IMPORTANCE Apart from hysterectomy, there is no consensus recommendation for reducing endometrial cancer risk for women with a mismatch repair gene mutation (Lynch syndrome).OBJECTIVE To investigate the association between hormonal factors and endometrial cancer risk in Lynch syndrome. DESIGN, SETTING, AND PARTICIPANTSA retrospective cohort study included 1128 women with a mismatch repair gene mutation identified from the Colon Cancer Family Registry. Data were analyzed with a weighted cohort approach. Participants were recruited between 1997 and 2012 from centers across the United States, Australia, Canada, and New Zealand.EXPOSURES Age at menarche, first and last live birth, and menopause; number of live births; hormonal contraceptive use; and postmenopausal hormone use. MAIN OUTCOMES AND MEASURES Self-reported diagnosis of endometrial cancer.RESULTS Endometrial cancer was diagnosed in 133 women (incidence rate per 100 person-years, 0.29; 95% CI, 0.24 to 0.34). Later age at menarche, parity (Ն1 live births), and hormonal contraceptive use (Ն1 year) were associated with a lower risk of endometrial cancer. No. (%) of Women Incidence Hazard Ratio (95% CI) With Available Data Diagnosed With Endometrial Cancer Incidence per 100 Person-Years Difference (95% CI) Age at menarche ≥13 Years 639 70 (11) 0.27 −0.04 (−0.15 to 0.05) 0.70 (0.44 to 1.11) <13 Years (reference) 454 57 (12.6) 0.31 Risk per year 0.85 (0.73 to 0.99) Parity ≥1 Live births 815 88 (10.8) 0.25 −0.18 (−0.32 to −0.04) 0.21 (0.10 to 0.42) Nulliparous (reference) 278 40 (14.4) 0.43 Hormonal contraceptive use ≥1 Year 803 70 (8.7) 0.22 −0.23 (−0.36 to −0.11) 0.39 (0.23 to 0.64) <1 Year (reference) 297 57 (19.2) 0.45 Risk per year 0.93 (0.89 to 0.97)There was no statistically significant association between endometrial cancer and age at first and last live birth, age at menopause, and postmenopausal hormone use. CONCLUSIONS AND RELEVANCEFor women with a mismatch repair gene mutation, some endogenous and exogenous hormonal factors were associated with a lower risk of endometrial cancer. These directions and strengths of associations were similar to those for the general population. If replicated, these findings suggest that women with a mismatch repair gene mutation may be counseled like the general population in regard to hormonal influences on endometrial cancer risk.

Our results provide additional evidence that, for MMR gene mutation carriers, use of aspirin and ibuprofen might be effective in reducing their high risk of colorectal cancer.

In this paper, we show some experimental results of tree-adjunct grammar guided genetic programming [6] (TAG3P) on the symbolic regression problem, a benchmark problem in genetic programming. We compare the results with genetic programming [9] (GP) and grammar guided genetic programming [14] (GGGP). The results show that TAG3P significantly outperforms GP and GGGP on the target functions attempted in terms of probability of success. Moreover, TAG3P still performed well when the structural complexity of the target function was scaled up.

Intake of multivitamin and calcium supplements might be associated with a decreased risk of CRC for MMR gene mutation carriers.

Growing self-organizing map (GSOM) has been introduced as an improvement to the self-organizing map (SOM) algorithm in clustering and knowledge discovery. Unlike the traditional SOM, GSOM has a dynamic structure which allows nodes to grow reflecting the knowledge discovered from the input data as learning progresses. The spread factor parameter (SF) in GSOM can be utilized to control the spread of the map, thus giving an analyst a flexibility to examine the clusters at different granularities. Although GSOM has been applied in various areas and has been proven effective in knowledge discovery tasks, no comprehensive study has been done on the effect of the spread factor parameter value to the cluster formation and separation. Therefore, the aim of this paper is to investigate the effect of the spread factor value towards cluster separation in the GSOM. We used simple k-means algorithm as a method to identify clusters in the GSOM. By using Davies-Bouldin index, clusters formed by different values of spread factor are obtained and the resulting clusters are analyzed. In this work, we show that clusters can be more separated when the spread factor value is increased. Hierarchical clusters can then be constructed by mapping the GSOM clusters at different spread factor values.

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Effective multilingual information filtering is required to alleviate users' burden of information overload resulting from the increasing flood of multilingual textual content available extensively over the World-Wide Web. This paper proposes a content-based self-organizing approach to multilingual information filtering using fuzzy logic and the self-organizing map. This approach screens and evaluates multilingual documents based on their semantic contents. Correlated multilingual documents are disseminated according to their corresponding themes or topics, thus enabling language-independent contentbased information access efficiently and effectively. A Web-based multilingual online news-filtering system is developed to illustrate how the approach works.