Expression of FTL in glioma - The Human Protein Atlas

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FTL

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GLIOMA - 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 glioma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 2342.66
Median expressionⁱ: N/A
Median follow up timeⁱ: N/A
P scoreⁱ N/A
3-year survival highⁱ N/A
3-year survival lowⁱ N/A

TCGA RNA samplesⁱ

Average FPKM

4015.5

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	21576.3
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	13780.4
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	11520.5
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	11381.6
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	11106.8
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	9340.7
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	8910.3
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	8799.7
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	8746.8
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	8256.9
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	8138.9
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	8008.0
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	7950.6
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	7688.0
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	7231.1
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	6810.0
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	6704.2
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	6660.9
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	6440.8
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	6285.9
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	6167.8
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	6138.8
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	6066.2
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	6048.6
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	5998.5
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	5993.6
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	5989.4
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	5596.1
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	5517.5
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	5477.1
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	5461.9
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	5395.4
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	5340.4
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	5184.3
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	5099.2
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	5098.6
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	5082.1
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	5019.2
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	4950.5
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	4884.0
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	4840.0
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	4829.2
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	4758.5
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	4731.1
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	4573.5
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	4541.3
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	4456.1
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	4434.0
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	4433.9
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	4433.7
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	4423.8
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	4356.0
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	4334.4
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	4288.0
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	4222.9
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	4111.2
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	4094.5
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	4065.4
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	4014.5
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	4000.6
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	3995.4
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	3936.7
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	3857.1
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	3778.0
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	3698.8
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	3662.8
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	3641.1
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	3568.5
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	3564.7
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	3511.7
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	3486.5
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	3481.8
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	3435.2
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	3429.1
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	3426.8
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	3422.4
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	3404.3
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	3381.7
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	3367.0
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	3332.8
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	3314.3
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	3306.7
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	3247.2
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	3211.5
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	3207.8
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	3192.4
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	3160.3
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	3128.2
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	3085.3
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	2996.4
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	2971.1
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	2968.8
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	2954.8
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	2898.2
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	2793.7
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	2792.9
TCGA-14-1034-01A	60 years, female, dead, 485 days	2754.0
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	2749.7
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	2705.5
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	2697.5
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	2682.3
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	2680.1
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	2606.4
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	2562.5
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	2525.4
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	2498.4
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	2474.0
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	2453.7
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	2428.1
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	2413.5
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	2376.7
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	2308.6
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	2285.8
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	2283.5
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	2279.0
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	2265.4
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	2229.7
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	2192.3
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	2143.9
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	2116.9
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	2116.1
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	2098.1
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	2038.4
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	2037.5
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	2002.9
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	1998.4
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	1973.5
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	1912.3
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	1844.4
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	1839.0
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	1746.4
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	1663.6
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	1652.9
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	1575.8
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	1563.9
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	1563.7
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	1530.1
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	1526.1
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	1479.5
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	1461.7
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	1448.4
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	1412.2
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	1393.3
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	1364.4
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	1332.6
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	1217.8
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	1203.6
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	1195.1
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	1169.9
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	1105.5
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	1006.5
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	912.6
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	883.9
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GLIOMA - 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. This score is based on the staining intensity and fraction of stained cells. Read more	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
Click images for details

Contact

contact@proteinatlas.org

The Project

The Human Protein Atlas

The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.