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SNRPD2
HPA
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  • SUMMARY

  • TISSUE

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  • STRUCT & INT

  • SNRPD2
CANCER LIVER 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
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (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.

SNRPD2 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (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.

: 369.34
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 405.9
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 11591.8
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 2441.9
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 2053.4
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 2032.1
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1365.3
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1132.1
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1127.3
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 1063.6
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 1041.1
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1036.7
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1021.4
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 937.1
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 892.9
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 880.1
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 872.8
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 867.8
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 862.8
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 853.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 838.0
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 830.2
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 803.0
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 787.4
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 775.6
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 774.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 760.1
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 750.2
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 734.2
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 732.0
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 725.2
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 720.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 707.1
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 704.2
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 694.1
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 673.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 652.8
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 647.3
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 630.6
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 623.7
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 623.6
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 621.0
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 616.7
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 615.8
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 614.6
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 609.6
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 607.0
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 592.4
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 584.5
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 580.2
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 578.7
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 576.8
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 574.7
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 574.5
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 573.3
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 571.4
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 567.3
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 564.0
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 553.1
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 547.5
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 538.8
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 538.5
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 535.1
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 528.1
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 523.3
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 521.4
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 516.4
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 515.0
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 509.4
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 497.2
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 497.1
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 494.5
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 493.4
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 493.3
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 490.4
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 488.2
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 483.7
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 483.5
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 479.9
