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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 PROTEIN EXPRESSION
ANTIBODIES
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VALIDATION
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.

S100P 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.

: 334.77
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 2315.6
Number of samples 169
Samples
Sample Description pTPM
TCGA-FD-A6TI-01A 73 years, male, white, stage:Stage IV, dead, 294 days 18529.2
TCGA-BT-A3PH-01A 76 years, male, white, stage:Stage IV, dead, 142 days 14442.7
TCGA-CU-A5W6-01A 70 years, male, white, stage:Stage III, dead, 56 days 11177.4
TCGA-G2-A2EO-01A 69 years, male, white, stage:Stage III, dead, 1804 days 10630.0
TCGA-XF-AAN2-01A 73 years, male, white, stage:Stage II, dead, 1869 days 9740.9
TCGA-FJ-A3Z9-01A 72 years, male, white, stage:'--, dead, 385 days 9072.0
TCGA-XF-A9SV-01A 82 years, male, white, stage:Stage IV, dead, 388 days 8536.4
TCGA-GU-A42R-01A 68 years, male, white, stage:Stage IV, dead, 577 days 7913.2
TCGA-XF-A8HH-01A 61 years, female, white, stage:Stage IV, dead, 57 days 7447.3
TCGA-XF-A9SZ-01A 79 years, male, white, stage:Stage IV, dead, 859 days 6885.6
TCGA-4Z-AA7S-01A 66 years, male, black or african american, stage:Stage III, dead, 1064 days 6484.5
TCGA-ZF-A9R3-01A 53 years, female, white, stage:Stage II, dead, 949 days 6275.2
TCGA-GU-AATO-01A 75 years, male, white, stage:Stage IV, dead, 324 days 6001.9
TCGA-ZF-AA5N-01A 62 years, female, white, stage:Stage IV, dead, 168 days 5642.0
TCGA-UY-A78M-01A 81 years, female, asian, stage:Stage IV, dead, 690 days 5526.3
TCGA-CF-A9FL-01A 85 years, male, asian, stage:Stage III, dead, 565 days 5481.7
TCGA-ZF-AA4U-01A 70 years, male, white, stage:Stage III, dead, 262 days 5443.4
TCGA-FJ-A3ZE-01A 65 years, male, white, stage:Stage IV, dead, 324 days 5332.4
TCGA-XF-A8HI-01A 57 years, female, white, stage:Stage IV, dead, 544 days 5180.9
TCGA-2F-A9KO-01A 63 years, male, white, stage:Stage IV, dead, 734 days 5118.3
TCGA-2F-A9KR-01A 59 years, female, stage:Stage III, dead, 3183 days 5056.8
TCGA-CU-A0YR-01A 83 years, male, white, stage:Stage IV, dead, 460 days 4972.0
TCGA-BT-A20T-01A 63 years, male, white, stage:Stage IV, dead, 453 days 4875.6
TCGA-XF-AAMZ-01A 81 years, female, white, stage:Stage IV, dead, 1348 days 4832.9
TCGA-5N-A9KI-01A 76 years, female, white, stage:Stage III, dead, 76 days 4570.4
TCGA-G2-A3IE-01A 51 years, male, white, stage:Stage II, dead, 612 days 4277.6
TCGA-CU-A0YO-01A 84 years, male, white, stage:Stage IV, dead, 149 days 4213.7
TCGA-HQ-A5ND-01A 78 years, male, stage:Stage IV, dead, 274 days 4082.1
TCGA-FD-A3SL-01A 60 years, male, white, stage:Stage IV, dead, 712 days 4031.7
TCGA-FD-A5C0-01A 61 years, male, white, stage:Stage IV, dead, 550 days 4017.4
TCGA-E7-A97P-01A 73 years, male, asian, stage:Stage II, dead, 437 days 3873.8
