• Title/Summary/Keyword: Cancer Prognostic Prediction

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Clinico-pathologic Factors and Machine Learning Algorithm for Survival Prediction in Parotid Gland Cancer (귀밑샘 암종에서 생존 예측을 위한 임상병리 인자 분석 및 머신러닝 모델의 구축)

  • Kwak, Seung Min;Kim, Se-Heon;Choi, Eun Chang;Lim, Jae-Yol;Koh, Yoon Woo;Park, Young Min
    • Korean Journal of Head & Neck Oncology
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    • v.38 no.1
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    • pp.17-24
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    • 2022
  • Background/Objectives: This study analyzed the prognostic significance of clinico-pathologic factors including comprehensive nodal factors in parotid gland cancers (PGCs) patients and constructed a survival prediction model for PGCs patients using machine learning techniques. Materials & Methods: A total of 131 PGCs patients were enrolled in the study. Results: There were 19 cases (14.5%) of lymph nodes (LNs) at the lower neck level and 43 cases (32.8%) involved multiple level LNs metastases. There were 2 cases (1.5%) of metastases to the contralateral LNs. Intraparotid LNs metastasis was observed in 6 cases (4.6%) and extranodal extension (ENE) findings were observed in 35 cases (26.7%). Lymphovascular invasion (LVI) and perineural invasion findings were observed in 42 cases (32.1%) and 49 cases (37.4%), respectively. Machine learning prediction models were constructed using clinico-pathologic factors including comprehensive nodal factors and Decision Tree and Stacking model showed the highest accuracy at 74% and 70% for predicting patient's survival. Conclusion: Lower level LNs metastasis and LNR have important prognostic significance for predicting disease recurrence and survival in PGCs patients. These two factors were used as important features for constructing machine learning prediction model. Our machine learning model could predict PGCs patient's survival with a considerable level of accuracy.

Clinical Change of Terminally Ill Cancer Patients at the End-of-life Time (임종 전 말기 암 환자의 임상 증상 및 징후의 변화)

  • Koh, Su-Jin;Lee, Kyung-Shik;Hong, Yeong-Seon;Yoo, Yang-Sook;Park, Hyea-Ja
    • Journal of Hospice and Palliative Care
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    • v.11 no.2
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    • pp.99-105
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    • 2008
  • Purpose: In terminally ill cancer patients, accurate prediction of survival is necessary for clinical and ethical reasons, especially in helping to avoid harm, discomfort and inappropriate therapies and in planning specific care strategies. The aim of the study was to investigate prognostic factor of dying patients. Methods: We enrolled the terminal cancer patients from Kangnam St. Mary's Hospital from 2004 until their death. We observed symptoms shown in dying patients and assess 17 common symptoms shown in terminally ill cancer patients, performance status, pain and analgesic use. Results: Average period from hospitalization to death was 11.7 days. The most important prognostic factor is performance status (KPS), average KPS at enrollment is 48% and at last 48 hours is 25%. Physical symptoms that have significant prognostic importance are poor oral intake, weakness, constipation, decreased Karnofsky performance status, bed sore, edema, jaundice, dry mouth, dyspnea. Dying patients showed markedly decreased systolic blood pressure, cyanosis, drowsiness, abnormal respiration, death rattle frequently at 48 hours before death. Conclusion: If we assess the symptoms more carefully, we can predict the more accurate prognosis. The communication about the prognostic information will influence the personal therapeutic decision and specific care planning.

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Health Outcome Prediction Using the Charlson Comorbidity Index In Lung Cancer Patients (Charlson Comorbidity Index를 활용한 폐암수술환자의 건강결과 예측에 관한 연구)

  • Kim, Se-Won;Yoon, Seok-Jun;Kyung, Min-Ho;Yun, Young-Ho;Kim, Young-Ae;Kim, Eun-Jung;Kim, Kyeong-Uoon
    • Health Policy and Management
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    • v.19 no.4
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    • pp.18-32
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    • 2009
  • The goal of this study was to predict the health outcomes of lung cancer surgery based on the Charlson comorbidity index (CCI). An attempt was likewise made to assess the prognostic value of such data for predicting mortality, survival rate, and length of hospital stay. A medical-record review of 389 patients with non-small-cell lung cancer was performed. To evaluate the agreement, the kappa coefficient was tested. Logistic-regression analysis was also conducted within two years after the surgery to determine the association of CCI with death. Survival and multiple-regression analyses were used to evaluate the relationship between CCI and the hospital care outcomes within two-year survival after lung cancer surgery and the length of hospital stay. The results of the study showed that CCI is a valid prognostic indicator of two-year mortality and length of hospital stay, and that it shows the health outcomes, such as death, survival rate, and length of hospital stay, after the surgery, thus enabling the development and application of the methodology using a systematic and objective scale for the results.

