Expression of TMSB4X in glioma - The Human Protein Atlas

We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.

Search result

Field

Pathway

HELP

NEWS

TMSB4X

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

TMSB4X is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 1976.63
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

1594.2

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	6327.7
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	4839.4
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	4763.2
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	4057.9
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	3997.4
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	3874.2
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	3707.7
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	3691.6
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	3525.8
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	3041.9
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	2916.9
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	2883.9
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	2836.0
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	2824.4
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	2653.8
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	2602.0
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	2601.4
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	2500.3
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	2446.4
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	2398.4
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	2383.9
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	2359.7
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	2317.1
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	2238.2
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	2194.4
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	2081.0
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	2055.9
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	2052.3
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	2019.7
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	2010.5
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	2008.9
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	1984.9
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	1968.4
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	1929.0
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	1914.9
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	1903.1
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	1882.5
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	1858.2
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	1837.4
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	1837.1
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	1815.0
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	1814.3
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	1812.2
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	1686.7
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	1647.7
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	1614.1
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	1604.9
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	1601.9
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	1594.5
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	1585.0
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	1574.7
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	1557.3
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	1552.7
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	1550.4
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	1538.6
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	1510.4
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	1507.0
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	1489.9
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	1475.2
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	1466.0
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	1465.9
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	1462.5
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	1454.3
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	1454.1
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	1431.9
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	1426.5
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	1414.7
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	1407.8
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	1406.0
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	1398.3
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	1390.4
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	1382.6
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	1376.4
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	1368.8
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	1364.9
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	1357.5
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	1355.9
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	1339.7
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	1336.4
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	1334.9
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	1334.3
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	1320.0
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	1313.3
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	1310.6
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	1299.9
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	1297.2
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	1293.5
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	1278.0
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	1273.7
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	1267.5
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	1259.6
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	1256.9
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	1251.1
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	1250.3
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	1238.2
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	1234.1
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	1218.4
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	1208.4
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	1201.5
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	1182.1
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	1178.1
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	1167.0
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	1166.9
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	1165.4
TCGA-14-1034-01A	60 years, female, dead, 485 days	1153.5
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	1141.4
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	1140.2
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	1130.8
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	1129.6
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	1128.8
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	1126.7
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	1115.0
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	1108.0
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	1099.5
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	1083.6
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	1078.0
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	1076.3
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	1068.8
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	1067.3
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	1063.0
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	1045.2
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	1019.6
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	1004.9
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	993.5
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	990.1
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	974.9
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	961.1
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	947.1
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	942.2
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	889.1
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	877.4
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	874.5
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	870.6
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	864.7
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	864.7
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	855.7
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	844.8
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	844.7
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	835.8
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	831.2
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	796.7
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	795.0
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	769.4
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	766.5
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	746.1
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	740.1
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	735.4
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	704.1
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	703.7
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	586.2
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	547.2
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	489.0
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	277.4
Show allShow less

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 CAB033806
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.