Expression of MT-CO2 in testis cancer - 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

MT-CO2

SUMMARY

TISSUE

CELL TYPE

PATHOLOGY

BRAIN

BLOOD

CELL

TESTIS CANCER - 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-CO2 is not prognostic in testis cancer

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 7479.73
Median expressionⁱ: N/A
Median follow up timeⁱ: N/A
P scoreⁱ N/A
5-year survival highⁱ N/A
5-year survival lowⁱ N/A

TCGA RNA samplesⁱ

Average FPKM

9084.8

Number of samples

134

Samples

Sample	Description	FPKM
TCGA-XE-AAOL-01A	38 years, male, black or african american, stage:i, alive, 13 days	62541.9
TCGA-ZM-AA05-01A	36 years, male, white, stage:iic, alive, 1126 days	61265.5
TCGA-ZM-AA06-01A	45 years, male, white, stage:ib, alive, 1498 days	43975.2
TCGA-ZM-AA0N-01A	44 years, male, white, stage:ib, alive, 634 days	42455.3
TCGA-ZM-AA0E-01A	39 years, male, white, stage:ia, alive, 811 days	41070.6
TCGA-ZM-AA0H-01A	50 years, male, white, stage:is, alive, 1736 days	39234.2
TCGA-ZM-AA0F-01A	35 years, male, white, stage:ia, alive, 681 days	38131.5
TCGA-XE-AAO6-01A	47 years, male, white, stage:ia, alive, 240 days	27907.1
TCGA-ZM-AA0B-01A	32 years, male, white, stage:ia, alive, 838 days	20339.7
TCGA-2G-AAKD-01A	18 years, male, white, stage:iii, alive, 6340 days	19076.4
TCGA-XE-AAO4-01A	40 years, male, white, stage:ia, alive, 367 days	18628.9
TCGA-2G-AAFM-01A	31 years, male, white, stage:iia, alive, 503 days	16527.5
TCGA-2G-AAGG-01A	20 years, male, white, stage:iiic, alive, 2611 days	15088.1
TCGA-2G-AAFL-01A	35 years, male, white, stage:ib, alive, 750 days	13406.7
TCGA-2G-AAG0-01A	23 years, male, white, stage:is, alive, 1529 days	12862.4
TCGA-2G-AAL7-01A	32 years, male, white, stage:is, alive, 3991 days	12757.1
TCGA-2G-AAKL-01A	26 years, male, white, stage:ii, alive, 7023 days	12245.4
TCGA-ZM-AA0D-01A	34 years, male, white, stage:ia, alive, 848 days	12206.9
TCGA-2G-AAGE-01A	21 years, male, white, stage:is, alive, 2478 days	12168.9
TCGA-2G-AAKM-01A	14 years, male, white, stage:ii, dead, 6972 days	12166.1
TCGA-2G-AAGA-01A	38 years, male, white, stage:iia, alive, 2439 days	12046.4
TCGA-2G-AAG8-01A	21 years, male, white, stage:ib, alive, 2289 days	11967.8
TCGA-2G-AAFN-01A	26 years, male, white, stage:iiib, alive, 773 days	11700.6
TCGA-2G-AAGF-01A	28 years, male, white, stage:is, alive, 2734 days	11411.5
TCGA-YU-A90Y-01A	23 years, male, black or african american, stage:iiic, dead, 17 days	10864.5
TCGA-YU-A94I-01A	66 years, male, stage:ia, alive, 536 days	10330.7
TCGA-VF-A8AD-01A	36 years, male, white, stage:ib, alive, 1006 days	10285.6
TCGA-2G-AAGW-01A	38 years, male, white, stage:is, alive, 4899 days	10093.5
TCGA-4K-AAAL-01A	31 years, male, white, stage:is, alive, 483 days	9675.1
TCGA-WZ-A8D5-01A	38 years, male, white, alive, 774 days	9623.2
TCGA-YU-A90S-01A	26 years, male, white, stage:ia, alive, 971 days	9556.6
TCGA-2G-AALP-01A	43 years, male, white, stage:iiib, alive, 2645 days	9511.6
TCGA-VF-A8A8-01A	18 years, male, white, stage:ia, alive, 1131 days	9293.1
TCGA-YU-AA4L-01A	27 years, male, black or african american, stage:iiic, alive, 1573 days	8971.8
TCGA-S6-A8JY-01A	27 years, male, white, stage:is, alive, 278 days	8951.1
TCGA-2G-AAKG-01A	22 years, male, white, stage:i, alive, 6598 days	8832.1
TCGA-4K-AA1I-01A	26 years, male, white, stage:ia, alive, 3 days	8693.6
TCGA-WZ-A7V4-01A	28 years, male, white, stage:i, alive, 894 days	8663.4
TCGA-2G-AAGO-01A	41 years, male, white, stage:is, alive, 4026 days	8555.1
TCGA-2G-AAG6-01A	24 years, male, white, stage:is, alive, 2231 days	8532.8
