A new scoring system for predicting survival in patients with non-small cell lung cancer

Prognostic value of patient-reported outcome measures (PROMs) in adults with non-small cell Lung Cancer: a scoping review

Background

There is growing interest in the collection and use of patient-reported outcome measures (PROMs) to support clinical decision making in patients with non-small cell lung cancer (NSCLC). However, an overview of research into the prognostic value of PROMs is currently lacking.

Aim

To explore to what extent, how, and how robustly the value of PROMs for prognostic prediction has been investigated in adults diagnosed with NSCLC.

Methods

We systematically searched Medline, Embase, CINAHL Plus and Scopus for English-language articles published from 2011 to 2021 that report prognostic factor study, prognostic model development or validation study. Example data charting forms from the Cochrane Prognosis Methods Group guided our data charting on study characteristics, PROMs as predictors, predicted outcomes, and statistical methods. Two reviewers independently charted the data and critically appraised studies using the QUality In Prognosis Studies (QUIPS) tool for prognostic factor studies, and the risk of bias assessment section of the Prediction model Risk Of Bias ASsessment Tool (PROBAST) for prognostic model studies.

Results

Our search yielded 2,769 unique titles of which we included 31 studies, reporting the results of 33 unique analyses and models. Out of the 17 PROMs used for prediction, the EORTC QLQ-C30 was most frequently used (16/33); 12/33 analyses used PROM subdomain scores instead of the overall scores. PROMs data was mostly collected at baseline (24/33) and predominantly used to predict survival (32/33) but seldom other clinical outcomes (1/33). Almost all prognostic factor studies (26/27) had moderate to high risk of bias and all four prognostic model development studies had high risk of bias.

Conclusion

There is an emerging body of research into the value of PROMs as a prognostic factor for survival in people with NSCLC but the methodological quality of this research is poor with significant bias. This warrants more robust studies into the prognostic value of PROMs, in particular for predicting outcomes other than survival. This will enable further development of PROM-based prediction models to support clinical decision making in NSCLC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-10151-z.

Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC

ALK (anaplastic lymphoma kinase) inhibitors may be used to treat patients with ALK mutant metastatic nonsmall cell cancer (NSCLC). This study aimed to investigate the factors affecting the patients response to treatment with ALK-positive metastatic NSCLC. Data of the patients were investigated retrospectively. Binary regression analysis was performed to evaluate response predictors of treatment. Furthermore, we determined the cut-off value of the ALK-positivity for objective response to the therapy using ROC analysis. A total of 68 patients were included in the research. The median overall survival was observed 39.2 months. The overall response rate was 66.2%. The ratio of ALK positivity (P = .02), gender (P = .04), and the total number of metastatic sites (P = .02) all were detected as predictors of the response to ALK inhibitor in binary regression analysis. ALK inhibitor type (P = .56), primary tumor location (P = .35), pathological subtype (P = .68), de-novo metastatic disease (P = .28), and age (P = .94) were not predictive indicators for response. The cut-off level of ALK positivity was found to be 33% in patients with an objective response. The real-life effectiveness of ALK inhibitors in NSCLC patients with ALK mutations was shown in this research. We determined that having less than 3 metastatic sites, having a high ALK positivity ratio, and being female were all good predictors of ALK inhibitor response.

Low expression of INHB co-receptor TGFBR3 in connection with metastasis and immune infiltration in lung adenocarcinoma

OBJECTIVE

Inhibin B (INHB) is one of the TGF-β superfamily member, consisting of α (INHA) and βB (INHBB) subunits. Studies have found that TGF-β receptor 3 (TGFBR3) binds to a convex α subunit on the surface of INHB, and enhances the binding affinity of activin receptor type-2 (ACVR2A/B) to INHβ subunit. This study tried to evaluate the roles of INHB subunits and its receptors (INHA, ACVR2A, ACVR2B, INHBB, TGFBR3) as prognostic biomarkers and therapeutic targets for the effective treatment of lung adenocarcinoma (LUAD).

METHODS

We analyzed INHB subunits and its receptors' expression and the influence of LUAD from Oncomine, GEPIA, HCMDB, CancerSEA, TIMER databases and so on. Then, 41 cases of cancer tissue and 41 cases of adjacent epithelium were detected in LUAD patients by immunohistochemistry.

