LEADER 02733nam 2200577Ia 450 001 9910966994803321 005 20251117080507.0 010 $a1-61942-801-6 035 $a(CKB)2670000000160370 035 $a(EBL)3017915 035 $a(SSID)ssj0000687661 035 $a(PQKBManifestationID)12328330 035 $a(PQKBTitleCode)TC0000687661 035 $a(PQKBWorkID)10756484 035 $a(PQKB)10112702 035 $a(MiAaPQ)EBC3017915 035 $a(Au-PeEL)EBL3017915 035 $a(CaPaEBR)ebr10654886 035 $a(OCoLC)923654316 035 $a(BIP)33855277 035 $a(EXLCZ)992670000000160370 100 $a20120312d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCancer clusters /$fBradley D. Germanno, editor 205 $a1st ed. 210 $aNew York $cNova Science Publishers$dc2011 215 $a1 online resource (158 p.) 225 0$aCancer etiology, diagnosis, and treatments 300 $aDescription based upon print version of record. 311 08$a1-61209-516-X 320 $aIncludes bibliographical references and index. 327 $aRole of tegulatory T cells (Tregs) in cancer progression and interference with immunotherapy of cancer -- Symptom clusters of cancer patients -- Oncogene detection and pathological stage identification by computer science techniques -- Patient-centered symptom clustering in advanced cancer patients -- Intraoperative immunomagnetic separation of CK+ cells to identify occult micrometastases of NSCLC and esophageal cancer -- Surveillance and detection of space-time clusters using adaptive Bayes factor. 330 $aThis new book examines the role of T cells in cancer progression and their interference with the immunotherapy of cancer, as well as patient-centered symptom clustering in advanced cancer patients. In addition, this book presents and discusses the surveillance and detection methods to locate clusters of cancer cases to indicate the occurrence of an outbreak or epidemic. The intraoperative immunomagnetic separation of CK+ cells to identify occult micrometastases of NSCLC and esophageal cancer is explored, as is the oncogene detection and pathological stage identification by computer science algorithm techniques. 410 0$aCancer Etiology, Diagnosis and Treatments 606 $aCancer 606 $aCluster analysis 615 0$aCancer. 615 0$aCluster analysis. 676 $a616.99/4 701 $aGermanno$b Bradley D$01863851 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910966994803321 996 $aCancer clusters$94470537 997 $aUNINA