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Original Research

Development and validation of a novel diagnostic model for assessing lung cancer metastasis in a Chinese population based on multicenter real-world data

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Pages 9213-9223 | Published online: 29 Oct 2019

References

  • Ettinger DS, Wood DE, Aisner DL, et al. Non-small cell lung cancer, version 5.2017, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2017;15:504–535.28404761
  • Scagliotti GV, Pastorino U, Vansteenkiste JF, et al. Randomized phase III study of surgery alone or surgery plus preoperative cisplatin and gemcitabine in stages IB to IIIA non-small-cell lung cancer. J Clin Oncol. 2012;30:172–178. doi:10.1200/JCO.2010.33.708922124104
  • Goldstraw P, Mitchell A, Bolejack V, et al. The IASLC lung cancer staging project: proposals for revision of the TNM stage grouping in forthcoming (Eighth) edition of the TNM classification for lung cancer. J Thorac Oncol. 2016;11(1):39–51. doi:10.1016/j.jtho.2015.09.00926762738
  • Howlander N, Noone AM, Krapcho M, et al. editors. Vintage 2009 Populations. National Cancer Institute. Bethesda, MD: SEER Cancer Statistics Review; 1975–2009 Available from: http://seer.cancer.gov/csr/1975_2009_pops09(2012). Accessed 909, 2019.
  • Vogel P, Daschner H, Lenz J, Schäfer R. Correlation of lymph node size and metastatic involvement of lymph nodes in bronchial cancer. J Langenbecks Arch Chir. 1990;.375:141–144. doi:10.1007/BF00206806
  • Silvestri GA, Gonzalez AV, Harris LJ, et al. Methods for staging non-small cell lung cancer: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. J Chest. 2013;143(5 Suppl):e211S–e250S. doi:10.1378/chest.12-2355
  • Detterbeck FC, Falen S, Rivera MP, Halle JS, Socinski MA. Seeking a home for a PET, part 1: defining the appropriate place for positron emission tomography imaging in the diagnosis of pulmonary nodules or masses. J Chest. 2004;125:2294–2299. doi:10.1378/chest.125.6.2294
  • Detterbeck FC, Falen S, Rivera MP, Halle JS, Socinski MA. Seeking a home for a PET, part 2: defining the appropriate place for positron emission tomography imaging in the staging of patients with suspected lung cancer. Chest. 2004;125:2300–2308. doi:10.1378/chest.125.6.230015189955
  • Rice SL, Friedman KP. Clinical PET-MR imaging in breast cancer and lung cancer. J PET Clin. 2016;11(4):387–402. doi:10.1016/j.cpet.2016.05.008
  • Diamandis EP, Hoffman BR, Sturgeon CM. National academy of clinical biochemistry laboratory medicine practice guidelines for the use of tumor markers. J Clin Chem. 2008;54(11):1935–1939. doi:10.1373/clinchem.2008.105494
  • Sturgeon CM, Hoffman BR, Diamandis EP; National Academy of Clinical Biochemistry. National Academy of Clinical Biochemistry Laboratory Medicine Practice Guidelines for use of tumor markers in clinical practice: quality requirements. Clin Chem. 2008;54(8):e1–e10. doi:10.1373/clinchem.2007.09414418606634
  • Sturgeon CM, Hoffman BR, Diamandis EP; National Academy of Clinical Biochemistry. National Academy of Clinical Biochemistry laboratory medicine practice guidelines for use of tumor markers in testicular, prostate, colorectal, breast, and ovarian cancers. Clin Chem. 2008;54(12):e11–79. doi:10.1373/clinchem.2008.10560119042984
  • Zeng Q, Liu M, Zhou N, Liu L, Song X. Serum human epididymis protein 4 (HE4) may be a better tumor marker in early lung cancer. J Clin Chim Acta. 2016;455:102–106. doi:10.1016/j.cca.2016.02.002
  • Huang W, Wu S, Lin Z, Chen P, Wu G. Evaluation of HE4 in the diagnosis and follow up of non-small cell lung cancers. J Clin Lab. 2017;63:461–467.
  • Wojcik E, Tarapacz J, Rychlik U, et al. Human epididymis protein 4 (HE4) in patients with small-cell lung cancer. J Clin Lab. 1625-32;62:2016.