RESULTS

INHA, ACVR2A, ACVR2B, INHBB were up-regulated while TGFBR3 was down-regulated in LUAD. INHA, ACVR2A and TGFBR3 were found to be strongly associated with high-grade malignancies and advanced TNM, only TGFBR3 expression was negatively correlated with LUAD metastasis probably mainly through cell adhesion molecules and the PI3K-Akt signaling pathway, univariate and multivariate analysis suggested that overall survival was lower in LUAD cases with low TGFBR3 levels. Further analysis revealed that low TGFBR3 expression was related to reduced infiltration of immune cells into the LUAD, promoting metastasis of LUAD cells. TGFBR3 expression negatively correlates with lymphatic metastasis and clinical stage in patients with LUAD.

CONCLUSION

TGFBR3 could be a potential new metastatic biomarker for LUAD, with potential application as a prognostic marker and for immunotherapy of LUAD.

Quitting Smoking At or Around Diagnosis Improves the Overall Survival of Lung Cancer Patients: A Systematic Review and Meta-Analysis

INTRODUCTION

Lung cancer (LC) remains a disease with poor prognosis despite recent advances in treatments. Here, we aimed at summarizing the current scientific evidence on whether quitting smoking at or around diagnosis has a beneficial effect on the survival of LC patients.

METHODS

We searched MEDLINE and EMBASE for articles published until 31st October, 2021, that quantified the impact on LC patients' survival of quitting smoking at or around diagnosis or during treatment. Study-specific data were pooled into summary relative risk (SRR) and corresponding 95% confidence intervals (CI) using random effect meta-analysis models.

RESULTS

Twenty-one articles published between 1980 and 2021 were included, which encompassed a total of over 10,000 LC patients. There was substantial variability across studies in terms of design, patients' characteristics, treatments received, criteria used to define smoking status (quitters or continued), and duration of follow-up. Quitting smoking at or around diagnosis was significantly associated with improved overall survival (SRR 0.71, 95% CI 0.64-0.80), consistently among patients with non-small cell LC (SRR 0.77, 95% CI 0.66-0.90, n studies = 8), small cell LC (SRR 0.75, 95% CI 0.57-0.99, n studies = 4), or LC of both or unspecified histological type (SRR 0.81, 95% CI 0.68-0.96, n studies = 6).

CONCLUSIONS

Quitting smoking at or around diagnosis is associated with a beneficial effect on the survival of LC patients. Treating physicians should educate LC patients about the benefits of quitting smoking even after diagnosis and provide them with the necessary smoking cessation support.

Wait Times and Survival in Lung Cancer Patients across the Province of Quebec, Canada

Lung cancer is the leading cause of cancer death worldwide, with a five-year survival of 22% in Canada. Guidelines recommend rapid evaluation of patients with suspected lung cancer, but the impact on survival remains unclear. We reviewed medical records of all patients with newly diagnosed lung cancer in four hospital networks across the province of Quebec, Canada, between 1 February and 30 April 2017. Patients were followed for 3 years. Wait times for diagnosis and treatment were collected, and survival analysis using a Cox regression model was conducted. We included 1309 patients, of whom 39% had stage IV non-small cell lung cancer (NSCLC). Median wait times were, in general, significantly shorter in patients with stage III–IV NSCLC or SCLC. Surgery was associated with delays compared to other types of treatments. Median survival was 12.9 (11.1–15.7) months. The multivariate survival model included age, female sex, performance status, histology and stage, treatment, and the time interval between diagnosis and treatment. Longer wait times had a slightly protective to neutral effect on survival, but this was not significant in the stage I–II NSCLC subgroup. Wait times for the diagnosis and treatment of lung cancer were generally within targets. The shorter wait times observed for advanced NSCLC and SCLC might indicate a tendency for clinicians to act quicker on sicker patients. This study did not demonstrate the detrimental effect of longer wait times on survival.