TCGA-5N-A9KM-01A 73 years, female, white, stage:Stage III, dead, 530 days 3676.9
TCGA-UY-A78N-01A 80 years, male, white, stage:Stage IV, dead, 2641 days 3593.3
TCGA-FD-A3SM-01A 70 years, male, white, stage:Stage IV, dead, 547 days 3593.0
TCGA-HQ-A5NE-01A 57 years, male, stage:Stage III, dead, 370 days 3592.7
TCGA-BT-A20P-01A 81 years, female, white, stage:Stage III, dead, 544 days 3466.9
TCGA-2F-A9KP-01A 66 years, male, white, stage:Stage IV, dead, 364 days 3427.7
TCGA-DK-A1A5-01A 79 years, male, white, stage:Stage II, dead, 65 days 3360.8
TCGA-CF-A47T-01A 58 years, female, asian, stage:Stage II, dead, 385 days 3342.2
TCGA-ZF-AA56-01A 79 years, female, white, stage:Stage III, dead, 259 days 3338.1
TCGA-XF-A8HG-01A 69 years, male, white, stage:Stage III, dead, 467 days 3317.6
TCGA-G2-A2ES-01A 85 years, male, white, stage:Stage II, dead, 1004 days 3287.3
TCGA-DK-A3IL-01A 79 years, female, white, stage:Stage IV, dead, 413 days 3224.7
TCGA-GV-A3QH-01A 67 years, male, white, stage:Stage II, dead, 258 days 3204.8
TCGA-ZF-A9R0-01A 82 years, male, white, stage:Stage III, dead, 680 days 3200.6
TCGA-FD-A6TH-01A 63 years, male, white, stage:Stage IV, dead, 131 days 3121.0
TCGA-XF-A8HF-01A 80 years, male, white, stage:Stage III, dead, 2954 days 3072.0
TCGA-GC-A3BM-01A 70 years, male, white, stage:Stage II, dead, 651 days 3067.0
TCGA-E7-A4XJ-01A 66 years, male, asian, stage:Stage II, dead, 68 days 3062.5
TCGA-XF-A9SU-01A 74 years, female, white, stage:Stage IV, dead, 182 days 3060.8
TCGA-GU-A767-01A 81 years, male, white, stage:Stage IV, dead, 144 days 3011.8
TCGA-XF-AAML-01A 75 years, male, white, stage:Stage II, dead, 232 days 2993.7
TCGA-FD-A5BV-01A 47 years, female, white, stage:Stage III, dead, 163 days 2953.7
TCGA-BT-A20U-01A 70 years, female, white, stage:Stage III, dead, 455 days 2913.6
TCGA-FD-A6TD-01A 77 years, male, white, stage:Stage III, dead, 386 days 2781.7
TCGA-4Z-AA7N-01A 65 years, male, white, stage:Stage III, dead, 1367 days 2759.1
TCGA-GV-A3QF-01A 79 years, male, white, stage:Stage IV, dead, 617 days 2749.8
TCGA-UY-A78K-01A 60 years, male, white, stage:Stage IV, dead, 536 days 2697.8
TCGA-DK-A3IK-01A 87 years, male, white, stage:Stage IV, dead, 146 days 2679.8
TCGA-4Z-AA81-01A 80 years, male, white, stage:Stage II, dead, 1270 days 2606.3
TCGA-XF-AAN1-01A 75 years, female, stage:Stage III, dead, 941 days 2590.9
TCGA-FD-A5BZ-01A 77 years, female, white, stage:Stage IV, dead, 835 days 2552.1
TCGA-XF-A9SH-01A 65 years, female, asian, stage:Stage II, dead, 1971 days 2385.5
TCGA-E7-A541-01A 66 years, male, white, stage:Stage II, dead, 778 days 2328.8
TCGA-BT-A2LB-01A 73 years, female, white, stage:Stage III, dead, 492 days 2278.2
TCGA-FD-A62O-01A 74 years, male, white, stage:Stage IV, dead, 216 days 2273.5
TCGA-XF-A9SL-01A 69 years, male, white, stage:Stage IV, dead, 2020 days 2269.4