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 477.1
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 474.4
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 472.2
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 466.1
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 461.6
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 461.3
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 458.2
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 448.0
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 446.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 432.5
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 431.3
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 430.8
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 430.2
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 428.4
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 426.8
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 424.7
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 424.6
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 419.3
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 418.4
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 417.9
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 415.9
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 412.8
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 410.2
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 406.7
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 406.5
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 406.3
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 401.9
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 399.4
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 399.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 397.3
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 397.0
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 395.0
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 394.8
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 393.6
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 393.3
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 392.7
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 391.7
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 390.1
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 386.5
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 385.9
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 384.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 383.2
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 383.2
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 382.0
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 379.6
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 378.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 374.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 373.2
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 371.8
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 370.2
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 368.5
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 367.7
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 365.6
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 365.3
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 365.2
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 365.2
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 365.1
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 362.2
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 361.3
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 360.0
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 357.6
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 351.4
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 350.8
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 345.7
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 344.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 344.2
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 343.9
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 343.5
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 343.0
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 342.5
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 341.0
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 340.8
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 339.2
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 338.6
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 338.5
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 335.7
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 335.6
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 335.6
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 333.3
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 333.1
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 330.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 330.2
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 329.7
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 328.5
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 328.4
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 322.8
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 322.4
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 321.8
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 320.3
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 320.3
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 318.6
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 318.6
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 315.5
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 315.0
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 314.9
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 312.3
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 312.3
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 307.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 307.3
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 306.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 306.3
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 306.3
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 306.1
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 305.7
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 305.6
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 305.5
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 304.1
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 303.7
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 303.4
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 303.4
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 301.3
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 301.1
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 298.2
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 296.3
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 294.9
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 291.8
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 289.2
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 289.1
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 288.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 288.3
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 285.5
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 285.2
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 284.3
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 283.9
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 283.6
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 283.2
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 281.8
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 281.5
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 279.9
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 279.1
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 277.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 277.4
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 277.3
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 276.1
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 273.4
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 272.2
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 271.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 270.8
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 270.6
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 270.5
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 270.3
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 270.0
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 269.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 269.7
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 269.0
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 268.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 265.9
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 263.7
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 261.8
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 261.3
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 257.7
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 257.0
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 256.8
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 256.5
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 256.1
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 253.3
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 253.3
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 252.9
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 252.8
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 252.4
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 252.2
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 252.1
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 251.9
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 251.6
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 251.5
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 250.4
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 250.2
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 250.0
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 249.7
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 249.6
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 247.3
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 246.4
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 246.3
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 246.2
