Expression of RPLP2 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

RPLP2 is not prognostic in Bladder Urothelial Carcinoma (TCGA)

Stage:

Survival analysis

Current cut offⁱ :

Best expression cut offⁱ : 2374.97

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

3230.6

Number of samples

169

Samples

Sample	Description	pTPM
TCGA-FD-A5BT-01A	84 years, male, white, stage:Stage III, dead, 328 days	9510.6
TCGA-XF-AAMH-01A	80 years, male, white, stage:Stage IV, dead, 344 days	9510.2
TCGA-CF-A47T-01A	58 years, female, asian, stage:Stage II, dead, 385 days	7132.0
TCGA-DK-AA75-01A	82 years, male, white, stage:Stage III, dead, 340 days	6864.8
TCGA-BT-A0S7-01A	75 years, male, white, stage:Stage III, dead, 200 days	6099.9
TCGA-FD-A5BX-01A	82 years, male, white, stage:Stage IV, dead, 173 days	5815.8
TCGA-GU-A762-01A	87 years, male, white, stage:Stage IV, dead, 232 days	5631.9
TCGA-FJ-A871-01A	49 years, male, white, stage:Stage III, dead, 272 days	5563.5
TCGA-XF-AAN1-01A	75 years, female, stage:Stage III, dead, 941 days	5550.0
TCGA-XF-AAN8-01A	74 years, female, white, stage:Stage III, dead, 118 days	5463.1
TCGA-ZF-AA5N-01A	62 years, female, white, stage:Stage IV, dead, 168 days	5427.5
TCGA-UY-A78N-01A	80 years, male, white, stage:Stage IV, dead, 2641 days	5392.1
TCGA-G2-A2EO-01A	69 years, male, white, stage:Stage III, dead, 1804 days	5224.3
TCGA-XF-A9SL-01A	69 years, male, white, stage:Stage IV, dead, 2020 days	5159.7
TCGA-XF-A9SX-01A	63 years, female, white, stage:Stage IV, dead, 719 days	5112.1
TCGA-CU-A0YO-01A	84 years, male, white, stage:Stage IV, dead, 149 days	5105.4
TCGA-E7-A4XJ-01A	66 years, male, asian, stage:Stage II, dead, 68 days	5060.6
TCGA-DK-AA6W-01A	78 years, male, white, stage:Stage II, dead, 415 days	4954.9
TCGA-ZF-AA4N-01A	74 years, male, white, stage:Stage II, dead, 88 days	4944.0
TCGA-G2-A2EL-01A	77 years, male, white, stage:Stage II, dead, 819 days	4878.7
TCGA-ZF-A9R9-01A	58 years, male, white, stage:Stage IV, dead, 864 days	4787.6
TCGA-2F-A9KP-01A	66 years, male, white, stage:Stage IV, dead, 364 days	4660.8
TCGA-XF-A9SU-01A	74 years, female, white, stage:Stage IV, dead, 182 days	4647.7
TCGA-UY-A78M-01A	81 years, female, asian, stage:Stage IV, dead, 690 days	4599.1
TCGA-YC-A9TC-01A	71 years, male, white, stage:Stage IV, dead, 20 days	4552.1
TCGA-ZF-AA54-01A	71 years, male, white, stage:Stage III, dead, 590 days	4520.7
TCGA-FD-A3B4-01A	55 years, female, black or african american, stage:Stage III, dead, 510 days	4387.8
TCGA-FD-A6TF-01A	80 years, female, white, stage:Stage IV, dead, 69 days	4356.6
TCGA-2F-A9KW-01A	67 years, female, white, stage:Stage III, dead, 254 days	4350.4
TCGA-C4-A0F7-01A	77 years, male, stage:Stage IV, dead, 62 days	4271.2
TCGA-GU-AATO-01A	75 years, male, white, stage:Stage IV, dead, 324 days	4248.4
