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  • MT-ATP6
CANCER UROTHELIAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
BLCA TCGA
Dictionary
Urothelial cancer
Human cancer
Bladder urothelial carcinoma
BLADDER UROTHELIAL CARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

MT-ATP6 is not prognostic in Bladder Urothelial Carcinoma (TCGA)


Stage:
Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 5834.81
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 12272.2
Number of samples 169
Samples
Sample Description pTPM
TCGA-XF-A8HG-01A 69 years, male, white, stage:Stage III, dead, 467 days 57810.8
TCGA-ZF-A9R0-01A 82 years, male, white, stage:Stage III, dead, 680 days 48001.3
TCGA-DK-A3IK-01A 87 years, male, white, stage:Stage IV, dead, 146 days 42834.0
TCGA-XF-A9SH-01A 65 years, female, asian, stage:Stage II, dead, 1971 days 38087.9
TCGA-XF-A8HF-01A 80 years, male, white, stage:Stage III, dead, 2954 days 33276.4
TCGA-E7-A4XJ-01A 66 years, male, asian, stage:Stage II, dead, 68 days 33011.4
TCGA-CF-A9FL-01A 85 years, male, asian, stage:Stage III, dead, 565 days 31406.8
TCGA-FD-A5BV-01A 47 years, female, white, stage:Stage III, dead, 163 days 31327.6
TCGA-GV-A3QF-01A 79 years, male, white, stage:Stage IV, dead, 617 days 30994.1
TCGA-FJ-A3ZE-01A 65 years, male, white, stage:Stage IV, dead, 324 days 29487.8
TCGA-CU-A0YO-01A 84 years, male, white, stage:Stage IV, dead, 149 days 27630.9
TCGA-FJ-A3Z9-01A 72 years, male, white, stage:'--, dead, 385 days 26463.6
TCGA-GV-A3QH-01A 67 years, male, white, stage:Stage II, dead, 258 days 26364.1
TCGA-XF-A8HH-01A 61 years, female, white, stage:Stage IV, dead, 57 days 24934.1
TCGA-ZF-A9R9-01A 58 years, male, white, stage:Stage IV, dead, 864 days 22786.0
TCGA-4Z-AA7R-01A 73 years, male, black or african american, stage:Stage IV, dead, 522 days 22476.9
TCGA-BT-A3PK-01A 80 years, male, white, stage:Stage II, dead, 303 days 22205.6
TCGA-FD-A3SS-01A 66 years, male, white, stage:Stage IV, dead, 391 days 21959.7
TCGA-G2-A2EC-01A 58 years, female, black or african american, stage:Stage II, dead, 696 days 21694.6
TCGA-CF-A47T-01A 58 years, female, asian, stage:Stage II, dead, 385 days 21540.6
TCGA-FD-A62O-01A 74 years, male, white, stage:Stage IV, dead, 216 days 21387.9
TCGA-4Z-AA7N-01A 65 years, male, white, stage:Stage III, dead, 1367 days 21351.5
TCGA-G2-A2EL-01A 77 years, male, white, stage:Stage II, dead, 819 days 20830.5
TCGA-GU-A42R-01A 68 years, male, white, stage:Stage IV, dead, 577 days 20760.6
TCGA-DK-AA75-01A 82 years, male, white, stage:Stage III, dead, 340 days 20422.0
TCGA-DK-A3IL-01A 79 years, female, white, stage:Stage IV, dead, 413 days 20116.5
TCGA-FD-A6TI-01A 73 years, male, white, stage:Stage IV, dead, 294 days 19484.0
TCGA-GV-A3JV-01A 66 years, male, white, stage:Stage IV, dead, 434 days 18704.1
TCGA-FD-A3SJ-01A 59 years, male, white, stage:Stage IV, dead, 739 days 18702.3
