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10 GENOMICS, HISTOPATHOLOGY, AND MOLECULAR PATHOLOGY OF SPORADIC AND HEREDITARY COLORECTAL CANCER 165
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Key Take Home Messages
CRC is highly heterogeneous in its pathogenesis and histopathological features.
Establishment of screening programs has allowed earlier
diagnosis and understanding of early steps of pathogenesis of
CRC.
Accurate classification of CRC and molecular characterization allows the best treatment decisions to be made and is useful for prognostication.
Increasingly, molecular testing is being used to identify
patients with actionable genetic defects.
Knowledge Gaps
What is the role of the tumor microenvironment and microbiome in CRC formation and progression?
What are the drivers of metastasis in CRC?
To what extent does intra-tumoral genetic and transcriptomic heterogeneity contribute to treatment resistance in metastatic CRC?
Are there biomarkers that can be used for early detection of
pre-neoplastic lesions?
Are there other biomarkers that are more predictive of
treatment response which can improve targeted neoadjuvant or
adjuvant therapy?
Trusted Websites for Further Reading
• The Royal College of Pathologists, United Kingdom.
Links to up-to-date UK-based histology reporting guidelines.
https://www.rcpath.org/profession/guidelines.html
• Association for Molecular Pathology, USA.
Up-to-date American guidelines on the use of molecular
biomarkers.
https://www.amp.org/clinical-practice/practice-guidelines/
colorectal-biomarker-guideline
• National Institute for Health and Care Excellence (NICE),
United Kingdom.
UK guidelines on management of local and metastatic colorectal cancer and evidence review of the use of molecular biomarkers for systemic anti-cancer therapy.
https://www.nice.org.uk/guidance/ng151
• British Society of Gastroenterology (BSG)
Joint guidelines for the management of hereditary colorectal
cancer.
https://www.bsg.org.uk/clinical-resource/guidelines-for-themanagement-of-hereditary-colorectal-cancer-from-the-bsgacpgbi-ukcgg
References
Aaltonen, L.A., Salovaara, R., Kristo, P. etal. (1998). Incidence of hereditary
nonpolyposis colorectal cancer and the feasibility of molecular screening
for the disease. New Engl J Med 338 (21): 1481–1487. doi: 10.1056/
NEJM199805213382101.
Aarnio, M., Sankila, R., Pukkala, E. etal. (1999). Cancer risk in mutation
carriers of DNA-mismatch-repair genes. Int J Cancer 81 (2): 214–218.
doi: 10.1002/(sici)1097-0215(19990412)81:2<214::aid-ijc8>3.0.co;2-l.
Aberle, H., Bauer, A., Stappert, J. etal. (1997). β-catenin is a target for the
ubiquitin–proteasome pathway. EMBO J 16 (13): 3797–3804. doi:
10.1093/emboj/16.13.3797.
Armaghany, T., Wilson, J.D., Chu, Q., and Mills, G. (2012). Genetic
alterations in colorectal cancer. Gastrointest Cancer Res: GCR 5 (1): 19–
27. doi: 10.1007/978-0-85729-984-0_2.
Arnold, M., Sierra, M.S., Laversanne, M. etal. (2017). Global patterns and
trends in colorectal cancer incidence and mortality. Gut 66 (4): 683–691.
doi: 10.1136/gutjnl-2015-310912.
Barker, N., Ridgway, R.A., Van Es, J.H. etal. (2009). Crypt stem cells as the
cells-of-origin of intestinal cancer. Nature 457 (7229): 608–611. doi:
10.1038/nature07602.
Bateman, A.C. and Shepherd, N.A. (2015). UK guidance for the pathological
reporting of serrated lesions of the colorectum. J Clin Pathol 68: 585–591.
Beaton, C., Twine, C.P., Williams, G.L., and Radcliffe, A.G. (2013).
Systematic review and meta-analysis of histopathological factors
influencing the risk of lymph node metastasis in early colorectal cancer.
Colorectal Dis 15: 788–797.
Becht, E., De Reyniès, A., Giraldo, N.A. etal. (2016). Immune and stromal
classification of Colorectal cancer is associated with molecular subtypes
and relevant for precision immunotherapy. Clin Cancer Res 22 (16):
4057–4066. doi: 10.1158/1078-0432.CCR-15-2879.
Bisgaard, M.L., Fenger, K., Bülow, S. et al. (1994). Familial adenomatous
polyposis (FAP): frequency, penetrance, and mutation rate. Hum Mutat
3 (2): 121–125. doi: 10.1002/humu.1380030206.
Boland, C.R., Thibodeau, S.N., Hamilton, S.R. et al. (1998). A national
cancer institute workshop on microsatellite instability for cancer
detection and familial predisposition: development of international
criteria for the determination of microsatellite instability in colorectal
cancer. Cancer Res 58 (22): 5248–5257. http://www.ncbi.nlm.nih.gov/
pubmed/9823339.
Boland, C.R. and Goel, A. (2010). Microsatellite Instability in Colorectal
Cancer. Gastroenterology 138 (6): 2073–2087.e3. doi: 10.1053/j.
gastro.2009.12.064.
Bray, F., Ferlay, J., Soerjomataram, I. etal. (2018). Global cancer statistics
2018: GLOBOCAN estimates of incidence and mortality worldwide for
36 cancers in 185 countries. CA: Cancer J Clin 68 (6): 394–424. doi:
10.3322/caac.21492.
Bruens, L., Ellenbroek, S.I.J., Suijkerbuijk, S.J.E. et al. (2020). Calorie
restriction increases the number of competing stem cells and decreases
mutation retention in the intestine. Cell Reports 32 (3): 107937. doi:
10.1016/j.celrep.2020.107937.
Burmer, G.C., Levine, D.S., Kulander, B.G. etal. (1990). C-Ki-ras mutations
in chronic ulcerative colitis and sporadic colon carcinoma.
Gastroenterology 99 (2): 416–420. doi: 10.1016/0016-5085(90)91024-Z.

166 2 COLORECTAL AND ANAL CANCER
https://t.me/medicina_free
Burn, J., Gerdes, A.M., MacRae, F. etal. (2011). Long-term effect of aspirin
on cancer risk in carriers of hereditary colorectal cancer: an analysis
from the CAPP2 randomised controlled trial. Lancet 378: 2081–2087.
Burt, R. and Neklason, D.W. (2005). Genetic testing for inherited colon
cancer. Gastroenterology 128 (6): 1696–1716. doi: 10.1053/j.
gastro.2005.03.036.
Cadigan, K.M. and Nusse, R. (1997). Wnt signaling: a common theme in
animal development. Genes Devel 11 (24): 3286–3305. doi: 10.1101/
gad.11.24.3286.
Cairns, S.R., Scholefield, J.H., Steele, R.J. et al. (2010). Guidelines for
colorectal cancer screening and surveillance in moderate and high risk
groups (update from 2002). Gut 59 (5): 666–689. doi: 10.1136/
gut.2009.179804.
Canon, J., Rex, K., Saiki, A.Y. et al. (2019). The clinical KRAS(G12C)
inhibitor AMG 510 drives anti-tumor immunity. Nature 575: 217–223.
doi: 10.1038/s41586-019-1694-1.
Carr, N.J., Mahajan, H., Tan, K.L. etal. (2009). Serrated and non-serrated
polyps of the colorectum: their prevalence in an unselected case series
and correlation of BRAF mutation analysis with the diagnosis of sessile
serrated adenoma. J Clin Pathol 62: 516–518.
Castaño-Milla, C., Chaparro, M., and Gisbert, J.P. (2014). Systematic review
with meta-Analysis: the declining risk of colorectal cancer in ulcerative
colitis. Aliment Pharmacol Ther 39 (7): 645–659. doi: 10.1111/apt.12651.
