Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review)
- Authors:
- Liqing Yu
- Zhenjun Huang
- Ziqi Xiao
- Xiaofu Tang
- Ziqiang Zeng
- Xiaoli Tang
- Wenhao Ouyang
-
Affiliations: Department of Medical Oncology, Sun Yat‑sen Memorial Hospital, Sun Yat‑sen University, Guangzhou, Guangdong 510120, P.R. China, The Second Clinical Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, Jiangxi 330006, P.R. China, School of Basic Medicine, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China - Published online on: March 5, 2024 https://doi.org/10.3892/or.2024.8719
- Article Number: 60
-
Copyright: © Yu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
This article is mentioned in:
Abstract
 |
 |
 |
|
Suhail Y, Cain MP, Vanaja K, Kurywchak PA, Levchenko A, Kalluri R and Kshitiz: Systems biology of cancer metastasis. Cell Syst. 9:109–127. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Steeg PS: Targeting metastasis. Nat Rev Cancer. 16:201–218. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Harper KL, Sosa MS, Entenberg D, Hosseini H, Cheung JF, Nobre R, Avivar-Valderas A, Nagi C, Girnius N, Davis RJ, et al: Mechanism of early dissemination and metastasis in Her2+ mammary cancer. Nature. 540:588–592. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Turajlic S and Swanton C: Metastasis as an evolutionary process. Science. 352:169–175. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Linde N, Casanova-Acebes M, Sosa MS, Mortha A, Rahman A, Farias E, Harper K, Tardio E, Reyes Torres I, Jones J, et al: Macrophages orchestrate breast cancer early dissemination and metastasis. Nat Commun. 9:212018. View Article : Google Scholar : PubMed/NCBI | |
|
Sosa MS, Bragado P and Aguirre-Ghiso JA: Mechanisms of disseminated cancer cell dormancy: An awakening field. Nat Rev Cancer. 14:611–622. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Seyfried TN and Huysentruyt LC: On the origin of cancer metastasis. Crit Rev Oncog. 18:43–73. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Fidler IJ: The pathogenesis of cancer metastasis: The ‘seed and soil’ hypothesis revisited. Nat Rev Cancer. 3:453–458. 2003. View Article : Google Scholar : PubMed/NCBI | |
|
Pavlidis N, Khaled H and Gaafar R: A mini review on cancer of unknown primary site: A clinical puzzle for the oncologists. J Adv Res. 6:375–382. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Klein CA, Blankenstein TJ, Schmidt-Kittler O, Petronio M, Polzer B, Stoecklein NH and Riethmüller G: Genetic heterogeneity of single disseminated tumour cells in minimal residual cancer. Lancet. 360:683–689. 2002. View Article : Google Scholar : PubMed/NCBI | |
|
Gianni L, Dafni U, Gelber RD, Azambuja E, Muehlbauer S, Goldhirsch A, Untch M, Smith I, Baselga J, Jackisch C, et al: Treatment with trastuzumab for 1 year after adjuvant chemotherapy in patients with HER2-positive early breast cancer: A 4-year follow-up of a randomised controlled trial. Lancet Oncol. 12:236–244. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Bacac M and Stamenkovic I: Metastatic cancer cell. Annu Rev Pathol. 3:221–247. 2008. View Article : Google Scholar : PubMed/NCBI | |
|
Sanger N, Effenberger KE, Riethdorf S, Van Haasteren V, Gauwerky J, Wiegratz I, Strebhardt K, Kaufmann M and Pantel K: Disseminated tumor cells in the bone marrow of patients with ductal carcinoma in situ. Int J Cancer. 129:2522–2526. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Husemann Y, Geigl JB, Schubert F, Musiani P, Meyer M, Burghart E, Forni G, Eils R, Fehm T, Riethmüller G and Klein CA: Systemic spread is an early step in breast cancer. Cancer Cell. 13:58–68. 2008. View Article : Google Scholar : PubMed/NCBI | |
|
