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1 levels and lower risks of breast cancer and colorectal cancer.
2 nt peptide, in a population at high risk for colorectal cancer.
3 1-dependent proteomic ECM signature in human colorectal cancer.
4 mutated in human cancers, including ~30% of colorectal cancer.
5 diseases including breast cancer, glioma and colorectal cancer.
6 clear cell renal cell carcinoma (ccRCC) and colorectal cancer.
7 es was demonstrated in preclinical models of colorectal cancer.
8 ons by identifying those at greatest risk of colorectal cancer.
9 CC/UICC TNM classification for patients with colorectal cancer.
10 malignant mutational genotypes on the way to colorectal cancer.
11 patitis B virus infection, and screening for colorectal cancer.
12 tion and the incidence of and mortality from colorectal cancer.
13 evidence for increased risks of prostate or colorectal cancer.
14 copy is crucial in reducing the mortality of colorectal cancer.
15 n tumor-bearing mice and patients with human colorectal cancer.
16 a chemotherapeutic drug widely used to treat colorectal cancer.
17 om two independent cohorts, predominantly in colorectal cancer.
18 atherosclerosis, and inflammation-associated colorectal cancer.
19 colorectal lesions in high-risk patients for colorectal cancer.
20 egy as compared with PIK3CA WT patients with colorectal cancer.
21 se metastasis and orthotopic models of human colorectal cancer.
22 el syndrome, inflammatory bowel disease, and colorectal cancer.
23 ith disease-specific and overall survival in colorectal cancer.
24 lities of stage II/III rectal and metastatic colorectal cancer.
25 mbats Wnt pathway-dependent cancers, such as colorectal cancer.
26 marking it a potential therapeutic target in colorectal cancer.
27 oplasia, including polyps, the precursor for colorectal cancer.
28 2 and NOX1 in inflammatory bowel disease and colorectal cancer.
29 microsatellite stable subtype or late stage colorectal cancer.
30 ity and mortality from prostate, breast, and colorectal cancers.
31 ntibody therapy, and microsatellite instable colorectal cancers.
32 olyposis coli (APC) is frequently mutated in colorectal cancers.
33 he second most frequent in head-and-neck and colorectal cancers.
34 whom with early stage and 91 with late stage colorectal cancers.
35 th of PIK3CA-mutant, but not wild-type (WT), colorectal cancers.
36 ing after breast cancer (2.1 million cases), colorectal cancer (0.8 million) and lung cancer (0.7 mil
38 583 patients with breast cancer, 24 975 with colorectal cancer, 6744 with oesophageal cancer, and 29
39 lasia were associated with increased risk of colorectal cancer (adjusted hazard ratios 9.25; 95% conf
40 implicated in initiation and progression of colorectal cancer along with major players such as intes
41 rovide new insights into the pathogenesis of colorectal cancer and a novel potential therapeutic targ
42 synthetic pathway, as a target in APC mutant colorectal cancer and also have implications for the cli
43 le agent in primary and metastatic models of colorectal cancer and enabled identification of novel mi
44 anism underlying a case of highly aggressive colorectal cancer and illustrates the importance of robu
45 describes a distinct mutational signature in colorectal cancer and implies that the underlying mutati
46 re, generating tetraploid isogenic clones in colorectal cancer and in non-transformed cells, we show
50 me NAT2 at 8p22, which is frequently lost in colorectal cancers and has a common variant with 10-fold
51 ach for treating patients with PIK3CA-mutant colorectal cancers and warrants further clinical evaluat
52 The ESRP1 transcript is reduced in primary colorectal cancer, and its expression correlates with th
54 (LS) predisposes to endometrial cancer (EC), colorectal cancer, and other cancers through inherited p
55 y mutations in gastric cancer, liver cancer, colorectal cancer, and pancreatic cancer were 5% (95% CI
56 ence for Wnt-induced functional diversity of colorectal cancer-associated fibroblasts, representing a
57 n tested for Wnt-dependent cancers including colorectal cancer, but are unsuccessful due to severe ad
