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RPL26
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  • SUMMARY

  • TISSUE

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  • STRUCT & INT

  • RPL26
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.

RPL26 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.

: 4493.56
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 4046.0
Number of samples 133
Samples
Sample Description pTPM
TCGA-2G-AAGF-01A 28 years, male, white, stage:Stage IS, alive, 2734 days 10917.7
TCGA-2G-AAKD-01A 18 years, male, white, stage:Stage III, alive, 6340 days 10027.6
TCGA-XE-AANR-01A 23 years, male, white, stage:Stage I, alive, 14 days 9008.2
TCGA-S6-A8JX-01A 27 years, male, white, stage:Stage IB, alive, 552 days 8352.2
TCGA-2G-AAKL-01A 26 years, male, white, stage:Stage II, alive, 7023 days 7792.1
TCGA-2G-AAF6-01A 28 years, male, white, stage:Stage IS, alive, 3491 days 7368.7
TCGA-2G-AAHC-01A 33 years, male, white, stage:Stage IS, alive, 5539 days 6576.5
TCGA-VF-A8AC-01A 29 years, male, white, stage:Stage IA, alive, 1083 days 6538.4
TCGA-2G-AAGW-01A 38 years, male, white, stage:Stage IS, alive, 4899 days 6226.5
TCGA-2G-AAGZ-01A 27 years, male, white, stage:Stage IIIA, alive, 5233 days 6098.5
TCGA-XE-AAO3-01A 33 years, male, asian, stage:Stage I, alive, 2857 days 6086.4
TCGA-2G-AAFM-01A 31 years, male, white, stage:Stage IIA, alive, 503 days 6050.2
TCGA-4K-AA1I-01A 26 years, male, white, stage:Stage IA, alive, 3 days 6036.8
TCGA-2G-AAF8-01A 33 years, male, white, stage:Stage IA, alive, 3911 days 5920.0
TCGA-2G-AAKG-01A 22 years, male, white, stage:Stage I, alive, 6598 days 5827.8
TCGA-2G-AAGA-01A 38 years, male, white, stage:Stage IIA, alive, 2439 days 5778.4
TCGA-2G-AAHL-01A 26 years, male, white, stage:Stage I, alive, 7081 days 5724.1
TCGA-2G-AAKH-01A 19 years, male, white, stage:Stage II, alive, 6862 days 5636.4
TCGA-2G-AAHG-01A 25 years, male, white, stage:Stage I, alive, 1819 days 5626.1
TCGA-2G-AAFG-01A 30 years, male, white, stage:Stage IS, alive, 6183 days 5572.1
TCGA-VF-A8A8-01A 18 years, male, white, stage:Stage IA, alive, 1131 days 5417.3
TCGA-2G-AAEW-01A 31 years, male, white, stage:Stage IS, dead, 618 days 5397.0
TCGA-2G-AAL7-01A 32 years, male, white, stage:Stage IS, alive, 3991 days 5384.2
TCGA-2G-AAGJ-01A 28 years, male, black or african american, stage:Stage IA, alive, 2938 days 5345.7
TCGA-2G-AAH3-01A 20 years, male, white, stage:Stage I, alive, 1822 days 5227.4
TCGA-2G-AAFI-01A 41 years, male, white, stage:Stage IB, alive, 675 days 5204.4
TCGA-2G-AAFN-01A 26 years, male, white, stage:Stage IIIB, alive, 773 days 5200.6
TCGA-2G-AAGC-01A 28 years, male, white, stage:Stage IS, alive, 2585 days 5196.9
TCGA-XE-AAOD-01A 39 years, male, white, stage:Stage IB, alive, 2058 days 5185.5
TCGA-YU-A90Q-01A 21 years, male, stage:Stage IB, alive, 1964 days 5159.2
