Expression of FTL in urothelial cancer - The Human Protein Atlas

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

FTL is not prognostic in Bladder Urothelial Carcinoma (TCGA)

Stage:

Survival analysis

Current cut offⁱ :

Best expression cut offⁱ : 2969.19

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

5189.1

Number of samples

169

Samples

Sample	Description	pTPM
TCGA-FD-A3SM-01A	70 years, male, white, stage:Stage IV, dead, 547 days	36900.0
TCGA-GU-AATQ-01A	68 years, male, white, stage:Stage III, dead, 213 days	21299.4
TCGA-BL-A13I-01A	57 years, female, white, stage:Stage III, dead, 223 days	21278.0
TCGA-XF-AAN8-01A	74 years, female, white, stage:Stage III, dead, 118 days	20674.9
TCGA-K4-A5RI-01A	67 years, female, white, stage:Stage III, dead, 356 days	18293.4
TCGA-5N-A9KM-01A	73 years, female, white, stage:Stage III, dead, 530 days	17672.5
TCGA-G2-AA3C-01A	66 years, male, white, stage:Stage IV, dead, 211 days	15954.9
TCGA-ZF-AA56-01A	79 years, female, white, stage:Stage III, dead, 259 days	15649.3
TCGA-GU-A42Q-01A	67 years, male, white, stage:Stage III, dead, 344 days	15216.5
TCGA-DK-AA6Q-01A	61 years, female, white, stage:Stage IV, dead, 413 days	13303.3
TCGA-FD-A6TH-01A	63 years, male, white, stage:Stage IV, dead, 131 days	13038.6
TCGA-CU-A0YR-01A	83 years, male, white, stage:Stage IV, dead, 460 days	12694.7
TCGA-DK-A1A3-01A	60 years, male, white, stage:Stage IV, dead, 665 days	11253.1
TCGA-BT-A20U-01A	70 years, female, white, stage:Stage III, dead, 455 days	11001.8
TCGA-BT-A20O-01A	75 years, male, white, stage:Stage III, dead, 370 days	10719.6
TCGA-ZF-AA4N-01A	74 years, male, white, stage:Stage II, dead, 88 days	10217.6
TCGA-XF-A9SK-01A	65 years, male, white, stage:Stage IV, dead, 486 days	10203.1
TCGA-G2-A2EO-01A	69 years, male, white, stage:Stage III, dead, 1804 days	9780.4
TCGA-FD-A43Y-01A	65 years, male, white, stage:Stage III, dead, 474 days	9459.3
TCGA-BT-A2LD-01A	78 years, female, white, stage:Stage IV, dead, 623 days	9439.5
TCGA-FD-A6TG-01A	73 years, male, white, stage:Stage IV, dead, 93 days	9407.8
TCGA-FD-A3SJ-01A	59 years, male, white, stage:Stage IV, dead, 739 days	9057.7
TCGA-DK-A3IU-01A	58 years, male, white, stage:Stage II, dead, 706 days	8682.5
TCGA-ZF-AA54-01A	71 years, male, white, stage:Stage III, dead, 590 days	8211.8
TCGA-BT-A0YX-01A	70 years, female, white, stage:Stage III, dead, 400 days	8063.5
TCGA-FD-A3SQ-01A	62 years, male, white, stage:Stage IV, dead, 1423 days	8021.2
TCGA-G2-A3IB-01A	66 years, male, black or african american, stage:Stage II, dead, 220 days	7982.6
TCGA-BT-A20Q-01A	73 years, male, white, stage:Stage IV, dead, 593 days	7923.8
TCGA-FD-A3B6-01A	75 years, male, white, stage:Stage II, dead, 1005 days	7854.2
TCGA-GU-AATO-01A	75 years, male, white, stage:Stage IV, dead, 324 days	7722.5
