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  • SUMMARY

  • TISSUE

  • BRAIN

  • SINGLE CELL

  • SUBCELL

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  • STRUCT & INT

  • STMN1
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.

STMN1 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.

: 807.76
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 839.6
Number of samples 133
Samples
Sample Description pTPM
TCGA-2G-AAHT-01A 32 years, male, white, stage:Stage IS, alive, 542 days 2143.8
TCGA-2G-AAKL-01A 26 years, male, white, stage:Stage II, alive, 7023 days 2062.8
TCGA-VF-A8A8-01A 18 years, male, white, stage:Stage IA, alive, 1131 days 1921.1
TCGA-2G-AAGF-01A 28 years, male, white, stage:Stage IS, alive, 2734 days 1880.7
TCGA-2G-AAGW-01A 38 years, male, white, stage:Stage IS, alive, 4899 days 1778.5
TCGA-2G-AAKM-01A 14 years, male, white, stage:Stage II, dead, 6972 days 1763.3
TCGA-W4-A7U4-01A 23 years, male, white, stage:'--, alive, 738 days 1703.9
TCGA-2G-AAH3-01A 20 years, male, white, stage:Stage I, alive, 1822 days 1662.1
TCGA-2G-AAL5-01A 31 years, male, white, stage:Stage I, alive, 7437 days 1594.4
TCGA-2G-AAG0-01A 23 years, male, white, stage:Stage IS, alive, 1529 days 1528.7
TCGA-XE-AAOJ-01A 24 years, male, white, stage:Stage IS, alive, 1550 days 1484.4
TCGA-2G-AAGN-01A 41 years, male, white, stage:Stage IIIB, alive, 3656 days 1453.2
TCGA-2G-AAL7-01A 32 years, male, white, stage:Stage IS, alive, 3991 days 1449.2
TCGA-2G-AAGY-01A 28 years, male, white, stage:Stage IS, alive, 5329 days 1382.1
TCGA-2G-AAGJ-01A 28 years, male, black or african american, stage:Stage IA, alive, 2938 days 1378.2
TCGA-2G-AAGK-01A 20 years, male, white, stage:Stage IS, alive, 3621 days 1325.4
TCGA-2G-AAKG-01A 22 years, male, white, stage:Stage I, alive, 6598 days 1295.0
TCGA-4K-AA1G-01A 34 years, male, white, stage:Stage IS, alive, 436 days 1259.1
TCGA-2G-AAKH-01A 19 years, male, white, stage:Stage II, alive, 6862 days 1246.4
TCGA-2G-AAKD-01A 18 years, male, white, stage:Stage III, alive, 6340 days 1218.8
TCGA-SN-A84Y-01A 18 years, male, white, stage:Stage IS, alive, 524 days 1189.7
TCGA-2G-AAGC-01A 28 years, male, white, stage:Stage IS, alive, 2585 days 1170.6
TCGA-2G-AAH4-01A 34 years, male, white, stage:Stage II, alive, 6210 days 1142.8
TCGA-2G-AAFE-01A 37 years, male, white, stage:Stage IIA, alive, 4702 days 1141.1
TCGA-2G-AAGA-01A 38 years, male, white, stage:Stage IIA, alive, 2439 days 1083.3
TCGA-XE-A8H5-01A 29 years, male, stage:Stage IS, alive, 1217 days 1079.6
TCGA-YU-A90W-01A 45 years, male, white, stage:Stage IA, alive, 1113 days 1074.4
TCGA-2G-AAGO-01A 41 years, male, white, stage:Stage IS, alive, 4026 days 1059.2
TCGA-YU-A90P-01A 25 years, male, white, stage:Stage IA, alive, 2069 days 1040.6
TCGA-YU-A90Q-01A 21 years, male, stage:Stage IB, alive, 1964 days 1005.2