Hosseini H, Obradovic MMS, Hoffmann M, Harper KL, Sosa MS, Werner-Klein M, Nanduri LK, Werno C, Ehrl C, Maneck M, et al: Early dissemination seeds metastasis in breast cancer. Nature. 540:552–558. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Aguirre-Ghiso JA, Bragado P and Sosa MS: Metastasis awakening: Targeting dormant cancer. Nat Med. 19:276–277. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Polzer B and Klein CA: Metastasis awakening: The challenges of targeting minimal residual cancer. Nat Med. 19:274–275. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Gu W, Hu M, Wang W, Shi C and Mei J: Development and validation of a novel nomogram for predicting tumor-distant-metastasis in patients with Early T1-2 stage lung adenocarcinoma. Ther Clin Risk Manag. 16:1213–1225. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Zhao YX, Liu YR, Xie S, Jiang YZ and Shao ZM: A nomogram predicting lymph node metastasis in T1 breast cancer based on the surveillance, epidemiology, and end results program. J Cancer. 10:2443–2449. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Zhu J, Zheng J, Li L, Huang R, Ren H, Wang D, Dai Z and Su X: Application of machine learning algorithms to predict central lymph node metastasis in T1-T2, Non-invasive, and clinically node negative papillary thyroid carcinoma. Front Med (Lausanne). 8:6357712021. View Article : Google Scholar : PubMed/NCBI | |
|
Cai YL, Lin YX, Jiang LS, Ye H, Li FY and Cheng NS: A Novel nomogram predicting distant metastasis in T1 and T2 gallbladder cancer: A SEER-based study. Int J Med Sci. 17:1704–1712. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Ou N, Song Y, Liu M, Zhu J, Yang Y and Liu X: Development and validation of a nomogram to predict lymph node metastasis in patients with T1 High-grade urothelial carcinoma of the bladder. Front Oncol. 10:5329242020. View Article : Google Scholar : PubMed/NCBI | |
|
Yu J, Hu W, Yao N, Sun M, Li X, Wang L, Yang Y and Li B: Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis. Transl Oncol. 14:1011272021. View Article : Google Scholar : PubMed/NCBI | |
|
Mo S, Zhou Z, Dai W, Xiang W, Han L, Zhang L, Wang R, Cai S, Li Q and Cai G: Development and external validation of a predictive scoring system associated with metastasis of T1-2 colorectal tumors to lymph nodes. Clin Transl Med. 10:275–287. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Guo K, Feng Y, Yuan L, Wasan HS, Sun L, Shen M and Ruan S: Risk factors and predictors of lymph nodes metastasis and distant metastasis in newly diagnosed T1 colorectal cancer. Cancer Med. 9:5095–5113. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Fong Y, Jarnagin W and Blumgart LH: Gallbladder cancer: Comparison of patients presenting initially for definitive operation with those presenting after prior noncurative intervention. Ann Surg. 232:557–569. 2000. View Article : Google Scholar : PubMed/NCBI | |
|
Hu DY, Cao B, Li SH, Li P and Zhang ST: Incidence, risk factors, and a predictive model for lymph node metastasis of submucosal (T1) colon cancer: A population-based study. J Dig Dis. 20:288–293. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Wang J, Yang Y, Shafiulla Shaik M, Hu J, Wang K, Gao C, Shan T and Yin D: Three-Field versus Two-field lymphadenectomy for esophageal squamous cell carcinoma: A Meta-analysis. J Surg Res. 255:195–204. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Tang CT and Chen SH: Higher lymph node metastasis rate and poorer prognosis of intestinal-type gastric cancer compared to diffuse-type gastric cancer in early-onset early-stage gastric cancer: A retrospective study. Front Med. 8:7589772021. View Article : Google Scholar : PubMed/NCBI | |
|
He C, Zhong L, Zhang Y, Cai Z and Lin X: Development and validation of a nomogram to predict liver metastasis in patients with pancreatic ductal adenocarcinoma: A large cohort study. Cancer Manag Res. 11:3981–3991. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Blandin Knight S, Crosbie PA, Balata H, Chudziak J, Hussell T and Dive C: Progress and prospects of early detection in lung cancer. Open Biol. 7:1700702017. View Article : Google Scholar : PubMed/NCBI | |
