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SRP14
HPA
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  • SUMMARY

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  • STRUCT & INT

  • SRP14
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
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.

SRP14 is not prognostic 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.

: 122.23
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 144.4
Number of samples 362
Samples
Sample Description pTPM
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 357.1
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 347.6
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 334.2
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 326.8
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 315.8
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 311.2
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 295.6
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 292.5
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 290.2
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 287.0
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 283.8
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 267.5
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 263.4
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 263.3
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 258.2
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 255.8
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 249.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 244.4
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 244.1
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 240.5
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 232.0
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 231.8
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 228.4
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 227.3
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 226.9
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 225.3
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 225.3
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 224.4
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 224.0
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 219.7
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 212.2
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 212.1
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 209.5
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 208.4
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 208.3
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 206.9
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 206.5
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 206.4
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 205.4
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 204.9
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 203.5
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 203.4
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 203.2
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 203.1
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 201.9
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 196.3
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 194.5
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 193.7
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 193.3
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 193.1
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 192.1
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 190.9
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 190.6
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 190.5
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 190.0
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 189.7
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 188.7
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 188.4
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 187.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 185.9
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 185.2
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 183.9
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 183.4
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 183.0
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 183.0
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 182.2
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 181.4
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 181.0
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 180.9
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 180.5
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 179.6
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 179.1
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 178.9
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 177.5
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 177.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 177.3
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 177.2
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 177.0
