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PATHOLOGY TESTIS CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
Dictionary
Testis cancer
Human pathology
Testis cancer
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

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

Read more
TMSB10 is not prognostic in testis cancer


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

Read more
: 1270.37
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

Read more
: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average FPKM 1841.8
Number of samples 134
Samples
Sample Description FPKM
TCGA-2G-AAFM-01A 31 years, male, white, stage:iia, alive, 503 days 6029.1
TCGA-ZM-AA0H-01A 50 years, male, white, stage:is, alive, 1736 days 4490.2
TCGA-ZM-AA05-01A 36 years, male, white, stage:iic, alive, 1126 days 4284.1
TCGA-ZM-AA0D-01A 34 years, male, white, stage:ia, alive, 848 days 3999.6
TCGA-YU-A90S-01A 26 years, male, white, stage:ia, alive, 971 days 3973.1
TCGA-VF-A8AE-01A 39 years, male, white, stage:ia, alive, 727 days 3969.9
TCGA-2G-AAFO-01A 33 years, male, white, stage:iia, alive, 685 days 3758.6
TCGA-ZM-AA0E-01A 39 years, male, white, stage:ia, alive, 811 days 3417.1
TCGA-VF-A8AB-01A 31 years, male, black or african american, stage:ia, alive, 760 days 3314.4
TCGA-2G-AAGF-01A 28 years, male, white, stage:is, alive, 2734 days 3286.2
TCGA-ZM-AA0F-01A 35 years, male, white, stage:ia, alive, 681 days 3156.0
TCGA-4K-AA1H-01A 26 years, male, white, stage:ia, alive, 518 days 3086.7
TCGA-XE-AAOB-01A 27 years, male, white, stage:is, dead, 513 days 3014.2
TCGA-XE-AAOJ-01A 24 years, male, white, stage:is, alive, 1550 days 3000.8
TCGA-ZM-AA0N-01A 44 years, male, white, stage:ib, alive, 634 days 2993.6
TCGA-2G-AAFL-01A 35 years, male, white, stage:ib, alive, 750 days 2983.9
TCGA-2G-AAGT-01A 30 years, male, white, stage:is, alive, 4406 days 2936.1
TCGA-2G-AAHN-01A 32 years, male, white, stage:i, alive, 6445 days 2924.6
TCGA-YU-AA4L-01A 27 years, male, black or african american, stage:iiic, alive, 1573 days 2860.7
TCGA-SN-A84X-01A 21 years, male, white, stage:is, alive, 312 days 2821.3
TCGA-2G-AAH4-01A 34 years, male, white, stage:ii, alive, 6210 days 2801.6
TCGA-XE-AAOC-01A 31 years, male, white, stage:ia, alive, 270 days 2758.0
TCGA-2G-AAG8-01A 21 years, male, white, stage:ib, alive, 2289 days 2732.6
TCGA-2G-AAGZ-01A 27 years, male, white, stage:iiia, alive, 5233 days 2730.2
TCGA-2G-AAL5-01A 31 years, male, white, stage:i, alive, 7437 days 2718.7
TCGA-4K-AA1I-01A 26 years, male, white, stage:ia, alive, 3 days 2631.4
TCGA-X3-A8G4-01A 33 years, male, white, stage:is, alive, 856 days 2577.2
TCGA-2G-AAFN-01A 26 years, male, white, stage:iiib, alive, 773 days 2470.7
TCGA-VF-A8A8-01A 18 years, male, white, stage:ia, alive, 1131 days 2394.5
TCGA-2G-AAFY-01A 24 years, male, white, stage:iia, alive, 1099 days 2344.5
TCGA-2G-AAKD-01A 18 years, male, white, stage:iii, alive, 6340 days 2340.7
TCGA-ZM-AA0B-01A 32 years, male, white, stage:ia, alive, 838 days 2339.0
TCGA-YU-AA61-01A 29 years, male, white, stage:is, alive, 864 days 2304.9
TCGA-2G-AAHC-01A 33 years, male, white, stage:is, alive, 5539 days 2281.1
TCGA-XE-AAO6-01A 47 years, male, white, stage:ia, alive, 240 days 2234.4
TCGA-2G-AAGG-01A 20 years, male, white, stage:iiic, alive, 2611 days 2231.9
TCGA-2G-AAGY-01A 28 years, male, white, stage:is, alive, 5329 days 2226.2
TCGA-2G-AALP-01A 43 years, male, white, stage:iiib, alive, 2645 days 2210.9
TCGA-2G-AAHL-01A 26 years, male, white, stage:i, alive, 7081 days 2196.4
TCGA-2G-AAHA-01A 48 years, male, white, stage:ib, alive, 3349 days 2196.0