TCGA-2G-AAGE-01A 21 years, male, white, stage:Stage IS, alive, 2478 days 1001.9
TCGA-XE-AAO4-01A 40 years, male, white, stage:Stage IA, alive, 367 days 1001.1
TCGA-2G-AAHP-01A 31 years, male, white, stage:Stage IS, alive, 5667 days 998.6
TCGA-2G-AAFG-01A 30 years, male, white, stage:Stage IS, alive, 6183 days 996.9
TCGA-2G-AAFL-01A 35 years, male, white, stage:Stage IB, alive, 750 days 989.5
TCGA-XE-AAO3-01A 33 years, male, asian, stage:Stage I, alive, 2857 days 983.9
TCGA-2G-AAFV-01A 31 years, male, white, stage:Stage IS, alive, 1389 days 979.5
TCGA-2G-AAGM-01A 51 years, male, white, stage:Stage IS, alive, 3891 days 978.9
TCGA-2G-AAFI-01A 41 years, male, white, stage:Stage IB, alive, 675 days 973.9
TCGA-2G-AAGZ-01A 27 years, male, white, stage:Stage IIIA, alive, 5233 days 957.2
TCGA-2G-AAFJ-01A 23 years, male, asian, stage:'--, alive, 792 days 952.8
TCGA-YU-A912-01A 34 years, male, black or african american, stage:Stage IIIC, alive, 866 days 952.4
TCGA-2G-AAHG-01A 25 years, male, white, stage:Stage I, alive, 1819 days 920.5
TCGA-XE-AAO6-01A 47 years, male, white, stage:Stage IA, alive, 240 days 915.3
TCGA-XE-AANJ-01A 39 years, male, white, stage:Stage IS, alive, 2007 days 906.1
TCGA-XE-AAOC-01A 31 years, male, white, stage:Stage IA, alive, 270 days 903.2
TCGA-XE-AAOF-01A 50 years, male, asian, stage:Stage IA, alive, 1268 days 901.7
TCGA-WZ-A7V3-01A 20 years, male, white, stage:Stage I, alive, 753 days 900.1
TCGA-2G-AAFO-01A 33 years, male, white, stage:Stage IIA, alive, 685 days 897.2
TCGA-XE-A8H1-01A 24 years, male, white, stage:Stage IS, alive, 209 days 888.8
TCGA-VF-A8AC-01A 29 years, male, white, stage:Stage IA, alive, 1083 days 887.3
TCGA-2G-AAF4-01A 30 years, male, white, stage:Stage I, alive, 2315 days 886.6
TCGA-YU-A94D-01A 28 years, male, stage:Stage IIIB, alive, 2167 days 876.1
TCGA-2G-AAEX-01A 38 years, male, white, stage:Stage IS, alive, 1259 days 872.8
TCGA-XE-A9SE-01A 35 years, male, white, stage:Stage IA, alive, 708 days 863.7
TCGA-2G-AAGT-01A 30 years, male, white, stage:Stage IS, alive, 4406 days 861.3
TCGA-2G-AAHL-01A 26 years, male, white, stage:Stage I, alive, 7081 days 841.4
TCGA-2G-AAHN-01A 32 years, male, white, stage:Stage I, alive, 6445 days 838.9
TCGA-2X-A9D6-01A 42 years, male, white, stage:Stage I, alive, 607 days 829.2
TCGA-2G-AAG7-01A 33 years, male, white, stage:Stage IS, alive, 2475 days 820.7
TCGA-SO-A8JP-01A 29 years, male, white, stage:Stage I, alive, 540 days 820.3
TCGA-SN-A6IS-01A 26 years, male, white, stage:Stage IS, alive, 496 days 807.8
TCGA-2G-AAEW-01A 31 years, male, white, stage:Stage IS, dead, 618 days 807.2
TCGA-2G-AAFM-01A 31 years, male, white, stage:Stage IIA, alive, 503 days 805.5
TCGA-2G-AAF1-01A 28 years, male, asian, stage:Stage IS, alive, 1403 days 805.3
TCGA-2G-AAH8-01A 45 years, male, white, stage:Stage IIIC, alive, 2248 days 804.0
