scholarly journals Prognostic Value of Inflammatory Biomarkers in Patients With Stage I Lung Adenocarcinoma Treated With Surgical Dissection

2021 ◽  
Vol 11 ◽  
Author(s):  
Yu-Jia Shen ◽  
Li-Qiang Qian ◽  
Zheng-Ping Ding ◽  
Qing-Quan Luo ◽  
Heng Zhao ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Value ◽  
Disease Free Survival ◽  
Tnm Staging ◽  
Cox Proportional Hazards ◽  
Low Risk ◽  
Stage I ◽  
Inflammatory Biomarkers ◽  
Cancer Specific Survival ◽  
Validation Set

ObjectiveInflammation plays a crucial role in tumorigenesis and progression. Our purpose was to investigate the prognostic value of neutrophil-to-lymphocyte ratio (NLR), systemic inflammation response index (SIRI) and systemic immune-inflammation index (SII), and develop a nomogram to predict the cancer-specific survival (CSS) and disease-free survival (DFS) of stage I lung adenocarcinoma patients.Methods1431 patients undergoing surgical resection with pathologically confirmed stage I lung adenocarcinoma were reviewed. The optimal cut-off values for NLR, SII, and SIRI were defined by the receiver operating characteristic (ROC) curve. Cox proportional hazards regression analyses were performed to recognize factors significantly correlated with CSS and DFS to construct the nomogram. The value of adjuvant chemotherapy on model-defined high-risk and low-risk patients was further explored.ResultsThe cohort had a median follow-up time of 63 months. Multivariate analysis revealed that higher NLR (≥2.606), higher SIRI (≥0.705), higher SII (≥580.671), later T stage, histological pattern with solid or micropapillary components and radiologic features with solid nodules were significantly associated with worse CSS and DFS. The concordance index (C-index) of the nomogram established by all these factors was higher than that of the TNM staging system both in CSS (validation set 0.778 vs 0.652) and DFS (validation set 0.758 vs 0.695). Furthermore, the value of the established nomogram on risk stratification in stage I lung adenocarcinoma patients was validated.ConclusionsHigher NLR, SII and SIRI pretreatment were associated with worse survival outcomes. A practical nomogram based on these three inflammatory biomarkers may help clinicians to precisely stratify stage I lung adenocarcinoma patients into high- and low-risk and implement individualized treatment.

scholarly journals Tumor-Associated CD204-Positive Macrophage Is a Prognostic Marker in Clinical Stage I Lung Adenocarcinoma

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Yanbin Sun ◽  
Shun Xu
Keyword(s):  
Lung Adenocarcinoma ◽  
Proportional Hazards ◽  
Clinical Stage ◽  
Disease Free Survival ◽  
Cox Proportional Hazards ◽  
Stage I ◽  
Biological Behavior ◽  
Smoking History ◽  
Kaplan Meier ◽  
Lung Adenocarcinomas

Objective. Macrophages are the dominant leukocytes in the tumor microenvironment. Accumulating evidence revealed that CD204-positive (CD204+) tumor-associated macrophages (TAMs) are associated with the aggressive behavior of various cancers; however, the clinical, pathological, and prognostic associations of CD204+ TAMs with the subtype of lung adenocarcinoma have not been reported. Methods. Tissue microarray and immunohistochemistry were constructed from clinical stage I lung adenocarcinomas with radical surgical resection. The intratumoral density of CD204+ cells was calculated using image analysis software for analyses. Survival analyses were performed using the Kaplan-Meier method and multivariate Cox proportional hazards regression models. Results. The intratumoral density of CD204 was correlated with T stage, nodal involvement, lymphovascular invasion, and cancer relapse after the surgery, but not with age, gender, or smoking history. The density of CD204 in non-LPD was significantly higher than that in LPD. The 5-year disease-free survival (DFS) rate of CD204 high-density group was significantly worse than that of CD204 low-density group. Conclusions. The expression of CD204 in TAMs is associated with the aggressiveness of lung adenocarcinoma. Our results suggest that a specific immune microenvironment may be associated with the biological behavior of lung adenocarcinoma.

Prognostic Value of Multiparametric MRI-Based Radiomics model: Potential Role for Chemotherapeutic Benefits in Locally Advanced Rectal Cancer

2020 ◽  
Author(s):  
Yanfen Cui ◽  
Wenhui Yang ◽  
Jialiang Ren ◽  
Dandan Li ◽  
Xiaosong Du ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Proportional Hazards ◽  
Risk Group ◽  
Locally Advanced ◽  
Disease Free Survival ◽  
Advanced Rectal Cancer ◽  
Locally Advanced Rectal Cancer ◽  
Cox Proportional Hazards ◽  
Low Risk ◽  
Radiomics Signature

