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Therefore, we developed an integrated database of IG\/TR data reported in cancer studies (the Cancer-related Immunological Gene Database [CIG-DB]).<\/jats:p><\/jats:sec><jats:sec><jats:title>Description<\/jats:title><jats:p>This database is designed as a platform to explore public human and murine IG\/TR genes sequenced in cancer studies. A total of 38,308 annotation entries for IG\/TR proteins were collected from GenBank\/DDBJ\/EMBL and the Protein Data Bank, and 2,740 non-redundant corresponding MEDLINE references were appended. Next, we filtered the MEDLINE texts by MeSH terms, titles, and abstracts containing keywords related to cancer. After we performed a manual check, we classified the protein entries into two groups: 611 on cancer therapy (Group I) and 1,470 on hematological tumors (Group II). Thus, a total of 2,081 cancer-related IG and TR entries were tabularized. To effectively classify future entries, we developed a computational method based on text mining and canonical discriminant analysis by parsing MeSH\/title\/abstract words. We performed a leave-one-out cross validation for the method, which showed high accuracy rates: 94.6% for IG references and 94.7% for TR references. We also collected 920 epitope sequences bound with IG\/TR. The CIG-DB is equipped with search engines for amino acid sequences and MEDLINE references, sequence analysis tools, and a 3D viewer. This database is accessible without charge or registration at<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.scchr-cigdb.jp\/\" ext-link-type=\"uri\">http:\/\/www.scchr-cigdb.jp\/<\/jats:ext-link>, and the search results are freely downloadable.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The CIG-DB serves as a bridge between immunological gene data and cancer studies, presenting annotation on IG, TR, and their epitopes. This database contains IG and TR data classified into two cancer-related groups and is able to automatically classify accumulating entries into these groups. The entries in Group I are particularly crucial for cancer immunotherapy, providing supportive information for genetic engineering of novel antibody medicines, tumor-specific TR, and peptide vaccines.<\/jats:p><\/jats:sec>","DOI":"10.1186\/1471-2105-11-398","type":"journal-article","created":{"date-parts":[[2010,7,27]],"date-time":"2010-07-27T18:14:00Z","timestamp":1280254440000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["CIG-DB: the database for human or mouse immunoglobulin and T cell receptor genes available for cancer studies"],"prefix":"10.1186","volume":"11","author":[{"given":"Yoji","family":"Nakamura","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoyoshi","family":"Komiyama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Motoki","family":"Furue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takashi","family":"Gojobori","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasuto","family":"Akiyama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,7,27]]},"reference":[{"key":"3855_CR1","volume-title":"Cellular and Molecular Immunology","author":"AK Abbas","year":"2007","unstructured":"Abbas AK, Lichtman AH, Pillai S: Cellular and Molecular Immunology. 6th edition. 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