TCGA-DK-A1A3-01A 60 years, male, white, stage:Stage IV, dead, 665 days 2235.2
TCGA-GV-A3JV-01A 66 years, male, white, stage:Stage IV, dead, 434 days 2170.9
TCGA-E7-A3X6-01A 70 years, male, white, stage:Stage II, dead, 904 days 2138.2
TCGA-DK-A2HX-01A 80 years, female, white, stage:Stage IV, dead, 1420 days 2117.1
TCGA-FD-A3SO-01A 68 years, male, white, stage:Stage IV, dead, 168 days 2098.0
TCGA-XF-A8HC-01A 79 years, male, asian, stage:Stage IV, dead, 200 days 2057.1
TCGA-XF-A9SJ-01A 83 years, male, white, stage:Stage IV, dead, 98 days 1979.4
TCGA-BT-A2LD-01A 78 years, female, white, stage:Stage IV, dead, 623 days 1957.9
TCGA-XF-A9SP-01A 59 years, male, white, stage:Stage III, dead, 454 days 1909.0
TCGA-BT-A20Q-01A 73 years, male, white, stage:Stage IV, dead, 593 days 1885.6
TCGA-CU-A72E-01A 76 years, male, white, stage:Stage IV, dead, 413 days 1861.4
TCGA-BT-A20N-01A 72 years, male, stage:Stage III, dead, 795 days 1803.9
TCGA-FD-A3SR-01A 68 years, male, white, stage:Stage IV, dead, 602 days 1791.2
TCGA-4Z-AA80-01A 73 years, male, white, stage:Stage II, dead, 19 days 1751.9
TCGA-FD-A6TG-01A 73 years, male, white, stage:Stage IV, dead, 93 days 1728.7
TCGA-XF-AAMX-01A 87 years, female, black or african american, stage:Stage III, dead, 206 days 1638.2
TCGA-BT-A20W-01A 71 years, male, white, stage:Stage II, dead, 254 days 1613.7
TCGA-K4-A5RI-01A 67 years, female, white, stage:Stage III, dead, 356 days 1596.7
TCGA-ZF-A9RE-01A 78 years, female, white, stage:Stage II, dead, 106 days 1571.8
TCGA-GC-A3I6-01A 45 years, male, white, stage:Stage III, dead, 630 days 1545.7
TCGA-G2-A2EC-01A 58 years, female, black or african american, stage:Stage II, dead, 696 days 1444.2
TCGA-FD-A3SJ-01A 59 years, male, white, stage:Stage IV, dead, 739 days 1402.4
TCGA-XF-A9SW-01A 85 years, male, white, stage:Stage IV, dead, 362 days 1391.1
TCGA-GV-A40E-01A 75 years, male, white, stage:Stage II, dead, 261 days 1369.8
TCGA-FD-A3SQ-01A 62 years, male, white, stage:Stage IV, dead, 1423 days 1357.2
TCGA-ZF-AA52-01A 70 years, male, white, stage:Stage III, dead, 1077 days 1290.7
TCGA-XF-AAMH-01A 80 years, male, white, stage:Stage IV, dead, 344 days 1287.6
TCGA-SY-A9G0-01A 82 years, male, white, stage:Stage IV, dead, 1008 days 1280.0
TCGA-DK-AA6L-01A 48 years, male, white, stage:Stage IV, dead, 1163 days 1276.7
TCGA-FD-A62P-01A 76 years, male, white, stage:Stage II, dead, 191 days 1126.3
TCGA-BL-A13J-01A 65 years, male, white, stage:Stage IV, dead, 81 days 1122.4
TCGA-DK-A3IN-01A 72 years, male, white, stage:Stage III, dead, 250 days 1109.5
TCGA-GU-AATQ-01A 68 years, male, white, stage:Stage III, dead, 213 days 1104.9
TCGA-FD-A6TF-01A 80 years, female, white, stage:Stage IV, dead, 69 days 1080.2
TCGA-XF-AAN0-01A 68 years, male, white, stage:Stage IV, dead, 1718 days 1043.9
TCGA-DK-AA75-01A 82 years, male, white, stage:Stage III, dead, 340 days 1034.7
