125 research outputs found

    Leukemia autopsies in Japan

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    For the purpose to know whether the annual increase of leukemia incidence in Japan is due to some leukemogenic factors or due to the increased detection rate, the authors made some statistical survey of autopsy cases in which the diagnosis is reliable and not any type of leukemias escape the detection. The results showed that acute leukemias, which are found mostly in younger age, is actually increasing. In addition, it has been deduced that among the suspected factors the increase in ionizing radiation will be one of the most probable factors for the increase in leukemia incidence</p

    Risk of Gynecologic Cancer as Second versus First Primary Cancer in Japan

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    This study aimed to determine whether the risk conferred by gynecologic cancer (GC) as second primary cancer (SPC) differs from that associated with GC as first primary cancer (FPC). We investigated the correlations between FPC/SPC and the characteristics and prognoses of 1,645 GC patients (701 with cervical cancer [CC], 641 with endometrial cancer [EM], and 303 with ovarian cancer [OV]). The χ2 test and the Kaplan–Meier method were used to determine whether FPC/SPC and the characteristics and prognoses of GC patients. Of the SPC patients, 26 (3.7%) had CC, 53 (8.3%) had EM, and 31 (10.2%) had OV. The most common previous cancer type in SPC of GC patients was breast cancer, which was observed in 13 patients (50.0%) with CC, 23 (43.4%) with EM, and 16 (51.6%) with OV. In all patients with CC, EM, and OV as SPC, the stage was significantly associated with recurrence. There were no significant differences in the morbidity or mortality of CC, EM, or OV patients between those with FPC and those with SPC. The risk of SPC development in GC patients varied, ranging from 3.5% (CC) to 10.3% (OV) of patients

    The presence of chronic diseases contributes to the occurrence risk factors for gynecological cancers in Japan

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    The aim of the present study was to determine whether chronic diseases (CD), such as hypertension, diabetes mellitus, dyslipidemia, heart diseases and cerebrovascular diseases, are occurrence risk factors and affect the survival of patients with gynecological cancers (GC). The correlations between CD and the characteristics and survival of 1,590 GC patients [685 with cervical cancer (CC), 613 with endometrial cancer (EM) and 292 with ovarian cancer (OV)] were investigated in the present study. Of the CD patients, 189 had CC (27.6%), 265 had EM (43.2%) and 72 had OV (24.7%). The incidence of CD increased with age in GC patients. The number of CD patients aged ≥70 years, was 8.6‑fold higher in the CC group, 3.0‑fold higher in the EM group, and 9.6‑fold higher in the OV group compared with those aged 24% of the occurrence risk factors in GC patients in Japan

    The Combination of D-dimer and Glasgow Prognostic Score Can Be Useful in Predicting VTE in Patients with Stage IIIC and IVA Ovarian Cancer

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    Cancer patients have increased risk of venous thromboembolism (VTE) that must be assessed before treatment. This study aimed to determine effective VTE biomarkers in gynecologic cancer (GC). We investigated the correlation between D-dimer levels, Khorana risk score (KRS), Glasgow prognostic score (GPS), and VTE in 1499 GC patients (583 cervical cancer (CC), 621 endometrial cancer (EC), and 295 ovarian cancer (OC) patients) treated at our institution between January 2008 and December 2019. χ2 and Mann–Whitney U-tests were used to determine statistical significance. We used receiver operating characteristic-curve analysis to evaluate the discriminatory ability of each parameter. D-dimer levels were significantly correlated with KRS and GPS in patients with GC. VTE was diagnosed in 11 CC (1.9%), 27 EC (4.3%), and 39 OC patients (13.2%). Optimal D-dimer cut-off values for VTE were 3.1, 3.2, and 3.9 μg/ml in CC, EC and OC patients, respectively. D-dimer could significantly predict VTE in all GC patients. Furthermore, D-dimer combined with GPS was more accurate in predicting VTE than other VTE biomarkers in stage IIIC and IVA OC (AUC: 0.846; p<0.001). This study demonstrates that combined D-dimer and GPS are useful in predicting VTE in patients with OC

    Genome-Wide Association Study of Morpho-Physiological Traits in Aegilops tauschii to Broaden Wheat Genetic Diversity

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    Aegilops tauschii, the D-genome donor of bread wheat, is a storehouse of genetic diversity that can be used for wheat improvement. This species consists of two main lineages (TauL1 and TauL2) and one minor lineage (TauL3). Its morpho-physiological diversity is large, with adaptations to a wide ecological range. Identification of allelic diversity in Ae. tauschii is of utmost importance for efficient breeding and widening of the genetic base of wheat. This study aimed at identifying markers or genes associated with morpho-physiological traits in Ae. tauschii, and at understanding the difference in genetic diversity between the two main lineages. We performed genome-wide association studies of 11 morpho-physiological traits of 343 Ae. tauschii accessions representing the entire range of habitats using 34,829 DArTseq markers. We observed a wide range of morpho-physiological variation among all accessions. We identified 23 marker–trait associations (MTAs) in all accessions, 15 specific to TauL1 and eight specific to TauL2, suggesting independent evolution in each lineage. Some of the MTAs could be novel and have not been reported in bread wheat. The markers or genes identified in this study will help reveal the genes controlling the morpho-physiological traits in Ae. tauschii, and thus in bread wheat even if the plant morphology is different

    Surgical resection combined with perioperative chemotherapy for a patient with locally recurrent, previously stage IV thymic small-cell carcinoma : A case report

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    An 83-year-old Japanese man visited our hospital with dyspnea and general fatigue. Computed tomography (CT) revealed a tumor in the anterior mediastinum, bilateral pleural effusion, pericardial fluid, and multiple liver nodules. We performed a CT-guided tumor biopsy, and the patient was diagnosed with thymic small-cell carcinoma, Masaoka–Koga stage classification IVb. The patient received four cycles of carboplatin and etoposide, and all lesions disappeared on CT. However, after 6 months, CT revealed a recurrent tumor in the anterior mediastinum. After one cycle of rechallenge chemotherapy, we performed extended total thymectomy followed by another three cycles of chemotherapy. More than 2.5 years after the last chemotherapy session, the patient’s carcinoma did not recur. Thus, this case suggests that salvage surgery may be a treatment option for local recurrence of thymic carcinoma after complete remission with chemotherapy, even in patients with stage IV cancer

    Traits to Differentiate Lineages and Subspecies of Aegilops tauschii, the D Genome Progenitor Species of Bread Wheat

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    Aegilops tauschii Coss., the D genome donor of hexaploid wheat (Triticum aestivum L.), is the most promising resource used to broaden the genetic diversity of wheat. Taxonomical studies have classified Ae. tauschii into two subspecies, ssp. tauschii and ssp. strangulata. However, molecular analysis revealed three distantly related lineages, TauL1, TauL2 and TauL3. TauL1 and TauL3 includes the only ssp. tauschii, whereas TauL2 includes both subspecies. This study aimed to clarify the phylogeny of Ae. tauschii and to find the traits that can differentiate between TauL1, TauL2 and TauL3, or between ssp. tauschii and ssp. strangulata. We studied the genetic and morpho-physiological diversity in 293 accessions of Ae. tauschii, covering the entire range of the species. A total of 5880 high-quality SNPs derived from DArTseq were used for phylogenetic cluster analyses. As a result, we observed wide morpho-physiological variation in each lineage and subspecies. Despite this variation, no key traits can discriminate lineages or subspecies though some traits were significantly different. Of 124 accessions previously lacking the passport data, 66 were allocated to TauL1, 57 to TauL2, and one to TauL3
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