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  • SUMMARY

  • TISSUE

  • BRAIN

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  • SUBCELL

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  • STRUCT & INT

  • RPL5
CANCER 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
TGCT TCGA PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Testis cancer
Human cancer
Testicular germ cell tumor
TESTICULAR GERM CELL TUMOR (TCGA) - 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.

RPL5 is not prognostic in Testicular Germ Cell Tumor (TCGA)


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.

: 2048.57
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.

: 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 pTPM 1575.6
Number of samples 133
Samples
Sample Description pTPM
TCGA-YU-A94D-01A 28 years, male, stage:Stage IIIB, alive, 2167 days 3928.8
TCGA-VF-A8A8-01A 18 years, male, white, stage:Stage IA, alive, 1131 days 3664.6
TCGA-XE-AAOJ-01A 24 years, male, white, stage:Stage IS, alive, 1550 days 3529.7
TCGA-2G-AAHL-01A 26 years, male, white, stage:Stage I, alive, 7081 days 2951.6
TCGA-S6-A8JY-01A 27 years, male, white, stage:Stage IS, alive, 278 days 2917.5
TCGA-XE-A8H5-01A 29 years, male, stage:Stage IS, alive, 1217 days 2805.4
TCGA-XE-AANR-01A 23 years, male, white, stage:Stage I, alive, 14 days 2792.4
TCGA-2G-AAH8-01A 45 years, male, white, stage:Stage IIIC, alive, 2248 days 2769.8
TCGA-VF-A8AC-01A 29 years, male, white, stage:Stage IA, alive, 1083 days 2760.1
TCGA-YU-A90W-01A 45 years, male, white, stage:Stage IA, alive, 1113 days 2753.6
TCGA-XE-AAO3-01A 33 years, male, asian, stage:Stage I, alive, 2857 days 2708.5
TCGA-2G-AAFJ-01A 23 years, male, asian, stage:'--, alive, 792 days 2644.2
TCGA-2G-AAH4-01A 34 years, male, white, stage:Stage II, alive, 6210 days 2613.0
TCGA-2G-AAGM-01A 51 years, male, white, stage:Stage IS, alive, 3891 days 2612.2
TCGA-2G-AAGK-01A 20 years, male, white, stage:Stage IS, alive, 3621 days 2605.2
TCGA-2G-AAG9-01A 25 years, male, white, stage:Stage IIIB, alive, 2234 days 2556.8
TCGA-YU-A912-01A 34 years, male, black or african american, stage:Stage IIIC, alive, 866 days 2448.4
TCGA-2G-AAKH-01A 19 years, male, white, stage:Stage II, alive, 6862 days 2445.1
TCGA-2G-AAGC-01A 28 years, male, white, stage:Stage IS, alive, 2585 days 2430.5
TCGA-2G-AAHG-01A 25 years, male, white, stage:Stage I, alive, 1819 days 2325.4
TCGA-2G-AAFO-01A 33 years, male, white, stage:Stage IIA, alive, 685 days 2312.5
TCGA-XE-A8H4-01A 23 years, male, white, stage:Stage IA, alive, 559 days 2285.4
TCGA-XE-A8H1-01A 24 years, male, white, stage:Stage IS, alive, 209 days 2242.9
TCGA-2G-AAFZ-01A 32 years, male, white, stage:Stage III, alive, 1353 days 2234.2
TCGA-2G-AAGX-01A 22 years, male, white, stage:Stage IA, alive, 5514 days 2191.1
TCGA-2G-AAFG-01A 30 years, male, white, stage:Stage IS, alive, 6183 days 2181.2
TCGA-2G-AAFI-01A 41 years, male, white, stage:Stage IB, alive, 675 days 2174.5
