Expression of RPL31 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

RPL31 is not prognostic in Bladder Urothelial Carcinoma (TCGA)

Stage:

Survival analysis

Current cut offⁱ :

Best expression cut offⁱ : 1082.93

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

2658.9

Number of samples

169

Samples

Sample	Description	pTPM
TCGA-ZF-AA54-01A	71 years, male, white, stage:Stage III, dead, 590 days	33753.3
TCGA-BT-A0S7-01A	75 years, male, white, stage:Stage III, dead, 200 days	7257.7
TCGA-ZF-A9RN-01A	67 years, female, white, stage:Stage III, dead, 615 days	5350.4
TCGA-XF-AAMH-01A	80 years, male, white, stage:Stage IV, dead, 344 days	5205.3
TCGA-FJ-A871-01A	49 years, male, white, stage:Stage III, dead, 272 days	5053.8
TCGA-CF-A47T-01A	58 years, female, asian, stage:Stage II, dead, 385 days	5018.3
TCGA-UY-A78N-01A	80 years, male, white, stage:Stage IV, dead, 2641 days	4980.4
TCGA-ZF-AA5N-01A	62 years, female, white, stage:Stage IV, dead, 168 days	4974.4
TCGA-BL-A13J-01A	65 years, male, white, stage:Stage IV, dead, 81 days	4780.1
TCGA-FD-A62O-01A	74 years, male, white, stage:Stage IV, dead, 216 days	4771.9
TCGA-XF-AAN1-01A	75 years, female, stage:Stage III, dead, 941 days	4673.3
TCGA-2F-A9KP-01A	66 years, male, white, stage:Stage IV, dead, 364 days	4652.4
TCGA-DK-A2I2-01A	63 years, female, white, stage:Stage IV, dead, 237 days	4629.1
TCGA-G2-A2EC-01A	58 years, female, black or african american, stage:Stage II, dead, 696 days	4617.5
TCGA-DK-AA75-01A	82 years, male, white, stage:Stage III, dead, 340 days	4574.0
TCGA-XF-AAN8-01A	74 years, female, white, stage:Stage III, dead, 118 days	4420.4
TCGA-ZF-AA4N-01A	74 years, male, white, stage:Stage II, dead, 88 days	4274.2
TCGA-XF-A9SH-01A	65 years, female, asian, stage:Stage II, dead, 1971 days	4228.6
TCGA-XF-A8HF-01A	80 years, male, white, stage:Stage III, dead, 2954 days	4075.2
TCGA-DK-AA6W-01A	78 years, male, white, stage:Stage II, dead, 415 days	4073.4
TCGA-GC-A3BM-01A	70 years, male, white, stage:Stage II, dead, 651 days	4073.0
TCGA-XF-A8HG-01A	69 years, male, white, stage:Stage III, dead, 467 days	4066.7
TCGA-XF-A8HI-01A	57 years, female, white, stage:Stage IV, dead, 544 days	4050.3
TCGA-ZF-AA4U-01A	70 years, male, white, stage:Stage III, dead, 262 days	4039.8
TCGA-BT-A20W-01A	71 years, male, white, stage:Stage II, dead, 254 days	4031.6
TCGA-FD-A6TG-01A	73 years, male, white, stage:Stage IV, dead, 93 days	3969.7
TCGA-GU-AATQ-01A	68 years, male, white, stage:Stage III, dead, 213 days	3913.1
TCGA-2F-A9KO-01A	63 years, male, white, stage:Stage IV, dead, 734 days	3871.7
TCGA-FD-A3B4-01A	55 years, female, black or african american, stage:Stage III, dead, 510 days	3848.1
TCGA-K4-A5RI-01A	67 years, female, white, stage:Stage III, dead, 356 days	3832.0
TCGA-FJ-A3ZE-01A	65 years, male, white, stage:Stage IV, dead, 324 days	3796.8