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 176.7
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 176.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 175.8
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 175.7
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 175.5
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 175.1
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 174.8
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 174.2
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 174.0
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 173.8
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 173.5
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 173.3
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 173.2
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 172.6
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 172.3
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 171.6
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 168.5
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 166.3
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 165.1
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 164.9
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 164.9
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 164.5
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 164.5
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 164.1
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 163.8
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 163.7
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 163.3
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 162.9
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 162.7
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 162.6
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 162.1
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 161.9
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 161.2
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 159.7
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 159.7
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 159.4
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 159.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 159.2
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 158.8
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 158.1
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 157.3
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 157.2
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 156.9
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 156.6
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 156.0
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 155.2
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 154.8
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 154.6
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 153.9
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 153.8
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 153.3
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 152.9
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 152.6
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 152.2
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 152.1
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 152.0
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 151.8
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 151.7
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 151.3
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 151.3
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 151.2
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 151.0
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 150.5
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 150.0
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 149.5
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 149.1
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 148.8
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 148.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 148.8
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 148.7
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 148.4
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 148.4
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 146.5
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 146.2
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 146.0
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 145.9
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 144.9
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 144.6
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 144.3
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 144.1
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 143.7
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 143.1
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 142.6
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 142.4
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 141.8
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 141.8
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 141.8
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 141.3
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 141.2
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 140.9
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 140.8
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 140.1
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 139.7
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 138.6
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 137.7
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 137.7
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 137.6
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 137.4
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 137.1
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 136.6
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 136.6
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 136.3
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 136.2
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 136.0
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 135.5
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 135.4
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 134.8
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 134.3
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 133.8
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 133.6
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 133.4
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 133.4
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 133.2
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 132.9
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 132.5
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 132.2
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 132.1
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 132.1
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 131.5
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 131.1
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 129.1
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 128.6
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 128.5
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 128.4
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 128.2
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 127.5
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 127.5
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 127.5
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 127.4
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 127.4
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 127.3
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 126.8
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 126.7
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 126.5
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 125.8
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 125.5
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 125.3
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 125.3
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 125.0
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 124.5
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 124.5
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 124.0
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 123.5
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 122.9
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 122.2
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 122.2
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 122.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 121.9
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 121.7
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 121.5
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 121.2
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 120.5
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 120.5
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 120.5
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 120.1
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 120.0
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 120.0
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 119.8
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 119.6
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 118.6
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 118.5
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 118.5
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 118.4
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 117.7
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 117.6
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 117.3
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 116.9
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 116.4
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 116.4
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 116.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 116.2
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 115.3
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 115.2
