Expression of MT-ATP8 in urothelial cancer

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

MT-ATP8 is not prognostic in Bladder Urothelial Carcinoma (TCGA)

Stage:

Survival analysis

Current cut offⁱ :

Best expression cut offⁱ : 6287.42

Median expressionⁱ : N/A

Median follow up timeⁱ : N/A

P scoreⁱ N/A

5-year survival highⁱ N/A

5-year survival lowⁱ N/A

TCGA RNA samplesⁱ

Average pTPM

11602.7

Number of samples

169

Samples

Sample	Description	pTPM
TCGA-XF-A8HG-01A	69 years, male, white, stage:Stage III, dead, 467 days	57591.2
TCGA-DK-A3IK-01A	87 years, male, white, stage:Stage IV, dead, 146 days	39161.0
TCGA-ZF-A9R0-01A	82 years, male, white, stage:Stage III, dead, 680 days	35364.0
TCGA-FJ-A3ZE-01A	65 years, male, white, stage:Stage IV, dead, 324 days	33142.7
TCGA-CF-A9FL-01A	85 years, male, asian, stage:Stage III, dead, 565 days	32921.8
TCGA-4Z-AA7R-01A	73 years, male, black or african american, stage:Stage IV, dead, 522 days	30359.9
TCGA-GV-A3QF-01A	79 years, male, white, stage:Stage IV, dead, 617 days	29817.6
TCGA-XF-A9SH-01A	65 years, female, asian, stage:Stage II, dead, 1971 days	29668.0
TCGA-CU-A0YO-01A	84 years, male, white, stage:Stage IV, dead, 149 days	28297.5
TCGA-BT-A3PK-01A	80 years, male, white, stage:Stage II, dead, 303 days	26898.8
TCGA-ZF-A9R9-01A	58 years, male, white, stage:Stage IV, dead, 864 days	26869.9
TCGA-XF-A8HH-01A	61 years, female, white, stage:Stage IV, dead, 57 days	25714.5
TCGA-FJ-A3Z9-01A	72 years, male, white, stage:'--, dead, 385 days	25172.7
TCGA-G2-A2EC-01A	58 years, female, black or african american, stage:Stage II, dead, 696 days	23997.2
TCGA-BT-A20W-01A	71 years, male, white, stage:Stage II, dead, 254 days	23908.6
TCGA-CU-A0YR-01A	83 years, male, white, stage:Stage IV, dead, 460 days	23583.1
TCGA-GU-A42P-01A	72 years, male, white, stage:Stage IV, dead, 332 days	23380.2
TCGA-GU-A42R-01A	68 years, male, white, stage:Stage IV, dead, 577 days	23062.6
TCGA-FD-A6TI-01A	73 years, male, white, stage:Stage IV, dead, 294 days	23028.6
TCGA-GV-A3QH-01A	67 years, male, white, stage:Stage II, dead, 258 days	21964.4
TCGA-G2-A2EL-01A	77 years, male, white, stage:Stage II, dead, 819 days	21839.3
TCGA-DK-A3IL-01A	79 years, female, white, stage:Stage IV, dead, 413 days	21380.7
TCGA-C4-A0F7-01A	77 years, male, stage:Stage IV, dead, 62 days	21210.5
TCGA-E7-A4XJ-01A	66 years, male, asian, stage:Stage II, dead, 68 days	20711.2
TCGA-BT-A20Q-01A	73 years, male, white, stage:Stage IV, dead, 593 days	20345.4
TCGA-ZF-A9R3-01A	53 years, female, white, stage:Stage II, dead, 949 days	19668.2
TCGA-CF-A47T-01A	58 years, female, asian, stage:Stage II, dead, 385 days	19660.2
TCGA-BT-A0YX-01A	70 years, female, white, stage:Stage III, dead, 400 days	19582.0
TCGA-FD-A3SS-01A	66 years, male, white, stage:Stage IV, dead, 391 days	19470.0
