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  • MT-ND2
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-ND2 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.

: 5294.99
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 8304.5
Number of samples 169
Samples
Sample Description pTPM
TCGA-ZF-A9R0-01A 82 years, male, white, stage:Stage III, dead, 680 days 44817.4
TCGA-XF-A8HG-01A 69 years, male, white, stage:Stage III, dead, 467 days 37901.7
TCGA-G2-A2EC-01A 58 years, female, black or african american, stage:Stage II, dead, 696 days 30747.5
TCGA-XF-A8HH-01A 61 years, female, white, stage:Stage IV, dead, 57 days 27472.3
TCGA-XF-A9SH-01A 65 years, female, asian, stage:Stage II, dead, 1971 days 26221.4
TCGA-E7-A4XJ-01A 66 years, male, asian, stage:Stage II, dead, 68 days 25883.3
TCGA-FD-A5BV-01A 47 years, female, white, stage:Stage III, dead, 163 days 24062.8
TCGA-ZF-A9R9-01A 58 years, male, white, stage:Stage IV, dead, 864 days 23520.4
TCGA-DK-A3IK-01A 87 years, male, white, stage:Stage IV, dead, 146 days 22781.0
TCGA-CU-A0YO-01A 84 years, male, white, stage:Stage IV, dead, 149 days 22583.6
TCGA-XF-A8HF-01A 80 years, male, white, stage:Stage III, dead, 2954 days 21441.0
TCGA-XF-A9SP-01A 59 years, male, white, stage:Stage III, dead, 454 days 20148.6
TCGA-GV-A3QH-01A 67 years, male, white, stage:Stage II, dead, 258 days 20023.0
TCGA-FD-A62O-01A 74 years, male, white, stage:Stage IV, dead, 216 days 19039.3
TCGA-GU-A42R-01A 68 years, male, white, stage:Stage IV, dead, 577 days 18535.3
TCGA-CF-A9FL-01A 85 years, male, asian, stage:Stage III, dead, 565 days 17808.7
TCGA-FD-A3SS-01A 66 years, male, white, stage:Stage IV, dead, 391 days 17015.5
TCGA-K4-A4AC-01A 83 years, male, white, stage:Stage II, dead, 278 days 16560.9
TCGA-BT-A3PK-01A 80 years, male, white, stage:Stage II, dead, 303 days 16293.8
TCGA-BL-A3JM-01A 62 years, male, white, stage:Stage III, dead, 205 days 16274.6
TCGA-4Z-AA7N-01A 65 years, male, white, stage:Stage III, dead, 1367 days 16092.9
TCGA-4Z-AA7R-01A 73 years, male, black or african american, stage:Stage IV, dead, 522 days 15897.0
TCGA-CU-A0YR-01A 83 years, male, white, stage:Stage IV, dead, 460 days 15319.9
TCGA-XF-AAMX-01A 87 years, female, black or african american, stage:Stage III, dead, 206 days 14833.8
TCGA-FJ-A3ZE-01A 65 years, male, white, stage:Stage IV, dead, 324 days 14686.4
TCGA-FJ-A3Z9-01A 72 years, male, white, stage:'--, dead, 385 days 14555.4
TCGA-DK-AA6W-01A 78 years, male, white, stage:Stage II, dead, 415 days 14328.2
TCGA-CU-A5W6-01A 70 years, male, white, stage:Stage III, dead, 56 days 13830.8
TCGA-FD-A6TI-01A 73 years, male, white, stage:Stage IV, dead, 294 days 13681.8
TCGA-GV-A3QF-01A 79 years, male, white, stage:Stage IV, dead, 617 days 13300.3
TCGA-DK-AA75-01A 82 years, male, white, stage:Stage III, dead, 340 days 13124.4
