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  • NAP1L1
CANCER UROTHELIAL 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
BLCA TCGA PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Urothelial cancer
Human cancer
Bladder urothelial carcinoma
BLADDER UROTHELIAL 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.

NAP1L1 is not prognostic in Bladder Urothelial 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.

: 321.71
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 433.2
Number of samples 169
Samples
Sample Description pTPM
TCGA-XF-A9T2-01A 54 years, male, white, stage:Stage III, dead, 575 days 2581.4
TCGA-XF-A9ST-01A 68 years, male, white, stage:Stage III, dead, 128 days 2465.7
TCGA-XF-A9SW-01A 85 years, male, white, stage:Stage IV, dead, 362 days 1662.4
TCGA-YC-A9TC-01A 71 years, male, white, stage:Stage IV, dead, 20 days 1647.3
TCGA-G2-AA3C-01A 66 years, male, white, stage:Stage IV, dead, 211 days 1492.7
TCGA-XF-A9SL-01A 69 years, male, white, stage:Stage IV, dead, 2020 days 1334.0
TCGA-GV-A40E-01A 75 years, male, white, stage:Stage II, dead, 261 days 1263.7
TCGA-XF-AAN4-01A 77 years, female, white, stage:Stage III, dead, 823 days 1263.1
TCGA-ZF-A9R9-01A 58 years, male, white, stage:Stage IV, dead, 864 days 1231.2
TCGA-XF-AAME-01A 64 years, female, white, stage:Stage II, dead, 2828 days 1164.0
TCGA-GC-A3I6-01A 45 years, male, white, stage:Stage III, dead, 630 days 1084.8
TCGA-DK-A3IM-01A 76 years, male, white, stage:Stage III, dead, 248 days 1046.5
TCGA-GU-A767-01A 81 years, male, white, stage:Stage IV, dead, 144 days 1014.8
TCGA-DK-A3IN-01A 72 years, male, white, stage:Stage III, dead, 250 days 985.2
TCGA-XF-A9SU-01A 74 years, female, white, stage:Stage IV, dead, 182 days 958.2
TCGA-DK-A3X2-01A 85 years, male, white, stage:Stage IV, dead, 547 days 918.8
TCGA-BT-A20P-01A 81 years, female, white, stage:Stage III, dead, 544 days 907.6
TCGA-BT-A20O-01A 75 years, male, white, stage:Stage III, dead, 370 days 904.6
TCGA-4Z-AA7S-01A 66 years, male, black or african american, stage:Stage III, dead, 1064 days 872.7
TCGA-XF-A9T8-01A 64 years, male, white, stage:Stage III, dead, 418 days 871.6
TCGA-BT-A20U-01A 70 years, female, white, stage:Stage III, dead, 455 days 866.8
TCGA-XF-A9SX-01A 63 years, female, white, stage:Stage IV, dead, 719 days 850.2
TCGA-FD-A62S-01A 60 years, female, black or african american, stage:Stage III, dead, 406 days 785.6
TCGA-ZF-AA52-01A 70 years, male, white, stage:Stage III, dead, 1077 days 778.6
TCGA-XF-AAMZ-01A 81 years, female, white, stage:Stage IV, dead, 1348 days 737.8
TCGA-E7-A541-01A 66 years, male, white, stage:Stage II, dead, 778 days 719.4
TCGA-DK-A2HX-01A 80 years, female, white, stage:Stage IV, dead, 1420 days 708.1
TCGA-ZF-A9RE-01A 78 years, female, white, stage:Stage II, dead, 106 days 706.0
TCGA-BL-A3JM-01A 62 years, male, white, stage:Stage III, dead, 205 days 705.1