TCGA-VF-A8AE-01A	39 years, male, white, stage:ia, alive, 727 days	8522.3
TCGA-VF-A8A9-01A	31 years, male, white, stage:ia, alive, 1119 days	8388.3
TCGA-2G-AAFY-01A	24 years, male, white, stage:iia, alive, 1099 days	8347.9
TCGA-2G-AAGZ-01A	27 years, male, white, stage:iiia, alive, 5233 days	8098.6
TCGA-2G-AAGN-01A	41 years, male, white, stage:iiib, alive, 3656 days	7978.1
TCGA-YU-A90P-01A	25 years, male, white, stage:ia, alive, 2069 days	7944.0
TCGA-2G-AAGV-01A	23 years, male, white, alive, 4527 days	7915.4
TCGA-2G-AAFO-01A	33 years, male, white, stage:iia, alive, 685 days	7914.1
TCGA-W4-A7U4-01A	23 years, male, white, alive, 738 days	7879.3
TCGA-XY-A89B-01A	35 years, male, white, stage:ia, alive, 471 days	7819.0
TCGA-YU-A90W-01A	45 years, male, white, stage:ia, alive, 1113 days	7662.3
TCGA-XE-AAOB-01A	27 years, male, white, stage:is, dead, 513 days	7532.5
TCGA-2G-AAG7-01A	33 years, male, white, stage:is, alive, 2475 days	7427.0
TCGA-S6-A8JX-01A	27 years, male, white, stage:ib, alive, 552 days	7421.2
TCGA-2G-AAGJ-01A	28 years, male, black or african american, stage:ia, alive, 2938 days	7315.0
TCGA-2G-AAFE-01A	37 years, male, white, stage:iia, alive, 4702 days	7301.5
TCGA-2G-AAFH-01A	38 years, male, white, stage:iib, alive, 1375 days	7276.4
TCGA-XE-A8H1-01A	24 years, male, white, stage:is, alive, 209 days	7263.4
TCGA-2G-AAKH-01A	19 years, male, white, stage:ii, alive, 6862 days	7197.7
TCGA-2G-AAG9-01A	25 years, male, white, stage:iiib, alive, 2234 days	7034.6
TCGA-2G-AAH0-01A	30 years, male, white, stage:is, alive, 5477 days	6875.5
TCGA-VF-A8AA-01A	51 years, male, white, stage:i, alive, 1146 days	6850.1
TCGA-XE-AAOD-01A	39 years, male, white, stage:ib, alive, 2058 days	6837.5
TCGA-XE-A8H4-01A	23 years, male, white, stage:ia, alive, 559 days	6644.7
TCGA-2G-AAGP-01A	33 years, male, white, stage:iia, alive, 4018 days	6606.4
TCGA-2G-AAFG-01A	30 years, male, white, stage:is, alive, 6183 days	6600.7
TCGA-2G-AAH2-01A	20 years, male, white, stage:is, alive, 6060 days	6463.3
TCGA-2G-AAG3-01A	53 years, male, white, stage:is, alive, 1593 days	6278.0
TCGA-XY-A8S3-01B	24 years, male, white, stage:is, alive, 843 days	6231.0
TCGA-X3-A8G4-01A	33 years, male, white, stage:is, alive, 856 days	6142.3
TCGA-WZ-A7V3-01A	20 years, male, white, stage:i, alive, 753 days	6055.5
TCGA-2G-AAG5-01A	36 years, male, white, stage:is, alive, 2299 days	5940.1
TCGA-2G-AAFI-01A	41 years, male, white, stage:ib, alive, 675 days	5885.9
TCGA-SN-A84W-01A	30 years, male, white, stage:is, alive, 293 days	5817.5
TCGA-XE-AANR-01A	24 years, male, white, stage:i, alive, 14 days	5596.4
TCGA-XE-AAOJ-01A	24 years, male, white, stage:is, alive, 1550 days	5582.5
TCGA-XE-AAOC-01A	31 years, male, white, stage:ia, alive, 270 days	5367.3
TCGA-4K-AA1H-01A	26 years, male, white, stage:ia, alive, 518 days	5328.3
TCGA-2G-AAFJ-01A	23 years, male, asian, alive, 792 days	5306.6
TCGA-SN-A84Y-01A	18 years, male, white, stage:is, alive, 524 days	5298.3
TCGA-XY-A8S2-01A	67 years, male, white, stage:i, alive, 672 days	5277.4
TCGA-2G-AAGC-01A	28 years, male, white, stage:is, alive, 2585 days	5267.5
TCGA-VF-A8AB-01A	31 years, male, black or african american, stage:ia, alive, 760 days	5236.2
TCGA-XE-AANJ-01A	39 years, male, white, stage:is, alive, 2007 days	5215.5
TCGA-2G-AAH4-01A	34 years, male, white, stage:ii, alive, 6210 days	5200.8
TCGA-YU-AA61-01A	29 years, male, white, stage:is, alive, 864 days	5154.8
TCGA-YU-A912-01A	34 years, male, black or african american, stage:iiic, alive, 866 days	5121.5
TCGA-2G-AAGM-01A	51 years, male, white, stage:is, alive, 3891 days	4934.1
