Best variant

OUR DATA

Денгдограмма по нашим данным

Визуализация наших кластеров на двумерном пространстве

Частота мутаций генов в кластерах

Показатели	1 N = 23	2 N = 46	3 N = 36	4 N = 46	5 N = 86	6 N = 27	7 N = 10	8 N = 23	9 N = 45	10 N = 25
MSI	0 (0%)	0 (0%)	36 (100%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)
BRAF	0 (0%)	1 (2.2%)	15 (42%)	0 (0%)	0 (0%)	0 (0%)	10 (100%)	4 (17%)	1 (2.2%)	0 (0%)
KRAS	20 (87%)	38 (83%)	9 (25%)	46 (100%)	77 (90%)	0 (0%)	0 (0%)	2 (8.7%)	0 (0%)	1 (4.0%)
NRAS	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	6 (26%)	0 (0%)	25 (100%)
PIK3CA	10 (43%)	18 (39%)	8 (22%)	19 (41%)	17 (20%)	0 (0%)	1 (10%)	9 (39%)	0 (0%)	2 (8.0%)
TP53	0 (0%)	44 (96%)	6 (17%)	0 (0%)	86 (100%)	27 (100%)	10 (100%)	0 (0%)	45 (100%)	25 (100%)
PTEN	6 (26%)	12 (26%)	8 (22%)	10 (22%)	35 (41%)	9 (33%)	2 (20%)	2 (8.7%)	18 (40%)	6 (24%)
TRANSL	0 (0%)	0 (0%)	4 (11%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)
APC	0 (0%)	0 (0%)	9 (25%)	46 (100%)	86 (100%)	0 (0%)	0 (0%)	17 (74%)	45 (100%)	17 (68%)
CTNNB1	0 (0%)	5 (11%)	4 (11%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)
FBXW7	0 (0%)	3 (6.5%)	9 (25%)	3 (6.5%)	16 (19%)	0 (0%)	0 (0%)	2 (8.7%)	0 (0%)	2 (8.0%)
SMAD4	3 (13%)	6 (13%)	2 (5.6%)	6 (13%)	12 (14%)	0 (0%)	2 (20%)	0 (0%)	0 (0%)	1 (4.0%)
PTEN_3	1 (4.3%)	2 (4.3%)	4 (11%)	1 (2.2%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	2 (4.4%)	0 (0%)
TP53_4	1 (4.3%)	0 (0%)	7 (19%)	8 (17%)	0 (0%)	0 (0%)	0 (0%)	5 (22%)	0 (0%)	0 (0%)

TCGA sample

Визуализации валидации кластеров

Частота мутаций генов в валидированных кластерах

Показатели	1 N = 12	2 N = 22	3 N = 44	4 N = 62	5 N = 93	6 N = 5	7 N = 8	8 N = 33	9 N = 91	10 N = 13
MSI	0 (0%)	1 (4.5%)	44 (100%)	9 (15%)	10 (11%)	0 (0%)	2 (25%)	2 (6.1%)	2 (2.2%)	0 (0%)
BRAF	0 (0%)	0 (0%)	31 (70%)	0 (0%)	4 (4.3%)	0 (0%)	8 (100%)	6 (18%)	2 (2.2%)	1 (7.7%)
KRAS	9 (75%)	17 (77%)	7 (16%)	62 (100%)	79 (85%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)
NRAS	0 (0%)	0 (0%)	2 (4.5%)	2 (3.2%)	2 (2.2%)	0 (0%)	0 (0%)	7 (21%)	0 (0%)	13 (100%)
PIK3CA	8 (67%)	7 (32%)	14 (32%)	32 (52%)	30 (32%)	0 (0%)	1 (13%)	15 (45%)	12 (13%)	1 (7.7%)
TP53	0 (0%)	22 (100%)	8 (18%)	0 (0%)	93 (100%)	5 (100%)	8 (100%)	0 (0%)	91 (100%)	13 (100%)
PTEN	0 (0%)	4 (18%)	7 (16%)	6 (9.7%)	4 (4.3%)	0 (0%)	1 (13%)	3 (9.1%)	1 (1.1%)	1 (7.7%)
TRANSL	0 (0%)	0 (0%)	2 (4.5%)	0 (0%)	1 (1.1%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)
APC	0 (0%)	1 (4.5%)	15 (34%)	62 (100%)	93 (100%)	0 (0%)	0 (0%)	27 (82%)	91 (100%)	12 (92%)
FBXW7	0 (0%)	7 (32%)	18 (41%)	11 (18%)	14 (15%)	0 (0%)	1 (13%)	8 (24%)	9 (9.9%)	2 (15%)
CTNNB1	0 (0%)	6 (27%)	6 (14%)	3 (4.8%)	8 (8.6%)	0 (0%)	0 (0%)	3 (9.1%)	0 (0%)	1 (7.7%)
SMAD4	1 (8.3%)	3 (14%)	9 (20%)	9 (15%)	23 (25%)	0 (0%)	2 (25%)	6 (18%)	0 (0%)	1 (7.7%)
PTEN_3	8 (67%)	8 (36%)	23 (52%)	32 (52%)	40 (43%)	1 (20%)	7 (88%)	16 (48%)	38 (42%)	4 (31%)
TP53_4	4 (33%)	0 (0%)	14 (32%)	8 (13%)	0 (0%)	0 (0%)	0 (0%)	9 (27%)	0 (0%)	0 (0%)