TCGA-VF-A8AD-01A 36 years, male, white, stage:Stage IB, alive, 1006 days 5146.6
TCGA-2G-AAHP-01A 31 years, male, white, stage:Stage IS, alive, 5667 days 5071.2
TCGA-S6-A8JW-01A 37 years, male, white, stage:Stage IS, alive, 698 days 4985.0
TCGA-2G-AAFE-01A 37 years, male, white, stage:Stage IIA, alive, 4702 days 4971.3
TCGA-2G-AAFO-01A 33 years, male, white, stage:Stage IIA, alive, 685 days 4969.2
TCGA-W4-A7U4-01A 23 years, male, white, stage:'--, alive, 738 days 4943.1
TCGA-XE-A8H1-01A 24 years, male, white, stage:Stage IS, alive, 209 days 4894.5
TCGA-VF-A8AA-01A 51 years, male, white, stage:Stage I, alive, 1146 days 4803.2
TCGA-2G-AAKM-01A 14 years, male, white, stage:Stage II, dead, 6972 days 4739.7
TCGA-2G-AAF4-01A 30 years, male, white, stage:Stage I, alive, 2315 days 4719.2
TCGA-2G-AAHA-01A 48 years, male, white, stage:Stage IB, alive, 3349 days 4530.9
TCGA-YU-A90Y-01A 23 years, male, black or african american, stage:Stage IIIC, dead, 17 days 4498.0
TCGA-XE-AANV-01A 52 years, male, stage:Stage IB, alive, 1701 days 4489.1
TCGA-4K-AA1G-01A 34 years, male, white, stage:Stage IS, alive, 436 days 4450.5
TCGA-XE-AAO6-01A 47 years, male, white, stage:Stage IA, alive, 240 days 4440.1
TCGA-SO-A8JP-01A 29 years, male, white, stage:Stage I, alive, 540 days 4396.9
TCGA-YU-A94D-01A 28 years, male, stage:Stage IIIB, alive, 2167 days 4348.4
TCGA-2G-AAH8-01A 45 years, male, white, stage:Stage IIIC, alive, 2248 days 4325.1
TCGA-XE-AANJ-01A 39 years, male, white, stage:Stage IS, alive, 2007 days 4311.2
TCGA-2G-AAHN-01A 32 years, male, white, stage:Stage I, alive, 6445 days 4275.2
TCGA-2G-AAGK-01A 20 years, male, white, stage:Stage IS, alive, 3621 days 4259.5
TCGA-W4-A7U2-01A 26 years, male, white, stage:'--, alive, 1263 days 4256.6
TCGA-2G-AAG3-01A 53 years, male, white, stage:Stage IS, alive, 1593 days 4172.7
TCGA-2G-AAFZ-01A 32 years, male, white, stage:Stage III, alive, 1353 days 4103.2
TCGA-YU-A90W-01A 45 years, male, white, stage:Stage IA, alive, 1113 days 4089.2
TCGA-SB-A76C-01A 38 years, male, white, stage:'--, alive, 42 days 4071.7
TCGA-2G-AAG5-01A 36 years, male, white, stage:Stage IS, alive, 2299 days 4064.9
TCGA-S6-A8JY-01A 27 years, male, white, stage:Stage IS, alive, 278 days 4056.4
TCGA-YU-A90S-01A 26 years, male, white, stage:Stage IA, alive, 971 days 4045.2
TCGA-XE-A8H4-01A 23 years, male, white, stage:Stage IA, alive, 559 days 4036.9
TCGA-WZ-A8D5-01A 38 years, male, white, stage:'--, alive, 774 days 4022.0
TCGA-2G-AAGN-01A 41 years, male, white, stage:Stage IIIB, alive, 3656 days 4020.4
TCGA-SN-A84X-01A 21 years, male, white, stage:Stage IS, alive, 312 days 4012.5
TCGA-2G-AAL5-01A 31 years, male, white, stage:Stage I, alive, 7437 days 4010.1
TCGA-2G-AAGM-01A 51 years, male, white, stage:Stage IS, alive, 3891 days 3951.4