TCGA-S6-A8JX-01A 27 years, male, white, stage:Stage IB, alive, 552 days 803.4
TCGA-2G-AAG8-01A 21 years, male, white, stage:Stage IB, alive, 2289 days 799.4
TCGA-2G-AAFZ-01A 32 years, male, white, stage:Stage III, alive, 1353 days 784.5
TCGA-2X-A9D5-01A 49 years, male, white, stage:Stage I, alive, 435 days 781.3
TCGA-XY-A8S2-01A 67 years, male, white, stage:Stage I, alive, 672 days 779.7
TCGA-VF-A8AA-01A 51 years, male, white, stage:Stage I, alive, 1146 days 770.0
TCGA-YU-AA4L-01A 27 years, male, black or african american, stage:Stage IIIC, alive, 1573 days 757.9
TCGA-2G-AAGX-01A 22 years, male, white, stage:Stage IA, alive, 5514 days 741.1
TCGA-YU-A90Y-01A 23 years, male, black or african american, stage:Stage IIIC, dead, 17 days 741.0
TCGA-2G-AAF8-01A 33 years, male, white, stage:Stage IA, alive, 3911 days 740.2
TCGA-S6-A8JY-01A 27 years, male, white, stage:Stage IS, alive, 278 days 739.9
TCGA-2G-AAFN-01A 26 years, male, white, stage:Stage IIIB, alive, 773 days 732.3
TCGA-VF-A8A9-01A 31 years, male, white, stage:Stage IA, alive, 1119 days 726.5
TCGA-2G-AAFY-01A 24 years, male, white, stage:Stage IIA, alive, 1099 days 724.3
TCGA-2G-AAHC-01A 33 years, male, white, stage:Stage IS, alive, 5539 days 720.3
TCGA-2G-AAG9-01A 25 years, male, white, stage:Stage IIIB, alive, 2234 days 715.2
TCGA-2G-AALP-01A 43 years, male, white, stage:Stage IIIB, alive, 2645 days 710.9
TCGA-SB-A6J6-01A 22 years, male, white, stage:Stage IA, alive, 413 days 686.9
TCGA-2G-AAHA-01A 48 years, male, white, stage:Stage IB, alive, 3349 days 685.9
TCGA-ZM-AA0D-01A 34 years, male, white, stage:Stage IA, alive, 848 days 684.8
TCGA-S6-A8JW-01A 37 years, male, white, stage:Stage IS, alive, 698 days 671.4
TCGA-4K-AAAL-01A 31 years, male, white, stage:Stage IS, alive, 483 days 659.9
TCGA-XE-AANV-01A 52 years, male, stage:Stage IB, alive, 1701 days 648.7
TCGA-XE-AANR-01A 23 years, male, white, stage:Stage I, alive, 14 days 642.9
TCGA-2G-AAGS-01A 39 years, male, white, stage:Stage IIIB, alive, 4816 days 637.9
TCGA-XY-A9T9-01A 37 years, male, white, stage:Stage IS, alive, 281 days 630.9
TCGA-2G-AAFH-01A 38 years, male, white, stage:Stage IIB, alive, 1375 days 605.2
TCGA-XE-A8H4-01A 23 years, male, white, stage:Stage IA, alive, 559 days 601.3
TCGA-VF-A8AD-01A 36 years, male, white, stage:Stage IB, alive, 1006 days 592.9
TCGA-YU-A94I-01A 66 years, male, stage:Stage IA, alive, 536 days 572.0
TCGA-SN-A84W-01A 30 years, male, white, stage:Stage IS, alive, 293 days 571.9
TCGA-VF-A8AE-01A 39 years, male, white, stage:Stage IA, alive, 727 days 565.9
TCGA-2G-AAF6-01A 28 years, male, white, stage:Stage IS, alive, 3491 days 564.6
TCGA-2G-AAH0-01A 30 years, male, white, stage:Stage IS, alive, 5477 days 563.2
TCGA-WZ-A7V4-01A 28 years, male, white, stage:Stage I, alive, 894 days 561.9
TCGA-ZM-AA0B-01A 32 years, male, white, stage:Stage IA, alive, 838 days 553.4