TCGA-4Z-AA7N-01A	65 years, male, white, stage:Stage III, dead, 1367 days	3745.9
TCGA-BT-A3PH-01A	76 years, male, white, stage:Stage IV, dead, 142 days	3733.3
TCGA-5N-A9KM-01A	73 years, female, white, stage:Stage III, dead, 530 days	3692.1
TCGA-E7-A4XJ-01A	66 years, male, asian, stage:Stage II, dead, 68 days	3680.4
TCGA-UY-A78M-01A	81 years, female, asian, stage:Stage IV, dead, 690 days	3660.4
TCGA-ZF-AA56-01A	79 years, female, white, stage:Stage III, dead, 259 days	3559.0
TCGA-BT-A20N-01A	72 years, male, stage:Stage III, dead, 795 days	3518.6
TCGA-DK-AA6Q-01A	61 years, female, white, stage:Stage IV, dead, 413 days	3494.0
TCGA-FD-A6TF-01A	80 years, female, white, stage:Stage IV, dead, 69 days	3490.5
TCGA-ZF-A9RD-01A	75 years, female, white, stage:Stage IV, dead, 408 days	3444.9
TCGA-G2-A2EO-01A	69 years, male, white, stage:Stage III, dead, 1804 days	3430.2
TCGA-4Z-AA7Q-01A	79 years, male, white, stage:Stage III, dead, 510 days	3406.4
TCGA-CU-A0YO-01A	84 years, male, white, stage:Stage IV, dead, 149 days	3399.0
TCGA-FD-A5BV-01A	47 years, female, white, stage:Stage III, dead, 163 days	3371.9
TCGA-FD-A3B6-01A	75 years, male, white, stage:Stage II, dead, 1005 days	3341.6
TCGA-DK-A1A3-01A	60 years, male, white, stage:Stage IV, dead, 665 days	3330.7
TCGA-GU-A762-01A	87 years, male, white, stage:Stage IV, dead, 232 days	3327.6
TCGA-FD-A6TD-01A	77 years, male, white, stage:Stage III, dead, 386 days	3270.0
TCGA-G2-A2ES-01A	85 years, male, white, stage:Stage II, dead, 1004 days	3239.9
TCGA-FJ-A3Z9-01A	72 years, male, white, stage:'--, dead, 385 days	3197.0
TCGA-CU-A72E-01A	76 years, male, white, stage:Stage IV, dead, 413 days	3181.9
TCGA-GU-A42Q-01A	67 years, male, white, stage:Stage III, dead, 344 days	3176.3
TCGA-FD-A6TH-01A	63 years, male, white, stage:Stage IV, dead, 131 days	3164.8
TCGA-XF-A9SP-01A	59 years, male, white, stage:Stage III, dead, 454 days	3141.6
TCGA-UY-A78K-01A	60 years, male, white, stage:Stage IV, dead, 536 days	3132.5
TCGA-FD-A3SS-01A	66 years, male, white, stage:Stage IV, dead, 391 days	3131.4
TCGA-XF-AAN2-01A	73 years, male, white, stage:Stage II, dead, 1869 days	3131.1
TCGA-XF-AAML-01A	75 years, male, white, stage:Stage II, dead, 232 days	3129.6
TCGA-CF-A9FL-01A	85 years, male, asian, stage:Stage III, dead, 565 days	3110.4
TCGA-FD-A5BX-01A	82 years, male, white, stage:Stage IV, dead, 173 days	3080.7
TCGA-4Z-AA86-01A	66 years, male, black or african american, stage:Stage IV, dead, 311 days	3076.5
TCGA-2F-A9KW-01A	67 years, female, white, stage:Stage III, dead, 254 days	3048.4
TCGA-5N-A9KI-01A	76 years, female, white, stage:Stage III, dead, 76 days	3006.4
TCGA-XF-A9SK-01A	65 years, male, white, stage:Stage IV, dead, 486 days	3003.8
TCGA-BT-A20X-01A	56 years, male, white, stage:Stage IV, dead, 251 days	2951.4
TCGA-DK-A3IQ-01A	74 years, male, white, stage:Stage III, dead, 539 days	2949.7
