scholarly journals The Clinical And Prognostic Value of NLR, PDW, And PNI In Advanced Non-Small-Cell Lung Cancer Treated With Platinum-Based Chemotherapy

2021 ◽  
Author(s):  
Jian Wang ◽  
Yiqian Liu ◽  
Guoqing Wang ◽  
Mengting Shao ◽  
Xiaoguang Mi ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Advanced Nsclc ◽  
Small Cell ◽  
Tumor Type ◽  
Tumor Differentiation ◽  
Small Cell Lung ◽  
Training Set ◽  
Test Set ◽  
Platinum Based Chemotherapy ◽  
Nsclc Patients

Abstract Objective: The purpose of this study was to investigate the relationship between the neutrophil-lymphocyte ratio (NLR), platelet distribution width (PDW) and prognostic nutrient index (PNI), and the prognosis of patients with advanced non-small-cell lung cancer (NSCLC) treated with platinum-based chemotherapy.Methods: A total of 428 patients with advanced NSCLC treated with platinum-based chemotherapy between January 2015 and June 2019 were retrospectively analyzed. The patients were randomly divided into training set (n=300) and test set (n=128) in a ratio of 7:3, respectively. Clinical data and peripheral blood test results were collected within one week prior to the initiation of treatment to calculate PDW, NLR, and PNI. Receiver operating characteristic (ROC) curves were used to determine the optimal cut-off values of PLR, PDW, and PNI. Kaplan-Meier method and Cox regression analysis were used to evaluate the prognostic factors of advanced NSCLC treated with platinum-based chemotherapy. A Nomogram model was established for predicting the prognosis in advanced NSCLC treated with platinum-based chemotherapy. The test set was used for external validation of the prognostic model.Results: There was no significant difference in the proportion of clinical features between the training set and the test set (P＞0.05). The ROC curve analysis determined the optimal cut-off values of PLR, PDW, and PNI to be 3.07, 16.81, and 52.025, respectively. Univariate and multivariate analyses indicated that tumor type (P=0.038), tumor differentiation (P=0.014), NLR (P=0.001), PDW (P<0.001), and PNI (P=0.009) were independent prognostic factors for PFS in patients with advanced NSCLC patients treated with platinum-based chemotherapy. Tumor type (P=0.002), tumor differentiation (P=0.038), EGFR status (P=0.002), NLR (P=0.010), PDW (P=0.001), and PNI (P=0.002) were independent prognostic factors for overall survival (OS) in advanced NSCLC patients treated with platinum-based chemotherapy. The established nomogram was validated internally and externally. The results showed a good agreement between the predicted value and the actual value of the calibration curve.Conclusion: NLR, PDW, PNI, tumor type, and tumor differentiation are independent prognostic factors for PFS in advanced NSCLC patients treated with platinum-based chemotherapy. NLR, PDW, PNI, tumor type, tumor differentiation, and EGFR status are independent prognostic factors for OS in advanced NSCLC patients treated with platinum-based chemotherapy. The established model has an application value in predicting the prognosis of advanced NSCLC patients treated with platinum-based chemotherapy.

Radiotherapy with continued EGFR-TKIs for oligoprogressive disease in non-small cell lung cancer: A real-world study.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20640-e20640
Author(s):  
Fang Wu ◽  
Sixuan Wu ◽  
Chunhong Hu
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Advanced Nsclc ◽  
Cox Regression ◽  
Small Cell ◽  
Small Cell Lung ◽  
T790m Mutation ◽  
Nsclc Patients ◽  
Egfr Mutated ◽  
Egfr Tkis

