| Literature DB >> 23852704 |
M J Duffy1, R Lamerz, C Haglund, A Nicolini, M Kalousová, L Holubec, C Sturgeon.
Abstract
Biomarkers currently play an important role in the detection and management of patients with several different types of gastrointestinal cancer, especially colorectal, gastric, gastro-oesophageal junction (GOJ) adenocarcinomas and gastrointestinal stromal tumors (GISTs). The aim of this article is to provide updated and evidence-based guidelines for the use of biomarkers in the different gastrointestinal malignancies. Recommended biomarkers for colorectal cancer include an immunochemical-based fecal occult blood test in screening asymptomatic subjects ≥50 years of age for neoplasia, serial CEA levels in postoperative surveillance of stage II and III patients who may be candidates for surgical resection or systemic therapy in the event of distant metastasis occurring, K-RAS mutation status for identifying patients with advanced disease likely to benefit from anti-EGFR therapeutic antibodies and microsatellite instability testing as a first-line screen for subjects with Lynch syndrome. In advanced gastric or GOJ cancers, measurement of HER2 is recommended in selecting patients for treatment with trastuzumab. For patients with suspected GIST, determination of KIT protein should be used as a diagnostic aid, while KIT mutational analysis may be used for treatment planning in patients with diagnosed GISTs.Entities:
Keywords: EGTM; biomarker; colorectal cancer; gastrointestinal cancer; guidelines; tumor markers
Mesh:
Substances:
Year: 2013 PMID: 23852704 PMCID: PMC4217376 DOI: 10.1002/ijc.28384
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396
Biomarkers recommended by EGTM for use in gastrointestinal malignancies
| Marker | Cancer | Use | LOE | SOR |
|---|---|---|---|---|
| FIT-based FOBT | CRC | Screening | I | A |
| CEA | CRC | Prognosis, especially in stage II patients | III | A |
| CEA | CRC | Postoperative surveillance | I | A |
| CEA | CRC | Monitoring therapy in advanced disease | III | A |
| CRC | Predicting response/resistance to anti-EGFR antibodies | I | A | |
| MSI/dMMR | CRC | Prescreen for Lynch syndrome | I | A |
| MSI/dMMR | CRC | Prognosis, especially in stage II disease | I | A |
| HER2 | Gastric/GOJ | Predicting response to trastuzumab | I | A/B |
| c-KIT | GIST | Diagnostic aid | III | A |
| GIST | Therapy decision making with imatinib | III | A/B |
Mutational status, i.e., patients with specific mutations in K-RAS are unlikely to benefit from the anti-EGFR antibodies, cetuximab or panitumumab.
Gene amplification or overexpression, i.e., benefit from trastuzumab depends on HER2 gene amplification or overexpression.
Mutational status, i.e., mutational status of c-KIT may be used to determine optimum dose of imatinib for patients with advanced GIST.Abbreviations: LOE, level of evidence3,4; SOR, strength of recommendation; 4FIT, fecal immunochemical test; FOBT, fecal occult blood testing; dMMR, defective mismatch repair; FU, fluorouracil; GOJ, gastro-oesophageal junction; GIST, gastrointestinal stromal tumor.
Advantages of FITs compared to gFOBTs
| • FITs have better analytical sensitivity and specificity than gFOBTs |
| • FITs have greater sensitivity for advanced adenomas than gFOBTs |
| • Use of FITs leads to higher participation rates than use of gFOBTs |
| • In contrast to gFOBTs, FITs can be automated |
| • Use of FITs require fewer stool samples than gFOBTs |
| • FITs are quantitative or at least semi-quantitative |
| • FITs provide an adjustable cut-off point |
| • With FITs, no dietary or medication restriction is necessary |
| • FITs are more cost-effective than gFOBTs |
Summarized from refs.10–15.
gFOBTs detect the presence of any blood, FITs are specific for human blood.
Recent studies reporting a prognostic impact of preoperative CEA in patients with CRC cancer
| No. of patients | Tumor stages | Key findings | Ref. |
|---|---|---|---|
| 9083 | I-IV | CEA an independent prognostic marker, prognosis was worse in high CEA patients with a lower stage compared to low CEA patients with a higher stage. High CEA as strong as nodal positivity for predicting poor outcome. | ( |
| 474 | I-III | CEA an independent prognostic marker, CEA prognostic in stage II patients. | ( |
| 1637 | I-III | CEA an independent prognostic marker in total population, as well as in patients with either stages II or III disease | ( |
| 1263 | I-III | CEA an independent prognostic marker in total population, as well as in patients with either stages II or III disease | ( |
| 82 | IIA | CEA prognostic in stage IIA patients | ( |
| 2230 | I-IV | CEA an independent prognostic marker | ( |
| 572 | II | CEA prognostic in stage II patients | ( |
Investigated colon cancer patients only.
Established and emerging therapeutic targets for the treatment of colorectal cancer
| Target | Drug | Phase of Development | Ref. |
|---|---|---|---|
| EGFR | cetuximab, panitumumab | In clinical use | |
| VEGF | Bevacizumab, aflibercept | In clinical use | |
| Multi kinases | Regorafenib | In clinical use | |
| BRAF (mutant) | Vemutafenib, dabrafenib | In development | |
| MEK | Selutmetinib, pimasertib | In development | |
| mTOR | Evorilimus | In development | |
| PI3K | LY294002, GDC0941 | In development |
Regorafenib inhibits VEGFR1, VEGFR2, VEGFR3, PDGFRbeta, Tie-2, FGFR1, RET and BRAF.
Emerging biomarkers for gastrointestinal cancers
| Marker | Cancer | Potential use | Ref. |
|---|---|---|---|
| Multigene profiles | CRC | Determining prognosis | |
| TIMP-1 | CRC | Prognosis | |
| CA 19-9 | CRC | Postoperative surveillance | |
| Stool DNA profiles | CRC | Screening | |
| Septin 9 | CRC | Screening | |
| TFAP2E | CRC | Chemoprediction | |
| CA 242 | Gastric | Prognosis, monitoring therapy | |
| DOG1 | GIST | Diagnostic aid |
Amongst the best-validated multigene signatures are the ColoPrint test (Agendia) (129), 634-geneColDx (Almac) (130), and the Oncotype DX colon cancer assay (Genomic Health) (131).
Abbreviations: CRC, colorectal cancer; GIST, gastrointestinal cancer.