• 제목/요약/키워드: prognostic

검색결과 2,435건 처리시간 0.029초

Role of Recurrence Pattern Multiplicity in Predicting Post-recurrence Survival in Patients Who Underwent Curative Gastrectomy for Gastric Cancer

  • Jun-Young Yang;Ji-Hyeon Park;Seung Joon Choi;Woon Kee Lee
    • Journal of Gastric Cancer
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    • 제24권2호
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    • pp.231-242
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    • 2024
  • Purpose: This study aimed to investigate the recurrence patterns in patients who underwent curative surgery for gastric cancer (GC) and analyze their prognostic value for post-recurrence survival (PRS). Materials and Methods: We retrospectively reviewed the medical records of 204 patients who experienced GC recurrence following curative gastrectomy for GC at a single institution between January 2012 and December 2017. Specific recurrence patterns (lymph node, peritoneal, and hematogenous) and their multiplicity were analyzed as prognostic factors of PRS. Results: The median PRS of the 204 patients was 8.3 months (interquartile range [IQR]: 3.2-17.4). For patients with a single recurrence pattern (n=164), the difference in each recurrence pattern did not show a significant prognostic value for PRS (lymph node vs. peritoneal, P=0.343; peritoneal vs. hematogenous, P=0.660; lymph node vs. hematogenous, P=0.822). However, the patients with a single recurrence pattern had significantly longer PRS than those with multiple recurrence patterns (median PRS: 10.2 months [IQR: 3.7-18.7] vs. 3.9 months [IQR: 1.8-10.4]; P=0.037). In the multivariate analysis, multiple recurrence patterns emerged as independent prognostic factors for poor PRS (hazard ratio, 1.553; 95% confidence interval, 1.092-2.208; P=0.014) along with serosal invasion, recurrence within 1 year after gastrectomy, and the absence of post-recurrence chemotherapy. Conclusions: Regardless of the specific recurrence pattern, multiple recurrence patterns emerged as independent prognostic factors for poor PRS compared with a single recurrence pattern.

Molecular Involvement and Prognostic Importance of Fms-like Tyrosine Kinase 3 in Acute Myeloid Leukemia

  • Shahab, Sadaf;Shamsi, Tahir S.;Ahmed, Nuzhat
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권9호
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    • pp.4215-4220
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    • 2012
  • AML (Acute myeloid leukemia) is a form of blood cancer where growth of myeloid cells occurs in the bone marrow. The prognosis is poor in general for many reasons. One is the presence of leukaemia-specific recognition markers such as FLT3 (fms-like tyrosine kinase 3). Another name of FLT3 is stem cell tyrosine kinase-1 (STK1), which is known to take part in proliferation, differentiation and apoptosis of hematopoietic cells, usually being present on haemopoietic progenitor cells in the bone marrow. FLT3 act as an independent prognostic factor for AML. Although a vast literature is available about the association of FLT3 with AML there still is a need of a brief up to date overview which draw a clear picture about this association and their effect on overall survival.

Prognostic Factors in Stage III Non-Small-Cell Lung Cancer Patients

  • Urvay, Semiha Elmaci;Yucel, Birsen;Erdis, Eda;Turan, Nedim
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권10호
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    • pp.4693-4697
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    • 2016
  • Aim: The objective of this study is to investigate prognostic factors affecting survival of patients undergoing concurrent or sequential chemoradiotherapy (CRT) for stage III non-small-cell lung cancer (NSCL). Methods and materials: We retrospectively reviewed the clinical records of 148 patients with advanced, inoperable stage III NSCLC, who were treated between 2007 and 2015. Results: The median survival was found to be 19 months and 3-year overall survival was 27%. Age (<65 vs ${\geq}65years$, p=0.026), stage (IIIA vs IIIB, p=0.033), dose of radiotherapy (RT) (<60 vs ${\geq}60Gy$, p=0.024) and treatment method (sequential chemotherapy+RT vs concurrent CRT, p=0.023) were found to be factors affecting survival in univariate analyses. Gender, histological subtype, weight loss during CRT, performance status, induction/consolidation chemotherapy and presence of comorbidities did not affect survival (p>0.050). Conclusion: Young age, stage IIIA, radiotherapy dose and concurrent chemoradiotherapy may positively affect survival in stage III NSCL cases.