Abstract Background: Distant metastasis is the major cause of treatment failure in locally advanced rectal cancer (LARC). Adjuvant chemotherapy (AC) is usually used for distant control. However, only certain subgroups of patients could benefit from AC. Our aim was to develop a radiomics model for the prediction of survival and chemotherapeutic benefits using pretreatment multiparameter MR images and clinicopathological features in patients with LARC. Methods: 186 consecutive patients with LARC underwent feature extraction from the whole tumor on T2-weighted (T2w), contrast enhanced T1-weighted (cT1w), and ADC images. Feature selection was based on feature stability and the Boruta algorithm. Radiomics signatures for predicting DFS (disease-free survival) were then generated using the selected features. Combining clinical risk factors, a radiomics nomogram was constructed using Cox proportional hazards regression model. The predictive performance was evaluated by Harrell's concordance indices (C-index) and time-independent receiver operating characteristic (ROC) analysis. Results: Four features were selected to construct the radiomics signature, which was significantly associated with DFS (P < 0.001). The radiomics nomogram, incorporating radiomics signature and two clinicopathological variables (pN and tumor differentiation), exhibited better prediction performance for DFS than the clinicopathological model, with C-index of 0.780 (95%CI, 0.718-0.843) and 0.803 (95%CI, 0.717-0.889) in the training and validation cohorts, respectively. The radiomics nomogram-defined high-risk group had a shorter DFS, DMFS, and OS than those in the low-risk group (all P <0.05). Further analysis showed that patients with higher nomogram-defined score exhibited a favorable response to AC while the low-risk could not. Conclusion: This study demonstrated that the newly developed pretreatment multiparameter MRI-based radiomics model could serve as a powerful predictor of prognosis, and may act as a potential indicator for guiding AC in patients with LARC.

scholarly journals Solid component ratio influences prognosis of GGO-featured IA stage invasive lung adenocarcinoma

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fenghao Sun ◽  
Yiwei Huang ◽  
Xiaodong Yang ◽  
Cheng Zhan ◽  
Junjie Xi ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Value ◽  
Disease Free Survival ◽  
Ground Glass Opacity ◽  
Solid Component ◽  
Component Ratio ◽  
Tumor Diameter ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Models ◽  
Invasive Lung Adenocarcinoma

Abstract Background The computed tomography (CT) characteristic of ground glass opacity (GGO) were shown to be associated with clinical significance in lung adenocarcinoma. We evaluated the prognostic value of the solid component ratio of GGO IA invasive lung adenocarcinoma. Methods We retrospectively analyzed the records of GGO IA patients who received surgical resection from April 2012 to December 2015. The solid component ratio was calculated based on thin-slice CT scans. Baseline features were compared stratified by the ratio. Cox proportional hazard models and survival analyses were adopted to explore potential prognostic value regarding overall survival (OS) and disease-free survival (DFS). Results Four hundred fifteen patients were included. The higher ratio was significantly associated with larger tumor diameter, pathological subtypes and choice of surgical type. There was a significantly worse DFS with a > 50% ratio. The subgroups of 0% and ≤ 50% ratio showed close survival curves of DFS. Similar trends were observed in OS. Multivariate analyses revealed that the ratio was a significant predictor for DFS, but not for OS. No significant prognostic difference was observed between lobectomy and limited resections. Conclusion A higher solid component ratio may help to predict a significantly worse prognosis of GGO IA lung adenocarcinoma.

Improving the AJCC/TNM staging for adenocarcinomas of the appendix: The prognostic impact of histologic grade.

2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 402-402
Author(s):  
Michael J. Overman ◽  
Keith F. Fournier ◽  
Chung-Yuan Hu ◽  
Robert A. Wolff ◽  
Cathy Eng ◽  
...  
Keyword(s):  
Histological Grade ◽  
Stage Iv ◽  
Tnm Staging ◽  
Cox Proportional Hazards ◽  
Disease Stage ◽  
Prognostic Impact ◽  
Cancer Specific Survival ◽  
Mucinous Histology ◽  
Stage Iv Disease ◽  
Poorly Differentiated

402 Background: Though histological grade is known to have a major prognostic impact in metastatic mucinous appendiceal adenocarcinomas; the prognostic impact of grade in localized disease, and the validity of the AJCC Cancer Staging Manual 7th edition decision to combine moderately and poorly differentiated mucinous adenocarcinomas into a single mucinous high-grade category, is not known. Methods: Patients with adenocarcinoma of the appendix diagnosed between 1988-2007 were identified from the SEER database. Cancer-specific survival (CSS) stratified by histological subtype, stage and grade were calculated; and Cox proportional hazards regression analyses were performed. Results: We analyzed a total of 2,469 appendiceal adenocarcinomas, of which 1,375 had mucinous histology, 860 had non-mucinous histology, and 234 had signet-ring cell histology. Though overall CSS was similar for mucinous and non-mucinous subtypes, differences in stage distribution and stage-stratified CSS were seen. Female gender (57% vs.45%, P<0.01), stage IV disease (48% vs. 25%, P<0.01), and well differentiated histology (31% vs. 14%, P<0.01) were more common in mucinous as compared to non-mucinous adenocarcinomas. While histological grade for stage I-III cases was not statistically significant, it had strong prognostic impact for stage IV disease. The adjusted hazard ratios for stage IV well, moderately and poorly differentiated histological grade were 1 (reference), 1.63 (95%CI: 1.14-2.34) and 4.94 (95%CI: 3.32-7.35) for mucinous, in comparison to 1 (reference), 1.44 (95%CI: 0.82-2.52) and 1.90 (95%CI: 0.95-3.80) for non-mucinous histological subtypes, respectively. Conclusions: The strong prognostic impact of histological grade for mucinous adenocarcinomas is primarily restricted to stage IV disease. Stage IV moderately and poorly differentiated mucinous adenocarcinomas have distinctly different CSS and this data does not support the combination of these two histological grades in the recent AJCC 7th edition.

