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1.
Sichuan Da Xue Xue Bao Yi Xue Ban ; 51(3): 361-364, 2020 May.
Artigo em Zh | MEDLINE | ID: mdl-32543143

RESUMO

OBJECTIVE: To investigate the expression of follistatin related gene ( FLRG) in colon cancer and its relationship with clinicopathological features of colon cancer. METHODS: The cancer tissue, paracancerous tissue and normal tissue were collected from 80 patients with colon cancer who underwent radical operation from December 2018 to December 2019. Immunohistochemistry and Real-time PCR were carried out to examine the expression of FLRG and the clinical implications of FLRG was further analyzed. RESULTS: The expression of FLRG in colon cancer tissues was significantly higher than that in paracancerous tissues and normal tissues ( P<0.05), and the expression of FLRG in paracancerous tissues was significantly higher than that in normal tissues ( P<0.05). There was no significant difference in the expression of FLRG among colon cancer patients with different sex, age, tumor growth location and differentiation degree ( P>0.05). The expression level of FLRG in patients with distant metastasis was higher than that in patients without distant metastasis ( P<0.05), and the expression level of FLRG in patients with late clinical stage (stage Ⅲ and Ⅳ) was higher than that in patients with earlier clinical stage (stage Ⅰ and Ⅱ) ( P<0.05). CONCLUSION: FLRG is up-regulated in colon cancer tissue, which may be involved in the regulation of tumor development. FLRG may be a potential prognostic target.


Assuntos
Neoplasias do Colo , Proteínas Relacionadas à Folistatina , Neoplasias do Colo/genética , Humanos , Imuno-Histoquímica , RNA Mensageiro , Regulação para Cima
2.
Mol Biol Rep ; 38(2): 997-1004, 2011 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-20526812

RESUMO

The identification and separation of small intestinal epithelial stem cells are still on the preliminary stage. In this study, we planned to utilize immunohistochemistry, fluorescence-activated cell sorting (FACS) and RT-PCR to investigate the possibility of CD133 and CD44 as markers of human small intestinal epithelial stem cells. The expressions of CD133, CD44 and Lgr5 were studied by immunohistochemistry. Four subgroups of CD133(+)CD44(+), CD133(+)CD44(-), CD133(-)CD44(+), CD133(-)CD44(-) were sorted out through FACS and the expression level of Lgr5 gene was measured by RT-PCR and polyacrylamide gel electrophoresis (PAGE) with silver stained. Ten cases of samples were available for analyzing. By immunohistochemical staining, few cells with positive expressions of CD133, CD44 and Lgr5 were distributed in the bottom of crypts with the expression locations somewhat overlapped. The average percentage of CD133(+)CD44(+) cells was 0.0580 ± 0.0403%, while the corresponding contents of CD133(+)CD44(-) cells, CD133(-)CD44(+) cells and CD133(-)CD44(-) cells were 0.4000 ± 0.1225%, 0.7000 ± 0.2646% and 76.5600 ± 3.5529% respectively. Ten times of positive expressions of Lgr5 were detected in the CD133(+)CD44(+) groups, while 9/10, 8/10 and 4/10 times for CD133(+)CD44(-), CD133(-)CD44(+) and CD133(-)CD44(-) subgroups respectively. With the help of Quantityone 4.62 software, the densities of corresponding place to Lgr5 and reference gene were obtained. The density ratios of corresponding place to Lgr5 to reference gene were significant difference between subgroups (P < 0.001). By means of LSD method, the density ratios in CD133(+)CD44(+) subgroups had statistical differences from the other subgroups (P < 0.05). We concluded CD133(+)CD44(+) cells may be human small intestinal epithelial stem cells, which need further researches to confirm.


Assuntos
Antígenos CD/biossíntese , Glicoproteínas/biossíntese , Receptores de Hialuronatos/biossíntese , Intestino Delgado/citologia , Células-Tronco/citologia , Antígeno AC133 , Adulto , Idoso , Feminino , Citometria de Fluxo/métodos , Humanos , Imuno-Histoquímica/métodos , Jejuno/patologia , Masculino , Pessoa de Meia-Idade , Peptídeos , Reação em Cadeia da Polimerase Via Transcriptase Reversa
3.
Sci Rep ; 10(1): 11554, 2020 07 14.
Artigo em Inglês | MEDLINE | ID: mdl-32665546