e20640 Background: Almost all epidermal growth factor recept (EGFR)-mutated non-small-cell lung cancer (NSCLC) will develop tyrosine kinase inhibitors (TKIs) resistance. The treatment of oligoprogression is debatable after TKIs resistance. We conducted a real-world retrospective study to evaluate the efficacy of radiotherapy and continuation of TKIs in advanced NSCLC patients with oligoprogressive disease after EGFR-TKIs. Methods: From January 2011 to January 2019, we retrospectively analyzed EGFR-mutated NSCLC patients with oligoprogression in our institution. 33 patients were treated by radiotherapy and continuation of TKIs after oligoprogression. We used Kaplan-Meier and Cox regression model to analyse the prognostic factors of median progression-free survival (PFS) and median overall survival (OS) from the time of oligoprogression. Variables we selected for analyses included gender, age, smoking status, performance status (PS) score, stage at initial diagnosis, initial resectable, radiotherapy dose, EGFR mutation type, number of metastasis, sites of radiation, T790M status and the time of oligometastasis to radiotherapy. Results: 33 patients develop resistance to EGFR-TKIs at a median time of 11.0 months. The mPFS and mOS were 6.5 (95%CI, 1.4-11.6) and 21.8 (95%CI, 14.8-28.8) months, respectively. T790M mutation was tested in nine patients, four of which were mutation negative and five were positive. The mPFS was 15.5 (95%CI, 7.4-23.6) months in T790M mutation positive patients and 6.0 (95%CI, 0-14.0) months in negative patients. The mPFS in patients who started radiotherapy within or beyond 1 month after oligometastasis was 10.8 months (95% CI, 4.9-16.7 months) and 5.3 months (95% CI, 2.4-8.2 months). Cox regression model showed no variables significantly correlated with PFS difference. Univariate analysis identified female patients have longer OS (P = 0.038). The results of Multivariate analysis indicated that there was no OS-related prognostic factors. Conclusions: Radiotherapy with continued TKIs is an efficacious treatment option in advanced NSCLC patients with oligoprogressive disease after EGFR-TKIs. T790M mutation is a common mutation in NSCLC patients with oligoprogression. Gender was prognostic factors for OS. Moreover, there was a better prognosis in patients with T790M mutation positive or radiotherapy within 1 month after oligometastasis. However, this was not statistically significant. Larger sample size studies are needed to validate these clinical results.

scholarly journals A Prediction Rule for Overall Survival in Non-Small-Cell Lung Cancer Patients with a Pathological Tumor Size Less Than 30 mm

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Wang-Yu Zhu ◽  
Ke-xin Fang ◽  
Jian-ying He ◽  
Ri Cui ◽  
Yong-Kui Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Tumor Size ◽  
Small Cell ◽  
Small Cell Lung ◽  
Training Set ◽  
Nsclc Patients

We sought to develop and validate a clinical nomogram model for predicting overall survival (OS) in non-small-cell lung cancer (NSCLC) patients with resected tumors that were 30 mm or smaller, using clinical data and molecular marker findings. We retrospectively analyzed 786 NSCLC patients with a pathological tumor size less than 30 mm who underwent surgery between 2007 and 2017 at our institution. We identified and integrated significant prognostic factors to build the nomogram model using the training set, which was subjected to the internal data validation. The prognostic performance was calibrated and evaluated by the concordance index (C-index) and risk group stratification. Multivariable analysis identified the pathological tumor size, lymph node metastasis, and Ki-67 expression as independent prognostic factors, which were entered into the nomogram model. The nomogram-predicted probabilities of OS at 1 year, 3 years, and 5 years posttreatment represented optimal concordance with the actual observations. Harrell’s C-index of the constructed nomogram with the training set was 0.856 (95% CI: 0.804-0.908), whereas TNM staging was 0.814 (95% CI: 0.742-0.886, P=5.280221e−13). Survival analysis demonstrated that NSCLC subgroups showed significant differences in the training and validation sets (P<0.001). A nomogram model was established for predicting survival in NSCLC patients with a pathological tumor size less than 30 mm, which would be further validated using demographic and clinicopathological data. In the future, this prognostic model may assist clinicians during treatment planning and clinical studies.

Diagnostic and prognostic significance of circulating endothelial cell in advanced non-small cell lung cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e18116-e18116
Author(s):  
Dongmei Yuan ◽  
Yanling Lv ◽  
Xingqun Ma ◽  
Hongbing Liu ◽  
Yi Shi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Advanced Nsclc ◽  
Objective Response ◽  
Prognostic Significance ◽  
Small Cell ◽  
Small Cell Lung ◽  
Platinum Based Chemotherapy ◽  
Nsclc Patients

e18116 Background: The aim of this study was to evaluate the diagnostic and prognostic value of circulating endothelial cells (CECs) during first-line therapy in patients with advanced non-small cell lung cancer (NSCLC). Methods: 102 newly diagnosed advanced NSCLC patients were enrolled in this study. The amount of CECs (CD45- CD31+ CD146+) was enumerated by flow cytometry at baseline and after two cycles of treatment. We correlated CEC counts and the reduction of CECs with objective response rate (ORR) and progression-free survival (PFS). Results: The CECs level was significantly higher in advanced NSCLC patients, ranging from 57 to 1300 cells/105 cells (n=102, mean±SD=299±221 cells/105 cells), than patients with benign lesions (n=35, 205±97 cells/105 cells), and healthy volunteers (n=34, 117±33 cells/105 cells). When the cut off value of CEC counts was 210 cells/105 cells, there was no significant association between CEC counts and OR/PFS of the enrolled patients. However, patients with CECs response after chemotherapy has more chances to achieve OR (P<0.001), and such patients showed longer PFS than those without CECs response (P = 0.041). In the multivariate analysis, the independent prognostic roles of performance status (HR: 3.245, 95% CI: 1.189-8.854), brain metastasis (HR: 3.673, 95% CI: 1.062-12.704), and CECs response (HR: 0.046, 95% CI: 0.188-0.984) were found. Conclusions: The CEC counts could be considered as the diagnostic biomarker for advanced NSCLC patients. And the reduction of CECs after treatment might be more ideal than the CEC counts as a predictive or prognostic factor in patients treated with platinum-based chemotherapy.