TCGA-2G-AAFV-01A 31 years, male, white, stage:is, alive, 1389 days 2153.3
TCGA-VF-A8AD-01A 36 years, male, white, stage:ib, alive, 1006 days 2120.0
TCGA-2G-AAG5-01A 36 years, male, white, stage:is, alive, 2299 days 2038.4
TCGA-SN-A84W-01A 30 years, male, white, stage:is, alive, 293 days 1967.7
TCGA-2G-AAL7-01A 32 years, male, white, stage:is, alive, 3991 days 1964.6
TCGA-2G-AAFE-01A 37 years, male, white, stage:iia, alive, 4702 days 1958.4
TCGA-YU-A90Y-01A 23 years, male, black or african american, stage:iiic, dead, 17 days 1945.0
TCGA-XY-A8S3-01B 24 years, male, white, stage:is, alive, 843 days 1941.0
TCGA-2G-AAGP-01A 33 years, male, white, stage:iia, alive, 4018 days 1937.0
TCGA-W4-A7U3-01A 26 years, male, white, alive, 149 days 1927.0
TCGA-XE-AAOD-01A 39 years, male, white, stage:ib, alive, 2058 days 1926.1
TCGA-4K-AAAL-01A 31 years, male, white, stage:is, alive, 483 days 1924.1
TCGA-2G-AAGJ-01A 28 years, male, black or african american, stage:ia, alive, 2938 days 1903.9
TCGA-XE-A8H4-01A 23 years, male, white, stage:ia, alive, 559 days 1885.9
TCGA-VF-A8A9-01A 31 years, male, white, stage:ia, alive, 1119 days 1877.3
TCGA-YU-A94D-01A 28 years, male, stage:iiib, alive, 2167 days 1855.0
TCGA-2G-AAKL-01A 26 years, male, white, stage:ii, alive, 7023 days 1850.6
TCGA-VF-A8AC-01A 29 years, male, white, stage:ia, alive, 1083 days 1813.6
TCGA-2G-AAGK-01A 20 years, male, white, stage:is, alive, 3621 days 1801.4
TCGA-ZM-AA06-01A 45 years, male, white, stage:ib, alive, 1498 days 1790.3
TCGA-XE-AAO4-01A 40 years, male, white, stage:ia, alive, 367 days 1768.7
TCGA-2G-AAFI-01A 41 years, male, white, stage:ib, alive, 675 days 1740.1
TCGA-2X-A9D5-01A 49 years, male, white, stage:i, alive, 435 days 1700.5
TCGA-XE-AANI-01A 37 years, male, white, stage:is, alive, 1041 days 1698.7
TCGA-YU-A90P-01A 25 years, male, white, stage:ia, alive, 2069 days 1681.4
TCGA-2G-AAH2-01A 20 years, male, white, stage:is, alive, 6060 days 1663.2
TCGA-2G-AAKG-01A 22 years, male, white, stage:i, alive, 6598 days 1650.9
TCGA-XE-AAOF-01A 50 years, male, asian, stage:ia, alive, 1268 days 1641.8
TCGA-2G-AAG0-01A 23 years, male, white, stage:is, alive, 1529 days 1624.2
TCGA-WZ-A8D5-01A 38 years, male, white, alive, 774 days 1620.8
TCGA-XE-AANJ-01A 39 years, male, white, stage:is, alive, 2007 days 1599.3
TCGA-XY-A8S2-01A 67 years, male, white, stage:i, alive, 672 days 1575.6
TCGA-2G-AAGW-01A 38 years, male, white, stage:is, alive, 4899 days 1573.1
TCGA-2G-AAGN-01A 41 years, male, white, stage:iiib, alive, 3656 days 1563.1
TCGA-2G-AAG6-01A 24 years, male, white, stage:is, alive, 2231 days 1538.8
TCGA-2G-AAF8-01A 33 years, male, white, stage:ia, alive, 3911 days 1518.5
TCGA-2G-AAGC-01A 28 years, male, white, stage:is, alive, 2585 days 1501.4
TCGA-2G-AAGA-01A 38 years, male, white, stage:iia, alive, 2439 days 1465.2
TCGA-2G-AAGI-01A 33 years, male, white, stage:is, alive, 3137 days 1452.1
TCGA-2G-AAKM-01A 14 years, male, white, stage:ii, dead, 6972 days 1443.8
TCGA-YU-A94I-01A 66 years, male, stage:ia, alive, 536 days 1434.7
TCGA-2G-AAGO-01A 41 years, male, white, stage:is, alive, 4026 days 1428.9
TCGA-XY-A89B-01A 35 years, male, white, stage:ia, alive, 471 days 1427.5
TCGA-2G-AAGM-01A 51 years, male, white, stage:is, alive, 3891 days 1423.6
TCGA-XE-A8H1-01A 24 years, male, white, stage:is, alive, 209 days 1422.6
TCGA-2G-AAG9-01A 25 years, male, white, stage:iiib, alive, 2234 days 1383.1
TCGA-2G-AAHG-01A 25 years, male, white, stage:i, alive, 1819 days 1378.6
TCGA-2G-AAF6-01A 28 years, male, white, stage:is, alive, 3491 days 1370.6
