scholarly journals Prognostic Factors in Colorectal Cancer

2000 ◽  
Vol 124 (7) ◽  
pp. 979-994 ◽  
Author(s):  
Carolyn C. Compton ◽  
L. Peter Fielding ◽  
Lawrence J. Burgart ◽  
Barbara Conley ◽  
Harry S. Cooper ◽  
...  

Abstract Background.—Under the auspices of the College of American Pathologists, the current state of knowledge regarding pathologic prognostic factors (factors linked to outcome) and predictive factors (factors predicting response to therapy) in colorectal carcinoma was evaluated. A multidisciplinary group of clinical (including the disciplines of medical oncology, surgical oncology, and radiation oncology), pathologic, and statistical experts in colorectal cancer reviewed all relevant medical literature and stratified the reported prognostic factors into categories that reflected the strength of the published evidence demonstrating their prognostic value. Accordingly, the following categories of prognostic factors were defined. Category I includes factors definitively proven to be of prognostic import based on evidence from multiple statistically robust published trials and generally used in patient management. Category IIA includes factors extensively studied biologically and/or clinically and repeatedly shown to have prognostic value for outcome and/or predictive value for therapy that is of sufficient import to be included in the pathology report but that remains to be validated in statistically robust studies. Category IIB includes factors shown to be promising in multiple studies but lacking sufficient data for inclusion in category I or IIA. Category III includes factors not yet sufficiently studied to determine their prognostic value. Category IV includes factors well studied and shown to have no prognostic significance. Materials and Methods.—The medical literature was critically reviewed, and the analysis revealed specific points of variability in approach that prevented direct comparisons among published studies and compromised the quality of the collective data. Categories of variability recognized included the following: (1) methods of analysis, (2) interpretation of findings, (3) reporting of data, and (4) statistical evaluation. Additional points of variability within these categories were defined from the collective experience of the group. Reasons for the assignment of an individual prognostic factor to category I, II, III, or IV (categories defined by the level of scientific validation) were outlined with reference to the specific types of variability associated with the supportive data. For each factor and category of variability related to that factor, detailed recommendations for improvement were made. The recommendations were based on the following aims: (1) to increase the uniformity and completeness of pathologic evaluation of tumor specimens, (2) to enhance the quality of the data needed for definitive evaluation of the prognostic value of individual prognostic factors, and (3) ultimately, to improve patient care. Results and Conclusions.—Factors that were determined to merit inclusion in category I were as follows: the local extent of tumor assessed pathologically (the pT category of the TNM staging system of the American Joint Committee on Cancer and the Union Internationale Contre le Cancer [AJCC/UICC]); regional lymph node metastasis (the pN category of the TNM staging system); blood or lymphatic vessel invasion; residual tumor following surgery with curative intent (the R classification of the AJCC/UICC staging system), especially as it relates to positive surgical margins; and preoperative elevation of carcinoembryonic antigen elevation (a factor established by laboratory medicine methods rather than anatomic pathology). Factors in category IIA included the following: tumor grade, radial margin status (for resection specimens with nonperitonealized surfaces), and residual tumor in the resection specimen following neoadjuvant therapy (the ypTNM category of the TNM staging system of the AJCC/UICC). Factors in category IIB included the following: histologic type, histologic features associated with microsatellite instability (MSI) (ie, host lymphoid response to tumor and medullary or mucinous histologic type), high degree of MSI (MSI-H), loss of heterozygosity at 18q (DCC gene allelic loss), and tumor border configuration (infiltrating vs pushing border). Factors grouped in category III included the following: DNA content, all other molecular markers except loss of heterozygosity 18q/DCC and MSI-H, perineural invasion, microvessel density, tumor cell–associated proteins or carbohydrates, peritumoral fibrosis, peritumoral inflammatory response, focal neuroendocrine differentiation, nuclear organizing regions, and proliferation indices. Category IV factors included tumor size and gross tumor configuration. This report records findings and recommendations of the consensus conference group, organized according to structural guidelines defined herein.

Author(s):  
Junxian Wu ◽  
Linbin Lu ◽  
Hong Chen ◽  
Yihong Lin ◽  
Huanlin Zhang ◽  
...  