58 n human pancreatic ductal adenocarcinoma and colorectal cancer by impairing the function of the chemo
61 We find that the reported lifetime risk of colorectal cancer can be recovered using a mathematical
62 y is aberrantly activated in the majority of colorectal cancer cases due to somatic mutations in the
64 sues and of cancers, including datasets from colorectal cancer (CC), prostate cancer (PC), lung cance
65 ase and alpha-glucosidase activities and ii) colorectal cancer cell line (HT29) growth was also studi
67 analyzed RNA sequencing (RNA-seq) data from colorectal cancer cell lines (HCT116, RKO, and SW48) tha
69 ression of these mutants in SW480 and HCT116 colorectal cancer cell lines increased their anchorage-i
70 tants were overexpressed in SW480 and HCT116 colorectal cancer cell lines, which were analyzed by imm
71 changes in DNA methylation to determine the colorectal cancer cell phenotype following loss of Apc f
72 inoculated with hFcRn-expressing HT-29 human colorectal cancer cell xenografts, compared to CRISPR/Ca
73 The expression of full-length APC in SW480 colorectal cancer cells (SW480+APC) not only reduces Wnt
74 fication of ERK1/2 signaling in KRAS-mutated colorectal cancer cells affects the cytokine milieu of t
76 y amplified ERK1/2 signaling in KRAS-mutated colorectal cancer cells as a driver of tumor-stroma inte
77 inhibitor) efficiently promoted apoptosis in colorectal cancer cells in response to Nutlin-3A, which
78 graft model, overexpression of miR-1185-1 in colorectal cancer cells substantially reduced tumor grow
80 We found that 5-FU resistance in DLD-1/5-FU colorectal cancer cells was mainly associated with SM in
81 hibitors) compounds are selectively toxic to colorectal cancer cells with APC mutations, although the
84 itor was mitochondria toxic and cytotoxic to colorectal cancer cells, but not to normal colon epithel
86 issue of Science, Russo et al. observe that colorectal cancer cells, when exposed to the pressure of
87 ne ANGPT2 and the cytokine receptor CXCR4 in colorectal cancer cells, which facilitated development o
92 deep proteomic profiling of two independent colorectal cancer cohorts using mass spectrometry showed
93 participants who received aspirin developed colorectal cancer compared with 58 (13%) of 434 who rece
94 mproves survival of patients with metastatic colorectal cancer compared with doublets + bevacizumab a
95 rld's highest recorded incidence of sporadic colorectal cancer (CRC) (~91:100,000), whereas rural Afr
96 inical experience with mt-sDNA screening for colorectal cancer (CRC) and compare results with CT colo
98 ly screen for Lynch syndrome (LS)-associated colorectal cancer (CRC) and endometrial cancer (EC), but
99 rium nucleatum is implicated in accelerating colorectal cancer (CRC) and is found within metastatic C
100 igher proportion of patients with vs without colorectal cancer (CRC) and promote colorectal carcinoge
101 a better prognosis among male patients with colorectal cancer (CRC) and the role of open surgery in
103 il (5-FU) is a standard treatment option for colorectal cancer (CRC) but its rapid metabolism and sys
106 types but is abundant in well-differentiated colorectal cancer (CRC) cells where it functions to inhi
107 the release of Cas9 RNP into 293T cells and colorectal cancer (CRC) cells, thus displaying high geno
109 nical tissues from 146 patients in a Chinese colorectal cancer (CRC) cohort, among which 70 had metas
111 of nuclear beta-catenin and a suppressor of colorectal cancer (CRC) growth in cell culture and mouse
112 us molecular subtype (CMS) classification of colorectal cancer (CRC) has been established, which may
114 nical efforts, patients affected by advanced colorectal cancer (CRC) have still a poor prognosis.
115 In contrast to the decreasing incidence of colorectal cancer (CRC) in older populations, the incide
116 ite advances in the detection and therapy of colorectal cancer (CRC) in recent years, CRC has remaine
119 idence that colonoscopy surveillance reduces colorectal cancer (CRC) incidence or mortality is weak.
