Center, Clinical Proteomics Core Laboratory, Seoul 05505, Korea
- Asan Medical Center, Bio-Medical Institute of Technology, Seoul 05505, Korea
- Correspondence: (K.K.); (Y.J.C.); Tel.: +82-2-1688-7575 (K.K.); +82-2-2258-2810 (Y.J.C.)
| | - Youn Jin Choi
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.L.); (S.Y.H.); (Y.J.)
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
- Correspondence: (K.K.); (Y.J.C.); Tel.: +82-2-1688-7575 (K.K.); +82-2-2258-2810 (Y.J.C.)
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An Exploratory Pilot Study with Plasma Protein Signatures Associated with Response of Patients with Depression to Antidepressant Treatment for 10 Weeks. Biomedicines 2020; 8:biomedicines8110455. [PMID: 33126421 PMCID: PMC7692261 DOI: 10.3390/biomedicines8110455] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 10/26/2020] [Accepted: 10/26/2020] [Indexed: 12/11/2022] Open
Abstract
Major depressive disorder (MDD) is a leading cause of global disability with a chronic and recurrent course. Recognition of biological markers that could predict and monitor response to drug treatment could personalize clinical decision-making, minimize unnecessary drug exposure, and achieve better outcomes. Four longitudinal plasma samples were collected from each of ten patients with MDD treated with antidepressants for 10 weeks. Plasma proteins were analyzed qualitatively and quantitatively with a nanoflow LC−MS/MS technique. Of 1153 proteins identified in the 40 longitudinal plasma samples, 37 proteins were significantly associated with response/time and clustered into six according to time and response by the linear mixed model. Among them, three early-drug response markers (PHOX2B, SH3BGRL3, and YWHAE) detectable within one week were verified by liquid chromatography-multiple reaction monitoring/mass spectrometry (LC-MRM/MS) in the well-controlled 24 patients. In addition, 11 proteins correlated significantly with two or more psychiatric measurement indices. This pilot study might be useful in finding protein marker candidates that can monitor response to antidepressant treatment during follow-up visits within 10 weeks after the baseline visit.
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Wang Q, Liu X, Chen C, Chen J, Xu B, Chen L, Zhou J, Huang Y, Chen W, Teng R, Zhao W, Jin L, Shen J, Shen J, Yen Y, Wang L. A predictive signature for oxaliplatin and 5-fluorouracil based chemotherapy in locally advanced gastric cancer. Transl Oncol 2020; 14:100901. [PMID: 33091827 PMCID: PMC7576514 DOI: 10.1016/j.tranon.2020.100901] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 09/08/2020] [Accepted: 09/09/2020] [Indexed: 02/08/2023] Open
Abstract
Adjuvant chemotherapy(AC) plays a substantial role in the treatment of locally advanced gastric cancer (LAGC), but the response remains poor. We aims to improve its efficacy in LAGC. Therefore, we identified the expression of eight genes closely associated with platinum and fluorouracil metabolism (RRM1, RRM2, RRM2B, POLH, DUT, TYMS, TYMP, MKI67) in the discovery cohort (N=291). And we further validated the findings in TCGA (N=279) and GEO. Overall survival (OS) was used as an endpoint. Univariate and multivariate Cox models were applied. A multivariate Cox regression model was simulated to predict the OS. In the discovery cohort, the univariate Cox model indicated that AC was beneficial to high-RRM1, high-DUT, low-RRM2, low-RRM2B, low-POLH, low-KI67, low-TYMS or low-TYMP patients, the results were validated in the TCGA cohort. The multivariate Cox model showed consistent results. Cumulative analysis indicated that patients with low C-Score respond poorly to the AC, whereas the high and medium C-Score patients significantly benefit from AC. A risk model based on the above variables successfully predicted the OS in both cohorts (AUC=0.75 and 0.67, respectively). Further validation in a panel of gastric cancer cell (GC) lines (N=37) indicated that C-Score is significantly associated with IC50 value to fluorouracil. Mutation profiling showed that C-Score was associated with the number and types of mutations. In conclusion, we successfully simulated a predictive signature for the efficacy of AC in LAGC patients and further explored the potential mechanisms. Our findings could promote precision medicine and improve the prognosis of LAGC patients. We successfully simulated a predictive signature for the efficacy of chemotherapy in LAGC patients and a GC cell line panel. We further explored the potential mechanisms that it may be associated with the number and type of mutations. Our findings could promote precision medicine and improve the prognosis of LAGC patients.