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 244.3
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 241.7
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 241.6
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 241.5
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 239.6
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 239.4
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 239.1
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 239.0
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 238.9
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 238.4
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 237.8
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 236.8
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 236.2
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 235.7
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 235.1
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 230.4
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 230.2
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 230.1
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 229.9
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 226.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 226.6
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 226.5
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 225.6
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 225.4
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 225.0
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 224.9
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 224.9
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 224.0
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 222.5
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 220.2
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 219.9
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 218.8
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 218.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 216.6
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 214.8
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 214.5
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 213.6
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 212.9
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 212.5
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 210.6
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 209.9
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 209.3
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 208.8
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 207.4
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 206.8
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 206.0
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 205.0
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 204.8
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 204.8
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 203.6
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 203.5
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 202.3
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 202.0
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 200.7
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 200.5
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 199.5
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 198.8
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 198.6
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 198.2
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 197.8
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 194.2
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 193.2
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 192.9
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 191.5
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 190.7
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 187.1
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 187.0
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 186.3
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 186.0
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 184.5
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 183.6
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 179.1
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 178.7
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 174.5
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 173.8
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 173.3
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 168.2
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 167.7
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 167.0
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 165.0
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 162.8
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 162.7
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 161.5
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 161.4
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 161.3
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 158.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 158.1