123 treatment options available to patients with colorectal cancer (CRC) is increasing, with a parallel r
129 of memory T cell response is inefficient in colorectal cancer (CRC) liver metastasis following exist
135 sue samples from a cohort of 432 chemo-naive colorectal cancer (CRC) patients iteratively labeled wit
136 tly, recurrence-free and overall survival of colorectal cancer (CRC) patients negatively correlates w
138 Radioembolization is a treatment option for colorectal cancer (CRC) patients with inoperable, chemor
139 cleatum is an oral bacterium associated with colorectal cancer (CRC) proliferation, chemoresistance,
140 ontaining protein 1 (CDCP1) is predictive of colorectal cancer (CRC) recurrence and poor patient surv
146 ddress these deficiencies with biofabricated colorectal cancer (CRC) tissue equivalents, which are bu
147 ate microRNA-34a gene (MIR34A) expression in colorectal cancer (CRC) tissues compared with non-cancer
150 lected from 2019 patients with stage I - III colorectal cancer (CRC) using convolutional neural netwo
151 The gut microbiota has been associated with colorectal cancer (CRC), but causal alterations precedin
152 bolism has been linked to the development of colorectal cancer (CRC), but the underlying mechanism is
153 re analysis (TA) for differentiating between colorectal cancer (CRC), colonic lesions caused by infla
154 immunity in syngeneic and genetic models of colorectal cancer (CRC), which can be attributed to defe
176 eostasis and is aberrantly activated in most colorectal cancers (CRC) through mutation of the tumor s
177 e its importance in human cancers, including colorectal cancers (CRC), oncogenic KRAS has been extrem
179 illous histology or high-grade dysplasia, or colorectal cancer [CRC]) and assessed whether baseline c
180 In all, we captured 31,587 colectomies, 5608 colorectal cancers (CRCs) 6608 cholecystectomies, and 41
181 e the prominent CD73(hi) population in human colorectal cancers (CRCs) and two CD73(-) murine tumor m
184 led how netrin interacts with the deleted in colorectal cancer (DCC) receptor, other receptors, and c
187 ylation profiles are considered hallmarks of colorectal cancer development, the precise timing at whi
189 was to examine whether the increased risk of colorectal cancer due to cigarette smoking differed by a
191 longer survival in patients with early stage colorectal cancer, especially longer disease-free surviv
192 ein (BMP) gradients drive this polarity, and colorectal cancer fundamentally reflects disruption of t
193 several modifier candidates were depleted in colorectal cancer genomes, suggesting that similar mecha
194 [HR: 0.80 (0.66, 0.98); P-trend = 0.01] and colorectal cancer [HR: 0.41 (0.21, 0.79); P-trend = 0.01
195 en associated with lower risks of breast and colorectal cancer in epidemiological studies; however, i
196 er incidence, but an increasing incidence of colorectal cancer in formerly low-incidence regions duri
197 ceptor (EGFR), and E-cad are associated with colorectal cancer in humans [10-17], our findings may sh
201 osphate (NADPH) production, lipogenesis, and colorectal cancers in which ME1 transcripts are upregula
202 d carcinoid tumors (which are classified as "colorectal cancer" in SEER [Surveillance, Epidemiology,
203 evelop a risk classification system based on colorectal cancer incidence and mortality following aden
206 t highly activated fibroblasts in metastatic colorectal cancer increase tissue stiffness and angiogen
207 Here we develop a mathematical model of colorectal cancer initiation through inactivation of two
208 n be recovered using a mathematical model of colorectal cancer initiation together with experimentall
209 onic antigen (CEA, an important biomarker in colorectal cancer), integrated in the electrical circuit
211 monstrate that the order of driver events in colorectal cancer is determined primarily by the fitness
214 nt signaling has been intensively studied in colorectal cancer, it remains unclear whether activity i
215 variants may prove predictive of early-onset colorectal cancer known an MUTYH-associated polyposis.