Визуализация кластеров на наших данных (веррхняя строка) и на валидированной выборке TCGA (нижняя срока)

Сравнение частот генов по нашим данным и на валидированной выборке TCGA (номера кластеров между выборками должны соответствовать)

	Our										TCGA
Показатели	1 N = 23	2 N = 46	3 N = 36	4 N = 46	5 N = 86	6 N = 27	7 N = 10	8 N = 23	9 N = 45	10 N = 25	1 N = 12	2 N = 22	3 N = 44	4 N = 62	5 N = 93	6 N = 5	7 N = 8	8 N = 33	9 N = 91	10 N = 13
MSI	0 (0%)	0 (0%)	36 (100%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	1 (4.5%)	44 (100%)	9 (15%)	10 (11%)	0 (0%)	2 (25%)	2 (6.1%)	2 (2.2%)	0 (0%)
BRAF	0 (0%)	1 (2.2%)	15 (42%)	0 (0%)	0 (0%)	0 (0%)	10 (100%)	4 (17%)	1 (2.2%)	0 (0%)	0 (0%)	0 (0%)	31 (70%)	0 (0%)	4 (4.3%)	0 (0%)	8 (100%)	6 (18%)	2 (2.2%)	1 (7.7%)
KRAS	20 (87%)	38 (83%)	9 (25%)	46 (100%)	77 (90%)	0 (0%)	0 (0%)	2 (8.7%)	0 (0%)	1 (4.0%)	9 (75%)	17 (77%)	7 (16%)	62 (100%)	79 (85%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)
NRAS	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	6 (26%)	0 (0%)	25 (100%)	0 (0%)	0 (0%)	2 (4.5%)	2 (3.2%)	2 (2.2%)	0 (0%)	0 (0%)	7 (21%)	0 (0%)	13 (100%)
PIK3CA	10 (43%)	18 (39%)	8 (22%)	19 (41%)	17 (20%)	0 (0%)	1 (10%)	9 (39%)	0 (0%)	2 (8.0%)	8 (67%)	7 (32%)	14 (32%)	32 (52%)	30 (32%)	0 (0%)	1 (13%)	15 (45%)	12 (13%)	1 (7.7%)
TP53	0 (0%)	44 (96%)	6 (17%)	0 (0%)	86 (100%)	27 (100%)	10 (100%)	0 (0%)	45 (100%)	25 (100%)	0 (0%)	22 (100%)	8 (18%)	0 (0%)	93 (100%)	5 (100%)	8 (100%)	0 (0%)	91 (100%)	13 (100%)
PTEN	6 (26%)	12 (26%)	8 (22%)	10 (22%)	35 (41%)	9 (33%)	2 (20%)	2 (8.7%)	18 (40%)	6 (24%)	0 (0%)	4 (18%)	7 (16%)	6 (9.7%)	4 (4.3%)	0 (0%)	1 (13%)	3 (9.1%)	1 (1.1%)	1 (7.7%)
TRANSL	0 (0%)	0 (0%)	4 (11%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	2 (4.5%)	0 (0%)	1 (1.1%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)
APC	0 (0%)	0 (0%)	9 (25%)	46 (100%)	86 (100%)	0 (0%)	0 (0%)	17 (74%)	45 (100%)	17 (68%)	0 (0%)	1 (4.5%)	15 (34%)	62 (100%)	93 (100%)	0 (0%)	0 (0%)	27 (82%)	91 (100%)	12 (92%)
CTNNB1	0 (0%)	5 (11%)	4 (11%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	6 (27%)	6 (14%)	3 (4.8%)	8 (8.6%)	0 (0%)	0 (0%)	3 (9.1%)	0 (0%)	1 (7.7%)
FBXW7	0 (0%)	3 (6.5%)	9 (25%)	3 (6.5%)	16 (19%)	0 (0%)	0 (0%)	2 (8.7%)	0 (0%)	2 (8.0%)	0 (0%)	7 (32%)	18 (41%)	11 (18%)	14 (15%)	0 (0%)	1 (13%)	8 (24%)	9 (9.9%)	2 (15%)
SMAD4	3 (13%)	6 (13%)	2 (5.6%)	6 (13%)	12 (14%)	0 (0%)	2 (20%)	0 (0%)	0 (0%)	1 (4.0%)	1 (8.3%)	3 (14%)	9 (20%)	9 (15%)	23 (25%)	0 (0%)	2 (25%)	6 (18%)	0 (0%)	1 (7.7%)
PTEN_3	1 (4.3%)	2 (4.3%)	4 (11%)	1 (2.2%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	2 (4.4%)	0 (0%)	8 (67%)	8 (36%)	23 (52%)	32 (52%)	40 (43%)	1 (20%)	7 (88%)	16 (48%)	38 (42%)	4 (31%)
TP53_4	1 (4.3%)	0 (0%)	7 (19%)	8 (17%)	0 (0%)	0 (0%)	0 (0%)	5 (22%)	0 (0%)	0 (0%)	4 (33%)	0 (0%)	14 (32%)	8 (13%)	0 (0%)	0 (0%)	0 (0%)	9 (27%)	0 (0%)	0 (0%)