Effects of lobectomy in stage II/IIIA second primary lung cancer patients with prior non-small cell lung cancer: a SEER-based study

OBJECTIVE

Our study aimed to reveal the prognostic factors of second primary lung cancer and explore the optimal surgical procedure for Stage II/IIIA second primary lung cancer patients with prior non-small cell lung cancer.

METHODS

Patients with Stage II/IIIA second primary lung cancer were collected from the Surveillance, Epidemiology and End Results database from 2004 to 2016. Lasso regression, along with univariate and multivariate Cox regression, was used to screen prognostic factors. The propensity score matching was used to minimize baseline differences, and restricted mean survival time was used to compare overall survival and cancer-specific survival of different groups.

RESULTS

A total of 579 patients were enrolled in the study. After data was screened by lasso regression and univariate Cox regression, multivariate Cox regression revealed that age, sex, race, tumor size of initial primary lung cancer, tumor size, histological grade, T stage, N stage and surgical procedure of second primary lung cancer were independent prognostic factors. Further analysis showed that surgery, especially lobectomy, provided better survival in Stage II/IIIA second primary lung cancer.

CONCLUSIONS

Our study identified nine independent prognostic factors of Stage II/IIIA second primary lung cancer. Surgery can provide a better prognosis, and lobectomy might be the optimal surgical procedure for these patients.

Associations of Pretreatment Physical Status Parameters with Tolerance of Concurrent Chemoradiation and Survival in Patients with Non-small Cell Lung Cancer

OBJECTIVE

The aim of this study was to evaluate associations between pretreatment physical status parameters and tolerance of concurrent chemoradiation (cCHRT) and survival among patients with stage III non-small cell lung cancer (NSCLC).

METHODS

A retrospective cohort study was conducted among patients with stage III NSCLC who had received cCHRT between 2006 and 2015. Multivariate independent associations were analysed between the pretreatment parameters age, Charlson comorbidity index, World Health Organization performance status (WHO performance status), body mass index (BMI), fat-free mass index (FFMI), maximal handgrip strength, forced expiratory volume in one second and carbon monoxide lung diffusion capacity on the one hand with tolerance of cCHRT (defined as a received radiation dose at least equal to the prescribed radiation dose) and survival on the other hand.

RESULTS

527 of 577 patients (91.3%) tolerated cCHRT. A WHO performance status ≥ 2 (odds ratio (OR) 0.43) and BMI < 18.5 kg/m² (OR 0.36) were associated with poorer tolerance of cCHRT. In the total group, a WHO performance status ≥ 2 (hazard ratio (HR) 1.73), low FFMI (HR 1.23) and intolerance of cCHRT (HR 1.55) were associated with poorer survival.

CONCLUSION

In patients with stage III NSCLC receiving cCHRT, poor WHO performance status and BMI < 18.5 kg/m² were independently associated with tolerance of cCHRT. Physical status parameters and intolerance of cCHRT were independently associated with poorer survival. Besides using this information for treatment decisions, optimizing physical status in patients at risk for intolerance of cCHRT might be a next step for improving treatment outcomes.

Nanopore Sequencing Reveals Global Transcriptome Signatures of Mitochondrial and Ribosomal Gene Expressions in Various Human Cancer Stem-like Cell Populations

Simple Summary

Cancer is the leading cause of death in the industrialized world. In particular, so-called cancer stem cells (CSCs) play a crucial role in disease progression, as they are known to contribute to tumor growth and metastasis. Thus, CSCs are heavily investigated in a broad range of cancers. Nevertheless, global transcriptomic profiling of CSC populations derived from different tumor types is rare. We established three CSC populations from tumors in the uterus, brain, lung, and prostate and assessed their global transcriptomes using nanopore full-length cDNA sequencing, a new technique to assess insights into global gene profile. We observed common expression in all CSCs for distinct genes encoding proteins for organelles, such as ribosomes, mitochondria, and proteasomes. Additionally, we detected high expressions of inflammation- and immunity-related genes. Conclusively, we observed high similarities between all CSCs independent of their tumor of origin, which may build the basis for identifying novel therapeutic strategies targeting CSCs.