TCGA-XF-A8HI-01A 57 years, female, white, stage:Stage IV, dead, 544 days 18193.1
TCGA-BT-A20W-01A 71 years, male, white, stage:Stage II, dead, 254 days 18103.1
TCGA-2F-A9KO-01A 63 years, male, white, stage:Stage IV, dead, 734 days 17845.8
TCGA-ZF-A9R3-01A 53 years, female, white, stage:Stage II, dead, 949 days 17743.9
TCGA-BT-A3PH-01A 76 years, male, white, stage:Stage IV, dead, 142 days 17596.0
TCGA-CU-A0YR-01A 83 years, male, white, stage:Stage IV, dead, 460 days 17561.4
TCGA-BT-A20Q-01A 73 years, male, white, stage:Stage IV, dead, 593 days 17195.9
TCGA-BT-A20J-01A 75 years, male, white, stage:Stage II, dead, 579 days 17049.7
TCGA-K4-A4AC-01A 83 years, male, white, stage:Stage II, dead, 278 days 16898.9
TCGA-XF-A9SP-01A 59 years, male, white, stage:Stage III, dead, 454 days 16876.9
TCGA-XF-AAN0-01A 68 years, male, white, stage:Stage IV, dead, 1718 days 16861.7
TCGA-GU-A42P-01A 72 years, male, white, stage:Stage IV, dead, 332 days 16539.6
TCGA-BT-A2LB-01A 73 years, female, white, stage:Stage III, dead, 492 days 16469.9
TCGA-C4-A0F7-01A 77 years, male, stage:Stage IV, dead, 62 days 16439.8
TCGA-XF-A8HC-01A 79 years, male, asian, stage:Stage IV, dead, 200 days 16182.3
TCGA-2F-A9KW-01A 67 years, female, white, stage:Stage III, dead, 254 days 16177.4
TCGA-FD-A62P-01A 76 years, male, white, stage:Stage II, dead, 191 days 16105.2
TCGA-GU-AATQ-01A 68 years, male, white, stage:Stage III, dead, 213 days 15708.4
TCGA-BT-A20N-01A 72 years, male, stage:Stage III, dead, 795 days 15473.5
TCGA-BL-A3JM-01A 62 years, male, white, stage:Stage III, dead, 205 days 15435.1
TCGA-FD-A6TG-01A 73 years, male, white, stage:Stage IV, dead, 93 days 14936.4
TCGA-XF-A9SV-01A 82 years, male, white, stage:Stage IV, dead, 388 days 14900.5
TCGA-CU-A72E-01A 76 years, male, white, stage:Stage IV, dead, 413 days 14672.0
TCGA-CU-A5W6-01A 70 years, male, white, stage:Stage III, dead, 56 days 14540.4
TCGA-BT-A0YX-01A 70 years, female, white, stage:Stage III, dead, 400 days 14483.6
TCGA-DK-A3IQ-01A 74 years, male, white, stage:Stage III, dead, 539 days 14443.2
TCGA-FD-A3SM-01A 70 years, male, white, stage:Stage IV, dead, 547 days 14293.1
TCGA-UY-A78M-01A 81 years, female, asian, stage:Stage IV, dead, 690 days 14199.7
TCGA-4Z-AA7Q-01A 79 years, male, white, stage:Stage III, dead, 510 days 14196.5
TCGA-G2-A3IE-01A 51 years, male, white, stage:Stage II, dead, 612 days 13779.2
TCGA-2F-A9KP-01A 66 years, male, white, stage:Stage IV, dead, 364 days 13518.9
TCGA-XF-AAMT-01A 75 years, female, white, stage:Stage IV, dead, 90 days 12469.6
TCGA-DK-A1A3-01A 60 years, male, white, stage:Stage IV, dead, 665 days 12464.0
TCGA-DK-AA6W-01A 78 years, male, white, stage:Stage II, dead, 415 days 12426.5
TCGA-BT-A20X-01A 56 years, male, white, stage:Stage IV, dead, 251 days 12342.2
TCGA-GC-A3BM-01A 70 years, male, white, stage:Stage II, dead, 651 days 12269.6
