ASCO 2006 update of recommendations for the use of tumor markers in gastrointestinal cancer.

By G. Locker, S. Hamilton, Jules E. Harris, J. Jessup, N. Kemeny, J. Macdonald, M. Somerfield, D. Hayes, R. Bast. Journal of Clinical Oncology, 2006

1,584 citations recorded by the source corpus.

Subfields: Oncology

View Paper: https://www.semanticscholar.org/paper/15abc0cf8f9cd4255c85f04c5880a0753cfa9915

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In Oncology

Citations in the corpus

Localised Colon Cancer: ESMO Clinical Practice Guidelines for Diagnosis, Treatment and Follow-up. (2020, background): “In addition, serum levels of carcinoembryonic antigen (CEA), although not sufficient for colon cancer diagnosis themselves in the absence of a confirmatory tumour biopsy (because of low specificity and sensitivity), should be evaluated before surgery and monitored during the follow-up period to help”
Artificial intelligence (AI) and big data in cancer and precision oncology (2020, methodology): “…prognosis of disease such as circulating cancer antigen 125 for ovarian cancer for early detection [27], carcinoembryonic antigen to monitor recurrence of colorectal cancer [28,29] and mutations in estrogen receptor 1 (ESR1) is used to predict prognosis and treatment outcomes in breast cancer [30].”
Circulating Exosomal microRNAs as Biomarkers of Colon Cancer (2014, neutral): “stages of the disease [4].”
Towards the introduction of the ‘Immunoscore’ in the classification of malignant tumours (2013, methodology): “The most common system for classifying the extent of spread of cancer is the American Joint Committee on Cancer/Union Internationale Contre le Cancer (AJCC/UICC) TNM classification [2–4].”
Immune infiltration in human tumors: a prognostic factor that should not be ignored (2010, background): “Genetic and cellular markers of tumors, such as p53 expression, or MSI status of the tumor, have been proposed to predict relapse and patient survival, but have not reached a degree of confidence to be recommended for use in the clinic (Locker et al., 2006).”
Cancer classification using the Immunoscore: a worldwide task force (2012, background): “This classification, based only on tumor invasion parameters, has been shown to be valuable in estimating the outcome of patients with a variety of cancers [1-3].”