TCGA-ZF-A9R3-01A 53 years, female, white, stage:Stage II, dead, 949 days 13095.6
TCGA-2F-A9KO-01A 63 years, male, white, stage:Stage IV, dead, 734 days 13089.0
TCGA-BT-A2LB-01A 73 years, female, white, stage:Stage III, dead, 492 days 12738.4
TCGA-FD-A6TG-01A 73 years, male, white, stage:Stage IV, dead, 93 days 12473.5
TCGA-XF-AAN0-01A 68 years, male, white, stage:Stage IV, dead, 1718 days 11529.1
TCGA-XF-A8HC-01A 79 years, male, asian, stage:Stage IV, dead, 200 days 11465.1
TCGA-XF-AAN1-01A 75 years, female, stage:Stage III, dead, 941 days 11461.1
TCGA-XF-A8HI-01A 57 years, female, white, stage:Stage IV, dead, 544 days 11456.9
TCGA-G2-A2EL-01A 77 years, male, white, stage:Stage II, dead, 819 days 11426.3
TCGA-C4-A0F7-01A 77 years, male, stage:Stage IV, dead, 62 days 11386.9
TCGA-FD-A3SL-01A 60 years, male, white, stage:Stage IV, dead, 712 days 11192.6
TCGA-FD-A3SM-01A 70 years, male, white, stage:Stage IV, dead, 547 days 10636.5
TCGA-FD-A3SJ-01A 59 years, male, white, stage:Stage IV, dead, 739 days 10483.1
TCGA-BT-A20W-01A 71 years, male, white, stage:Stage II, dead, 254 days 10337.2
TCGA-DK-A2I2-01A 63 years, female, white, stage:Stage IV, dead, 237 days 9981.0
TCGA-2F-A9KW-01A 67 years, female, white, stage:Stage III, dead, 254 days 9849.1
TCGA-XF-A9SV-01A 82 years, male, white, stage:Stage IV, dead, 388 days 9730.0
TCGA-BT-A0YX-01A 70 years, female, white, stage:Stage III, dead, 400 days 9629.3
TCGA-XF-A9SK-01A 65 years, male, white, stage:Stage IV, dead, 486 days 9450.5
TCGA-4Z-AA82-01A 59 years, male, black or african american, stage:Stage IV, dead, 1556 days 9356.8
TCGA-CF-A47T-01A 58 years, female, asian, stage:Stage II, dead, 385 days 9279.6
TCGA-BT-A20J-01A 75 years, male, white, stage:Stage II, dead, 579 days 9004.5
TCGA-5N-A9KM-01A 73 years, female, white, stage:Stage III, dead, 530 days 8972.1
TCGA-DK-A3IL-01A 79 years, female, white, stage:Stage IV, dead, 413 days 8918.7
TCGA-GV-A3JV-01A 66 years, male, white, stage:Stage IV, dead, 434 days 8880.9
TCGA-BT-A20N-01A 72 years, male, stage:Stage III, dead, 795 days 8862.8
TCGA-XF-AAMJ-01A 70 years, male, asian, stage:Stage III, dead, 1670 days 8838.3
TCGA-ZF-AA4T-01A 65 years, male, white, stage:Stage IV, dead, 599 days 8514.2
TCGA-BT-A3PH-01A 76 years, male, white, stage:Stage IV, dead, 142 days 8317.9
TCGA-HQ-A5NE-01A 57 years, male, stage:Stage III, dead, 370 days 8300.8
TCGA-BT-A20Q-01A 73 years, male, white, stage:Stage IV, dead, 593 days 8209.1
TCGA-GU-A42P-01A 72 years, male, white, stage:Stage IV, dead, 332 days 7946.6
TCGA-BT-A2LD-01A 78 years, female, white, stage:Stage IV, dead, 623 days 7678.3
TCGA-G2-A3IE-01A 51 years, male, white, stage:Stage II, dead, 612 days 7653.5
TCGA-4Z-AA7Q-01A 79 years, male, white, stage:Stage III, dead, 510 days 7583.2
