Severity of gastric intestinal metaplasia predicts the risk of gastric cancer: a prospective multicentre cohort study (GCEP)

Jonathan W J Lee, Feng Zhu, Supriya Srivastava, Stephen Kk Tsao, Christopher Khor, Khek Yu Ho, Kwong Ming Fock, Wee Chian Lim, Tiing Leong Ang, Wan Cheng Chow, Jimmy Bok Yan So, Calvin J Koh, Shijia Joy Chua, Andrew S Y Wong, Jaideepraj Rao, Lee Guan Lim, Khoon Lin Ling, Chung-King Chia, Choon Jin Ooi, Andrea Rajnakova, Wai Ming Yap, Manuel Salto-Tellez, Bow Ho, Richie Soong, Kee Seng Chia, Yik Ying Teo, Ming Teh, Khay-Guan Yeoh, Jonathan W J Lee, Feng Zhu, Supriya Srivastava, Stephen Kk Tsao, Christopher Khor, Khek Yu Ho, Kwong Ming Fock, Wee Chian Lim, Tiing Leong Ang, Wan Cheng Chow, Jimmy Bok Yan So, Calvin J Koh, Shijia Joy Chua, Andrew S Y Wong, Jaideepraj Rao, Lee Guan Lim, Khoon Lin Ling, Chung-King Chia, Choon Jin Ooi, Andrea Rajnakova, Wai Ming Yap, Manuel Salto-Tellez, Bow Ho, Richie Soong, Kee Seng Chia, Yik Ying Teo, Ming Teh, Khay-Guan Yeoh

Abstract

Objective: To investigate the incidence of gastric cancer (GC) attributed to gastric intestinal metaplasia (IM), and validate the Operative Link on Gastric Intestinal Metaplasia (OLGIM) for targeted endoscopic surveillance in regions with low-intermediate incidence of GC.

Methods: A prospective, longitudinal and multicentre study was carried out in Singapore. The study participants comprised 2980 patients undergoing screening gastroscopy with standardised gastric mucosal sampling, from January 2004 and December 2010, with scheduled surveillance endoscopies at year 3 and 5. Participants were also matched against the National Registry of Diseases Office for missed diagnoses of early gastric neoplasia (EGN).

Results: There were 21 participants diagnosed with EGN. IM was a significant risk factor for EGN (adjusted-HR 5.36; 95% CI 1.51 to 19.0; p<0.01). The age-adjusted EGN incidence rates for patients with and without IM were 133.9 and 12.5 per 100 000 person-years. Participants with OLGIM stages III-IV were at greatest risk (adjusted-HR 20.7; 95% CI 5.04 to 85.6; p<0.01). More than half of the EGNs (n=4/7) attributed to baseline OLGIM III-IV developed within 2 years (range: 12.7-44.8 months). Serum trefoil factor 3 distinguishes (Area Under the Receiver Operating Characteristics 0.749) patients with OLGIM III-IV if they are negative for H. pylori. Participants with OLGIM II were also at significant risk of EGN (adjusted-HR 7.34; 95% CI 1.60 to 33.7; p=0.02). A significant smoking history further increases the risk of EGN among patients with OLGIM stages II-IV.

Conclusions: We suggest a risk-stratified approach and recommend that high-risk patients (OLGIM III-IV) have endoscopic surveillance in 2 years, intermediate-risk patients (OLGIM II) in 5 years.

