Prognostic factors in patients with submucosal esophageal cancer

2004 ◽  
Vol 8 (5) ◽  
pp. 631-635 ◽  
Author(s):  
S NATSUGOE
Keyword(s):  
Esophageal Cancer ◽  
Prognostic Factors

scholarly journals Bioinformatic Analysis: The Role of LINC00634 in Colorectal Carcinoma

2021 ◽  
Author(s):  
Fang Liu ◽  
Fengyihuan Fu ◽  
Yuqiang Nie
Keyword(s):  
Esophageal Cancer ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Colorectal Carcinoma ◽  
Roc Curve ◽  
Cox Regression ◽  
Survival Outcomes ◽  
Immune Infiltration ◽  
The Relationship

Abstract Background: LINC00634 is highly expressed in esophageal cancer, and its depletion can suppress the viability and induce the apoptosis of esophageal cancer cells. However, there is a lack of studies that examine the relationship between LINC00634 expression and the clinicopathological features, survival outcomes, prognostic factors and tumor immune cell infiltration of colorectal carcinoma (CRC) patients.Objective: We aim at investigating the role of LINC00634 in colorectal carcinoma.Methods: We obtained data from the TCGA (The Cancer Genome Atlas) public database, GTEx (Genotype-Tissue Expression) database and clinical samples. Wilcoxon rank-sum test, Kruskal-Wallis test and logistic regression analysis were employed to assess the relationship between LINC00634 expression and the clinicopathological characteristics of CRC patients. Receiver operating characteristic (ROC) curve was constructed to evaluate the ability of LINC00634 for distinguishing between CRC patients and normal subjects based on the area under the curve (AUC) score. Univariate and multivariate analyses were conducted to evaluate the association between prognostic factors and survival outcomes. Kaplan-Meier curves and Cox regression analysis were employed to determine the contribution of LINC00634 expression to the prognosis of colorectal carcinoma patients. Immune infiltration analysis and Gene Set Enrichment Analysis (GSEA) were conducted to identify the significantly involved functions of LINC00634. Finally, a nomogram was constructed for internal verification based on the Cox regression data.Results: The expression of LINC00634 was upregulated in CRC patients, and markedly associated with N stage, residual tumor, pathological stage, and overall survival (OS) event. ROC curve showed that LINC00634 had strong diagnostic and prognostic abilities (AUC=0.74). The high expression of LINC00634 could predict poor disease specific survival (DSS; P=0.008) and poor overroll survival (OS;P<0.01). The expression of LINC00634 was independently associated with OS in CRC patients (P=0.019). GSEA and immune infiltration analysis demonstrated that LINC00634 expression was involved in gene transcription, epigenetic regulation and the functions of certain types of immune infiltrating cells. The c-index of the nomogram was 0.772 (95％CI: 0.744-0.799).Conclusions: Our study reveals that LINC00634 can serve as a potential prognostic biomarker for CRC patients.

scholarly journals Prognostic factors, patterns of recurrence and toxicity for patients with esophageal cancer undergoing definitive radiotherapy or chemo-radiotherapy

2015 ◽  
Vol 56 (4) ◽  
pp. 742-749 ◽  
Author(s):  
Matthias F. Haefner ◽  
Kristin Lang ◽  
David Krug ◽  
Stefan A. Koerber ◽  
Lorenz Uhlmann ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Prognostic Factors ◽  
Definitive Radiotherapy ◽  
Patterns Of Recurrence

Stereotactic Body Radiotherapy for Pulmonary Oligometastases from Esophageal Cancer: Results and Prognostic Factors

2020 ◽  
Vol 40 (4) ◽  
pp. 2065-2072
Author(s):  
TAKAYA YAMAMOTO ◽  
YUZURU NIIBE ◽  
YASUO MATSUMOTO ◽  
YASUHIRO DEKURA ◽  
RYOONG-JIN OH ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Prognostic Factors ◽  
Stereotactic Body Radiotherapy