TCGA-FD-A5BT-01A 84 years, male, white, stage:Stage III, dead, 328 days 705.0
TCGA-S5-A6DX-01A 83 years, male, white, stage:Stage IV, dead, 56 days 704.9
TCGA-XF-A9SV-01A 82 years, male, white, stage:Stage IV, dead, 388 days 690.4
TCGA-SY-A9G0-01A 82 years, male, white, stage:Stage IV, dead, 1008 days 682.4
TCGA-G2-A2EL-01A 77 years, male, white, stage:Stage II, dead, 819 days 674.8
TCGA-ZF-AA4R-01A 67 years, male, white, stage:Stage IV, dead, 1036 days 643.9
TCGA-FD-A3SL-01A 60 years, male, white, stage:Stage IV, dead, 712 days 637.4
TCGA-4Z-AA80-01A 73 years, male, white, stage:Stage II, dead, 19 days 635.6
TCGA-4Z-AA81-01A 80 years, male, white, stage:Stage II, dead, 1270 days 625.9
TCGA-ZF-AA4T-01A 65 years, male, white, stage:Stage IV, dead, 599 days 610.9
TCGA-XF-A9SJ-01A 83 years, male, white, stage:Stage IV, dead, 98 days 609.1
TCGA-XF-AAMJ-01A 70 years, male, asian, stage:Stage III, dead, 1670 days 599.2
TCGA-XF-AAMX-01A 87 years, female, black or african american, stage:Stage III, dead, 206 days 550.7
TCGA-XF-AAN7-01A 60 years, male, white, stage:Stage IV, dead, 565 days 528.5
TCGA-ZF-AA4N-01A 74 years, male, white, stage:Stage II, dead, 88 days 523.4
TCGA-BT-A20T-01A 63 years, male, white, stage:Stage IV, dead, 453 days 522.6
TCGA-FD-A3SR-01A 68 years, male, white, stage:Stage IV, dead, 602 days 520.1
TCGA-ZF-AA54-01A 71 years, male, white, stage:Stage III, dead, 590 days 515.2
TCGA-2F-A9KR-01A 59 years, female, stage:Stage III, dead, 3183 days 513.8
TCGA-BT-A20V-01A 59 years, female, black or african american, stage:Stage IV, dead, 154 days 504.1
TCGA-DK-AA6L-01A 48 years, male, white, stage:Stage IV, dead, 1163 days 495.0
TCGA-ZF-A9RN-01A 67 years, female, white, stage:Stage III, dead, 615 days 480.4
TCGA-BT-A20N-01A 72 years, male, stage:Stage III, dead, 795 days 471.0
TCGA-FD-A5BZ-01A 77 years, female, white, stage:Stage IV, dead, 835 days 464.6
TCGA-C4-A0EZ-01A 69 years, female, stage:Stage IV, dead, 273 days 443.4
TCGA-G2-A3IE-01A 51 years, male, white, stage:Stage II, dead, 612 days 428.7
TCGA-DK-AA6W-01A 78 years, male, white, stage:Stage II, dead, 415 days 427.5
TCGA-FD-A3SO-01A 68 years, male, white, stage:Stage IV, dead, 168 days 426.7
TCGA-BT-A20J-01A 75 years, male, white, stage:Stage II, dead, 579 days 420.7
TCGA-BT-A0S7-01A 75 years, male, white, stage:Stage III, dead, 200 days 409.3
TCGA-FJ-A871-01A 49 years, male, white, stage:Stage III, dead, 272 days 392.0
TCGA-XF-AAMH-01A 80 years, male, white, stage:Stage IV, dead, 344 days 392.0
TCGA-XF-AAN8-01A 74 years, female, white, stage:Stage III, dead, 118 days 376.9
TCGA-DK-A3IL-01A 79 years, female, white, stage:Stage IV, dead, 413 days 372.3
TCGA-G2-A2ES-01A 85 years, male, white, stage:Stage II, dead, 1004 days 356.4
TCGA-DK-A1A3-01A 60 years, male, white, stage:Stage IV, dead, 665 days 355.7
