Clinicopathological features and prognostic factors of colorectal neuroendocrine neoplasms.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 572-572
Author(s):  
Mengjie Jiang ◽  
Hanguang Hu ◽  
Ying Yuan
Keyword(s):  
Prognostic Factors ◽  
Tumor Size ◽  
Cox Regression ◽  
Survival Rates ◽  
Delayed Diagnosis ◽  
Tumor Location ◽  
Neuroendocrine Neoplasms ◽  
Clinicopathological Feature ◽  
Ki 67 ◽  
Pathological Classification

572 Background: Limited research is available regarding colorectal neuroendocrine neoplasms (NENs), especially in China. The prognostic factors of colorectal NENs remain controversial. Methods: A total of 68 patients with colorectal NENs were studied retrospectively. Clinical characteristics and prognosis between colonic and rectal NENs were compared. The Kaplan-Meier method and Cox regression models were used to evaluate the capacity of various factors to predict the outcome. Results: Of the 68 colorectal NENs patients, 43 (63.2%) had rectal NENs, and 25 (36.8%) had colonic NENs. Compared with rectal NENs, colonic NENs more frequently exhibited larger tumor size ( P < 0.0001) and distant metastasis ( P < 0.0001). Colonic NENs had a worse prognosis ( P= 0.027), with 5-year overall survival rates of 66.7% vs. 88.1% compared with rectal NENs. Neuroendocrine tumors, neuroendocrine carcinomas and mixed adenoendocrine carcinomaswere noted in 61.8%, 23.5% and 14.7% of patients, respectively. According to the available data (n = 49), Ki-67 index values were ≤ 2% in 27 (39.7%) patients, ranged from 3 to 20% in 6 patients (8.8%) and were > 20% in 16 patients (23.5%). Multivariate analyses revealed that tumor location was not an independent prognostic factor ( P= 0.081), but tumor size ( P= 0.037) and pathological classification ( P= 0.012) were independent prognostic factors. Conclusions: Significant differences in clinicopathological feature and outcome exist between colonic and rectal NENs. Multivariate analysis indicated that tumor size and pathological classification were associated with the prognosis. However, tumor location was not an independent factor. The worse outcome of colonic NENs observed in clinical practice might be due not only to the biological differences, but also to larger tumor size in colonic NENs caused by the delayed diagnosis.

scholarly journals Clinicopathological Features and Prognostic Factors of Colorectal Neuroendocrine Neoplasms

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Mengjie Jiang ◽  
Yinuo Tan ◽  
Xiaofen Li ◽  
Jianfei Fu ◽  
Hanguang Hu ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Tumor Size ◽  
Cox Regression ◽  
Survival Rates ◽  
Delayed Diagnosis ◽  
Tumor Location ◽  
Neuroendocrine Neoplasms ◽  
Predictive Capacity ◽  
Pathological Classification ◽  
Biological Differences

Background. Limited research is available regarding colorectal NENs and the prognostic factors remain controversial. Materials and Methods. A total of 68 patients with colorectal NENs were studied retrospectively. Clinical characteristics and prognosis between colonic and rectal NENs were compared. The Cox regression models were used to evaluate the predictive capacity. Results. Of the 68 colorectal NENs patients, 43 (63.2%) had rectal NENs, and 25 (36.8%) had colonic NENs. Compared with rectal NENs, colonic NENs more frequently exhibited larger tumor size (P<0.0001) and distant metastasis (P<0.0001). Colonic NENs had a worse prognosis (P=0.027), with 5-year overall survival rates of 66.7% versus 88.1%. NET, NEC, and MANEC were noted in 61.8%, 23.5%, and 14.7% of patients, respectively. Multivariate analyses revealed that tumor location was not an independent prognostic factor (P=0.081), but tumor size (P=0.037) and pathological classification (P=0.012) were independent prognostic factors. Conclusion. Significant differences exist between colonic and rectal NENs. Multivariate analysis indicated that tumor size and pathological classification were associated with prognosis. Tumor location was not an independent factor. The worse outcome of colonic NENs observed in clinical practice might be due not only to the biological differences, but also to larger tumor size in colonic NENs caused by the delayed diagnosis.

