Expression of CLU in glioma - The Human Protein Atlas

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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

CLU is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 1029.74
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

1485.6

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	6550.4
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	6448.8
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	5283.5
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	3859.9
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	3784.0
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	3273.6
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	3189.5
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	3022.8
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	2969.2
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	2947.2
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	2871.7
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	2757.8
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	2611.4
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	2580.9
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	2580.6
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	2571.9
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	2513.6
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	2460.8
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	2439.5
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	2378.5
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	2356.6
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	2320.1
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	2297.9
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	2227.9
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	2223.6
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	2133.4
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	2127.8
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	2109.3
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	2108.1
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	2092.8
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	2038.6
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	2032.3
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	2025.1
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	2013.1
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	1901.9
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	1897.0
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	1888.0
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	1880.0
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	1876.7
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	1873.6
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	1861.9
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	1859.0
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	1794.4
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	1774.7
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	1742.2
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	1741.8
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	1718.1
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	1711.2
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	1698.2
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	1693.5
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	1663.6
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	1649.7
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	1631.0
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	1608.8
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	1583.9
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	1570.6
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	1565.6
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	1550.4
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	1548.4
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	1536.4
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	1523.5
TCGA-14-1034-01A	60 years, female, dead, 485 days	1522.9
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	1522.4
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	1487.0
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	1480.7
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	1470.5
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	1467.8
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	1464.5
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	1435.4
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	1412.2
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	1354.4
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	1330.7
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	1314.5
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	1305.6
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	1279.1
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	1240.0
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	1230.4
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	1230.1
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	1226.8
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	1218.9
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	1214.7
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	1198.4
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	1190.8
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	1187.7
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	1172.5
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	1122.0
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	1117.8
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	1094.5
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	1085.3
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	1071.1
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	1064.8
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	1059.4
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	1056.4
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	1049.6
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	1038.3
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	1035.1
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	1024.4
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	1019.2
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	1019.0
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	1011.2
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	1003.0
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	996.0
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	993.7
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	993.0
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	973.1
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	948.2
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	940.2
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	923.4
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	889.6
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	887.6
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	885.7
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	880.6
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	879.8
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	871.6
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	862.2
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	855.8
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	851.8
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	849.9
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	846.1
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	846.1
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	809.2
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	775.1
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	768.9
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	747.0
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	733.2
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	717.0
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	705.5
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	691.2
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	690.2
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	677.8
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	661.9
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	647.8
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	646.4
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	638.1
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	636.4
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	632.7
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	621.1
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	614.1
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	604.3
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	594.4
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	570.6
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	541.5
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	519.9
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	458.8
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	454.5
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	322.1
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	295.4
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	272.4
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	209.2
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	172.4
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	148.6
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	132.0
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	43.1
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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 HPA000572	Antibody CAB016253
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.