TCGA-GC-A3BM-01A 70 years, male, white, stage:Stage II, dead, 651 days 7248.0
TCGA-GU-AATQ-01A 68 years, male, white, stage:Stage III, dead, 213 days 7104.0
TCGA-XF-AAMW-01A 79 years, female, white, stage:Stage IV, dead, 253 days 7048.0
TCGA-DK-A3IQ-01A 74 years, male, white, stage:Stage III, dead, 539 days 6890.9
TCGA-FD-A3SQ-01A 62 years, male, white, stage:Stage IV, dead, 1423 days 6679.2
TCGA-DK-A1A3-01A 60 years, male, white, stage:Stage IV, dead, 665 days 6547.9
TCGA-CU-A0YN-01A 60 years, male, white, stage:Stage III, dead, 393 days 6525.5
TCGA-XF-A9SL-01A 69 years, male, white, stage:Stage IV, dead, 2020 days 6476.5
TCGA-E5-A4TZ-01A 64 years, male, white, stage:Stage IV, dead, 467 days 6403.4
TCGA-E7-A541-01A 66 years, male, white, stage:Stage II, dead, 778 days 6312.7
TCGA-BT-A20T-01A 63 years, male, white, stage:Stage IV, dead, 453 days 6304.7
TCGA-DK-AA6Q-01A 61 years, female, white, stage:Stage IV, dead, 413 days 6228.9
TCGA-UY-A78K-01A 60 years, male, white, stage:Stage IV, dead, 536 days 6213.0
TCGA-SY-A9G0-01A 82 years, male, white, stage:Stage IV, dead, 1008 days 5961.7
TCGA-ZF-AA4N-01A 74 years, male, white, stage:Stage II, dead, 88 days 5948.1
TCGA-UY-A78N-01A 80 years, male, white, stage:Stage IV, dead, 2641 days 5830.7
TCGA-2F-A9KP-01A 66 years, male, white, stage:Stage IV, dead, 364 days 5816.0
TCGA-DK-A3IU-01A 58 years, male, white, stage:Stage II, dead, 706 days 5790.4
TCGA-ZF-AA4U-01A 70 years, male, white, stage:Stage III, dead, 262 days 5783.0
TCGA-ZF-AA52-01A 70 years, male, white, stage:Stage III, dead, 1077 days 5708.6
TCGA-FD-A62P-01A 76 years, male, white, stage:Stage II, dead, 191 days 5553.3
TCGA-BT-A20X-01A 56 years, male, white, stage:Stage IV, dead, 251 days 5542.6
TCGA-XF-AAMT-01A 75 years, female, white, stage:Stage IV, dead, 90 days 5533.2
TCGA-XF-A9SU-01A 74 years, female, white, stage:Stage IV, dead, 182 days 5510.4
TCGA-G2-A2ES-01A 85 years, male, white, stage:Stage II, dead, 1004 days 5503.9
TCGA-FD-A6TF-01A 80 years, female, white, stage:Stage IV, dead, 69 days 5422.1
TCGA-BT-A20P-01A 81 years, female, white, stage:Stage III, dead, 544 days 5415.8
TCGA-XF-AAMZ-01A 81 years, female, white, stage:Stage IV, dead, 1348 days 5399.6
TCGA-UY-A78M-01A 81 years, female, asian, stage:Stage IV, dead, 690 days 5366.9
TCGA-ZF-A9RE-01A 78 years, female, white, stage:Stage II, dead, 106 days 5337.4
TCGA-2F-A9KR-01A 59 years, female, stage:Stage III, dead, 3183 days 5333.0
TCGA-BT-A0S7-01A 75 years, male, white, stage:Stage III, dead, 200 days 5256.9
TCGA-FD-A6TD-01A 77 years, male, white, stage:Stage III, dead, 386 days 5234.4
TCGA-XF-AAN8-01A 74 years, female, white, stage:Stage III, dead, 118 days 5220.1
TCGA-FD-A3B7-01A 66 years, male, black or african american, stage:Stage III, dead, 122 days 5207.6
TCGA-YC-A9TC-01A 71 years, male, white, stage:Stage IV, dead, 20 days 5179.1