TCGA-G2-AA3C-01A	66 years, male, white, stage:Stage IV, dead, 211 days	4220.4
TCGA-K4-A4AC-01A	83 years, male, white, stage:Stage II, dead, 278 days	4220.4
TCGA-BT-A2LB-01A	73 years, female, white, stage:Stage III, dead, 492 days	4193.2
TCGA-FD-A3B6-01A	75 years, male, white, stage:Stage II, dead, 1005 days	4187.7
TCGA-DK-AA6Q-01A	61 years, female, white, stage:Stage IV, dead, 413 days	4176.9
TCGA-CU-A72E-01A	76 years, male, white, stage:Stage IV, dead, 413 days	4174.8
TCGA-4Z-AA7N-01A	65 years, male, white, stage:Stage III, dead, 1367 days	4080.6
TCGA-XF-AAN2-01A	73 years, male, white, stage:Stage II, dead, 1869 days	4067.3
TCGA-FD-A62O-01A	74 years, male, white, stage:Stage IV, dead, 216 days	4060.2
TCGA-FJ-A3Z9-01A	72 years, male, white, stage:'--, dead, 385 days	4055.0
TCGA-XF-AAMT-01A	75 years, female, white, stage:Stage IV, dead, 90 days	4030.9
TCGA-ZF-A9RN-01A	67 years, female, white, stage:Stage III, dead, 615 days	4025.8
TCGA-E7-A541-01A	66 years, male, white, stage:Stage II, dead, 778 days	3990.5
TCGA-FD-A43Y-01A	65 years, male, white, stage:Stage III, dead, 474 days	3982.3
TCGA-UY-A78K-01A	60 years, male, white, stage:Stage IV, dead, 536 days	3982.1
TCGA-DK-A1A3-01A	60 years, male, white, stage:Stage IV, dead, 665 days	3975.0
TCGA-S5-A6DX-01A	83 years, male, white, stage:Stage IV, dead, 56 days	3892.9
TCGA-DK-A2I2-01A	63 years, female, white, stage:Stage IV, dead, 237 days	3849.6
TCGA-G2-A2EC-01A	58 years, female, black or african american, stage:Stage II, dead, 696 days	3844.2
TCGA-XF-A9SK-01A	65 years, male, white, stage:Stage IV, dead, 486 days	3808.2
TCGA-BT-A20W-01A	71 years, male, white, stage:Stage II, dead, 254 days	3806.4
TCGA-G2-A2ES-01A	85 years, male, white, stage:Stage II, dead, 1004 days	3786.9
TCGA-DK-A3IU-01A	58 years, male, white, stage:Stage II, dead, 706 days	3764.5
TCGA-GU-A767-01A	81 years, male, white, stage:Stage IV, dead, 144 days	3756.6
TCGA-FD-A3B3-01A	74 years, female, white, stage:Stage III, dead, 974 days	3722.7
TCGA-CF-A9FL-01A	85 years, male, asian, stage:Stage III, dead, 565 days	3714.2
TCGA-XF-A9ST-01A	68 years, male, white, stage:Stage III, dead, 128 days	3686.5
TCGA-XF-A8HH-01A	61 years, female, white, stage:Stage IV, dead, 57 days	3545.3
TCGA-FD-A3SO-01A	68 years, male, white, stage:Stage IV, dead, 168 days	3483.0
TCGA-XF-A8HI-01A	57 years, female, white, stage:Stage IV, dead, 544 days	3478.5
TCGA-4Z-AA81-01A	80 years, male, white, stage:Stage II, dead, 1270 days	3430.3
TCGA-ZF-A9R0-01A	82 years, male, white, stage:Stage III, dead, 680 days	3407.3
TCGA-ZF-AA4U-01A	70 years, male, white, stage:Stage III, dead, 262 days	3405.2
TCGA-XF-A8HC-01A	79 years, male, asian, stage:Stage IV, dead, 200 days	3404.9
TCGA-GU-A42Q-01A	67 years, male, white, stage:Stage III, dead, 344 days	3398.4
TCGA-XF-A9T2-01A	54 years, male, white, stage:Stage III, dead, 575 days	3367.9
