The Malignant Potential of Freshly Developed Colorectal Polyps According to Age

Yamaji, Yutaka; Mitsushima, Toru; Yoshida, Haruhiko; Watabe, Hirotsugu; Okamoto, Makoto; Wada, Ryoichi; Ikuma, Hitoshi; Kawabe, Takao; Omata, Masao

doi:10.1158/1055-9965.epi-06-0136

Cited by 14 publications

(15 citation statements)

References 23 publications

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“…Some patients had colon cancer due to congenital gene disorder, but others developed sporadically. They might have had previous colonic adenoma and then experienced malignant transformation into adenocarcinoma during longterm follow-up, especially in old age [2]. Clinicopathological parameters, such as age, tumor differentiation, margin, lymphovascular invasion, perineural invasion, tumor-nodemetastasis (TNM) status, and stage, were established to predict outcome of the disease, but these are insufficient to provide a definitive prognosis and further guidelines of treatment.…”

Section: Introductionmentioning

confidence: 99%

Serine Protease Inhibitor Kazal Type 1 (SPINK1) Promotes Proliferation of Colorectal Cancer Through the Epidermal Growth Factor as a Prognostic Marker

Chen

Tsao

Yuan

et al. 2015

Pathol. Oncol. Res.

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Serine protease inhibitor Kazal type-1 (SPINK1), a trypsin kinase inhibitor, is involved in inflammation, cell proliferation and carcinogenesis. The role and association between SPINK1, EGFR and Ki-67 in colorectal adenoma (CRA) and colorectal cancer (CRC) are still unknown. In this study, we used immunohistochemical stain to evaluate expression of SPINK1, EGFR and Ki-67 proteins in 30 CRA and 53 CRC patients semiquantitatively, and then analyzed their correlation with clinicopathologic parameters. Our results revealed that SPINK1 expression was noted in the upper and basal parts of the crypts in CRA and was more intensely related with cellular atypia. EGFR expression was found in 13 out of 30 adenomas, including 9 out of 15 adenomas with dysplasia or synchronous CRC (60 %), and 4 out of 15 adenomas without dysplasia (26.7 %). In CRC, high SPINK1 expression was significantly associated with males (p = 0.041) and advanced disease stage (p = 0.015). EGFR positivity was significantly correlated with higher T stage (p = 0.004) and disease stage (stage I-IV, p = 0.017; early vs. late, p = 0.015). Pearson's correlation showed positive correlation between the SPINK1 intensity and EGFR immunoreactivity (p = 0.011), and Ki-67 and SPINK1 intensity or percentage (p = 0.017 and p = 0.039 respectively). In Kaplan-Meier analyses, patients with high SPINK1 intensity tended to have shorter overall survival (p = 0.03). Concomitant expression of high SPINK1 intensity and EGFR was also identified as being associated with poor prognosis (p = 0.015). In conclusion, high SPINK1 expression is associated with advanced stage and poor prognosis. There is positive correlation between high SPINK1 expression, EGFR immunoreactivity, and high Ki-67 labeling index. The SPINK1 protein seems to play a role in tumor proliferation and malignant transformation through the EGFR pathway. SPINK1 may serve as a prognostic biomarker in therapeutic targeting in the future.

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Section: Introductionmentioning

confidence: 99%

Serine Protease Inhibitor Kazal Type 1 (SPINK1) Promotes Proliferation of Colorectal Cancer Through the Epidermal Growth Factor as a Prognostic Marker

Chen

Tsao

Yuan

et al. 2015

Pathol. Oncol. Res.

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“…although there was only a 0.9% local recurrence rate in comparison with our recurrence rate of 12%, their follow-up was shorter with a mean of 2.9 years in comparison with our follow-up of 69 months. 8 Yamaji et al 14 reported that as high as 42% of the polyps greater than 2 cm in size may contain cancer. in our series, only 5 of 66 (7.6%) polyps with a size greater than 2 cm were found to contain cancer.…”

Section: Discussionmentioning

confidence: 99%

“…the complication rate was 4.4% (2/48). median length of stay was 1 (0-6) day for endolaparoscopy vs 5 (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19) days for those converted to colectomy. median polyp size was 3 (1.0-7.0) cm.…”

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confidence: 99%

Dynamic Article

Lee¹,

Garrett²,

Shin³

et al. 2013

Diseases of the Colon &Amp; Rectum

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“…Our adenoma transition model and priors for associated parameters are informed by an analysis of colorectal polyp registry data reported by Nusko et al (1997) and a recent study of follow-up colonoscopy that provides evidence suggesting that the probability of transition depends on an individual's age at the time of adenoma onset (Yamaji et al 2006). We use a lognormal cumulative distribution function to describe the cumulative transition probability as a function of sex, size, and age at adenoma onset.…”

Section: Microsimulation Model For the Natural History Of Colorectmentioning

confidence: 99%

Bayesian Calibration of Microsimulation Models

Rutter

Miglioretti

Savarino

2009

Journal of the American Statistical Association

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Microsimulation models that describe disease processes synthesize information from multiple sources and can be used to estimate the effects of screening and treatment on cancer incidence and mortality at a population level. These models are characterized by simulation of individual event histories for an idealized population of interest. Microsimulation models are complex and invariably include parameters that are not well informed by existing data. Therefore, a key component of model development is the choice of parameter values. Microsimulation model parameter values are selected to reproduce expected or known results though the process of model calibration. Calibration may be done by perturbing model parameters one at a time or by using a search algorithm. As an alternative, we propose a Bayesian method to calibrate microsimulation models that uses Markov chain Monte Carlo. We show that this approach converges to the target distribution and use a simulation study to demonstrate its finite-sample performance. Although computationally intensive, this approach has several advantages over previously proposed methods, including the use of statistical criteria to select parameter values, simultaneous calibration of multiple parameters to multiple data sources, incorporation of information via prior distributions, description of parameter identifiability, and the ability to obtain interval estimates of model parameters. We develop a microsimulation model for colorectal cancer and use our proposed method to calibrate model parameters. The microsimulation model provides a good fit to the calibration data. We find evidence that some parameters are identified primarily through prior distributions. Our results underscore the need to incorporate multiple sources of variability (i.e., due to calibration data, unknown parameters, and estimated parameters and predicted values) when calibrating and applying microsimulation models.

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The Malignant Potential of Freshly Developed Colorectal Polyps According to Age

Cited by 14 publications

References 23 publications

Serine Protease Inhibitor Kazal Type 1 (SPINK1) Promotes Proliferation of Colorectal Cancer Through the Epidermal Growth Factor as a Prognostic Marker

Serine Protease Inhibitor Kazal Type 1 (SPINK1) Promotes Proliferation of Colorectal Cancer Through the Epidermal Growth Factor as a Prognostic Marker

Dynamic Article

Bayesian Calibration of Microsimulation Models

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