Prognostic and predictive blood-based biomarkers of overall survival (OS) in patients (pts) with advanced colorectal cancer (CRC) treated with cetuximab (C): Results from CALGB 80203 (Alliance).

2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 448-448
Author(s):  
Ace J. Hatch ◽  
Herbert Pang ◽  
Mark D. Starr ◽  
John C. Brady ◽  
Jingquan Jia ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Cox Model ◽  
Locally Advanced ◽  
Predictive Biomarkers ◽  
Predictive Biomarker ◽  
Cox Proportional Hazards ◽  
Plasma Samples ◽  
Cox Proportional Hazards Models ◽  
Edta Plasma ◽  
Combination Regimens

448 Background: Previously, we identified potential predictive biomarkers of C sensitivity related to EGFR signaling from archived tumor tissue from CALGB 80203. Due to the fact that blood-based markers are more convenient and can be monitored over the course of treatment, baseline plasma samples were also collected and five (EGF, HB-EGF, sEGFR, sHER2, sHER3) of the 14 markers previously analyzed in archived tumor were evaluated in plasma. Methods: CALGB 80203 was a randomized (1:1) phase II trial of 238 pts with locally advanced or metastatic CRC comparing FOLFOX or FOLFIRI (chemo) vs. chemo combined with C. Baseline EDTA plasma samples from 154 pts were analyzed for the 5 candidate markers. The levels of each analyte were correlated with the primary endpoint of OS using univariate Cox proportional hazards models. Potential predictive markers were identified using a treatment by marker interaction term in the Cox model and the markers with significant p-values are reported. Hazard ratios between treatment groups are reported for low or high marker levels dichotomized at the median. Results: Univariate analyses indicated that plasma levels of EGF and sHER3 were negative prognostic markers (p<0.05) that correlated with OS for the overall pt population. Across all pts (KRAS mutant and wild-type), sHER3 was identified as a potential predictive biomarker for C. Pts with higher sHER3 levels had significant OS benefit from C treatment (interaction p=0.03; HR=0.57, 95% CI 0.36-0.92). Low levels of EGF predicted for OS benefit from C in KRAS WT tumors (interaction p<0.01; HR=0.39, 95% CI 0.18-0.87) and lack of benefit in the KRAS mutant pts (interaction p=0.03; HR=3.03, 95% CI 1.13-8.16), but were not predictive for C across all pts combined. Conclusions: Blood-based profiling of EGFR axis members identified sHER3 and EGF as candidate predictors for benefit from C. These data are consistent with our findings using mRNA expression from archived tumor samples and suggest a role for receptor shedding in HER3 biology. If further validated, these markers may help guide the development and use of anti-EGFR therapies and combination regimens.

Application of a time-varying covariate model to the analysis of CA 19–9 as a biomarker for time-to-progression (TTP) and overall survival (OS) in patients with advanced pancreatic cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e15545-e15545
Author(s):  
S. Boeck ◽  
R. P. Laubender ◽  
M. Haas ◽  
C. Klose ◽  
F. Kullmann ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Proportional Hazards ◽  
Univariate Analysis ◽  
Locally Advanced ◽  
Predictive Biomarker ◽  
Cox Proportional Hazards ◽  
Time Varying ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Pre Treatment

e15545 Background: It remains unclear whether baseline CA 19–9 or CA 19–9 kinetics during chemotherapy may serve as predictive biomarker in patients (pts) with pancreatic cancer (PC). Methods: Main inclusion criteria for this retrospective multicenter analysis: histologically confirmed diagnosis of PC, treatment with first-line therapy, pre-treatment CA 19–9 level of > 5.2 U/ml. Analysis of CA 19–9 was exclusively performed using the Elecsys® assay (Roche Diagnostics). The effect of the pre- treatment CA 19–9 level on TTP and OS was modelled by Cox proportional hazards regression. The effect of CA 19–9 kinetics was also modelled by Cox proportional hazards regression where CA 19–9 was treated as time-varying covariate. When modelling CA 19–9 we developed univariate and multivariate Cox models where we selected additional predictors (e.g. performance status) using backward elimination performing likelihood ratio tests on a significance level of 0.05. Results: One-hundred and fifteen pts from 5 German centers were included. Median age was 63 years, 12% had locally advanced and 88% metastatic disease; 73 % of the pts were treated within prospective clinical trials. Median baseline CA 19–9 was 1059 U/ml (range 9.5–100000), median pre- treatment bilirubin 0.6 mg/dl. The median TTP in the study population was 4.4 months, median OS 9.4 months. Univariate analysis showed that the pre-treatment CA 19–9 level (as continuous variable, log [CA 19–9]) was significantly associated with TTP (HR 1.24, 95% CI 1.12–1.37, p<0.001) and OS (HR 1.16, 95% CI 1.06–1.28, p=0.002). These associations remained significant also within a multivariate analysis. For CA 19–9 kinetics during chemotherapy, data from 69 pts (TTP) and 84 pts (OS) were available, respectively; log [CA 19–9] kinetics were found to be a significant predictor for TTP in univariate (HR 1.44, 95% CI 1.25–1.67, p<0.001) and multivariate (HR 1.39, 95% CI 1.19–1.62, p<0.001) analyses, and also for OS (univariate: HR 1.34, 95% CI 1.20–1.49, p<0.001; multivariate: HR 1.39, 95% CI 1.23–1.57, p<0.001). Conclusions: According to this new statistical model, CA 19–9 may serve as a useful predictive biomarker in advanced PC. [Table: see text]