TCGA-DK-AA6L-01A	48 years, male, white, stage:Stage IV, dead, 1163 days	3360.2
TCGA-BT-A20X-01A	56 years, male, white, stage:Stage IV, dead, 251 days	3358.2
TCGA-K4-A5RI-01A	67 years, female, white, stage:Stage III, dead, 356 days	3326.1
TCGA-ZF-AA56-01A	79 years, female, white, stage:Stage III, dead, 259 days	3308.5
TCGA-XF-A8HG-01A	69 years, male, white, stage:Stage III, dead, 467 days	3292.3
TCGA-G2-A3IB-01A	66 years, male, black or african american, stage:Stage II, dead, 220 days	3244.2
TCGA-FD-A5BV-01A	47 years, female, white, stage:Stage III, dead, 163 days	3238.8
TCGA-XF-A9SP-01A	59 years, male, white, stage:Stage III, dead, 454 days	3213.9
TCGA-4Z-AA7Q-01A	79 years, male, white, stage:Stage III, dead, 510 days	3208.3
TCGA-XF-AAN0-01A	68 years, male, white, stage:Stage IV, dead, 1718 days	3182.8
TCGA-FD-A6TD-01A	77 years, male, white, stage:Stage III, dead, 386 days	3173.0
TCGA-ZF-AA52-01A	70 years, male, white, stage:Stage III, dead, 1077 days	3144.0
TCGA-BT-A20J-01A	75 years, male, white, stage:Stage II, dead, 579 days	3088.1
TCGA-BT-A2LD-01A	78 years, female, white, stage:Stage IV, dead, 623 days	3047.1
TCGA-DK-A3IQ-01A	74 years, male, white, stage:Stage III, dead, 539 days	3044.7
TCGA-XF-A8HF-01A	80 years, male, white, stage:Stage III, dead, 2954 days	3030.7
TCGA-4Z-AA7R-01A	73 years, male, black or african american, stage:Stage IV, dead, 522 days	3027.4
TCGA-FD-A6TH-01A	63 years, male, white, stage:Stage IV, dead, 131 days	3011.4
TCGA-GV-A3JV-01A	66 years, male, white, stage:Stage IV, dead, 434 days	2987.0
TCGA-4Z-AA82-01A	59 years, male, black or african american, stage:Stage IV, dead, 1556 days	2982.3
TCGA-CU-A0YN-01A	60 years, male, white, stage:Stage III, dead, 393 days	2933.5
TCGA-BT-A20Q-01A	73 years, male, white, stage:Stage IV, dead, 593 days	2922.0
TCGA-GV-A40E-01A	75 years, male, white, stage:Stage II, dead, 261 days	2918.5
TCGA-2F-A9KO-01A	63 years, male, white, stage:Stage IV, dead, 734 days	2894.4
TCGA-FD-A3SQ-01A	62 years, male, white, stage:Stage IV, dead, 1423 days	2786.8
TCGA-XF-A9T8-01A	64 years, male, white, stage:Stage III, dead, 418 days	2774.4
TCGA-5N-A9KI-01A	76 years, female, white, stage:Stage III, dead, 76 days	2769.9
TCGA-C4-A0EZ-01A	69 years, female, stage:Stage IV, dead, 273 days	2752.3
TCGA-ZF-A9RD-01A	75 years, female, white, stage:Stage IV, dead, 408 days	2711.5
TCGA-GC-A3BM-01A	70 years, male, white, stage:Stage II, dead, 651 days	2707.9
TCGA-BT-A20V-01A	59 years, female, black or african american, stage:Stage IV, dead, 154 days	2666.1
TCGA-FD-A6TG-01A	73 years, male, white, stage:Stage IV, dead, 93 days	2661.8
TCGA-SY-A9G0-01A	82 years, male, white, stage:Stage IV, dead, 1008 days	2654.2
TCGA-E5-A4TZ-01A	64 years, male, white, stage:Stage IV, dead, 467 days	2648.0
TCGA-BL-A3JM-01A	62 years, male, white, stage:Stage III, dead, 205 days	2633.8