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 114.8
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 114.7
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 114.6
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 114.5
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 114.0
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 113.9
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 113.9
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 113.8
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 113.5
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 113.3
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 112.9
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 112.3
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 111.9
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 111.8
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 111.7
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 110.3
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 110.2
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 110.1
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 110.1
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 109.6
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 109.2
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 108.7
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 108.2
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 108.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 106.9
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 106.1
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 105.9
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 105.8
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 105.0
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 104.5
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 104.2
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 103.9
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 103.2
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 103.0
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 102.5
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 102.5
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 101.9
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 101.9
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 101.4
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 101.3
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 101.0
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 101.0
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 100.7
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 100.7
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 100.4
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 100.2
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 99.8
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 99.7
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 99.3
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 98.9
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 98.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 97.8
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 97.8
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 97.7
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 97.7
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 97.6
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 97.4
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 96.1
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 95.8
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 95.5
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 95.1
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 95.0
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 95.0
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 93.6
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 93.5
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 93.2
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 93.0
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 92.6
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 91.6
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 89.1
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 88.9
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 88.8
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 88.6
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 88.0
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 87.8
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 87.8
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 87.6
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 87.4
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 87.3
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 86.1
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 86.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 85.9
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 85.6
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 85.6
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 83.7
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 83.3
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 82.9