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Affiliation(s)
- Qinchuan Wang
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Molecular Pharmacology, City of Hope Comprehensive Cancer Center, Duarte, CA, United States of America; Department of Big Data and Health Statistics, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiyong Liu
- Department of Molecular Pharmacology, City of Hope Comprehensive Cancer Center, Duarte, CA, United States of America
| | - Chen Chen
- Department of Big Data and Health Statistics, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jida Chen
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Beisi Xu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, United States of America
| | - Lini Chen
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jichun Zhou
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yasheng Huang
- Department of Molecular Pharmacology, City of Hope Comprehensive Cancer Center, Duarte, CA, United States of America; Department of Urology, Hangzhou Traditional Chinese Medicine Hospital, Hangzhou, China
| | - Wenjun Chen
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Rongyue Teng
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wenhe Zhao
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lidan Jin
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jun Shen
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jianguo Shen
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yun Yen
- Department of Molecular Pharmacology, City of Hope Comprehensive Cancer Center, Duarte, CA, United States of America; Taipei Medical University, Taipei, Taiwan.
| | - Linbo Wang
- Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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New prognostic western score predicting survival after curative resection of gastric cancer. Updates Surg 2020; 72:1023-1030. [PMID: 32643010 DOI: 10.1007/s13304-020-00835-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 06/21/2020] [Indexed: 12/24/2022]
Abstract
The aim of our study was to develop a prognostic score for gastric cancer patients who underwent R0 resection with curative intent, to identify high-risk patients. Three thirty three patients curatively operated for gastric adenocarcinoma were enrolled in the study. To define our prognostic score pre-operative inflammation sieric markers such as neutrophil to lymphocytes ratio, platelet count, platelet to lymphocytes ratio, and other clinical pathological and surgical characteristics of our patients such as albumin preoperative level, CRP sieric level, hystological Lauren's subtype, tumor location, lymphonodal status were analyzed. Prognostic factors predicting OS were analyzed using Cox proportional hazards models and a prognostic score was built. 5Y-OS was 42% with a median survival of 41 months. The multivariate analysis identified four independent prognostic factors: preoperative albumin level (HR 2.5), preoperative N/L ratio (HR 2.4), Diffuse Lauren histological subtype (HR 1.5) and TNM stage III and IV (HR 1.2). According to the relative risk of each variable we construct a prognostic score and validated it internally. Four risk classes were built and patients were statistically different stratifying according to them. More important the stratification was maintained also when patients were subdivided according to the pathological stage. In summary, we were able to construct a prognostic score that could be easily used in all the clinical contests, being it cheap and prompt. Our results, however, need to be externally validated, by a major center to be introduced into the clinical practice.
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Ahn HS, Kim JH, Jeong H, Yu J, Yeom J, Song SH, Kim SS, Kim IJ, Kim K. Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction. Int J Mol Sci 2020; 21:ijms21124236. [PMID: 32545899 PMCID: PMC7352871 DOI: 10.3390/ijms21124236] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/05/2020] [Accepted: 06/12/2020] [Indexed: 12/28/2022] Open
Abstract
Renal dysfunction, a major complication of type 2 diabetes, can be predicted from estimated glomerular filtration rate (eGFR) and protein markers such as albumin concentration. Urinary protein biomarkers may be used to monitor or predict patient status. Urine samples were selected from patients enrolled in the retrospective diabetic kidney disease (DKD) study, including 35 with good and 19 with poor prognosis. After removal of albumin and immunoglobulin, the remaining proteins were reduced, alkylated, digested, and analyzed qualitatively and quantitatively with a nano LC-MS platform. Each protein was identified, and its concentration normalized to that of creatinine. A prognostic model of DKD was formulated based on the adjusted quantities of each protein in the two groups. Of 1296 proteins identified in the 54 urine samples, 66 were differentially abundant in the two groups (area under the curve (AUC): p-value < 0.05), but none showed significantly better performance than albumin. To improve the predictive power by multivariate analysis, five proteins (ACP2, CTSA, GM2A, MUC1, and SPARCL1) were selected as significant by an AUC-based random forest method. The application of two classifiers—support vector machine and random forest—showed that the multivariate model performed better than univariate analysis of mucin-1 (AUC: 0.935 vs. 0.791) and albumin (AUC: 1.0 vs. 0.722). The urinary proteome can reflect kidney function directly and can predict the prognosis of patients with chronic kidney dysfunction. Classification based on five urinary proteins may better predict the prognosis of DKD patients than urinary albumin concentration or eGFR.
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Affiliation(s)
- Hee-Sung Ahn
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea; (H.-S.A.); (J.Y.)
| | - Jong Ho Kim
- Department of Internal Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (J.H.K.); (S.H.S.); (S.S.K.)
| | - Hwangkyo Jeong
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, Korea;
| | - Jiyoung Yu
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea; (H.-S.A.); (J.Y.)
| | - Jeonghun Yeom
- Convergence Medicine Research Center, Asan Institute for Life Sciences, Seoul 05505, Korea;
| | - Sang Heon Song
- Department of Internal Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (J.H.K.); (S.H.S.); (S.S.K.)
| | - Sang Soo Kim
- Department of Internal Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (J.H.K.); (S.H.S.); (S.S.K.)
| | - In Joo Kim
- Department of Internal Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (J.H.K.); (S.H.S.); (S.S.K.)
- Correspondence: (I.J.K.); (K.K.); Tel.: +82-51-240-7224 (I.J.K.); +82-2-1688-7575 (K.K.)
| | - Kyunggon Kim
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, Korea; (H.-S.A.); (J.Y.)
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, Korea;
- Clinical Proteomics Core Laboratory, Convergence Medicine Research Center, Asan Medical Center, Seoul 05505, Korea
- Bio-Medical Institute of Technology, Asan Medical Center, Seoul 05505, Korea
- Correspondence: (I.J.K.); (K.K.); Tel.: +82-51-240-7224 (I.J.K.); +82-2-1688-7575 (K.K.)
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