Keywords: gastric cancer; pre-malignancy - GI tract; surveillance.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
(A) Age-adjusted early gastric neoplasia (EGN) incidence rates stratified by baseline Operative Link on Gastric Intestinal Metaplasia (OLGIM) stages. (B) Box plot depicting the time (years) to develop EGN among patients with OLGIM II (orange) and OLGIM III–IV (red), with respective median time (midline) of 50.7 months (range 28.5–73.3) and 22.7 months (range 12.7–44.8). The 25th and 75th quartile are represented by the lower and upper end of the boxes. IM, intestinal metaplasia.
Figure 2
Figure 2
(A) Box plots of serum biomarkers concentrations (TFF3, MIF and pepsinogen I/II ratio) stratified by the negative status (HP−; left column) or positive status (HP+; right column) of HP serology across baseline OLGIM stages (x-axis). Serum concentrations are variance transformed using log2 units and statistical differences tested through ANOVA. (B) ROC diagrams of serum biomarkers (TFF3, MIF, Pepsinogen I/II ratio) stratified by stratified by the negative status (HP−; left column) or positive status (HP+; right column) of HP serology and the classification definitions of either (OLGIM II–IV vs OLGIM 0–I; top row) or (OLGIM III–IV vs OLGIM 0–II, bottom row).ANOVA, analysis of variance; FPR, false positive rate; HP, H. pylori; IM, intestinal metaplasia; MIF, macrophage migration inhibitory factor; OLGIM, Operative Link on Gastric Intestinal Metaplasia; ROC, receiver operating characteristic; TFF3, trefoil factor 3; TPR, true positive rate.
Figure 3
Figure 3
(A) Proportions of patients within Singapore Gastric Cancer Epidemiology and MolecularGenetics Programme (GCEP), stratified by baseline OLGIM stages (rows) and subsequent OLGIM stages (columns) at 5 years. Each cell represents the proportion (%) of patients of that baseline OLGIM stage with the corresponding end of study OLGIM stage. Cells are coloured to indicate transition states of no IM (grey), reversal (blue), low risk (light blue), intermediate risk (orange) and high risk (red). (B) Bar plot indicating the proportion (%) of patients from each baseline OLGIM stage (x-axis) with the resulting transition state: no IM (grey), reversal (blue), low risk (light blue), intermediate risk (orange) and high risk (red). (C) Alluvial flowchart diagram of patients within GCEP: only patients with gastric IM diagnosed in at least one endoscopy were included for this diagram. The flowchart follows each patients at baseline endoscopy (stratified by the OLGIM stage) and the patient’s subsequent OLGIM stage at visit 3 and visit 5, whereby the patients trajectory summarised by the corresponding transition state trajectory: no IM (grey), reversal (blue), low risk (light blue), intermediate risk (orange) and high risk (red). IM, intestinal metaplasia; OLGIM, Operative Link on Gastric Intestinal Metaplasia.