TCGA-5N-A9KM-01A 73 years, female, white, stage:Stage III, dead, 530 days 12263.1
TCGA-FD-A6TF-01A 80 years, female, white, stage:Stage IV, dead, 69 days 12076.5
TCGA-GU-A42Q-01A 67 years, male, white, stage:Stage III, dead, 344 days 11995.4
TCGA-UY-A78K-01A 60 years, male, white, stage:Stage IV, dead, 536 days 11982.6
TCGA-UY-A78N-01A 80 years, male, white, stage:Stage IV, dead, 2641 days 11894.1
TCGA-HQ-A5NE-01A 57 years, male, stage:Stage III, dead, 370 days 11763.3
TCGA-XF-A9SK-01A 65 years, male, white, stage:Stage IV, dead, 486 days 11696.7
TCGA-ZF-AA4U-01A 70 years, male, white, stage:Stage III, dead, 262 days 11520.7
TCGA-4Z-AA82-01A 59 years, male, black or african american, stage:Stage IV, dead, 1556 days 11185.3
TCGA-DK-AA6Q-01A 61 years, female, white, stage:Stage IV, dead, 413 days 11050.0
TCGA-FD-A3SQ-01A 62 years, male, white, stage:Stage IV, dead, 1423 days 10878.0
TCGA-XF-AAN1-01A 75 years, female, stage:Stage III, dead, 941 days 10876.9
TCGA-DK-A1AB-01A 74 years, female, white, stage:Stage IV, dead, 508 days 10777.2
TCGA-CU-A0YN-01A 60 years, male, white, stage:Stage III, dead, 393 days 10710.4
TCGA-FD-A5C0-01A 61 years, male, white, stage:Stage IV, dead, 550 days 10682.5
TCGA-XF-AAMJ-01A 70 years, male, asian, stage:Stage III, dead, 1670 days 10133.7
TCGA-BT-A2LD-01A 78 years, female, white, stage:Stage IV, dead, 623 days 10054.3
TCGA-FD-A6TD-01A 77 years, male, white, stage:Stage III, dead, 386 days 9942.1
TCGA-SY-A9G0-01A 82 years, male, white, stage:Stage IV, dead, 1008 days 9802.7
TCGA-4Z-AA7S-01A 66 years, male, black or african american, stage:Stage III, dead, 1064 days 9725.9
TCGA-E7-A3X6-01A 70 years, male, white, stage:Stage II, dead, 904 days 9710.9
TCGA-XF-AAMW-01A 79 years, female, white, stage:Stage IV, dead, 253 days 9591.3
TCGA-DK-A1A5-01A 79 years, male, white, stage:Stage II, dead, 65 days 9392.6
TCGA-HQ-A5ND-01A 78 years, male, stage:Stage IV, dead, 274 days 9286.1
TCGA-G2-A2ES-01A 85 years, male, white, stage:Stage II, dead, 1004 days 9141.3
TCGA-ZF-AA4N-01A 74 years, male, white, stage:Stage II, dead, 88 days 9066.6
TCGA-FD-A3B6-01A 75 years, male, white, stage:Stage II, dead, 1005 days 9039.4
TCGA-FD-A3SL-01A 60 years, male, white, stage:Stage IV, dead, 712 days 8911.9
TCGA-E5-A4TZ-01A 64 years, male, white, stage:Stage IV, dead, 467 days 8833.5
TCGA-XF-A9SZ-01A 79 years, male, white, stage:Stage IV, dead, 859 days 8726.3
TCGA-E7-A541-01A 66 years, male, white, stage:Stage II, dead, 778 days 8694.2
TCGA-2F-A9KR-01A 59 years, female, stage:Stage III, dead, 3183 days 8617.9
TCGA-XF-AAMX-01A 87 years, female, black or african american, stage:Stage III, dead, 206 days 8572.2
TCGA-XF-AAN8-01A 74 years, female, white, stage:Stage III, dead, 118 days 8560.0
TCGA-ZF-A9RE-01A 78 years, female, white, stage:Stage II, dead, 106 days 8469.7
TCGA-FD-A3B3-01A 74 years, female, white, stage:Stage III, dead, 974 days 8420.3