|
Joyner AB and Runowicz CD: Ovarian cancer screening and early detection. Womens Health (Lond). 5:693–699. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Zhou QP, Ge YH and Liu CY: Comparison of metastasis between early-onset and late-onset gastric signet ring cell carcinoma. BMC Gastroenterol. 20:1–12. 2020. View Article : Google Scholar | |
|
Rohlfing ML, Mays AC, Isom S and Waltonen JD: Insurance status as a predictor of mortality in patients undergoing head and neck cancer surgery. Laryngoscope. 127:2784–2789. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Chang JW, Kuo WH, Lin CM, Chen WL, Chan SH, Chiu MF, Chang IS, Jiang SS, Tsai FY, Chen CH, et al: Wild-type p53 upregulates an early onset breast cancer-associated gene GAS7 to suppress metastasis via GAS7-CYFIP1-mediated signaling pathway. Oncogene. 37:4137–4150. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Chalmers ZR, Burns MC, Ebot EM, Frampton GM, Ross JS, Hussain MHA and Abdulkadir SA: Early-onset metastatic and clinically advanced prostate cancer is a distinct clinical and molecular entity characterized by increased TMPRSS2-ERG fusions. Prostate Cancer Prostatic Dis. 24:558–566. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Freire MV, Martin M, Thissen R, Van Marcke C, Segers K, Sépulchre E, Leroi N, Lété C, Fasquelle C, Radermacher J, et al: Case report series: Aggressive HR deficient colorectal cancers related to BRCA1 pathogenic ger1. Suhail Y, Cain MP, Vanaja K, Kurywchak PA, Levchenko A, Kalluri R and Kshitiz: Systems biology of cancer metastasis. Cell Syst. 9:109–127. 2019. View Article : Google Scholar | |
|
Ashour Badawy A, Khedr G, Omar A, Bae S, Arafat W and Grant S: Site of metastases as prognostic factors in unselected population of Stage IV Non-small cell lung cancer. Asian Pac J Cancer Prev. 19:1907–1910. 2018.PubMed/NCBI | |
|
Goldstraw P, Chansky K, Crowley J, Rami-Porta R, Asamura H, Eberhardt WE, Nicholson AG, Groome P, Mitchell A, Bolejack V, et al: The IASLC lung cancer staging project: Proposals for revision of the TNM stage groupings in the forthcoming (Eighth) edition of the TNM classification for lung cancer. J Thorac Oncol. 11:39–51. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Sun ZQ, Ma S, Zhou QB, Yang SX, Chang Y, Zeng XY, Ren WG, Han FH, Xie X, Zeng FY, et al: Prognostic value of lymph node metastasis in patients with T1-stage colorectal cancer from multiple centers in China. World J Gastroenterol. 23:8582–8590. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Joo YH, Hwang SH, Sun DI, Cho KJ, Park JO and Kim MS: Relationships between tumor volume and lymphatic metastasis and prognosis in early oral tongue cancer. Clin Exp Otorhinolaryngol. 6:243–248. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Mu J, Jia Z, Yao W, Song J, Cao X, Jiang J and Wang Q: Predicting lymph node metastasis in early gastric cancer patients: Development and validation of a model. Future Oncol. 15:3609–3617. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Yan Y, Liu H, Mao K, Zhang M, Zhou Q, Yu W, Shi B, Wang J and Xiao Z: Novel nomograms to predict lymph node metastasis and liver metastasis in patients with early colon carcinoma. J Transl Med. 17:1932019. View Article : Google Scholar : PubMed/NCBI | |
|