Cercek, A., Lumish, M., Sinopoli, J. et al. (2022). PD-1 blockade in
mismatch repair-deficient, locally advanced rectal cancer. N Engl J Med
386 (25): 2363–2376. doi: 10.1056/NEJMoa2201445.
Chang, G.J., Rodriguez-Bigas, M.A., Skibber, J.M., and Moyer, V.A. (2007).
Lymph node evaluation and survival after curative resection of colon
cancer: systematic review. J Natl Cancer Inst 99: 433–441.
Chen, B., Scurrah, C.R., McKinley, E.T. et al. (2021). Differential pre-
malignant programs and microenvironment chart distinct paths to
malignancy in human colorectal polyps. Cell 184 (26): 6262–6280.e26.
doi: 10.1016/j.cell.2021.11.031.
Chow, E., Lipton, L., Lynch, E. et al. (2006). Hyperplastic polyposis
syndrome: phenotypic presentations and the role of MBD4 and MYH.
Gastroenterology 131 (1): 30–39. doi: 10.1053/j.gastro.2006.03.046.
Chung, D.C. and Rustgi, A.K. (2003). The hereditary nonpolyposis
colorectal cancer syndrome: genetics and clinical implications. Ann
Intern Med 138 (7). doi: 10.7326/0003-4819-138-7-200304010-00012.
East, J.E., Atkin, W.S., Bateman, A.C. et al. (2017). British society of
gastroenterology position statement on serrated polyps in the colon and
rectum. Gut 2017 (66): 1181–1196.
Ekbom, A., Helmick, C., Zack, M., and Adami, H.O. (1990). Ulcerative
colitis and colorectal cancer. A population-based study. N Engl J Med
323 (18): 1228–1233. doi: 10.1056/NEJM199011013231802.
Fearon, E.R. and Vogelstein, B. (1990). A genetic model for colorectal
tumorigenesis. Cell 61 (5): 759–767. doi: 10.1016/0092-8674(90)90186-i.
Fodde, R., Kuipers, J., Rosenberg, C. et al. (2001). Mutations in the APC
tumor suppressor gene cause chromosomal instability. Nat Cell Biol 3
(4): 433–438. doi: 10.1038/35070129.
Friedl, W., Caspari, R., Sengteller, M. etal. (2001). Can APC mutation
analysis contribute to therapeutic decisions in familial adenomatous
polyposis? Experience from 680 FAP families. Gut 48 (4): 515–521. doi:
10.1136/gut.48.4.515.
Galandiuk, S., Rodriguezjusto, M., Jeffery, R. et al. (2012). Field
cancerization in the intestinal epithelium of patients with Crohn’s
ileocolitis. Gastroenterology 142 (4): 855–864.e8. doi: 10.1053/j.
gastro.2011.12.004.
Gandhi, J., Davidson, C., Hall, C. et al. (2017). Population-based study
demonstrating an increase in colorectal cancer in young patients. Br J
Surg 104 (8): 1063–1068. doi: 10.1002/bjs.10518.
Giardiello, F.M., Hamilton, S.R., Krush, A.J. et al. (1993). Treatment of
colonic and rectal adenomas with sulindac in familial adenomatous
polyposis. New Engl J Med 328 (18): 1313–1316. doi: 10.1056/
NEJM199305063281805.
Gillen, C.D., Walmsley, R.S., Prior, P. et al. (1994). Ulcerative colitis and
Crohn’s disease: a comparison of the colorectal cancer risk in extensive
colitis. Gut 35 (11): 1590–1592. doi: 10.1136/gut.35.11.1590.
Guinney, J., Dienstmann, R., Wang, X. et al. (2015). The consensus
molecular subtypes of colorectal cancer. Nature Med 21 (11): 1350–1356.
doi: 10.1038/nm.3967.
Guyot D'Asnières De Salins, A., Tachon, G., Cohen, R. et al. (2021).
Discordance between immunochemistry of mismatch repair proteins
and molecular testing of microsatellite instability in colorectal cancer.
ESMO open 6 (3): 100120. doi: 10.1016/j.esmoop.2021.100120.
Haggitt, R.C., Glotzbach, R.E., Soffer, E.E., and Wruble, L.D. (1985).
Prognostic factors in colorectal carcinomas arising in adenomas:
implications for lesions removed by endoscopic polypectomy.
Gastroenterology 89: 328–336.
He, T.C., Sparks, A.B., Rago, C. etal. (1998). Identification of c-MYC as a
target of the APC pathway. Science 281 (5382): 1509–1512. doi: 10.1126/
science.281.5382.1509.
Hermanek, P., Merkel, S., and Hohenberger, W. (2013). Prognosis of rectal
carcinoma after multimodal treatment: ypTNM classification and
tumor regression grading are essential. Anticancer Res 33: 559–566.
Hitchins, M., Williams, R., Cheong, K. et al. (2005). MLH1 germline
epimutations as a factor in hereditary nonpolyposis colorectal cancer.
Gastroenterology 129 (5): 1392–1399. doi: 10.1053/j.gastro.2005.09.003.
Hyman, N.H., Anderson, P., and Blasyk, H. (2004). Hyperplastic polyposis
and the risk of colorectal cancer. Diseases of the Colon and Rectum 47
(12): 2101–2104. doi: 10.1007/s10350-004-0709-6.
Iino, H., Jass, J.R., Simms, L.A. etal. (1999). DNA microsatellite instability
in hyperplastic polyps, serrated adenomas, and mixed polyps: a mild
mutator pathway for colorectal cancer? J Clin Pathol 52 (1): 5–9. doi:
10.1136/jcp.52.1.5.
Isella, C., Brundu, F., Bellomo, S.E. etal. (2017). Selective analysis of cancer-
cell intrinsic transcriptional traits defines novel clinically relevant subtypes
of colorectal cancer. Nat Comm 8 (May): 1–16. doi: 10.1038/ncomms15107.
Jiri, J., Marketa, U., Arnoud, B. etal. (2022). Mutational analysis of driver
genes defines the colorectal adenoma: in situ carcinoma transition. Sci
Rep 12 (1): 1–10. doi: 10.1038/s41598-022-06498-9.
Jones, S., Chen, W.D., Parmigiani, G. et al. (2008). Comparative lesion
sequencing provides insights into tumor evolution. Proceedings of the
National Academy of Sciences of the United States of America 105 (11):
4283–4288. doi: 10.1073/pnas.0712345105.
Jover, R., Zapater, P., Castells, A. etal. (2009). The efficacy of adjuvant
chemotherapy with 5-fluorouracil in colorectal cancer depends on the
mismatch repair status. Eur J Cancer 45 (3): 365–373. doi: 10.1016/j.
ejca.2008.07.016.
Kambara, T., Simms, L.A., Whitehall, V.L.J. etal. (2004). BRAF mutation is
associated with DNA methylation in serrated polyps and cancers of the
colorectum. Gut 53 (8): 1137–1144. doi: 10.1136/gut.2003.037671.

10 GENOMICS, HISTOPATHOLOGY, AND MOLECULAR PATHOLOGY OF SPORADIC AND HEREDITARY COLORECTAL CANCER 167
https://t.me/medicina_free
Kaplan, K.B., Burds, A.A., Swedlow, J.R. et al. (2001). A role for the
Adenomatous Polyposis Coli protein in chromosome segregation. Nat
Cell Biol 3 (4): 429–432. doi: 10.1038/35070123.
Kaz, A.M. and Brentnall, T.A. (2006). Genetic testing for colon cancer. Nat
Clin Pract Gastroenterol Hepatol 3 (12): 670–679. doi: 10.1038/
ncpgasthep0663.