TCGA-4Z-AA82-01A 59 years, male, black or african american, stage:Stage IV, dead, 1556 days 354.0
TCGA-UY-A78N-01A 80 years, male, white, stage:Stage IV, dead, 2641 days 350.7
TCGA-HQ-A5ND-01A 78 years, male, stage:Stage IV, dead, 274 days 347.9
TCGA-G2-A2EO-01A 69 years, male, white, stage:Stage III, dead, 1804 days 343.9
TCGA-GU-A42P-01A 72 years, male, white, stage:Stage IV, dead, 332 days 342.8
TCGA-2F-A9KO-01A 63 years, male, white, stage:Stage IV, dead, 734 days 340.9
TCGA-2F-A9KP-01A 66 years, male, white, stage:Stage IV, dead, 364 days 324.1
TCGA-4Z-AA7N-01A 65 years, male, white, stage:Stage III, dead, 1367 days 322.6
TCGA-XF-AAMT-01A 75 years, female, white, stage:Stage IV, dead, 90 days 320.8
TCGA-XF-AAMW-01A 79 years, female, white, stage:Stage IV, dead, 253 days 319.2
TCGA-GC-A3BM-01A 70 years, male, white, stage:Stage II, dead, 651 days 309.2
TCGA-GU-A762-01A 87 years, male, white, stage:Stage IV, dead, 232 days 303.5
TCGA-FD-A3N5-01A 69 years, male, black or african american, stage:Stage II, dead, 685 days 300.1
TCGA-ZF-AA5N-01A 62 years, female, white, stage:Stage IV, dead, 168 days 298.3
TCGA-C4-A0F7-01A 77 years, male, stage:Stage IV, dead, 62 days 298.1
TCGA-2F-A9KW-01A 67 years, female, white, stage:Stage III, dead, 254 days 298.1
TCGA-DK-A3IQ-01A 74 years, male, white, stage:Stage III, dead, 539 days 295.5
TCGA-BT-A20W-01A 71 years, male, white, stage:Stage II, dead, 254 days 293.8
TCGA-FD-A5BX-01A 82 years, male, white, stage:Stage IV, dead, 173 days 289.7
TCGA-DK-A1A5-01A 79 years, male, white, stage:Stage II, dead, 65 days 283.1
TCGA-BL-A13J-01A 65 years, male, white, stage:Stage IV, dead, 81 days 279.5
TCGA-CU-A0YN-01A 60 years, male, white, stage:Stage III, dead, 393 days 278.9
TCGA-DK-A1AB-01A 74 years, female, white, stage:Stage IV, dead, 508 days 278.2
TCGA-FD-A3B4-01A 55 years, female, black or african american, stage:Stage III, dead, 510 days 276.5
TCGA-4Z-AA86-01A 66 years, male, black or african american, stage:Stage IV, dead, 311 days 268.7
TCGA-FD-A62O-01A 74 years, male, white, stage:Stage IV, dead, 216 days 258.3
TCGA-DK-A2I2-01A 63 years, female, white, stage:Stage IV, dead, 237 days 255.4
TCGA-BT-A3PK-01A 80 years, male, white, stage:Stage II, dead, 303 days 252.7
TCGA-G2-A2EC-01A 58 years, female, black or african american, stage:Stage II, dead, 696 days 247.0
TCGA-DK-A3IU-01A 58 years, male, white, stage:Stage II, dead, 706 days 246.0
TCGA-GU-A42Q-01A 67 years, male, white, stage:Stage III, dead, 344 days 244.4
TCGA-HQ-A5NE-01A 57 years, male, stage:Stage III, dead, 370 days 244.1
TCGA-FD-A3B7-01A 66 years, male, black or african american, stage:Stage III, dead, 122 days 236.0
TCGA-DK-AA6Q-01A 61 years, female, white, stage:Stage IV, dead, 413 days 234.7
TCGA-GU-A42R-01A 68 years, male, white, stage:Stage IV, dead, 577 days 233.8
TCGA-ZF-A9RD-01A 75 years, female, white, stage:Stage IV, dead, 408 days 233.6