TCGA-E7-A3X6-01A 70 years, male, white, stage:Stage II, dead, 904 days 5164.8
TCGA-5N-A9KI-01A 76 years, female, white, stage:Stage III, dead, 76 days 5073.5
TCGA-GV-A40E-01A 75 years, male, white, stage:Stage II, dead, 261 days 5062.1
TCGA-FD-A3B5-01A 86 years, male, black or african american, stage:Stage IV, dead, 272 days 4936.5
TCGA-4Z-AA81-01A 80 years, male, white, stage:Stage II, dead, 1270 days 4905.5
TCGA-XF-A9ST-01A 68 years, male, white, stage:Stage III, dead, 128 days 4884.2
TCGA-FD-A3SO-01A 68 years, male, white, stage:Stage IV, dead, 168 days 4812.6
TCGA-FD-A5C0-01A 61 years, male, white, stage:Stage IV, dead, 550 days 4784.2
TCGA-CU-A72E-01A 76 years, male, white, stage:Stage IV, dead, 413 days 4759.9
TCGA-BT-A20V-01A 59 years, female, black or african american, stage:Stage IV, dead, 154 days 4640.8
TCGA-DK-A1AB-01A 74 years, female, white, stage:Stage IV, dead, 508 days 4583.4
TCGA-XF-A9SW-01A 85 years, male, white, stage:Stage IV, dead, 362 days 4480.7
TCGA-FD-A43Y-01A 65 years, male, white, stage:Stage III, dead, 474 days 4475.7
TCGA-GU-A767-01A 81 years, male, white, stage:Stage IV, dead, 144 days 4425.3
TCGA-C4-A0EZ-01A 69 years, female, stage:Stage IV, dead, 273 days 4342.6
TCGA-DK-A3X2-01A 85 years, male, white, stage:Stage IV, dead, 547 days 4291.4
TCGA-GC-A3I6-01A 45 years, male, white, stage:Stage III, dead, 630 days 4257.2
TCGA-HQ-A5ND-01A 78 years, male, stage:Stage IV, dead, 274 days 4129.9
TCGA-K4-A5RI-01A 67 years, female, white, stage:Stage III, dead, 356 days 4054.3
TCGA-GU-A42Q-01A 67 years, male, white, stage:Stage III, dead, 344 days 4029.8
TCGA-ZF-A9RN-01A 67 years, female, white, stage:Stage III, dead, 615 days 4004.0
TCGA-FD-A5BZ-01A 77 years, female, white, stage:Stage IV, dead, 835 days 4003.3
TCGA-E7-A97P-01A 73 years, male, asian, stage:Stage II, dead, 437 days 3906.2
TCGA-XF-A9SZ-01A 79 years, male, white, stage:Stage IV, dead, 859 days 3842.1
TCGA-XF-AAME-01A 64 years, female, white, stage:Stage II, dead, 2828 days 3821.6
TCGA-FD-A3B3-01A 74 years, female, white, stage:Stage III, dead, 974 days 3747.4
TCGA-DK-A1A5-01A 79 years, male, white, stage:Stage II, dead, 65 days 3713.0
TCGA-XF-AAML-01A 75 years, male, white, stage:Stage II, dead, 232 days 3658.5
TCGA-FD-A3B6-01A 75 years, male, white, stage:Stage II, dead, 1005 days 3636.5
TCGA-DK-A3IN-01A 72 years, male, white, stage:Stage III, dead, 250 days 3601.9
TCGA-XF-AAN4-01A 77 years, female, white, stage:Stage III, dead, 823 days 3561.6
TCGA-XF-AAN2-01A 73 years, male, white, stage:Stage II, dead, 1869 days 3530.3
TCGA-XF-A9SJ-01A 83 years, male, white, stage:Stage IV, dead, 98 days 3510.2
TCGA-XF-AAN7-01A 60 years, male, white, stage:Stage IV, dead, 565 days 3498.5
TCGA-ZF-AA4R-01A 67 years, male, white, stage:Stage IV, dead, 1036 days 3430.7