scholarly journals Biliary Neuroendocrine Neoplasms: Analysis of Prognostic Factors and Development and Validation of a Nomogram

2021 ◽  
Vol 11 ◽  
Author(s):  
Shengnan Zhou ◽  
Shitao Jiang ◽  
Weijie Chen ◽  
Haixin Yin ◽  
Liangbo Dong ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Survival Time ◽  
Tumor Size ◽  
External Validation ◽  
Ampulla Of Vater ◽  
Validation Dataset ◽  
Neuroendocrine Neoplasms ◽  
Seer Database ◽  
Pathological Classification ◽  
Individual Survival

BackgroundFor this study, we explored the prognostic profiles of biliary neuroendocrine neoplasms (NENs) patients and identified factors related to prognosis. Further, we developed and validated an effective nomogram to predict the overall survival (OS) of individual patients with biliary NENs.MethodsWe included a total of 446 biliary NENs patients from the SEER database. We used Kaplan-Meier curves to determine survival time. We employed univariate and multivariate Cox analyses to estimate hazard ratios to identify prognostic factors. We constructed a predictive nomogram based on the results of the multivariate analyses. In addition, we included 28 biliary NENs cases from our center as an external validation cohort.ResultsThe median survival time of biliary NENs from the SEER database was 31 months, and the value of gallbladder NENs (23 months) was significantly shorter than that of the bile duct (45 months) and ampulla of Vater (33.5 months, p=0.023). Multivariate Cox analyses indicated that age, tumor size, pathological classification, SEER stage, and surgery were independent variables associated with survival. The constructed prognostic nomogram demonstrated good calibration and discrimination C-index values of 0.783 and 0.795 in the training and validation dataset, respectively.ConclusionAge, tumor size, pathological classification, SEER stage, and surgery were predictors for the survival of biliary NENs. We developed a nomogram that could determine the 3-year and 5-year OS rates. Through validation of our central database, the novel nomogram is a useful tool for clinicians in estimating individual survival among biliary NENs patients.

scholarly journals Survival after surgery among patients with cholangiocarcinoma in Northeast Thailand according to anatomical and morphological classification

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chaiwat Tawarungruang ◽  
Narong Khuntikeo ◽  
Nittaya Chamadol ◽  
Vallop Laopaiboon ◽  
Jaruwan Thuanman ◽  
...  
Keyword(s):  
Survival Rate ◽  
Survival Time ◽  
Median Survival ◽  
Median Survival Time ◽  
Cox Regression ◽  
Survival Rates ◽  
Care Program ◽  
Tumor Location ◽  
Northeast Thailand ◽  
Curative Surgery

Abstract Background Cholangiocarcinoma (CCA) has been categorized based on tumor location as intrahepatic (ICCA), perihilar (PCCA) or distal (DCCA), and based on the morphology of the tumor of the bile duct as mass forming (MF), periductal infiltrating (PI) or intraductal (ID). To date, there is limited evidence available regarding the survival of CCA among these different anatomical and morphological classifications. This study aimed to evaluate the survival rate and median survival time after curative surgery among CCA patients according to their anatomical and morphological classifications, and to determine the association between these classifications and survival. Methods This study included CCA patients who underwent curative surgery from the Cholangiocarcinoma Screening and Care Program (CASCAP), Northeast Thailand. The anatomical and morphological classifications were based on pathological findings after surgery. Survival rates of CCA and median survival time since the date of CCA surgery and 95% confidence intervals (CI) were calculated. Multiple cox regression was performed to evaluate factors associated with survival which were quantified by hazard ratios (HR) and their 95% CIs. Results Of the 746 CCA patients, 514 had died at the completion of the study which constituted 15,643.6 person-months of data recordings. The incidence rate was 3.3 per 100 patients per month (95% CI: 3.0–3.6), with median survival time of 17.8 months (95% CI: 15.4–20.2), and 5-year survival rate of 24.6% (95% CI: 20.7–28.6). The longest median survival time was 21.8 months (95% CI: 16.3–27.3) while the highest 5-year survival rate of 34.8% (95% CI: 23.8–46.0) occurred in the DCCA group. A combination of anatomical and morphological classifications, PCCA+ID, was associated with the longest median survival time of 40.5 months (95% CI: 17.9–63.0) and the highest 5-year survival rate of 42.6% (95% CI: 25.4–58.9). The ICCA+MF combination was associated with survival (adjusted HR: 1.45; 95% CI: 1.01–2.09; P = 0.013) compared to ICCA+ID patients. Conclusions Among patients receiving surgical treatment, those with PCCA+ID had the highest 5-year survival rate, which was higher than in groups classified by only anatomical characteristics. Additionally, the patients with ICCA+MF tended to have unfavorable surgical outcomes. Showed the highest survival association. Therefore, further investigations into CCA imaging should focus on patients with a combination of anatomical and morphological classifications.