TCGA-K4-A5RI-01A 67 years, female, white, stage:Stage III, dead, 356 days 233.2
TCGA-GU-AATQ-01A 68 years, male, white, stage:Stage III, dead, 213 days 230.9
TCGA-FD-A5BV-01A 47 years, female, white, stage:Stage III, dead, 163 days 230.6
TCGA-BT-A3PH-01A 76 years, male, white, stage:Stage IV, dead, 142 days 227.8
TCGA-FD-A3SJ-01A 59 years, male, white, stage:Stage IV, dead, 739 days 227.3
TCGA-4Z-AA7Q-01A 79 years, male, white, stage:Stage III, dead, 510 days 225.9
TCGA-4Z-AA7R-01A 73 years, male, black or african american, stage:Stage IV, dead, 522 days 225.1
TCGA-FD-A5C0-01A 61 years, male, white, stage:Stage IV, dead, 550 days 224.9
TCGA-FD-A6TF-01A 80 years, female, white, stage:Stage IV, dead, 69 days 219.1
TCGA-FD-A6TG-01A 73 years, male, white, stage:Stage IV, dead, 93 days 217.1
TCGA-XF-A8HI-01A 57 years, female, white, stage:Stage IV, dead, 544 days 215.8
TCGA-E5-A4TZ-01A 64 years, male, white, stage:Stage IV, dead, 467 days 215.5
TCGA-FD-A6TH-01A 63 years, male, white, stage:Stage IV, dead, 131 days 214.3
TCGA-E7-A97P-01A 73 years, male, asian, stage:Stage II, dead, 437 days 212.7
TCGA-ZF-AA56-01A 79 years, female, white, stage:Stage III, dead, 259 days 209.7
TCGA-FD-A3B3-01A 74 years, female, white, stage:Stage III, dead, 974 days 209.6
TCGA-CU-A0YR-01A 83 years, male, white, stage:Stage IV, dead, 460 days 207.3
TCGA-FD-A3B5-01A 86 years, male, black or african american, stage:Stage IV, dead, 272 days 206.9
TCGA-BT-A20Q-01A 73 years, male, white, stage:Stage IV, dead, 593 days 199.9
TCGA-FD-A3B6-01A 75 years, male, white, stage:Stage II, dead, 1005 days 198.9
TCGA-FD-A6TD-01A 77 years, male, white, stage:Stage III, dead, 386 days 198.0
TCGA-GV-A3QH-01A 67 years, male, white, stage:Stage II, dead, 258 days 197.8
TCGA-FD-A43Y-01A 65 years, male, white, stage:Stage III, dead, 474 days 195.9
TCGA-BL-A13I-01A 57 years, female, white, stage:Stage III, dead, 223 days 194.5
TCGA-CU-A5W6-01A 70 years, male, white, stage:Stage III, dead, 56 days 191.9
TCGA-XF-A9SH-01A 65 years, female, asian, stage:Stage II, dead, 1971 days 189.0
TCGA-FD-A62P-01A 76 years, male, white, stage:Stage II, dead, 191 days 188.7
TCGA-G2-A3IB-01A 66 years, male, black or african american, stage:Stage II, dead, 220 days 188.4
TCGA-UY-A78K-01A 60 years, male, white, stage:Stage IV, dead, 536 days 184.9
TCGA-BT-A2LB-01A 73 years, female, white, stage:Stage III, dead, 492 days 183.3
TCGA-CU-A0YO-01A 84 years, male, white, stage:Stage IV, dead, 149 days 183.0
TCGA-XF-A9SP-01A 59 years, male, white, stage:Stage III, dead, 454 days 178.9
TCGA-FD-A3SQ-01A 62 years, male, white, stage:Stage IV, dead, 1423 days 177.8
TCGA-CU-A72E-01A 76 years, male, white, stage:Stage IV, dead, 413 days 169.4
TCGA-ZF-A9R3-01A 53 years, female, white, stage:Stage II, dead, 949 days 164.8
TCGA-K4-A4AC-01A 83 years, male, white, stage:Stage II, dead, 278 days 163.9