Circulating DNA in Egyptian Women with Breast Cancer

  • Ibrahim, Iman Hassan;Kamel, Mahmoud M;Ghareeb, Mohamed
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.6
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    • pp.2989-2993
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    • 2016
  • The commonest cancer in Egyptian females occurs in the breast cfDNA is a non-invasive marker for tumor detetion and prognostic assessment in many types of cancer including breast cancer. This study aimed to assess the role of cfDNA and its fragmentation pattern in breast cancer prognosis and treatment response. Forty female patients with malignant breast tumors and a comparable group of healthy blood donors were enrolled prospectively. cfDNA levels and fragmentation patterns were investigated after cfDNA extraction, gel electrophoresis and gel analysis. The percentage of breast cancer patients positive for cfDNA (92.5%) was significantly higher than that of controls (55%). Also, mean concentration of cfDNA was significantly higher than in the control group (P<0.05). Most Her-2 positive patients had long cfDNA fragments, this being significant as compared to Her-2 negative patients (P<0.05). Metastasis was also positively linked to significantly higher cfDNA (P<0.05) and the mean cfDNA integrity index was significantly higher in non-responders compared to treatment responders (P<0.05). In conclusion, both qualitative and quantitative aspects of cfDNA and its different fragments in breast cancer patients could be related to prognosis, metastasis and treatment response. Long cfDNA fragments could be particularly useful for prediction purposes.

Prognostic Significance of Annexin A1 Expression in Pancreatic Ductal Adenocarcinoma

  • Chen, Cong-Ying;Shen, Jia-Qing;Wang, Feng;Wan, Rong;Wang, Xing-Peng
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.9
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    • pp.4707-4712
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    • 2012
  • Annexin A1 is a 37-kDa calcium- and phospholipid-binding protein of the annexin superfamily considered to play an important role in tumorigenesis. However, associations with clinicopathological features in pancreatic ductal adenocarcinoma (PDAC) cases have yet to be fully defined. We therefore investigated the prognostic value of annexin A1 protein as a PDAC biomarker in 83 tumor and matched non-cancerous tissues or normal pancreas tissues. Expression was analyzed using real-time RT-PCR, Western blotting and immunohistochemistry. In non-tumor tissue, myoepithelial cells showed no or weak expression of annexin A1 while expression was strong and sometimes even located in the nuclei of endothelial cells in tumor tissue. High expression was significantly associated with advanced stage (P <0.05) and a worse overall survival (P <0.05). These results provide new insights to better understand the role of annexin A1 in PDAC survival, and might be relevant to prediction of prognosis and development of more effective therapeutic strategies aimed at improving survival.

Prediction of Life Expectancy for Terminally Ill Cancer Patients Based on Clinical Parameters (말기 암 환자에서 임상변수를 이용한 생존 기간 예측)