P23 MALNUTRITION INDICES AS PROGNOSTIC FACTORS FOR POSTOPERATIVE COMPLICATIONS IN ESOPHAGEAL CANCER PATIENTS

2019 ◽  
Vol 32 (Supplement_2) ◽  
Author(s):  
Lidoriki Irene ◽  
Schizas Dimitrios ◽  
Mpaili Efstratia ◽  
Mpoura Maria ◽  
Hasemaki Natasha ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Prognostic Factors ◽  
High Risk ◽  
Postoperative Complications ◽  
Anastomotic Leakage ◽  
Cancer Patients ◽  
Preoperative Assessment ◽  
Low Risk ◽  
Major Complications ◽  
The Impact

Abstract Aim To investigate the impact of malnutrition on postoperative complications in esophageal cancer patients. Background and Methods Malnutrition is common in esophageal cancer patients due to the debilitating nature of their disease. Several methods of nutritional assessment have emerged as significant prognostic factors for short-and long-term outcomes in patients operated for esophageal cancer. The study sample consisted of 85 patients with esophageal (n=11) and gastroesophageal junction (n=74) cancer who were admitted for surgery in the First Department of Surgery, Laikon General Hospital, Athens, Greece, between September 2015 and March 2019. Out of them, 65 patients underwent esophagectomy, while 20 patients underwent total gastrectomy. The assessment of nutritional status included the Geriatric Nutritional Risk Index (GNRI), the Patient Generated Subjective Global Assessment (PG-SGA) and sarcopenia. GNRI was based on preoperative values of patients’ serum albumin and body weight. The preoperative assessment of sarcopenia was based on Skeletal Muscle Index (SMI) derived from analysis of CT scans using SliceOmatic® Software version 4.3 (Tomovision, Montreal, Canada). Postoperative complications were graded according to Clavien-Dindo classification. Minor complications included categories I-II, whereas major complications included categories III-V. Results Thirty nine patients (47.6%) developed postoperative complications. More specifically, 21 patients (24.7%) developed minor complications and 18 patients (21.2%) developed major complications, while anastomotic leakage occurred in 10 patients (11.8%). Eighty patients (94.1%) had a high-risk GNRI (<92), while 5 patients (5.9%) had a low-risk GNRI (≥92). Forty four patients (51.8%) were diagnosed with sarcopenia. The mean PG-SGA score was 8.82 ± 5.57. Patients with a high-risk GNRI demonstrated significantly higher rate of overall complications compared to low-risk GNRI patients (100% vs 44.2%, p<0.05 respectively). Moreover, the rate of anastomotic leakage was significantly higher in the sarcopenia group than in the non-sarcopenia group (29% vs 3.4%, p<0.05). Nonetheless, PG-SGA was not significantly associated with postoperative outcomes. Conclusion Higher-risk scores on the GNRI are associated with an increased risk for developing postoperative complications, while sarcopenia is associated with higher risk for anastomotic leakage among esophageal cancer patients. Preoperative assessment of GNRI and sarcopenia should be performed in all patients in order to detect patients who are at greater risk of postoperative morbidity.

Prognostic Factors in Esophageal Cancer

1997 ◽  
Vol 6 (3) ◽  
pp. 515-531 ◽  
Author(s):  
Marco G. Patti ◽  
David Owen
Keyword(s):  
Esophageal Cancer ◽  
Prognostic Factors

RA10.04: POSTOPERATIVE PNEUMONIA IS ASSOCIATED WITH SHORT-TERM AND LONG-TERM MORTALITY OF DEFINITIVE CHEMORADIOTHERAPY FOLLOWED BY SALVAGE ESOPHAGECTOMY FOR ESOPHAGEAL CANCER

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 43-43
Author(s):  
Masashi Takeuchi ◽  
Hirofumi Kawakubo ◽  
Shuhei Mayanagi ◽  
Kazumasa Fukuda ◽  
Rieko Nakamura ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Prognostic Factors ◽  
Prediction Model ◽  
Salvage Surgery ◽  
Postoperative Pneumonia ◽  
Short Term ◽  
Definitive Chemoradiotherapy ◽  
Invasive Approach ◽  
Salvage Esophagectomy