Wu K, Yang X, Li L, Ruan M, Liu W, Lu W, Zhang C and Li S: Neurovascular invasion and histological grade serve as the risk factors of cervical lymph node metastases in early tongue squamous cell carcinoma. Mol Neurobiol. 53:2920–2926. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Butte JM, Gönen M, Allen PJ, D'Angelica MI, Kingham TP, Fong Y, Dematteo RP, Blumgart L and Jarnagin WR: The role of laparoscopic staging in patients with incidental gallbladder cancer. HPB (Oxford). 13:463–472. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Kuperman DI, Auethavekiat V, Adkins DR, Nussenbaum B, Collins S, Boonchalermvichian C, Trinkaus K, Chen L and Morgensztern D: Squamous cell cancer of the head and neck with distant metastasis at presentation. Head Neck. 33:714–718. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Lyman GH, Giuliano AE, Somerfield MR, Benson AB III, Bodurka DC, Burstein HJ, Cochran AJ, Cody HS III, Edge SB, Galper S, et al: American Society of Clinical Oncology guideline recommendations for sentinel lymph node biopsy in early-stage breast cancer. J Clin Oncol. 23:7703–7720. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Sekiguchi M, Oda I, Taniguchi H, Suzuki H, Morita S, Fukagawa T, Sekine S, Kushima R and Katai H: Risk stratification and predictive risk-scoring model for lymph node metastasis in early gastric cancer. J Gastroenterol. 51:961–970. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Kim SM, Lee H, Min BH, Kim JJ, An JY, Choi MG, Bae JM, Kim S, Sohn TS and Lee JH: A prediction model for lymph node metastasis in early-stage gastric cancer: Toward tailored lymphadenectomy. J Surg Oncol. 120:670–675. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Yin XY, Pang T, Liu Y, Cui HT, Luo TH, Lu ZM, Xue XC and Fang GE: Development and validation of a nomogram for preoperative prediction of lymph node metastasis in early gastric cancer. World J Surg Oncol. 18:22020. View Article : Google Scholar : PubMed/NCBI | |
|
Meng L, Thapa R, Delgado MG, Gomez MF, Ji R, Knepper TC, Hubbard JM, Wang X, Permuth JB, Kim RD, et al: Association of age with treatment-related adverse events and survival in patients with metastatic colorectal cancer. JAMA Netw Open. 6:e2320035. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Drabarek W, van Riet J, Nguyen JQ, Smit KN, van Poppelen NM, Jansen R, Medico-Salsench E, Vaarwater J, Magielsen FJ, Brands T, et al: Identification of early-onset metastasis in SF3B1 mutated uveal melanoma. Cancers. 14:8462022. View Article : Google Scholar : PubMed/NCBI | |
|
Penney ME, Parfrey PS, Savas S and Yilmaz YE: A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer. BMC Cancer. 19:1–12. 2019. View Article : Google Scholar | |
|
Kishida Y, Oishi T, Sugino T, Shiomi A, Urakami K, Kusuhara M, Yamaguchi K, Kitagawa Y and Ono H: Associations between loss of ARID1A expression and clinicopathologic and genetic variables in T1 early colorectal cancer. Am J Clin Pathol. 152:463–470. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Kyrochristos ID, Ziogas DE, Goussia A, Glantzounis GK and Roukos DH: Bulk and single-cell next-generation sequencing: Individualizing treatment for colorectal cancer. Cancers (Basel). 11:18092019. View Article : Google Scholar : PubMed/NCBI | |
|
Wen T, Ehivet F, Stanislaw C, Mao R and Hegde M: Hereditary colorectal cancer diagnosis by next-generation sequencing. Curr Protoc. 3:e9412023. View Article : Google Scholar : PubMed/NCBI | |
|
Poliani L, Greco L, Barile M, Dal Buono A, Bianchi P, Basso G, Giatti V, Genuardi M, Malesci A and Laghi L; Alliance Against Cancer, : Canonical and uncanonical pathogenic germline variants in colorectal cancer patients by next-generation sequencing in a European referral center. ESMO Open. 7:1006072022. View Article : Google Scholar : PubMed/NCBI | |
|
Wang Y, Yang L, Bao H, Fan X, Xia F, Wan J, Shen L, Guan Y, Bao H, Wu X, et al: Utility of ctDNA in predicting response to neoadjuvant chemoradiotherapy and prognosis assessment in locally advanced rectal cancer: A prospective cohort study. PLoS Med. 18:e10037412021. View Article : Google Scholar : PubMed/NCBI | |
|