TCGA-XF-A9SZ-01A	79 years, male, white, stage:Stage IV, dead, 859 days	2927.8
TCGA-FD-A3SQ-01A	62 years, male, white, stage:Stage IV, dead, 1423 days	2897.7
TCGA-XF-AAN7-01A	60 years, male, white, stage:Stage IV, dead, 565 days	2893.0
TCGA-GV-A3QF-01A	79 years, male, white, stage:Stage IV, dead, 617 days	2865.7
TCGA-4Z-AA82-01A	59 years, male, black or african american, stage:Stage IV, dead, 1556 days	2855.4
TCGA-DK-A3IU-01A	58 years, male, white, stage:Stage II, dead, 706 days	2849.0
TCGA-BT-A20V-01A	59 years, female, black or african american, stage:Stage IV, dead, 154 days	2841.4
TCGA-4Z-AA7R-01A	73 years, male, black or african american, stage:Stage IV, dead, 522 days	2817.6
TCGA-DK-A1AB-01A	74 years, female, white, stage:Stage IV, dead, 508 days	2788.2
TCGA-FD-A43Y-01A	65 years, male, white, stage:Stage III, dead, 474 days	2743.5
TCGA-CU-A0YR-01A	83 years, male, white, stage:Stage IV, dead, 460 days	2657.4
TCGA-XF-AAMW-01A	79 years, female, white, stage:Stage IV, dead, 253 days	2621.6
TCGA-GV-A3QH-01A	67 years, male, white, stage:Stage II, dead, 258 days	2534.8
TCGA-C4-A0EZ-01A	69 years, female, stage:Stage IV, dead, 273 days	2531.6
TCGA-E7-A97P-01A	73 years, male, asian, stage:Stage II, dead, 437 days	2519.6
TCGA-ZF-A9R0-01A	82 years, male, white, stage:Stage III, dead, 680 days	2515.6
TCGA-BT-A2LB-01A	73 years, female, white, stage:Stage III, dead, 492 days	2510.2
TCGA-GU-A42R-01A	68 years, male, white, stage:Stage IV, dead, 577 days	2465.8
TCGA-E7-A3X6-01A	70 years, male, white, stage:Stage II, dead, 904 days	2462.9
TCGA-XF-AAN0-01A	68 years, male, white, stage:Stage IV, dead, 1718 days	2453.3
TCGA-HQ-A5ND-01A	78 years, male, stage:Stage IV, dead, 274 days	2400.3
TCGA-FD-A3B7-01A	66 years, male, black or african american, stage:Stage III, dead, 122 days	2393.9
TCGA-K4-A4AC-01A	83 years, male, white, stage:Stage II, dead, 278 days	2360.8
TCGA-XF-A8HC-01A	79 years, male, asian, stage:Stage IV, dead, 200 days	2344.4
TCGA-FD-A62P-01A	76 years, male, white, stage:Stage II, dead, 191 days	2339.7
TCGA-XF-AAMT-01A	75 years, female, white, stage:Stage IV, dead, 90 days	2339.2
TCGA-G2-A3IB-01A	66 years, male, black or african american, stage:Stage II, dead, 220 days	2338.2
TCGA-BT-A3PK-01A	80 years, male, white, stage:Stage II, dead, 303 days	2328.0
TCGA-BT-A2LD-01A	78 years, female, white, stage:Stage IV, dead, 623 days	2326.6
TCGA-FD-A3SM-01A	70 years, male, white, stage:Stage IV, dead, 547 days	2224.6
TCGA-E5-A4TZ-01A	64 years, male, white, stage:Stage IV, dead, 467 days	2218.5
TCGA-HQ-A5NE-01A	57 years, male, stage:Stage III, dead, 370 days	2209.9
TCGA-FD-A3N5-01A	69 years, male, black or african american, stage:Stage II, dead, 685 days	2168.9
TCGA-FD-A3B5-01A	86 years, male, black or african american, stage:Stage IV, dead, 272 days	2093.7