  • Tozzoli R, Basso SM, D’Aurizio F, Metus P, Lumachi F. Evaluation of predictive value of pleural CEA in patients with pleural effusions and histological findings: a prospective study and literature review. J Clin Biochem. 2016;49:1227–1231. doi:10.1016/j.clinbiochem.2016.08.006
  • Chu XY, Hou XB, Song WA, Xue ZQ, Wang B, Zhang LB. Diagnostic values of SCC, CEA, Cyfra21-1 and NSE for lung cancer in patients with suspicious pulmonary masses: a single center analysis. J Cancer Biol Ther. 2011;11:995–1000. doi:10.4161/cbt.11.12.15526
  • Yang DW, Zhang Y, Hong QY, et al. Role of a serum-based biomarker panel in the early diagnosis of lung cancer for a cohort of high-risk patients. J Cancer. 2015;121:3113–3121. doi:10.1002/cncr.29551
  • Hui L, Rixv L, Xiuying Z. A system for tumor heterogeneity evaluation and diagnosis based on tumor markers measured routinely in the laboratory.J. Clin Biochem. 2015;.48:1241–1245. doi:10.1016/j.clinbiochem.2015.07.02726216289
  • Molina R, Marrades RM, Augé JM, et al. Assessment of a combined panel of six serum tumor markers for lung cancer. J Am J Respir Crit Care Med. 2016;193:427–437. doi:10.1164/rccm.201404-0603OC
  • Howlader N, Noone AM, Krapcho M, et al. eds. SEER Cancer Statistics Review. Bethesda, MD: National Cancer Institute; 1975-2014 Available from: https://seer.cancer.gov/csr/1975_2014(2017). Accessed 909, 2019.
  • Du Q, Yan C, Wu SG, et al. Development and validation of a novel diagnostic nomogram model based on tumor markers for assessing cancer risk of pulmonary lesions: A multicenter study in Chinese population. J Cancer Lett. 2018;420:236–241. doi:10.1016/j.canlet.2018.01.079
  • Horeweg N, de Koning HJ, Oudkerk M, et al. Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening. Lancet Oncol. 2014;15:1332–1341. doi:10.1016/S1470-2045(14)70389-425282285
  • Chen ZQ, Huang LS, Zhu B. Assessment of seven clinical tumor markers in diagnosis of non-small-cell lung cancer. J Dis Markers. 2018;2018:9845123.
  • Yang D, Zhang X, Powell CA, et al. Probability of cancer in high-risk patients predicted by the protein-based lung cancer biomarker panel in China: LCBP study. J Cancer. 2018;124:262–270.
  • Wang Y, Li J, Xia Y, et al. Prognostic nomogram for intrahepatic cholangiocarcinoma after partial hepatectomy. J Clin Oncol. 2013;31:1188–1195. doi:10.1200/JCO.2012.41.598423358969
  • Shariat SF, Capitanio U, Jeldres C, Karakiewicz PI. Can nomograms be superior to other prediction tools?J. BJU Int. 2009;103:492–495. doi:10.1111/j.1464-410X.2008.08073.x18990135
  • Dong F, Shen Y, Gao F, et al. Nomograms to predict individual prognosis of patients with primary small cell carcinoma of the bladder. J Cancer. 2018;9(7):1152–1164. doi:10.7150/jca.2334429675096
  • Lei Z, Li J, Wu D, et al. Nomogram for preoperative estimation of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma within the Milan criteria. J JAMA Surg. 2016;151:356–363. doi:10.1001/jamasurg.2015.4257
  • Kalemkerian GP, Gadgeel SM. Modern staging of small cell lung cancer. J Natl Compr Canc Netw. 2013;11:99–104.23307985
  • Mazumdar M, Glassman JR. Categorizing a prognostic variable: review of methods, code for easy implementation and applications to decision-making about cancer treatments. J Stat Med. 2000;19:113–132. doi:10.1002/(SICI)1097-0258(20000115)19:1<113::AID-SIM245>3.0.CO;2-O
  • Vickers AJEE. Decision curve analysis: a novel method for evaluating prediction models. J Med Decis Macking. 2006;26:565–574. doi:10.1177/0272989X06295361
  • Van Calster B, Wynants L, Verbeek JFM, et al. Reporting and interpreting decision curve analysis: a guide for investigators. J Eur Urol. 2018;74(6):796–804. doi:10.1016/j.eururo.2018.08.038