Chen YH, Chen YF, Chen CY, Shih JY and Yu CJ: Clinical factors associated with treatment outcomes in EGFR mutant non-small cell lung cancer patients with brain metastases: A case-control observational study. BMC Cancer. 19:10062019. View Article : Google Scholar : PubMed/NCBI | |
|
Yang Q, Zhang P, Wu R, Lu K and Zhou H: Identifying the best marker combination in CEA, CA125, CY211, NSE, and SCC for lung cancer screening by combining ROC curve and logistic regression analyses: Is it feasible? Dis Markers. 2018:20828402018. View Article : Google Scholar : PubMed/NCBI | |
|
Pang W, Lou N, Jin C, Hu C, Arvine C, Zhu G and Shen X: Combination of preoperative platelet/lymphocyte and neutrophil/lymphocyte rates and tumor-related factors to predict lymph node metastasis in patients with gastric cancer. Eur J Gastroenterol Hepatol. 28:493–502. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Xiang J, Zhou L, Li X, Bao W, Chen T, Xi X, He Y and Wan X: Preoperative Monocyte-to-Lymphocyte ratio in peripheral blood predicts stages, metastasis, and histological grades in patients with ovarian cancer. Transl Oncol. 10:33–39. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Dong T, Liu Z, Xuan Q, Wang Z, Ma W and Zhang Q: Tumor LDH-A expression and serum LDH status are two metabolic predictors for triple negative breast cancer brain metastasis. Sci Rep. 7:60692017. View Article : Google Scholar : PubMed/NCBI | |
|
Ouyang W, Jiang Y, Bu S, Tang T, Huang L, Chen M, Tan Y, Ou Q, Mao L, Mai Y, et al: A prognostic risk score based on Hypoxia-, Immunity-, and Epithelialto-mesenchymal transition-related genes for the prognosis and immunotherapy response of lung adenocarcinoma. Front Cell Dev Biol. 9:7587772021. View Article : Google Scholar : PubMed/NCBI | |
|
Zheng S, Chen L, Wang J, Wang H, Hu Z, Li W, Xu C, Ma M, Wang B, Huang Y, et al: A clinical prediction model for lung metastasis risk in osteosarcoma: A multicenter retrospective study. Front Oncol. 13:10012192023. View Article : Google Scholar : PubMed/NCBI | |
|
Wu XY, Li B, Zhang J, Duan LL, Hu BX and Gao YJ: Analysis of the clinical factors affecting excellent response of Iodine-131 treatment for pulmonary metastases from differentiated thyroid cancer. Heliyon. 9:e208532023. View Article : Google Scholar : PubMed/NCBI | |
|
Wu Q, Jiang S, Cheng T, Xu M and Lu B: A novel pyroptosis-related prognostic model for hepatocellular carcinoma. Front Cell Dev Biol. 9:7703012021. View Article : Google Scholar : PubMed/NCBI | |
|
Kiss B, Thoeny HC and Studer UE: Current status of lymph node imaging in bladder and prostate cancer. Urology. 96:1–7. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Brunocilla E, Ceci F, Schiavina R, Castellucci P, Maffione AM, Cevenini M, Bianchi L, Borghesi M, Giunchi F, Fiorentino M, et al: Diagnostic accuracy of (11)C-choline PET/CT in preoperative lymph node staging of bladder cancer: A systematic comparison with contrast-enhanced CT and histologic findings. Clin Nucl Med. 39:e308–e312. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Ghafoor S, Burger IA and Vargas AH: Multimodality imaging of prostate cancer. J Nucl Med. 60:1350–1358. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Nanni C, Schiavina R, Boschi S, Ambrosini V, Pettinato C, Brunocilla E, Martorana G and Fanti S: Comparison of 18F-FACBC and 11C-choline PET/CT in patients with radically treated prostate cancer and biochemical relapse: Preliminary results. Eur J Nucl Med Mol Imaging. 40 (Suppl 1):S11–S17. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Garcia Garzon JR, de Arcocha Torres M, Delgado-Bolton R, Ceci F, Alvarez Ruiz S, Orcajo Rincón J, Caresia Aróztegui AP, García Velloso MJ, García Vicente AM; Oncology Task Force of Spanish Society of Nuclear Medicine, ; Molecular Imaging: 68Ga-PSMA PET/CT in prostate cancer. Rev Esp Med Nucl Imagen Mol (Engl Ed). 37:130–138. 2018.PubMed/NCBI | |
|