References

    1. Bray F, Ferlay J, Soerjomataram I, et al. . Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68:394–424. 10.3322/caac.21492
    1. Leung WK, Wu M-shiang, Kakugawa Y, et al. . Screening for gastric cancer in Asia: current evidence and practice. Lancet Oncol 2008;9:279–87. 10.1016/S1470-2045(08)70072-X
    1. Shen L, Shan Y-S, Hu H-M, et al. . Management of gastric cancer in Asia: resource-stratified guidelines. Lancet Oncol 2013;14:e535–47. 10.1016/S1470-2045(13)70436-4
    1. Ferlay J, Soerjomataram I, Dikshit R, et al. . Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 2015;136:E359–86. 10.1002/ijc.29210
    1. Dan YY, So JBY, Yeoh KG. Endoscopic screening for gastric cancer. Clin Gastroenterol Hepatol 2006;4:709–16. 10.1016/j.cgh.2006.03.025
    1. Tan P, Yeoh K-G. Genetics and molecular pathogenesis of gastric adenocarcinoma. Gastroenterology 2015;149:1153–62. 10.1053/j.gastro.2015.05.059
    1. den Hoed CM, Holster IL, Capelle LG, et al. . Follow-Up of premalignant lesions in patients at risk for progression to gastric cancer. Endoscopy 2013;45:249–56. 10.1055/s-0032-1326379
    1. den Hollander WJ, Holster IL, den Hoed CM, et al. . Surveillance of premalignant gastric lesions: a multicentre prospective cohort study from low incidence regions. Gut 2019;68:585–93. 10.1136/gutjnl-2017-314498
    1. Pimentel-Nunes P, Libânio D, Marcos-Pinto R, et al. . Management of epithelial precancerous conditions and lesions in the stomach (maps II): European Society of gastrointestinal endoscopy (ESGE), European Helicobacter and microbiota Study Group (EHMSG), European Society of pathology (ESP), and Sociedade Portuguesa de Endoscopia Digestiva (SPED) guideline update 2019. Endoscopy 2019;51:365–88. 10.1055/a-0859-1883
    1. Rugge M, Genta RM, OLGA Group . Staging gastritis: an international proposal. Gastroenterology 2005;129:1807–8. 10.1053/j.gastro.2005.09.056
    1. Rugge M, Meggio A, Pennelli G, et al. . Gastritis staging in clinical practice: the OLGA staging system. Gut 2007;56:631–6. 10.1136/gut.2006.106666
    1. Rugge M, de Boni M, Pennelli G, et al. . Gastritis OLGA-staging and gastric cancer risk: a twelve-year clinico-pathological follow-up study. Aliment Pharmacol Ther 2010;31:1104–11. 10.1111/j.1365-2036.2010.04277.x
    1. Rugge M, Genta RM, Fassan M, et al. . OLGA gastritis staging for the prediction of gastric cancer risk: a long-term follow-up study of 7436 patients. Am J Gastroenterol 2018;113:1621–8. 10.1038/s41395-018-0353-8
    1. Capelle LG, de Vries AC, Haringsma J, et al. . The staging of gastritis with the OLGA system by using intestinal metaplasia as an accurate alternative for atrophic gastritis. Gastrointest Endosc 2010;71:1150–8. 10.1016/j.gie.2009.12.029
    1. Wang X, Lu B, Meng L, et al. . The correlation between histological gastritis staging- 'OLGA/OLGIM' and serum pepsinogen test in assessment of gastric atrophy/intestinal metaplasia in China. Scand J Gastroenterol 2017;52:822–7. 10.1080/00365521.2017.1315739
    1. Look M, Gao F, Low CH, et al. . Gastric cancer in Singapore. Gastric Cancer 2001;4:219–22. 10.1007/s10120-001-8013-9
    1. Ang TL, Fock KM, Dhamodaran S, et al. . Racial differences in Helicobacter pylori, serum pepsinogen and gastric cancer incidence in an urban Asian population. J Gastroenterol Hepatol 2005;20:1603–9. 10.1111/j.1440-1746.2005.03898.x
    1. Dixon MF, Genta RM, Yardley JH, et al. . Classification and grading of gastritis. The updated Sydney system. International workshop on the histopathology of gastritis, Houston 1994. Am J Surg Pathol 1996;20:1161–81. 10.1097/00000478-199610000-00001
    1. Rugge M, Correa P, Di Mario F, et al. . OLGA staging for gastritis: a tutorial. Dig Liver Dis 2008;40:650–8. 10.1016/j.dld.2008.02.030
    1. Silva E, Teixeira A, David L, et al. . Mucins as key molecules for the classification of intestinal metaplasia of the stomach. Virchows Arch 2002;440:311–7. 10.1007/s004280100531
    1. Nagtegaal ID, Odze RD, Klimstra D, et al. . The 2019 WHO classification of tumours of the digestive system. Histopathology 2020;76:182–8. 10.1111/his.13975
    1. Schlemper RJ, Riddell RH, Kato Y, et al. . The Vienna classification of gastrointestinal epithelial neoplasia. Gut 2000;47:251–5. 10.1136/gut.47.2.251
    1. Amin MB, Greene FL, Edge SB, et al. . The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more "personalized" approach to cancer staging. CA Cancer J Clin 2017;67:93–9. 10.3322/caac.21388
    1. Monteiro L, Bergey B, Gras N, et al. . Evaluation of the performance of the Helico blot 2.1 as a tool to investigate the virulence properties of Helicobacter pylori. Clin Microbiol Infect 2002;8:676–9. 10.1046/j.1469-0691.2002.00438.x