TCGA-GV-A3JV-01A	66 years, male, white, stage:Stage IV, dead, 434 days	19014.4
TCGA-XF-A9SV-01A	82 years, male, white, stage:Stage IV, dead, 388 days	18645.0
TCGA-4Z-AA7N-01A	65 years, male, white, stage:Stage III, dead, 1367 days	18431.0
TCGA-XF-AAN0-01A	68 years, male, white, stage:Stage IV, dead, 1718 days	18214.4
TCGA-XF-A8HI-01A	57 years, female, white, stage:Stage IV, dead, 544 days	17999.5
TCGA-XF-AAMX-01A	87 years, female, black or african american, stage:Stage III, dead, 206 days	17583.1
TCGA-CU-A72E-01A	76 years, male, white, stage:Stage IV, dead, 413 days	16993.4
TCGA-DK-A1A3-01A	60 years, male, white, stage:Stage IV, dead, 665 days	16836.5
TCGA-BT-A20N-01A	72 years, male, stage:Stage III, dead, 795 days	16624.7
TCGA-2F-A9KO-01A	63 years, male, white, stage:Stage IV, dead, 734 days	16318.8
TCGA-XF-AAMJ-01A	70 years, male, asian, stage:Stage III, dead, 1670 days	16289.3
TCGA-FD-A6TG-01A	73 years, male, white, stage:Stage IV, dead, 93 days	16247.4
TCGA-GU-A42Q-01A	67 years, male, white, stage:Stage III, dead, 344 days	16062.8
TCGA-FD-A62S-01A	60 years, female, black or african american, stage:Stage III, dead, 406 days	16054.5
TCGA-XF-AAN1-01A	75 years, female, stage:Stage III, dead, 941 days	15985.3
TCGA-BT-A20J-01A	75 years, male, white, stage:Stage II, dead, 579 days	15447.1
TCGA-XF-A8HC-01A	79 years, male, asian, stage:Stage IV, dead, 200 days	15410.4
TCGA-UY-A78N-01A	80 years, male, white, stage:Stage IV, dead, 2641 days	15317.6
TCGA-BT-A3PH-01A	76 years, male, white, stage:Stage IV, dead, 142 days	14919.5
TCGA-2F-A9KW-01A	67 years, female, white, stage:Stage III, dead, 254 days	14819.2
TCGA-BT-A2LB-01A	73 years, female, white, stage:Stage III, dead, 492 days	14568.6
TCGA-XF-A8HF-01A	80 years, male, white, stage:Stage III, dead, 2954 days	14437.3
TCGA-DK-A1A5-01A	79 years, male, white, stage:Stage II, dead, 65 days	14353.3
TCGA-4Z-AA7S-01A	66 years, male, black or african american, stage:Stage III, dead, 1064 days	14221.6
TCGA-DK-A1AB-01A	74 years, female, white, stage:Stage IV, dead, 508 days	14192.7
TCGA-XF-AAMT-01A	75 years, female, white, stage:Stage IV, dead, 90 days	14075.7
TCGA-4Z-AA82-01A	59 years, male, black or african american, stage:Stage IV, dead, 1556 days	13951.4
TCGA-BT-A20X-01A	56 years, male, white, stage:Stage IV, dead, 251 days	13848.5
TCGA-DK-A3IQ-01A	74 years, male, white, stage:Stage III, dead, 539 days	13673.3
TCGA-FD-A3SJ-01A	59 years, male, white, stage:Stage IV, dead, 739 days	13576.7
TCGA-ZF-A9RE-01A	78 years, female, white, stage:Stage II, dead, 106 days	13301.1
TCGA-CU-A0YN-01A	60 years, male, white, stage:Stage III, dead, 393 days	13210.7
TCGA-BL-A3JM-01A	62 years, male, white, stage:Stage III, dead, 205 days	13187.9
TCGA-FD-A62O-01A	74 years, male, white, stage:Stage IV, dead, 216 days	13169.1
TCGA-FD-A3SL-01A	60 years, male, white, stage:Stage IV, dead, 712 days	13006.0