TCGA-FD-A5BT-01A	84 years, male, white, stage:Stage III, dead, 328 days	7481.5
TCGA-XF-A8HF-01A	80 years, male, white, stage:Stage III, dead, 2954 days	7440.0
TCGA-FD-A3SS-01A	66 years, male, white, stage:Stage IV, dead, 391 days	7377.2
TCGA-FD-A5BX-01A	82 years, male, white, stage:Stage IV, dead, 173 days	7281.3
TCGA-DK-AA6L-01A	48 years, male, white, stage:Stage IV, dead, 1163 days	7187.5
TCGA-YC-A9TC-01A	71 years, male, white, stage:Stage IV, dead, 20 days	7175.8
TCGA-CU-A72E-01A	76 years, male, white, stage:Stage IV, dead, 413 days	7136.0
TCGA-BT-A20J-01A	75 years, male, white, stage:Stage II, dead, 579 days	7115.2
TCGA-GV-A3QF-01A	79 years, male, white, stage:Stage IV, dead, 617 days	7089.3
TCGA-CU-A5W6-01A	70 years, male, white, stage:Stage III, dead, 56 days	7005.5
TCGA-BT-A3PH-01A	76 years, male, white, stage:Stage IV, dead, 142 days	6442.7
TCGA-XF-A9SP-01A	59 years, male, white, stage:Stage III, dead, 454 days	6359.2
TCGA-XF-A9SZ-01A	79 years, male, white, stage:Stage IV, dead, 859 days	6073.3
TCGA-DK-A1AB-01A	74 years, female, white, stage:Stage IV, dead, 508 days	6032.5
TCGA-ZF-A9R3-01A	53 years, female, white, stage:Stage II, dead, 949 days	6016.5
TCGA-FD-A6TD-01A	77 years, male, white, stage:Stage III, dead, 386 days	5947.0
TCGA-BT-A20P-01A	81 years, female, white, stage:Stage III, dead, 544 days	5748.6
TCGA-XF-AAN0-01A	68 years, male, white, stage:Stage IV, dead, 1718 days	5606.7
TCGA-K4-A4AC-01A	83 years, male, white, stage:Stage II, dead, 278 days	5566.5
TCGA-XF-A8HC-01A	79 years, male, asian, stage:Stage IV, dead, 200 days	5519.2
TCGA-FD-A3B7-01A	66 years, male, black or african american, stage:Stage III, dead, 122 days	5307.8
TCGA-S5-A6DX-01A	83 years, male, white, stage:Stage IV, dead, 56 days	5300.0
TCGA-5N-A9KI-01A	76 years, female, white, stage:Stage III, dead, 76 days	5236.1
TCGA-FD-A5C0-01A	61 years, male, white, stage:Stage IV, dead, 550 days	5232.8
TCGA-FD-A62P-01A	76 years, male, white, stage:Stage II, dead, 191 days	5222.3
TCGA-G2-A3IE-01A	51 years, male, white, stage:Stage II, dead, 612 days	5147.9
TCGA-GU-A762-01A	87 years, male, white, stage:Stage IV, dead, 232 days	5108.3
TCGA-4Z-AA7Q-01A	79 years, male, white, stage:Stage III, dead, 510 days	4945.1
TCGA-FD-A5BZ-01A	77 years, female, white, stage:Stage IV, dead, 835 days	4867.1
TCGA-4Z-AA7N-01A	65 years, male, white, stage:Stage III, dead, 1367 days	4839.8
TCGA-2F-A9KW-01A	67 years, female, white, stage:Stage III, dead, 254 days	4821.4
TCGA-XF-AAME-01A	64 years, female, white, stage:Stage II, dead, 2828 days	4778.7
TCGA-DK-A3IQ-01A	74 years, male, white, stage:Stage III, dead, 539 days	4691.7
TCGA-FJ-A871-01A	49 years, male, white, stage:Stage III, dead, 272 days	4632.2
TCGA-FD-A3B3-01A	74 years, female, white, stage:Stage III, dead, 974 days	4601.6
TCGA-XF-AAN4-01A	77 years, female, white, stage:Stage III, dead, 823 days	4532.4