Abstract Purpose The present study aimed to identify independent clinicopathological and socio-economic prognostic factors associated with overall survival of early-onset colorectal cancer (EO-CRC) patients and then establish and validate a prognostic nomogram for patients with EO-CRC. Methods Eligible patients with EO-CRC diagnosed from 2010 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into a training cohort and a testing cohort. Independent prognostic factors were obtained using univariate and multivariate Cox analyses and were used to establish a nomogram for predicting 3- and 5-year overall survival (OS). The discriminative ability and calibration of the nomogram were assessed using C-index values, AUC values, and calibration plots. Results In total, 5585 patients with EO-CRC were involved in the study. Based on the univariate and multivariate analyses, 15 independent prognostic factors were assembled into the nomogram to predict 3- and 5-year OS. The nomogram showed favorable discriminatory ability as indicated by the C-index (0.840, 95% CI 0.827–0.850), and the 3- and 5-year AUC values (0.868 and 0.84869 respectively). Calibration plots indicated optimal agreement between the nomogram-predicted survival and the actual observed survival. The results remained reproducible in the testing cohort. The C-index of the nomogram was higher than that of the TNM staging system (0.840 vs 0.804, P < 0.001). Conclusion A novel prognostic nomogram for EO-CRC patients based on independent clinicopathological and socio-economic factors was developed, which was superior to the TNM staging system. The nomogram could facilitate postoperative individual prognosis prediction and clinical decision-making.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhenyan Gao ◽  
Huihua Cao ◽  
Xiang Xu ◽  
Qing Wang ◽  
Yugang Wu ◽  
...  

Abstract Background Lymphovascular invasion (LVI) is defined as the presence of cancer cells in lymphatics or blood vessels. This study aimed to evaluate the prognostic value of LVI in stage II colorectal cancer (CRC) patients with inadequate examination of lymph nodes (ELNs) and further combined LVI with the TNM staging system to determine the predictive efficacy for CRC prognosis. Adjuvant chemotherapy (ACT) was then evaluated for stage II CRC patients with LVI positivity (LVI+). Methods In order to avoid the effects of different ACT regimens, among 409 stage II patients, we chose 121 patients who received FOLFOX regimen and the 144 patients who did not receive ACT as the object of study. LVI was examined by hematoxylin-eosin (HE) staining. Kaplan-Meier analysis followed by a log-rank test was used to analyze survival rates. Univariate and multivariate analyses were performed using a Cox proportional hazards model. Harrell’s concordance index (C-index) was used to evaluate the accuracy of different systems in predicting prognosis. Results The LVI+ status was significantly associated with pT stage, degree of differentiation, tumor stage, serum CEA and CA19-9 levels, perineural invasion (PNI), tumor budding (TB), and KRAS status. The 5-year overall survival (OS) rate of stage II patients with < 12 ELNs and LVI+ was less than stage IIIA. Multivariate analyses showed that LVI, pT-stage, serum CEA and CA19-9 levels, PNI, TB, and KRAS status were significant prognostic factors for stage II patients with < 12 ELNs. The 8th TNM staging system combined with LVI showed a higher C-index than the 8th TNM staging system alone (C-index, 0.895 vs. 0.833). Among patients with LVI+, the ACT group had a significantly higher 5-year OS and 5-year disease-free survival (DFS) than the surgery alone (SA) group (5-year OS, 66.7% vs. 40.9%, P = 0.004; 5-year DFS, 64.1% vs. 36.3%, P = 0.002). Conclusions LVI is an independent prognostic risk factor for stage II CRC patients. Combining LVI with the 8th TNM staging system improved the predictive accuracy for CRC prognosis. ACT in stage II CRC patients with LVI+ is beneficial for survival.


2021 ◽  
Author(s):  
Zhenyan Gao ◽  
Huihua Cao ◽  
Xiang Xu ◽  
Qing Wang ◽  
Yugang Wu ◽  
...  

Abstract BackgroundLymphovascular invasion (LVI) is defined as the existence of cancer cells in lymphatics or blood vessels. This study aimed to evaluate the prognostic value of LVI in stage Ⅱ colorectal cancer (CRC) patients with inadequate examination of lymph nodes (ELNs) and further combined LVI with the TNM staging system to determine the predictive efficacy for CRC prognosis. Adjuvant chemotherapy (ACT) was then evaluated for stage Ⅱ CRC patients with LVI positivity (LVI +).MethodsThe clinicopathologic records of 1420 CRC patients treated at the Third Affiliated Hospital of Soochow University between February 2007 and February 2013 were retrospectively reviewed. LVI was examined by hematoxylin-eosin (HE) staining. Kaplan-Meier analysis followed by a log-rank test was used to analyze survival rates. Univariate and multivariate analyses were performed using a Cox proportional hazards model. The Harrell’s concordance index (C-index) was used to evaluate the accuracy of different systems in predicting prognosis.ResultsThe LVI status was significantly associated with pT stage, degree of differentiation, tumor stage, serum CEA and CA19-9 levels, perineural invasion (PNI) and KRAS status. The 5-year overall survival (OS) rate of stage Ⅱ patients with < 12 ELNs and LVI + was less than stage ⅢA. Multivariate analyses showed that LVI, pT-stage, serum CEA and CA19-9 levels, PNI and KRAS status were significant prognostic factors for stage Ⅱ patients with < 12 ELNs. The 8th TNM staging system combined with LVI showed a higher C-index than the 8th TNM staging system alone (C-index, 0.895 vs. 0.833). Among patients with LVI + the ACT group had a significantly higher 5-year OS and 5-year disease-free survival (DFS) than the surgery alone (SA) group (5-year OS, 66.7% vs. 40.9%, P = 0.004; 5-year DFS, 64.1% vs. 36.3%, P = 0.002).ConclusionsLVI is an independent prognostic risk factor for stage Ⅱ CRC patients. Combining LVI with the 8th TNM staging system improved the predictive accuracy for CRC prognosis. ACT in stage Ⅱ CRC patients with LVI + is beneficial for survival.