TCGA-FD-A6TI-01A	73 years, male, white, stage:Stage IV, dead, 294 days	2633.1
TCGA-FD-A5BZ-01A	77 years, female, white, stage:Stage IV, dead, 835 days	2629.9
TCGA-BT-A20P-01A	81 years, female, white, stage:Stage III, dead, 544 days	2570.9
TCGA-XF-A9SJ-01A	83 years, male, white, stage:Stage IV, dead, 98 days	2569.3
TCGA-BT-A3PK-01A	80 years, male, white, stage:Stage II, dead, 303 days	2562.0
TCGA-4Z-AA80-01A	73 years, male, white, stage:Stage II, dead, 19 days	2526.3
TCGA-BT-A3PH-01A	76 years, male, white, stage:Stage IV, dead, 142 days	2524.0
TCGA-FD-A5C0-01A	61 years, male, white, stage:Stage IV, dead, 550 days	2521.8
TCGA-XF-A9SZ-01A	79 years, male, white, stage:Stage IV, dead, 859 days	2511.0
TCGA-E7-A97P-01A	73 years, male, asian, stage:Stage II, dead, 437 days	2501.6
TCGA-BT-A20U-01A	70 years, female, white, stage:Stage III, dead, 455 days	2486.2
TCGA-HQ-A5NE-01A	57 years, male, stage:Stage III, dead, 370 days	2485.0
TCGA-ZF-A9R3-01A	53 years, female, white, stage:Stage II, dead, 949 days	2484.4
TCGA-XF-AAN4-01A	77 years, female, white, stage:Stage III, dead, 823 days	2483.2
TCGA-XF-AAMW-01A	79 years, female, white, stage:Stage IV, dead, 253 days	2477.9
TCGA-FD-A62P-01A	76 years, male, white, stage:Stage II, dead, 191 days	2442.0
TCGA-GU-AATQ-01A	68 years, male, white, stage:Stage III, dead, 213 days	2436.8
TCGA-GV-A3QH-01A	67 years, male, white, stage:Stage II, dead, 258 days	2419.4
TCGA-BT-A0YX-01A	70 years, female, white, stage:Stage III, dead, 400 days	2415.8
TCGA-HQ-A5ND-01A	78 years, male, stage:Stage IV, dead, 274 days	2397.8
TCGA-XF-A9SW-01A	85 years, male, white, stage:Stage IV, dead, 362 days	2375.0
TCGA-XF-A9SH-01A	65 years, female, asian, stage:Stage II, dead, 1971 days	2373.0
TCGA-4Z-AA86-01A	66 years, male, black or african american, stage:Stage IV, dead, 311 days	2338.7
TCGA-FD-A3SJ-01A	59 years, male, white, stage:Stage IV, dead, 739 days	2317.6
TCGA-GU-A42P-01A	72 years, male, white, stage:Stage IV, dead, 332 days	2309.6
TCGA-FD-A3B5-01A	86 years, male, black or african american, stage:Stage IV, dead, 272 days	2304.7
TCGA-XF-AAMZ-01A	81 years, female, white, stage:Stage IV, dead, 1348 days	2303.0
TCGA-FD-A3B7-01A	66 years, male, black or african american, stage:Stage III, dead, 122 days	2205.0
TCGA-FD-A3N5-01A	69 years, male, black or african american, stage:Stage II, dead, 685 days	2197.8
TCGA-XF-AAME-01A	64 years, female, white, stage:Stage II, dead, 2828 days	2167.3
TCGA-DK-A3X2-01A	85 years, male, white, stage:Stage IV, dead, 547 days	2150.5
TCGA-FJ-A3ZE-01A	65 years, male, white, stage:Stage IV, dead, 324 days	2148.6
TCGA-XF-AAN7-01A	60 years, male, white, stage:Stage IV, dead, 565 days	2147.4
TCGA-XF-AAML-01A	75 years, male, white, stage:Stage II, dead, 232 days	2144.9
TCGA-BL-A13I-01A	57 years, female, white, stage:Stage III, dead, 223 days	2099.7