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 82.3
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 81.4
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 81.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 79.9
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 79.7
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 79.5
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 77.0
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 77.0
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 76.0
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 72.8
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 72.5
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 71.6
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 71.3
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 70.8
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 70.7
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 69.4
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 67.9
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 65.9
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 64.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 62.8
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 61.8
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 61.6
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 42.4
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 41.6
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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.

SRP14 is not prognostic 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.

: 365.52
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 312.2
Number of samples 231
Samples
Sample Description pTPM
DO50815 62 years, male, NA, stage:3, alive, 150 days 776.1
DO45185 89 years, male, NA, stage:2, alive, 600 days 668.1
DO45145 78 years, male, NA, stage:3, dead, 60 days 611.0
DO48682 72 years, female, NA, stage:3, dead, 120 days 586.8
DO45267 73 years, male, NA, stage:3, dead, 570 days 583.7
DO45259 65 years, male, NA, stage:3, alive, 330 days 568.6
DO23521 63 years, male, NA, stage:3, alive, 1110 days 567.0
DO23526 66 years, male, NA, stage:3, alive, 1050 days 549.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 532.6
DO45263 67 years, male, NA, stage:3, dead, 270 days 521.4
DO23509 60 years, male, NA, stage:3, dead, 780 days 514.8
DO50778 60 years, male, NA, stage:4, alive, 630 days 504.7
DO48672 81 years, male, NA, stage:2, alive, 450 days 493.3
DO45205 67 years, female, NA, stage:2, dead, 90 days 481.2
DO45287 74 years, male, NA, stage:1, alive, 390 days 474.5
DO45303 62 years, female, NA, stage:3, alive, 990 days 471.3
DO45289 78 years, female, NA, stage:3, alive, 360 days 468.1
DO48720 62 years, female, NA, stage:2, alive, 570 days 466.7
DO45249 57 years, male, NA, stage:1, alive, 630 days 466.6
DO48759 73 years, male, NA, stage:3, alive, 720 days 461.5
DO45155 69 years, male, NA, stage:2, alive, 2160 days 461.3
DO48697 64 years, female, NA, stage:2, dead, 810 days 456.8
DO45297 61 years, female, NA, stage:4, dead, 1260 days 456.1
DO45275 65 years, male, NA, stage:3, dead, 10 days 454.6
DO45173 63 years, male, NA, stage:3, alive, 1170 days 453.9
DO45105 61 years, male, NA, stage:1, alive, 1680 days 451.3
DO45165 75 years, male, NA, stage:2, alive, 690 days 450.8
DO45299 70 years, female, NA, stage:1, alive, 1440 days 449.1
DO48730 73 years, female, NA, stage:2, alive, 630 days 448.8
DO23552 80 years, female, NA, stage:1, alive, 810 days 448.3
DO45161 74 years, male, NA, stage:2, dead, 540 days 445.5
DO45305 66 years, male, NA, stage:4, alive, 300 days 445.2
DO45092 62 years, male, NA, stage:4, dead, 1200 days 432.3
DO23518 67 years, male, NA, stage:2, alive, 1320 days 431.6
DO45119 74 years, male, NA, stage:3, dead, 510 days 428.7
DO48741 64 years, male, NA, stage:3, alive, 240 days 427.6
DO50799 66 years, female, NA, stage:2, alive, 540 days 426.7
DO48712 50 years, male, NA, stage:2, alive, 810 days 424.1
DO23523 52 years, male, NA, stage:3, alive, 1080 days 414.1
DO48728 74 years, female, NA, stage:2, alive, 150 days 406.5
DO45137 38 years, male, NA, stage:1, alive, 1320 days 403.6
DO45139 63 years, male, NA, stage:3, alive, 1320 days 403.6
DO45223 67 years, male, NA, stage:4, alive, 1020 days 402.5
DO45251 57 years, female, NA, stage:2, alive, 900 days 401.6
DO45093 71 years, male, NA, stage:2, dead, 720 days 401.2
DO45127 73 years, male, NA, stage:3, dead, 420 days 400.1
DO23515 71 years, male, NA, stage:2, alive, 1230 days 399.2
DO45187 32 years, female, NA, stage:1, alive, 1260 days 397.3
DO45099 46 years, male, NA, stage:3, alive, 1590 days 395.3
DO50791 79 years, female, NA, stage:1, dead, 480 days 392.8
DO23524 71 years, female, NA, stage:2, alive, 1050 days 391.9
DO23546 63 years, male, NA, stage:2, alive, 1050 days 391.4
DO23512 60 years, male, NA, stage:1, alive, 1260 days 391.4
DO23547 74 years, male, NA, stage:1, alive, 1020 days 390.8
DO48742 76 years, male, NA, stage:2, alive, 600 days 389.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 387.5
DO23514 64 years, male, NA, stage:2, alive, 1290 days 383.4
DO45221 75 years, female, NA, stage:4, dead, 390 days 378.9
