Expression of IGFBP3 in testis cancer - The Human Protein Atlas

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

IGFBP3 is not prognostic in testis cancer

Stage:

Survival analysis

Current cut offⁱ :

Best expression cut offⁱ : 37.93

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

28.3

Number of samples

134

Samples

Sample	Description	FPKM
TCGA-2G-AAGV-01A	23 years, male, white, alive, 4527 days	404.3
TCGA-2G-AAGI-01A	33 years, male, white, stage:is, alive, 3137 days	198.1
TCGA-XE-AAOJ-01A	24 years, male, white, stage:is, alive, 1550 days	162.7
TCGA-X3-A8G4-01A	33 years, male, white, stage:is, alive, 856 days	134.8
TCGA-2G-AAGP-01A	33 years, male, white, stage:iia, alive, 4018 days	104.5
TCGA-2G-AAH4-01A	34 years, male, white, stage:ii, alive, 6210 days	104.2
TCGA-YU-AA61-01A	29 years, male, white, stage:is, alive, 864 days	97.3
TCGA-2G-AAFJ-01A	23 years, male, asian, alive, 792 days	89.2
TCGA-2G-AAGX-01A	22 years, male, white, stage:ia, alive, 5514 days	88.7
TCGA-2G-AAG6-01A	24 years, male, white, stage:is, alive, 2231 days	86.1
TCGA-2G-AAGG-01A	20 years, male, white, stage:iiic, alive, 2611 days	76.0
TCGA-SN-A84X-01A	21 years, male, white, stage:is, alive, 312 days	70.9
TCGA-2G-AAG5-01A	36 years, male, white, stage:is, alive, 2299 days	70.2
TCGA-2G-AAH2-01A	20 years, male, white, stage:is, alive, 6060 days	69.9
TCGA-W4-A7U3-01A	26 years, male, white, alive, 149 days	69.0
TCGA-2G-AAFZ-01A	32 years, male, white, stage:iii, alive, 1353 days	67.9
TCGA-YU-A94I-01A	66 years, male, stage:ia, alive, 536 days	67.4
TCGA-2G-AAFV-01A	31 years, male, white, stage:is, alive, 1389 days	60.2
TCGA-SN-A84W-01A	30 years, male, white, stage:is, alive, 293 days	51.4
TCGA-2G-AAGM-01A	51 years, male, white, stage:is, alive, 3891 days	49.6
TCGA-2G-AAGS-01A	39 years, male, white, stage:iiib, alive, 4816 days	47.7
TCGA-YU-AA4L-01A	27 years, male, black or african american, stage:iiic, alive, 1573 days	47.5
TCGA-2G-AAGF-01A	28 years, male, white, stage:is, alive, 2734 days	46.0
TCGA-XE-AAOB-01A	27 years, male, white, stage:is, dead, 513 days	45.8
TCGA-2G-AAGY-01A	28 years, male, white, stage:is, alive, 5329 days	40.7
TCGA-YU-A90Y-01A	23 years, male, black or african american, stage:iiic, dead, 17 days	39.9
TCGA-2G-AAFM-01A	31 years, male, white, stage:iia, alive, 503 days	38.2
TCGA-XE-AANI-01A	37 years, male, white, stage:is, alive, 1041 days	37.6
TCGA-2G-AAFY-01A	24 years, male, white, stage:iia, alive, 1099 days	37.3
TCGA-2G-AAG3-01A	53 years, male, white, stage:is, alive, 1593 days	33.9
TCGA-2G-AAKG-01A	22 years, male, white, stage:i, alive, 6598 days	33.8
TCGA-2G-AAKD-01A	18 years, male, white, stage:iii, alive, 6340 days	33.8
TCGA-2G-AAGZ-01A	27 years, male, white, stage:iiia, alive, 5233 days	33.5
TCGA-2G-AAGE-01A	21 years, male, white, stage:is, alive, 2478 days	33.1
TCGA-2G-AAFI-01A	41 years, male, white, stage:ib, alive, 675 days	33.0
TCGA-XE-AAOC-01A	31 years, male, white, stage:ia, alive, 270 days	32.5
TCGA-YU-A94D-01A	28 years, male, stage:iiib, alive, 2167 days	30.3
TCGA-2G-AAFO-01A	33 years, male, white, stage:iia, alive, 685 days	28.5
TCGA-2G-AAGT-01A	30 years, male, white, stage:is, alive, 4406 days	28.3
TCGA-YU-A90P-01A	25 years, male, white, stage:ia, alive, 2069 days	27.0
TCGA-W4-A7U4-01A	23 years, male, white, alive, 738 days	25.5
TCGA-XY-A8S3-01B	24 years, male, white, stage:is, alive, 843 days	25.5