  • Yeom, Chang-Hwan;Choi, Youn-Seon;Hong, Young-Seon;Park, Yong-Gyu;Lee, Hye-Ree
    • Journal of Hospice and Palliative Care
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    • v.5 no.2
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    • pp.111-124
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    • 2002
  • Purpose : Although the average life expectancy has increased due to advances in medicine, mortality due to cancer is on an increasing trend. Consequently, the number of terminally ill cancer patients is also on the rise. Predicting the survival period is an important issue in the treatment of terminally ill cancer patients since the choice of treatment would vary significantly by the patents, their families, and physicians according to the expected survival. Therefore, we investigated the prognostic factors for increased mortality risk in terminally ill cancer patients to help treat these patients by predicting the survival period. Methods : We investigated 31 clinical parameters in 157 terminally ill cancer patients admitted to in the Department of Family Medicine, National Health Insurance Corporation Ilsan Hospital between July 1, 2000 and August 31, 2001. We confirmed the patients' survival as of October 31, 2001 based on medical records and personal data. The survival rates and median survival times were estimated by the Kaplan-Meier method and Log-rank test was used to compare the differences between the survival rates according to each clinical parameter. Cox's proportional hazard model was used to determine the most predictive subset from the prognostic factors among many clinical parameters which affect the risk of death. We predicted the mean, median, the first quartile value and third quartile value of the expected lifetimes by Weibull proportional hazard regression model. Results : Out of 157 patients, 79 were male (50.3%). The mean age was $65.1{\pm}13.0$ years in males and was $64.3{\pm}13.7$ years in females. The most prevalent cancer was gastric cancer (36 patients, 22.9%), followed by lung cancer (27, 17.2%), and cervical cancer (20, 12.7%). The survival time decreased with to the following factors; mental change, anorexia, hypotension, poor performance status, leukocytosis, neutrophilia, elevated serum creatinine level, hypoalbuminemia, hyperbilirubinemia, elevated SGPT, prolonged prothrombin time (PT), prolonged activated partial thromboplastin time (aPTT), hyponatremia, and hyperkalemia. Among these factors, poor performance status, neutrophilia, prolonged PT and aPTT were significant prognostic factors of death risk in these patients according to the results of Cox's proportional hazard model. We predicted that the median life expectancy was 3.0 days when all of the above 4 factors were present, $5.7{\sim}8.2$ days when 3 of these 4 factors were present, $11.4{\sim}20.0$ days when 2 of the 4 were present, and $27.9{\sim}40.0$ when 1 of the 4 was present, and 77 days when none of these 4 factors were present. Conclusions : In terminally ill cancer patients, we found that the prognostic factors related to reduced survival time were poor performance status, neutrophilia, prolonged PT and prolonged am. The four prognostic factors enabled the prediction of life expectancy in terminally ill cancer patients.

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Prediction of Time to Recurrence and Influencing Factors for Gastric Cancer in Iran

  • Roshanaei, Ghodratollah;Ghannad, Masoud Sabouri;Safari, Maliheh;Sadighi, Sanambar
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.6
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    • pp.2639-2642
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    • 2012
  • Background: The patterns of gastric cancer recurrence vary across societies. We designed the current study in an attempt to evaluate and reveal the outbreak of the recurrence patterns of gastric cancer and also prediction of time to recurrence and its effected factors in Iran. Materials and Methods: This research was performed from March 2003 to February 2007. Demographic characteristics, clinical and pathological diagnosis and classification including pathologic stage, tumor grade, tumor site and tumor size in of patients with GC recurrent were collected from patients' data files. To evaluate of factors affected on the relapse of the GC patients, gender, age at diagnosis, treatment type and Hgb were included in the research. Data were analyzed using Kaplan-Meier and logistic regression models. Results: After treatment, 82 patients suffered recurrence, 42, 33 and 17 by the ends of first, second and third years. The mean ( SD) and median ( IQR) time to recurrence in patients with GC were 25.5 (20.6-30.1) and 21.5 (15.6-27.1) months, respectively. The results of multivariate analysis logistic regression showed that only pathologic stage, tumor grade and tumor site significantly affected the recurrence. Conclusions: We found that pathologic stage, tumor grade and tumor site significantly affect on the recurrence of GC which has a high positive prognostic value and might be functional for better follow-up and selecting the patients at risk. We also showed time to recurrence to be an important factor for follow-up of patients.

Is FDG -PET-CT A Valuable Tool in Prediction of Persistent Disease in Head and Neck Cancer

  • Uzel, Esengul Kocak;Ekmekcioglu, Ozgul;Elicin, Olgun;Halac, Metin;Uzel, Omer Erol
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.8
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    • pp.4847-4851
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    • 2013
  • Objectives: To evaluate accuracy of FDG-PET CT in prediction of persistent disease in head and neck cancer cases and to determine prognostic value of metabolic tumor response. Materials and Methods: Between 2009 and 2011, 46 patients with squamous cell carcinoma of head and neck receiving PET-CT were treated with definitive radiotherapy, with or without chemotherapy. There were 29 nasopharyngeal, 11 hypopharyngeal, 3 oropharyngeal and 3 laryngeal cancer patients, with a median age of 50.5 years (range 16-84), 32 males and 14 females. All patients were evaluated with PET-CT median 3-5 months (2.4-9.4) after completion of radiotherapy. Results: After a median 20 months of follow up, complete metabolic response was observed in 63% of patients. Suspicious residual uptake was present in 10.9% and residual metabolic uptake in 26.0% of patients. The overall sensitivity, specificity, positive predictive value and negative predictive value of FDG-PET-CT for detection of residual disease was 91% and 81%, 64% and 96% respectively. Two year LRC was 95% in complete responders while it was 34% in non-complete responders. Conclusions: FDG PET CT is a valuable tool for assessment of treatment response, especially in patients at high risk of local recurrence, and also as an indicator of prognosis. Definitely more precise criteria are required for assessment of response, there being no clear cut uptake value indicating residual disease. Futhermore, repair processes of normal tissue may consume glucose which appear as increased uptake in control FDG PET CT.