TCGA-ZF-AA52-01A 70 years, male, white, stage:Stage III, dead, 1077 days 8243.0
TCGA-E7-A97P-01A 73 years, male, asian, stage:Stage II, dead, 437 days 8212.4
TCGA-5N-A9KI-01A 76 years, female, white, stage:Stage III, dead, 76 days 8038.3
TCGA-DK-A3IU-01A 58 years, male, white, stage:Stage II, dead, 706 days 7850.7
TCGA-BT-A20V-01A 59 years, female, black or african american, stage:Stage IV, dead, 154 days 7783.0
TCGA-K4-A5RI-01A 67 years, female, white, stage:Stage III, dead, 356 days 7752.5
TCGA-ZF-AA4T-01A 65 years, male, white, stage:Stage IV, dead, 599 days 7520.8
TCGA-XF-A9SL-01A 69 years, male, white, stage:Stage IV, dead, 2020 days 7434.8
TCGA-XF-A9SU-01A 74 years, female, white, stage:Stage IV, dead, 182 days 7333.1
TCGA-GU-A767-01A 81 years, male, white, stage:Stage IV, dead, 144 days 7315.3
TCGA-XF-A9ST-01A 68 years, male, white, stage:Stage III, dead, 128 days 7285.6
TCGA-XF-AAN2-01A 73 years, male, white, stage:Stage II, dead, 1869 days 7274.1
TCGA-YC-A9TC-01A 71 years, male, white, stage:Stage IV, dead, 20 days 7174.7
TCGA-GC-A3I6-01A 45 years, male, white, stage:Stage III, dead, 630 days 7050.3
TCGA-FD-A43Y-01A 65 years, male, white, stage:Stage III, dead, 474 days 6860.7
TCGA-BT-A0S7-01A 75 years, male, white, stage:Stage III, dead, 200 days 6828.6
TCGA-DK-A3IN-01A 72 years, male, white, stage:Stage III, dead, 250 days 6769.6
TCGA-ZF-AA4R-01A 67 years, male, white, stage:Stage IV, dead, 1036 days 6757.3
TCGA-ZF-AA56-01A 79 years, female, white, stage:Stage III, dead, 259 days 6756.2
TCGA-FD-A3SO-01A 68 years, male, white, stage:Stage IV, dead, 168 days 6695.8
TCGA-XF-AAMZ-01A 81 years, female, white, stage:Stage IV, dead, 1348 days 6633.0
TCGA-FD-A3B5-01A 86 years, male, black or african american, stage:Stage IV, dead, 272 days 6579.1
TCGA-FD-A3B7-01A 66 years, male, black or african american, stage:Stage III, dead, 122 days 6577.1
TCGA-XF-AAN7-01A 60 years, male, white, stage:Stage IV, dead, 565 days 6509.6
TCGA-G2-A3IB-01A 66 years, male, black or african american, stage:Stage II, dead, 220 days 6344.2
TCGA-C4-A0EZ-01A 69 years, female, stage:Stage IV, dead, 273 days 6286.1
TCGA-XF-AAN4-01A 77 years, female, white, stage:Stage III, dead, 823 days 6086.5
TCGA-GV-A40E-01A 75 years, male, white, stage:Stage II, dead, 261 days 6013.8
TCGA-FD-A5BX-01A 82 years, male, white, stage:Stage IV, dead, 173 days 5907.8
TCGA-XF-AAME-01A 64 years, female, white, stage:Stage II, dead, 2828 days 5873.5
TCGA-4Z-AA81-01A 80 years, male, white, stage:Stage II, dead, 1270 days 5851.0
TCGA-ZF-A9RD-01A 75 years, female, white, stage:Stage IV, dead, 408 days 5818.6
TCGA-XF-AAML-01A 75 years, male, white, stage:Stage II, dead, 232 days 5549.6
TCGA-DK-A2I2-01A 63 years, female, white, stage:Stage IV, dead, 237 days 5486.7
TCGA-G2-A2EO-01A 69 years, male, white, stage:Stage III, dead, 1804 days 5427.7