scholarly journals Effect of altitude on mortality of end-stage renal disease patients on hemodialysis in Peru

2020 ◽  
Author(s):  
Katia Bravo-Jaimes ◽  
Viky Y Loescher ◽  
Carlos Canelo-Aybar ◽  
Jose Rojas-Camayo ◽  
Christian R Mejia ◽  
...  
Keyword(s):  
High Altitude ◽  
Sea Level ◽  
Proportional Hazards ◽  
Cox Model ◽  
Cox Proportional Hazards ◽  
Historical Cohort ◽  
Cox Proportional Hazards Models ◽  
Low Altitude ◽  
Stage Renal Disease ◽  
End Stage

Abstract Background In Latin America, the prevalence of end-stage kidney disease (ESKD) has risen tremendously during the last decade. Previous studies have suggested that receiving dialysis at high altitude confers mortality benefits; however, this effect has not been demonstrated at &gt;2000 m above sea level (masl) or in developing countries. Methods This historical cohort study analyzed medical records from six Peruvian hemodialysis (HD) centers located at altitudes ranging from 44 to 3827 masl. Adult ESKD patients who started maintenance HD between 2000 and 2010 were included. Patients were classified into two strata based on the elevation above sea level of their city of residence: low altitude (&lt;2000 masl) and high altitude (≥2000 masl). Death from any cause was collected from national registries and Cox proportional hazards models were built. Results A total of 720 patients were enrolled and 163 (22.6%) resided at high altitude. The low-altitude group was significantly younger, more likely to have diabetes or glomerulonephritis as the cause of ESKD and higher hemoglobin. The all-cause mortality rate was 84.3 per 1000 person-years. In the unadjusted Cox model, no mortality difference was found between the high- and low-altitude groups {hazard ratio [HR] 1.20 [95% confidence interval (CI) 0.89–1.62]}. After multivariable adjustment, receiving HD at high altitude was not significantly associated with higher mortality, but those with diabetes as the cause of ESKD had significantly higher mortality [HR 2.50 (95% CI 1.36–4.59)]. Conclusions In Peru, patients receiving HD at high altitudes do not have mortality benefits.

Prognostic factors of overall (OS) and relapse-free survival (RFS) for patients with acute myeloid leukemia (AML) in remission after intensive chemotherapy (IC): Multivariate analyses from the QUAZAR AML-001 trial of oral azacitidine (Oral-AZA).

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 7014-7014
Author(s):  
Gail J. Roboz ◽  
Andrew H. Wei ◽  
Farhad Ravandi ◽  
Christopher Pocock ◽  
Pau Montesinos ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Cox Model ◽  
Geographic Region ◽  
Cox Proportional Hazards ◽  
Significant Independent Predictor ◽  
Risk Of Death ◽  
Cox Proportional Hazards Models ◽  
First Remission ◽  
Ecog Ps ◽  
To Receive