TCGA-VF-A8AA-01A 51 years, male, white, stage:Stage I, alive, 1146 days 2173.1
TCGA-XE-AAO6-01A 47 years, male, white, stage:Stage IA, alive, 240 days 2132.7
TCGA-2G-AAGV-01A 23 years, male, white, stage:'--, alive, 4527 days 2127.5
TCGA-XE-AAO4-01A 40 years, male, white, stage:Stage IA, alive, 367 days 2096.7
TCGA-VF-A8A9-01A 31 years, male, white, stage:Stage IA, alive, 1119 days 2091.7
TCGA-2G-AAG3-01A 53 years, male, white, stage:Stage IS, alive, 1593 days 2088.5
TCGA-2G-AAGZ-01A 27 years, male, white, stage:Stage IIIA, alive, 5233 days 2065.7
TCGA-2G-AAF4-01A 30 years, male, white, stage:Stage I, alive, 2315 days 2051.3
TCGA-S6-A8JW-01A 37 years, male, white, stage:Stage IS, alive, 698 days 2048.6
TCGA-2G-AAEW-01A 31 years, male, white, stage:Stage IS, dead, 618 days 2045.4
TCGA-2G-AAF1-01A 28 years, male, asian, stage:Stage IS, alive, 1403 days 2035.8
TCGA-SN-A84X-01A 21 years, male, white, stage:Stage IS, alive, 312 days 2024.1
TCGA-W4-A7U4-01A 23 years, male, white, stage:'--, alive, 738 days 2013.2
TCGA-YU-A90P-01A 25 years, male, white, stage:Stage IA, alive, 2069 days 2003.0
TCGA-2G-AAFY-01A 24 years, male, white, stage:Stage IIA, alive, 1099 days 1956.2
TCGA-2X-A9D6-01A 42 years, male, white, stage:Stage I, alive, 607 days 1932.6
TCGA-ZM-AA0B-01A 32 years, male, white, stage:Stage IA, alive, 838 days 1915.9
TCGA-XE-AANV-01A 52 years, male, stage:Stage IB, alive, 1701 days 1911.6
TCGA-2G-AAHA-01A 48 years, male, white, stage:Stage IB, alive, 3349 days 1898.8
TCGA-2G-AAF6-01A 28 years, male, white, stage:Stage IS, alive, 3491 days 1893.2
TCGA-SB-A6J6-01A 22 years, male, white, stage:Stage IA, alive, 413 days 1871.8
TCGA-2G-AALP-01A 43 years, male, white, stage:Stage IIIB, alive, 2645 days 1860.7
TCGA-WZ-A7V5-01A 27 years, male, white, stage:Stage I, alive, 1061 days 1818.5
TCGA-2G-AAH0-01A 30 years, male, white, stage:Stage IS, alive, 5477 days 1811.5
TCGA-ZM-AA06-01A 45 years, male, white, stage:Stage IB, alive, 1498 days 1809.7
TCGA-YU-A90Q-01A 21 years, male, stage:Stage IB, alive, 1964 days 1796.6
TCGA-WZ-A8D5-01A 38 years, male, white, stage:'--, alive, 774 days 1789.7
TCGA-2G-AAHN-01A 32 years, male, white, stage:Stage I, alive, 6445 days 1780.1
TCGA-2G-AAL5-01A 31 years, male, white, stage:Stage I, alive, 7437 days 1767.8
TCGA-2G-AAFM-01A 31 years, male, white, stage:Stage IIA, alive, 503 days 1766.9
TCGA-ZM-AA0N-01A 44 years, male, white, stage:Stage IB, alive, 634 days 1760.9
TCGA-W4-A7U2-01A 26 years, male, white, stage:'--, alive, 1263 days 1738.3
TCGA-2G-AAF8-01A 33 years, male, white, stage:Stage IA, alive, 3911 days 1734.4
TCGA-ZM-AA0F-01A 35 years, male, white, stage:Stage IA, alive, 681 days 1722.1
TCGA-ZM-AA0D-01A 34 years, male, white, stage:Stage IA, alive, 848 days 1719.2
TCGA-SO-A8JP-01A 29 years, male, white, stage:Stage I, alive, 540 days 1715.4
TCGA-4K-AA1H-01A 26 years, male, white, stage:Stage IA, alive, 518 days 1704.3
