Expression of MT-CYB in glioma - The Human Protein Atlas

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

MT-CYB is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ :

Best expression cut offⁱ : 2359.05

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

2830.8

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	13183.4
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	10435.9
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	8959.8
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	7892.7
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	7492.2
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	6639.7
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	6541.2
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	5925.1
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	5852.7
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	5642.3
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	5631.7
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	5496.2
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	5152.6
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	4909.5
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	4866.8
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	4812.8
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	4594.6
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	4500.3
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	4483.7
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	4445.2
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	4435.0
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	4390.3
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	4384.1
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	4371.4
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	4325.5
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	4252.6
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	4220.2
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	4218.2
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	4180.0
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	4011.9
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	3982.4
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	3851.0
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	3835.9
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	3806.1
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	3768.9
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	3722.7
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	3667.2
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	3640.2
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	3627.6
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	3583.5
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	3582.9
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	3562.1
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	3484.2
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	3465.7
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	3451.5
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	3401.4
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	3400.5
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	3372.8
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	3344.7
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	3321.3
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	3306.7
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	3273.4
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	3258.5
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	3258.0
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	3204.3
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	3203.5
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	3094.1
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	3075.4
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	3015.1
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	3011.8
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	2999.5
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	2963.2
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	2955.3
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	2938.4
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	2911.7
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	2873.5
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	2803.4
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	2799.2
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	2722.1
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	2704.6
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	2688.5
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	2679.3
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	2650.3
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	2610.1
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	2425.8
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	2379.3
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	2376.2
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	2364.9
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	2353.2
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	2331.0
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	2308.7
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	2297.8
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	2284.9
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	2260.0
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	2220.0
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	2176.6
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	2167.0
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	2157.7
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	2157.5
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	2099.2
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	2080.5
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	2067.3
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	2063.1
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	2014.8
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	1997.1
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	1979.9
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	1927.3
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	1908.5
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	1901.9
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	1885.6
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	1858.7
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	1856.2
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	1831.3
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	1827.4
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	1811.6
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	1772.1
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	1692.7
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	1685.1
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	1682.5
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	1680.8
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	1584.1
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	1561.2
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	1522.1
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	1494.9
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	1476.1
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	1446.7
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	1427.0
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	1425.3
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	1424.8
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	1374.9
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	1367.8
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	1365.2
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	1352.0
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	1339.8
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	1338.9
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	1290.3
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	1261.8
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	1247.8
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	1224.2
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	1203.6
TCGA-14-1034-01A	60 years, female, dead, 485 days	1197.5
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	1189.5
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	1175.1
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	1050.5
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	998.1
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	989.0
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	987.5
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	955.8
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	938.2
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	894.2
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	871.1
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	742.1
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	680.4
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	676.4
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	652.5
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	648.9
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	639.7
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	618.9
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	605.1
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	586.2
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	454.2
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	430.4
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	413.1
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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, 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. Read more	Antibody HPA068400	Antibody CAB032215
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