환경영향평가용 대기질 모델을 위한 AWS자료의 4 차원 동화 기법에 관한 고찰 (On the applications of AWS into the Four-Dimensional Data Assimllation Technique for 3 Dimensional Air Quality Model in Use of Atmospheric Environmental Assessment)

  • 김철희
    • 환경영향평가
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    • 제11권2호
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    • pp.109-116
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    • 2002
  • The diagnostic and prognostic methods for generating 3 dimensional wind field were comparatively analyzed and 4 dimensional data assimilation (FDDA) technique by incorporating Automatic Weather System (AWS) into the prognostic methods was discussed for the urban scale air quality model. The A WS covered the urban scale grid distance of 10.6 km and 4.3 km in South Korea and Kyong-in region, respectively. This is representing that AWS for FDDA could be fairly well accommodated in prognostic model with the meso${\gamma}$~ microa scale (~5 km), indicating that the 3 dimensional wind field by FDDA technique could be a useful interpretative tool in urban area for the atmospheric environmental impact assessment.

Diagnostic/prognostic health monitoring system and evaluation of a composite bridge

  • Mosallam, A.;Miraj, R.;Abdi, F.
    • Smart Structures and Systems
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    • 제5권4호
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    • pp.397-413
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    • 2009
  • Composite bridges offer many advantages compared to current steel and aluminum bridges. This paper presents the results of a comprehensive on-going research program to develop innovative Diagnostic Prognostic System (DPS) and a structural evaluation of Composite Army Bridge (CAB) system. The DPS is founded on three technologies: optical fiber sensing, remote data transmission, and virtual testing. In developing this system, both laboratory and virtual test were used in different damage scenarios. Health monitoring with DPS entailed comparing live strain data to archived strained data in various bridge locations. For field repairs, a family of composite chords was subjected to simple ramp loads in search of ultimate strength. As such, composite bridge specimens showcased their strengths, heralded the viability of virtual testing, highlighted the efficacy of field repair, and confirmed the merits of health monitoring.

Current Status and Scope of Lymph Node Micrometastasis in Gastric Cancer

  • Lee, Chang Min;Park, Sung-Soo;Kim, Jong-Han
    • Journal of Gastric Cancer
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    • 제15권1호
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    • pp.1-9
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    • 2015
  • Recently, lymph node micrometastasis has been evaluated for its prognostic value in gastric cancer. Lymph node micrometastasis cannot be detected via a usual pathologic examination, but it can be detected by using some other techniques including immunohistochemistry and reverse transcription-polymerase chain reaction assay. With the development of such diagnostic techniques, the detection rate of lymph node micrometastasis is constantly increasing. Although the prognostic value of lymph node micrometastasis remains debatable, its clinical impact is apparently remarkable in both early and advanced gastric cancer. At present, studies on the prognostic value of lymph node micrometastasis are evolving to overcome its current limitations and extend the scope of its application.

Maintenance-based prognostics of nuclear plant equipment for long-term operation

  • Welz, Zachary;Coble, Jamie;Upadhyaya, Belle;Hines, Wes
    • Nuclear Engineering and Technology
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    • 제49권5호
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    • pp.914-919
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    • 2017
  • While industry understands the importance of keeping equipment operational and well maintained, the importance of tracking maintenance information in reliability models is often overlooked. Prognostic models can be used to predict the failure times of critical equipment, but more often than not, these models assume that all maintenance actions are the same or do not consider maintenance at all. This study investigates the influence of integrating maintenance information on prognostic model prediction accuracy. By incorporating maintenance information to develop maintenance-dependent prognostic models, prediction accuracy was improved by more than 40% compared with traditional maintenance-independent models. This study acts as a proof of concept, showing the importance of utilizing maintenance information in modern prognostics for industrial equipment.