scholarly journals Clinicopathological characteristics and prognostic factors of cervical adenocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min Wang ◽  
Bo Yuan ◽  
Zhen-huan Zhou ◽  
Wei-wei Han
Keyword(s):  
Prognostic Factors ◽  
Tumor Size ◽  
Survival Rates ◽  
Tumor Grade ◽  
Figo Stage ◽  
Cervical Adenocarcinoma ◽  
Stage Ii ◽  
Prognostic Indicators ◽  
Rank Test ◽  
Cancer Specific Survival

AbstractWe aimed to assess the clinicopathological features and to determine the prognostic factors of cervical adenocarcinoma (AC). Relevant data were extracted from surveillance, epidemiology and end results database from 2004 to 2015. The log-rank test and Cox proportional hazard analysis were subsequently utilized to identify independent prognostic factors. A total of 3102 patients were identified. The enrolled patients were characterized by higher proportion of early FIGO stage (stage I: 65.9%; stage II: 14.1%), low pathological grade (grade I/II: 49.1%) and tumor size ≤ 4 cm (46.8%). The 5- and 10-year cancer-specific survival rates of these patients were 74.47% and 70.00%, respectively. Meanwhile, the 5- and 10-year overall survival (OS) rates were 71.52% and 65.17%, respectively. Multivariate analysis revealed that married status, surgery as well as chemotherapy were independent favorable prognostic indicators. Additionally, aged > 45, tumor grade III/IV, tumor size > 4 cm, advanced FIGO stage and pelvic lymph node metastasis (LNM) were unfavorable prognostic factors (all P < 0.01). Stratified analysis found that patients without surgery could significantly benefit from chemotherapy and radiotherapy. In addition, chemotherapy could significantly improve the survival in stage II–IV patients and radiotherapy could only improve the survival in stage III patients (all P < 0.01). Marital status, age, grade, tumor size, FIGO stage, surgery, pelvic LNM and chemotherapy were significantly associated with the prognosis of cervical AC.

scholarly journals Establishment of age group classification for risk stratification in glioma patients

2020 ◽  
Author(s):  
Zhiying Lin ◽  
Runwei Yang ◽  
Yawei Liu ◽  
Kaishu Li ◽  
Guozhong Yi ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Risk Stratification ◽  
Tumor Size ◽  
Age Groups ◽  
Tumor Location ◽  
Group Classification ◽  
Age Group ◽  
Ki 67 ◽  
Who Grade ◽  
Age Group Classification

Abstract Objective: Age is associated with the prognosis of glioma patients, but there is no uniform standard of age-group classification to evaluate the prognosis of glioma patients. In this study, we aimed to establish an age group classification for risk stratification in glioma patients. Methods: A total of 1502 patients diagnosed with gliomas at Nanfang Hospital between 2000 and 2018 were enrolled. The WHO grade of glioma was used as a dependent variable to evaluate the effect of age on risk stratification. The evaluation model was established by logistic regression, and the Akaike information criterion (AIC) value of the model was used to determine the optimal cutoff points for age-classification. The differences in gender, WHO grade, pathological subtype, tumor cell differentiation direction, tumor size, tumor location, and molecular markers between different age groups were analyzed. The molecular markers included GFAP, EMA, MGMT, p53, NeuN, Oligo2, EGFR, VEGF, IDH1, Ki-67, 1p/19q, PR, CD3, H3K27M, and TS. Results: The proportion of men with glioma was higher than that of women with glioma (58.3% vs 41.7%). Analysis of age showed that appropriate classifications of age group were 0-14 years old (pediatric group), 15-47 years old (youth group), 48-63 years old (middle-aged group), and ≥64 years old (elderly group).The proportions of glioblastoma and large tumor size (4-6 cm) increased with age (p = 0.000, p = 0.018, respectively ). Analysis of the pathological molecular markers across the four age groups showed that the proportion of patients with larger than 10% area of Ki-67 expression or positive PR expression increased with age (p = 0.000, p = 0.017, respectively). Conclusion: Age was effective evaluating the risk of glioblastoma in glioma patients. Appropriate classifications of age group for risk stratification were 0-14 years old (pediatric group), 15-47 years old (young group), 48-63 years old (middle age group) and ≥ 64 years old (elderly group). There was significant heterogeneity in WHO grade, tumor size, tumor location and some molecular markers among the four age groups.