TCGA-ZF-AA52-01A	70 years, male, white, stage:Stage III, dead, 1077 days	4523.9
TCGA-2F-A9KO-01A	63 years, male, white, stage:Stage IV, dead, 734 days	4424.4
TCGA-4Z-AA86-01A	66 years, male, black or african american, stage:Stage IV, dead, 311 days	4389.4
TCGA-XF-AAMT-01A	75 years, female, white, stage:Stage IV, dead, 90 days	4379.7
TCGA-XF-A8HG-01A	69 years, male, white, stage:Stage III, dead, 467 days	4298.2
TCGA-FD-A3SL-01A	60 years, male, white, stage:Stage IV, dead, 712 days	4273.3
TCGA-BT-A3PK-01A	80 years, male, white, stage:Stage II, dead, 303 days	4268.9
TCGA-DK-AA75-01A	82 years, male, white, stage:Stage III, dead, 340 days	4231.0
TCGA-ZF-A9RD-01A	75 years, female, white, stage:Stage IV, dead, 408 days	4150.2
TCGA-BT-A2LB-01A	73 years, female, white, stage:Stage III, dead, 492 days	4119.2
TCGA-FD-A6TI-01A	73 years, male, white, stage:Stage IV, dead, 294 days	4035.1
TCGA-XF-A9SW-01A	85 years, male, white, stage:Stage IV, dead, 362 days	3900.5
TCGA-FD-A6TF-01A	80 years, female, white, stage:Stage IV, dead, 69 days	3775.6
TCGA-UY-A78N-01A	80 years, male, white, stage:Stage IV, dead, 2641 days	3730.2
TCGA-XF-AAN7-01A	60 years, male, white, stage:Stage IV, dead, 565 days	3727.6
TCGA-GV-A3QH-01A	67 years, male, white, stage:Stage II, dead, 258 days	3692.7
TCGA-XF-A9SX-01A	63 years, female, white, stage:Stage IV, dead, 719 days	3667.1
TCGA-4Z-AA82-01A	59 years, male, black or african american, stage:Stage IV, dead, 1556 days	3624.7
TCGA-DK-AA6W-01A	78 years, male, white, stage:Stage II, dead, 415 days	3613.1
TCGA-ZF-A9RN-01A	67 years, female, white, stage:Stage III, dead, 615 days	3597.0
TCGA-XF-AAMJ-01A	70 years, male, asian, stage:Stage III, dead, 1670 days	3566.8
TCGA-HQ-A5ND-01A	78 years, male, stage:Stage IV, dead, 274 days	3518.6
TCGA-XF-AAN2-01A	73 years, male, white, stage:Stage II, dead, 1869 days	3480.1
TCGA-4Z-AA7R-01A	73 years, male, black or african american, stage:Stage IV, dead, 522 days	3442.0
TCGA-FD-A62O-01A	74 years, male, white, stage:Stage IV, dead, 216 days	3434.2
TCGA-DK-A1A5-01A	79 years, male, white, stage:Stage II, dead, 65 days	3397.4
TCGA-G2-A2EC-01A	58 years, female, black or african american, stage:Stage II, dead, 696 days	3350.0
TCGA-UY-A78K-01A	60 years, male, white, stage:Stage IV, dead, 536 days	3296.6
TCGA-4Z-AA80-01A	73 years, male, white, stage:Stage II, dead, 19 days	3242.9
TCGA-E7-A3X6-01A	70 years, male, white, stage:Stage II, dead, 904 days	3203.2
TCGA-FD-A3B5-01A	86 years, male, black or african american, stage:Stage IV, dead, 272 days	3169.2
TCGA-BT-A20N-01A	72 years, male, stage:Stage III, dead, 795 days	3132.9
TCGA-DK-A2I2-01A	63 years, female, white, stage:Stage IV, dead, 237 days	3126.8
TCGA-XF-A8HH-01A	61 years, female, white, stage:Stage IV, dead, 57 days	3111.2
TCGA-XF-A9SL-01A	69 years, male, white, stage:Stage IV, dead, 2020 days	3100.3