NEW CLUSTERS TCGA

Здесь посмотрим как сходятся валидация и заново сделанная кластеризации (мехамизм без изменений) по валидированной выборке

Дендограмма по TCGA

Частота мутаций генов в новых кластерах

Показатели	1 N = 21	2 N = 36	3 N = 50	4 N = 38	5 N = 88	6 N = 56	7 N = 13	8 N = 18	9 N = 32	10 N = 31
MSI	0 (0%)	0 (0%)	0 (0%)	38 (100%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	32 (100%)	0 (0%)
BRAF	1 (4.8%)	17 (47%)	0 (0%)	11 (29%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	23 (72%)	0 (0%)
KRAS	0 (0%)	10 (28%)	50 (100%)	21 (55%)	0 (0%)	56 (100%)	9 (69%)	13 (72%)	5 (16%)	10 (32%)
NRAS	6 (29%)	4 (11%)	0 (0%)	2 (5.3%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	1 (3.1%)	13 (42%)
PIK3CA	9 (43%)	15 (42%)	23 (46%)	20 (53%)	13 (15%)	13 (23%)	9 (69%)	2 (11%)	10 (31%)	6 (19%)
TP53	0 (0%)	24 (67%)	0 (0%)	14 (37%)	88 (100%)	56 (100%)	0 (0%)	18 (100%)	9 (28%)	31 (100%)
PTEN	0 (0%)	9 (25%)	4 (8.0%)	3 (7.9%)	2 (2.3%)	0 (0%)	0 (0%)	2 (11%)	7 (22%)	0 (0%)
TRANSL	0 (0%)	0 (0%)	0 (0%)	0 (0%)	1 (1.1%)	0 (0%)	0 (0%)	0 (0%)	2 (6.3%)	0 (0%)
APC	21 (100%)	17 (47%)	50 (100%)	38 (100%)	88 (100%)	56 (100%)	0 (0%)	0 (0%)	0 (0%)	31 (100%)
FBXW7	5 (24%)	9 (25%)	9 (18%)	11 (29%)	0 (0%)	0 (0%)	0 (0%)	3 (17%)	13 (41%)	20 (65%)
CTNNB1	0 (0%)	18 (50%)	0 (0%)	3 (7.9%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	5 (16%)	1 (3.2%)
SMAD4	5 (24%)	7 (19%)	6 (12%)	10 (26%)	8 (9.1%)	7 (13%)	1 (7.7%)	2 (11%)	5 (16%)	3 (9.7%)
PTEN_3	11 (52%)	20 (56%)	26 (52%)	19 (50%)	35 (40%)	27 (48%)	8 (62%)	4 (22%)	15 (47%)	12 (39%)
TP53_4	4 (19%)	2 (5.6%)	7 (14%)	7 (18%)	0 (0%)	0 (0%)	5 (38%)	0 (0%)	10 (31%)	0 (0%)