scholarly journals Feasibility and effectiveness of afatinib for poor performance status patients with EGFR-mutation-positive non-small-cell lung cancer: a retrospective cohort study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chiao-En Wu ◽  
Ching-Fu Chang ◽  
Chen-Yang Huang ◽  
Cheng-Ta Yang ◽  
Chih-Hsi Scott Kuo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Disease Control ◽  
Performance Status ◽  
Poor Performance ◽  
Small Cell ◽  
Poor Performance Status ◽  
Small Cell Lung ◽  
Nsclc Patients

Abstract Background Afatinib is one of the standard treatments for patients with epidermal growth factor receptor (EGFR)-mutated non-small-cell lung cancer (NSCLC). However, data on the use of afatinib in patients with poor performance status (PS ≥ 2) are limited. This study aimed to retrospectively review the clinical outcomes and safety of afatinib treatment in EGFR-mutation-positive (EGFRm+) NSCLC patients with PS ≥ 2. Methods The data for 62 patients who were treated at Linkou Chang Gung Memorial Hospital from January 2010 to August 2019 were retrospectively reviewed. Patients’ clinicopathological features were obtained, and univariate and multivariate analyses were performed to identify possible prognostic factors. Data on adverse events were collected to evaluate general tolerance for afatinib therapy. Results Until February 2020, the objective response rate, disease control rate, median progression-free survival (PFS), and overall survival (OS) were 58.1% (36/62), 69.4% (43/62), 8.8 months, and 12.9 months, respectively. The absence of liver metastasis (PFS: p = 0.044; OS: p = 0.061) and good disease control (p < 0.001 for PFS and OS) were independent favorable prognostic factors for PFS and OS. Bone metastasis (p = 0.036) and dose modification (reduction/interruption, p = 0.021) were predictors of disease control. Conclusion Afatinib demonstrated acceptable efficacy and safety in the current cohort. This study provided evidence to support the use of afatinib as a first-line treatment in EGFRm+ NSCLC patients with poor PS.

scholarly journals Development of nomogram based on immune-related gene FGFR4 for advanced non-small cell lung cancer patients with sensitivity to immune checkpoint inhibitors

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wang ◽  
Zhixuan Ren ◽  
Bentong Yu ◽  
Jian Tang
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Advanced Nsclc ◽  
Cancer Genomics ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

Abstract Introduction Immune checkpoint inhibitors (ICIs) have become a frontier in the field of clinical technology for advanced non-small cell lung cancer (NSCLC). Currently, the predictive biomarker of ICIs mainly including the expression of PD-L1, TMB, TIICs, MMR and MSI-H. However, there are no official biomarkers to guide the treatment of ICIs and to determine the prognosis. Therefore, it is essential to explore a systematic nomogram to predict the prognosis of ICIs treatment in NSCLC Methods In this work, we obtained gene expression and clinical data of NSCLC patients from the TCGA database. Immune-related genes (IRGs) were downloaded from the ImmPort database. The detailed clinical annotation and response data of 240 advanced NSCLC patients who received ICIs treatment were obtained from the cBioPortal for Cancer Genomics. Kaplan–Meier survival analysis was used to perform survival analyses, and selected clinical variables to develop a novel nomogram. The prognostic significance of FGFR4 was validated by another cohort in cBioPortal for Cancer Genomics. Results 3% of the NSCLC patients harbored FGFR4 mutations. The mutation of FGFR4 were confirmed to be associated with PD-L1, and TMB. Patients harbored FGFR4 mutations were found to have a better prolonged progression-free survival (PFS) to ICIs treatment (FGFR4: P = 0.0209). Here, we built and verified a novel nomogram to predict the prognosis of ICIs treatment for NSCLC patients. Conclusion Our results showed that FGFR4 could serve as novel biomarkers to predict the prognosis of ICIs treatment of advanced NSCLC. Our systematic prognostic nomogram showed a great potential to predict the prognosis of ICIs for advanced NSCLC patients.