7014 Background: Demographic and disease factors influence outcomes for patients (pts) with AML. In the phase 3 QUAZAR AML-001 trial, Oral-AZA significantly prolonged OS and RFS vs. placebo (PBO) for pts with AML in first remission after IC (Wei, NEJM, 2020). Univariate analyses showed OS and RFS benefits with Oral-AZA vs. PBO across pt subgroups defined by baseline (BL) characteristics. MV analyses were performed to identify BL characteristics independently predictive of OS/RFS in QUAZAR AML-001, and to assess Tx effects of Oral-AZA vs. PBO on survival when adjusted for BL factors. Methods: Pts were aged ≥55 yrs with AML in complete remission (CR) or CR with incomplete count recovery (CRi) after induction ± consolidation. Within 4 months of CR/CRi, pts were randomized 1:1 to receive Oral-AZA 300 mg or PBO for 14d/28d cycle. Cox proportional hazards models were used to estimate Tx effects of Oral-AZA vs. PBO on OS and RFS, adjusting for BL age, sex, ECOG PS score, cytogenetic risk at diagnosis (Dx), prior MDS, geographic region, CR/CRi after induction (per investigator) and at BL (per sponsor), MRD status, receipt of consolidation, number of consolidation cycles, platelet count, and ANC. In a stepwise procedure, randomized Tx and BL variables were selected incrementally into a Cox model if P ≤ 0.25. After each addition, the contribution of the covariate adjusted for other covariates in the model was evaluated and retained in the model if P ≤ 0.15. Results : Oral-AZA Tx remained a significant independent predictor of improved OS (HR 0.70) and RFS (HR 0.57) vs. PBO after controlling for BL characteristics (Table). MRD status, cytogenetic risk, and pt age were each also independently predictive of OS and RFS. Response after induction (CR vs. CRi) and BL ANC were predictive of OS but not RFS, whereas prior MDS, CR/CRi at BL, and number of consolidation cycles were only predictive of RFS. Conclusions: Tx with Oral-AZA reduced the risk of death by 30% and risk of relapse by 43% vs. PBO independent of BL characteristics. Cytogenetic risk at Dx, MRD status, and pt age also independently predicted survival outcomes. Clinical trial information: NCT01757535. [Table: see text]

Tumor mutational burden (TMB) and BCG responsiveness in high-risk non-muscle invasive bladder cancer (NMIBC).

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 442-442 ◽  
Author(s):  
Diogo Assed Bastos ◽  
Mariana Lima ◽  
Romulo Loss Mattedi ◽  
Filipe Ferreira dos Santos ◽  
Vanessa Buzatto ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
High Risk ◽  
Proportional Hazards ◽  
Significant Proportion ◽  
Unmet Need ◽  
Predictive Biomarkers ◽  
Predictive Biomarker ◽  
Cox Proportional Hazards ◽  
Bcg Therapy ◽  
Intravesical Bcg

442 Background: Despite optimal management of NMIBC with transurethral resection of bladder tumor (TURBT) and intravesical BCG therapy, a significant proportion of patients (pts) will eventually present with disease recurrence or progression. To date, there is no validated predictive biomarker to guide patient selection for the most appropriate therapy in this setting. Methods: We retrospectively identified pts with high-risk NMIBC treated with TURBT, repeat TUR and intravesical BCG (≥ 6 instillations) from 2009 to 2016. Patients were classified as BCG-responsive (BCG-R) and BCG-unresponsive (BCG-UR) based on the International Bladder Cancer Group criteria. Whole exome sequencing was performed using archival FFPE tumor tissue from pre-BCG TURBT samples. Association of genomic variables and outcomes was evaluated by Cox proportional hazards survival analysis and likelihood ratio tests. Results: Thirty-five patients were included (BCG-R = 17, BCG-UR = 18). Median follow-up was 46 months for BCG-R and 52 months for BCG-UR pts. The majority of pts was male (91.4%), former smoker (60%), and presented with high-grade urothelial carcinoma (85.7%) and/or T1 staging (71.4%). Median time for relapse and progression was 10.5 and 19 months, respectively, in the BCG-UR group. In this cohort, TMB was significantly different in BCG-R and BCG-UR groups, with a median TMB of 5.53 +- 4.60 and 3.17 +- 1.82 mutations/Mb, respectively ( P= 0.045). TMB was also associated with relapse-free survival (RFS), with a median RFS of 38 and 15 months in high versus low TMB groups, respectively ( P= 0.0092). Intratumoral genetic heterogeneity assessed by mutant-allele tumor heterogeneity (MATH) was not statistically different between the groups, with a median MATH score of 31.8 and 21.9 for BCG-R and BCG-UR ( P= 0.14), respectively. On multivariate analysis, age and TMB were independently associated with RFS. Conclusions: In this exploratory biomarker study, high TMB was associated with benefit from immunotherapy with BCG for NMIBC. The identification of predictive biomarkers in this setting is an important unmet need and integrative analysis of TMB with other potential predictive biomarkers should be assessed in larger datasets.