TCGA-5N-A9KM-01A	73 years, female, white, stage:Stage III, dead, 530 days	2022.4
TCGA-XF-AAMJ-01A	70 years, male, asian, stage:Stage III, dead, 1670 days	2019.0
TCGA-FD-A3SS-01A	66 years, male, white, stage:Stage IV, dead, 391 days	1995.2
TCGA-ZF-A9RE-01A	78 years, female, white, stage:Stage II, dead, 106 days	1980.7
TCGA-BL-A13J-01A	65 years, male, white, stage:Stage IV, dead, 81 days	1959.8
TCGA-DK-A1A5-01A	79 years, male, white, stage:Stage II, dead, 65 days	1926.2
TCGA-FD-A62S-01A	60 years, female, black or african american, stage:Stage III, dead, 406 days	1925.7
TCGA-FD-A3SM-01A	70 years, male, white, stage:Stage IV, dead, 547 days	1900.9
TCGA-GV-A3QF-01A	79 years, male, white, stage:Stage IV, dead, 617 days	1889.7
TCGA-G2-A3IE-01A	51 years, male, white, stage:Stage II, dead, 612 days	1884.8
TCGA-4Z-AA7S-01A	66 years, male, black or african american, stage:Stage III, dead, 1064 days	1865.0
TCGA-BT-A20N-01A	72 years, male, stage:Stage III, dead, 795 days	1864.0
TCGA-2F-A9KR-01A	59 years, female, stage:Stage III, dead, 3183 days	1850.9
TCGA-CU-A5W6-01A	70 years, male, white, stage:Stage III, dead, 56 days	1813.8
TCGA-DK-A1AB-01A	74 years, female, white, stage:Stage IV, dead, 508 days	1797.9
TCGA-E7-A3X6-01A	70 years, male, white, stage:Stage II, dead, 904 days	1790.6
TCGA-DK-A3IL-01A	79 years, female, white, stage:Stage IV, dead, 413 days	1738.8
TCGA-FD-A3SR-01A	68 years, male, white, stage:Stage IV, dead, 602 days	1724.4
TCGA-DK-A3IK-01A	87 years, male, white, stage:Stage IV, dead, 146 days	1615.1
TCGA-CU-A0YR-01A	83 years, male, white, stage:Stage IV, dead, 460 days	1516.1
TCGA-FD-A3SL-01A	60 years, male, white, stage:Stage IV, dead, 712 days	1449.7
TCGA-DK-A3IM-01A	76 years, male, white, stage:Stage III, dead, 248 days	1447.5
TCGA-ZF-AA4T-01A	65 years, male, white, stage:Stage IV, dead, 599 days	1371.9
TCGA-BT-A20T-01A	63 years, male, white, stage:Stage IV, dead, 453 days	1293.0
TCGA-DK-A3IN-01A	72 years, male, white, stage:Stage III, dead, 250 days	1284.7
TCGA-BT-A20O-01A	75 years, male, white, stage:Stage III, dead, 370 days	1280.1
TCGA-DK-A2HX-01A	80 years, female, white, stage:Stage IV, dead, 1420 days	1273.5
TCGA-XF-A9SV-01A	82 years, male, white, stage:Stage IV, dead, 388 days	1265.8
TCGA-ZF-AA4R-01A	67 years, male, white, stage:Stage IV, dead, 1036 days	1141.6
TCGA-GC-A3I6-01A	45 years, male, white, stage:Stage III, dead, 630 days	1038.6
TCGA-GU-A42R-01A	68 years, male, white, stage:Stage IV, dead, 577 days	994.9
TCGA-XF-AAMX-01A	87 years, female, black or african american, stage:Stage III, dead, 206 days	930.8
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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.

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 HPA053635
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, Low grade