TCGA-SB-A76C-01A 38 years, male, white, stage:'--, alive, 42 days 552.2
TCGA-VF-A8AB-01A 31 years, male, black or african american, stage:Stage IA, alive, 760 days 546.4
TCGA-W4-A7U3-01A 26 years, male, white, stage:'--, alive, 149 days 535.4
TCGA-XE-AANI-01A 37 years, male, white, stage:Stage IS, alive, 1041 days 532.6
TCGA-WZ-A7V5-01A 27 years, male, white, stage:Stage I, alive, 1061 days 532.4
TCGA-2G-AAH2-01A 20 years, male, white, stage:Stage IS, alive, 6060 days 532.3
TCGA-W4-A7U2-01A 26 years, male, white, stage:'--, alive, 1263 days 524.8
TCGA-WZ-A8D5-01A 38 years, male, white, stage:'--, alive, 774 days 503.2
TCGA-2G-AAGG-01A 20 years, male, white, stage:Stage IIIC, alive, 2611 days 496.8
TCGA-YU-AA61-01A 29 years, male, white, stage:Stage IS, alive, 864 days 494.9
TCGA-X3-A8G4-01A 33 years, male, white, stage:Stage IS, alive, 856 days 482.0
TCGA-XE-AAOD-01A 39 years, male, white, stage:Stage IB, alive, 2058 days 470.2
TCGA-SN-A84X-01A 21 years, male, white, stage:Stage IS, alive, 312 days 459.2
TCGA-4K-AA1H-01A 26 years, male, white, stage:Stage IA, alive, 518 days 455.8
TCGA-2G-AAG3-01A 53 years, male, white, stage:Stage IS, alive, 1593 days 445.9
TCGA-2G-AAGI-01A 33 years, male, white, stage:Stage IS, alive, 3137 days 443.1
TCGA-4K-AA1I-01A 26 years, male, white, stage:Stage IA, alive, 3 days 426.0
TCGA-XY-A89B-01A 35 years, male, white, stage:Stage IA, alive, 471 days 355.7
TCGA-XE-AAOB-01A 27 years, male, white, stage:Stage IS, dead, 513 days 349.1
TCGA-ZM-AA0N-01A 44 years, male, white, stage:Stage IB, alive, 634 days 347.8
TCGA-2G-AAG6-01A 24 years, male, white, stage:Stage IS, alive, 2231 days 336.0
TCGA-ZM-AA0E-01A 39 years, male, white, stage:Stage IA, alive, 811 days 326.2
TCGA-2G-AAGP-01A 33 years, male, white, stage:Stage IIA, alive, 4018 days 290.0
TCGA-ZM-AA0H-01A 50 years, male, white, stage:Stage IS, alive, 1736 days 271.3
TCGA-ZM-AA06-01A 45 years, male, white, stage:Stage IB, alive, 1498 days 263.4
TCGA-YU-A90S-01A 26 years, male, white, stage:Stage IA, alive, 971 days 260.5
TCGA-2G-AAG5-01A 36 years, male, white, stage:Stage IS, alive, 2299 days 258.8
TCGA-XE-AAOL-01A 38 years, male, black or african american, stage:Stage I, alive, 13 days 212.4
TCGA-2G-AAGV-01A 23 years, male, white, stage:'--, alive, 4527 days 212.3
TCGA-ZM-AA0F-01A 35 years, male, white, stage:Stage IA, alive, 681 days 172.0
TCGA-ZM-AA05-01A 36 years, male, white, stage:Stage IIC, alive, 1126 days 168.3
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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.

 

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 HPA068438

Antibody CAB010107
 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
Seminoma, NOS
Seminoma, NOS
Carcinoma, Embryonal, NOS
Carcinoma, Embryonal, NOS
Carcinoma, Embryonal, NOS
Teratoma, malignant, NOS

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