Kikuchi, R., Takano, M., Takagi, K. et al. (1995). Management of early
invasive colorectal cancer. Risk of recurrence and clinical guidelines. Dis
Colon Rectum 38: 1286–1295.
Kim, J.C. and Bodmer, W.F. (2021). Genotypic and phenotypic
characteristics of hereditary colorectal cancer. Ann Coloproctol 37 (6):
368–381. doi: 10.3393/ac.2021.00878.0125.
Koopman, M., Kortman, G.A.M., Mekenkamp, L. etal. (2009). Deficient
mismatch repair system in patients with sporadic advanced colorectal
cancer. Br J Cancer 100 (2): 266–273. doi: 10.1038/sj.bjc.6604867.
Kopetz, S., Grothey, A., Yaeger, R. etal. (2019). Encorafenib, binimetinib,
and cetuximab in BRAF V600E-mutated colorectal cancer. N Engl J Med
381: 1632–1643. doi: 10.1056/NEJMoa1908075.
Lal, G. and Gallinger, S. (2000). Familial adenomatous polyposis. Seminars
in Surgical Oncology 18 (4): 314–323. 10.1002/(SICI)1098-2388
(200006)18:4<314::AID-SSU6>3.0.CO;2-9.
Lal, N., Chan, D.K.H., Ng, M.E. etal. (2022). Primary tumour immune
response and lymph node yields in colon cancer. Br J Cancer doi:
10.1038/s41416-022-01700-1.
Lamb, C.A., Kennedy, N.A., Raine, T. et al. (2019). British Society of
Gastroenterology consensus guidelines on the management of
inflammatory bowel disease in adults. Gut 68 (Suppl 3): s1–s106. doi:
10.1136/gutjnl-2019-318484.
Lamberti, C., Mangold, E., Pagenstecher, C. et al. (2006). Frequency of
hereditary non-polyposis colorectal cancer among unselected patients
with colorectal cancer in Germany. Digestion 74 (1): 58–67. doi:
10.1159/000096868.
Langer, R. and Becker, K. (2018). Tumor regression grading of gastrointestinal
cancers after neoadjuvant therapy. Virchows Arch 472: 175–178.
Lash, R.H., Genta, R.M., and Schuler, C.M. (2010). Sessile serrated
adenomas: prevalence of dysplasia and carcinoma in 2139 patients. J
Clin Pathol 63: 681–686.
Latham, A., Srinivasan, P., Kemel, Y. etal. (2019). Microsatellite instability
is associated with the presence of Lynch syndrome pan-cancer. J Clin
Oncol 37 (4): 286–295. doi: 10.1200/JCO.18.00283.
Le, D.T., Durham, J.N., Smith, K.N. etal. (2017). Mismatch repair deficiency
predicts response of solid tumors to PD-1 blockade. Science 357:
409–413.
Le, D.T., Uram, J.N., Wang, H. etal. (2015). PD-1 blockade in tumors with
mismatch-repair deficiency. New Engl J Med 372 (26): 2509–2520. doi:
10.1056/nejmoa1500596.
Leggett, B. and Whitehall, V. (2010). Role of the serrated pathway in
colorectal cancer pathogenesis. Gastroenterology 138 (6): 2088–2100.
doi: 10.1053/j.gastro.2009.12.066.
Leppert, M., Burt, R., Hughes, J.P. et al. (1990). Genetic analysis of an
inherited predisposition to colon cancer in a family with a variable
number of adenomatous polyps. New Engl J Med 322 (13): 904–908. doi:
10.1056/NEJM199003293221306.
Lin, J.S., Perdue, L.A., Henrikson, N.B. etal. (2021). Screening for colorectal
cancer: updated evidence report and systematic review for US preventive
services task force. JAMA 20 326 (3): 279.
Lindor, N.M., Rabe, K., Petersen, G.M. etal. (2005). Lower cancer incidence
in Amsterdam-I criteria families without mismatch repair deficiency:
familial colorectal cancer type X. J Am Med Ass 293 (16): 1979–1985.
doi: 10.1001/jama.293.16.1979.
Linnebacher, M., Gebert, J., Rudy, W. etal. (2001). Frameshift peptide-
derived T-cell epitopes: a source of novel tumor-specific antigens. Int J
Cancer 93 (1): 6–11. doi: 10.1002/ijc.1298.
Loughrey, M.B., Quirke, P., and Shepherd, N.A. (2018). The Royal college
of pathologists dataset for histopathological reporting of colorectal
cancer.
Loughrey, M.B., Webster, F., Arends, M.J. etal. (2022 March 1). Dataset for
pathology reporting of colorectal cancer: recommendations from the
international collaboration on cancer reporting (ICCR). Ann Surg 275
(3): e549–e561.
Lugli, A., Zlobec, I., Berger, M.D. et al. (2021). Tumor budding in solid
cancers. Nat Rev Clin Oncol 18 (2): 101–115.
Lynch, H.T. and Lynch, J.F. (1985). Hereditary nonpolyposis colorectal cancer
(Lynch syndromes I and II): a common genotype linked to oncogenes?
Med Hypotheses 18 (1): 19–28. doi: 10.1016/0306-9877(85)90115-X.
Maas, M., Nelemans, P.J., Valentini, V. etal. (2010). Long-term outcome in
patients with a pathological complete response after chemoradiation for
rectal cancer: a pooled analysis of individual patient data. Lancet Oncol
11: 835–844.
McLellan, E.A., Owen, R.A., Stepniewska, K.A. etal. (1993). High frequency
of K-ras mutations in sporadic colorectal adenomas. Gut 34 (3): 392–
396. doi: 10.1136/gut.34.3.392.
Meric-Bernstam, F., Hurwitz, H., Raghav, K.P.S. etal. (2019). Pertuzumab
plus trastuzumab for HER2-amplified metastatic colorectal cancer
(MyPathway): an updated report from a multicentre, open-label, phase
2a, multiple basket study. Lancet Oncol 20: 518–530. doi: 10.1016/
S1470-2045(18)30904-5.
Monahan, K.J., Bradshaw, N., Dolwani, S. etal. (2020). Guidelines for the
management of hereditary colorectal cancer from the British Society of
Gastroenterology (BSG)/Association of Coloproctology of Great Britain
and Ireland (ACPGBI)/United Kingdom Cancer Genetics Group
(UKCGG). Gut 69 (3): 411–444. doi: 10.1136/gutjnl-2019-319915.
Mori, Y., Nagse, H., Ando, H. etal. (1992). Somatic mutations of the APC
gene in colorectal tumors: mutation cluster region in the APC gene.
Human Mol Genet 1 (4): 229–233. doi: 10.1093/hmg/1.4.229.
Morton, D.G., Gibson, J., Macdonald, F. etal. (2005). Role of congenital
hypertrophy of the retinal pigment epithelium in the predictive
diagnosis of familial adenomatous polyposis. Br J Surg 79 (7): 689–693.
doi: 10.1002/bjs.1800790733.
Munro, A.J., Lain, S., and Lane, D.P. (2005). P53 abnormalities and
outcomes in colorectal cancer: a systematic review. Br J Cancer 92 (3):
434–444. doi: 10.1038/sj.bjc.6602358.
Murphy, K.M., Zhang, S., Geiger, T. et al. (2006). Comparison of the
microsatellite instability analysis system and the Bethesda panel for the
determination of microsatellite instability in colorectal cancers. J Mol
Diagn 8 (3): 305–311. doi: 10.2353/jmoldx.2006.050092.
Nagtegaal, I.D., Knijn, N., Hugen, N. et al. (2016). Tumor deposits in
colorectal cancer: improving the value of modern staging-A systematic
review and meta-analysis. J Clin Oncol 35: 1119–1127.