График сходства новой кластеризации с валидированной

Это нужно, чтобы понять какие номера кластеров нужно сравнивать

Обводка - это валидированные кластеры, точки - новые кластеры. Далее я указываю как надо сопоставлять кластеры (валидированный/TCGA-valid -> новый/TCGA-new):
- 1-> 7,
- 2 -> 2 + 8 (преимущественно),
- 3 -> 4 + 9,
- 4 -> 3 + 4,
- 5 -> смесь из 2 + 4 + 5 + 6 + 10,
- 6 -> 8,
- 7 -> 2 + 9,
- 8 -> 1 + 2,
- 9 -> 5,
- 10 -> 10

Сравнение частот генов на валидированной выборке TCGA и новые кластеры на ней же (номера кластеров не соответствовуют друг другу)

	TCGA-valid										TCGA-new
Показатели	1 N = 12	2 N = 22	3 N = 44	4 N = 62	5 N = 93	6 N = 5	7 N = 8	8 N = 33	9 N = 91	10 N = 13	1 N = 21	2 N = 36	3 N = 50	4 N = 38	5 N = 88	6 N = 56	7 N = 13	8 N = 18	9 N = 32	10 N = 31
MSI	0 (0%)	1 (4.5%)	44 (100%)	9 (15%)	10 (11%)	0 (0%)	2 (25%)	2 (6.1%)	2 (2.2%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	38 (100%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	32 (100%)	0 (0%)
BRAF	0 (0%)	0 (0%)	31 (70%)	0 (0%)	4 (4.3%)	0 (0%)	8 (100%)	6 (18%)	2 (2.2%)	1 (7.7%)	1 (4.8%)	17 (47%)	0 (0%)	11 (29%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	23 (72%)	0 (0%)
KRAS	9 (75%)	17 (77%)	7 (16%)	62 (100%)	79 (85%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	10 (28%)	50 (100%)	21 (55%)	0 (0%)	56 (100%)	9 (69%)	13 (72%)	5 (16%)	10 (32%)
NRAS	0 (0%)	0 (0%)	2 (4.5%)	2 (3.2%)	2 (2.2%)	0 (0%)	0 (0%)	7 (21%)	0 (0%)	13 (100%)	6 (29%)	4 (11%)	0 (0%)	2 (5.3%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	1 (3.1%)	13 (42%)
PIK3CA	8 (67%)	7 (32%)	14 (32%)	32 (52%)	30 (32%)	0 (0%)	1 (13%)	15 (45%)	12 (13%)	1 (7.7%)	9 (43%)	15 (42%)	23 (46%)	20 (53%)	13 (15%)	13 (23%)	9 (69%)	2 (11%)	10 (31%)	6 (19%)
TP53	0 (0%)	22 (100%)	8 (18%)	0 (0%)	93 (100%)	5 (100%)	8 (100%)	0 (0%)	91 (100%)	13 (100%)	0 (0%)	24 (67%)	0 (0%)	14 (37%)	88 (100%)	56 (100%)	0 (0%)	18 (100%)	9 (28%)	31 (100%)
PTEN	0 (0%)	4 (18%)	7 (16%)	6 (9.7%)	4 (4.3%)	0 (0%)	1 (13%)	3 (9.1%)	1 (1.1%)	1 (7.7%)	0 (0%)	9 (25%)	4 (8.0%)	3 (7.9%)	2 (2.3%)	0 (0%)	0 (0%)	2 (11%)	7 (22%)	0 (0%)
TRANSL	0 (0%)	0 (0%)	2 (4.5%)	0 (0%)	1 (1.1%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	1 (1.1%)	0 (0%)	0 (0%)	0 (0%)	2 (6.3%)	0 (0%)
APC	0 (0%)	1 (4.5%)	15 (34%)	62 (100%)	93 (100%)	0 (0%)	0 (0%)	27 (82%)	91 (100%)	12 (92%)	21 (100%)	17 (47%)	50 (100%)	38 (100%)	88 (100%)	56 (100%)	0 (0%)	0 (0%)	0 (0%)	31 (100%)
FBXW7	0 (0%)	7 (32%)	18 (41%)	11 (18%)	14 (15%)	0 (0%)	1 (13%)	8 (24%)	9 (9.9%)	2 (15%)	5 (24%)	9 (25%)	9 (18%)	11 (29%)	0 (0%)	0 (0%)	0 (0%)	3 (17%)	13 (41%)	20 (65%)
CTNNB1	0 (0%)	6 (27%)	6 (14%)	3 (4.8%)	8 (8.6%)	0 (0%)	0 (0%)	3 (9.1%)	0 (0%)	1 (7.7%)	0 (0%)	18 (50%)	0 (0%)	3 (7.9%)	0 (0%)	0 (0%)	0 (0%)	0 (0%)	5 (16%)	1 (3.2%)
SMAD4	1 (8.3%)	3 (14%)	9 (20%)	9 (15%)	23 (25%)	0 (0%)	2 (25%)	6 (18%)	0 (0%)	1 (7.7%)	5 (24%)	7 (19%)	6 (12%)	10 (26%)	8 (9.1%)	7 (13%)	1 (7.7%)	2 (11%)	5 (16%)	3 (9.7%)
PTEN_3	8 (67%)	8 (36%)	23 (52%)	32 (52%)	40 (43%)	1 (20%)	7 (88%)	16 (48%)	38 (42%)	4 (31%)	11 (52%)	20 (56%)	26 (52%)	19 (50%)	35 (40%)	27 (48%)	8 (62%)	4 (22%)	15 (47%)	12 (39%)
TP53_4	4 (33%)	0 (0%)	14 (32%)	8 (13%)	0 (0%)	0 (0%)	0 (0%)	9 (27%)	0 (0%)	0 (0%)	4 (19%)	2 (5.6%)	7 (14%)	7 (18%)	0 (0%)	0 (0%)	5 (38%)	0 (0%)	10 (31%)	0 (0%)