TCGA-GU-A42P-01A 72 years, male, white, stage:Stage IV, dead, 332 days 996.7
TCGA-2F-A9KW-01A 67 years, female, white, stage:Stage III, dead, 254 days 935.1
TCGA-S5-A6DX-01A 83 years, male, white, stage:Stage IV, dead, 56 days 918.4
TCGA-CU-A0YN-01A 60 years, male, white, stage:Stage III, dead, 393 days 738.1
TCGA-DK-A3IU-01A 58 years, male, white, stage:Stage II, dead, 706 days 724.6
TCGA-XF-A9SK-01A 65 years, male, white, stage:Stage IV, dead, 486 days 656.1
TCGA-G2-A3IB-01A 66 years, male, black or african american, stage:Stage II, dead, 220 days 612.1
TCGA-XF-A9T8-01A 64 years, male, white, stage:Stage III, dead, 418 days 577.8
TCGA-XF-AAMJ-01A 70 years, male, asian, stage:Stage III, dead, 1670 days 558.7
TCGA-FD-A3SS-01A 66 years, male, white, stage:Stage IV, dead, 391 days 554.7
TCGA-XF-AAMW-01A 79 years, female, white, stage:Stage IV, dead, 253 days 477.0
TCGA-ZF-AA4R-01A 67 years, male, white, stage:Stage IV, dead, 1036 days 465.6
TCGA-XF-A9T2-01A 54 years, male, white, stage:Stage III, dead, 575 days 434.1
TCGA-XF-AAMT-01A 75 years, female, white, stage:Stage IV, dead, 90 days 404.9
TCGA-FD-A43Y-01A 65 years, male, white, stage:Stage III, dead, 474 days 401.6
TCGA-4Z-AA7R-01A 73 years, male, black or african american, stage:Stage IV, dead, 522 days 400.2
TCGA-BT-A0YX-01A 70 years, female, white, stage:Stage III, dead, 400 days 384.6
TCGA-FD-A3B5-01A 86 years, male, black or african american, stage:Stage IV, dead, 272 days 375.9
TCGA-XF-AAME-01A 64 years, female, white, stage:Stage II, dead, 2828 days 375.3
TCGA-ZF-A9RD-01A 75 years, female, white, stage:Stage IV, dead, 408 days 359.4
TCGA-ZF-A9R9-01A 58 years, male, white, stage:Stage IV, dead, 864 days 356.4
TCGA-E5-A4TZ-01A 64 years, male, white, stage:Stage IV, dead, 467 days 344.7
TCGA-XF-A9SX-01A 63 years, female, white, stage:Stage IV, dead, 719 days 344.5
TCGA-4Z-AA7Q-01A 79 years, male, white, stage:Stage III, dead, 510 days 341.1
TCGA-BT-A0S7-01A 75 years, male, white, stage:Stage III, dead, 200 days 328.4
TCGA-BT-A20V-01A 59 years, female, black or african american, stage:Stage IV, dead, 154 days 292.6
TCGA-FD-A3B3-01A 74 years, female, white, stage:Stage III, dead, 974 days 213.3
TCGA-FD-A5BX-01A 82 years, male, white, stage:Stage IV, dead, 173 days 209.1
TCGA-DK-A1AB-01A 74 years, female, white, stage:Stage IV, dead, 508 days 192.7
TCGA-DK-A3IQ-01A 74 years, male, white, stage:Stage III, dead, 539 days 173.0
TCGA-C4-A0F7-01A 77 years, male, stage:Stage IV, dead, 62 days 172.6
TCGA-ZF-AA4T-01A 65 years, male, white, stage:Stage IV, dead, 599 days 170.3
TCGA-BT-A20J-01A 75 years, male, white, stage:Stage II, dead, 579 days 168.8
TCGA-XF-A9ST-01A 68 years, male, white, stage:Stage III, dead, 128 days 165.2
TCGA-BT-A20X-01A 56 years, male, white, stage:Stage IV, dead, 251 days 162.8
TCGA-FD-A5BT-01A 84 years, male, white, stage:Stage III, dead, 328 days 162.2