TCGA-BL-A13J-01A	65 years, male, white, stage:Stage IV, dead, 81 days	3014.4
TCGA-DK-A3IN-01A	72 years, male, white, stage:Stage III, dead, 250 days	2992.4
TCGA-UY-A78M-01A	81 years, female, asian, stage:Stage IV, dead, 690 days	2983.3
TCGA-XF-A9SH-01A	65 years, female, asian, stage:Stage II, dead, 1971 days	2969.2
TCGA-E5-A4TZ-01A	64 years, male, white, stage:Stage IV, dead, 467 days	2960.1
TCGA-XF-AAMX-01A	87 years, female, black or african american, stage:Stage III, dead, 206 days	2956.4
TCGA-ZF-AA4T-01A	65 years, male, white, stage:Stage IV, dead, 599 days	2933.4
TCGA-XF-AAMW-01A	79 years, female, white, stage:Stage IV, dead, 253 days	2861.2
TCGA-FD-A62S-01A	60 years, female, black or african american, stage:Stage III, dead, 406 days	2856.8
TCGA-XF-A9SJ-01A	83 years, male, white, stage:Stage IV, dead, 98 days	2846.2
TCGA-DK-A3IK-01A	87 years, male, white, stage:Stage IV, dead, 146 days	2834.2
TCGA-XF-A9SV-01A	82 years, male, white, stage:Stage IV, dead, 388 days	2770.6
TCGA-XF-AAN1-01A	75 years, female, stage:Stage III, dead, 941 days	2757.8
TCGA-XF-AAML-01A	75 years, male, white, stage:Stage II, dead, 232 days	2754.8
TCGA-XF-A9SU-01A	74 years, female, white, stage:Stage IV, dead, 182 days	2729.4
TCGA-BT-A0S7-01A	75 years, male, white, stage:Stage III, dead, 200 days	2713.6
TCGA-XF-A9T8-01A	64 years, male, white, stage:Stage III, dead, 418 days	2678.9
TCGA-BL-A3JM-01A	62 years, male, white, stage:Stage III, dead, 205 days	2640.7
TCGA-GU-A42R-01A	68 years, male, white, stage:Stage IV, dead, 577 days	2620.3
TCGA-E7-A97P-01A	73 years, male, asian, stage:Stage II, dead, 437 days	2605.9
TCGA-G2-A2EL-01A	77 years, male, white, stage:Stage II, dead, 819 days	2578.1
TCGA-XF-AAMH-01A	80 years, male, white, stage:Stage IV, dead, 344 days	2545.4
TCGA-FD-A3N5-01A	69 years, male, black or african american, stage:Stage II, dead, 685 days	2525.1
TCGA-FD-A3SO-01A	68 years, male, white, stage:Stage IV, dead, 168 days	2502.5
TCGA-ZF-AA5N-01A	62 years, female, white, stage:Stage IV, dead, 168 days	2486.3
TCGA-FD-A3SR-01A	68 years, male, white, stage:Stage IV, dead, 602 days	2456.9
TCGA-XF-A9T2-01A	54 years, male, white, stage:Stage III, dead, 575 days	2422.3
TCGA-FJ-A3ZE-01A	65 years, male, white, stage:Stage IV, dead, 324 days	2408.1
TCGA-FD-A5BV-01A	47 years, female, white, stage:Stage III, dead, 163 days	2386.1
TCGA-ZF-A9R0-01A	82 years, male, white, stage:Stage III, dead, 680 days	2324.9
TCGA-CU-A0YO-01A	84 years, male, white, stage:Stage IV, dead, 149 days	2317.7
TCGA-SY-A9G0-01A	82 years, male, white, stage:Stage IV, dead, 1008 days	2305.2
TCGA-GU-A767-01A	81 years, male, white, stage:Stage IV, dead, 144 days	2296.3
TCGA-BT-A20V-01A	59 years, female, black or african american, stage:Stage IV, dead, 154 days	2288.2
TCGA-ZF-AA4R-01A	67 years, male, white, stage:Stage IV, dead, 1036 days	2280.5