218 n therapy (SIRT) in patients with metastatic colorectal cancer (mCRC), when informed by radiobiologic
221 r types (different grades of breast cancers, colorectal cancer, melanoma, and insulinoma) and other d
223 all survival for patients after diagnosis of colorectal cancer metastatic disease, yet how RAS-ERK si
224 wed a trend that PIK3CA-mutant patients with colorectal cancer might derive greater benefit from this
233 cancer, five gynaecological malignancy, four colorectal cancer, one melanoma, and seven multiple myel
234 rval [CI]: 0.27 to 0.98, P-value = 0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-val
237 RBD variants, we stratified patient-derived colorectal cancer organoids with known Ras mutational st
238 des the longest overall survival reported in colorectal cancer patient with nonresectable liver metas
240 selective biomarker that is able to identify colorectal cancer patients who are responding to anti-an
241 e Atlas Database indicates that KRAS mutated colorectal cancer patients with low intratumor ferritin
242 his prospective (SECA-II) study, we included colorectal cancer patients with nonresectable liver-only
243 y unclear role of steroid hormones in female colorectal cancer patients, our findings suggest a tumor
244 owards a disease-like configuration occur in colorectal cancer patients, thereby masking disease sign
246 n support of a potential role of ferritin in colorectal cancer progression, an analysis of The Cancer
247 and inflammation are a critical component of colorectal cancer progression, and they are used as reli
250 dolescent obesity and its associated risk of colorectal cancer reinforces the urgent need to elucidat
251 r adult intestinal stem cell homeostasis and colorectal cancer, relatively little is known about its
253 a biomarker of patient outcome after primary colorectal cancer resection by directly analysing scanne
254 oscopic surgery, mortality and morbidity for colorectal cancer resections by Lapco delegates and non-
255 biopsies of 20 independent patients with MSI colorectal cancer revealed that a median number of 31 FS
258 tion to polyp characteristics in determining colorectal cancer risk after colonoscopy screening.
259 Cox models to identify associations between colorectal cancer risk and patient and adenoma character
260 rocessed meat has been suspected to increase colorectal cancer risk potentially via endogenous format
261 en dietary fruit or fiber intake and overall colorectal cancer risk that have previously been reporte
263 res the effect of physician notification for colorectal cancer screening and cancer detection on pati
265 hysicians to increase their participation in colorectal cancer screening, which could, in turn, motiv
269 afflicted with pancreatic, breast, colon and colorectal cancer show that our proposed method is compe
270 eveloped a deep-learning system that detects colorectal cancer specimens with dMMR or MSI using H&E-s
273 vels of EMGS expression were detected in the colorectal cancer subsets consensus molecular subtype (C
274 ktE17K tumors resemble the human mesenchymal colorectal cancer subtype (CMS4), which is characterized
275 The 3.2% proportion of LS-EC is similar to colorectal cancer, supporting unselected screening of EC
277 Lapco increased the rate of laparoscopic colorectal cancer surgery and reduced mortality and morb
278 nts were recruited from medical oncology and colorectal cancer surgery departments in three hospitals
280 ancolonic chromoendoscopy is recommended for colorectal cancer surveillance in patients with Lynch sy
282 This study explores associations between colorectal cancer survivors' healthcare experiences and
283 are an important histopathologic feature of colorectal cancer that confer prognostic information.
285 ogene, accounting for the well-known path to colorectal cancer through loss of tumor suppressors APC
286 ion of miR-1185-1 was downregulated in human colorectal cancer tissues, whereas expression of CD24 wa
287 needed to stratify patients with early-stage colorectal cancer to refine selection of adjuvant therap
288 excised hormone receptor-positive breast and colorectal cancers to predict overall patient survival.
290 ed in colorectal cancer cell lines and human colorectal cancer tumoroids harboring a mutation at S45
291 ation to real data collected from metastatic colorectal cancer tumors, more associations between gene
293 F screening guidelines for lung, breast, and colorectal cancer via their website, and reviewed all re
297 0 is overexpressed in many cancers including colorectal cancer, where overexpression is associated wi
298 formulate oral cetuximab (CTX) for targeting colorectal cancer, which is reported to express somatost
300 n proposed as a candidate oncogene for human colorectal cancers with microsatellite instability and a