2020 ◽  
Author(s):  
Chendong Wang

BACKGROUND Perihilar cholangiocarcinoma (pCCA) is a highly aggressive malignancy with poor prognosis. Accurate prediction is of great significance for patients’ survival outcome. OBJECTIVE The present study aimed to propose a prognostic nomogram for predicting the overall survival (OS) for patients with pCCA. METHODS We conducted a retrospective analysis in a total of 940 patients enrolled from the Surveillance, Epidemiology, and End Results (SEER) program and developed a nomogram based on the prognostic factors identified from the cox regression analysis. Concordance index (C-index), risk group stratification and calibration curves were adopted to test the discrimination and calibration ability of the nomogram with bootstrap method. Decision curves were also plotted to evaluate net benefits in clinical use against TNM staging system. RESULTS On the basis of multivariate analysis, five independent prognostic factors including age, summary stage, surgery, chemotherapy, together with radiation were selected and entered into the nomogram model. The C-index of the model was significantly higher than TNM system in the training set (0.703 vs 0.572, P<0.001), which was also proved in the validation set (0.718 vs 0.588, P<0.001). The calibration curves for 1-, 2-, and 3-year OS probabilities exhibited good agreements between the nomogram-predicted and the actual observation. Decision curves displayed that the nomogram obtained more net benefits than TNM staging system in clinical context. The OS curves of two distinct risk groups stratified by nomogram-predicted survival outcome illustrated statistical difference. CONCLUSIONS We established and validated an easy-to-use prognostic nomogram, which can provide more accurate individualized prediction and assistance in decision making for pCCA patients.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21030-e21030
Author(s):  
Meiying Guo ◽  
Xindong Sun ◽  
Jinming Yu ◽  
Linlin Wang

e21030 Background: The clinical benefits of immunotherapy in patients with stage I non-small cell lung cancer (NSCLC) is still controversial. Immune status plays critical role in the development and progression of NSCLC, and is associated with the patient survival outcomes. The analysis of immune features is thus valuable for the determination of immunotherapy. However, one single immune feature cannot reflect the complex immune status, and its prognostic value is extremely limited. In this study, we aimed to construct an immunoscore classifier based on multiple immuno-genes to predict the prognosis of patients with early NSCLC. Methods: A total of 522 patients with stage I NSCLC were included in this study. All patients' follow-up records and gene expression data were completely preserved. A least absolute shrinkage and selection operator (LASSO) algorithm was used to screen immune-related genes, and a COX proportional hazard regression model was used to construct the immunoscore classifier based on multiple immune-genes. Besides, the net reclassification improvement (NRI) calculation and concordance index (C-index) were applied to quantify the improvement of usefulness added by the immunoscore classifier compared to TNM staging system. Results: The immunoscore classifier including CCL5, CD8A, CXCL9, HLA-DQA1, LAG3, STAT1, and CD276 was significantly correlated with OS (HR: 2.785 CI: 1.809-4.289 P < 0.001) in patients with stage I NSCLC. With the optimal cut-off value of 4.32, all patients can be divided into a low-risk immune group and a high-risk immune group. The 10-year survival rates of the two groups were 36.8% and 12.3%, respectively. Besides, the immunoscore classifier was superior to the traditional TNM staging system in terms of distinguishing ability (C-index improvement by 0.075) and net reclassification ability (NRI improvement by 11.29%), indicating that the immunoscore classifier plays an important role in improving prognostic value. Conclusions: Multiple immune-genes based immunoscore classifiers can effectively predict the prognosis of patients with stage I NSCLC, and is significantly superior to the traditional TNM staging system in terms of prediction effectiveness and accuracy. As a new assessment tool, the immunoscore classifier may be helpful for determining the immune status of patients with stage I NSCLC and screening patients suitable for subsequent immunotherapy.


BMC Cancer ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Xiangxing Kong ◽  
Jun Li ◽  
Yibo Cai ◽  
Yu Tian ◽  
Shengqiang Chi ◽  
...  

2012 ◽  
Vol 255 (2) ◽  
pp. 208-213 ◽  
Author(s):  
Lin-lin Tong ◽  
Peng Gao ◽  
Zhen-ning Wang ◽  
Yong-xi Song ◽  
Ying-ying Xu ◽  
...  

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