Evaluation of the 7th AJCC TNM Staging System in Point of Lymph Node Classification

  • Kim, Sung-Hoo;Ha, Tae-Kyung;Kwon, Sung-Joon
    • Journal of Gastric Cancer
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    • v.11 no.2
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    • pp.94-100
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    • 2011
  • Purpose: The 7th AJCC tumor node metastasis (TNM) staging system modified the classification of the lymph node metastasis widely compared to the 6th edition. To evaluate the prognostic predictability of the new TNM staging system, we analyzed the survival rate of the gastric cancer patients assessed by the 7th staging system. Materials and Methods: Among 2,083 patients who underwent resection for gastric cancer at the department of surgery, Hanyang Medical Center from July 1992 to December 2009, This study retrospectively reviewed 5-year survival rate (5YSR) of 624 patients (TanyN3M0: 464 patients, TanyNanyM1: 160 patients) focusing on the number of metastatic lymph node and distant metastasis. We evaluated the applicability of the new staging system. Results: There were no significant differences in 5YSR between stage IIIC with more than 29 metastatic lymph nodes and stage IV (P=0.053). No significant differences were observed between stage IIIB with more than 28 metastatic lymph nodes and stage IV (P=0.093). Distinct survival differences were present between patients who were categorized as TanyN3M0 with 7 to 32 metastatic lymph nodes and stage IV. But patients with more than 33 metastatic lymph nodes did not show any significant differences compared to stage IV (P=0.055). Among patients with TanyN3M0, statistical significances were seen between patients with 7 to 30 metastatic lymph nodes and those with more than 31 metastatic lymph nodes. Conclusions: In the new staging system, modifications of N classification is mandatory to improve prognostic prediction. Further study involving a greater number of cases is required to demonstrate the most appropriate cutoffs for N classification.

Matrix Metalloproteinase-13 - A Potential Biomarker for Detection and Prognostic Assessment of Patients with Esophageal Squamous Cell Carcinoma

  • Sedighi, Maryam;Aledavood, Seyed Amir;Abbaszadegan, MR;Memar, Bahram;Montazer, Mehdi;Rajabian, Majid;Gholamin, Mehran
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.6
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    • pp.2781-2785
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    • 2016
  • Background: Matric metalloproteinase (MMP) 13 gene expression is increased in esophageal squamous cell carcinomas (ESCCs) and associated with increasing tumor invasion, lymph node involvement and decreased survival rates. Levels of the circulating enzyme may be elevated and used as a marker of tumor progression. In this study, clinical application of MMP-13 serum levels was evaluated for early detection, prediction of prognosis and survival time of ESCC patients. Materials and Methods: Serum levels of MMP13 were determined by ELISA in 66 ESCC patients prior of any treatment and 54 healthy controls for comparison with clinicopathological data through statistical analysis with Man Whitney U and Log-Rank tests. In addition, clinical value of MMP13 levels for diagnosis was evaluated by receiver operating characteristic (ROC) test. Results: The serum level of MMP-13 in patients (>250 pg/ml) was significantly higher than in the control group (<100 pg/ml) (p value=0.004). Also the results showed a significant correlation between MMP-13 serum levels with tumor stage (p value = 0.003), depth of tumor invasion (p value=0.008), involvement of lymph nodes (p value = 0.011), tumor size (p value = 0.018) and survival time. While there were no significant correlation with grade and location of tumors. ROC analysis showed that MMP-13 level is an accurate diagnostic marker especially to differentiate pre-invasive/ invasive lesions from normal controls (sensitivity and specificity: 100%). Conclusions: These findings indicate a potential clinical significance of serum MMP13 measurement for early detection and prognostic assessment in ESCC patients.