RESUMO

This study is to investigate optimum apparent diffusion coefficient (ADC) parameter for predicting lymphovascular invasion (LVI), lymph node metastasis (LNM) and histology type in resectable rectal cancer. 58 consecutive patients with resectable rectal cancer were retrospectively identified. The minimum, maximum, average ADC and ADC difference value were obtained on ADC maps. Maximum ADC and ADC difference value increased with the appearance of LVI (r = 0.501 and 0.495, P < 0.001, respectively) and development of N category (r = 0.615 and 0.695, P < 0.001, respectively). ADC difference value tended to rise with lower tumor differentiation (r = - 0.269, P = 0.041). ADC difference value was an independent risk factor for predicting LVI (odds ratio = 1.323; P = 0.005) and LNM (odds ratio = 1.526; P = 0.005). Maximum ADC and ADC difference value could distinguish N0 from N1 category, N0 from N1-N2, N0-N1 from N2 (all P < 0.001). Only ADC difference value could distinguish histology type (P = 0.041). ADC difference value had higher area under the receiver operating characteristic curve than maximum ADC in identifying LVI (0.828 vs 0.797), N0 from N1 category (0.947 vs 0.847), N0 from N1-N2 (0.935 vs 0.874), and N0-N1 from N2 (0.814 vs 0.770). ADC difference value may be superior to the other ADC value parameters to predict LVI, N category and histology type of resectable rectal cancer.


Assuntos
Imagem de Difusão por Ressonância Magnética , Neoplasias Retais/diagnóstico , Neoplasias Retais/cirurgia , Adulto , Idoso , Idoso de 80 Anos ou mais , Biópsia , Feminino , Neoplasias Gastrointestinais/diagnóstico , Neoplasias Gastrointestinais/patologia , Neoplasias Gastrointestinais/cirurgia , Humanos , Interpretação de Imagem Assistida por Computador , Metástase Linfática , Masculino , Pessoa de Meia-Idade , Variações Dependentes do Observador , Razão de Chances , Prognóstico , Curva ROC , Neoplasias Retais/patologia , Estudos Retrospectivos , Fatores de Risco , Adulto Jovem
4.
Oncotarget ; 9(15): 12432-12442, 2018 Feb 23.
Artigo em Inglês | MEDLINE | ID: mdl-29552323

RESUMO

PURPOSE: To determine whether gross tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography could predict presence of lymphovascular invasion and T-stages. RESULTS: Gross tumor volume increased with the lymphovascular invasion (r = 0.426, P < 0.0001) and T stage (r = 0.656, P < 0.0001). Univariate analysis showed gross tumor volume could predict lymphovascular invasion (P < 0.0001). Multivariate analyses indicated gross tumor volume as an independent risk factor of lymphovascular invasion (P = 0.026, odds ratio = 2.284). The Mann-Whitney U test showed gross tumor volume could distinguish T2 from T3, T1 from T2-T4a, T1-T2 from T3-T4a and T1-T3 from T4a (P = 0.000). In the development cohort, gross tumor volume could predict lymphovascular invasion (cutoff, 15.92 cm3; AUC, 0.760), and distinguish T2 from T3 (cutoff, 10.09 cm3; AUC, 0.828), T1 from T2-T4a (cutoff, 8.20 cm3; AUC, 0.860), T1-T2 from T3-T4a (cutoff, 15.88 cm3; AUC, 0.883), and T1-T3 from T4a (cutoff, 21.53 cm3; AUC, 0.834). In validation cohort, gross tumor volume could predict presence of lymphovascular invasion (AUC, 0.742), and distinguish T2 from T3 (AUC, 0.861), T1 from T2-T4a (AUC, 0.859), T1-T2 from T3-T4a (AUC, 0.875), and T1-T3 from T4a (AUC, 0.773). MATERIALS AND METHODS: 360 consecutive patients with gastric adenocarcinoma were retrospectively identified. Gross tumor volume was evaluated on multidetector computed tomography images. Statistical analysis was performed to determine whether gross tumor volume could predict presence of lymphovascular invasion and T-stages. Cutoffs of gross tumor volume were first investigated in 212 patients and then validated in an independent 148 patients using area under the receiver operating characteristic curve (AUC) for predicting lymphovascular invasion and T-stages. CONCLUSIONS: Gross tumor volume of resectable gastric adenocarcinoma at multidetector computed tomography demonstrated capability in predicting lymphovascular invasion and distinguishing T-stages.

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