TCGA-2G-AAGI-01A	33 years, male, white, stage:is, alive, 3137 days	4895.9
TCGA-2G-AAFV-01A	31 years, male, white, stage:is, alive, 1389 days	4882.7
TCGA-WZ-A7V5-01A	27 years, male, white, stage:i, alive, 1061 days	4832.9
TCGA-2G-AAGT-01A	30 years, male, white, stage:is, alive, 4406 days	4820.2
TCGA-SN-A6IS-01A	26 years, male, white, stage:is, alive, 496 days	4805.5
TCGA-2G-AAHG-01A	25 years, male, white, stage:i, alive, 1819 days	4782.3
TCGA-2G-AAF8-01A	33 years, male, white, stage:ia, alive, 3911 days	4779.8
TCGA-2G-AAEX-01A	38 years, male, white, stage:is, alive, 1259 days	4763.4
TCGA-2G-AAGS-01A	39 years, male, white, stage:iiib, alive, 4816 days	4473.2
TCGA-2G-AAHL-01A	26 years, male, white, stage:i, alive, 7081 days	4421.2
TCGA-SN-A84X-01A	21 years, male, white, stage:is, alive, 312 days	4361.3
TCGA-2G-AAGY-01A	28 years, male, white, stage:is, alive, 5329 days	4307.0
TCGA-XE-AANI-01A	37 years, male, white, stage:is, alive, 1041 days	4144.5
TCGA-2G-AAHC-01A	33 years, male, white, stage:is, alive, 5539 days	4102.6
TCGA-2G-AAGK-01A	20 years, male, white, stage:is, alive, 3621 days	4082.9
TCGA-SB-A76C-01A	38 years, male, white, alive, 42 days	4067.7
TCGA-2G-AAFZ-01A	32 years, male, white, stage:iii, alive, 1353 days	4048.8
TCGA-SB-A6J6-01A	22 years, male, white, stage:ia, alive, 413 days	3979.7
TCGA-XE-AANV-01A	52 years, male, stage:ib, alive, 1701 days	3913.4
TCGA-XE-A8H5-01A	29 years, male, stage:is, alive, 1217 days	3901.0
TCGA-YU-A94D-01A	28 years, male, stage:iiib, alive, 2167 days	3885.3
TCGA-VF-A8AC-01A	29 years, male, white, stage:ia, alive, 1083 days	3849.1
TCGA-2X-A9D5-01A	49 years, male, white, stage:i, alive, 435 days	3838.1
TCGA-2G-AAF4-01A	30 years, male, white, stage:i, alive, 2315 days	3806.2
TCGA-S6-A8JW-01A	37 years, male, white, stage:is, alive, 698 days	3796.9
TCGA-2G-AAGX-01A	22 years, male, white, stage:ia, alive, 5514 days	3773.1
TCGA-2G-AAHN-01A	32 years, male, white, stage:i, alive, 6445 days	3703.3
TCGA-2G-AAHA-01A	48 years, male, white, stage:ib, alive, 3349 days	3653.4
TCGA-2G-AAH8-01A	45 years, male, white, stage:iiic, alive, 2248 days	3611.0
TCGA-YU-A90Q-01A	21 years, male, stage:ib, alive, 1964 days	3488.5
TCGA-W4-A7U3-01A	26 years, male, white, alive, 149 days	3465.2
TCGA-2G-AAH3-01A	20 years, male, white, stage:i, alive, 1822 days	3399.7
TCGA-2X-A9D6-01A	42 years, male, white, stage:i, alive, 607 days	3396.4
TCGA-W4-A7U2-01A	26 years, male, white, alive, 1263 days	3380.6
TCGA-XE-AAO3-01A	33 years, male, asian, stage:i, alive, 2857 days	3344.6
TCGA-XY-A9T9-01A	37 years, male, white, stage:is, alive, 281 days	3156.9
TCGA-2G-AAF6-01A	28 years, male, white, stage:is, alive, 3491 days	2902.8
TCGA-XE-A9SE-01A	35 years, male, white, stage:ia, alive, 708 days	2740.9
TCGA-2G-AAHT-01A	32 years, male, white, stage:is, alive, 542 days	2630.1
TCGA-XE-AAOF-01A	50 years, male, asian, stage:ia, alive, 1268 days	2454.7
TCGA-4K-AA1G-01A	34 years, male, white, stage:is, alive, 436 days	2347.6
TCGA-2G-AAL5-01A	31 years, male, white, stage:i, alive, 7437 days	2336.4
TCGA-SO-A8JP-01A	29 years, male, white, stage:i, alive, 540 days	2158.6
TCGA-2G-AAEW-01A	31 years, male, white, stage:is, dead, 618 days	2063.9
TCGA-2G-AAF1-01A	28 years, male, asian, stage:is, alive, 1403 days	1459.9
TCGA-2G-AAHP-01A	31 years, male, white, stage:is, alive, 5667 days	1396.7
Show allShow less

TESTIS CANCER - 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 HPA051505	Antibody HPA054758	Antibody CAB016243
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.