TCGA-FD-A5BX-01A 82 years, male, white, stage:Stage IV, dead, 173 days 3360.8
TCGA-4Z-AA7S-01A 66 years, male, black or african american, stage:Stage III, dead, 1064 days 3204.9
TCGA-GU-A762-01A 87 years, male, white, stage:Stage IV, dead, 232 days 3169.6
TCGA-4Z-AA80-01A 73 years, male, white, stage:Stage II, dead, 19 days 3117.0
TCGA-FD-A3B4-01A 55 years, female, black or african american, stage:Stage III, dead, 510 days 3065.6
TCGA-4Z-AA86-01A 66 years, male, black or african american, stage:Stage IV, dead, 311 days 3056.9
TCGA-FD-A6TH-01A 63 years, male, white, stage:Stage IV, dead, 131 days 2995.8
TCGA-G2-A3IB-01A 66 years, male, black or african american, stage:Stage II, dead, 220 days 2846.8
TCGA-FD-A3N5-01A 69 years, male, black or african american, stage:Stage II, dead, 685 days 2691.1
TCGA-GU-AATO-01A 75 years, male, white, stage:Stage IV, dead, 324 days 2681.9
TCGA-ZF-AA56-01A 79 years, female, white, stage:Stage III, dead, 259 days 2666.5
TCGA-DK-A3IM-01A 76 years, male, white, stage:Stage III, dead, 248 days 2537.9
TCGA-XF-A9T8-01A 64 years, male, white, stage:Stage III, dead, 418 days 2509.4
TCGA-G2-A2EO-01A 69 years, male, white, stage:Stage III, dead, 1804 days 2337.1
TCGA-FD-A62S-01A 60 years, female, black or african american, stage:Stage III, dead, 406 days 2208.2
TCGA-BT-A20U-01A 70 years, female, white, stage:Stage III, dead, 455 days 2167.3
TCGA-XF-AAMH-01A 80 years, male, white, stage:Stage IV, dead, 344 days 2049.6
TCGA-ZF-AA5N-01A 62 years, female, white, stage:Stage IV, dead, 168 days 1947.9
TCGA-DK-A2HX-01A 80 years, female, white, stage:Stage IV, dead, 1420 days 1928.2
TCGA-XF-A9T2-01A 54 years, male, white, stage:Stage III, dead, 575 days 1795.9
TCGA-ZF-A9RD-01A 75 years, female, white, stage:Stage IV, dead, 408 days 1760.8
TCGA-FD-A3SR-01A 68 years, male, white, stage:Stage IV, dead, 602 days 1727.6
TCGA-S5-A6DX-01A 83 years, male, white, stage:Stage IV, dead, 56 days 1642.9
TCGA-BT-A20O-01A 75 years, male, white, stage:Stage III, dead, 370 days 1453.1
TCGA-FJ-A871-01A 49 years, male, white, stage:Stage III, dead, 272 days 1380.9
TCGA-DK-AA6L-01A 48 years, male, white, stage:Stage IV, dead, 1163 days 1360.1
TCGA-XF-A9SX-01A 63 years, female, white, stage:Stage IV, dead, 719 days 1352.7
TCGA-G2-AA3C-01A 66 years, male, white, stage:Stage IV, dead, 211 days 1211.9
TCGA-FD-A5BT-01A 84 years, male, white, stage:Stage III, dead, 328 days 1055.6
TCGA-ZF-AA54-01A 71 years, male, white, stage:Stage III, dead, 590 days 948.7
TCGA-BL-A13I-01A 57 years, female, white, stage:Stage III, dead, 223 days 260.4
TCGA-BL-A13J-01A 65 years, male, white, stage:Stage IV, dead, 81 days 69.0
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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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