Kegg Pathway: Chronic myeloid leukemia

KEGG ID: 05220

Reference Diagram

KEGG Diagram for Chronic myeloid leukemia

Rat

There are 73 IPI Records from this pathway found in Rattus norvegicus.

Location of Chronic myeloid leukemia proteins on Rat Genome

IPI Record Position
1: Acvr1b 7:139937993-139958724
2: Acvr1c 3:40027228-40102299
3: Akt1 6:137640482-137657552
4: Akt2 1:82686233-82726544
5: Akt3 13:92807672-92924984
6: Bad 1:209617373-209626292
7: Bcl2l1 3:143129087-143180199
8: Bcr_predicted 20:13973138-14097816
9: Braf 4:67121585-67243058
10: Cblb 11:49690402-49856762
11: Cblc 1:79092830-79108167
12: Ccnd1 1:205360031-205366632
13: Cdk4 7:67016944-67018905
14: Cdk6 4:27362748-27618018
15: Cdkn1a 20:7379386-7385595
16: Cdkn1b 4:171841696-171846572
17: Cdkn2a 5:108908749-108916380
18: Cep152_predicted 3:112864360-112933661
19: Chuk_predicted 1:249122847-249157179
20: Crk 10:63017662-63040420
21: Crkl 11:85520244-85554667
22: Ctbp1 14:83022822-83050339
23: Ctbp2 1:192463397-192502700
24: E2f1 3:145032716-145054799
25: Evi1_predicted 2:114814416-114885885
26: Gab2 1:154348777-154544906
27: Grb2 10:105722014-105818649
28: Hdac1_predicted 9:78410675-78411442
29: Hdac2 20:41160335-41186492
30: Hras 1:201385708-201388983
31: Ikbkb 16:73805082-73858088
32: Ikbkg X:160407166-160420190
33: Kras 4:182869242-182895106
34: Map2k1 8:68379077-68451583
35: Map2k2 7:10074654-10094005
36: Mapk1 11:85968732-86030389
37: Mapk3 1:185935044-185941249
38: Mdm2_predicted 7:56997925-57033380
39: Myc 7:98953142-98957835
40: Nfkb1 2:233091020-233187501
41: Nfkb2 1:251521559-251527815
42: Nfkbia 6:75729302-75732474
43: Nras 2:198292616-198302308
44: Pik3ca 2:118640277-118670170
45: Pik3cb 8:103886682-103957112
46: Pik3cd_predicted 5:166735338-166750186
47: Pik3cg_predicted 6:50444793-50477111
48: Pik3r1 2:32602673-32675350
49: Pik3r2 16:19171101-19179650
50: Pik3r3 5:136497494-136566473
51: Ptpn11 12:36520522-36557116
52: Q2PYT4_RAT 3:10805164-10907156
53: Raf1 4:151752583-151775613
54: Rb1 15:53828905-53961923
55: Rela 1:208263316-208272419
56: RGD1561600_predicted 17:41160371-41167549
57: RGD1563261_predicted 10:55182226-55247889
58: Runx1 11:32623461-32725409
59: Shc1 2:181616581-181626968
60: Shc2_predicted 7:11583524-11604162
61: Shc3 17:19520647-19649496
62: Smad3 8:67803909-67952056
63: Smad4 18:70432832-70461485
64: Sos1 6:3310823-3394313
65: Sos2 6:91610826-91722481
66: Stat5a 10:89795404-89819732
67: Stat5b 10:89716624-89743137
68: Tgfb1 1:80894439-80910881
69: Tgfb2 13:102718703-102818939
70: Tgfb3 6:110173443-110195215
71: Tgfbr1 5:63976868-64034058
72: Tgfbr2 8:120593595-120680453
73: Tp53 10:56399668-56411149

Mouse

There are 73 IPI Records from this pathway found in Mus musculus.