DO23539 77 years, male, NA, stage:1, alive, 1110 days 378.8
DO50806 70 years, male, NA, stage:4, alive, 540 days 376.5
DO23549 74 years, male, NA, stage:3, alive, 990 days 375.4
DO45269 59 years, male, NA, stage:3, alive, 750 days 374.0
DO45183 72 years, female, NA, stage:2, dead, 570 days 373.0
DO45283 60 years, male, NA, stage:3, alive, 510 days 372.8
DO48717 54 years, male, NA, stage:4, dead, 180 days 372.0
DO50811 62 years, male, NA, stage:1, alive, 450 days 371.4
DO23533 61 years, male, NA, stage:2, alive, 900 days 368.1
DO23545 67 years, male, NA, stage:2, dead, 570 days 367.9
DO45253 50 years, male, NA, stage:2, alive, 870 days 367.6
DO45213 58 years, male, NA, stage:1, alive, 1200 days 367.0
DO45307 54 years, female, NA, stage:4, dead, 240 days 365.5
DO45203 71 years, female, NA, stage:2, alive, 1170 days 363.1
DO45149 70 years, female, NA, stage:2, alive, 1260 days 362.0
DO23513 76 years, male, NA, stage:3, alive, 1200 days 361.5
DO45279 67 years, male, NA, stage:3, alive, 1290 days 361.4
DO45225 69 years, male, NA, stage:1, alive, 1050 days 360.3
DO45265 73 years, male, NA, stage:3, alive, 1020 days 356.8
DO48732 73 years, male, NA, stage:3, alive, 630 days 355.5
DO50800 74 years, male, NA, stage:2, alive, 510 days 353.8
DO45141 73 years, male, NA, stage:2, alive, 1320 days 351.2
DO48723 73 years, male, NA, stage:1, alive, 600 days 350.7
DO45096 69 years, male, NA, stage:2, dead, 1290 days 347.4
DO23530 53 years, male, NA, stage:4, dead, 180 days 343.5
DO45135 77 years, male, NA, stage:1, alive, 1410 days 342.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 340.0
DO45097 69 years, male, NA, stage:3, alive, 1620 days 339.7
DO45235 68 years, female, NA, stage:1, alive, 900 days 339.1
DO50802 49 years, male, NA, stage:2, alive, 930 days 334.3
DO23519 65 years, male, NA, stage:3, alive, 630 days 332.7
DO23548 78 years, female, NA, stage:1, alive, 840 days 330.2
DO48704 68 years, female, NA, stage:3, alive, 750 days 329.0
DO23537 79 years, male, NA, stage:2, dead, 900 days 327.3
DO50819 72 years, female, NA, stage:2, alive, 510 days 322.9
DO23534 60 years, male, NA, stage:2, alive, 840 days 322.3
DO45143 69 years, male, NA, stage:3, alive, 1290 days 321.9
DO23542 66 years, male, NA, stage:3, alive, 960 days 321.6
DO45243 74 years, female, NA, stage:3, alive, 930 days 321.2
DO45247 31 years, female, NA, stage:2, alive, 210 days 321.2
DO45103 47 years, male, NA, stage:3, alive, 450 days 321.1
DO45273 62 years, male, NA, stage:2, alive, 480 days 320.2
DO50840 49 years, male, NA, stage:2, alive, 330 days 318.9
DO48681 57 years, male, NA, stage:2, alive, 900 days 318.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 318.1
DO45261 74 years, male, NA, stage:3, alive, 990 days 317.7
DO50789 73 years, female, NA, stage:2, alive, 570 days 316.2
DO45115 81 years, male, NA, stage:2, alive, 840 days 312.8
DO23535 67 years, male, NA, stage:1, alive, 960 days 309.9
DO50829 78 years, male, NA, stage:3, alive, 570 days 309.1
DO50805 72 years, male, NA, stage:2, alive, 690 days 306.6
DO23508 79 years, female, NA, stage:2, alive, 390 days 301.1
DO45207 68 years, male, NA, stage:1, alive, 1050 days 298.3
DO45123 78 years, female, NA, stage:2, dead, 570 days 297.9
DO45121 61 years, male, NA, stage:3, alive, 1530 days 297.9
DO50808 68 years, male, NA, stage:2, alive, 570 days 296.8
DO48736 76 years, female, NA, stage:1, alive, 600 days 296.8
DO50816 63 years, male, NA, stage:2, alive, 390 days 292.6
DO45189 85 years, female, NA, stage:2, alive, 1200 days 291.9
DO45281 83 years, male, NA, stage:4, alive, 750 days 291.2
DO50798 77 years, male, NA, stage:3, dead, 30 days 290.8
DO50809 56 years, male, NA, stage:3, dead, 720 days 289.5
DO50793 76 years, male, NA, stage:4, alive, 540 days 284.5
DO23543 63 years, male, NA, stage:2, alive, 1020 days 282.8
DO45255 81 years, male, NA, stage:3, alive, 720 days 280.8
DO50776 75 years, male, NA, stage:1, alive, 690 days 280.7
DO45095 66 years, male, NA, stage:2, alive, 1620 days 279.4
DO45191 61 years, female, NA, stage:2, alive, 1200 days 279.4
DO48761 55 years, male, NA, stage:2, alive, 870 days 277.0
DO23538 67 years, male, NA, stage:2, alive, 450 days 274.7
DO45245 75 years, female, NA, stage:2, dead, 240 days 274.3
DO45177 81 years, female, NA, stage:3, alive, 1260 days 274.0
DO45257 46 years, male, NA, stage:3, alive, 810 days 273.9
DO23550 69 years, male, NA, stage:1, alive, 990 days 272.5
DO45111 74 years, male, NA, stage:2, alive, 1590 days 272.4
DO45211 76 years, male, NA, stage:3, alive, 240 days 271.4
DO45133 64 years, male, NA, stage:3, dead, 660 days 270.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 269.4
DO45153 77 years, female, NA, stage:2, alive, 1380 days 266.3
DO50813 56 years, male, NA, stage:2, alive, 420 days 264.2
DO48725 66 years, male, NA, stage:1, alive, 780 days 263.9
DO50825 70 years, male, NA, stage:2, alive, 390 days 262.1
DO23525 71 years, male, NA, stage:4, alive, 1050 days 260.8
DO45231 84 years, male, NA, stage:2, alive, 930 days 260.6
DO50774 68 years, female, NA, stage:2, alive, 720 days 260.6
DO45229 74 years, male, NA, stage:1, alive, 990 days 259.6
DO50787 63 years, male, NA, stage:3, alive, 480 days 258.9