Hodolic M: Role of (18)F-choline PET/CT in evaluation of patients with prostate carcinoma. Radiol Oncol. 45:17–21. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Kumar V, Gu Y, Basu S, Berglund A, Eschrich SA, Schabath MB, Forster K, Aerts HJ, Dekker A, Fenstermacher D, et al: Radiomics: The process and the challenges. Magn Reson Imaging. 30:1234–1248. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Gillies RJ, Kinahan PE and Hricak H: Radiomics: Images are more than pictures, they are data. Radiology. 278:563–577. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Birkhauser FD, Studer UE, Froehlich JM, Triantafyllou M, Bains LJ, Petralia G, Vermathen P, Fleischmann A and Thoeny HC: Combined ultrasmall superparamagnetic particles of iron oxide-enhanced and diffusion-weighted magnetic resonance imaging facilitates detection of metastases in normal-sized pelvic lymph nodes of patients with bladder and prostate cancer. Eur Urol. 64:953–960. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Zhu C, You Y, Liu S, Ji Y and Yu J: A nomogram to predict distant metastasis for patients with esophageal cancer. Oncol Res Treat. 43:2–9. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Eastham JA, Kattan MW and Scardino PT: Nomograms as predictive models. Semin Urol Oncol. 20:108–115. 2002. View Article : Google Scholar : PubMed/NCBI | |
|
Kourou K, Exarchos TP, Exarchos KP, Karamouzis MV and Fotiadis DI: Machine learning applications in cancer prognosis and prediction. Comput Struct Biotechnol J. 13:8–17. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Bur AM, Shew M and New J: Artificial intelligence for the otolaryngologist: A state of the art review. Otolaryngol Head Neck Surg. 160:603–611. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Elfiky AA, Pany MJ, Parikh RB and Obermeyer Z: Development and application of a machine learning approach to assess Short-term mortality risk among patients with cancer starting chemotherapy. JAMA Netw Open. 1:e1809262018. View Article : Google Scholar : PubMed/NCBI | |
|
Bur AM, Holcomb A, Goodwin S, Woodroof J, Karadaghy O, Shnayder Y, Kakarala K, Brant J and Shew M: Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma. Oral Oncol. 92:20–25. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Obermeyer Z and Emanuel EJ: Predicting the Future-Big data, machine learning, and clinical medicine. N Engl J Med. 375:1216–1219. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Sidey-Gibbons JAM and Sidey-Gibbons CJ: Machine learning in medicine: A practical introduction. BMC Med Res Methodol. 19:642019. View Article : Google Scholar : PubMed/NCBI | |
|
Yan L, Yao H, Long R, Wu L, Xia H, Li J, Liu Z and Liang C: A preoperative radiomics model for the identification of lymph node metastasis in patients with early-stage cervical squamous cell carcinoma. Br J Radiol. 93:202003582020. View Article : Google Scholar : PubMed/NCBI | |
|
Chang SC, Liew PL, Ansar M, Lin SY, Wang SC, Hung CS, Chen JY, Jain S and Lin RK: Hypermethylation and decreased expression of TMEM240 are potential early-onset biomarkers for colorectal cancer detection, poor prognosis, and early recurrence prediction. Clin Epigenetics. 12:672020. View Article : Google Scholar : PubMed/NCBI | |
|
Wei W, Zhao W and Zhang Y: CBX4 provides an alternate mode of colon cancer development via potential influences on circadian rhythm and immune infiltration. Front Cell Dev Biol. 9:6692542021. View Article : Google Scholar : PubMed/NCBI | |
|
Woo S, Suh CH, Kim SY, Cho JY and Kim SH: The diagnostic performance of MRI for detection of lymph node metastasis in bladder and prostate cancer: An updated systematic review and diagnostic meta-analysis. AJR Am J Roentgenol. 210:W95–W109. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang X, Liu M, Ren W, Sun J, Wang K, Xi X and Zhang G: Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model. Front Oncol. 12:10697332022. View Article : Google Scholar : PubMed/NCBI | |