Nagtegaal, I.D., van de Velde, C.J., van der Worp, E. etal. (2002). Macroscopic
evaluation of rectal cancer resection specimen: clinical significance of the
pathologist in quality control. J Clin Oncol 20: 1729–1734.

168 2 COLORECTAL AND ANAL CANCER
https://t.me/medicina_free
Nalapareddy, K., Nattamai, K.J., Kumar, R.S. etal. (2017). Canonical Wnt
signaling ameliorates aging of intestinal stem cells. Cell Reports 18 (11):
2608–2621. doi: 10.1016/j.celrep.2017.02.056.
Narayan, S. and Roy, D. (2003). Role of APC and DNA mismatch repair
genes in the development of colorectal cancers. Mol Cancer 2: 1–15. doi:
10.1186/1476-4598-2-41.
National Institute for Health and Care Excellence (NICE) (2017). Molecular
testing strategies for Lynch syndrome in people with colorectal cancer.
Nice (February 2017): 1–37. Retrieved from https://www.nice.org.uk/
guidance/dg27 (accessed 28 July 2022).
Nieminen, T.T., O’Donohue, M.F., Wu, Y. etal. (2014). Germline mutation
of RPS20, encoding a ribosomal protein, causes predisposition to
hereditary nonpolyposis colorectal carcinoma without DNA mismatch
repair deficiency. Gastroenterology 147 (3): 595–598.e5. doi: 10.1053/j.
gastro.2014.06.009.
O’Brien, M.J., Yang, S., Mack, C. etal. (2006). Comparison of microsatellite
instability, CpG island methylation phenotype, BRAF and KRAS status
in serrated polyps and traditional adenomas indicates separate pathways
to distinct colorectal carcinoma end points. Am J Surg Pathol 30 (12):
1491–1501. doi: 10.1097/01.pas.0000213313.36306.85.
O’Connor, P.M., Lapointe, T.K., Beck, P.L., and Buret, A.G. (2010).
Mechanisms by which inflammation may increase intestinal cancer risk
in inflammatory bowel disease. Inflamm Bowel Dis 16 (8): 1411–1420.
doi: 10.1002/ibd.21217.
Orford, K., Crockett, C., Jensen, J.P. etal. (1997). Serine phosphorylation-
regulated ubiquitination and degradation of β- catenin. J Biol Chem 272
(40): 24735–24738. doi: 10.1074/jbc.272.40.24735.
Overman, M.J., McDermott, R., Leach, J.L. et al. (2017). Nivolumab in
patients with metastatic DNA mismatch repair-deficient or microsatellite
instability-high colorectal cancer (CheckMate 142): an open-label,
multicentre, phase 2 study. Lancet Oncol 18 (9): 1182–1191. doi: 10.1016/
S1470-2045(17)30422-9.
Peltomäki, P., Lothe, R.A., Aaltonen, L.A. et al. (1993). Microsatellite
instability is associated with tumors that characterize the hereditary
non-polyposis colorectal carcinoma syndrome. Cancer Res 53 (24):
5853–5855. http://www.ncbi.nlm.nih.gov/pubmed/8261393.
Pietrantonio, F., Petrelli, F., Coinu, A. etal. (2015). Predictive role of BRAF
mutations in patients with advanced colorectal cancer receiving cetuximab
and panitumumab: a meta-analysis. Eur J Cancer 51: 587–594.
Popat, S., Hubner, R., and Houlston, R.S. (2005). Systematic review of
microsatellite instability and colorectal cancer prognosis. J Clin Oncol:
Off J Am Soc Clin Oncol 23 (3): 609–618. doi: 10.1200/JCO.2005.01.086.
Popat, S. and Houlston, R.S. (2005). A systematic review and meta-analysis
of the relationship between chromosome 18q genotype, DCC status and
colorectal cancer prognosis. Eur J Cancer 41 (14): 2060–2070. doi:
10.1016/j.ejca.2005.04.039.
Qazi, T.M., O’Brien, M.J., Farraye, F.A. et al. (2014 December).
Epidemiology of goblet cell and microvesicular hyperplastic polyps. Am
J Gastroenterol 109 (12): 1922–1932.
Quirke, P., Steele, R., Monson, J. etal. (2009). Effect of the plane of surgery
achieved on local recurrence in patients with operable rectal cancer: a
prospective study using data from the MRC CR07 and NCIC-CTG
CO16 randomised clinical trial. Lancet 373: 821–828.
Radtke, F. and Clevers, H. (2005). Self-renewal and cancer of the gut: two
sides of a coin. Science 307 (5717): 1904–1909. doi: 10.1126/
science.1104815.
Rosenberg, D.W., Yang, S., Pleau, D.C. etal. (2007). Mutations in BRAF and
KRAS differentially distinguish serrated versus non-serrated
hyperplastic aberrant crypt foci in humans. Cancer Res 67 (8): 3551–
3554. doi: 10.1158/0008-5472.CAN-07-0343.
Rozek, L.S., Schimit, S.L., Greenson, J.K. et al. (2016 May 12). Tumor
infiltrating lymphocytes, Crohn’s-like lymphoid reaction and survival
from colorectal cancer. J Nat Cancer Inst 108 (8).
Sangiorgi, E. and Capecchi, M.R. (2008). Bmi1 is expressed in vivo in
intestinal stem cells. Nat Genet 40 (7): 915–920. doi: 10.1038/ng.165.
Sartore-Bianchi, A., Trusolino, L., Martino, C. etal. (2016). Dual-targeted
therapy with trastuzumab and lapatinib in treatment-refractory, KRAS
codon 12/13 wild-type, HER2-positive metastatic colorectal cancer
(HERACLES): a proof-of-concept, multicentre, open-label, phase 2 trial.
Lancet Oncol 17: 738–746. doi: 10.1016/S1470-2045(16)00150-9.
Schumacher, T.N. and Schreiber, R.D. (2015). Neoantigens in cancer
immunotherapy. Science 348 (6230): 69–74. doi: 10.1126/science.aaa4971.
Setti-Carraro, P. and Nicholls, R.J. (1996). Choice of prophylactic surgery
for the large bowel component of familial adenomatous polyposis. Br J
Surg 83 (7): 885–892. doi: 10.1002/bjs.1800830704.
Shih, I.M., Wang, T.L., Traverso, G. etal. (2001). Top-down morphogenesis
of colorectal tumors. Proceedings of the National Academy of Sciences of
the United States of America 98 (5): 2640–2645. doi: 10.1073/
pnas.051629398.
Snippert, H.J., Schepers, A.G., Van Es, J.H. etal. (2014). Biased competition
between Lgr5 intestinal stem cells driven by oncogenic mutation induces
clonal expansion. EMBO Rep 15 (1): 62–69. doi: 10.1002/
embr.201337799.
Snover, D.C., Jass, J.R., Fenoglio-Preiser, C., and Batts, K.P. (2005). Serrated
polyps of the large intestine: a morphologic and molecular review of an
evolving concept. Am J Clin Pathol 124 (3): 380–391. doi: 10.1309/
V2EPTPLJRB3FGHJL.
Spigelman, A.D., Talbot, I.C., Williams, C.B. et al. (1989). Upper
gastrointestinal cancer in patients with familial adenomatous polyposis.
Lancet 334 (8666): 783–785. doi: 10.1016/S0140-6736(89)90840-4.
Spirio, L., Otterud, B., Stauffer, D. etal. (1992). Linkage of a variant or
attenuated form of adenomatous polyposis coli to the adenomatous
polyposis coli (APC) locus. Am J Hum Genet 51 (1): 92–100.
Stoffel, E.M. and Boland, C.R. (2015). Genetics and genetic testing in
hereditary colorectal cancer. Gastroenterology 149 (5): 1191–1203.e2.
doi: 10.1053/j.gastro.2015.07.021.