TCGA-4K-AAAL-01A	31 years, male, white, stage:is, alive, 483 days	24.5
TCGA-XE-A8H1-01A	24 years, male, white, stage:is, alive, 209 days	23.4
TCGA-2G-AAF8-01A	33 years, male, white, stage:ia, alive, 3911 days	23.3
TCGA-2G-AALP-01A	43 years, male, white, stage:iiib, alive, 2645 days	23.2
TCGA-2G-AAG8-01A	21 years, male, white, stage:ib, alive, 2289 days	22.2
TCGA-4K-AA1H-01A	26 years, male, white, stage:ia, alive, 518 days	22.2
TCGA-2G-AAKL-01A	26 years, male, white, stage:ii, alive, 7023 days	21.9
TCGA-2G-AAGK-01A	20 years, male, white, stage:is, alive, 3621 days	21.9
TCGA-2G-AAHP-01A	31 years, male, white, stage:is, alive, 5667 days	21.4
TCGA-2G-AAKH-01A	19 years, male, white, stage:ii, alive, 6862 days	19.7
TCGA-2G-AAGW-01A	38 years, male, white, stage:is, alive, 4899 days	19.5
TCGA-2G-AAFN-01A	26 years, male, white, stage:iiib, alive, 773 days	18.6
TCGA-VF-A8AD-01A	36 years, male, white, stage:ib, alive, 1006 days	18.4
TCGA-2G-AAFL-01A	35 years, male, white, stage:ib, alive, 750 days	18.3
TCGA-2G-AAG7-01A	33 years, male, white, stage:is, alive, 2475 days	18.0
TCGA-2G-AAL5-01A	31 years, male, white, stage:i, alive, 7437 days	18.0
TCGA-XE-A9SE-01A	35 years, male, white, stage:ia, alive, 708 days	17.8
TCGA-2G-AAGJ-01A	28 years, male, black or african american, stage:ia, alive, 2938 days	17.4
TCGA-XE-AAOD-01A	39 years, male, white, stage:ib, alive, 2058 days	17.0
TCGA-2G-AAGC-01A	28 years, male, white, stage:is, alive, 2585 days	16.6
TCGA-VF-A8A8-01A	18 years, male, white, stage:ia, alive, 1131 days	16.2
TCGA-ZM-AA0H-01A	50 years, male, white, stage:is, alive, 1736 days	16.2
TCGA-2G-AAGA-01A	38 years, male, white, stage:iia, alive, 2439 days	15.3
TCGA-2G-AAKM-01A	14 years, male, white, stage:ii, dead, 6972 days	15.1
TCGA-XE-AANR-01A	24 years, male, white, stage:i, alive, 14 days	14.7
TCGA-ZM-AA0F-01A	35 years, male, white, stage:ia, alive, 681 days	13.9
TCGA-2G-AAGN-01A	41 years, male, white, stage:iiib, alive, 3656 days	13.6
TCGA-2G-AAG0-01A	23 years, male, white, stage:is, alive, 1529 days	13.2
TCGA-WZ-A7V5-01A	27 years, male, white, stage:i, alive, 1061 days	13.2
TCGA-SN-A84Y-01A	18 years, male, white, stage:is, alive, 524 days	12.7
TCGA-XY-A8S2-01A	67 years, male, white, stage:i, alive, 672 days	12.3
TCGA-ZM-AA06-01A	45 years, male, white, stage:ib, alive, 1498 days	12.2
TCGA-ZM-AA05-01A	36 years, male, white, stage:iic, alive, 1126 days	11.4
TCGA-2G-AAFH-01A	38 years, male, white, stage:iib, alive, 1375 days	10.8
TCGA-2G-AAH8-01A	45 years, male, white, stage:iiic, alive, 2248 days	10.5
TCGA-4K-AA1I-01A	26 years, male, white, stage:ia, alive, 3 days	9.9
TCGA-2G-AAEX-01A	38 years, male, white, stage:is, alive, 1259 days	9.7
TCGA-2X-A9D6-01A	42 years, male, white, stage:i, alive, 607 days	9.5
TCGA-XE-AAO3-01A	33 years, male, asian, stage:i, alive, 2857 days	9.2
TCGA-VF-A8AC-01A	29 years, male, white, stage:ia, alive, 1083 days	8.9
TCGA-2G-AAGO-01A	41 years, male, white, stage:is, alive, 4026 days	8.8
TCGA-2G-AAL7-01A	32 years, male, white, stage:is, alive, 3991 days	8.5
TCGA-W4-A7U2-01A	26 years, male, white, alive, 1263 days	8.5
TCGA-2G-AAH3-01A	20 years, male, white, stage:i, alive, 1822 days	8.3
TCGA-ZM-AA0D-01A	34 years, male, white, stage:ia, alive, 848 days	8.3
TCGA-2G-AAHL-01A	26 years, male, white, stage:i, alive, 7081 days	8.1
