Silencing of MPP8 also decreased the expression of metastasis pathway-related proteins (N-cadherin and vimentin), and as well as the levels of anti-oncogene ZEB1, MET, and KRAS mRNA.
KRAS and GNAS are frequently altered in low-grade AMTs, while TP53 is frequently altered in high-grade AMTs, with no apparent change in expression between primary and metastatic tumors.
Right-sided tumors had highest frequency of peritoneal metastasis as compared to left-sided or rectal tumors (34.7% versus 15.8% versus 8.8%, P = 0.00) regardless of KRAS status (32.6% versus 38.5%, P = 0.62).
Meanwhile, based on the level of stromal infiltrating lymphocytes (SIL) infiltration, analysis of CRC patients was statistically associated with a location (p = 0.002), TNM stage (p < 0.001), metastasis (p < 0.001), and KRAS mutation (p = 0.031).
We found rs11246050 in NLRP6 (dominant model, OR/95% CI: 2.028/1.091-3.769, p = 0.025), rs2286742 and rs3740530 in HABP2 (recessive model, OR/95% CI: 9.644/1.307-71.16, p = 0.026 and 3.989/1.413-11.26, p = 0.009), rs2736098 in TERT (recessive model, OR/95% CI: 2.322/1.028-5.242. p = 0.042) and rs62054619 in GAS8-AS1 (recessive model, OR/95% CI: 2.219/1.067-4.617, p = 0.033) were associated with the risk of PTC. rs1137282 in KRAS (dominant model, OR/95% CI: 0.5430/0.3192-0.9236, p = 0.024), rs1347591 and rs4461062 in NUP93 (dominant model, OR/95% CI: 0.6121/0.4128-0.9076, p = 0.015 and 0.6156/0.4157-0.9117, p = 0.015) were associated with low risk of distant metastatic disease in PTC patients. rs33954691 in TERT was associated with the risk of RR-PTC under dominant model (OR/95% CI: 3.161/1.596-6.262).
Next-generation sequencing using 12 samples (11 primary tumors and 1 metastatic tumor) revealed 42 single nucleotide variations in 16 genes, mostly in KRAS (10/12) and ARID1A (9/12).
The mutant allele frequency of KRAS in metachronous metastases was higher in 6 cases (mean difference =% 25.5% (range, 9.5%-58.0%)) and lower in 3 cases (mean difference = 9.3% (range, 8.0-10.0%) compared with each of their primary tumors.
Review of literature revealed high discordant rates of EGFR and KRAS mutations, especially when Sanger sequencing was applied to examine primary and lymph node metastatic tumors.
The inhibition of miR-199b stimulated NSCLC growth and metastasis, while restoration of miR-199b suppressed K-Ras mutation-driven lung tumorigenesis as well as K-Ras-mutated NSCLC growth and metastasis. miR-199b inactivated ERK and Akt pathways by targeting K-Ras, KSR2, PIK3R1, Akt1, and Rheb1.
m-KRAS is associated with worse OS in patients presenting with colorectal cancer and liver metastases undergoing resection of the primary tumor and metastatic disease.
Furthermore, miR-103a-3p inhibited growth and metastasis via effects on the KRAS pathway and epithelial-to-mesenchymal transition in EGFR wild-type NSCLC cell lines, respectively, which substantially reduced EGFR expression and activity.
We report that TBK1 supports the growth and metastasis of KRAS-mutant PDA by driving an epithelial plasticity program in tumor cells that enhances invasive and metastatic capacity.
The mutant allele frequency of KRAS in metachronous metastases was higher in 6 cases (mean difference =% 25.5% (range, 9.5%-58.0%)) and lower in 3 cases (mean difference = 9.3% (range, 8.0-10.0%) compared with each of their primary tumors.
The oncogene KRAS not only promotes the tumorigenesis of pancreatic cancers but also is required for the malignant progression and metastasis of these cancers.
In this study, we report the application of ddPCR technology in order to analyze the presence of KRAS mutations in primary tumor and matched metastasis in lymph nodes (LNs) from patients with mCRC and address the question, whether the improvement in the detection method can lower the discrepancies of KRAS mutations detection between the primary tumor and regional LNs.
Mutational status for KRAS, NRAS, and BRAF genes should be performed on all colorectal carcinoma (CRC) specimens in order to guide targeted therapy selection for metastatic disease.
This is a retrospective study to explore the outcome of patients with mCRC based on their site of metastasis at diagnosis and to explore the association between tumor characteristics [KRAS/RAS, BRAF, mismatch repair (MMR) status, site of primary] and the site of metastasis.
The following algorithm was applied: "(colorectal OR rectal OR colon OR colonic) AND (liver OR hepatic) AND (metastasis OR metastases) AND (gene OR mutation OR KRAS OR BRAF OR SMAD4 OR RAS OR TP53 OR P53 OR APC OR PI3K OR MSI OR EGFR OR MACC1 OR microsatellite)."