TCGA-2F-A9KR-01A	59 years, female, stage:Stage III, dead, 3183 days	12984.5
TCGA-2F-A9KP-01A	66 years, male, white, stage:Stage IV, dead, 364 days	12610.8
TCGA-FD-A3SM-01A	70 years, male, white, stage:Stage IV, dead, 547 days	12220.9
TCGA-5N-A9KM-01A	73 years, female, white, stage:Stage III, dead, 530 days	12116.4
TCGA-E5-A4TZ-01A	64 years, male, white, stage:Stage IV, dead, 467 days	11871.1
TCGA-DK-AA6W-01A	78 years, male, white, stage:Stage II, dead, 415 days	11258.7
TCGA-ZF-AA4U-01A	70 years, male, white, stage:Stage III, dead, 262 days	11203.0
TCGA-ZF-AA4T-01A	65 years, male, white, stage:Stage IV, dead, 599 days	11142.3
TCGA-SY-A9G0-01A	82 years, male, white, stage:Stage IV, dead, 1008 days	11042.2
TCGA-G2-A2ES-01A	85 years, male, white, stage:Stage II, dead, 1004 days	10907.9
TCGA-DK-AA75-01A	82 years, male, white, stage:Stage III, dead, 340 days	10894.7
TCGA-4Z-AA7Q-01A	79 years, male, white, stage:Stage III, dead, 510 days	10823.4
TCGA-CU-A5W6-01A	70 years, male, white, stage:Stage III, dead, 56 days	10355.4
TCGA-UY-A78K-01A	60 years, male, white, stage:Stage IV, dead, 536 days	9902.3
TCGA-E7-A3X6-01A	70 years, male, white, stage:Stage II, dead, 904 days	9751.6
TCGA-FD-A5BV-01A	47 years, female, white, stage:Stage III, dead, 163 days	9696.2
TCGA-GC-A3BM-01A	70 years, male, white, stage:Stage II, dead, 651 days	9577.6
TCGA-BT-A2LD-01A	78 years, female, white, stage:Stage IV, dead, 623 days	9535.7
TCGA-GU-AATQ-01A	68 years, male, white, stage:Stage III, dead, 213 days	9501.1
TCGA-G2-A3IE-01A	51 years, male, white, stage:Stage II, dead, 612 days	9317.5
TCGA-FD-A3SO-01A	68 years, male, white, stage:Stage IV, dead, 168 days	9299.1
TCGA-XF-A9SP-01A	59 years, male, white, stage:Stage III, dead, 454 days	8860.8
TCGA-DK-A3IN-01A	72 years, male, white, stage:Stage III, dead, 250 days	8582.9
TCGA-GC-A3I6-01A	45 years, male, white, stage:Stage III, dead, 630 days	8582.5
TCGA-XF-AAMZ-01A	81 years, female, white, stage:Stage IV, dead, 1348 days	8540.3
TCGA-FD-A3SQ-01A	62 years, male, white, stage:Stage IV, dead, 1423 days	8402.9
TCGA-E7-A541-01A	66 years, male, white, stage:Stage II, dead, 778 days	8327.6
TCGA-FD-A3B3-01A	74 years, female, white, stage:Stage III, dead, 974 days	8274.5
TCGA-XF-AAMW-01A	79 years, female, white, stage:Stage IV, dead, 253 days	8256.6
TCGA-FD-A3B7-01A	66 years, male, black or african american, stage:Stage III, dead, 122 days	8206.8
TCGA-FD-A6TF-01A	80 years, female, white, stage:Stage IV, dead, 69 days	7826.3
TCGA-FD-A62P-01A	76 years, male, white, stage:Stage II, dead, 191 days	7826.2
TCGA-XF-A9ST-01A	68 years, male, white, stage:Stage III, dead, 128 days	7727.5
TCGA-E7-A97P-01A	73 years, male, asian, stage:Stage II, dead, 437 days	7665.9
TCGA-XF-A9SK-01A	65 years, male, white, stage:Stage IV, dead, 486 days	7583.7
TCGA-ZF-AA4R-01A	67 years, male, white, stage:Stage IV, dead, 1036 days	7518.1