Сопоставленные кластеры (насколько возможно), p-value для упрощения сопоставления (глубокого смысла в нем нет)

По 1 точно

Показатели	Valid 1 N = 12	New 7 N = 13	p-value
MSI
0	12 (100%)	13 (100%)
BRAF
0	12 (100%)	13 (100%)
KRAS	9 (75%)	9 (69%)	>0.999
NRAS
0	12 (100%)	13 (100%)
PIK3CA	8 (67%)	9 (69%)	>0.999
TP53
0	12 (100%)	13 (100%)
PTEN
0	12 (100%)	13 (100%)
TRANSL
0	12 (100%)	13 (100%)
APC
0	12 (100%)	13 (100%)
FBXW7
0	12 (100%)	13 (100%)
CTNNB1
0	12 (100%)	13 (100%)
SMAD4	1 (8.3%)	1 (7.7%)	>0.999
PTEN_3	8 (67%)	8 (62%)	>0.999
TP53_4	4 (33%)	5 (38%)	>0.999

По 2 есть сомнения

Показатели	Valid 2 N = 22	New 2 N = 36	New 8 N = 18	p-value
MSI	1 (4.5%)	0 (0%)	0 (0%)	0.526
BRAF	0 (0%)	17 (47%)	0 (0%)	<0.001
KRAS	17 (77%)	10 (28%)	13 (72%)	<0.001
NRAS	0 (0%)	4 (11%)	0 (0%)	0.183
PIK3CA	7 (32%)	15 (42%)	2 (11%)	0.075
TP53	22 (100%)	24 (67%)	18 (100%)	<0.001
PTEN	4 (18%)	9 (25%)	2 (11%)	0.494
TRANSL
0	22 (100%)	36 (100%)	18 (100%)
APC	1 (4.5%)	17 (47%)	0 (0%)	<0.001
FBXW7	7 (32%)	9 (25%)	3 (17%)	0.587
CTNNB1	6 (27%)	18 (50%)	0 (0%)	<0.001
SMAD4	3 (14%)	7 (19%)	2 (11%)	0.778
PTEN_3	8 (36%)	20 (56%)	4 (22%)	0.053
TP53_4	0 (0%)	2 (5.6%)	0 (0%)	0.495