Evaluation of the prognostic value of guanylyl cyclase C (GCC) lymph node (LN) classification in patients with stage II colon cancer: A pooled analysis.

2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 443-443
Author(s):  
Daniel J. Sargent ◽  
Qian Shi ◽  
Murray B. Resnick ◽  
Stephen Lyle ◽  
Michael O. Meyers ◽  
...  
Keyword(s):  
Colon Cancer ◽  
High Risk ◽  
Clinical Outcomes ◽  
Prognostic Value ◽  
Disease Free Survival ◽  
Strong Relationship ◽  
Low Risk ◽  
Stage Ii ◽  
Risk Status ◽  
Cox Models

443 Background: Identification of a sensitive and specific prognostic marker would aid in the management of patients (pts) with standard histopathology node negative colon cancer (CC). We conducted a pooled individual pt data analysis to confirm the prognostic value of GCC for disease recurrence in untreated stage II CC. Methods: GCC mRNA was quantified by RT-qPCR using formalin-fixed LN from 310 stage II pts diagnosed from 1991-2006 enrolled in two studies (Sargent 2011 [study1] and Haince 2009 [study2]). Patients were classified by GCC LN ratio (LNR) (high risk: LNR ≥ 0.1; low risk: LNR < 0.1), with LNR defined as number of GCC positive LN divided by number of informative LNs. Clinical outcomes included time to recurrence (TTR), overall survival (OS), disease-specific survival (DSS) and disease-free survival (DFS). Stratified log-rank tests and multivariate Cox models assessed the association between clinical outcomes and GCC LN status. Results: The 5-year recurrence rate in study 1 (n=241) was 15.8%, 24.9% in study 2 (n=69). GCC LNR high risk pts had significantly higher risk of TTR, OS, DSS and DFS, which remained after adjusting for age, T stage, grade, number of LNs examined, and presence of lymphovascular invasion ( Table ). In a secondary analysis of low risk stage II pts (T3, ≥12 LNs examined, and negative surgical margins, n=241), a strong relationship between GCC LNR and each endpoint remained (TTR HR=4.34, 95% CI=2.07 – 9.13, p<0.001). Conclusions: Pts with GCC LNR high risk status have significantly poorer outcomes compared to pts with low risk status, particularly among those traditionally considered to be low risk. [Table: see text]

Immunoscore classifier:A gene based prognostic tool in early non-small cell lung cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21030-e21030
Author(s):  
Meiying Guo ◽  
Xindong Sun ◽  
Jinming Yu ◽  
Linlin Wang
Keyword(s):  
Prognostic Value ◽  
Immune Status ◽  
Staging System ◽  
Tnm Staging ◽  
Small Cell ◽  
Stage I ◽  
Small Cell Lung ◽  
Immune Genes ◽  
Tnm Staging System ◽  
Immune Group

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.

scholarly journals Genetic variants in histone modification regions are associated with the prognosis of lung adenocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hyo-Gyoung Kang ◽  
Yong Hoon Lee ◽  
Shin Yup Lee ◽  
Jin Eun Choi ◽  
Sook Kyung Do ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Histone Modification ◽  
Genetic Variants ◽  
Promoter Activity ◽  
Disease Free Survival ◽  
Clinical Samples ◽  
Integrated Analysis ◽  
Rna Seq ◽  
Curative Surgery ◽  
Validation Set

AbstractWe investigated the association between genetic variants in the histone modification regions and the prognosis of lung adenocarcinoma after curative surgery. Potentially functional SNPs were selected using integrated analysis of ChIP-seq and RNA-seq. The SNPs were analyzed in a discovery set (n = 166) and a validation set (n = 238). The associations of the SNPs with overall survival (OS) and disease-free survival (DFS) were analyzed. A total of 279 SNPs were selected for genotyping. Among these, CAPN1 rs17583C>T was significantly associated with better OS and DFS (P = 0.001 and P = 0.007, respectively), and LINC00959 rs4751162A>G was significantly associated with worse DFS (P = 0.008). Luciferase assays showed a significantly lower promoter activity of CAPN1 in the rs17583 T allele than C allele (P = 0.008), and consistently the CT + TT genotypes had significantly lower CAPN1 expression than CC genotype (P = 0.01) in clinical samples. The rs4751162 G allele had higher promoter activity of GLRX3 than A allele (P = 0.05). The motif analyses and ChIP-qPCR confirmed that the variants are located in the active promoter/enhancer regions where transcription factor binding occurs. This study showed that genetic variants in the histone modification regions could predict the prognosis of lung adenocarcinoma after surgery.

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