TCGA-2G-AAG7-01A 33 years, male, white, stage:Stage IS, alive, 2475 days 1704.2
TCGA-2G-AAG5-01A 36 years, male, white, stage:Stage IS, alive, 2299 days 1697.9
TCGA-YU-A90Y-01A 23 years, male, black or african american, stage:Stage IIIC, dead, 17 days 1686.1
TCGA-SN-A84W-01A 30 years, male, white, stage:Stage IS, alive, 293 days 1674.0
TCGA-XE-AAOC-01A 31 years, male, white, stage:Stage IA, alive, 270 days 1645.3
TCGA-ZM-AA0E-01A 39 years, male, white, stage:Stage IA, alive, 811 days 1621.5
TCGA-2G-AAHP-01A 31 years, male, white, stage:Stage IS, alive, 5667 days 1604.8
TCGA-2G-AAGI-01A 33 years, male, white, stage:Stage IS, alive, 3137 days 1580.4
TCGA-2G-AAGO-01A 41 years, male, white, stage:Stage IS, alive, 4026 days 1580.4
TCGA-2G-AAFN-01A 26 years, male, white, stage:Stage IIIB, alive, 773 days 1578.0
TCGA-2G-AAKG-01A 22 years, male, white, stage:Stage I, alive, 6598 days 1572.7
TCGA-WZ-A7V4-01A 28 years, male, white, stage:Stage I, alive, 894 days 1554.3
TCGA-VF-A8AE-01A 39 years, male, white, stage:Stage IA, alive, 727 days 1552.1
TCGA-2G-AAGP-01A 33 years, male, white, stage:Stage IIA, alive, 4018 days 1511.6
TCGA-YU-A90S-01A 26 years, male, white, stage:Stage IA, alive, 971 days 1465.7
TCGA-XE-AAOD-01A 39 years, male, white, stage:Stage IB, alive, 2058 days 1438.4
TCGA-ZM-AA0H-01A 50 years, male, white, stage:Stage IS, alive, 1736 days 1427.6
TCGA-2G-AAGJ-01A 28 years, male, black or african american, stage:Stage IA, alive, 2938 days 1414.5
TCGA-2X-A9D5-01A 49 years, male, white, stage:Stage I, alive, 435 days 1360.6
TCGA-2G-AAG6-01A 24 years, male, white, stage:Stage IS, alive, 2231 days 1359.8
TCGA-VF-A8AD-01A 36 years, male, white, stage:Stage IB, alive, 1006 days 1289.6
TCGA-4K-AA1I-01A 26 years, male, white, stage:Stage IA, alive, 3 days 1277.8
TCGA-XE-AANI-01A 37 years, male, white, stage:Stage IS, alive, 1041 days 1254.6
TCGA-2G-AAFH-01A 38 years, male, white, stage:Stage IIB, alive, 1375 days 1222.8
TCGA-2G-AAGY-01A 28 years, male, white, stage:Stage IS, alive, 5329 days 1187.9
TCGA-2G-AAG0-01A 23 years, male, white, stage:Stage IS, alive, 1529 days 1175.1
TCGA-XE-AANJ-01A 39 years, male, white, stage:Stage IS, alive, 2007 days 1166.7
TCGA-2G-AAH2-01A 20 years, male, white, stage:Stage IS, alive, 6060 days 1140.1
TCGA-2G-AAGG-01A 20 years, male, white, stage:Stage IIIC, alive, 2611 days 1125.3
TCGA-2G-AAGA-01A 38 years, male, white, stage:Stage IIA, alive, 2439 days 1099.3
TCGA-2G-AAGW-01A 38 years, male, white, stage:Stage IS, alive, 4899 days 1085.0
TCGA-4K-AA1G-01A 34 years, male, white, stage:Stage IS, alive, 436 days 1040.1
TCGA-XE-AAOB-01A 27 years, male, white, stage:Stage IS, dead, 513 days 890.0
TCGA-2G-AAGS-01A 39 years, male, white, stage:Stage IIIB, alive, 4816 days 889.5
TCGA-XE-AAOL-01A 38 years, male, black or african american, stage:Stage I, alive, 13 days 833.7
TCGA-SN-A84Y-01A 18 years, male, white, stage:Stage IS, alive, 524 days 814.6
TCGA-WZ-A7V3-01A 20 years, male, white, stage:Stage I, alive, 753 days 798.8