TCGA-BT-A20Q-01A	73 years, male, white, stage:Stage IV, dead, 593 days	2090.2
TCGA-FD-A3SJ-01A	59 years, male, white, stage:Stage IV, dead, 739 days	2073.3
TCGA-BT-A20J-01A	75 years, male, white, stage:Stage II, dead, 579 days	2064.8
TCGA-GV-A3JV-01A	66 years, male, white, stage:Stage IV, dead, 434 days	2053.2
TCGA-FD-A3B3-01A	74 years, female, white, stage:Stage III, dead, 974 days	2050.6
TCGA-XF-A8HH-01A	61 years, female, white, stage:Stage IV, dead, 57 days	2033.7
TCGA-GU-A767-01A	81 years, male, white, stage:Stage IV, dead, 144 days	2015.0
TCGA-CU-A5W6-01A	70 years, male, white, stage:Stage III, dead, 56 days	1963.1
TCGA-FD-A5C0-01A	61 years, male, white, stage:Stage IV, dead, 550 days	1897.3
TCGA-ZF-A9R3-01A	53 years, female, white, stage:Stage II, dead, 949 days	1886.9
TCGA-C4-A0F7-01A	77 years, male, stage:Stage IV, dead, 62 days	1872.1
TCGA-GU-AATO-01A	75 years, male, white, stage:Stage IV, dead, 324 days	1755.3
TCGA-FD-A6TI-01A	73 years, male, white, stage:Stage IV, dead, 294 days	1708.7
TCGA-BL-A13I-01A	57 years, female, white, stage:Stage III, dead, 223 days	1659.5
TCGA-BT-A0YX-01A	70 years, female, white, stage:Stage III, dead, 400 days	1605.5
TCGA-CU-A0YN-01A	60 years, male, white, stage:Stage III, dead, 393 days	1601.2
TCGA-BL-A3JM-01A	62 years, male, white, stage:Stage III, dead, 205 days	1584.1
TCGA-XF-AAMZ-01A	81 years, female, white, stage:Stage IV, dead, 1348 days	1577.6
TCGA-DK-A1A5-01A	79 years, male, white, stage:Stage II, dead, 65 days	1544.7
TCGA-DK-A3IK-01A	87 years, male, white, stage:Stage IV, dead, 146 days	1540.1
TCGA-G2-A2EL-01A	77 years, male, white, stage:Stage II, dead, 819 days	1497.8
TCGA-DK-A3IL-01A	79 years, female, white, stage:Stage IV, dead, 413 days	1467.2
TCGA-FD-A3SO-01A	68 years, male, white, stage:Stage IV, dead, 168 days	1400.3
TCGA-XF-A9SL-01A	69 years, male, white, stage:Stage IV, dead, 2020 days	1249.6
TCGA-YC-A9TC-01A	71 years, male, white, stage:Stage IV, dead, 20 days	1241.5
TCGA-XF-A9T2-01A	54 years, male, white, stage:Stage III, dead, 575 days	1209.7
TCGA-XF-A9ST-01A	68 years, male, white, stage:Stage III, dead, 128 days	1189.5
TCGA-GU-A42P-01A	72 years, male, white, stage:Stage IV, dead, 332 days	1189.4
TCGA-FD-A3SR-01A	68 years, male, white, stage:Stage IV, dead, 602 days	1141.7
TCGA-GV-A40E-01A	75 years, male, white, stage:Stage II, dead, 261 days	1141.0
TCGA-S5-A6DX-01A	83 years, male, white, stage:Stage IV, dead, 56 days	1103.7
TCGA-SY-A9G0-01A	82 years, male, white, stage:Stage IV, dead, 1008 days	1062.2
TCGA-G2-A3IE-01A	51 years, male, white, stage:Stage II, dead, 612 days	1049.1
TCGA-DK-AA6L-01A	48 years, male, white, stage:Stage IV, dead, 1163 days	1044.2
TCGA-FD-A5BT-01A	84 years, male, white, stage:Stage III, dead, 328 days	1019.6
TCGA-XF-A9SW-01A	85 years, male, white, stage:Stage IV, dead, 362 days	994.0