scholarly journals Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database

2020 ◽  
Vol 19 ◽  
pp. 153303382094770
Author(s):  
Peng Fu ◽  
Yu Shi ◽  
Gang Chen ◽  
Yaohua Fan ◽  
Yanhong Gu ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Survival Data ◽  
Risk Model ◽  
Cox Regression ◽  
Survival Rates ◽  
Rare Type ◽  
Hazards Model ◽  
Kaplan Meier ◽  
Endpoint Event ◽  
Prognostic Risk Factors

Background: Osteosarcoma is a rare type of bone tumor, and this study aimed to assess the clinicopathologic features and prognoses of osteosarcoma patients. Methods: Clinicopathologic and survival data of 1025 patients between 2010 and 2016, 230 between 2008 and 2009 were downloaded and analyzed from the SEER database. Patients’ survival was analyzed using the Kaplan-Meier analysis; prognostic factors were assessed using the Cox regression hazards model. The 1-, 3-, and 5-year survival rates were estimated with nomogram. Competitive risk models were used to identify prognostic risk factors related to endpoint events of osteosarcoma patients. Results: Overall, 722 samples were obtained from the extremities, 134 from the axial bones, and 119 from the cranial and mandible in SEER (2010-2016 cohort). After the preliminary diagnosis, the median survival time of patients with osteosarcoma was 39 months, and the 1-, 3-, and 5-year survival rates were 87.3%, 67.2%, and 58.0%, respectively (P < 0.001). The competitive risk model revealed no competitive risks of the endpoint event. Conclusion: Our study found out the prognostic factors in patients with Osteosarcoma by Cox regression hazards model, after that, nomogram was established to predict the 1-, 3-, and 5-year survival rates, which may help oncologists to understand the highly malignant tumor.

scholarly journals Time Trends and Prognostic Factors for Overall Survival in Myxoid Liposarcomas: A Population-Based Study

Sarcoma ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Jules Lansu ◽  
Winan J. Van Houdt ◽  
Michael Schaapveld ◽  
Iris Walraven ◽  
Michiel A. J. Van de Sande ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
The Netherlands ◽  
Metastatic Disease ◽  
Lower Limb ◽  
Tumor Size ◽  
Tumor Location ◽  
Population Based ◽  
Population Based Study ◽  
Over Time

Background. The purpose of this study was to evaluate the overall survival (OS) and associated characteristics for patients with Myxoid Liposarcoma (MLS) over time in The Netherlands. Methods. A population-based study was performed of patients with primary localized (n = 851) and metastatic (n = 50) MLS diagnosed in The Netherlands between 1989 and 2016, based on data from the National Cancer Registry. Results. The median age of the MLS patients was 49 years, and approximately two-thirds was located in the lower limb. An association was revealed between age and the risk of having a Round Cell (RC) tumor. OS rates for primary localized MLS were 93%, 83%, 78%, and 66% after 1, 3, 5, and 10 years, respectively. The median OS for patients with metastatic disease at diagnosis was 10 months. Increasing age (Hazard Ratio (HR) 1.05, p=0.00), a tumor size >5 cm (HR 2.18; p=0.00), and tumor location (trunk HR 1.29; p=0.09, upper limb HR 0.83; p=0.55, and “other” locations HR 2.73; p=0.00, as compared to lower limb) were independent prognostic factors for OS. The percentage of patients treated with radiotherapy (RT) increased over time, and preoperative RT gradually replaced postoperative RT. In contrast to patients with localized disease, significant improvement of OS was observed in patients with metastatic disease over time. Conclusions. In this large nationwide cohort, tumor size and tumor location were independent prognostic factors for OS. Furthermore, a higher probability of an RC tumor with increasing age was suggested. An increased use of RT over the years did not translate into improved OS for localized MLS.