Location of Chronic myeloid leukemia proteins on Mouse Genome

IPI Record Position
1: Abl1 2:31511748-31626236
2: Acvr1b 15:101002159-101040635
3: Acvr1c 2:58087208-58140193
4: Akt1 :-
5: Akt2 7:27300516-27348213
6: Akt3 1:178862039-178967772
7: Araf X:20005537-20017478
8: Bad 19:7008905-7018937
9: Bcl2l1 2:152458757-152523123
10: Bcr 10:74505374-74626498
11: Braf 6:39543731-39654902
12: Cbl 9:43900257-43985041
13: Cblb 16:51952371-52127389
14: Cblc 7:18939488-18955304
15: Ccnd1 7:144739321-144749220
16: Cdk4 10:126466564-126470344
17: Cdk6 5:3350318-3528231
18: Cdkn1a 17:28821439-28828386
19: Cdkn1b 6:134886110-134890000
20: Chuk 19:44126647-44160756
21: Crk 11:75495505-75522289
22: Crkl 16:17365550-17399818
23: Ctbp1 5:33564581-33591839
24: Ctbp2 7:132825906-132961691
25: E2f1 2:154250848-154261333
26: E2f2 4:135444470-135468133
27: E2f3 13:29914040-29993528
28: Evi1 3:30142380-30331261
29: Gab2 7:96956943-97180228
30: Grb2 11:115460216-115524687
31: Hdac1 4:129018408-129045017
32: Hdac2 10:36663960-36691304
33: Hras1 7:141040427-141045314
34: Ikbkb 8:24124758-24172108
35: Ikbkg X:70677332-70704240
36: IPI00462034 :-
37: IPI00678029 :-
38: Kras 6:145173866-145207390
39: Map2k1 9:63983787-64051430
40: Map2k2 10:80509092-80527465
41: Mapk1 16:16896945-16961016
42: Mapk3 7:126550780-126556964
43: Mdm2 10:117091888-117113704
44: Myc 15:61815052-61820027
45: Nfkb1 3:135292997-135605172
46: Nfkb2 19:46358111-46365401
47: Nfkbia 12:56407731-56410725
48: Nras 3:103187290-103196967
49: Pik3ca 3:32627755-32654380
50: Pik3cb 9:98847754-98949439
51: Pik3cd 4:148492970-148542498
52: Pik3cg 12:32758720-32793858
53: Pik3r1 13:102781018-102868441
54: Pik3r2 8:73697168-73705691
55: Pik3r3 4:115719846-115800988
56: Pik3r5 11:68248320-68314041
57: Ptpn11 5:121391158-121451946
58: Raf1 6:115584217-115642173
59: Rb1 14:71929657-72059946
60: Rela 19:5637490-5648130
61: Runx1 16:92492515-92586187
62: Shc1 3:89504541-89515942
63: Shc2 10:79022632-79040904
64: Shc3 13:51443539-51579580
65: Shc4 2:125318888-125415589
66: Smad3 9:63444773-63556000
67: Smad4 :-
68: Sos1 17:80306507-80388261
69: Sos2 12:70502371-70576665
70: Stat5a 11:100675493-100701259
71: Stat5b 11:100596902-100666816
72: Tgfb1 7:25395762-25413756
73: Tgfb2 1:188324430-188406777
74: Tgfb3 12:86945904-86968101
75: Tgfbr1 4:47374405-47436024
76: Tgfbr2 9:115932995-116023987
77: Trp53 11:69396600-69407992

Human

There are 73 IPI Records from this pathway found in Homo sapiens.

Location of Chronic myeloid leukemia proteins on Human Genome

IPI Record Position
1: ABL1 9:132579089-132752883
2: ACVR1B 12:50494095-50677124
3: ACVR1C 2:158097152-158193645
4: AKT1 14:104306734-104333125
5: AKT2 19:45430084-45483036
6: AKT3 1:241718158-242080053
7: ARAF X:47305460-47316249
8: BAD 11:63793878-63808740
9: BCL2L1 20:29715916-29774366
10: BCR 22:21852552-21990224
11: BRAF 7:140080754-140271033
12: CBL 11:118582200-118684066
13: CBLB 3:106859799-107070577
14: CBLC 19:49972966-49995736
15: CCND1 11:69165054-69178422
16: CDK4 12:56428272-56432431
17: CDK6 7:92072175-92301148
18: CDKN1A 6:36754413-36763094
19: CDKN1B 12:12761576-12766569
20: CDKN2A 9:21957751-21984490
21: CRK 17:1270733-1306302
22: CRKL 22:19601722-19638034
23: CTBP1 4:1195228-1232925
24: CTBP2 10:126666894-126839072
25: E2F1 20:31727147-31737871
26: E2F2 1:23705509-23730300
27: E2F3 6:20510377-20601921
28: EVI1 3:170283999-170348216
29: GAB2 11:77603990-77806414
30: GRB2 17:70825753-70913384
31: HDAC1 1:32530274-32571823
32: HDAC2 6:114368571-114399029
33: HRAS 11:522243-525572
34: IKBKB 8:42247986-42309130
35: IKBKG X:153423653-153446455
36: KRAS 12:25249449-25295121
37: MAP2K1 15:64466674-64570935
38: MAP2K2 19:4041331-4075126
39: MAPK1 22:20446873-20551730
40: MAPK3 16:30032951-30042116
41: MDM2 12:67488247-67520481
42: MYC 8:128817498-128822853
43: NFKB1 4:103641518-103757506
44: NFKB2 10:104144320-104152271
45: NFKBIA 14:34940475-34943703
46: NRAS 1:115048613-115102147
47: PIK3CA 3:180349005-180435189
48: PIK3CB 3:139856921-139960875
49: PIK3CD 1:9634390-9711564
50: PIK3CG 7:106292977-106334801
51: PIK3R1 5:67547360-67633403
52: PIK3R2 19:18125016-18142343
53: PIK3R3 1:46278399-46371054
54: PIK3R5 17:8722953-8756559
55: PTPN11 12:111340919-111432099
56: RAF1 3:12600108-12680678
57: RB1 13:47775912-47954123
58: RELA 11:65177649-65186959
59: RUNX1 21:35081975-35343511
60: SHC1 1:153201398-153213476
61: SHC2 19:367593-411903
62: SHC3 9:90817880-90983502
63: SHC4 15:46903227-47042933
64: SMAD3 15:65145249-65274586
65: SMAD4 18:46810611-46860142
66: SOS1 2:39066469-39201067
67: SOS2 14:49654812-49767751
68: STAT5A 17:37693091-37717484
69: STAT5B 17:37604722-37681950
70: TGFB1 19:46528254-46551628
71: TGFB2 1:216586200-216684584
72: TGFB3 14:75494195-75517242
73: TGFBR1 9:100907233-100956406
74: TGFBR2 3:30622998-30710635
75: TP53 17:7512464-7531642