Abstract

Cancer stem cells (CSCs) are crucial mediators of tumor growth, metastasis, therapy resistance, and recurrence in a broad variety of human cancers. Although their biology is increasingly investigated within the distinct types of cancer, direct comparisons of CSCs from different tumor types allowing comprehensive mechanistic insights are rarely assessed. In the present study, we isolated CSCs from endometrioid carcinomas, glioblastoma multiforme as well as adenocarcinomas of lung and prostate and assessed their global transcriptomes using full-length cDNA nanopore sequencing. Despite the expression of common CSC markers, principal component analysis showed a distinct separation of the CSC populations into three clusters independent of the specific type of tumor. However, GO-term and KEGG pathway enrichment analysis revealed upregulated genes related to ribosomal biosynthesis, the mitochondrion, oxidative phosphorylation, and glycolytic pathways, as well as the proteasome, suggesting a great extent of metabolic flexibility in CSCs. Interestingly, the GO term “NF-kB binding” was likewise found to be elevated in all investigated CSC populations. In summary, we here provide evidence for high global transcriptional similarities between CSCs from various tumors, which particularly share upregulated gene expression associated with mitochondrial and ribosomal activity. Our findings may build the basis for identifying novel therapeutic strategies targeting CSCs.

Patient-Reported Outcomes as Independent Prognostic Factors for Survival in Oncology: Systematic Review and Meta-Analysis

OBJECTIVES

Assessment of patient-reported outcomes (PROs) in oncology is of critical importance because it provides unique information that may also predict clinical outcomes.

METHODS

We conducted a systematic review of prognostic factor studies to examine the prognostic value of PROs for survival in cancer. A systematic literature search was performed in PubMed for studies published between 2013 and 2018. We considered any study, regardless of the research design, that included at least 1 PRO domain in the final multivariable prognostic model. The protocol (EPIPHANY) was published and registered in the International Prospective Register of Systematic Reviews (CRD42018099160).

RESULTS

Eligibility criteria selected 138 studies including 158 127 patients, of which 43 studies were randomized, controlled trials. Overall, 120 (87%) studies reported at least 1 PRO to be statistically significantly prognostic for overall survival. Lung (n = 41, 29.7%) and genitourinary (n = 27, 19.6%) cancers were most commonly investigated. The prognostic value of PROs was investigated in secondary data analyses in 101 (73.2%) studies. The EORTC QLQ-C30 questionnaire was the most frequently used measure, and its physical functioning scale (range 0-100) the most frequent independent prognostic PRO, with a pooled hazard ratio estimate of 0.88 per 10-point increase (95% CI 0.84-0.92).

CONCLUSIONS

There is convincing evidence that PROs provide independent prognostic information for overall survival across cancer populations and disease stages. Further research is needed to translate current evidence-based data into prognostic tools to aid in clinical decision making.

Tobacco Use and Treatment among Cancer Survivors

Tobacco use is causally associated with the risk of developing multiple health conditions, including over a dozen types of cancer, and is responsible for 30% of cancer deaths in the U [...].

Amenorrhea after lung cancer treatment

OBJECTIVE

More than 5,000 premenopausal women are diagnosed with lung cancer annually in the United States. Limited data exist regarding the risk of treatment-related amenorrhea, a surrogate for infertility and early menopause, after systemic therapies for lung cancer.

METHODS

Premenopausal women diagnosed with lung cancer under age 50 were surveyed at diagnosis and annually thereafter about their menstrual status as a part of the Mayo Clinic Epidemiology and Genetics of Lung Cancer Research Program. Types of lung cancer-directed treatments were recorded, and frequencies of self-reported menopause at each survey were calculated.

RESULTS

A cohort of 182 premenopausal women were included in this study, with average age at lung cancer diagnosis 43 years (SD 6). Among the 85 patients who received chemotherapy, 64% self-reported that they had become menopausal within a year of diagnosis. Platinum salts were universally included in these chemotherapy regimens, and the majority of these women also received taxanes within 1 year of diagnosis. Only 15% of the 94 patients who did not receive systemic therapy within 1 year of diagnosis experienced self-reported menopause. Three patients received targeted therapy alone, two of whom remained premenopausal at the final qualifying survey, completed a median of 3 years after diagnosis.