TCGA-DK-AA6Q-01A	61 years, female, white, stage:Stage IV, dead, 413 days	7329.7
TCGA-FD-A3B6-01A	75 years, male, white, stage:Stage II, dead, 1005 days	7324.9
TCGA-DK-A3IU-01A	58 years, male, white, stage:Stage II, dead, 706 days	7284.7
TCGA-BT-A0S7-01A	75 years, male, white, stage:Stage III, dead, 200 days	7223.4
TCGA-ZF-AA4N-01A	74 years, male, white, stage:Stage II, dead, 88 days	7165.8
TCGA-FD-A5C0-01A	61 years, male, white, stage:Stage IV, dead, 550 days	7015.5
TCGA-XF-AAN4-01A	77 years, female, white, stage:Stage III, dead, 823 days	6979.0
TCGA-FD-A6TD-01A	77 years, male, white, stage:Stage III, dead, 386 days	6893.0
TCGA-XF-AAME-01A	64 years, female, white, stage:Stage II, dead, 2828 days	6860.7
TCGA-GU-A767-01A	81 years, male, white, stage:Stage IV, dead, 144 days	6857.3
TCGA-XF-A9SL-01A	69 years, male, white, stage:Stage IV, dead, 2020 days	6782.8
TCGA-YC-A9TC-01A	71 years, male, white, stage:Stage IV, dead, 20 days	6752.3
TCGA-XF-AAN2-01A	73 years, male, white, stage:Stage II, dead, 1869 days	6524.0
TCGA-BT-A20T-01A	63 years, male, white, stage:Stage IV, dead, 453 days	6444.4
TCGA-FD-A5BZ-01A	77 years, female, white, stage:Stage IV, dead, 835 days	6287.4
TCGA-K4-A4AC-01A	83 years, male, white, stage:Stage II, dead, 278 days	5994.7
TCGA-BT-A20P-01A	81 years, female, white, stage:Stage III, dead, 544 days	5963.3
TCGA-HQ-A5ND-01A	78 years, male, stage:Stage IV, dead, 274 days	5843.7
TCGA-UY-A78M-01A	81 years, female, asian, stage:Stage IV, dead, 690 days	5797.3
TCGA-XF-A9SW-01A	85 years, male, white, stage:Stage IV, dead, 362 days	5773.0
TCGA-XF-A9T8-01A	64 years, male, white, stage:Stage III, dead, 418 days	5516.7
TCGA-ZF-AA56-01A	79 years, female, white, stage:Stage III, dead, 259 days	5510.5
TCGA-G2-A3IB-01A	66 years, male, black or african american, stage:Stage II, dead, 220 days	5486.8
TCGA-DK-A3X2-01A	85 years, male, white, stage:Stage IV, dead, 547 days	5417.0
TCGA-5N-A9KI-01A	76 years, female, white, stage:Stage III, dead, 76 days	5411.8
TCGA-HQ-A5NE-01A	57 years, male, stage:Stage III, dead, 370 days	5322.0
TCGA-BT-A20V-01A	59 years, female, black or african american, stage:Stage IV, dead, 154 days	5265.9
TCGA-XF-AAN8-01A	74 years, female, white, stage:Stage III, dead, 118 days	5196.3
TCGA-4Z-AA81-01A	80 years, male, white, stage:Stage II, dead, 1270 days	5129.9
TCGA-GV-A40E-01A	75 years, male, white, stage:Stage II, dead, 261 days	5072.5
TCGA-4Z-AA80-01A	73 years, male, white, stage:Stage II, dead, 19 days	5035.9
TCGA-DK-A3IM-01A	76 years, male, white, stage:Stage III, dead, 248 days	5028.5
TCGA-XF-AAN7-01A	60 years, male, white, stage:Stage IV, dead, 565 days	4930.4
TCGA-ZF-AA52-01A	70 years, male, white, stage:Stage III, dead, 1077 days	4611.3
TCGA-4Z-AA86-01A	66 years, male, black or african american, stage:Stage IV, dead, 311 days	4596.7