TCGA-XE-A8H5-01A 29 years, male, stage:Stage IS, alive, 1217 days 3913.4
TCGA-WZ-A7V5-01A 27 years, male, white, stage:Stage I, alive, 1061 days 3883.6
TCGA-2G-AAF1-01A 28 years, male, asian, stage:Stage IS, alive, 1403 days 3859.7
TCGA-2G-AAG0-01A 23 years, male, white, stage:Stage IS, alive, 1529 days 3842.2
TCGA-VF-A8A9-01A 31 years, male, white, stage:Stage IA, alive, 1119 days 3841.8
TCGA-2G-AAH0-01A 30 years, male, white, stage:Stage IS, alive, 5477 days 3824.0
TCGA-VF-A8AE-01A 39 years, male, white, stage:Stage IA, alive, 727 days 3729.2
TCGA-2G-AAGI-01A 33 years, male, white, stage:Stage IS, alive, 3137 days 3720.0
TCGA-WZ-A7V3-01A 20 years, male, white, stage:Stage I, alive, 753 days 3713.4
TCGA-SB-A6J6-01A 22 years, male, white, stage:Stage IA, alive, 413 days 3687.0
TCGA-YU-A90P-01A 25 years, male, white, stage:Stage IA, alive, 2069 days 3670.5
TCGA-2G-AALP-01A 43 years, male, white, stage:Stage IIIB, alive, 2645 days 3666.5
TCGA-4K-AA1H-01A 26 years, male, white, stage:Stage IA, alive, 518 days 3644.1
TCGA-2G-AAGO-01A 41 years, male, white, stage:Stage IS, alive, 4026 days 3639.8
TCGA-2G-AAEX-01A 38 years, male, white, stage:Stage IS, alive, 1259 days 3597.1
TCGA-2G-AAFY-01A 24 years, male, white, stage:Stage IIA, alive, 1099 days 3546.9
TCGA-XE-AAOJ-01A 24 years, male, white, stage:Stage IS, alive, 1550 days 3474.1
TCGA-2G-AAGT-01A 30 years, male, white, stage:Stage IS, alive, 4406 days 3449.5
TCGA-2G-AAFV-01A 31 years, male, white, stage:Stage IS, alive, 1389 days 3426.8
TCGA-YU-AA4L-01A 27 years, male, black or african american, stage:Stage IIIC, alive, 1573 days 3415.8
TCGA-4K-AAAL-01A 31 years, male, white, stage:Stage IS, alive, 483 days 3384.7
TCGA-2G-AAG9-01A 25 years, male, white, stage:Stage IIIB, alive, 2234 days 3373.8
TCGA-SN-A84Y-01A 18 years, male, white, stage:Stage IS, alive, 524 days 3252.7
TCGA-VF-A8AB-01A 31 years, male, black or african american, stage:Stage IA, alive, 760 days 3216.7
TCGA-2X-A9D6-01A 42 years, male, white, stage:Stage I, alive, 607 days 3188.9
TCGA-SN-A84W-01A 30 years, male, white, stage:Stage IS, alive, 293 days 3171.0
TCGA-XE-AAOC-01A 31 years, male, white, stage:Stage IA, alive, 270 days 3159.2
TCGA-2G-AAGS-01A 39 years, male, white, stage:Stage IIIB, alive, 4816 days 3112.2
TCGA-2G-AAG6-01A 24 years, male, white, stage:Stage IS, alive, 2231 days 3093.6
TCGA-XE-AAO4-01A 40 years, male, white, stage:Stage IA, alive, 367 days 3061.8
TCGA-2G-AAGG-01A 20 years, male, white, stage:Stage IIIC, alive, 2611 days 3053.0
TCGA-2G-AAH4-01A 34 years, male, white, stage:Stage II, alive, 6210 days 3033.0
TCGA-2G-AAFJ-01A 23 years, male, asian, stage:'--, alive, 792 days 3025.4
TCGA-2G-AAH2-01A 20 years, male, white, stage:Stage IS, alive, 6060 days 2938.2
TCGA-XE-AAOF-01A 50 years, male, asian, stage:Stage IA, alive, 1268 days 2935.5
TCGA-2G-AAGE-01A 21 years, male, white, stage:Stage IS, alive, 2478 days 2932.4