CONCLUSIONS

Chemotherapy for lung cancer patients appears to increase risk of early loss of menses in survivors.

Handgrip weakness, low fat-free mass, and overall survival in non-small cell lung cancer treated with curative-intent radiotherapy

BACKGROUND

Assessment of handgrip strength and fat-free mass provides quick and objective information on muscle performance and mass that might complement subjective World Health Organization Performance Status (WHO PS). We investigated to what extent the presence of pre-treatment handgrip weakness and low fat-free mass index (FFMI) provides additional prognostic information on top of well-established prognostic factors (including WHO PS) in non-small cell lung cancer (NSCLC) patients selected for curative-intent (chemo)radiation.

METHODS

Prospectively, patients with early and locally advanced NSCLC (stages I-III) treated with (chemo)radiation were enrolled. Handgrip weakness and low FFMI, derived from bioelectrical impedance analysis, were defined using normative values and were correlated with overall survival (OS).

RESULTS

We included 936 patients (age 68 ± 10 years; 64% male; 19% stage I, 9% stage II, and 72% stage III disease; 26% handgrip weakness; 27% low FFMI). In patients with good performance status (WHO PS 0 or 1), handgrip weakness and low FFMI were significant prognostic factors for OS, after adjustment for age, gender, disease stage, and co-morbidities. The combined presence of handgrip weakness and low FFMI was a strong prognostic factor for OS when compared with patients with normal handgrip strength and FFMI (hazard ratio: 1.79, 95% confidence interval: 1.34-2.40, P < 0.0001). In patients with impaired performance status (WHO PS ≥ 2, 19% of sample), handgrip weakness and low FFMI were not related to OS.

CONCLUSIONS

In early and locally advanced NSCLC patients treated with curative-intent (chemo)radiation who have good WHO PS, patients with combined handgrip weakness and low FFMI have the worst prognosis.

Prognostic value of cripto-1 expression in non-small-cell lung cancer patients: a systematic review and meta-analysis

Aim: This systematic review and meta-analysis aimed to analyze the association between cripto-1 expression and prognosis as well as clinicopathological features of non-small-cell lung cancer (NSCLC) patients. Methods: The electronic databases for all articles about NSCLC and cripto-1 expression were searched. Results: Twelve articles were enrolled in this meta-analysis (3130 samples). In NSCLC patients, cripto-1 was expressed higher than in normal tissues. Cripto-1 expression was closely correlated with lymph node metastasis, histological differentiation and advanced clinical stage of NSCLC patients, but not related to smoking, age and gender. Pooled hazard ratios found that high cripto-1 expression had poor overall survival and progression-free survival. Conclusion: Cripto-1 could serve as a novel biomarker for predicting poor prognosis in NSCLC patients.

Validation of Independent Prognostic Value of Asphericity of 18F-Fluorodeoxyglucose Uptake in Non-Small-Cell Lung Cancer Patients Undergoing Treatment With Curative Intent

BACKGROUND

In patients with non-small-cell lung cancer (NSCLC), asphericity (ASP) of the primary tumor's metabolic tumor volume (MTV) has shown prognostic significance. This study aimed at validation in an independent and sufficiently large cohort.

PATIENTS AND METHODS

A retrospective study was performed of 311 NSCLC patients undergoing ¹⁸F-fluorodeoxyglucose positron emission tomography / computed tomography (¹⁸F-FDG PET/CT) before curatively intended treatment (always including surgery). A total of 140 patients had International Union Against Cancer (UICC) stage I disease, 78 had stage II disease, and 93 had stage III disease (adenocarcinoma, n = 153; squamous-cell carcinoma, n = 141). Primary tumor MTV was delineated with semiautomated background-adapted threshold relative to the standardized maximum uptake value (SUV_max). Cox regression (progression-free survival [PFS] and overall survival [OS]) analysis for positron emission tomography (MTV, ASP, SUV_max) as well as for clinical (T/N descriptor, UICC stages), histologic, and treatment variables (Rx/1 vs. R0 resection, chemotherapy/radiotherapy yes/no) were performed.