DO45129 61 years, male, NA, stage:3, alive, 1470 days 258.5
DO48700 78 years, female, NA, stage:2, alive, 810 days 254.0
DO48716 71 years, male, NA, stage:2, alive, 720 days 252.0
DO50783 62 years, male, NA, stage:3, alive, 480 days 251.8
DO48746 76 years, male, NA, stage:3, alive, 570 days 251.6
DO45171 56 years, male, NA, stage:3, alive, 600 days 251.3
DO48747 62 years, male, NA, stage:3, alive, 540 days 249.3
DO50803 62 years, female, NA, stage:1, alive, 540 days 248.4
DO48733 72 years, male, NA, stage:2, alive, 600 days 246.9
DO45117 73 years, female, NA, stage:2, dead, 1110 days 246.7
DO45197 51 years, male, NA, stage:2, alive, 1170 days 245.9
DO48719 80 years, male, NA, stage:2, alive, 690 days 244.5
DO48715 58 years, female, NA, stage:2, dead, 690 days 244.2
DO50820 77 years, female, NA, stage:3, alive, 510 days 241.9
DO45113 58 years, male, NA, stage:3, alive, 1560 days 241.3
DO45101 63 years, male, NA, stage:2, alive, 1680 days 240.6
DO45107 63 years, female, NA, stage:2, alive, 1710 days 240.5
DO45159 65 years, male, NA, stage:3, alive, 1470 days 240.5
DO45179 78 years, female, NA, stage:2, alive, 600 days 240.4
DO45193 68 years, female, NA, stage:4, dead, 120 days 240.2
DO48695 77 years, male, NA, stage:2, alive, 720 days 238.7
DO45175 74 years, male, NA, stage:2, alive, 1140 days 238.2
DO227801 77 years, female, NA, stage:1, alive, 660 days 238.0
DO23536 56 years, male, NA, stage:2, alive, 930 days 237.5
DO23529 72 years, male, NA, stage:4, alive, 930 days 235.9
DO45233 83 years, male, NA, stage:3, alive, 900 days 235.4
DO45227 57 years, female, NA, stage:2, alive, 1020 days 235.2
DO45091 56 years, male, NA, stage:2, dead, 1320 days 233.1
DO45163 76 years, male, NA, stage:2, alive, 960 days 232.9
DO23527 72 years, male, NA, stage:1, alive, 1050 days 232.3
DO48737 52 years, male, NA, stage:1, alive, 720 days 230.4
DO48677 58 years, male, NA, stage:3, alive, 1140 days 228.6
DO45157 62 years, male, NA, stage:2, alive, 1980 days 228.4
DO45237 58 years, male, NA, stage:2, alive, 900 days 228.3
DO45301 56 years, male, NA, stage:2, dead, 1440 days 226.5
DO45169 74 years, male, NA, stage:3, alive, 1350 days 226.5
DO50822 66 years, male, NA, stage:2, alive, 510 days 223.9
DO48751 68 years, male, NA, stage:2, dead, 480 days 223.2
DO50832 73 years, male, NA, stage:3, alive, 90 days 222.9
DO48743 69 years, female, NA, stage:2, alive, 570 days 222.3
DO45109 63 years, male, NA, stage:2, alive, 1590 days 222.2
DO23516 69 years, male, NA, stage:3, dead, 20 days 220.2
DO50817 75 years, male, NA, stage:2, alive, 390 days 220.2
DO50818 65 years, male, NA, stage:2, alive, 510 days 219.4
DO45125 58 years, male, NA, stage:3, alive, 1680 days 218.8
DO45285 59 years, male, NA, stage:3, alive, 480 days 218.0
DO23528 45 years, female, NA, stage:2, alive, 1020 days 216.2
DO45181 84 years, female, NA, stage:2, alive, 1200 days 214.7
DO48679 72 years, male, NA, stage:2, alive, 1200 days 210.3
DO23541 65 years, male, NA, stage:2, alive, 930 days 210.0
DO45241 49 years, male, NA, stage:1, alive, 1080 days 209.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 208.1
DO45131 53 years, male, NA, stage:4, dead, 360 days 206.8
DO48701 78 years, male, NA, stage:2, alive, 780 days 205.5
DO50850 74 years, male, NA, stage:3, alive, 720 days 205.0
DO48721 58 years, female, NA, stage:1, alive, 900 days 203.5
DO50807 67 years, male, NA, stage:1, alive, 540 days 201.7
DO48727 81 years, female, NA, stage:2, dead, 390 days 199.7
DO50859 77 years, male, NA, stage:2, alive, 180 days 198.0
DO50857 72 years, male, NA, stage:2, alive, 210 days 197.8
DO45094 76 years, male, NA, stage:3, alive, 1650 days 196.7
DO48706 72 years, male, NA, stage:2, alive, 870 days 195.6
DO227643 79 years, male, NA, stage:2, alive, 1260 days 195.1
DO45201 49 years, male, NA, stage:1, alive, 900 days 194.2
DO50855 47 years, male, NA, stage:2, alive, 570 days 185.7
DO23531 78 years, female, NA, stage:3, alive, 900 days 182.7
DO48757 68 years, female, NA, stage:3, alive, 480 days 180.9
DO45217 69 years, female, NA, stage:3, dead, 270 days 179.9
DO50844 75 years, male, NA, stage:4, alive, 300 days 178.8
DO45215 65 years, male, NA, stage:2, alive, 1170 days 172.1
DO45199 86 years, female, NA, stage:2, alive, 1350 days 162.5
DO23540 73 years, male, NA, stage:1, alive, 750 days 161.8
DO50814 83 years, male, NA, stage:3, alive, 420 days 161.4
DO23551 73 years, male, NA, stage:3, dead, 150 days 159.2
DO50845 72 years, male, NA, stage:3, alive, 210 days 158.9
DO50804 81 years, male, NA, stage:2, alive, 720 days 158.0
DO50839 47 years, female, NA, stage:3, alive, 330 days 155.7
DO48760 70 years, female, NA, stage:2, alive, 690 days 153.7
DO23532 71 years, female, NA, stage:1, alive, 960 days 152.5
DO23517 62 years, male, NA, stage:2, alive, 1200 days 148.2
DO45167 67 years, male, NA, stage:2, dead, 1440 days 144.0
DO48674 80 years, male, NA, stage:2, alive, 1260 days 141.0
DO45195 62 years, male, NA, stage:1, alive, 390 days 140.9
DO23544 67 years, male, NA, stage:2, alive, 960 days 106.6
DO48693 71 years, male, NA, stage:2, alive, 900 days 105.2
DO23511 83 years, female, NA, stage:3, dead, 180 days 100.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
743 Tumor 1.1
