scholarly journals Prognostic Value of Lymphovascular Invasion in Stage Ⅱ Colorectal Cancer Patients with an Inadequate Examination of Lymph Nodes.

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.

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.


PLoS ONE ◽  
2012 ◽  
Vol 7 (3) ◽  
pp. e34087 ◽  
Author(s):  
Yong-Xi Song ◽  
Peng Gao ◽  
Zhen-Ning Wang ◽  
Ji-Wang Liang ◽  
Zhe Sun ◽  
...  

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 31-31
Author(s):  
Shaobo Mo ◽  
Yaqi Li ◽  
Junjie Peng ◽  
SanJun Cai

31 Background: Survival outcomes are significant different in stage II colorectal cancer (CRC) patients with diverse clinicopathological features. Objective of this study is to establish a credible prognostic nomogram incorporating easily obtained parameters for stage II CRC patients. Methods: A total of 1708 stage II CRC patients at Fudan University Shanghai Cancer Center (FUSCC) during 2008 to 2013 were retrospectively analyzed in this study. Cases were randomly separated into training set (n = 1084) and validation set (n = 624). Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors which were subsequently incorporated into a nomogram. The performance of the nomogram was evaluated by C-index and ROC curve to calculate the area under the curve (AUC). The clinical utility of the nomogram was evaluated using decision curve analysis (DCA). Results: In univariate and multivariate analyses, eight parameters were correlated with disease free survival (DFS), which were subsequently selected to draw prognostic nomogram based on DFS. For DFS predictions, the predicted concordance index (C-index) of the nomogram was 0.842 (95% confidence interval (CI), 0.710-0.980), and 0.701 (95% CI, 0.610-0.770) for training and validation set, respectively. The AUC values of ROC predicted 1, 3 and 5-year survival of nomogram in the training and validation groups were 0.869, 0.858, 0.777 and 0.673, 0.714, 0.706, respectively. The recurrence probability calibration curve showed good consistency between actual observations and nomogram-based predictions. DCA showed better clinical application value for the nomogram compared with TNM staging system. Conclusions: A novel nomogram based on a large population study was established and validated, which is a simple-to-use tool for physicians to facilitate the postoperative personalized prognostic evaluation and determine therapeutic strategies for stage II CRC patients.


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.


2011 ◽  
Vol 29 (18) ◽  
pp. 2487-2492 ◽  
Author(s):  
Iris D. Nagtegaal ◽  
Tibor Tot ◽  
David G. Jayne ◽  
Phil McShane ◽  
Anders Nihlberg ◽  
...  

Purpose New editions of the TNM staging system for colorectal cancer have been subject to extensive criticism. In the current study, we evaluate each edition of TNM and analyze stage migration caused by the different versions. Patients and Methods Two independent test populations were used: participants derived from a randomized surgical trial from the United Kingdom (n = 455) and patients from a population-based series from Sweden (n = 505). All slides from these patient cases were reviewed with special attention for the presence of tumor deposits. Tumor deposits were classified according to the fifth, sixth, and seventh editions of TNM and correlated with prognosis. Results Every change in edition of TNM led to a stage migration of between 33% and 64% in patients with tumor deposits. Reproducibility was best in the fifth edition of TNM. The prognostic value of the seventh edition was best only when all tumor deposits irrespective of size or contour were included as lymph nodes. The prognostic value of the fifth edition was better than that of the sixth. Conclusion We demonstrate there is a place for tumor deposits in the staging of patients with colorectal cancer. However, many questions remain about their definition and the reproducibility and use of this category in special situations, such as after neoadjuvant treatment. These should be the subject of additional research before use as a factor in TNM staging. This work demonstrates the necessity of testing modifications before their introduction.