Abstract Background Although definitive chemoradiotherapy (CRT) with salvage esophagectomy has improved overall survival (OS) for esophageal cancer, it is a more invasive approach than neoadjuvant CRT followed by surgery or surgery alone, and causes high mortality after surgery. The purpose of this study was to investigate the short and long-term outcomes of salvage esophagectomy, to determine their prognostic factors, and to create a prediction model for OS using a classification and regression tree (CART). Methods Ninety patients who had undergone CRT followed by esophagectomy for thoracic esophageal cancer at Keio University Hospital, Tokyo, Japan, between June 1994 and August 2014 were identified for this study. We divided the 90 patients into two groups—the salvage group and the neoadjuvant group—according to the dose of irradiation of CRT. Forty-four patients who underwent CRT with radiation dose less than 50 Gy, followed by planned esophagectomy, were allocated to the neoadjuvant group. Forty-six patients with salvage esophagectomy for locally recurrent or residual cancer after definitive CRT (greater than 50 Gy) were allocated to the salvage group. Results Patients from the salvage group tended to have a lower OS (median survival: Salvage, 25 months vs neoadjuvant, 50 months, P = 0.149). In the salvage group, pneumonia and age were identified as factors predictive of in-hospital mortality. OS was significantly lower in patients with postoperative pneumonia and female gender. We set the prediction model for OS in the salvage group using survival CART. The group of R1/2 resection aged ≥ 56.5 years and the group suffering from postoperative pneumonia were the groups at highest risk; the area under the curve was 0.72. Conclusion The present study demonstrates the short-term and long-term prognostic factors of salvage esophagectomy after definitive CRT for esophageal cancer. Achieving improvement in OS after salvage surgery requires increased R0 resection rates and decreased pulmonary complications. Both informed decision making in the adoption of salvage surgery and specific plans to reduce pneumonia through means such as pulmonary rehabilitation are required. Disclosure All authors have declared no conflicts of interest.

PS02.070: DEEP NEURAL NETWORK TO PREDICT POOR PROGNOSTIC FACTORS IN PATIENTS WITH ESOPHAGEAL CANCER

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 140-140
Author(s):  
Po-Kuei Hsu ◽  
Joe Yeh
Keyword(s):  
Neural Network ◽  
Positron Emission Tomography ◽  
Esophageal Cancer ◽  
Prognostic Factors ◽  
Convolutional Neural Network ◽  
Tumor Cells ◽  
Lymphovascular Invasion ◽  
Perineural Invasion ◽  
Emission Tomography ◽  
Positron Emission

Abstract Background Both lymphovascular invasion, which is characterized by penetration of tumor cells into the peritumoural vascular or lymphatic network, and perineural invasion, which is characterized by involvement of tumor cells surrounding nerve fibers, are considered as an important step for tumor spreading, and are known poor prognostic factors in esophageal cancer. However, the information of these histological features is unavailable until pathological examination of surgical resected specimens. We aim to predict the presence or absence of these factors by positron emission tomography images during staging workup. Methods The positron emission tomography images before treatment and pathological reports of 278 patients who underwent esophagectomy for squamous cell carcinoma were collected. Stepwise convolutional neural network was constructed to distinguish patient with either lymphovascular invasion or perineural invasion from those without. Results Randomly selected 248 patients were included in the testing set. Stepwise approach was used in training our custom neural network. The performance of fine-tuned neural network was tested in another independent 30 patients. The accuracy rate of predicting the presence or absence of either lymphovascular invasion or perineural invasion was 66.7% (20 of 30 were accurate). Conclusion Using pre-treatment positron emission tomography images alone to predict the presence of absence of poor prognostic histological factors, i.e. lymphovascular invasion or perineural invasion, with deep convolutional neural network is possible. The technique of deep learning may identify patients with poor prognosis and enable personalized medicine in esophageal cancer. Disclosure All authors have declared no conflicts of interest.

Prognostic factors for medium- and long-term survival of esophageal cancer patients in the Netherlands

2013 ◽  
Vol 109 (5) ◽  
pp. 465-471 ◽  
Author(s):  
Pauline Bus ◽  
Valery E. Lemmens ◽  
Martijn G. van Oijen ◽  
Geert-Jan Creemers ◽  
Grard A. Nieuwenhuijzen ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Prognostic Factors ◽  
The Netherlands ◽  
Cancer Patients ◽  
Term Survival ◽  
Long Term Survival
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