TCGA-DK-A3X2-01A 85 years, male, white, stage:Stage IV, dead, 547 days 159.2
TCGA-DK-AA6W-01A 78 years, male, white, stage:Stage II, dead, 415 days 158.9
TCGA-BT-A3PK-01A 80 years, male, white, stage:Stage II, dead, 303 days 116.1
TCGA-DK-A3IM-01A 76 years, male, white, stage:Stage III, dead, 248 days 112.6
TCGA-FD-A62S-01A 60 years, female, black or african american, stage:Stage III, dead, 406 days 110.8
TCGA-FJ-A871-01A 49 years, male, white, stage:Stage III, dead, 272 days 110.7
TCGA-FD-A3N5-01A 69 years, male, black or african american, stage:Stage II, dead, 685 days 100.0
TCGA-DK-A2I2-01A 63 years, female, white, stage:Stage IV, dead, 237 days 92.8
TCGA-C4-A0EZ-01A 69 years, female, stage:Stage IV, dead, 273 days 68.2
TCGA-K4-A4AC-01A 83 years, male, white, stage:Stage II, dead, 278 days 65.4
TCGA-4Z-AA86-01A 66 years, male, black or african american, stage:Stage IV, dead, 311 days 65.1
TCGA-FD-A3B4-01A 55 years, female, black or african american, stage:Stage III, dead, 510 days 64.5
TCGA-FD-A3B7-01A 66 years, male, black or african american, stage:Stage III, dead, 122 days 59.6
TCGA-YC-A9TC-01A 71 years, male, white, stage:Stage IV, dead, 20 days 54.5
TCGA-XF-AAN8-01A 74 years, female, white, stage:Stage III, dead, 118 days 54.5
TCGA-DK-AA6Q-01A 61 years, female, white, stage:Stage IV, dead, 413 days 41.8
TCGA-ZF-AA4N-01A 74 years, male, white, stage:Stage II, dead, 88 days 27.1
TCGA-GU-A42Q-01A 67 years, male, white, stage:Stage III, dead, 344 days 25.4
TCGA-ZF-A9RN-01A 67 years, female, white, stage:Stage III, dead, 615 days 12.0
TCGA-FD-A3B6-01A 75 years, male, white, stage:Stage II, dead, 1005 days 10.3
TCGA-4Z-AA82-01A 59 years, male, black or african american, stage:Stage IV, dead, 1556 days 8.9
TCGA-ZF-AA54-01A 71 years, male, white, stage:Stage III, dead, 590 days 3.9
TCGA-G2-A2EL-01A 77 years, male, white, stage:Stage II, dead, 819 days 3.1
TCGA-XF-AAN7-01A 60 years, male, white, stage:Stage IV, dead, 565 days 1.3
TCGA-BL-A3JM-01A 62 years, male, white, stage:Stage III, dead, 205 days 0.7
TCGA-GU-A762-01A 87 years, male, white, stage:Stage IV, dead, 232 days 0.2
TCGA-XF-AAN4-01A 77 years, female, white, stage:Stage III, dead, 823 days 0.0
TCGA-BL-A13I-01A 57 years, female, white, stage:Stage III, dead, 223 days 0.0
TCGA-G2-AA3C-01A 66 years, male, white, stage:Stage IV, dead, 211 days 0.0
TCGA-BT-A20O-01A 75 years, male, white, stage:Stage III, dead, 370 days 0.0
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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.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA019502
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Urothelial carcinoma, Low grade
Urothelial carcinoma, High grade
Urothelial carcinoma, Low grade
Urothelial carcinoma, High grade

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