Ко 2 ближе всего 8

Показатели	Valid 2 N = 22	New 8 N = 18	p-value
MSI	1 (4.5%)	0 (0%)	>0.999
BRAF
0	22 (100%)	18 (100%)
KRAS	17 (77%)	13 (72%)	0.731
NRAS
0	22 (100%)	18 (100%)
PIK3CA	7 (32%)	2 (11%)	0.149
TP53
1	22 (100%)	18 (100%)
PTEN	4 (18%)	2 (11%)	0.673
TRANSL
0	22 (100%)	18 (100%)
APC	1 (4.5%)	0 (0%)	>0.999
FBXW7	7 (32%)	3 (17%)	0.464
CTNNB1	6 (27%)	0 (0%)	0.024
SMAD4	3 (14%)	2 (11%)	>0.999
PTEN_3	8 (36%)	4 (22%)	0.332
TP53_4
0	22 (100%)	18 (100%)

По 3 есть сомнения

Показатели	Valid 3 N = 44	New 4 N = 38	New 9 N = 32	p-value
MSI
1	44 (100%)	38 (100%)	32 (100%)
BRAF	31 (70%)	11 (29%)	23 (72%)	<0.001
KRAS	7 (16%)	21 (55%)	5 (16%)	<0.001
NRAS	2 (4.5%)	2 (5.3%)	1 (3.1%)	>0.999
PIK3CA	14 (32%)	20 (53%)	10 (31%)	0.093
TP53	8 (18%)	14 (37%)	9 (28%)	0.165
PTEN	7 (16%)	3 (7.9%)	7 (22%)	0.255
TRANSL	2 (4.5%)	0 (0%)	2 (6.3%)	0.380
APC	15 (34%)	38 (100%)	0 (0%)	<0.001
FBXW7	18 (41%)	11 (29%)	13 (41%)	0.466
CTNNB1	6 (14%)	3 (7.9%)	5 (16%)	0.590
SMAD4	9 (20%)	10 (26%)	5 (16%)	0.546
PTEN_3	23 (52%)	19 (50%)	15 (47%)	0.898
TP53_4	14 (32%)	7 (18%)	10 (31%)	0.330

К 3 ближе всего 9

Показатели	Valid 3 N = 44	New 9 N = 32	p-value
MSI
1	44 (100%)	32 (100%)
BRAF	31 (70%)	23 (72%)	0.893
KRAS	7 (16%)	5 (16%)	0.973
NRAS	2 (4.5%)	1 (3.1%)	>0.999
PIK3CA	14 (32%)	10 (31%)	0.958
TP53	8 (18%)	9 (28%)	0.304
PTEN	7 (16%)	7 (22%)	0.508
TRANSL	2 (4.5%)	2 (6.3%)	>0.999
APC	15 (34%)	0 (0%)	<0.001
FBXW7	18 (41%)	13 (41%)	0.980
CTNNB1	6 (14%)	5 (16%)	>0.999
SMAD4	9 (20%)	5 (16%)	0.592
PTEN_3	23 (52%)	15 (47%)	0.642
TP53_4	14 (32%)	10 (31%)	0.958

По 4 есть сомнения

Показатели	Valid 4 N = 62	New 3 N = 50	New 4 N = 38	p-value
MSI	9 (15%)	0 (0%)	38 (100%)	<0.001
BRAF	0 (0%)	0 (0%)	11 (29%)	<0.001
KRAS	62 (100%)	50 (100%)	21 (55%)	<0.001
NRAS	2 (3.2%)	0 (0%)	2 (5.3%)	0.294
PIK3CA	32 (52%)	23 (46%)	20 (53%)	0.783
TP53	0 (0%)	0 (0%)	14 (37%)	<0.001
PTEN	6 (9.7%)	4 (8.0%)	3 (7.9%)	>0.999
TRANSL
0	62 (100%)	50 (100%)	38 (100%)
APC
1	62 (100%)	50 (100%)	38 (100%)
FBXW7	11 (18%)	9 (18%)	11 (29%)	0.345
CTNNB1	3 (4.8%)	0 (0%)	3 (7.9%)	0.119
SMAD4	9 (15%)	6 (12%)	10 (26%)	0.171
PTEN_3	32 (52%)	26 (52%)	19 (50%)	0.981
TP53_4	8 (13%)	7 (14%)	7 (18%)	0.741