RESULTS

Events (progression and relapse) occurred in 167 of 311 patients; 137 died (median survivor follow-up, 37 months). In multivariable Cox regression for OS, ASP > 33.3% (hazard ratio, 1.58 [1.04-2.39]), male sex (1.84), age (1.04 per year), Eastern Cooperative Oncology Group performance status ≥ 2 versus 0/1 (2.68), stage II versus I (1.96), and Rx/1 versus R0 resection (2.1) were significant. Among separate UICC stages, ASP only predicted OS in stage II (optimal, > 19.5%; median OS, 33 vs. 59 months). Regarding PFS, ASP > 21.2%, male sex, Eastern Cooperative Oncology Group performance status ≥ 2, stage II versus I disease, and Rx/1 resection were prognostic. ASP remained prognostic for stage II disease (optimal, > 19.5%; PFS, 12 vs. 47 months). Log-rank test for ASP was significant at any cutoff ≥ 18% (OS) or from 9% to 59% (PFS).

CONCLUSION

ASP was validated as prognostic factor for PFS and OS in patients with NSCLC and curative treatment intent, especially stage II. High ASP in stage II could imply intensified treatment or intensified follow-up.

IRF8 induces senescence of lung cancer cells to exert its tumor suppressive function

Lung cancer is the leading cause of cancer-related deaths worldwide. However, tumor suppressor genes remain to be systemically determined for lung cancer. Here we report interferon regulatory factor 8 (IRF8), a member of the IRF family of transcription factors, as a potent lung tumor suppressor gene. Expression of IRF8 is frequently diminished in lung tumoral tissues and is associated with prognosis of non-small cell lung cancer (NSCLC) patients. Ectopic expression of IRF8 suppresses the NSCLC cells proliferation in vitro and tumorigenic potential in vivo. More importantly, forced expression of IRF8 through infection of recombinant virus inhibits lung tumorigenesis in genetically engineered mouse model (GEMM). Mechanistically, IRF8 inhibits AKT signaling and promotes accumulation of P27 protein, which results in senescence of lung cancer cells. Ectopic expression of IRF8 in tumor cells leads to regression of lung cancer tumor nodules in a xenograft tumor model. Our data, therefore, solidly shows IRF8 to be a lung cancer suppressor gene and may denote an opportunity for therapeutic intervention of NSCLC.

A Role for NF-κB in Organ Specific Cancer and Cancer Stem Cells

Cancer stem cells (CSCs) account for tumor initiation, invasiveness, metastasis, and recurrence in a broad range of human cancers. Although being a key player in cancer development and progression by stimulating proliferation and metastasis and preventing apoptosis, the role of the transcription factor NF-κB in cancer stem cells is still underestimated. In the present review, we will evaluate the role of NF-κB in CSCs of glioblastoma multiforme, ovarian cancer, multiple myeloma, lung cancer, colon cancer, prostate cancer, as well as cancer of the bone. Next to summarizing current knowledge regarding the presence and contribution of CSCs to the respective types of cancer, we will emphasize NF-κB-mediated signaling pathways directly involved in maintaining characteristics of cancer stem cells associated to tumor progression. Here, we will also focus on the status of NF-κB-activity predominantly in CSC populations and the tumor mass. Genetic alterations leading to NF-κB activity in glioblastoma, ependymoma, and multiple myeloma will be discussed.

Maximizing quality of life remains an ultimate goal in the era of precision medicine: exemplified by lung cancer

An ultimate goal of precision medicine in lung cancer treatment is to restore patient health with maximized quality of life (QOL). Results from Mayo Clinic studies show that a significant improvement in fatigue, dyspnea, and pain scales could lead to better overall QOL. Although treatments and guidelines for clinical implementation to alleviate these key symptoms are available, few cancer patients receive adequate therapy, mostly because of limitations in current care delivery systems and unclear clinicians’ roles. For optimal care of lung cancer survivors in different subpopulations, three barriers must be overcome: physicians’ lack of knowledge, unwarranted practice variation, and uncertainty regarding care provider roles. Appropriate culturally adapted, tested and validated tools for QOL measures must be developed, rather than directly translating existing tools between different languages and across cultures or diverse subpopulations. Finally, lack of sensitive, adequate, and relevant tools in measuring health-related QOL (HRQOL) has long been an issue for effective data collection, demanding a global consensus on a set of core components that reflect the needs of all critical parties for the best cure and care, supporting patients to achieve optimal HRQOL.