131 Tumor 1.0
1025 Tumor 1.0
951 Tumor 1.0
553 Tumor 0.9
737 Tumor 0.9
537 Tumor 0.9
965 Tumor 0.9
1031 Tumor 0.8
357 Tumor 0.8
635 Tumor 0.8
647 Tumor 0.8
545 Tumor 0.8
983 Tumor 0.8
1021 Tumor 0.8
571 Tumor 0.7
471 Tumor 0.7
975 Tumor 0.7
881 Tumor 0.7
527 Tumor 0.7
455 Tumor 0.7
285 Tumor 0.7
817 Tumor 0.7
271 Tumor 0.7
443 Tumor 0.6
483 Tumor 0.6
331 Tumor 0.6
921 Tumor 0.6
367 Tumor 0.6
963 Tumor 0.6
385 Tumor 0.6
431 Tumor 0.6
227 Tumor 0.6
487 Tumor 0.6
925 Tumor 0.5
445 Tumor 0.5
277 Tumor 0.5
411 Tumor 0.5
883 Tumor 0.5
425 Tumor 0.5
533 Tumor 0.5
523 Tumor 0.5
695 Tumor 0.5
567 Tumor 0.5
641 Tumor 0.5
515 Tumor 0.5
563 Tumor 0.5
785 Tumor 0.4
815 Tumor 0.4
977 Tumor 0.4
967 Tumor 0.4
1027 Tumor 0.4
135 Tumor 0.4
112 Tumor 0.4
923 Tumor 0.4
221 Tumor 0.4
1013 Tumor 0.4
313 Tumor 0.4
661 Tumor 0.4
671 Tumor 0.4
727 Tumor 0.4
863 Tumor 0.4
123 Tumor 0.4
127 Tumor 0.4
421 Tumor 0.4
433 Tumor 0.4
351 Tumor 0.4
685 Tumor 0.4
777 Tumor 0.4
937 Tumor 0.3
873 Tumor 0.3
427 Tumor 0.3
171 Tumor 0.3
423 Tumor 0.3
477 Tumor 0.3
535 Tumor 0.3
867 Tumor 0.3
391 Tumor 0.3
413 Tumor 0.3
1041 Tumor 0.3
715 Tumor 0.3
497 Tumor 0.3
361 Tumor 0.3
724 Normal 0.3
355 Tumor 0.2
393 Tumor 0.2
517 Tumor 0.2
387 Tumor 0.2
473 Tumor 0.2
461 Tumor 0.2
665 Tumor 0.2
185 Tumor 0.2
513 Tumor 0.2
1045 Tumor 0.2
1043 Tumor 0.2
823 Tumor 0.2
913 Tumor 0.2
187 Tumor 0.2
617 Tumor 0.2
137 Tumor 0.2
861 Tumor 0.2
813 Tumor 0.2
953 Tumor 0.2
435 Tumor 0.1
557 Tumor 0.1
141 Tumor 0.1
865 Tumor 0.1
415 Tumor 0.1
213 Tumor 0.1
493 Tumor 0.1
383 Tumor 0.1
395 Tumor 0.1
877 Tumor 0.1
755 Tumor 0.1
1015 Tumor 0.1
211 Tumor 0.1
478 Normal 0.1
911 Tumor 0.1
467 Tumor 0.1
721 Tumor 0.1
663 Tumor 0.1
814 Normal 0.1
353 Tumor 0.1
627 Tumor 0.0
267 Tumor 0.0
465 Tumor 0.0
697 Tumor 0.0
741 Tumor 0.0
375 Tumor 0.0
217 Tumor 0.0
297 Tumor 0.0
231 Tumor 0.0
191 Tumor 0.0
195 Tumor 0.0
481 Tumor 0.0
538 Normal 0.0
311 Tumor 0.0
463 Tumor 0.0
341 Tumor 0.0
525 Tumor 0.0
915 Tumor -0.1
447 Tumor -0.1
573 Tumor -0.1
365 Tumor -0.1
514 Normal -0.1
498 Normal -0.1
917 Tumor -0.1
113 Tumor -0.1
1028 Normal -0.1
488 Normal -0.1
943 Tumor -0.1
615 Tumor -0.1
1026 Normal -0.1
554 Normal -0.1
161 Tumor -0.1
851 Tumor -0.1
966 Normal -0.1
524 Normal -0.1
955 Tumor -0.1
516 Normal -0.1
713 Tumor -0.1
534 Normal -0.1
432 Normal -0.1
492 Normal -0.1
954 Normal -0.1
1042 Normal -0.2
1014 Normal -0.2
546 Normal -0.2
257 Tumor -0.2
284 Normal -0.2
327 Tumor -0.2
964 Normal -0.2
976 Normal -0.2
484 Normal -0.2
526 Normal -0.2
268 Normal -0.2
472 Normal -0.2
444 Normal -0.2
944 Normal -0.2
728 Normal -0.2
482 Normal -0.2
494 Normal -0.2
224 Normal -0.2
283 Tumor -0.2
958 Normal -0.2
878 Normal -0.2
436 Normal -0.2
332 Normal -0.2
363 Tumor -0.2
756 Normal -0.2
648 Normal -0.2
916 Normal -0.2
518 Normal -0.2
1032 Normal -0.2
434 Normal -0.2
228 Normal -0.2
696 Normal -0.2
981 Tumor -0.2
714 Normal -0.2
364 Normal -0.2
746 Normal -0.2
1016 Normal -0.2
686 Normal -0.2
446 Normal -0.2
491 Tumor -0.2
778 Normal -0.2
212 Normal -0.3
142 Normal -0.3
857 Tumor -0.3
924 Normal -0.3
912 Normal -0.3
922 Normal -0.3
664 Normal -0.3
314 Normal -0.3
412 Normal -0.3
368 Normal -0.3
384 Normal -0.3
938 Normal -0.3
145 Tumor -0.3
864 Normal -0.3
223 Tumor -0.3
882 Normal -0.3
716 Normal -0.3
572 Normal -0.3
286 Normal -0.3
852 Normal -0.3
474 Normal -0.3
786 Normal -0.3
874 Normal -0.3
462 Normal -0.3
866 Normal -0.3
328 Normal -0.3
261 Tumor -0.3
564 Normal -0.3
744 Normal -0.3
918 Normal -0.3
956 Normal -0.3
1044 Normal -0.3
745 Tumor -0.3
982 Normal -0.3
1022 Normal -0.3
738 Normal -0.3
968 Normal -0.3
926 Normal -0.3
984 Normal -0.3
448 Normal -0.3
536 Normal -0.3
722 Normal -0.4
362 Normal -0.4
343 Tumor -0.4
422 Normal -0.4
128 Normal -0.4
742 Normal -0.4
672 Normal -0.4
356 Normal -0.4
978 Normal -0.4
298 Normal -0.4
428 Normal -0.4
558 Normal -0.4
426 Normal -0.4
666 Normal -0.4
125 Tumor -0.4
278 Normal -0.4
952 Normal -0.4
192 Normal -0.4
452 Normal -0.4
957 Tumor -0.4
344 Normal -0.4
222 Normal -0.4
662 Normal -0.4
272 Normal -0.4
354 Normal -0.4
1046 Normal -0.4
451 Tumor -0.4
132 Normal -0.4
858 Normal -0.4
528 Normal -0.4
628 Normal -0.4
416 Normal -0.4
114 Normal -0.4
466 Normal -0.4
188 Normal -0.4
636 Normal -0.4
352 Normal -0.4
262 Normal -0.4
124 Normal -0.4
568 Normal -0.4
862 Normal -0.4
424 Normal -0.4
258 Normal -0.4
148 Normal -0.4
214 Normal -0.4
468 Normal -0.4
232 Normal -0.5
376 Normal -0.5
464 Normal -0.5
136 Normal -0.5
884 Normal -0.5
574 Normal -0.5
914 Normal -0.5
126 Normal -0.5
698 Normal -0.5
386 Normal -0.5
456 Normal -0.5
312 Normal -0.5
218 Normal -0.5
146 Normal -0.5
138 Normal -0.5
111 Normal -0.5
818 Normal -0.5
196 Normal -0.5
414 Normal -0.5
723 Tumor -0.5
147 Tumor -0.5
392 Normal -0.5
396 Normal -0.5
388 Normal -0.5
342 Normal -0.5
824 Normal -0.5
642 Normal -0.6
366 Normal -0.6
186 Normal -0.6
358 Normal -0.6
618 Normal -0.6
868 Normal -0.6
394 Normal -0.6
816 Normal -0.6
162 Normal -0.7
616 Normal -0.7
172 Normal -0.8
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.

Pending cancer tissue analysis

Contact

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


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