TCGA-BT-A0YX-01A 70 years, female, white, stage:Stage III, dead, 400 days 163.6
TCGA-XF-A8HH-01A 61 years, female, white, stage:Stage IV, dead, 57 days 163.2
TCGA-E7-A3X6-01A 70 years, male, white, stage:Stage II, dead, 904 days 162.1
TCGA-XF-AAN1-01A 75 years, female, stage:Stage III, dead, 941 days 161.8
TCGA-XF-A9SZ-01A 79 years, male, white, stage:Stage IV, dead, 859 days 161.8
TCGA-5N-A9KM-01A 73 years, female, white, stage:Stage III, dead, 530 days 160.7
TCGA-BT-A20X-01A 56 years, male, white, stage:Stage IV, dead, 251 days 158.8
TCGA-XF-AAML-01A 75 years, male, white, stage:Stage II, dead, 232 days 158.6
TCGA-XF-AAN2-01A 73 years, male, white, stage:Stage II, dead, 1869 days 158.5
TCGA-XF-A9SK-01A 65 years, male, white, stage:Stage IV, dead, 486 days 151.7
TCGA-CF-A47T-01A 58 years, female, asian, stage:Stage II, dead, 385 days 151.1
TCGA-E7-A4XJ-01A 66 years, male, asian, stage:Stage II, dead, 68 days 150.2
TCGA-GV-A3JV-01A 66 years, male, white, stage:Stage IV, dead, 434 days 140.8
TCGA-GU-AATO-01A 75 years, male, white, stage:Stage IV, dead, 324 days 138.8
TCGA-5N-A9KI-01A 76 years, female, white, stage:Stage III, dead, 76 days 137.7
TCGA-UY-A78M-01A 81 years, female, asian, stage:Stage IV, dead, 690 days 135.5
TCGA-FD-A6TI-01A 73 years, male, white, stage:Stage IV, dead, 294 days 133.4
TCGA-FJ-A3ZE-01A 65 years, male, white, stage:Stage IV, dead, 324 days 133.2
TCGA-FD-A3SM-01A 70 years, male, white, stage:Stage IV, dead, 547 days 133.0
TCGA-XF-AAN0-01A 68 years, male, white, stage:Stage IV, dead, 1718 days 132.7
TCGA-GV-A3QF-01A 79 years, male, white, stage:Stage IV, dead, 617 days 132.5
TCGA-FJ-A3Z9-01A 72 years, male, white, stage:'--, dead, 385 days 121.6
TCGA-XF-A8HG-01A 69 years, male, white, stage:Stage III, dead, 467 days 119.9
TCGA-XF-A8HC-01A 79 years, male, asian, stage:Stage IV, dead, 200 days 119.1
TCGA-BT-A2LD-01A 78 years, female, white, stage:Stage IV, dead, 623 days 116.9
TCGA-FD-A3SS-01A 66 years, male, white, stage:Stage IV, dead, 391 days 108.0
TCGA-ZF-AA4U-01A 70 years, male, white, stage:Stage III, dead, 262 days 103.7
TCGA-XF-A8HF-01A 80 years, male, white, stage:Stage III, dead, 2954 days 101.3
TCGA-DK-AA75-01A 82 years, male, white, stage:Stage III, dead, 340 days 98.6
TCGA-DK-A3IK-01A 87 years, male, white, stage:Stage IV, dead, 146 days 97.9
TCGA-CF-A9FL-01A 85 years, male, asian, stage:Stage III, dead, 565 days 95.5
TCGA-ZF-A9R0-01A 82 years, male, white, stage:Stage III, dead, 680 days 67.4
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UROTHELIAL 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 HPA028861
 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
Urothelial carcinoma, Low grade
Urothelial carcinoma, High grade

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


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