Syngal, S., Brand, R.E., Church, J.M. et al. (2015). ACG clinical guideline:
genetic testing and management of hereditary gastrointestinal cancer
syndromes. Am J Gastroenterol 110 (2): 223–262. doi: 10.1038/
ajg.2014.435.
Tanaka, T., Watanabe, T., Kazama, Y. et al. (2006). Chromosome 18q
deletion and Smad4 protein inactivation correlate with liver metastasis:
a study matched for T- and N- classification. Br J Cancer 95 (11): 1562–
1567. doi: 10.1038/sj.bjc.6603460.
Tannin, L., Yin, J., Kozam, M. etal. (1995). Adenomatous polyposis coli
gene mutations in ulcerative colitis-associated dysplasias and cancers
versus sporadic colon neoplasms. Cancer Res 55 (10): 2035–2038.
ten Hoorn, S., de Back, T.R., Sommeijer, D.W., and Vermeulen, L. (2021).
Clinical value of consensus molecular subtypes in colorectal cancer: a
systematic review and meta-analysis. JNCI: J Natl Cancer Inst 00
(December 2020): 1–14. doi: 10.1093/jnci/djab106.
Tetsu, O. and McCormick, F. (1999). Beta-Catenin regulates expression of
cyclinD1 in colon carcinomacells Osamu. Nature 398 (April): 422.
Thibodeau, S.N., Bren, G., and Schaid, D. (1993). Microsatellite instability
in cancer of the proximal colon. Science 260 (5109): 816–819. doi:
10.1126/science.8484122.

10 GENOMICS, HISTOPATHOLOGY, AND MOLECULAR PATHOLOGY OF SPORADIC AND HEREDITARY COLORECTAL CANCER 169
https://t.me/medicina_free
Toyota, M., Ahuja, N., Ohe-Toyota, M. et al. (1999). CpG island methylator
phenotype in colorectal cancer. Proceedings of the National Academy of Sciences
of the United States of America 96 (15): 8681–8686. 10.1073/pnas.96.15.8681.
Ueno, H., Mochizuki, H., Hashiguchi, Y. etal. (2004). Risk factors for an
adverse outcome in early invasive colorectal carcinoma. Gastroenterology
127: 385–394.
Umar, A., Boland, C.R., Terdiman, J.P. et al. (2004). Revised Bethesda
guidelines for hereditary nonpolyposis colorectal cancer (Lynch
syndrome) and microsatellite instability. J Natl Cancer Inst 96 (4): 261–
268. doi: 10.1093/jnci/djh034.
Valle, L., Vilar, E., Tavtigian, S.V., and Stoffel, E.M. (2019). Genetic
predisposition to colorectal cancer: syndromes, genes, classification of
genetic variants and implications for precision medicine. J Pathol 247
(5): 574–588. doi: 10.1002/path.5229.
Van Cutsem, E., Lenz, H.J., Köhne, C.H. etal. (2015 March 1). Fluorouracil,
leucovorin, and irinotecan plus cetuximab treatment and RAS mutations
in colorectal cancer. J Clin Oncol 33 (7): 692–700.
Vasen, H.F.A., Watson, P., Mecklin, J.P., and Lynch, H.T. (1999). New
clinical criteria for hereditary nonpolyposis colorectal definition of
HNPCC. Gastroenterology 116: 1453–1456.
Vermeulen, L., Morrissey, E., Van Der Heijden, M. etal. (2013). Defining
stem cell dynamics in models of intestinal tumor initiation. Science 342
(6161): 995–998. doi: 10.1126/science.1243148.
Wasserman, I., Lee, L.H., Ogino, S. etal. (2019). Smad4 loss in colorectal
cancer patients correlates with recurrence, loss of immune infiltrate, and
chemoresistance. Clin Cancer Res 25 (6): 1948–1956. doi: 10.1158/1078-
0432.CCR-18-1726.
WHO classification of tumors (2019). Digestive System Tumors, 5e.
Williams, J.G., Pullan, R.D., Hill, J. et al. (2013). Management of the
malignant colorectal polyp: ACPGBI position statement. Colorectal Dis
15 (Suppl 2): 1–38. doi: 10.1111/codi.12262.
Winawer, S.J., Fletcher, R.H., Miller, L. et al. (1997). Colorectal cancer
screening: clinical guidelines and rationale the Adenoma-Carcinoma
sequence. Gastroenterology 112: 594–642.
Winther, K.V., Jess, T., Langholz, E. etal. (2004). Long-term risk of cancer
in ulcerative colitis: a population-based cohort study from Copenhagen
County. Clin Gastroenterol Hepatol 2 (12): 1088–1095. doi: 10.1016/
s1542-3565(04)00543-9.
Worthley, D.L., Whitehall, V.L.J., Buttenshaw, R.L. et al. (2010). DNA
methylation within the normal colorectal mucosa is associated with
pathway-specific predisposition to cancer. Oncogene 29 (11): 1653–
1662. doi: 10.1038/onc.2009.449.
Yan, H.H.N., Lai, J.C.W., Ho, S.L. etal. (2017). RNF43 germline and somatic
mutation in serrated neoplasia pathway and its association with BRAF
mutation. Gut 66 (9): 1645–1656. doi: 10.1136/gutjnl-2016-311849.
Yang, J.F., Tang, S.J., Lash, R.H. etal. (2015 March). Anatomic distribution
if sessile serrated adenoma/polyp with and without cytologic dysplasia.
Arch Pathol Lab Med 139 (3): 388–393.
Yang, S., Farraye, F.A., Mack, C. etal. (2004). BRAF and KRAS mutations in
hyperplastic polyps and serrated adenomas of the colorectum:
relationship to histology and CpG island methylation status. Am J Surg
Pathol 28 (11): 1452–1459. doi: 10.1097/01.pas.0000141404.56839.6a.
Yin, J., Harpaz, N., Tong, Y. etal. (1993). p53 Point mutations in dysplastic
and cancerous ulcerative colitis lesions. Gastroenterology 104 (6): 1633–
1639. doi: 10.1016/0016-5085(93)90639-T.
Zhou, S., Buckhaults, P., Zawel, L. etal. (1998). Targeted deletion of Smad4
shows it is required for transforming growth factor β and activin signaling
in colorectal cancer cells. Proceedings of the National Academy of Sciences of
the United States of America 95 (5): 2412–2416. doi: 10.1073/pnas.95.5.2412.
Zhu, L., Gibson, P., Currle, D.S. etal. (2009). Prominin 1 marks intestinal
stem cells that are susceptible to neoplastic transformation. Nature 457
(7229): 603–607. doi: 10.1038/nature07589.

11 Screening, Surveillance, and Prevention
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for Colorectal Cancer
Jeremy Meyer & Justin Davies
Cambridge Colorectal Unit, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
[Aspects of the epidemiology of colorectal cancer are also covered in Chapter 1 and Chapter 9. Aspects of gastrointestinal
screening and surveillance are also covered in Chapter 3].
Screening for Colorectal Cancer
Epidemiology of Colorectal Cancer
On a global scale, colorectal cancer is the third most common
cancer in terms of incidence, and second in terms of mortality,
being responsible for approximately 900,000 annual deaths
(Bray et al. 2018; Dekker et al. 2019). Based on 2017–2019 data
from the Surveillance, Epidemiology, and End Results program
(SEER, USA), approximately 4.1 percent of men and women
will be diagnosed with colorectal cancer at some point during
their lifetime (National Cancer Institute 2022). In its Annual
Report to the Nation, the SEER indicates that the age-standardized, delay-adjusted incidence rate of colorectal cancer is 44.6
(44.5
to 44.8) per 100,000 inhabitants, with an age-standardized
death rate of 16.3 (16.2 to 16.4) per 100,000 (Islami et al. 2021).