К 4 ближе всего 3

Показатели	Valid 4 N = 62	New 3 N = 50	p-value
MSI	9 (15%)	0 (0%)	0.004
BRAF
0	62 (100%)	50 (100%)
KRAS
1	62 (100%)	50 (100%)
NRAS	2 (3.2%)	0 (0%)	0.501
PIK3CA	32 (52%)	23 (46%)	0.555
TP53
0	62 (100%)	50 (100%)
PTEN	6 (9.7%)	4 (8.0%)	>0.999
TRANSL
0	62 (100%)	50 (100%)
APC
1	62 (100%)	50 (100%)
FBXW7	11 (18%)	9 (18%)	0.972
CTNNB1	3 (4.8%)	0 (0%)	0.252
SMAD4	9 (15%)	6 (12%)	0.698
PTEN_3	32 (52%)	26 (52%)	0.967
TP53_4	8 (13%)	7 (14%)	0.865

В 5 сборная солянка

Показатели	Valid 5 N = 93	New 2 N = 31	New 4 N = 36	New 5 N = 38	New 6 N = 88	New 10 N = 56	p-value
MSI	10 (11%)	0 (0%)	0 (0%)	38 (100%)	0 (0%)	0 (0%)
BRAF	4 (4.3%)	0 (0%)	17 (47%)	11 (29%)	0 (0%)	0 (0%)
KRAS	79 (85%)	10 (32%)	10 (28%)	21 (55%)	0 (0%)	56 (100%)	<0.001
NRAS	2 (2.2%)	13 (42%)	4 (11%)	2 (5.3%)	0 (0%)	0 (0%)	<0.001
PIK3CA	30 (32%)	6 (19%)	15 (42%)	20 (53%)	13 (15%)	13 (23%)	<0.001
TP53	93 (100%)	31 (100%)	24 (67%)	14 (37%)	88 (100%)	56 (100%)
PTEN	4 (4.3%)	0 (0%)	9 (25%)	3 (7.9%)	2 (2.3%)	0 (0%)	<0.001
TRANSL	1 (1.1%)	0 (0%)	0 (0%)	0 (0%)	1 (1.1%)	0 (0%)	>0.999
APC	93 (100%)	31 (100%)	17 (47%)	38 (100%)	88 (100%)	56 (100%)	<0.001
FBXW7	14 (15%)	20 (65%)	9 (25%)	11 (29%)	0 (0%)	0 (0%)
CTNNB1	8 (8.6%)	1 (3.2%)	18 (50%)	3 (7.9%)	0 (0%)	0 (0%)
SMAD4	23 (25%)	3 (9.7%)	7 (19%)	10 (26%)	8 (9.1%)	7 (13%)	0.030
PTEN_3	40 (43%)	12 (39%)	20 (56%)	19 (50%)	35 (40%)	27 (48%)	0.571
TP53_4	0 (0%)	0 (0%)	2 (5.6%)	7 (18%)	0 (0%)	0 (0%)	<0.001

По 6 точно

Показатели	Valid 6 N = 5	New 8 N = 18	p-value
MSI
0	5 (100%)	18 (100%)
BRAF
0	5 (100%)	18 (100%)
KRAS	0 (0%)	13 (72%)	0.007
NRAS
0	5 (100%)	18 (100%)
PIK3CA	0 (0%)	2 (11%)	>0.999
TP53
1	5 (100%)	18 (100%)
PTEN	0 (0%)	2 (11%)	>0.999
TRANSL
0	5 (100%)	18 (100%)
APC
0	5 (100%)	18 (100%)
FBXW7	0 (0%)	3 (17%)	>0.999
CTNNB1
0	5 (100%)	18 (100%)
SMAD4	0 (0%)	2 (11%)	>0.999
PTEN_3	1 (20%)	4 (22%)	>0.999
TP53_4
0	5 (100%)	18 (100%)