Pemetrexed Versus Pemetrexed and Carboplatin As Second-Line Chemotherapy in Advanced Non–Small-Cell Lung Cancer: Results of the GOIRC 02-2006 Randomized Phase II Study and Pooled Analysis With the NVALT7 Trial

2012 ◽  
Vol 30 (36) ◽  
pp. 4501-4507 ◽  
Author(s):  
Andrea Ardizzoni ◽  
Marcello Tiseo ◽  
Luca Boni ◽  
Andrew D. Vincent ◽  
Rodolfo Passalacqua ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Advanced Nsclc ◽  
Pooled Analysis ◽  
Small Cell ◽  
Second Line ◽  
Small Cell Lung ◽  
Platinum Based Chemotherapy ◽  
The Impact

Purpose To compare efficacy of pemetrexed versus pemetrexed plus carboplatin in pretreated patients with advanced non–small-cell lung cancer (NSCLC). Patients and Methods Patients with advanced NSCLC, in progression during or after first-line platinum-based chemotherapy, were randomly assigned to receive pemetrexed (arm A) or pemetrexed plus carboplatin (arm B). Primary end point was progression-free survival (PFS). A preplanned pooled analysis of the results of this study with those of the NVALT7 study was carried out to assess the impact of carboplatin added to pemetrexed in terms of overall survival (OS). Results From July 2007 to October 2009, 239 patients (arm A, n = 120; arm B, n = 119) were enrolled. Median PFS was 3.6 months for arm A versus 3.5 months for arm B (hazard ratio [HR], 1.05; 95% CI, 0.81 to 1.36; P = .706). No statistically significant differences in response rate, OS, or toxicity were observed. A total of 479 patients were included in the pooled analysis. OS was not improved by the addition of carboplatin to pemetrexed (HR, 90; 95% CI, 0.74 to 1.10; P = .316; P heterogeneity = .495). In the subgroup analyses, the addition of carboplatin to pemetrexed in patients with squamous tumors led to a statistically significant improvement in OS from 5.4 to 9 months (adjusted HR, 0.58; 95% CI, 0.37 to 0.91; P interaction test = .039). Conclusion Second-line treatment of advanced NSCLC with pemetrexed plus carboplatin does not improve survival outcomes as compared with single-agent pemetrexed. The benefit observed with carboplatin addition in squamous tumors may warrant further investigation.

scholarly journals A Linear Discriminant Analysis Model Based on the Changes of 7 Proteins in Plasma Predicts Response to Anlotinib Therapy in Advanced Non-Small Cell Lung Cancer Patients

2022 ◽  
Vol 11 ◽  
Author(s):  
Fei Xu ◽  
Haiyan Xu ◽  
Zhiyi Wan ◽  
Guangjian Yang ◽  
Lu Yang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Discriminant Analysis ◽  
Advanced Nsclc ◽  
Predictive Marker ◽  
Small Cell ◽  
Small Cell Lung ◽  
Protein Biomarkers ◽  
Linear Discriminant ◽  
Model Based ◽  
Nsclc Patients

BackgroundAnlotinib is a multi-targeted tyrosine kinase inhibitor mainly targeting angiogenesis signaling. The predictive marker of anlotinib’s efficacy remains elusive. This study was designed to explore the predictive marker of anlotinib in non-small cell lung cancer (NSCLC).MethodsWe prospectively enrolled 52 advanced NSCLC patients who underwent at least one line of targeted therapy or chemotherapy between August 2018 and March 2020. Patients were divided into durable responders (DR) and non-durable responders (NDR) based on the median progression-free survival (PFS, 176 days). The Olink Immuno-Oncology panel (92 proteins) was used to explore the predictive protein biomarkers in plasma samples before treatment (baseline) and on the first treatment evaluation (paired).ResultsAt baseline, the response to anlotinib was not significantly associated with age, gender, smoke history, histology, oligo-metastases, EGFR mutations, and other clinical characteristics. The results of PFS-related protein biomarkers at baseline were all not satisfying. Then we assessed the changes of 92 proteins levels in plasma on the first treatment evaluation. We obtained a Linear discriminant analysis (LDA) model based on 7 proteins, with an accuracy of 100% in the original data and an accuracy of 89.2% in cross validation. The 7 proteins were CD70, MIC-A/B, LAG3, CAIX, PDCD1, MMP12, and PD-L2. Multivariate Cox analysis further showed that the changes of CD70 (HR 25.48; 95% CI, 4.90–132.41, P=0.000) and MIC-A/B (HR 15.04; 95% CI, 3.81–59.36, P=0.000) in plasma were the most significant prognostic factors for PFS.ConclusionWe reported herein a LDA model based on the changes of 7 proteins levels in plasma before and after treatment, which could predict anlotinib responders among advanced NSCLC patients with an accuracy of 100%. Further studies are warranted to verify the prediction performance of the LDA model.

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