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 155.5
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 154.9
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 154.7
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 151.5
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 150.0
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 149.8
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 149.2
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 146.4
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 142.4
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 138.9
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 137.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 135.9
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 131.6
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 131.5
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 130.1
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 129.5
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 128.9
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 126.8
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 126.3
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 124.9
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 120.7
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 120.0
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 109.6
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 105.6
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - 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.

SNRPD2 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)


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.

: 267.11
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 231.3
Number of samples 231
Samples
Sample Description pTPM
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1519.8
DO50844 75 years, male, NA, stage:4, alive, 300 days 920.1
DO45211 76 years, male, NA, stage:3, alive, 240 days 737.0
DO45289 78 years, female, NA, stage:3, alive, 360 days 719.1
DO45285 59 years, male, NA, stage:3, alive, 480 days 670.3
DO48747 62 years, male, NA, stage:3, alive, 540 days 626.8
DO50799 66 years, female, NA, stage:2, alive, 540 days 600.0
DO45245 75 years, female, NA, stage:2, dead, 240 days 584.3
DO23526 66 years, male, NA, stage:3, alive, 1050 days 577.1
DO45307 54 years, female, NA, stage:4, dead, 240 days 571.2
DO45185 89 years, male, NA, stage:2, alive, 600 days 546.8
DO45283 60 years, male, NA, stage:3, alive, 510 days 535.1
DO48741 64 years, male, NA, stage:3, alive, 240 days 516.4
DO23508 79 years, female, NA, stage:2, alive, 390 days 475.2
DO45145 78 years, male, NA, stage:3, dead, 60 days 464.2
DO23519 65 years, male, NA, stage:3, alive, 630 days 449.3
DO50829 78 years, male, NA, stage:3, alive, 570 days 445.3
DO50791 79 years, female, NA, stage:1, dead, 480 days 442.3
DO45305 66 years, male, NA, stage:4, alive, 300 days 432.3
DO45275 65 years, male, NA, stage:3, dead, 10 days 430.8
DO50815 62 years, male, NA, stage:3, alive, 150 days 424.7
DO45259 65 years, male, NA, stage:3, alive, 330 days 417.3
DO45277 64 years, male, NA, stage:3, alive, 600 days 415.7
DO45297 61 years, female, NA, stage:4, dead, 1260 days 412.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 412.2
DO45209 70 years, male, NA, stage:4, alive, 1350 days 398.4
DO45269 59 years, male, NA, stage:3, alive, 750 days 396.5
DO45127 73 years, male, NA, stage:3, dead, 420 days 392.8
DO23545 67 years, male, NA, stage:2, dead, 570 days 389.8
DO23515 71 years, male, NA, stage:2, alive, 1230 days 387.7
DO45301 56 years, male, NA, stage:2, dead, 1440 days 384.2
DO50814 83 years, male, NA, stage:3, alive, 420 days 378.3
DO45205 67 years, female, NA, stage:2, dead, 90 days 377.6
DO50806 70 years, male, NA, stage:4, alive, 540 days 355.7
DO50778 60 years, male, NA, stage:4, alive, 630 days 351.3
DO45287 74 years, male, NA, stage:1, alive, 390 days 349.0
DO48697 64 years, female, NA, stage:2, dead, 810 days 342.1
DO45303 62 years, female, NA, stage:3, alive, 990 days 331.4
DO48737 52 years, male, NA, stage:1, alive, 720 days 329.3
DO45189 85 years, female, NA, stage:2, alive, 1200 days 326.0
DO45217 69 years, female, NA, stage:3, dead, 270 days 323.4
DO50825 70 years, male, NA, stage:2, alive, 390 days 310.6
DO50785 37 years, male, NA, stage:4, dead, 90 days 310.3
DO23511 83 years, female, NA, stage:3, dead, 180 days 304.8
DO45251 57 years, female, NA, stage:2, alive, 900 days 302.4
DO45155 69 years, male, NA, stage:2, alive, 2160 days 298.9
DO45249 57 years, male, NA, stage:1, alive, 630 days 291.8
DO45092 62 years, male, NA, stage:4, dead, 1200 days 286.2
DO50809 56 years, male, NA, stage:3, dead, 720 days 276.4
DO23530 53 years, male, NA, stage:4, dead, 180 days 275.6
DO23525 71 years, male, NA, stage:4, alive, 1050 days 274.0
DO48717 54 years, male, NA, stage:4, dead, 180 days 273.0
DO45093 71 years, male, NA, stage:2, dead, 720 days 272.6
DO23537 79 years, male, NA, stage:2, dead, 900 days 271.1
DO45221 75 years, female, NA, stage:4, dead, 390 days 267.1
DO48723 73 years, male, NA, stage:1, alive, 600 days 261.7
DO45279 67 years, male, NA, stage:3, alive, 1290 days 261.4
DO45139 63 years, male, NA, stage:3, alive, 1320 days 259.5
