Dataset Information

Prognostic value of the DNA integrity index in patients with malignant lung tumors.

ABSTRACT: Lung cancer survival remains poor in the western world due to late presentation in most cases, leading to difficulty of treatment in these advanced and metastatic patients. Therefore, the development of a robust biomarker for prognosis and to monitor treatment response and relapse would be of great benefit. The use of Alu repeats and DNA Integrity Index has been shown to hold both diagnostic and prognostic value, and as it is obtained from the plasma of patients, it can serve as a non-invasive tool for routine monitoring. This study evaluates the efficiency of this technique in malignant lung cancer patients.Plasma samples were collected from 48 patients, consisting of 29 lung cancer patients and 19 non-cancer controls. Alu repeat ratio and confounders were measured.Observations showed a higher Alu repeat ratio amongst the cancer group compared to controls (p=0.035), mean Alu ratio 0.38 (range 0.01-0.93) and 0.22 (0.007-0.44) respectively, ROC curve analysis AUC 0.61 (p=0.22). Analysis by staging was more promising, whereby a higher DNA Integrity Index was seen in advanced cases compared to both early stage and controls, p<0.0001; AUC: 0.92 (P=0.0002) and p=0.0006, AUC - 0.88 (p=0.0007) respectively, however no significant difference was observed in the early stage compared to controls. Short term survival data also showed a DNA Integrity Index of >0.5 to be associated with poorer overall survival p=0.03.The results of this study show a potential use of Alu repeats ratios for prognostic purposes in the advanced setting for lung cancer patients.

SUBMITTER: Chudasama DY

PROVIDER: S-EPMC5940399 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Prognostic value of the DNA integrity index in patients with malignant lung tumors.

Chudasama Dimple Y DY Aladag Zeynep Z Felicien Mayla I MI Hall Marcia M Beeson Julie J Asadi Nizar N Gidron Yori Y Karteris Emmanouil E Anikin Vladimir B VB

Oncotarget 20180420 30

<h4>Introduction</h4>Lung cancer survival remains poor in the western world due to late presentation in most cases, leading to difficulty of treatment in these advanced and metastatic patients. Therefore, the development of a robust biomarker for prognosis and to monitor treatment response and relapse would be of great benefit. The use of Alu repeats and DNA Integrity Index has been shown to hold both diagnostic and prognostic value, and as it is obtained from the plasma of patients, it can serv ...[more]

PMID: 29765538

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Project description:ImportancePrevious studies have suggested the importance of the baseline derived neutrophil to lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH) level as prognostic markers. The lung immune prognostic index (LIPI) was shown to be associated with progression-free survival (PFS) and overall survival (OS) among patients with metastatic non-small cell lung cancer (mNSCLC) treated with immune checkpoint inhibitors (ICIs) but not cytotoxic chemotherapy (CCT).ObjectiveTo determine whether the LIPI is associated with long-term outcomes in pooled analyses of clinical studies of ICI and targeted therapy (TT) for patients with mNSCLC.Design, setting, and participantsAn exploratory pooled analysis was performed of the LIPI on data from 11 randomized clinical multinational trials evaluating ICIs and TT submitted to the US Food and Drug Administration between January 1, 2013, and December 31, 2017, for 4914 patients with mNSCLC. Lung immune prognostic index scores were calculated based on the dNLR and the LDH level per previous publications to generate good, intermediate, and poor composite scores. Multivariable Cox proportional PFS and OS hazard ratios were generated for the dNLR, the LDH level, age, smoking status, histologic characteristics, and Eastern Cooperative Oncology Group performance score.Main outcomes and measuresOverall survival and PFS and their association with good, intermediate, or poor prognostic LIPI scores.ResultsEleven mNSCLC randomized trials were analyzed, including 3987 patients with available data. In 5 ICI trials comprising 2440 patients, 1368 patients received ICIs and 1072 patients received CCT. In 6 TT trials comprising 1547 patients, 1110 patients received TT and 437 patients received CCT. A good LIPI score was associated with better OS among patients receiving ICIs (hazard ratio, 0.34; 95% CI, 0.28-0.42), TT (hazard ratio, 0.28; 95% CI, 0.21-0.37), and CCT (hazard ratio, 0.49; 95% CI, 0.40-0.60 in ICI trials; hazard ratio, 0.41; 95% CI, 0.27-0.61 in TT trials) than those with poor LIPI scores. Similar findings were observed in terms of PFS (ICIs: hazard ratio, 0.59; 95% CI, 0.48-0.72; TT: hazard ratio, 0.46; 95% CI, 0.37-0.57; and CCT: hazard ratio, 0.56; 95% CI, 0.45-0.68 in ICI trials; hazard ratio, 0.51; 95% CI, 0.38-0.69 in TT trials).Conclusions and relevanceThe baseline LDH level and dNLR are important prognostic biomarkers irrespective of treatment modality for patients with mNSCLC. As further prospective clinical trial information is collected, the role of the LIPI score can be better defined.