Prognostic significance of NF-κB expression in non-small cell lung cancer: A meta-analysis

Nuclear factor kappa B (NF-κB), a key nuclear transcription factor, is associated with prognosis in a variety of human cancers. However, the clinical value of NF-κB in non-small cell lung cancer (NSCLC) is still controversial. Therefore, the aim of this meta-analysis was to obtain an accurate evaluation of the relationship between NF-κB expression and survival prognosis of NSCLC patients based on published articles. PubMed, EMBASE and Web of Science databases were systematically searched for potential articles. A total of 1159 patients from 7 eligible studies comparing prognostic significance of NF-κB expression levels in NSCLC were included in our meta-analysis. I² statistic and P value were performed to evaluate heterogeneity. The results of analysis were presented as hazard ratio (HR) or odds ratios (OR) with 95% confidence interval (95% CI). Subgroup analysis based on ethnicity of NSCLC patients and NF-kB cellular localization within cancer cells were conducted to illustrate the potential discrepancy. Significant heterogeneity was considered at I²>50% and P<0.05, and random-effects model was used. The combined results indicated that higher NF-κB expression was associated with shorter overall survival (OS) of NSCLC patients (HR = 2.78, 95% CI = 1.51–5.12, P = 0.001). Moreover, NF-κB expression was closely associated with tumor stage (HR = 0.32, 95% CI = 0.18–0.57, P<0.0001), lymph node metastasis (HR = 0.56, 95% CI = 0.38–0.83, P = 0.004) and 5-year OS for NSCLC patients (OR = 1.83, 95% CI = 1.02–3.31, P = 0.04). We conclude that NF-κB expression may be a potential unfavorable prognostic marker for NSCLC patients.

A Model to Predict the Use of Surgical Resection for Advanced-Stage Non-Small Cell Lung Cancer Patients

BACKGROUND

For advanced-stage non-small cell lung cancer, chemotherapy and chemoradiotherapy are the primary treatments. Although surgical intervention in these patients is associated with improved survival, the effect of selection bias is poorly defined. Our objective was to characterize selection bias and identify potential surgical candidates by constructing a Surgical Selection Score (SSS).

METHODS

Patients with clinical stage IIIA, IIIB, or IV non-small cell lung cancer were identified in the National Cancer Data Base from 1998 to 2012. Logistic regression was used to develop the SSS based on clinical characteristics. Estimated area under the receiver operating characteristic curve was used to assess discrimination performance of the SSS. Kaplan-Meier analysis was used to compare patients with similar SSSs.

RESULTS

We identified 300,572 patients with stage IIIA, IIIB, or IV non-small cell lung cancer without missing data; 6% (18,701) underwent surgical intervention. The surgical cohort was 57% stage IIIA (n = 10,650), 19% stage IIIB (n = 3,483), and 24% stage IV (n = 4,568). The areas under the receiver operating characteristic curve from the best-fit logistic regression model in the training and validation sets were not significantly different, at 0.83 (95% confidence interval, 0.82 to 0.83) and 0.83 (95% confidence interval, 0.82 to 0.83). The range of SSS is 43 to 1,141. As expected, SSS was a good predictor of survival. Within each quartile of SSS, patients in the surgical group had significantly longer survival than nonsurgical patients (p < 0.001).

CONCLUSIONS

A prediction model for selection of patients for surgical intervention was created. Once validated and prospectively tested, this model may be used to identify patients who may benefit from surgical intervention.

Lung cancer prognostic index: a risk score to predict overall survival after the diagnosis of non-small-cell lung cancer

INTRODUCTION

Non-small-cell lung cancer outcomes are poor but heterogeneous, even within stage groups. To improve prognostic precision we aimed to develop and validate a simple prognostic model using patient and disease variables.