DO48732 73 years, male, NA, stage:3, alive, 630 days 256.3
DO23513 76 years, male, NA, stage:3, alive, 1200 days 255.4
DO45273 62 years, male, NA, stage:2, alive, 480 days 253.9
DO45265 73 years, male, NA, stage:3, alive, 1020 days 251.8
DO48759 73 years, male, NA, stage:3, alive, 720 days 247.1
DO48681 57 years, male, NA, stage:2, alive, 900 days 246.6
DO45131 53 years, male, NA, stage:4, dead, 360 days 246.4
DO45095 66 years, male, NA, stage:2, alive, 1620 days 245.4
DO50839 47 years, female, NA, stage:3, alive, 330 days 243.8
DO45119 74 years, male, NA, stage:3, dead, 510 days 243.1
DO45161 74 years, male, NA, stage:2, dead, 540 days 241.8
DO45099 46 years, male, NA, stage:3, alive, 1590 days 239.7
DO45281 83 years, male, NA, stage:4, alive, 750 days 239.4
DO48757 68 years, female, NA, stage:3, alive, 480 days 239.4
DO23540 73 years, male, NA, stage:1, alive, 750 days 238.8
DO45231 84 years, male, NA, stage:2, alive, 930 days 237.0
DO48715 58 years, female, NA, stage:2, dead, 690 days 236.6
DO48679 72 years, male, NA, stage:2, alive, 1200 days 236.5
DO23523 52 years, male, NA, stage:3, alive, 1080 days 235.3
DO45135 77 years, male, NA, stage:1, alive, 1410 days 233.0
DO45173 63 years, male, NA, stage:3, alive, 1170 days 229.4
DO23547 74 years, male, NA, stage:1, alive, 1020 days 226.9
DO50855 47 years, male, NA, stage:2, alive, 570 days 226.0
DO50802 49 years, male, NA, stage:2, alive, 930 days 224.3
DO48720 62 years, female, NA, stage:2, alive, 570 days 223.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 223.0
DO45103 47 years, male, NA, stage:3, alive, 450 days 221.6
DO45263 67 years, male, NA, stage:3, dead, 270 days 219.8
DO23539 77 years, male, NA, stage:1, alive, 1110 days 219.1
DO50840 49 years, male, NA, stage:2, alive, 330 days 215.2
DO23516 69 years, male, NA, stage:3, dead, 20 days 215.0
DO48682 72 years, female, NA, stage:3, dead, 120 days 211.8
DO23514 64 years, male, NA, stage:2, alive, 1290 days 211.3
DO48721 58 years, female, NA, stage:1, alive, 900 days 211.2
DO50832 73 years, male, NA, stage:3, alive, 90 days 208.9
DO45165 75 years, male, NA, stage:2, alive, 690 days 207.6
DO45237 58 years, male, NA, stage:2, alive, 900 days 207.3
DO45219 78 years, male, NA, stage:2, alive, 1080 days 207.1
DO50805 72 years, male, NA, stage:2, alive, 690 days 205.7
DO50859 77 years, male, NA, stage:2, alive, 180 days 205.0
DO45097 69 years, male, NA, stage:3, alive, 1620 days 204.1
DO45169 74 years, male, NA, stage:3, alive, 1350 days 203.5
DO48751 68 years, male, NA, stage:2, dead, 480 days 201.0
DO23552 80 years, female, NA, stage:1, alive, 810 days 200.3
DO45143 69 years, male, NA, stage:3, alive, 1290 days 199.3
DO50857 72 years, male, NA, stage:2, alive, 210 days 198.2
DO48701 78 years, male, NA, stage:2, alive, 780 days 197.2
DO23510 80 years, female, NA, stage:2, alive, 870 days 195.9
DO45239 42 years, male, NA, stage:2, alive, 870 days 195.0
DO48725 66 years, male, NA, stage:1, alive, 780 days 194.4
DO50783 62 years, male, NA, stage:3, alive, 480 days 192.4
DO23524 71 years, female, NA, stage:2, alive, 1050 days 191.3
DO45193 68 years, female, NA, stage:4, dead, 120 days 190.9
DO45183 72 years, female, NA, stage:2, dead, 570 days 189.7
DO45179 78 years, female, NA, stage:2, alive, 600 days 189.4
DO45213 58 years, male, NA, stage:1, alive, 1200 days 188.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 188.6
DO23536 56 years, male, NA, stage:2, alive, 930 days 188.3
DO48730 73 years, female, NA, stage:2, alive, 630 days 188.2
DO48700 78 years, female, NA, stage:2, alive, 810 days 186.5
DO23541 65 years, male, NA, stage:2, alive, 930 days 186.2
DO50808 68 years, male, NA, stage:2, alive, 570 days 183.4
DO45199 86 years, female, NA, stage:2, alive, 1350 days 183.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 181.2
DO45109 63 years, male, NA, stage:2, alive, 1590 days 178.4
DO45235 68 years, female, NA, stage:1, alive, 900 days 177.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 175.6
DO48728 74 years, female, NA, stage:2, alive, 150 days 175.6
DO45175 74 years, male, NA, stage:2, alive, 1140 days 174.4
DO50822 66 years, male, NA, stage:2, alive, 510 days 172.1
DO23542 66 years, male, NA, stage:3, alive, 960 days 171.8
DO45141 73 years, male, NA, stage:2, alive, 1320 days 170.6
DO48736 76 years, female, NA, stage:1, alive, 600 days 170.6
DO50776 75 years, male, NA, stage:1, alive, 690 days 170.5
DO23549 74 years, male, NA, stage:3, alive, 990 days 170.3
DO45223 67 years, male, NA, stage:4, alive, 1020 days 169.5
DO45091 56 years, male, NA, stage:2, dead, 1320 days 168.8
DO50820 77 years, female, NA, stage:3, alive, 510 days 167.8
DO50800 74 years, male, NA, stage:2, alive, 510 days 167.8
DO45105 61 years, male, NA, stage:1, alive, 1680 days 167.3
DO23535 67 years, male, NA, stage:1, alive, 960 days 167.3
DO45253 50 years, male, NA, stage:2, alive, 870 days 165.6
DO45153 77 years, female, NA, stage:2, alive, 1380 days 161.9
DO50819 72 years, female, NA, stage:2, alive, 510 days 161.8
DO45187 32 years, female, NA, stage:1, alive, 1260 days 161.1
DO45255 81 years, male, NA, stage:3, alive, 720 days 159.7
DO50813 56 years, male, NA, stage:2, alive, 420 days 159.6