TCGA-2G-AAFL-01A 35 years, male, white, stage:Stage IB, alive, 750 days 2909.1
TCGA-YU-A912-01A 34 years, male, black or african american, stage:Stage IIIC, alive, 866 days 2873.7
TCGA-YU-AA61-01A 29 years, male, white, stage:Stage IS, alive, 864 days 2872.9
TCGA-2G-AAG8-01A 21 years, male, white, stage:Stage IB, alive, 2289 days 2856.5
TCGA-WZ-A7V4-01A 28 years, male, white, stage:Stage I, alive, 894 days 2823.6
TCGA-2G-AAGX-01A 22 years, male, white, stage:Stage IA, alive, 5514 days 2738.8
TCGA-2G-AAGV-01A 23 years, male, white, stage:'--, alive, 4527 days 2730.9
TCGA-XE-AAOL-01A 38 years, male, black or african american, stage:Stage I, alive, 13 days 2727.6
TCGA-XY-A8S2-01A 67 years, male, white, stage:Stage I, alive, 672 days 2694.1
TCGA-YU-A94I-01A 66 years, male, stage:Stage IA, alive, 536 days 2532.1
TCGA-2G-AAG7-01A 33 years, male, white, stage:Stage IS, alive, 2475 days 2484.9
TCGA-2G-AAGY-01A 28 years, male, white, stage:Stage IS, alive, 5329 days 2468.4
TCGA-2G-AAFH-01A 38 years, male, white, stage:Stage IIB, alive, 1375 days 2432.1
TCGA-ZM-AA0E-01A 39 years, male, white, stage:Stage IA, alive, 811 days 2260.1
TCGA-2X-A9D5-01A 49 years, male, white, stage:Stage I, alive, 435 days 2256.1
TCGA-ZM-AA0D-01A 34 years, male, white, stage:Stage IA, alive, 848 days 2232.7
TCGA-XE-A9SE-01A 35 years, male, white, stage:Stage IA, alive, 708 days 2144.6
TCGA-SN-A6IS-01A 26 years, male, white, stage:Stage IS, alive, 496 days 2131.5
TCGA-XE-AANI-01A 37 years, male, white, stage:Stage IS, alive, 1041 days 2129.3
TCGA-ZM-AA0B-01A 32 years, male, white, stage:Stage IA, alive, 838 days 2094.5
TCGA-XY-A89B-01A 35 years, male, white, stage:Stage IA, alive, 471 days 1989.9
TCGA-X3-A8G4-01A 33 years, male, white, stage:Stage IS, alive, 856 days 1909.2
TCGA-2G-AAHT-01A 32 years, male, white, stage:Stage IS, alive, 542 days 1873.6
TCGA-ZM-AA0H-01A 50 years, male, white, stage:Stage IS, alive, 1736 days 1860.8
TCGA-W4-A7U3-01A 26 years, male, white, stage:'--, alive, 149 days 1857.3
TCGA-2G-AAGP-01A 33 years, male, white, stage:Stage IIA, alive, 4018 days 1831.9
TCGA-ZM-AA06-01A 45 years, male, white, stage:Stage IB, alive, 1498 days 1789.8
TCGA-XE-AAOB-01A 27 years, male, white, stage:Stage IS, dead, 513 days 1556.7
TCGA-XY-A9T9-01A 37 years, male, white, stage:Stage IS, alive, 281 days 1514.7
TCGA-ZM-AA0F-01A 35 years, male, white, stage:Stage IA, alive, 681 days 1423.6
TCGA-ZM-AA05-01A 36 years, male, white, stage:Stage IIC, alive, 1126 days 1151.6
TCGA-ZM-AA0N-01A 44 years, male, white, stage:Stage IB, alive, 634 days 1132.7
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, 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 HPA030449

Antibody CAB037301
 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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