METHODS

Prospective registry and study data were analysed using Cox proportional hazards regression to derive a prognostic model (hospital 1, n=695), which was subsequently tested (Harrell's c-statistic for discrimination and Cox-Snell residuals for calibration) in two independent validation cohorts (hospital 2, n=479 and hospital 3, n=284).

RESULTS

The derived Lung Cancer Prognostic Index (LCPI) included stage, histology, mutation status, performance status, weight loss, smoking history, respiratory comorbidity, sex, and age. Two-year overall survival rates according to LCPI in the derivation and two validation cohorts, respectively, were 84, 77, and 68% (LCPI 1: score⩽9); 61, 61, and 42% (LCPI 2: score 10-13); 33, 32, and 14% (LCPI 3: score 14-16); 7, 16, and 5% (LCPI 4: score ⩾15). Discrimination (c-statistic) was 0.74 for the derivation cohort, 0.72 and 0.71 for the two validation cohorts.

CONCLUSIONS

The LCPI contributes additional prognostic information, which may be used to counsel patients, guide trial eligibility or design, or standardise mortality risk for epidemiological analyses.

A New Score for Estimating Survival After Definitive Radiochemotherapy of Limited Disease Small Cell Lung Cancers

INTRODUCTION

Most patients with limited disease small cell lung cancer (LD-SCLC) receive definitive radiochemotherapy. Some patients cannot withstand combined modality treatments. Patients with short life expectancies should receive less time-consuming programs. For patients with favorable prognoses, cure while avoiding late toxicity is important. Personalized treatment programs are required. An instrument to estimate the survival after radiochemotherapy of LD-SCLC was created.

METHODS

Seventy-one patients receiving definitive radiochemotherapy for LD-SCLC were retrospectively analyzed. Eight factors were evaluated for survival including gender, age, Karnofsky performance score, T-stage, N-stage, tumor substage, number of pack years, and pre-radiotherapy hemoglobin level. Factors that were significant (p < 0.05) or showed a trend (p ≤ 0.08) on multivariate analyses were incorporated in the score. Scoring points were derived from 2-year survival rates divided by 10 and added to scores for individual patients.

RESULTS

On multivariate analysis, gender (p = 0.03), performance score (p < 0.001), and pre-radiotherapy hemoglobin level (p = 0.04) were significant, and tumor substage showed a trend (p = 0.08). Taking into account the 2-year survival rates of these factors, scores for single patients ranged from 9 to 26 points. Three groups were identified: 9-13, 14-18, and 19-26 points. One-year survival rates were 8, 73, and 100 %, respectively (p < 0.001). Two-year survival rates were 0, 35, and 87 %, respectively (p < 0.001). The 3-year survival rates were 0, 19, and 75 %, respectively (p < 0.001).

CONCLUSION

This score including three groups with significantly different survival rates is a helpful instrument for personalization of therapy for patients with LD-SCLC. When using this instrument, the limitations if this study must be taken into account.

[F-18] FDG-PET/CT parameters as predictors of outcome in inoperable NSCLC patients

Background

We evaluated the prognostic significance of standardized uptake value (SUVmax), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) in [F-18] FDG PET/CT findings in patients with inoperable non-small-cell lung cancer (NSCLC).

Patients and methods.

One hundred and three patients (mean age, 65.6 ± 16 years) underwent [F-18] FDG PET/CT before the chemotherapy. The SUVmax value, the MTV (cm³; 42% threshold) and the TLG (g) were registered. The patients were followed up to 18 months thereafter (range 12–55 months). Failure to respond without progression, progression and/or disease-related death constituted surrogate end-points. The optimal SUVmax, MTV and TLG cut-off to predict the patients’ outcome were estimated. PET/CT results were then related to disease outcome (progression free survival; PFS).

Results

The Kaplan-Meier survival analysis for SUVmax showed a significant shorter PFS in patients presenting with lower values as compared to those with higher (p < 0.05, log-rank test). MTV and TLG were not suitable for predicting PFS apart from the subset of patients with mediastinal nodal involvement.

Conclusions

Despite the availability of new tools for the quantitative assessment of disease activity on PET/CT, the SUVmax rather than MTV and TLG remains the only predictor for PFS in NSCLC patients. MTV holds a value only when concomitant nodal involvement occurs.