北京大学学报(医学版) ›› 2022, Vol. 54 ›› Issue (5): 810-813. doi: 10.19723/j.issn.1671-167X.2022.05.005
杨 柯*(),敏敏 王,萌飞 刘,芳芳 刘,英 刘,忠虎 何*(
)
中图分类号:
1 |
Arya SK , Bhansali S . Lung cancer and its early detection using biomarker-based biosensors[J]. Chem Rev, 2011, 111 (11): 6783- 6809.
doi: 10.1021/cr100420s |
2 |
Li W , Li C , Zhou T , et al. Role of exosomal proteins in cancer diagnosis[J]. Mol Cancer, 2017, 16 (1): 145.
doi: 10.1186/s12943-017-0706-8 |
3 |
Seijo LM , Peled N , Ajona D , et al. Biomarkers in lung cancer screening: achievements, promises, and challenges[J]. J Thorac Oncol, 2019, 14 (3): 343- 357.
doi: 10.1016/j.jtho.2018.11.023 |
4 |
Li L , Choi JY , Lee KM , et al. DNA methylation in peripheral blood: A potential biomarker for cancer molecular epidemiology[J]. J Epidemiol, 2012, 22 (5): 384- 394.
doi: 10.2188/jea.JE20120003 |
5 |
Anindo MI , Yaqinuddin A . Insights into the potential use of microRNAs as biomarker in cancer[J]. Int J Surg, 2012, 10 (9): 443- 449.
doi: 10.1016/j.ijsu.2012.08.006 |
6 |
Issaq HJ , Fox SD , Chan KC , et al. Global proteomics and metabolomics in cancer biomarker discovery[J]. J Sep Sci, 2011, 34 (24): 3484- 3492.
doi: 10.1002/jssc.201100528 |
7 |
Goto M , Liu M . Chemokines and their receptors as biomarkers in esophageal cancer[J]. Esophagus, 2020, 17 (2): 113- 121.
doi: 10.1007/s10388-019-00706-8 |
8 |
Yazbeck R , Jaenisch SE , Watson DI . From blood to breath: New horizons for esophageal cancer biomarkers[J]. World J Gastroenterol, 2016, 22 (46): 10077- 10083.
doi: 10.3748/wjg.v22.i46.10077 |
9 |
Sharma P , Sharma R . miRNA-mRNA crosstalk in esophageal cancer: From diagnosis to therapy[J]. Crit Rev Oncol Hematol, 2015, 96 (3): 449- 462.
doi: 10.1016/j.critrevonc.2015.07.002 |
10 |
Hayes DF . Defining clinical utility of tumor biomarker tests: A clinician's viewpoint[J]. J Clin Oncol, 2021, 39 (3): 238- 248.
doi: 10.1200/JCO.20.01572 |
11 |
Oon SF , Pennington SR , Fitzpatrick JM , et al. Biomarker research in prostate cancer: Towards utility, not futility[J]. Nat Rev Urol, 2011, 8 (3): 131- 138.
doi: 10.1038/nrurol.2011.11 |
12 |
Kern SE . Why your new cancer biomarker may never work: Recurrent patterns and remarkable diversity in biomarker failures[J]. Cancer Res, 2012, 72 (23): 6097- 6101.
doi: 10.1158/0008-5472.CAN-12-3232 |
13 | Diamandis EP. The failure of protein cancer biomarkers to reach the clinic: Why, and what can be done to address the problem[J/OL]. BMC Med, 2012, 10: 87(2012-08-09)[2022-06-01]. https://bmcmedicine.biomedcentral.com/articles/10.1186/1741-7015-10-87. |
14 |
He Z , Liu Z , Liu M , et al. Efficacy of endoscopic screening for esophageal cancer in China (ESECC): Design and preliminary results of a population-based randomised controlled trial[J]. Gut, 2019, 68 (2): 198- 206.
doi: 10.1136/gutjnl-2017-315520 |
15 |
Liu F , Guo F , Zhou Y , et al. The anyang esophageal cancer cohort study: Study design, implementation of fieldwork, and use of computer-aided survey system[J]. PLoS One, 2012, 7 (2): e31602.
doi: 10.1371/journal.pone.0031602 |
16 | Wang M, Liu F, Pan Y, et al. Tumor-associated autoantibodies in ESCC screening: Detecting prevalent early-stage malignancy or predicting future cancer risk[J/OL]. Ebiomedicine, 2021, 73: 103674[2022-06-01]. https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(21)00468-0/fulltext. |
17 | Liu M, Liu Y, Zhou R, et al. Absence of NOTCH1 mutation and presence of CDKN2A deletion predict progression of esophageal lesions[J/OL]. J Pathol, 2022(2022-05-25)[2022-06-01]. https://onlinelibrary.wiley.com/doi/10.1002/path.5970. |
18 |
Liu F , Liu M , Liu Y , et al. Oral microbiome and risk of malignant esophageal lesions in a high-risk area of China: A nested case-control study[J]. Chin J Cancer Res, 2020, 32 (6): 742- 754.
doi: 10.21147/j.issn.1000-9604.2020.06.07 |
19 |
Zeng H , Ran X , An L , et al. Disparities in stage at diagnosis for five common cancers in China: A multicentre, hospital-based, observational study[J]. Lancet Public Health, 2021, 6 (12): e877- e887.
doi: 10.1016/S2468-2667(21)00157-2 |
20 | Chen H, Knebel P, Brenner H. Empirical evaluation demonstrated importance of validating biomarkers for early detection of cancer in screening settings to limit the number of false-positive findings[J/OL]. J Clin Epidemiol, 2016, 75: 108-114[2022-06-01]. https://www.jclinepi.com/article/S0895-4356(16)00059-7/fulltext. |
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