DO45257 46 years, male, NA, stage:3, alive, 810 days 158.4
DO45243 74 years, female, NA, stage:3, alive, 930 days 158.3
DO45113 58 years, male, NA, stage:3, alive, 1560 days 158.3
DO45163 76 years, male, NA, stage:2, alive, 960 days 157.6
DO45267 73 years, male, NA, stage:3, dead, 570 days 157.1
DO23546 63 years, male, NA, stage:2, alive, 1050 days 156.7
DO45241 49 years, male, NA, stage:1, alive, 1080 days 155.3
DO50798 77 years, male, NA, stage:3, dead, 30 days 154.9
DO45157 62 years, male, NA, stage:2, alive, 1980 days 154.8
DO50811 62 years, male, NA, stage:1, alive, 450 days 154.8
DO23548 78 years, female, NA, stage:1, alive, 840 days 154.5
DO50789 73 years, female, NA, stage:2, alive, 570 days 154.2
DO45171 56 years, male, NA, stage:3, alive, 600 days 154.1
DO50845 72 years, male, NA, stage:3, alive, 210 days 152.6
DO45225 69 years, male, NA, stage:1, alive, 1050 days 151.6
DO48716 71 years, male, NA, stage:2, alive, 720 days 151.5
DO45115 81 years, male, NA, stage:2, alive, 840 days 151.4
DO45261 74 years, male, NA, stage:3, alive, 990 days 148.9
DO45197 51 years, male, NA, stage:2, alive, 1170 days 147.4
DO45123 78 years, female, NA, stage:2, dead, 570 days 146.7
DO48704 68 years, female, NA, stage:3, alive, 750 days 146.4
DO23550 69 years, male, NA, stage:1, alive, 990 days 145.0
DO48693 71 years, male, NA, stage:2, alive, 900 days 144.4
DO45229 74 years, male, NA, stage:1, alive, 990 days 144.0
DO23529 72 years, male, NA, stage:4, alive, 930 days 143.9
DO23543 63 years, male, NA, stage:2, alive, 1020 days 143.8
DO48695 77 years, male, NA, stage:2, alive, 720 days 143.6
DO23528 45 years, female, NA, stage:2, alive, 1020 days 141.3
DO45201 49 years, male, NA, stage:1, alive, 900 days 140.5
DO45203 71 years, female, NA, stage:2, alive, 1170 days 140.5
DO45191 61 years, female, NA, stage:2, alive, 1200 days 140.4
DO45137 38 years, male, NA, stage:1, alive, 1320 days 139.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 139.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 137.2
DO50793 76 years, male, NA, stage:4, alive, 540 days 136.9
DO48746 76 years, male, NA, stage:3, alive, 570 days 136.1
DO48743 69 years, female, NA, stage:2, alive, 570 days 135.6
DO227801 77 years, female, NA, stage:1, alive, 660 days 135.6
DO48706 72 years, male, NA, stage:2, alive, 870 days 135.3
DO45117 73 years, female, NA, stage:2, dead, 1110 days 135.2
DO50816 63 years, male, NA, stage:2, alive, 390 days 133.9
DO45247 31 years, female, NA, stage:2, alive, 210 days 132.4
DO23509 60 years, male, NA, stage:3, dead, 780 days 131.2
DO45096 69 years, male, NA, stage:2, dead, 1290 days 130.4
DO45111 74 years, male, NA, stage:2, alive, 1590 days 129.4
DO45129 61 years, male, NA, stage:3, alive, 1470 days 129.0
DO45177 81 years, female, NA, stage:3, alive, 1260 days 128.5
DO23534 60 years, male, NA, stage:2, alive, 840 days 126.8
DO45121 61 years, male, NA, stage:3, alive, 1530 days 120.1
DO23527 72 years, male, NA, stage:1, alive, 1050 days 118.8
DO23532 71 years, female, NA, stage:1, alive, 960 days 118.1
DO50804 81 years, male, NA, stage:2, alive, 720 days 117.9
DO48677 58 years, male, NA, stage:3, alive, 1140 days 117.2
DO50803 62 years, female, NA, stage:1, alive, 540 days 116.6
DO50774 68 years, female, NA, stage:2, alive, 720 days 116.0
DO50818 65 years, male, NA, stage:2, alive, 510 days 115.6
DO45133 64 years, male, NA, stage:3, dead, 660 days 115.5
DO23538 67 years, male, NA, stage:2, alive, 450 days 114.7
DO48742 76 years, male, NA, stage:2, alive, 600 days 114.4
DO48712 50 years, male, NA, stage:2, alive, 810 days 114.2
DO48672 81 years, male, NA, stage:2, alive, 450 days 113.7
DO48733 72 years, male, NA, stage:2, alive, 600 days 111.4
DO45233 83 years, male, NA, stage:3, alive, 900 days 110.9
DO45181 84 years, female, NA, stage:2, alive, 1200 days 110.6
DO45159 65 years, male, NA, stage:3, alive, 1470 days 110.3
DO48719 80 years, male, NA, stage:2, alive, 690 days 110.1
DO50817 75 years, male, NA, stage:2, alive, 390 days 109.2
DO48727 81 years, female, NA, stage:2, dead, 390 days 109.0
DO23512 60 years, male, NA, stage:1, alive, 1260 days 107.8
DO45227 57 years, female, NA, stage:2, alive, 1020 days 106.0
DO50807 67 years, male, NA, stage:1, alive, 540 days 105.5
DO23518 67 years, male, NA, stage:2, alive, 1320 days 103.5
DO45107 63 years, female, NA, stage:2, alive, 1710 days 103.3
DO227643 79 years, male, NA, stage:2, alive, 1260 days 98.7
DO50850 74 years, male, NA, stage:3, alive, 720 days 94.4
DO45094 76 years, male, NA, stage:3, alive, 1650 days 89.5
DO23517 62 years, male, NA, stage:2, alive, 1200 days 88.2
DO23544 67 years, male, NA, stage:2, alive, 960 days 85.0
DO45215 65 years, male, NA, stage:2, alive, 1170 days 84.1
DO48674 80 years, male, NA, stage:2, alive, 1260 days 81.1
DO45101 63 years, male, NA, stage:2, alive, 1680 days 79.7
DO23531 78 years, female, NA, stage:3, alive, 900 days 79.5
DO48760 70 years, female, NA, stage:2, alive, 690 days 79.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 74.1
DO23551 73 years, male, NA, stage:3, dead, 150 days 71.9
DO45195 62 years, male, NA, stage:1, alive, 390 days 60.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
497 Tumor 0.7
965 Tumor 0.7
285 Tumor 0.7