The Principles of Screening for
Colorectal Cancer
Currently, three pathways leading from normal bowel mucosa
to colorectal cancer have been identified: the adenoma–carcinoma pathway, the serrated pathway and the inflammatory
pathway, which is defined by progressing dysplasia due to
chronic inflammation ultimately leading to colorectal cancer,
as encountered in patients with inflammatory bowel disease
(Keum and Giovannucci 2019).
Based on 2012–2018 SEER data, at initial presentation, 37%
of colorectal cancers are localized (stages I and II), 36% have
regional spread (stage III) and 22% have distant spread (stage
IV). The 5-year overall survival for colorectal cancer is 65.1%.
Of interest, the 5-year overall survival is 90.9% for localized
colorectal cancer (stages I and II), 72.8% for stage III and 15.1%
Gastrointestinal Oncology: A Critical Multidisciplinary Team Approach,
Second Edition. Edited by Janusz A. Z. Jankowski.
© 2024 John Wiley & Sons Ltd. Published 2024 by John Wiley & Sons Ltd.
for stage IV (National cancer institute 2022). The TNM stage is
the main predictor of survival for colorectal cancer.
Patients with colorectal cancer may develop symptoms, such as
rectal bleeding (odds ratio (OR) for colorectal cancer: 20), change
in bowel habit (OR: 14), abdominal pain (OR: 3.9), diarrhea
(OR: 2.4), constipation (OR: 2.1) or weight loss (OR: 1.2–2.5)
(Hamilton et al. 2009). However, colorectal cancer rarely causes
symptoms in its early stage, and available evidence suggests that
using the symptomatic route to identify patients with colorectal
cancer is not particularly fruitful (Ahmed et al. 2005). Therefore,
an alternative method of consistently detecting early disease is
achieved by screening at-risk populations.
According to the criteria of Wilson and Jungner (Wilson
et al. 1968), there is little doubt that colorectal cancer is a
suitable candidate for screening. The treatment for colorectal
cancer is evidence-based, and the natural history is reasonably well understood; the evidence for the adenoma–carcinoma sequence is strong and it is generally accepted that
the majority of invasive cancers arise from pre-existing adenomatous polyps. Therefore, if screening detects significant
adenomas, there is an opportunity to reduce the incidence of
colorectal cancer. It is also well documented that the prognosis for colorectal cancer is highly dependent on stage at
diagnosis. However, the most important evidence supporting
screening for colorectal cancer comes from population-based
randomized trials.
Therefore, screening for colorectal cancer is based on these
two principles:
1 Identifying precursor lesions, such as adenomas, serrated
lesions, and hamartomatous polyps such as juvenile and PeutzJeghers polyps ((WHO) WHO 2019), in order to remove them
and avoid future progression to colorectal cancer (prevention, in
order to decrease the incidence of colorectal cancer).
2 Detecting colorectal cancer at an earlier stage, in order to
improve the outcomes of treatment (screening, in order to identify cancer cases at a localized stage).
Over the last 40 years in Europe, countries that had the largest reduction in colorectal cancer mortality were those with
170

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better access to screening services and specialized care (Ait
Ouakrim et al. 2015).
Methods for Screening for
Colorectal Cancer
Currently, tests for screening for colorectal cancer are classified
into fecal tests, endoscopy techniques, and imaging techniques.
Fecal Tests
The most widely used fecal tests for screening of colorectal cancer look for microscopic blood in the feces. The most common
are the guaiac fecal occult blood test (gFOBT), the fecal immunochemical test (iFOBT or FIT) and the multitargeted fecal
DNA test (FIT-DNA or sDNA).
gFOBT consists in placing a fecal sample on a paper containing a chemical extracted from the resin of Guaiacum tree, and
adding hydrogen peroxide. If the fecal sample contains heme,
either in its free form or bound to proteins such as globin, myoglobin and some cytochromes, the test turns blue (positive).
The most commonly used gFOBT is the Haemoccult II test.
gFOBT has limited sensitivity for identifying patients with
colorectal cancer in a screened population, with some studies
reporting a sensitivity of only 7.2% using colonoscopy as a gold
standard (Wong et al. 2012). Moreover, the test has several limitations. First, gFOBT is not capable of detecting the degradation products of heme. As the heme circulates through the
gastrointestinal tract, it is modified by microflora and loses its
peroxidase activity. Therefore, gFOBT is more sensitive for
distal lesions than for proximal lesions (Wong et al. 2012), and
its sensitivity can be altered if the cancer is not bleeding or
bleeding intermittently. Reyhdration of the guaiac test increases
its sensitivity by lysing red cells and exposing more heme.
However, although this approach will detect more colorectal
cancers it will also detect blood from relatively trivial lesions
and this has an adverse effect on specificity. Second, gFOBT
can yield false positive results in the context of recent intake of
dietary meat or vegetables containing hemoglobin, myoglobin,
or peroxidase (such as red meat, broccoli, cauliflower, radish,
and others). It has been suggested that specificity can be
improved by appropriate dietary restriction, but a meta-analysis suggested this approach to be ineffective (Pignone et al.
2001). In terms of efficiency, gFOBT allows decreasing colorectal cancer mortality in screened groups. For instance, biennial screening and annual screening using Haemoccult II,
associated with colonoscopy in patients with positive test, led
to a drop in mortality of 21% in the biennial group and of 33%
in the annual group after a follow-up period of 18 years (Mandel
et al. 1993). Moreover, the incidence of colorectal cancer in the
groups offered screening dropped significantly below that in
the control group, probably due to colonoscopic polypectomy
(Mandel et al. 2000). This reduction of mortality induced by
screening using Haemoccult II was also shown by other teams.
For instance, biennial screening allowed a 15% reduction in
death rate from colorectal cancer after a median of 7.8 years of
follow-up (Hardcastle et al. 1996). At a median of 11 years of
follow-up this reduction in mortality was still seen, albeit
reduced to 13% (Scholefield et al. 2002). Moreover, screening
allowed reducing the incidence of emergency admissions for
colorectal cancer, which may have important economic significance for healthcare systems (Scholefield et al. 1998). However,
Haemoccult sensitivity was only 50%, and therefore a significant
number of colorectal cancers were missed (Hardcastle et al.
1996). Other studies confirmed the reduction in mortality conferred by screening using gFOBT (Faivre et al. 2004; Jorgensen
et al. 2002) and the moderate sensitivity of the test for detection
of colorectal cancer (Malila et al. 2008) and advanced adenomas (Lin et al. 2021). Another study with a large sample size
confirmed that the number of positive tests in a screened
population ranged from 1.2 to 2.1%, that the positive predictive
value of the test for detecting colorectal cancer ranged between
13.9 to 18.7%, and that screening using gFOBT allowed a
reduction of 33% in colorectal cancer mortality. Moreover,
among responders, the sensitivity of the test was 68.8% (Faivre
et al. 2004). Acceptance of the test usually ranges between 50 to
more than 90% (Faivre et al. 2004; Jorgensen et al. 2002;
Kewenter et al. 1994; Malila et al. 2008). In meta-analysis,
annual or biennial gFOBT screening allowed reduction of colorectal cancer-specific mortality (relative risk at 19.5 years: 0.91,
relative risk at 30 years: 0.78) after 2 to 9 rounds of screening
(Lin et al. 2021). Therefore, although the gFOBT is fairly insensitive and patient’s compliance is relatively poor, early detection
of colorectal cancer by screening using gFOBT is beneficial.
Most of the research on fecal occult blood test screening for
colorectal cancer has employed the gFOBT. Since then, a newer
test has emerged, identifying globin using antibodies: the FIT.