Exposure–efficacy relationship of trastuzumab emtansine (T-DM1) in EMILIA, a phase III study of T-DM1 versus capecitabine (X) and lapatinib (L) in HER2-positive locally advanced or metastatic breast cancer (MBC).

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 644-644 ◽  
Author(s):  
Bei Wang ◽  
Jin Jin ◽  
Russell Wada ◽  
Liang Fang ◽  
Dan Lu ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Objective Response ◽  
Locally Advanced ◽  
Metastatic Breast ◽  
Cox Proportional Hazards ◽  
Phase Iii ◽  
Antibody Drug Conjugate ◽  
Her2 Positive ◽  
Cox Proportional Hazards Models ◽  
Phase Iii Study

644 Background: T-DM1 is an antibody–drug conjugate composed of trastuzumab (T), a stable thioether linker, and the potent cytotoxic agent DM1. In the phase III study EMILIA, median PFS and OS were significantly prolonged with T-DM1 vs XL in patients (pts) with HER2-positive locally advanced or MBC previously treated with T and a taxane; (PFS hazard ratio [HR]=0.65, p<0.001; OS HR=0.68, p<0.001). We report the effects of T-DM1 exposure on efficacy outcomes in EMILIA. Methods: In EMILIA, pts were randomized 1:1 to receive T-DM1 3.6 mg/kg q3w (n=495) or XL (n=496) in 21-day cycles. Pharmacokinetic (PK) samples were from cycle 1 (n=350, T-DM1 arm only). Exposure variables were T-DM1 AUC, T-DM1 Cmin, total T AUC, and DM1 Cmaxcalculated by noncompartmental analysis. A logistic regression model was used to evaluate the relationship between T-DM1 exposure and objective response rates (ORR) in the T-DM1 arm. Multivariate Cox proportional hazards models were used to calculate HRs of OS and PFS for each T-DM1 exposure quartile vs all randomized pts in the XL arm, adjusting for baseline covariates. Results: For ORR, mean T-DM1 AUC was 536 day*ug/mL for responders and 502 day*ug/mL for non-responders (P=0.09); mean DM1 Cmax was 4.55 ng/mL and 4.64 ng/mL, respectively (P=0.64). OS and PFS HRs (and 95% CIs) of T-DM1 vs XL stratified by T-DM1 exposure quartiles are shown (Table). Conclusions: In EMILIA, no clear trends were observed between T-DM1 exposure and PFS, OS, or ORR, following administration of T-DM1 3.6 mg/kg q3w. However, there was a suggestion of improved OS HR by stratified T-DM1 Cmin quartiles, albeit with mostly overlapping 95% CIs. Ongoing T-DM1 clinical trials will further evaluate this potential relationship. [Table: see text]

Biomarker analysis from a phase III trial (GOLD) of dovitinib (Dov) versus sorafenib (Sor) in patients with metastatic renal cell carcinoma after one prior VEGF pathway–targeted therapy and one prior mTOR inhibitor therapy.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 473-473 ◽  
Author(s):  
Bernard J. Escudier ◽  
Camillo Porta ◽  
Matthew Squires ◽  
Cezary Szczylik ◽  
Christian K. Kollmannsberger ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Progression Free Survival ◽  
Cox Proportional Hazards ◽  
Phase Iii ◽  
Plasma Samples ◽  
Plasma Biomarkers ◽  
Kaplan Meier ◽  
Cox Proportional Hazards Models ◽  
Biomarker Analysis ◽  
Line Setting

473 Background: In the GOLD trial, Dov did not improve progression-free survival (PFS) or overall survival (OS) over Sor. An exploratory objective of the study was to investigate plasma and tumor biomarkers to predict outcome. Methods: Plasma samples were obtained longitudinally throughout the study, and biomarkers were assessed by immunoassay. Primary archival tumor samples were assessed by immunohistochemistry. Log-rank tests, stratified by baseline MSKCC risk group, for difference in Kaplan-Meier curves between biomarker category (low/high based on </≥ median baseline values) within treatment arm were performed. Hazard ratios (HRs) were estimated from Cox proportional hazards models. Results: Plasma samples were available from 561 patients (Dov, n = 281; Sor, n = 280), and tumor samples were available from 341 patients (Dov, n = 181; Sor, n = 160). Baseline plasma biomarker levels were not predictive of Dov or Sor PFS or OS. However, strong prognostic effects, particularly for OS, were observed. High baseline cKIT and low baseline FGF2, HGF, PlGF, sVEGFR1, VEGFA, and VEGFD were associated with better OS for both Dov and Sor (Table). Changes from baseline in a number of plasma biomarkers were observed following treatment with Dov and Sor, consistent with VEGFR/FGFR inhibitory effects. Prognostic effects were also observed for low FGFR2 (PFS) and low FGF2 (OS) expression in archival tumors. Conclusions: Baseline plasma biomarkers are prognostic but not predictive in the third-line setting. Clinical trial information: NCT01223027. [Table: see text]