TCGA-2F-A9KP-01A	66 years, male, white, stage:Stage IV, dead, 364 days	2257.4
TCGA-BT-A20W-01A	71 years, male, white, stage:Stage II, dead, 254 days	2253.3
TCGA-GC-A3BM-01A	70 years, male, white, stage:Stage II, dead, 651 days	2222.2
TCGA-BT-A20X-01A	56 years, male, white, stage:Stage IV, dead, 251 days	2166.5
TCGA-HQ-A5NE-01A	57 years, male, stage:Stage III, dead, 370 days	2164.4
TCGA-DK-A3X2-01A	85 years, male, white, stage:Stage IV, dead, 547 days	2137.1
TCGA-FD-A3B4-01A	55 years, female, black or african american, stage:Stage III, dead, 510 days	2127.6
TCGA-ZF-A9RE-01A	78 years, female, white, stage:Stage II, dead, 106 days	2069.4
TCGA-CF-A9FL-01A	85 years, male, asian, stage:Stage III, dead, 565 days	2013.6
TCGA-ZF-A9R9-01A	58 years, male, white, stage:Stage IV, dead, 864 days	1999.6
TCGA-GV-A40E-01A	75 years, male, white, stage:Stage II, dead, 261 days	1964.4
TCGA-ZF-AA4U-01A	70 years, male, white, stage:Stage III, dead, 262 days	1954.8
TCGA-DK-A2HX-01A	80 years, female, white, stage:Stage IV, dead, 1420 days	1912.3
TCGA-DK-A3IL-01A	79 years, female, white, stage:Stage IV, dead, 413 days	1856.6
TCGA-XF-A8HI-01A	57 years, female, white, stage:Stage IV, dead, 544 days	1822.5
TCGA-C4-A0EZ-01A	69 years, female, stage:Stage IV, dead, 273 days	1815.6
TCGA-E7-A541-01A	66 years, male, white, stage:Stage II, dead, 778 days	1810.2
TCGA-BT-A20T-01A	63 years, male, white, stage:Stage IV, dead, 453 days	1797.9
TCGA-XF-AAMZ-01A	81 years, female, white, stage:Stage IV, dead, 1348 days	1703.9
TCGA-CU-A0YN-01A	60 years, male, white, stage:Stage III, dead, 393 days	1689.7
TCGA-GU-A42P-01A	72 years, male, white, stage:Stage IV, dead, 332 days	1679.5
TCGA-GV-A3JV-01A	66 years, male, white, stage:Stage IV, dead, 434 days	1662.1
TCGA-2F-A9KR-01A	59 years, female, stage:Stage III, dead, 3183 days	1588.8
TCGA-G2-A2ES-01A	85 years, male, white, stage:Stage II, dead, 1004 days	1548.5
TCGA-GC-A3I6-01A	45 years, male, white, stage:Stage III, dead, 630 days	1429.1
TCGA-E7-A4XJ-01A	66 years, male, asian, stage:Stage II, dead, 68 days	1324.9
TCGA-4Z-AA81-01A	80 years, male, white, stage:Stage II, dead, 1270 days	1289.7
TCGA-DK-A3IM-01A	76 years, male, white, stage:Stage III, dead, 248 days	1280.3
TCGA-CF-A47T-01A	58 years, female, asian, stage:Stage II, dead, 385 days	1162.6
TCGA-FJ-A3Z9-01A	72 years, male, white, stage:'--, dead, 385 days	1061.2
TCGA-C4-A0F7-01A	77 years, male, stage:Stage IV, dead, 62 days	962.6
TCGA-4Z-AA7S-01A	66 years, male, black or african american, stage:Stage III, dead, 1064 days	942.2
TCGA-XF-A9ST-01A	68 years, male, white, stage:Stage III, dead, 128 days	856.4
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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 HPA041602	Antibody CAB020769
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