    1. Miki K. Gastric cancer screening by combined assay for serum anti-Helicobacter pylori IgG antibody and serum pepsinogen levels - "ABC method". Proc Jpn Acad Ser B Phys Biol Sci 2011;87:405–14. 10.2183/pjab.87.405
    1. Kang JM, Kim N, Yoo JY, et al. . The role of serum pepsinogen and gastrin test for the detection of gastric cancer in Korea. Helicobacter 2008;13:146–56. 10.1111/j.1523-5378.2008.00592.x
    1. Nakov R, Velikova T, Nakov V, et al. . Serum trefoil factor 3 predicts disease activity in patients with ulcerative colitis. Eur Rev Med Pharmacol Sci 2019;23:788–94. 10.26355/eurrev_201901_16893
    1. Xia HH-X, Yang Y, Chu K-M, et al. . Serum macrophage migration-inhibitory factor as a diagnostic and prognostic biomarker for gastric cancer. Cancer 2009;115:5441–9. 10.1002/cncr.24609
    1. Mohri Y, Mohri T, Wei W, et al. . Identification of macrophage migration inhibitory factor and human neutrophil peptides 1-3 as potential biomarkers for gastric cancer. Br J Cancer 2009;101:295–302. 10.1038/sj.bjc.6605138
    1. Department of Statistics Ministry of Trade and Industry R of S . Singapore Census of Population 2010. Statisitical Release, 2018. 3.
    1. Team R . R development core team. RA Lang. Environ Stat Comput 2013;55:275–86.
    1. The tidyverse. Available: [Accessed 14 Apr 2021].
    1. Therneau T. The survival package. Available: [Accessed 14 Apr 2021].
    1. Graham DY, Zou WY. Guilt by association: intestinal metaplasia does not progress to gastric cancer. Curr Opin Gastroenterol 2018;34:458–64. 10.1097/MOG.0000000000000472
    1. Cho S-J, Choi IJ, Kook M-C, et al. . Staging of intestinal- and diffuse-type gastric cancers with the OLGA and OLGIM staging systems. Aliment Pharmacol Ther 2013;38:1292–302. 10.1111/apt.12515
    1. Yun CY, Kim N, Lee J, et al. . Usefulness of OLGA and OLGIM system not only for intestinal type but also for diffuse type of gastric cancer, and NO interaction among the gastric cancer risk factors. Helicobacter 2018;23:e12542. 10.1111/hel.12542
    1. Banks M, Graham D, Jansen M, et al. . British Society of gastroenterology guidelines on the diagnosis and management of patients at risk of gastric adenocarcinoma. Gut 2019;68:1545–75. 10.1136/gutjnl-2018-318126
    1. Pittayanon R, Rerknimitr R, Klaikaew N, et al. . The risk of gastric cancer in patients with gastric intestinal metaplasia in 5-year follow-up. Aliment Pharmacol Ther 2017;46:40–5. 10.1111/apt.14082
    1. González CA, Sanz-Anquela JM, Companioni O, et al. . Incomplete type of intestinal metaplasia has the highest risk to progress to gastric cancer: results of the Spanish follow-up multicenter study. J Gastroenterol Hepatol 2016;31:953–8. 10.1111/jgh.13249
    1. González CA, Sanz-Anquela JM, Gisbert JP, et al. . Utility of subtyping intestinal metaplasia as marker of gastric cancer risk. A review of the evidence. Int J Cancer 2013;133:1023–32. 10.1002/ijc.28003
    1. Huang KK, Ramnarayanan K, Zhu F, et al. . Genomic and epigenomic profiling of high-risk intestinal metaplasia reveals molecular determinants of progression to gastric cancer. Cancer Cell 2018;33:137–50. 10.1016/j.ccell.2017.11.018
    1. Astuti Y, Wardhana A, Watkins J, et al. . Cigarette smoking and telomere length: a systematic review of 84 studies and meta-analysis. Environ Res 2017;158:480–9. 10.1016/j.envres.2017.06.038
    1. Praud D, Rota M, Pelucchi C, et al. . Cigarette smoking and gastric cancer in the stomach cancer pooling (stop) project. Eur J Cancer Prev 2018;27:124–33. 10.1097/CEJ.0000000000000290
    1. Lavery DL, Nicholson AM, Poulsom R, et al. . The stem cell organisation, and the proliferative and gene expression profile of Barrett's epithelium, replicates pyloric-type gastric glands. Gut 2014;63:1854–63. 10.1136/gutjnl-2013-306508
    1. Choi B, Lee H-J, Min J, et al. . Plasma expression of the intestinal metaplasia markers CDH17 and TFF3 in patients with gastric cancer. Cancer Biomark 2017;19:231–9. 10.3233/CBM-160147
    1. Leung WK, Yu J, Chan FKL, et al. . Expression of trefoil peptides (TFF1, TFF2, and TFF3) in gastric carcinomas, intestinal metaplasia, and non-neoplastic gastric tissues. J Pathol 2002;197:582–8. 10.1002/path.1147
    1. Kimura K, Takemoto T. An endoscopic recognition of the atrophic border and its significance in chronic gastritis. Endoscopy 1969;1:87–97. 10.1055/s-0028-1098086
    1. D. Singapore Cancer Registry Report No ONR . 8 - Cancer Incidence and Mortality 2003-2012 and Selected Trends 1973-2012 in Singapore, 2015.
    1. Kwak H-W, Choi IJ, Kim CG, et al. . Individual having a parent with early-onset gastric cancer may need screening at younger age. World J Gastroenterol 2015;21:4592–8. 10.3748/wjg.v21.i15.4592

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