TCGA-ZF-A9RN-01A 67 years, female, white, stage:Stage III, dead, 615 days 5315.6
TCGA-XF-A9SW-01A 85 years, male, white, stage:Stage IV, dead, 362 days 5283.0
TCGA-XF-A9SJ-01A 83 years, male, white, stage:Stage IV, dead, 98 days 5281.2
TCGA-BT-A20P-01A 81 years, female, white, stage:Stage III, dead, 544 days 5259.2
TCGA-XF-A9T8-01A 64 years, male, white, stage:Stage III, dead, 418 days 5098.7
TCGA-GU-A762-01A 87 years, male, white, stage:Stage IV, dead, 232 days 5060.7
TCGA-XF-AAMH-01A 80 years, male, white, stage:Stage IV, dead, 344 days 5057.6
TCGA-FD-A5BZ-01A 77 years, female, white, stage:Stage IV, dead, 835 days 5018.0
TCGA-BT-A20T-01A 63 years, male, white, stage:Stage IV, dead, 453 days 4917.2
TCGA-DK-A3IM-01A 76 years, male, white, stage:Stage III, dead, 248 days 4697.8
TCGA-BT-A20U-01A 70 years, female, white, stage:Stage III, dead, 455 days 4675.7
TCGA-GU-AATO-01A 75 years, male, white, stage:Stage IV, dead, 324 days 4656.1
TCGA-4Z-AA80-01A 73 years, male, white, stage:Stage II, dead, 19 days 4503.6
TCGA-FJ-A871-01A 49 years, male, white, stage:Stage III, dead, 272 days 4447.0
TCGA-FD-A6TH-01A 63 years, male, white, stage:Stage IV, dead, 131 days 4151.9
TCGA-DK-A3X2-01A 85 years, male, white, stage:Stage IV, dead, 547 days 4063.2
TCGA-ZF-AA5N-01A 62 years, female, white, stage:Stage IV, dead, 168 days 3999.4
TCGA-BT-A20O-01A 75 years, male, white, stage:Stage III, dead, 370 days 3831.9
TCGA-4Z-AA86-01A 66 years, male, black or african american, stage:Stage IV, dead, 311 days 3658.5
TCGA-XF-A9T2-01A 54 years, male, white, stage:Stage III, dead, 575 days 3621.0
TCGA-FD-A3N5-01A 69 years, male, black or african american, stage:Stage II, dead, 685 days 3567.0
TCGA-FD-A3B4-01A 55 years, female, black or african american, stage:Stage III, dead, 510 days 3507.5
TCGA-FD-A62S-01A 60 years, female, black or african american, stage:Stage III, dead, 406 days 3330.2
TCGA-DK-A2HX-01A 80 years, female, white, stage:Stage IV, dead, 1420 days 2875.0
TCGA-S5-A6DX-01A 83 years, male, white, stage:Stage IV, dead, 56 days 2448.3
TCGA-G2-AA3C-01A 66 years, male, white, stage:Stage IV, dead, 211 days 2059.3
TCGA-XF-A9SX-01A 63 years, female, white, stage:Stage IV, dead, 719 days 2028.2
TCGA-FD-A3SR-01A 68 years, male, white, stage:Stage IV, dead, 602 days 1885.2
TCGA-DK-AA6L-01A 48 years, male, white, stage:Stage IV, dead, 1163 days 1841.7
TCGA-ZF-AA54-01A 71 years, male, white, stage:Stage III, dead, 590 days 1647.7
TCGA-FD-A5BT-01A 84 years, male, white, stage:Stage III, dead, 328 days 1116.9
TCGA-BL-A13I-01A 57 years, female, white, stage:Stage III, dead, 223 days 590.9
TCGA-BL-A13J-01A 65 years, male, white, stage:Stage IV, dead, 81 days 149.8
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UROTHELIAL CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

Pending cancer tissue analysis

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