1986 ◽  
Vol 4 (3) ◽  
pp. 370-378 ◽  
Author(s):  
T J Pedrick ◽  
S S Donaldson ◽  
R S Cox

Seventy-four patients with rhabdomyosarcoma were initially staged according to the Intergroup Rhabdomyosarcoma Study (IRS) grouping classification and then retrospectively using a TNM staging system based on the initial clinical extent of disease. The TNM system includes T1, tumor confined to site or organ of origin; T2, regional extension beyond the site of origin; N0, normal lymph nodes; N1, lymph nodes containing tumor; M0, no evidence of metastases; and M1, distant metastases. All patients received combination chemotherapy, and more than 90% received radiation therapy as part of their initial treatment program with curative intent. Fifty-three of 74 patients (72%) were group III according to the IRS system, indicating unresectable or gross residual tumor. A more uniform distribution was achieved using the TNM system. Freedom from relapse (FFR) was 43% and the actuarial survival rate was 47% for the entire study group at 10 years. All but one relapse occurred within 3 years of initial diagnosis, and only three of 38 relapsed patients were salvaged. All TNM stage I patients are surviving disease free. Among patients having stages II, III, and IV disease by the TNM system, FFR was 53%, 26%, and 11%, and the survival rates were 47%, 36%, and 33%, respectively. Thirty-two of 74 patients (43%) had evidence of lymph node involvement at presentation, and 28 (88%) of these had primary lesions that extended beyond the site of origin (T2 primary). Histologic subtype and primary site had little impact on outcome in a multivariate analysis, and T stage was identified as the single most significant covariate correlated with survival; a model composed of both T stage and M stage was the best one for predicting relapse. The presented data support a study using a prospectively assigned TNM staging system based on the initial clinical extent of disease for use in future therapeutic trials.


2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 593-593
Author(s):  
Ricky Rodriguez ◽  
Bryce Daniel Perkins ◽  
Peter Yong Soo Park ◽  
Phillip Koo ◽  
Madappa N. Kundranda ◽  
...  

593 Background: Prognosis of colorectal cancer (CRC) is greatly influenced by stage at diagnosis. Early colorectal cancer can be subtle on CT scans showing only mild wall thickening, small polyps, or subtle lymph nodes. Identifying these lesions on CT performed for nonspecific symptoms can help identify interval CRC and improve patient outcome. The purpose of the present study is to classify missed CRC on abdominal CT by their imaging features and whether early identification can downstage CRC patients. Methods: A retrospective analysis was conducted of patients (pts) diagnosed with CRC. Data collection included age, gender, ECOG, KRAS mutation status, overall survival (OS). CT obtained prior to and at diagnosis were evaluated. Images were reviewed for multiple CT features including appearance of mass, mesenteric infiltration, abnormal draining lymph nodes, contrast enhancement relative to adjacent mucosa, and intralesional calcifications. Staging was evaluated using available CT scan and based on the TNM staging system for CRC. Results: The 41 pts with 51 prediagnostic CTs from 1/1/2012 - 12/31/2015 had mean age of 68 years (range:44-90 ) Mean ECOG status for the population was 1.46. 41% of the prediagnostic CTs had missed findings. 52 and 43 % of the missed findings were in the rectosigmoid and ascending colon respectively. Of the 15 missed masses, 9 appeared as asymmetric wall thickening, 3 as concentric wall thickening, and 3 as polyps. Of the 14 missed lymph node groups, 2 were excluded due to stability or nonrelated condition. The remaining lymph nodes were found in the associated draining station and averaged 3±1.2 mm in size. On average, the stage at prediagnostic CT was 3A and the diagnostic CT was 3C (p = 0.0015). Average time lapse between prediagnostic and diagnostic CT was 21 months (3-64 months). Conclusions: High percentage of CRC findings are missed on abdominal CT due to their subtle feature, with most misses in the rectosigmoid and ascending colon. A dedicated search can improve detection by specifically looking for polyps, wall thickening, and small lymph nodes in the draining station. Early detection of CRC can improve survival by lowering the stage from 3C to 3A, thus providing 36% improvement in 5-year survival.


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 ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document