|
Dong X, Ren G, Chen Y, Yong H, Zhang T, Yin Q, Zhang Z, Yuan S, Ge Y, Duan S, et al: Effects of MRI radiomics combined with clinical data in evaluating lymph node metastasis in mrT1-3a staging rectal cancer. Front Oncol. 13:11941202023. View Article : Google Scholar : PubMed/NCBI | |
|
Lv B, Cheng X, Cheng Y, Kong X and Jin E: Predictive value of MRI-detected tumor deposits in locally advanced rectal cancer. Front Oncol. 13:11535662023. View Article : Google Scholar : PubMed/NCBI | |
|
Li H, Tang L, Chen Y, Mao L, Xie H, Wang S and Guan X: Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer. Gland Surg. 10:901–913. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Wo JY, Chen K, Neville BA, Lin NU and Punglia RS: Effect of very small tumor size on cancer-specific mortality in node-positive breast cancer. J Clin Oncol. 29:2619–2627. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Wang X, Yu GY, Chen M, Wei R, Chen J and Wang Z: Pattern of distant metastases in primary extrahepatic bile-duct cancer: A SEER-based study. Cancer Med. 7:5006–5014. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Rahman R, Simoes EJ, Schmaltz C, Jackson CS and Ibdah JA: Trend analysis and survival of primary gallbladder cancer in the United States: A 1973–2009 population-based study. Cancer Med. 6:874–880. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Ahn JH, Kwak MS, Lee HH, Cha JM, Shin HP, Jeon JW and Yoon JY: Development of a novel prognostic model for predicting lymph node metastasis in early colorectal cancer: Analysis based on the surveillance, epidemiology, and end results database. Front Oncol. 11:6143982021. View Article : Google Scholar : PubMed/NCBI | |
|
Fang X, Wei J, He X, An P, Wang H, Jiang L, Shao D, Liang H, Li Y, Wang F and Min J: Landscape of dietary factors associated with risk of gastric cancer: A systematic review and dose-response meta-analysis of prospective cohort studies. Eur J Cancer. 51:2820–2832. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Sakaguchi T, Watanabe A, Sawada H, Yamada Y, Tatsumi M, Fujimoto H, Emoto K and Nakano H: Characteristics and clinical outcome of proximal-third gastric cancer. J Am Coll Surg. 187:352–357. 1998. View Article : Google Scholar : PubMed/NCBI | |
|
Wu J, Chen QX, Shen DJ and Zhao Q: A prediction model for lymph node metastasis in T1 esophageal squamous cell carcinoma. J Thorac Cardiovasc Surg. 155:1902–1908. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Tian D, Jiang KY, Huang H, Jian SH, Zheng YB, Guo XG, Li HY, Zhang JQ, Guo KX and Wen HY: Clinical nomogram for lymph node metastasis in pathological T1 esophageal squamous cell carcinoma: A multicenter retrospective study. Ann Transl Med. 8:2922020. View Article : Google Scholar : PubMed/NCBI | |
|
D'Journo XB: Clinical implication of the innovations of the 8th edition of the TNM classification for esophageal and esophago-gastric cancer. J Thorac Dis. 10 (Suppl 22):S2671–S2681. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Wu SG, Zhang WW, Sun JY, Li FY, Lin Q and He ZY: Patterns of distant metastasis between histological types in esophageal cancer. Front Oncol. 8:3022018. View Article : Google Scholar : PubMed/NCBI | |
|
Wu Y, Liu J, Han C, Chong Y, Wang Z, Gong L, Zhang J, Gao X, Guo C, Liang N and Li S: Preoperative prediction of lymph node metastasis in patients with Early-T-Stage Non-small cell lung cancer by machine learning algorithms. Front Oncol. 10:7432020. View Article : Google Scholar : PubMed/NCBI | |
|