Safety of Ovarian Preservation in Premenopausal Women With Endometrial Cancer

2009 ◽  
Vol 27 (8) ◽  
pp. 1214-1219 ◽  
Author(s):  
Jason D. Wright ◽  
Adam M. Buck ◽  
Monjri Shah ◽  
William M. Burke ◽  
Peter B. Schiff ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Proportional Hazards ◽  
Early Stage ◽  
Cox Model ◽  
Premenopausal Women ◽  
Tumor Grade ◽  
Cox Proportional Hazards ◽  
Eastern United States ◽  
Ovarian Preservation ◽  
Cox Proportional Hazards Models

Purpose Oophorectomy is commonly performed in premenopausal women with endometrial cancer who undergo hysterectomy. The benefits of oophorectomy in this setting are unknown, and the procedure subjects women to the long-term sequelae of estrogen deprivation. We examined the safety of ovarian preservation in young women with endometrial cancer who underwent hysterectomy. Patients and Methods Women ≤ 45 years of age with stage I endometrial cancer recorded from 1988 to 2004 in the Surveillance, Epidemiology, and End Results Database were examined. We developed Cox proportional hazards models and Kaplan-Meier curves to compare women who underwent oophorectomy with those who had ovarian preservation. Results A total of 3,269 women, including 402 patients (12%) who had ovarian preservation, were identified. Younger age (P < .0001), later year of diagnosis (P = .04), residence in the eastern United States (P = .02), and low tumor grade (P < .0001) were associated with ovarian preservation. In a multivariate Cox model, ovarian preservation had no effect on either cancer-specific (hazard ratio [HR] = 0.58; 95% CI, 0.14 to 2.44) or overall (HR = 0.68; 95% CI, 0.34 to 1.35) survival. The findings were unchanged when women who received pelvic radiotherapy were excluded. Conclusion Ovarian preservation in premenopausal women with early-stage endometrial cancer may be safe and not associated with an increase in cancer-related mortality.

scholarly journals A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems

JAMIA Open ◽  
2020 ◽  
Author(s):  
Spiros Denaxas ◽  
Anoop D Shah ◽  
Bilal A Mateen ◽  
Valerie Kuan ◽  
Jennifer K Quint ◽  
...  
Keyword(s):  
Primary Care ◽  
Proportional Hazards ◽  
Biomarker Discovery ◽  
Data Extraction ◽  
Cox Proportional Hazards ◽  
Research Quality ◽  
Uk Biobank ◽  
Expert Review ◽  
Cox Proportional Hazards Models ◽  
The Uk

Abstract Objectives The UK Biobank (UKB) is making primary care electronic health records (EHRs) for 500 000 participants available for COVID-19-related research. Data are extracted from four sources, recorded using five clinical terminologies and stored in different schemas. The aims of our research were to: (a) develop a semi-supervised approach for bootstrapping EHR phenotyping algorithms in UKB EHR, and (b) to evaluate our approach by implementing and evaluating phenotypes for 31 common biomarkers. Materials and Methods We describe an algorithmic approach to phenotyping biomarkers in primary care EHR involving (a) bootstrapping definitions using existing phenotypes, (b) excluding generic, rare, or semantically distant terms, (c) forward-mapping terminology terms, (d) expert review, and (e) data extraction. We evaluated the phenotypes by assessing the ability to reproduce known epidemiological associations with all-cause mortality using Cox proportional hazards models. Results We created and evaluated phenotyping algorithms for 31 biomarkers many of which are directly related to COVID-19 complications, for example diabetes, cardiovascular disease, respiratory disease. Our algorithm identified 1651 Read v2 and Clinical Terms Version 3 terms and automatically excluded 1228 terms. Clinical review excluded 103 terms and included 44 terms, resulting in 364 terms for data extraction (sensitivity 0.89, specificity 0.92). We extracted 38 190 682 events and identified 220 978 participants with at least one biomarker measured. Discussion and conclusion Bootstrapping phenotyping algorithms from similar EHR can potentially address pre-existing methodological concerns that undermine the outputs of biomarker discovery pipelines and provide research-quality phenotyping algorithms.