TCGA-4K-AAAL-01A 31 years, male, white, stage:Stage IS, alive, 483 days 796.2
TCGA-YU-AA4L-01A 27 years, male, black or african american, stage:Stage IIIC, alive, 1573 days 790.4
TCGA-SB-A76C-01A 38 years, male, white, stage:'--, alive, 42 days 762.6
TCGA-SN-A6IS-01A 26 years, male, white, stage:Stage IS, alive, 496 days 760.5
TCGA-S6-A8JX-01A 27 years, male, white, stage:Stage IB, alive, 552 days 752.9
TCGA-2G-AAHT-01A 32 years, male, white, stage:Stage IS, alive, 542 days 733.3
TCGA-2G-AAGE-01A 21 years, male, white, stage:Stage IS, alive, 2478 days 709.8
TCGA-2G-AAKL-01A 26 years, male, white, stage:Stage II, alive, 7023 days 700.7
TCGA-2G-AAH3-01A 20 years, male, white, stage:Stage I, alive, 1822 days 696.7
TCGA-2G-AAKM-01A 14 years, male, white, stage:Stage II, dead, 6972 days 685.6
TCGA-XY-A8S2-01A 67 years, male, white, stage:Stage I, alive, 672 days 638.2
TCGA-XY-A89B-01A 35 years, male, white, stage:Stage IA, alive, 471 days 635.4
TCGA-VF-A8AB-01A 31 years, male, black or african american, stage:Stage IA, alive, 760 days 629.8
TCGA-XY-A9T9-01A 37 years, male, white, stage:Stage IS, alive, 281 days 585.9
TCGA-2G-AAL7-01A 32 years, male, white, stage:Stage IS, alive, 3991 days 581.8
TCGA-XE-AAOF-01A 50 years, male, asian, stage:Stage IA, alive, 1268 days 574.1
TCGA-YU-AA61-01A 29 years, male, white, stage:Stage IS, alive, 864 days 562.5
TCGA-XE-A9SE-01A 35 years, male, white, stage:Stage IA, alive, 708 days 547.5
TCGA-2G-AAFL-01A 35 years, male, white, stage:Stage IB, alive, 750 days 508.6
TCGA-YU-A94I-01A 66 years, male, stage:Stage IA, alive, 536 days 508.4
TCGA-2G-AAFV-01A 31 years, male, white, stage:Stage IS, alive, 1389 days 500.6
TCGA-2G-AAEX-01A 38 years, male, white, stage:Stage IS, alive, 1259 days 479.8
TCGA-2G-AAGN-01A 41 years, male, white, stage:Stage IIIB, alive, 3656 days 465.9
TCGA-2G-AAHC-01A 33 years, male, white, stage:Stage IS, alive, 5539 days 461.3
TCGA-W4-A7U3-01A 26 years, male, white, stage:'--, alive, 149 days 424.3
TCGA-2G-AAGF-01A 28 years, male, white, stage:Stage IS, alive, 2734 days 417.9
TCGA-2G-AAGT-01A 30 years, male, white, stage:Stage IS, alive, 4406 days 402.9
TCGA-2G-AAFE-01A 37 years, male, white, stage:Stage IIA, alive, 4702 days 351.9
TCGA-2G-AAKD-01A 18 years, male, white, stage:Stage III, alive, 6340 days 339.7
TCGA-X3-A8G4-01A 33 years, male, white, stage:Stage IS, alive, 856 days 327.5
TCGA-2G-AAG8-01A 21 years, male, white, stage:Stage IB, alive, 2289 days 192.1
TCGA-ZM-AA05-01A 36 years, male, white, stage:Stage IIC, alive, 1126 days 155.6
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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.

 

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.


Antibody HPA043717
 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
Carcinoma, Embryonal, NOS
Seminoma, NOS
Seminoma, NOS
Carcinoma, Embryonal, NOS

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