Krag DN, Anderson SJ, Julian TB, Brown AM, Harlow SP, Ashikaga T, Weaver DL, Miller BJ, Jalovec LM, Frazier TG, et al: Technical outcomes of sentinel-lymph-node resection and conventional axillary-lymph-node dissection in patients with clinically node-negative breast cancer: Results from the NSABP B-32 randomised phase III trial. Lancet Oncol. 8:881–888. 2007. View Article : Google Scholar : PubMed/NCBI | |
|
Lyman GH, Temin S, Edge SB, Newman LA, Turner RR, Weaver DL, Benson AB III, Bosserman LD, Burstein HJ, Cody H III, et al: Sentinel lymph node biopsy for patients with early-stage breast cancer: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol. 32:1365–1383. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Kang J, Choi YJ, Kim IK, Lee HS, Kim H, Baik SH, Kim NK and Lee KY: LASSO-based machine learning algorithm for prediction of lymph node metastasis in T1 colorectal cancer. Cancer Res Treat. 53:773–783. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Kudo SE, Ichimasa K, Villard B, Mori Y, Misawa M, Saito S, Hotta K, Saito Y, Matsuda T, Yamada K, et al: Artificial intelligence system to determine risk of T1 colorectal cancer metastasis to lymph node. Gastroenterology. 160:1075–1084.e2. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
De Herdt MJ, van der Steen B, van der Toom QM, Aaboubout Y, Willems SM, Wieringa MH, Baatenburg de Jong RJ, Looijenga LHJ, Koljenović S and Hardillo JA: The potential of MET immunoreactivity for prediction of lymph node metastasis in early oral tongue squamous cell carcinoma. Front Oncol. 11:6380482021. View Article : Google Scholar : PubMed/NCBI | |
|
Shan J, Jiang R, Chen X, Zhong Y, Zhang W, Xie L, Cheng J and Jiang H: Machine learning predicts lymph node metastasis in Early-stage oral tongue squamous cell carcinoma. J Oral Maxillofac Surg. 78:2208–2218. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Lee SM, Tsui SK, Chan KK, Garcia-Barcelo M, Waye MM, Fung KP, Liew CC and Lee CY: Chromosomal mapping, tissue distribution and cDNA sequence of four-and-a-half LIM domain protein 1 (FHL1). Gene. 216:163–170. 1998. View Article : Google Scholar : PubMed/NCBI | |
|
Tian Y, He Y, Li X and Liu X: Novel nomograms to predict lymph node metastasis and distant metastasis in resected patients with early-stage non-small cell lung cancer. Ann Palliat Med. 10:2548–2566. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang B, Tian J, Pei S, Chen Y, He X, Dong Y, Zhang L, Mo X, Huang W, Cong S and Zhang S: Machine Learning-assisted system for thyroid nodule diagnosis. Thyroid. 29:858–867. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Zhao HN, Liu JY, Lin QZ, He YS, Luo HH, Peng YL and Ma BY: Partially cystic thyroid cancer on conventional and elastographic ultrasound: A retrospective study and a machine learning-assisted system. Ann Transl Med. 8:4952020. View Article : Google Scholar : PubMed/NCBI | |
|
Kang S, Kang WD, Chung HH, Jeong DH, Seo SS, Lee JM, Lee JK, Kim JW, Kim SM, Park SY and Kim KT: Preoperative identification of a low-risk group for lymph node metastasis in endometrial cancer: A Korean gynecologic oncology group study. J Clin Oncol. 30:1329–1334. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Koh WJ, Abu-Rustum NR, Bean S, Bradley K, Campos SM, Cho KR, Chon HS, Chu C, Cohn D, Crispens MA, et al: Uterine neoplasms, version 1.2018, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 16:170–199. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Huang CY, Liao KW, Chou CH, Shrestha S, Yang CD, Chiew MY, Huang HT, Hong HC, Huang SH, Chang TH and Huang HD: Pilot study to establish a novel Five-gene biomarker panel for predicting lymph node metastasis in patients with early stage endometrial cancer. Front Oncol. 9:15082019. View Article : Google Scholar : PubMed/NCBI | |
|
Kan Y, Dong D, Zhang Y, Jiang W, Zhao N, Han L, Fang M, Zang Y, Hu C, Tian J, et al: Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer. J Magn Reson Imaging. 49:304–310. 2019. View Article : Google Scholar : PubMed/NCBI |
