Expression of EEF1A1 in glioma - The Human Protein Atlas

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EEF1A1

SUMMARY

TISSUE

CELL TYPE

PATHOLOGY

BRAIN

BLOOD

CELL

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

EEF1A1 is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 747.42
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

1030.0

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	2821.7
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	2655.6
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	2422.5
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	2128.4
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	2062.4
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	1993.4
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	1945.1
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	1926.0
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	1812.6
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	1744.7
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	1744.7
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	1698.9
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	1627.7
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	1616.1
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	1610.0
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	1595.5
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	1587.4
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	1570.9
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	1569.4
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	1538.7
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	1535.8
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	1513.4
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	1451.8
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	1440.5
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	1425.4
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	1402.8
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	1395.6
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	1376.5
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	1370.7
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	1362.7
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	1348.2
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	1329.6
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	1310.1
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	1294.5
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	1291.6
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	1278.7
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	1238.3
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	1230.8
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	1209.5
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	1180.7
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	1171.1
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	1149.7
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	1148.9
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	1140.3
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	1139.2
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	1134.5
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	1127.8
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	1124.8
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	1121.7
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	1119.8
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	1114.0
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	1105.4
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	1105.3
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	1080.0
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	1071.6
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	1059.1
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	1056.5
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	1054.3
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	1053.7
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	1053.4
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	1043.0
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	1036.8
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	1036.0
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	1032.6
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	1031.1
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	1029.0
TCGA-14-1034-01A	60 years, female, dead, 485 days	1010.4
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	1006.2
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	1000.7
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	1000.3
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	991.7
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	989.1
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	987.5
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	968.4
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	946.1
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	945.9
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	928.2
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	927.9
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	923.3
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	899.5
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	896.3
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	890.3
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	890.2
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	858.2
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	857.5
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	856.8
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	839.9
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	831.5
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	830.9
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	823.5
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	822.5
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	814.6
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	812.8
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	809.5
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	806.6
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	803.7
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	803.3
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	794.6
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	791.5
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	788.1
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	785.5
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	770.5
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	768.4
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	766.6
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	765.2
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	764.2
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	762.4
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	759.2
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	758.8
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	751.9
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	748.5
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	746.3
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	739.8
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	732.7
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	730.0
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	723.1
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	717.6
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	715.3
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	707.2
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	701.4
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	701.2
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	700.2
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	693.1
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	689.2
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	687.7
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	683.4
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	683.3
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	683.0
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	682.0
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	681.7
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	655.3
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	643.7
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	642.7
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	639.8
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	614.6
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	608.2
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	604.4
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	590.3
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	584.0
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	580.0
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	577.5
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	576.1
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	540.8
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	537.6
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	536.5
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	534.8
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	511.9
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	505.1
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	485.5
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	476.6
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	432.9
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	414.0
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	360.5
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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 HPA051759	Antibody HPA056990
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.