scholarly journals Analysis of Prognostic Factors of World Health Organization Grade Ⅲ Meningiomas

2020 ◽  
Vol 10 ◽  
Author(s):  
Weidong Tian ◽  
Jingdian Liu ◽  
Kai Zhao ◽  
Junwen Wang ◽  
Wei Jiang ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Cox Regression ◽  
Postoperative Radiotherapy ◽  
World Health ◽  
Low Grade ◽  
Ki 67 ◽  
Who Grade ◽  
Who Grade Iii ◽  
Grade Iii

ObjectiveWHO grade III meningiomas are highly aggressive and lethal. However, there is a paucity of clinical information because of a low incidence rate, and little is known for prognostic factors. The aim of this work is to analyze clinical characteristics and prognosis in patients diagnosed as WHO grade III meningiomas.Methods36 patients with WHO grade III meningiomas were enrolled in this study. Data on gender, age, clinical presentation, preoperative Karnofsky Performance Status (KPS), histopathologic features, tumor size, location, radiologic findings, postoperative radiotherapy (RT), surgical treatment, and prognosis were retrospectively analyzed. Progression-free survival (PFS) and overall survival (OS) were evaluated using the Kaplan-Meier method. Univariate and multivariate analysis were conducted by the Cox regression model.ResultsMedian PFS is 20 months and median OS is 36 months in 36 patients with WHO grade III meningiomas. Patients with secondary tumors which transformed from low grade meningomas had lower PFS (p=0.0014) compared with primary group. Multivariate analysis revealed that tumors location (PFS, p=0.016; OS, p=0.013), Ki-67 index (PFS, p=0.004; OS, p&lt;0.001) and postoperative radiotherapy (PFS, p=0.006; OS, p&lt;0.001) were associated with prognosis.ConclusionWHO grade III meningiomas which progressed from low grade meningiomas were more prone to have recurrences or progression. Tumors location and Ki-67 index can be employed to predict patient outcomes. Adjuvant radiotherapy after surgery can significantly improve patient prognosis.

scholarly journals The Identification of Prognostic Factors and Survival Statistics of Conventional Central Chondrosarcoma

Sarcoma ◽  
2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Sjoerd P. F. T. Nota ◽  
Yvonne Braun ◽  
Joseph H. Schwab ◽  
C. Niek van Dijk ◽  
Jos A. M. Bramer
Keyword(s):  
Prognostic Factors ◽  
Survival Rates ◽  
Disease Free Survival ◽  
Selection Procedure ◽  
Tumor Location ◽  
Low Grade ◽  
High Grade ◽  
Dedifferentiated Chondrosarcoma ◽  
Free Survival ◽  
Disease Free

Introduction. Chondrosarcomas are malignant bone tumors that are characterized by the production of chondroid tissue. Since radiation therapy and chemotherapy have limited effect on chondrosarcoma, treatment of most patients depends on surgical resection. We conducted this study to identify independent predictive factors and survival characteristics for conventional central chondrosarcoma and dedifferentiated central chondrosarcoma.Methods. A systematic literature review was performed in September 2014 using the Pubmed, Embase, and Cochrane databases. Subsequent to a beforehand-composed selection procedure we included 13 studies, comprising a total of 1114 patients.Results. The prognosis of central chondrosarcoma is generally good for the histologically low-grade tumors. Prognosis for the high-grade chondrosarcoma and the dedifferentiated chondrosarcoma is poor with lower survival rates. Poor prognostic factors in conventional chondrosarcoma for overall survival are high-grade tumors and axial/pelvic tumor location. In dedifferentiated chondrosarcoma the percentage of dedifferentiated component has significant influence on disease-free survival.Conclusion. Despite the fact that there are multiple prognostic factors identified, as shown in this study, there is a need for prospective and comparative studies. The resulting knowledge about prognostic factors and survival can give direction in the development of better therapies. This could eventually lead to an evidence-based foundation for treating chondrosarcoma patients.

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