131 Tumor 0.7
473 Tumor 0.7
983 Tumor 0.7
743 Tumor 0.6
967 Tumor 0.5
661 Tumor 0.5
1013 Tumor 0.5
865 Tumor 0.5
277 Tumor 0.5
1031 Tumor 0.5
413 Tumor 0.5
951 Tumor 0.5
463 Tumor 0.5
523 Tumor 0.5
545 Tumor 0.5
331 Tumor 0.4
367 Tumor 0.4
517 Tumor 0.4
443 Tumor 0.4
647 Tumor 0.4
537 Tumor 0.4
211 Tumor 0.4
567 Tumor 0.4
385 Tumor 0.4
727 Tumor 0.4
411 Tumor 0.4
355 Tumor 0.3
937 Tumor 0.3
923 Tumor 0.3
425 Tumor 0.3
527 Tumor 0.3
227 Tumor 0.3
737 Tumor 0.3
271 Tumor 0.3
817 Tumor 0.3
957 Tumor 0.3
1021 Tumor 0.3
975 Tumor 0.3
123 Tumor 0.3
695 Tumor 0.3
533 Tumor 0.3
877 Tumor 0.3
161 Tumor 0.3
881 Tumor 0.3
313 Tumor 0.3
943 Tumor 0.3
351 Tumor 0.3
283 Tumor 0.3
513 Tumor 0.3
487 Tumor 0.3
297 Tumor 0.2
357 Tumor 0.2
387 Tumor 0.2
433 Tumor 0.2
467 Tumor 0.2
571 Tumor 0.2
431 Tumor 0.2
977 Tumor 0.2
363 Tumor 0.2
427 Tumor 0.2
455 Tumor 0.2
393 Tumor 0.2
135 Tumor 0.2
917 Tumor 0.2
141 Tumor 0.2
112 Tumor 0.2
535 Tumor 0.2
724 Normal 0.2
815 Tumor 0.2
515 Tumor 0.2
471 Tumor 0.2
147 Tumor 0.2
341 Tumor 0.2
477 Tumor 0.2
963 Tumor 0.2
267 Tumor 0.2
921 Tumor 0.2
663 Tumor 0.1
465 Tumor 0.1
483 Tumor 0.1
375 Tumor 0.1
261 Tumor 0.1
395 Tumor 0.1
493 Tumor 0.1
883 Tumor 0.1
311 Tumor 0.1
461 Tumor 0.1
221 Tumor 0.1
873 Tumor 0.1
447 Tumor 0.1
525 Tumor 0.1
777 Tumor 0.1
715 Tumor 0.1
478 Normal 0.1
697 Tumor 0.1
671 Tumor 0.1
391 Tumor 0.1
785 Tumor 0.1
185 Tumor 0.1
557 Tumor 0.1
553 Tumor 0.1
814 Normal 0.1
953 Tumor 0.1
563 Tumor 0.1
913 Tumor 0.1
1045 Tumor 0.1
113 Tumor 0.0
1043 Tumor 0.0
1015 Tumor 0.0
1025 Tumor 0.0
685 Tumor 0.0
125 Tumor 0.0
857 Tumor 0.0
524 Normal 0.0
944 Normal 0.0
635 Tumor 0.0
481 Tumor 0.0
451 Tumor 0.0
435 Tumor 0.0
423 Tumor 0.0
938 Normal 0.0
383 Tumor 0.0
554 Normal 0.0
137 Tumor 0.0
223 Tumor 0.0
925 Tumor 0.0
851 Tumor 0.0
912 Normal 0.0
538 Normal 0.0
713 Tumor 0.0
954 Normal 0.0
213 Tumor 0.0
534 Normal 0.0
257 Tumor 0.0
415 Tumor -0.1
755 Tumor -0.1
492 Normal -0.1
365 Tumor -0.1
536 Normal -0.1
573 Tumor -0.1
445 Tumor -0.1
964 Normal -0.1
343 Tumor -0.1
955 Tumor -0.1
861 Tumor -0.1
745 Tumor -0.1
498 Normal -0.1
665 Tumor -0.1
981 Tumor -0.1
526 Normal -0.1
813 Tumor -0.1
444 Normal -0.1
491 Tumor -0.1
926 Normal -0.1
867 Tumor -0.1
484 Normal -0.1
878 Normal -0.1
516 Normal -0.1
916 Normal -0.1
976 Normal -0.1
187 Tumor -0.1
696 Normal -0.1
922 Normal -0.1
911 Tumor -0.1
145 Tumor -0.1
958 Normal -0.1
142 Normal -0.1
863 Tumor -0.1
823 Tumor -0.1
518 Normal -0.1
488 Normal -0.1
353 Tumor -0.1
462 Normal -0.1
448 Normal -0.1
1041 Tumor -0.1
698 Normal -0.1
918 Normal -0.1
741 Tumor -0.1
212 Normal -0.1
514 Normal -0.2
217 Tumor -0.2
171 Tumor -0.2
482 Normal -0.2
966 Normal -0.2
744 Normal -0.2
146 Normal -0.2
327 Tumor -0.2
968 Normal -0.2
641 Tumor -0.2
778 Normal -0.2
412 Normal -0.2
924 Normal -0.2
228 Normal -0.2
1014 Normal -0.2
361 Tumor -0.2
231 Tumor -0.2
866 Normal -0.2
284 Normal -0.2
421 Tumor -0.2
434 Normal -0.2
546 Normal -0.2
882 Normal -0.2
721 Tumor -0.2
915 Tumor -0.2
472 Normal -0.2
328 Normal -0.2
224 Normal -0.2
1026 Normal -0.2
858 Normal -0.2
558 Normal -0.2
874 Normal -0.2
648 Normal -0.2
1046 Normal -0.2
352 Normal -0.2
984 Normal -0.2
728 Normal -0.2
1016 Normal -0.2
666 Normal -0.2
268 Normal -0.2
884 Normal -0.2
756 Normal -0.2
617 Tumor -0.3
862 Normal -0.3
494 Normal -0.3
664 Normal -0.3
572 Normal -0.3
852 Normal -0.3
1032 Normal -0.3
466 Normal -0.3
356 Normal -0.3
128 Normal -0.3
978 Normal -0.3
1042 Normal -0.3
364 Normal -0.3
432 Normal -0.3
956 Normal -0.3
864 Normal -0.3
474 Normal -0.3
1028 Normal -0.3
191 Tumor -0.3
723 Tumor -0.3
662 Normal -0.3
344 Normal -0.3
686 Normal -0.3
714 Normal -0.3
738 Normal -0.3
388 Normal -0.3
127 Tumor -0.3
138 Normal -0.3
132 Normal -0.3
114 Normal -0.3
414 Normal -0.3
452 Normal -0.3
746 Normal -0.3
824 Normal -0.3
342 Normal -0.3
952 Normal -0.3
298 Normal -0.3
914 Normal -0.3
376 Normal -0.3
564 Normal -0.3
468 Normal -0.3
384 Normal -0.3
286 Normal -0.3
136 Normal -0.3
416 Normal -0.3
1027 Tumor -0.3
672 Normal -0.3
392 Normal -0.3
456 Normal -0.3
312 Normal -0.3
366 Normal -0.3
394 Normal -0.3
982 Normal -0.3
314 Normal -0.3
528 Normal -0.3
362 Normal -0.3
1044 Normal -0.4
354 Normal -0.4
816 Normal -0.4
272 Normal -0.4
195 Tumor -0.4
111 Normal -0.4
464 Normal -0.4
126 Normal -0.4
232 Normal -0.4
422 Normal -0.4
436 Normal -0.4
386 Normal -0.4
426 Normal -0.4
818 Normal -0.4
192 Normal -0.4
742 Normal -0.4
124 Normal -0.4
568 Normal -0.4
716 Normal -0.4
262 Normal -0.4
162 Normal -0.4
722 Normal -0.4
368 Normal -0.4
332 Normal -0.4
424 Normal -0.4
396 Normal -0.4
616 Normal -0.4
1022 Normal -0.4
172 Normal -0.4
188 Normal -0.4
428 Normal -0.4
278 Normal -0.4
868 Normal -0.5
615 Tumor -0.5
358 Normal -0.5
636 Normal -0.5
446 Normal -0.5
186 Normal -0.5
574 Normal -0.5
214 Normal -0.5
628 Normal -0.5
258 Normal -0.5
786 Normal -0.5
218 Normal -0.5
196 Normal -0.5
148 Normal -0.5
627 Tumor -0.6
222 Normal -0.6
618 Normal -0.6
642 Normal -0.7
Show allShow less
LIVER 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 HPA041437
 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
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

Contact

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