scholarly journals Changes in Metabolic Syndrome Status and Breast Cancer Risk: A Nationwide Cohort Study

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1177
Author(s):  
In Young Choi ◽  
Sohyun Chun ◽  
Dong Wook Shin ◽  
Kyungdo Han ◽  
Keun Hye Jeon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metabolic Syndrome ◽  
Proportional Hazards ◽  
Screening Program ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Models ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Health Screening Program ◽  
Design And Methods

Objective: To our knowledge, no studies have yet looked at how the risk of developing breast cancer (BC) varies with changes in metabolic syndrome (MetS) status. This study aimed to investigate the association between changes in MetS and subsequent BC occurrence. Research Design and Methods: We enrolled 930,055 postmenopausal women aged 40–74 years who participated in a biennial National Health Screening Program in 2009–2010 and 2011–2012. Participants were categorized into four groups according to change in MetS status during the two-year interval screening: sustained non-MetS, transition to MetS, transition to non-MetS, and sustained MetS. We calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for BC incidence using the Cox proportional hazards models. Results: At baseline, MetS was associated with a significantly increased risk of BC (aHR 1.11, 95% CI 1.06–1.17) and so were all of its components. The risk of BC increased as the number of the components increased (aHR 1.46, 95% CI 1.26–1.61 for women with all five components). Compared to the sustained non-MetS group, the aHR (95% CI) for BC was 1.11 (1.04–1.19) in the transition to MetS group, 1.05 (0.96–1.14) in the transition to non-MetS group, and 1.18 (1.12–1.25) in the sustained MetS group. Conclusions: Significantly increased BC risk was observed in the sustained MetS and transition to MetS groups. These findings are clinically meaningful in that efforts to recover from MetS may lead to reduced risk of BC.

scholarly journals Pre-diagnosis neutrophil-to-lymphocyte ratio and mortality in individuals who develop lung cancer

2021 ◽  
Author(s):  
Laurie Grieshober ◽  
Stefan Graw ◽  
Matt J. Barnett ◽  
Gary E. Goodman ◽  
Chu Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Proportional Hazards ◽  
Smoking Status ◽  
Cox Proportional Hazards ◽  
Neutrophil To Lymphocyte Ratio ◽  
Blood Draw ◽  
Lymphocyte Ratio ◽  
Cox Proportional Hazards Models ◽  
Inflammatory Profile ◽  
Heavy Smokers

Abstract Purpose The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been reported to be associated with survival after chronic disease diagnoses, including lung cancer. We hypothesized that the inflammatory profile reflected by pre-diagnosis NLR, rather than the well-studied pre-treatment NLR at diagnosis, may be associated with increased mortality after lung cancer is diagnosed in high-risk heavy smokers. Methods We examined associations between pre-diagnosis methylation-derived NLR (mdNLR) and lung cancer-specific and all-cause mortality in 279 non-small lung cancer (NSCLC) and 81 small cell lung cancer (SCLC) cases from the β-Carotene and Retinol Efficacy Trial (CARET). Cox proportional hazards models were adjusted for age, sex, smoking status, pack years, and time between blood draw and diagnosis, and stratified by stage of disease. Models were run separately by histotype. Results Among SCLC cases, those with pre-diagnosis mdNLR in the highest quartile had 2.5-fold increased mortality compared to those in the lowest quartile. For each unit increase in pre-diagnosis mdNLR, we observed 22–23% increased mortality (SCLC-specific hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.02, 1.48; all-cause HR = 1.22, 95% CI 1.01, 1.46). SCLC associations were strongest for current smokers at blood draw (Interaction Ps = 0.03). Increasing mdNLR was not associated with mortality among NSCLC overall, nor within adenocarcinoma (N = 148) or squamous cell carcinoma (N = 115) case groups. Conclusion Our findings suggest that increased mdNLR, representing a systemic inflammatory profile on average 4.5 years before a SCLC diagnosis, may be associated with mortality in heavy smokers who go on to develop SCLC but not NSCLC.

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