TCGA-BT-A20U-01A	70 years, female, white, stage:Stage III, dead, 455 days	4589.4
TCGA-XF-A9T2-01A	54 years, male, white, stage:Stage III, dead, 575 days	4433.9
TCGA-XF-AAML-01A	75 years, male, white, stage:Stage II, dead, 232 days	4425.3
TCGA-C4-A0EZ-01A	69 years, female, stage:Stage IV, dead, 273 days	4272.5
TCGA-FD-A3N5-01A	69 years, male, black or african american, stage:Stage II, dead, 685 days	4158.0
TCGA-FD-A6TH-01A	63 years, male, white, stage:Stage IV, dead, 131 days	4116.5
TCGA-FD-A3B5-01A	86 years, male, black or african american, stage:Stage IV, dead, 272 days	4070.6
TCGA-BT-A20O-01A	75 years, male, white, stage:Stage III, dead, 370 days	4057.3
TCGA-ZF-A9RN-01A	67 years, female, white, stage:Stage III, dead, 615 days	4028.1
TCGA-XF-A9SZ-01A	79 years, male, white, stage:Stage IV, dead, 859 days	3992.7
TCGA-K4-A5RI-01A	67 years, female, white, stage:Stage III, dead, 356 days	3814.4
TCGA-FD-A43Y-01A	65 years, male, white, stage:Stage III, dead, 474 days	3790.3
TCGA-XF-A9SJ-01A	83 years, male, white, stage:Stage IV, dead, 98 days	3706.1
TCGA-GU-A762-01A	87 years, male, white, stage:Stage IV, dead, 232 days	3389.9
TCGA-G2-A2EO-01A	69 years, male, white, stage:Stage III, dead, 1804 days	3367.0
TCGA-XF-A9SU-01A	74 years, female, white, stage:Stage IV, dead, 182 days	3246.1
TCGA-FD-A3B4-01A	55 years, female, black or african american, stage:Stage III, dead, 510 days	3240.1
TCGA-DK-A2I2-01A	63 years, female, white, stage:Stage IV, dead, 237 days	3117.0
TCGA-DK-A2HX-01A	80 years, female, white, stage:Stage IV, dead, 1420 days	3039.3
TCGA-ZF-A9RD-01A	75 years, female, white, stage:Stage IV, dead, 408 days	2968.9
TCGA-FD-A3SR-01A	68 years, male, white, stage:Stage IV, dead, 602 days	2696.0
TCGA-ZF-AA5N-01A	62 years, female, white, stage:Stage IV, dead, 168 days	2147.6
TCGA-FJ-A871-01A	49 years, male, white, stage:Stage III, dead, 272 days	1946.9
TCGA-FD-A5BX-01A	82 years, male, white, stage:Stage IV, dead, 173 days	1878.5
TCGA-ZF-AA54-01A	71 years, male, white, stage:Stage III, dead, 590 days	1832.3
TCGA-GU-AATO-01A	75 years, male, white, stage:Stage IV, dead, 324 days	1775.2
TCGA-G2-AA3C-01A	66 years, male, white, stage:Stage IV, dead, 211 days	1609.5
TCGA-DK-AA6L-01A	48 years, male, white, stage:Stage IV, dead, 1163 days	1504.1
TCGA-XF-AAMH-01A	80 years, male, white, stage:Stage IV, dead, 344 days	1008.9
TCGA-S5-A6DX-01A	83 years, male, white, stage:Stage IV, dead, 56 days	873.2
TCGA-XF-A9SX-01A	63 years, female, white, stage:Stage IV, dead, 719 days	609.4
TCGA-BL-A13I-01A	57 years, female, white, stage:Stage III, dead, 223 days	510.5
TCGA-BL-A13J-01A	65 years, male, white, stage:Stage IV, dead, 81 days	54.3
TCGA-FD-A5BT-01A	84 years, male, white, stage:Stage III, dead, 328 days	28.2
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UROTHELIAL CANCER - Protein expressionⁱ

Pending cancer tissue analysis