The FIT has several advantages over gFOBT, including notably
a better sensitivity (Lin et al. 2021; Shapiro et al. 2017; van
Rossum et al. 2008) and the absence of dietary requirements.
Nationwide screening revealed that FIT allowed reaching a 34%
reduction in the incidence of advanced colorectal cancer, and a
40% reduction in colorectal cancer-related mortality. As for
gFOBT, the test was more efficient for distal lesions than for
proximal ones (Chiu et al. 2021). Moreover, FIT allows adjustment of the positivity cut-off value and, therefore, of the balance
between sensitivity and specificity (D’Souza et al. 2021; Guittet
et al. 2007), which may be of interest depending on the risk of
the screened population. For instance, in patients with symptoms of colorectal cancer and referred to the United Kingdom
two weeks’ wait pathway, the sensitivity of the test is maximized
to 97% using a cut-off value of 2
colorectal cancer in this high-risk population and avoiding
unnecessary investigations (D’Souza et al. 2021). In patients
µg/g which allows ruling out

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with a personal or familial history of colorectal cancer, FIT was
shown by meta-analysis to have a sensitivity for detecting colorectal cancer of 93% and a specificity of 91%. The best
combination between sensitivity and specificity was demonstrated for a test cut-off between 15 and 25μg/g in faeces
(Katsoula et al. 2017). The better accuracy of FIT when
compared to gFOBT has led the American College of Gastro
-
enterology to recommend favoring FIT over gFOBT (Rex et al.
2009), and FIT testing is now incorporated within the United
Kingdom national bowel cancer screening program.
More recently, FIT-DNA has emerged as a new alternative
for performing fecal occult blood testing. FIT-DNA detects
both blood in the stool (FIT component) and DNA mutations
in genes associated with colorectal cancer. The DNA comes
from cells in the lining of the colon and rectum that are shed
and collected in feces as it passes through the large intestine
and rectum. DNA is extracted from stool samples and amplified using polymerase chain reaction. However, because of
the heterogeneity of genetic mutations in both cancers and
adenomas, developing a test that will be reasonably sensitive
it is essential to look at a panel of different mutations in the
different genes. The genes most commonly studied are Kras,
APC and p53, and the mononucleotide BAT26 has been used
as a marker of microsatellite instability. It is also possible to
use DNA non-specifically, in the sense that “long DNA” is
likely to be shed from tumors, whereas cells shed from the
colonic epithelium undergoing apoptosis give rise to short
segments of DNA.
Meta-analysis showed that FIT-DNA has a pooled sensitivity
of 93% and pooled specificity of 85% for detecting colorectal
cancer, and a pooled sensitivity of 43% and a pooled specificity
of 89% for detecting advanced adenomas (Lin et al. 2021). FITDNA was reported to have better sensitivity for detecting colorectal cancer (92.3% versus 73.8%) and advanced precancerous
lesions (42.4% versus 23.8%) than FIT. However, FIT-DNA has
several limitations, among which is a complicated sample collection, the necessity of performing the analyses externally, a
decreased specificity when compared to FIT (Imperiale et al.
2014) and a higher cost (Hoffman et al. 2021). Simulation modelling found FIT-DNA to be less effective and more expensive
than FIT and colonoscopy for screening purpose (Ladabaum
and Comparative Effectiveness 2016).
Flexible Sigmoidoscopy
Considering that approximately three-quarters of colorectal
cancers are located in the sigmoid colon and rectum, it seems
reasonable to use flexible sigmoidoscopy as a screening tool,
particularly as the finding of a significant distal adenoma (see
Figure 1) may act as an indicator of more proximal disease.
Based on these premises, it has been initially proposed that a
single flexible sigmoidoscopy at about the age of 60 years with
removal of all adenomas at the time of examination and
performing colonoscopy for this at high risk for adenoma or
cancer would be an effective screening modality for colorectal
cancer (Atkin et al. 2001). In addition, this strategy might be
expected to reduce the incidence of colorectal cancer by removal
of adenomas. Compliance with screening using sigmoidoscopy
was reported to range between 46.6% and 71% (Atkin et al.
2017; Segnan et al. 2011; Verne et al. 1998). This compliance
could be increased from 46.6% to 61.8% when associated with
telephone reminders (Verne et al. 1998). In terms of findings,
polyps are found in 19.3%, adenomas in 6.8% and colorectal
cancer in 0.4% of sigmoidoscopies performing in patients aged
50–75 years (Verne et al. 1998). Screening using flexible sigmoidoscopy with a repetition at year three or five was demonstrated to decrease the incidence of colorectal cancer (relative
risk: 0.82) and mortality (relative risk: 0,75) after approximately
16 years when compared to usual care. This reduction of
mortality was limited to the distal colon, where sigmoidoscopy
allowed early detection of precursor lesions and cancer (Miller
et al. 2019). In per protocol analysis, reduction of the incidence
(by 31–35%) and the mortality (by 38–43%) in patients screened
by flexible sigmoidoscopy when compared to non-screened
patients was confirmed by other randomized controlled trials,
Serum Tests
Serum tests detect circulating DNA in the blood. One study,
which evaluated the Epi proColon test identifying methylated
SEPT9 DN, reported a sensitivity and a specificity of, respectively, 68% and 79% for detecting colorectal cancer (Potter et al.
2014). This test suffers from lower sensitivity than FOBT tests,
and may constitute an alternative in patients non-compliant
with standard screening methods.
Figure 1 Adenoma detected during colorectal cancer screening using
flexible sigmoidoscopy.

11 Screening, Surveillance, and Prevention for colorectal cancer 173
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even if the examination was performed only once (Atkin et al.
2010; Atkin et al. 2017; Holme et al. 2014; Segnan et al. 2011). In
England, national flexible sigmoidoscopy screening has recently
been stopped in favor of initial FIT testing and recommendation for a colonoscopy for patients who are FIT-positive.
Colonoscopy
Colonoscopy itself would, on the surface, appear to be the ideal
screening tool as it ought to have a specificity approaching
100% and a very high sensitivity. That sensitivity is not 100% is
evidenced by a study in which back-to-back colonoscopies
clearly demonstrated that adenomas and occasionally carcinomas can be missed even by the most experienced colonoscopists (Rex et al. 1997). Sensitivity of “blinded” colonoscopy
(without knowledge of preliminary results of CT colonography) was estimated to be of 87.5%, 91.5% and 92.3% for polyps
of diameters of 10mm, 8mm, and 6mm, respectively (Pickhardt
et al. 2003). Compliance with the screening program was evaluated to range between 22.9% to 60.7%, 77.3% of patients did
not need any sedation, and colonoscopy was complete (cecal
intubation) in 97.2% of patients (Bretthauer et al. 2016).
Screening colonoscopy allows detection of colorectal cancer in
0.5% of patients, adenomas in 30.7% and high-risk adenomas
in 10.4% (Bretthauer et al. 2016). A non-randomized prospective study from the USA reported a reduction in the incidence
of colorectal cancer (risk difference ranging between -0.42% to
-0.14%) and in the mortality in patients subjected to colonoscopy screening versus patients not subjected to screening
(Garcia-Albeniz et al. 2017).