Project description:Purpose The advanced lung cancer inflammation index (ALI) is a novel inflammatory and nutritional index that exerts prognostic value in various types of cancer. A previous study demonstrated that ALI at discharge could predict the prognosis in patients with acute decompensated heart failure (ADHF). However, the long-term prognostic value of ALI on admission in elderly heart failure (HF) inpatients remains unclear. Materials and methods We retrospectively collected HF inpatients over 65-year-old who were hospitalized in our cardiology center during the whole year of 2015. ALI was calculated as body mass index (BMI) × serum albumin (Alb)/neutrophil-to-lymphocyte ratio (NLR). Patients were divided into two groups by the optimal cutoff value of ALI for predicting all-cause mortality using time-dependent receiver operating characteristic (ROC) curves. The Spearman rank correlation coefficient was computed to evaluate the correlation between ALI and the geriatric nutritional risk index (GNRI). Kaplan–Meier curves, Cox survival analyses, time-dependent ROC analyses, and net reclassification improvement (NRI) analyses were used to assess the prognostic effect of ALI on all-cause mortality and cardiovascular mortality. Results Over a 28-month median follow-up, all-cause and cardiovascular mortality occurred in 192 (35.4%) and 132 (24.3%) out of 543 patients, respectively. The optimal cutoff value of ALI for predicting all-cause mortality at 2 years was 25.8. Spearman’s correlation coefficient showed a moderate positive linear correlation between ALI and GNRI (r = 0.44, p < 0.001). The Kaplan–Meier analysis revealed that the cumulative incidences of both all-cause and cardiovascular mortalities were significantly higher in patients with lower ALI (log-rank test, all-cause mortality: p < 0.0001; cardiovascular mortality: p < 0.0001). The multivariate Cox proportional hazard analyses indicated that ALI was an independent predictor for both all-cause mortality (HR 0.550, 95% CI 0.349–0.867, p = 0.01) and cardiovascular mortality (HR 0.536, 95% CI 0.302–0.953, p = 0.034). Time-dependent ROC analyses showed that ALI was comparable to GNRI in predicting long-term all-cause mortality (AUC: ALI 0.625, GNRI 0.641, p = 0.976) and cardiovascular mortality (AUC: ALI 0.632, GNRI 0.626, p = 0.999) at 2 years. However, the estimated NRI indicated that the addition of ALI could not significantly improve risk stratification of base models for all-cause mortality (categorical NRI 4.9%, p = 0.433, continuous NRI 25%, p = 0.022) or cardiovascular mortality (categorical NRI 6.5%, p = 0.223, continuous NRI 27.5%, p = 0.029). Conclusion Higher ALI was significantly associated with lower all-cause and cardiovascular mortalities in elderly HF patients. ALI on admission could be a competent nutrition-inflammation marker with independent predictive value for evaluating the long-term mortality of HF in elder population.

Project description:BackgroundThe lung immune prognostic index (LIPI) was first reported to predict the effectiveness of immune checkpoint inhibitors in patients with metastatic non-small cell lung cancer and there are no studies investigating the predictive value of LIPI for patients with PCa. This study explores the prognostic value of the LIPI in patients with metastatic hormone-sensitive prostate cancer (mHSPC) and metastatic castration-resistant prostate cancer (mCRPC).MethodsData from 502 patients with mHSPC primarily treated with maximal androgen blockade (MAB; 89% of patients received MAB) and 158 patients with mCRPC who received abiraterone were retrospectively analyzed. All cases were classified into LIPI-good, LIPI-intermediate, and LIPI-poor groups based on their LIPI score as calculated with the derived neutrophil-to-lymphocyte ratio and lactate dehydrogenase level. The potential for LIPI to be used in predicting mCRPC-free survival (CFS), prostate-specific antigen (PSA) response, PSA-progression-free survival (PSA-PFS), and overall survival (OS) was analyzed. A propensity score matching (PSM) methodology was performed to balance the baseline factors of the different groups.ResultsIn the mHSPC cohort, patients of the LIPI-good (mCFS: 25.7 months; mOS: 93.3 months), LIPI-intermediate (mCFS: 14.8 months; mOS: 51.9 months), and LIPI-poor group (mCFS: 6.8 months; mOS: 18.5 months) had sequentially worse clinical outcomes (P<0.001 for all pairwise comparisons). The results remained consistent after PSM. Multivariate Cox regression further confirmed that LIPI was an independent predictor of survival outcomes. Subgroup analysis verified that LIPI was associated with an unfavorable prognosis in all subgroups except for cases with visceral metastases or those receiving abiraterone or docetaxel. As for patients with mCRPC receiving abiraterone, LIPI was also an indicator of poor prognosis. Specifically, cases in the LIPI-good, LIPI-intermediate, and LIPI-poor groups had a ladder-shaped worse PSA response [71.4% (50/70) vs. 56.5% (39/69) vs. 36.8% (7/19); P=0.015], PSA-PFS (14.9 vs. 9.3 vs. 3.1 months; P<0.001), and OS (14.6 vs. 32.3 vs. 53.4 months; P<0.001). The results were robust even after PSM. Multivariate Cox regression confirmed that LIPI was an independent prognosticator of PSA-PFS and OS in patients with mCRPC treated with abiraterone.ConclusionsThis study demonstrated that the baseline LIPI was a significant prognostic biomarker for patients with both mHSPC and mCRPC and could potentially facilitate risk classification and clinical decision-making.

Dataset Information

Prognostic value of the DNA integrity index in patients with malignant lung tumors.

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Prognostic value of the DNA integrity index in patients with malignant lung tumors.

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