TCGA-BT-A20P-01A	81 years, female, white, stage:Stage III, dead, 544 days	989.6
TCGA-XF-AAMX-01A	87 years, female, black or african american, stage:Stage III, dead, 206 days	972.0
TCGA-4Z-AA7S-01A	66 years, male, black or african american, stage:Stage III, dead, 1064 days	929.5
TCGA-DK-A3IN-01A	72 years, male, white, stage:Stage III, dead, 250 days	893.1
TCGA-FD-A3SL-01A	60 years, male, white, stage:Stage IV, dead, 712 days	887.1
TCGA-XF-AAN4-01A	77 years, female, white, stage:Stage III, dead, 823 days	839.7
TCGA-XF-A9SU-01A	74 years, female, white, stage:Stage IV, dead, 182 days	787.6
TCGA-E7-A541-01A	66 years, male, white, stage:Stage II, dead, 778 days	787.1
TCGA-G2-AA3C-01A	66 years, male, white, stage:Stage IV, dead, 211 days	785.8
TCGA-BT-A20O-01A	75 years, male, white, stage:Stage III, dead, 370 days	752.5
TCGA-4Z-AA80-01A	73 years, male, white, stage:Stage II, dead, 19 days	722.1
TCGA-ZF-A9RE-01A	78 years, female, white, stage:Stage II, dead, 106 days	675.9
TCGA-XF-A9SJ-01A	83 years, male, white, stage:Stage IV, dead, 98 days	675.5
TCGA-BT-A20U-01A	70 years, female, white, stage:Stage III, dead, 455 days	664.1
TCGA-DK-A3IM-01A	76 years, male, white, stage:Stage III, dead, 248 days	630.4
TCGA-ZF-AA4T-01A	65 years, male, white, stage:Stage IV, dead, 599 days	626.3
TCGA-GC-A3I6-01A	45 years, male, white, stage:Stage III, dead, 630 days	608.6
TCGA-XF-AAME-01A	64 years, female, white, stage:Stage II, dead, 2828 days	567.3
TCGA-XF-A9T8-01A	64 years, male, white, stage:Stage III, dead, 418 days	558.7
TCGA-4Z-AA81-01A	80 years, male, white, stage:Stage II, dead, 1270 days	548.0
TCGA-ZF-AA52-01A	70 years, male, white, stage:Stage III, dead, 1077 days	545.7
TCGA-BT-A20T-01A	63 years, male, white, stage:Stage IV, dead, 453 days	502.7
TCGA-2F-A9KR-01A	59 years, female, stage:Stage III, dead, 3183 days	492.9
TCGA-ZF-AA4R-01A	67 years, male, white, stage:Stage IV, dead, 1036 days	486.5
TCGA-XF-A9SV-01A	82 years, male, white, stage:Stage IV, dead, 388 days	465.9
TCGA-DK-A3X2-01A	85 years, male, white, stage:Stage IV, dead, 547 days	454.1
TCGA-XF-A9SX-01A	63 years, female, white, stage:Stage IV, dead, 719 days	451.7
TCGA-FD-A62S-01A	60 years, female, black or african american, stage:Stage III, dead, 406 days	449.9
TCGA-DK-A2HX-01A	80 years, female, white, stage:Stage IV, dead, 1420 days	447.1
TCGA-XF-AAMJ-01A	70 years, male, asian, stage:Stage III, dead, 1670 days	430.3
TCGA-FD-A5BZ-01A	77 years, female, white, stage:Stage IV, dead, 835 days	402.3
TCGA-ZF-A9R9-01A	58 years, male, white, stage:Stage IV, dead, 864 days	316.6
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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 HPA072263
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, High grade
Urothelial carcinoma, NOS Urothelial carcinoma, High grade
Urothelial carcinoma, Low grade