2018
DOI: 10.1186/s12865-018-0248-x
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In silico prediction of cancer immunogens: current state of the art

Abstract: Cancer kills 8 million annually worldwide. Although survival rates in prevalent cancers continue to increase, many cancers have no effective treatment, prompting the search for new and improved protocols. Immunotherapy is a new and exciting addition to the anti-cancer arsenal. The successful and accurate identification of aberrant host proteins acting as antigens for vaccination and immunotherapy is a key aspiration for both experimental and computational research. Here we describe key elements of in silico pr… Show more

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Cited by 9 publications
(3 citation statements)
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“…Cancer is a chronic disease with varying degrees of manifestations characterized by abnormal cell division and high mortality and morbidity rates, in addition, it is considered the second leading cause of death worldwide with an estimated 8 million death annually and 18 million new cases per year [1][2][3][4][5]. Although the cancer survival rate increased dramatically over the years in many countries, yet more work are needed to improve the prognosis of patients suffering from this debilitating disease [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…Cancer is a chronic disease with varying degrees of manifestations characterized by abnormal cell division and high mortality and morbidity rates, in addition, it is considered the second leading cause of death worldwide with an estimated 8 million death annually and 18 million new cases per year [1][2][3][4][5]. Although the cancer survival rate increased dramatically over the years in many countries, yet more work are needed to improve the prognosis of patients suffering from this debilitating disease [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…The core epitopes (YRYGYTRVA/ YGYTRVAEM) were noticed to be the dominant binders with 7 alleles for each(HLA-C*06:02,HLA-C*07:01,HLA-C*12:03,HLA-C*14:02,HLA-B*27:05,HLA-C*07:02,HLA-B*39:01/HLA-C*03:03,HLA-C*14:02,HLA-C*12:03,HLA-C*06:02,HLA-B*08:01,HLA-C*15:02,HLA-C*07:01). Followed by (YLYRYGYTR,WRFDVKAQM, ALWSAVTPL, LLLQKQLSL, LIADKWPAL, KLFGFCPTR, MYPMYRFTE, FLIADKWPA) which binds with (8, 5, 5, 3, 3, 5, 1, 3) alleles. (Table 3).…”
Section: Resultsmentioning
confidence: 99%
“…In the present study, protein overexpression of HBXIP was demonstrated by searching a public database. In the latest research, public databases have been used for predicting cancer immunogens 32 and identifying candidate cancer biomarkers 33 . To the best of our knowledge, this is the first study to investigate HBXIP mRNA expression in human HNSCC using the Oncomine database, verify it with clinical samples, and then evaluate the clinicopathological characteristics and prognostic value of HBXIP.…”
Section: Discussionmentioning
confidence: 99%