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Recent Literature

PU.1 expression is restored upon treatment of Chronic myeloid leukemia patients.

Cancer Lett. 2008 Jul 15;
Albajar M, Gutierrez P, Richard C, Rosa-Garrido M, Gómez-Casares MT, Steegmann JL, León J, Delgado MD

The PU.1 transcription factor is a crucial regulator of hematopoiesis which expression is altered in various leukemic processes. Our previous work in Chronic myeloid leukemia (CML) cells demonstrated that interferon-alpha upregulated PU.1 expression. Here we show that expression of PU.1 is severely impaired in patients with CML at diagnosis. However, the PU.1 suppression is abrogated in patients in remission, after interferon-alpha or imatinib treatment. These effects are not found in patients with other myeloproliferative diseases such as polycythemia vera or essential thrombocythemia. PU.1 could, therefore, be used as an additional marker of the response to the treatment of the CML.

Distinct Differences in the Induction of Stimulus-mediated Superoxide Generation by Polymorphonuclear Neutrophils Isolated From Patients With Different Types of leukemia.

J Formos Med Assoc. 2008 Jul; 107(7): 513-8
Tsai LY, Tung JN, Liu TZ

Background/Purpose: Accumulating literature has documented that there exists a distinct difference in nitro blue tetrazolium reduction capacity by the polymorphonuclear neutrophils (PMNs) from patients with different types of leukemia. The underlying mechanism associated with this observed phenomenon remains to be clarified. Methods: The production of O2-, monitored by a validated probe (lucigenin)-based ultraweak chemiluminescence, in resting and/or phorbol-1,2-myristate-1,3-acetate (PMA)- and zymosan-stimulated systems of various leukemic PMNs was measured. In parallel with these studies, we also quantified superoxide dismutase isozymes (Cu, Zn-SOD, Mn-SOD) from these isolated PMNs by established methods. Results: A marked increase was observed in O2- generation by the PMNs from patients with acute myeloid leukemia (AML), and Chronic myeloid leukemia (CML), but not from patients with acute lymphocytic leukemia (ALL) when compared with controls either in the resting condition or after being stimulated by either PMA or zymosan. In parallel, we also quantified SOD isozyme activities and found that the total and CuZn-SOD of PMNs from AML were indeed significantly lower than either controls or ALL, implying that higher levels of O2- generation might result from a deficiency in this O2- metabolizing enzyme. Conclusion: Our data suggest that a distinct difference in the capability of O2- generation under stimulated conditions between PMNs from ALL and AML (or CML) may be of potential taxonomic or even therapeutic usefulness.

The prevalence of signs and symptoms of childhood leukemia and lymphoma in Fars Province, Southern Iran.

Cancer Detect Prev. 2008 Jul 14;
Karimi M, Mehrabani D, Yarmohammadi H, Jahromi FS

Background: leukemia and lymphomas are still the common childhood cancers in Iran. This study was undertaken to determine the prevalence of signs and symptoms of these malignancies in children of Fars Province, Southern Iran. Methods: A total of 368 cases of children who were less than 15 years old and diagnosed as acute lymphocytic leukemia (ALL, n=211), acute myeloid leukemia (AML, n=64), Burkitt lymphoma (BL, n=40), Chronic myeloid leukemia (CML, n=5), Hodgkin's disease (HD, n=33) or non-Burkitt-type, non-Hodgkin's lymphoma (NBNHL, n=15) referring to the hospitals of Shiraz University of Medical Sciences from April 1997 to March 2002 were enrolled. A questionnaire was provided to record the age, median age at the onset of the disease, sex, type of malignancy and the signs and symptoms at the time of presentation. Results: The common sign or symptoms were fever (74%), in ALL, AML, NHL, and BL patients, hepatosplenomegaly (100%) in CML patients, and lymphadenopathy (54%) and fever (54%) in Hodgkin's disease. Conclusion: Knowledge of signs and symptoms and types of presentations of childhood leukemia and lymphoma may help a physician to improve the patient's outcome. This study revealed that attention to uncommon signs and symptoms in history taking and physical examination together with laboratory tests may increase the physicians' awareness and better diagnosis of pediatric malignancies and would also be beneficial for the patient.