When compared to other screening modalities, colonoscopy
performs well but suffers from low uptake. For instance, a
randomized controlled trial, including approximately 30,000
subjects, compared screening using 4 rounds of FIT (and colonoscopy if positive), once-only flexible sigmoidoscopy (and
completion colonoscopy if worrisome findings) and once-only
colonoscopy. Of note, compliance with the screening program
was higher for FIT (73%) and lower for flexible sigmoidoscopy
(31%) and colonoscopy (24%). As a corollary, in intention-totreat screen analysis, FIT allowed identifying more cases of
advanced colorectal neoplasia (4.5%) than both flexible sigmoidoscopy (2.3%) and colonoscopy (2.2%). When looking at patients
who received screening (per protocol analysis), colonoscopy was
the most efficient screening modality (9.1% of advanced colorectal neoplasia), followed by flexible sigmoidoscopy (7.4%) and
FIT (6.1%). Finally, both endoscopic techniques led to less false
negative results. For instance, interval colorectal cancer was
found in 0.13% of patients with negative FIT, when compared to
0.09% after negative flexible sigmoidoscopy and 0.01% after negative colonoscopy (Grobbee et al. 2020).
Nowadays, colonoscopy is not used as a first-line screening
tool in many countries, mostly due to its costs, the increased
risks when compared to less invasive methods and its
availability. Screening colonoscopy only represents approximately 10% of colonoscopies performed in the United Kingdom
(Gavin et al. 2013).
Radiology
CT colonography consists of a low-dose CT combined with
2
CO
insufflation of the colon. The sensitivity of CT colonography depends on the size of the lesion to be identified. For instance, its sensitivity is 93.8% for polyps >10mm but only of
88.7% for polyps >6mm (Pickhardt et al. 2003). A randomized
controlled trial compared screening using CT colonography
(completed by colonoscopy if needed) with screening using
colonoscopy. Participation was 22% for colonoscopy and 34%
for CT colonography. CT colonography identified advanced
colorectal neoplasia in 6.1% of participants versus 8.7% of participants who received colonoscopy. In intention to screen
analysis (looking at patients invited for screening and not at
patients who received screening), CT colonography diagnosed
more advanced colorectal neoplasia (2.1%) than colonoscopy
(1.9%) (Stoop et al. 2012). CT colonography is usually indicated for colorectal cancer screening in patients refusing a
more invasive procedure, and does involve radiation exposure.
Indications for Screening for
Colorectal Cancer
Accepted criteria for an effective screening program are attributed to Wilson and Jungner (Wilson et al. 1968), and were then
refined to include consideration of the at risk population to be
screened (Dobrow et al. 2018). The current recommendation is
to perform screening for colorectal cancer in patients with an
estimated risk of colorectal cancer of at least 3% in 15 years
(Helsingen et al. 2019).
This risk can be evaluated by following guidelines, such as
the NICE NG12 guideline, or by using risk prediction models,
such as the Qcancer calculator, the Bristol–Birmingham
equation, the COLONPREDICT model, the FAST model, the
CAPER score, and others (Helsingen et al. 2019; Herrero et al.
2018; Jeon et al. 2018; Marshall et al. 2011). Estimation of the
risk does not only allow identifying subjects to screen, but also
to choose the most appropriate methods for screening, in terms
of diagnostic accuracy, risks of harm and cost (Hull et al. 2020).
In an average risk population (patients without inflammatory
bowel disease and/or familial history of colorectal cancer), age
constitutes the main risk factor for colorectal cancer, and therefore
most screening programs are based on an age criterion. For
example, the US Preventive Services Task Force (USPSTF) recommends performing screening for colorectal cancer in patients aged
50–75 years (grade A recommendation), in those aged 45–49
years (grade B recommendation) and in selected patients aged
76–85 years (grade C recommendation) (Uspst et al. 2021). Most

174 2 colorectal and anal cancer
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American professional societies recommend to start screening for
colorectal cancer at the age of 45–50 until 75 (Kanth and Inadomi
2021). The United Kingdom Bowel Cancer Screening Program
(BCSP) provides screening for colorectal cancer every two years to
patients aged 60 to 74 years (although the lower age range is
planned to reduce incrementally) using FIT and, in patients with
positive test, a subsequent colonoscopy (Committee UNS).
There is great diversity in terms of modalities used in
national screening programs (Shaukat and Levin 2022) or
recommended by professional societies (Kanth and Inadomi
2021), but nowadays usual testing involves performing FIT
annually of biennially, or performing a single sigmoidoscopy
or colonoscopy. If one of these examinations yields positive
results, complete assessment of the lower gastrointestinal
tract is performed using colonoscopy (Helsingen et al. 2019).
Simulation model comparing these four screening strategies
in a population with a 15-year colorectal cancer risk ranging
between 1 to 7% reported a similar reduction in mortality for
annual FIT, biennial FIT, single sigmoidoscopy and single
colonoscopy (Buskermolen et al. 2019).
Disadvantages of Screening
Although performing a FIT test is without hazard and flexible
sigmoidoscopy is a safe investigation, subsequent colonoscopy has the potential to cause morbidity and even mortality.
Of note, the perforation rate due to colonoscopy ranges between 0.005 and 0.085% (Kim et al. 2019). In addition to this,
false-negative FOBT results are inevitable owing to the
relatively low sensitivity of this investigation and there is concern that a negative result may falsely reassure an individual
to such an extent that they may ignore symptoms and delay
the diagnosis of colorectal cancer (“the certificate of health
effect”). FIT testing does benefit from a higher sensitivity
than FOBT. Finally, CT colonography exposes patients to
radiation and may lead to the development of cancer, and is
limited by its cost and the expertise of the radiologist (Plumb
et al. 2014). Whilst very rare, perforation has also been
reported after CT colonography.
outcome from the disease process for reasons other than early
detection; for example, they are less likely to smoke and more
likely to take exercise. Length bias occurs because intermittent screening tests tend to pick up indolent disease that is
more likely to have a good prognosis than aggressive disease,
which is more likely to be symptomatic and present between
screening intervals. Lead-time bias is a product of early diagnosis itself; early diagnosis inevitably leads to an apparently
improved duration of survival by shifting the point of diagnosis
forward in time so that screening appears to prolong survival
without having a real effect on the time course of the disease.
To allow for these biases, population-based randomized trials
are necessary. In these trials the group randomized to screening must be analyzed as a whole, including those who develop
interval cancers (cancers that present with symptoms after a
negative screening test) and those who do not participate in
the screening process. This group must then be compared with
a randomly selected control group that is not offered screening and only if a significant improvement in disease-specific
mortality is observed in the test group can the screening process be deemed beneficial.
Conclusion
There is high quality evidence that early detection of colorectal cancer by screening reduces colorectal cancer mortality
and that detection of adenomas reduces the incidence of colorectal cancer. Currently, the most commonly used screening
modality is FOBT, and gFOBT has been supplanted by FIT.
Sigmoidoscopy and colonoscopy are clearly effective, but can
only really be used on an individual basis as both uptake and
costs are likely to prohibit its widespread use in population
screening. Current research is focusing on developing new
sensitive and specific tests that will be both safe, less invasive
and more acceptable to the population, and on examining
methods for increasing compliance to screening.
Bias of Screening
The benefits of screening are seemingly obvious, but screening
is associated with inbuilt biases that result in screen-detected
disease being associated with a better prognosis than symptomatic disease regardless of whether or not the screening process has actually affected the outcome.
These biases are volunteer bias, length bias, and lead-time
bias. Volunteer bias results from the fact that invitations to
be screened are more likely to be accepted by those who are
health conscious than those who are not. Therefore, people
who accept invitations to be screened are likely to have a better
Surveillance for Colorectal Cancer
Principles of Surveillance
After treatment for colorectal cancer with a curative intent, follow-up should be performed for early detection and treatment of
eventual local recurrence and metachronous metastatic disease
(with the aim to reduce colorectal cancer-related mortality), and
for early detection of a subsequent (metachronous) colorectal
cancer and/or precancerous lesions (to reduce the incidence of
colorectal cancer in patients with potentially increased susceptibility to colorectal cancer) (Rutter et al. 2020). Analysis of 1994–
2003 data from nine SEER registries revealed that patients
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