TCGA-2G-AAFG-01A 30 years, male, white, stage:is, alive, 6183 days 1370.5
TCGA-2G-AAGX-01A 22 years, male, white, stage:ia, alive, 5514 days 1361.9
TCGA-VF-A8AA-01A 51 years, male, white, stage:i, alive, 1146 days 1344.8
TCGA-2G-AAGE-01A 21 years, male, white, stage:is, alive, 2478 days 1301.3
TCGA-2G-AAFJ-01A 23 years, male, asian, alive, 792 days 1287.0
TCGA-2G-AAEW-01A 31 years, male, white, stage:is, dead, 618 days 1270.9
TCGA-2G-AAF4-01A 30 years, male, white, stage:i, alive, 2315 days 1269.8
TCGA-2G-AAKH-01A 19 years, male, white, stage:ii, alive, 6862 days 1268.1
TCGA-XE-AANR-01A 24 years, male, white, stage:i, alive, 14 days 1236.7
TCGA-2G-AAHT-01A 32 years, male, white, stage:is, alive, 542 days 1212.1
TCGA-2G-AAHP-01A 31 years, male, white, stage:is, alive, 5667 days 1203.8
TCGA-WZ-A7V4-01A 28 years, male, white, stage:i, alive, 894 days 1200.8
TCGA-2G-AAGS-01A 39 years, male, white, stage:iiib, alive, 4816 days 1182.2
TCGA-2G-AAFH-01A 38 years, male, white, stage:iib, alive, 1375 days 1175.7
TCGA-2G-AAEX-01A 38 years, male, white, stage:is, alive, 1259 days 1172.2
TCGA-2G-AAF1-01A 28 years, male, asian, stage:is, alive, 1403 days 1157.4
TCGA-2G-AAG7-01A 33 years, male, white, stage:is, alive, 2475 days 1154.9
TCGA-2G-AAFZ-01A 32 years, male, white, stage:iii, alive, 1353 days 1140.1
TCGA-SB-A6J6-01A 22 years, male, white, stage:ia, alive, 413 days 1092.4
TCGA-W4-A7U4-01A 23 years, male, white, alive, 738 days 1064.0
TCGA-4K-AA1G-01A 34 years, male, white, stage:is, alive, 436 days 1057.3
TCGA-YU-A912-01A 34 years, male, black or african american, stage:iiic, alive, 866 days 1046.7
TCGA-2G-AAH0-01A 30 years, male, white, stage:is, alive, 5477 days 1041.0
TCGA-2G-AAG3-01A 53 years, male, white, stage:is, alive, 1593 days 1037.1
TCGA-XE-A9SE-01A 35 years, male, white, stage:ia, alive, 708 days 1031.3
TCGA-XE-A8H5-01A 29 years, male, stage:is, alive, 1217 days 963.4
TCGA-SB-A76C-01A 38 years, male, white, alive, 42 days 962.6
TCGA-WZ-A7V3-01A 20 years, male, white, stage:i, alive, 753 days 959.5
TCGA-YU-A90W-01A 45 years, male, white, stage:ia, alive, 1113 days 955.6
TCGA-SN-A84Y-01A 18 years, male, white, stage:is, alive, 524 days 931.8
TCGA-XY-A9T9-01A 37 years, male, white, stage:is, alive, 281 days 917.3
TCGA-XE-AANV-01A 52 years, male, stage:ib, alive, 1701 days 885.8
TCGA-SN-A6IS-01A 26 years, male, white, stage:is, alive, 496 days 856.6
TCGA-WZ-A7V5-01A 27 years, male, white, stage:i, alive, 1061 days 852.6
TCGA-2G-AAH8-01A 45 years, male, white, stage:iiic, alive, 2248 days 835.2
TCGA-W4-A7U2-01A 26 years, male, white, alive, 1263 days 794.8
TCGA-2G-AAGV-01A 23 years, male, white, alive, 4527 days 792.0
TCGA-S6-A8JY-01A 27 years, male, white, stage:is, alive, 278 days 769.7
TCGA-SO-A8JP-01A 29 years, male, white, stage:i, alive, 540 days 712.3
TCGA-XE-AAOL-01A 38 years, male, black or african american, stage:i, alive, 13 days 711.4
TCGA-2X-A9D6-01A 42 years, male, white, stage:i, alive, 607 days 669.1
TCGA-XE-AAO3-01A 33 years, male, asian, stage:i, alive, 2857 days 668.5
TCGA-2G-AAH3-01A 20 years, male, white, stage:i, alive, 1822 days 597.1
TCGA-S6-A8JW-01A 37 years, male, white, stage:is, alive, 698 days 525.1
TCGA-S6-A8JX-01A 27 years, male, white, stage:ib, alive, 552 days 463.8
TCGA-YU-A90Q-01A 21 years, male, stage:ib, alive, 1964 days 412.3
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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.

Pending cancer tissue analysis

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The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.