Ovarian Cancer Prognostic Prediction Model Using RNA Sequencing Data

  • Jeong, Seokho;Mok, Lydia;Kim, Se Ik;Ahn, TaeJin;Song, Yong-Sang;Park, Taesung
    • Genomics & Informatics
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    • 제16권4호
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    • pp.32.1-32.7
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    • 2018
  • Ovarian cancer is one of the leading causes of cancer-related deaths in gynecological malignancies. Over 70% of ovarian cancer cases are high-grade serous ovarian cancers and have high death rates due to their resistance to chemotherapy. Despite advances in surgical and pharmaceutical therapies, overall survival rates are not good, and making an accurate prediction of the prognosis is not easy because of the highly heterogeneous nature of ovarian cancer. To improve the patient's prognosis through proper treatment, we present a prognostic prediction model by integrating high-dimensional RNA sequencing data with their clinical data through the following steps: gene filtration, pre-screening, gene marker selection, integrated study of selected gene markers and prediction model building. These steps of the prognostic prediction model can be applied to other types of cancer besides ovarian cancer.

위 신경내분비종양의 진단과 치료 (Diagnosis and Treatment of Gastric Neuroendocrine Tumors)

  • 최수인
    • Journal of Digestive Cancer Research
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    • 제10권1호
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    • pp.1-8
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    • 2022
  • The incidence of gastric neuroendocrine tumors (NET) has been increased with the improvement of endoscopy accessibility. The World Health Organization classified NET of low (G1), intermediate (G2), high (G3) grade and neuroendocrine carcinoma with poor differentiation by mitotic count and Ki-67 labeling index. Gastric NET are divided into three subtypes based on the pathophysiology, and treatment is determined according to the subtype and prognostic factors of tumor. For diagnosis, endoscopy with biopsy, endoscopic ultrasonography, abdominal pelvis computed tomography, and serum gastrin level measure are required. In general, type 3, size > 2 cm, deep submucosal infiltration, high histological grade, lymphovascular invasion and metastasis are poor prognostic factors. Type 1 or 2 without these factors are treated by endoscopic resection, and other tumors needs surgery. Endoscopic resection of early type 3 or type 1 and 2 tumors with poor prognostic factors still remains a challenge.

Neutrophil Count and the Inflammation-based Glasgow Prognostic Score Predict Survival in Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy

  • Li, Qing-Qing;Lu, Zhi-Hao;Yang, Li;Lu, Ming;Zhang, Xiao-Tian;Li, Jian;Zhou, Jun;Wang, Xi-Cheng;Gong, Ji-Fang;Gao, Jing;Li, Jie;Li, Yan;Shen, Lin
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권2호
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    • pp.945-950
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    • 2014
  • Purpose: To explore the value of systemic inflammatory markers as independent prognostic factors and the extent these markers improve prognostic classification for patients with inoperable advanced or metastatic gastric cancer (GC) receiving palliative chemotherapy. Methods: We studied the prognostic value of systemic inflammatory factors such as circulating white blood cell count and its components as well as that combined to form inflammation-based prognostic scores (Glasgow Prognostic Score (GPS), Neutrophil-Lymphocyte Ratio (NLR), Platelet Lymphocyte Ratio (PLR), Prognostic Index (PI) and Prognostic Nutritional Index (PNI)) in 384 patients with inoperable advanced or metastatic gastric cancer (GC) receiving first-line chemotherapy. Univariate and multivariate analyses were performed to examine the impact of inflammatory markers on overall survival (OS). Results: Univariate analysis revealed that an elevated white blood cell, neutrophil and/or platelet count, a decreased lymphocyte count, a low serum albumin concentration, and high CRP concentration, as well as elevated NLR/PLR, GPS, PI, PNI were significant predictors of shorter OS. Multivariate analysis demonstrated that only elevated neutrophil count (HR 3.696, p=0.003) and higher GPS (HR 1.621, p=0.01) were independent predictors of poor OS. Conclusion: This study demonstrated elevated pretreatment neutrophil count and high GPS to be independent predictors of shorter OS in inoperable advanced or metastatic GC patients treated with first-line chemotherapy. Upon validation of these data in independent studies, stratification of patients using these markers in future clinical trials is recommended.