По 7 есть сомнения, определить конкретный не выходит

Показатели	Valid 7 N = 8	New 2 N = 36	New 9 N = 32	p-value
MSI	2 (25%)	0 (0%)	32 (100%)	<0.001
BRAF	8 (100%)	17 (47%)	23 (72%)	0.006
KRAS	0 (0%)	10 (28%)	5 (16%)	0.175
NRAS	0 (0%)	4 (11%)	1 (3.1%)	0.504
PIK3CA	1 (13%)	15 (42%)	10 (31%)	0.303
TP53	8 (100%)	24 (67%)	9 (28%)	<0.001
PTEN	1 (13%)	9 (25%)	7 (22%)	0.859
TRANSL	0 (0%)	0 (0%)	2 (6.3%)	0.375
APC	0 (0%)	17 (47%)	0 (0%)	<0.001
FBXW7	1 (13%)	9 (25%)	13 (41%)	0.208
CTNNB1	0 (0%)	18 (50%)	5 (16%)	0.001
SMAD4	2 (25%)	7 (19%)	5 (16%)	0.693
PTEN_3	7 (88%)	20 (56%)	15 (47%)	0.127
TP53_4	0 (0%)	2 (5.6%)	10 (31%)	0.009

По 8 есть сомнения, определить конкретный не выходит

Показатели	Valid 8 N = 33	New 1 N = 21	New 2 N = 36	p-value
MSI	2 (6.1%)	0 (0%)	0 (0%)	0.184
BRAF	6 (18%)	1 (4.8%)	17 (47%)	<0.001
KRAS	0 (0%)	0 (0%)	10 (28%)	<0.001
NRAS	7 (21%)	6 (29%)	4 (11%)	0.243
PIK3CA	15 (45%)	9 (43%)	15 (42%)	0.950
TP53	0 (0%)	0 (0%)	24 (67%)	<0.001
PTEN	3 (9.1%)	0 (0%)	9 (25%)	0.018
TRANSL
0	33 (100%)	21 (100%)	36 (100%)
APC	27 (82%)	21 (100%)	17 (47%)	<0.001
FBXW7	8 (24%)	5 (24%)	9 (25%)	0.994
CTNNB1	3 (9.1%)	0 (0%)	18 (50%)	<0.001
SMAD4	6 (18%)	5 (24%)	7 (19%)	0.891
PTEN_3	16 (48%)	11 (52%)	20 (56%)	0.841
TP53_4	9 (27%)	4 (19%)	2 (5.6%)	0.045

По 9 есть сомнения, что подходит 5

Показатели	Valid 9 N = 91	New 5 N = 88	p-value
MSI	2 (2.2%)	0 (0%)	0.497
BRAF	2 (2.2%)	0 (0%)	0.497
KRAS
0	91 (100%)	88 (100%)
NRAS
0	91 (100%)	88 (100%)
PIK3CA	12 (13%)	13 (15%)	0.760
TP53
1	91 (100%)	88 (100%)
PTEN	1 (1.1%)	2 (2.3%)	0.617
TRANSL	0 (0%)	1 (1.1%)	0.492
APC
1	91 (100%)	88 (100%)
FBXW7	9 (9.9%)	0 (0%)	0.003
CTNNB1
0	91 (100%)	88 (100%)
SMAD4	0 (0%)	8 (9.1%)	0.003
PTEN_3	38 (42%)	35 (40%)	0.787
TP53_4
0	91 (100%)	88 (100%)

По 10 есть сомнения, но вроде 10 подходит

Показатели	Valid 10 N = 13	New 10 N = 31	p-value
MSI
0	13 (100%)	31 (100%)
BRAF	1 (7.7%)	0 (0%)	0.295
KRAS	0 (0%)	10 (32%)	0.021
NRAS	13 (100%)	13 (42%)	<0.001
PIK3CA	1 (7.7%)	6 (19%)	0.654
TP53
1	13 (100%)	31 (100%)
PTEN	1 (7.7%)	0 (0%)	0.295
TRANSL
0	13 (100%)	31 (100%)
APC	12 (92%)	31 (100%)	0.295
FBXW7	2 (15%)	20 (65%)	0.003
CTNNB1	1 (7.7%)	1 (3.2%)	0.508
SMAD4	1 (7.7%)	3 (9.7%)	>0.999
PTEN_3	4 (31%)	12 (39%)	0.738
TP53_4
0	13 (100%)	31 (100%)