TCGA-XE-AAO4-01A	40 years, male, white, stage:ia, alive, 367 days	7.5
TCGA-ZM-AA0B-01A	32 years, male, white, stage:ia, alive, 838 days	7.4
TCGA-VF-A8A9-01A	31 years, male, white, stage:ia, alive, 1119 days	7.4
TCGA-2G-AAG9-01A	25 years, male, white, stage:iiib, alive, 2234 days	7.3
TCGA-VF-A8AE-01A	39 years, male, white, stage:ia, alive, 727 days	7.1
TCGA-YU-A912-01A	34 years, male, black or african american, stage:iiic, alive, 866 days	7.0
TCGA-S6-A8JX-01A	27 years, male, white, stage:ib, alive, 552 days	6.9
TCGA-ZM-AA0E-01A	39 years, male, white, stage:ia, alive, 811 days	6.6
TCGA-ZM-AA0N-01A	44 years, male, white, stage:ib, alive, 634 days	6.6
TCGA-YU-A90Q-01A	21 years, male, stage:ib, alive, 1964 days	6.5
TCGA-2G-AAHC-01A	33 years, male, white, stage:is, alive, 5539 days	6.0
TCGA-VF-A8AA-01A	51 years, male, white, stage:i, alive, 1146 days	6.0
TCGA-XE-AAOL-01A	38 years, male, black or african american, stage:i, alive, 13 days	5.8
TCGA-WZ-A7V3-01A	20 years, male, white, stage:i, alive, 753 days	5.5
TCGA-VF-A8AB-01A	31 years, male, black or african american, stage:ia, alive, 760 days	5.4
TCGA-2X-A9D5-01A	49 years, male, white, stage:i, alive, 435 days	5.1
TCGA-XE-AANJ-01A	39 years, male, white, stage:is, alive, 2007 days	5.0
TCGA-XE-A8H4-01A	23 years, male, white, stage:ia, alive, 559 days	4.8
TCGA-2G-AAHN-01A	32 years, male, white, stage:i, alive, 6445 days	4.7
TCGA-SO-A8JP-01A	29 years, male, white, stage:i, alive, 540 days	4.7
TCGA-XE-AANV-01A	52 years, male, stage:ib, alive, 1701 days	4.5
TCGA-YU-A90S-01A	26 years, male, white, stage:ia, alive, 971 days	4.4
TCGA-2G-AAFG-01A	30 years, male, white, stage:is, alive, 6183 days	4.2
TCGA-SN-A6IS-01A	26 years, male, white, stage:is, alive, 496 days	4.2
TCGA-2G-AAH0-01A	30 years, male, white, stage:is, alive, 5477 days	4.0
TCGA-XE-AAOF-01A	50 years, male, asian, stage:ia, alive, 1268 days	4.0
TCGA-2G-AAF1-01A	28 years, male, asian, stage:is, alive, 1403 days	3.8
TCGA-WZ-A8D5-01A	38 years, male, white, alive, 774 days	3.6
TCGA-S6-A8JW-01A	37 years, male, white, stage:is, alive, 698 days	3.5
TCGA-2G-AAEW-01A	31 years, male, white, stage:is, dead, 618 days	3.4
TCGA-XE-AAO6-01A	47 years, male, white, stage:ia, alive, 240 days	3.1
TCGA-2G-AAHA-01A	48 years, male, white, stage:ib, alive, 3349 days	3.0
TCGA-YU-A90W-01A	45 years, male, white, stage:ia, alive, 1113 days	3.0
TCGA-2G-AAF4-01A	30 years, male, white, stage:i, alive, 2315 days	2.9
TCGA-XY-A89B-01A	35 years, male, white, stage:ia, alive, 471 days	2.8
TCGA-XY-A9T9-01A	37 years, male, white, stage:is, alive, 281 days	2.6
TCGA-S6-A8JY-01A	27 years, male, white, stage:is, alive, 278 days	2.6
TCGA-2G-AAHG-01A	25 years, male, white, stage:i, alive, 1819 days	2.4
TCGA-WZ-A7V4-01A	28 years, male, white, stage:i, alive, 894 days	2.3
TCGA-2G-AAFE-01A	37 years, male, white, stage:iia, alive, 4702 days	2.3
TCGA-2G-AAHT-01A	32 years, male, white, stage:is, alive, 542 days	2.1
TCGA-2G-AAF6-01A	28 years, male, white, stage:is, alive, 3491 days	1.9
TCGA-SB-A76C-01A	38 years, male, white, alive, 42 days	1.8
TCGA-XE-A8H5-01A	29 years, male, stage:is, alive, 1217 days	1.7
TCGA-4K-AA1G-01A	34 years, male, white, stage:is, alive, 436 days	1.6
TCGA-SB-A6J6-01A	22 years, male, white, stage:ia, alive, 413 days	1.5
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TESTIS CANCER - Protein expressionⁱ

Pending cancer tissue analysis