Clinical assessment of patients with advanced non-small-cell lung cancer eligible for second-line chemotherapy: A prognostic score from individual data of nine randomised trials

A prognostic score from a multicentric retrospective analysis of patients affected by sarcoma with metachronous lung metastases undergoing metastasectomy

BACKGROUND

Despite the lack of evidence-based on prospective randomized studies, surgery has become the cornerstone of the treatment in patients with pulmonary oligometastatic sarcomas. Our study aimed to construct a composite prognostic score for metachronous oligometastatic sarcoma patients.

METHODS

A retrospective analysis was performed on data patients who underwent radical surgery for metachronous metastases in six research institutes from January 2010 to December 2018. The log-hazard ratio (HR) obtained from the Cox model was used to derive weighting factors for a continuous prognostic index designed to identify differential outcome risks.

RESULTS

A total of 251 patients were enrolled in the study. In the multivariate analysis, a longer disease-free interval (DFI) and a lower neutrophil-to-lymphocytes ratio (NLR) were predictive of a better overall survival (OS) and disease-free survival (DFS). A prognostic score was developed based on DFI and NLR data, identifying 2 risk class groups for DFS (3-years DFS 20.2% for the high-risk group [HRG]and 46.4% for the low-risk group [LRG] [<0.0001]) and 3 risk groups for OS (3 years OS 53.9% for the HRG vs. 76.9% for the intermediate-risk group and 100% of the LRG (p < 0.0001)).

CONCLUSION

The proposed prognostic score effectively predicts outcomes for patients with lung metachronous oligo-metastases from the surgically treated sarcoma.

Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis

OBJECTIVES

Response to immune checkpoint inhibitor (ICI) remains limited to a subset of patients and predictive biomarkers of response remains an unmet need, limiting our ability to provide precision medicine. Using real-world data, we aimed to identify potential clinical prognosticators of ICI response in solid tumor patients.

METHODS

We conducted a retrospective analysis of all solid tumor patients treated with ICIs at the Mount Sinai Hospital between January 2011 and April 2017. Predictors assessed included demographics, performance status, co-morbidities, family history of cancer, smoking status, cancer type, metastatic pattern, and type of ICI. Outcomes evaluated include progression free survival (PFS), overall survival (OS), overall response rate (ORR) and disease control rate (DCR). Univariable and multivariable Cox proportional hazard models were constructed to test the association of predictors with outcomes.

RESULTS

We identified 297 ICI-treated patients with diagnosis of non-small cell lung cancer (N = 81, 27.3%), melanoma (N = 73, 24.6%), hepatocellular carcinoma (N = 51, 17.2%), urothelial carcinoma (N = 51, 17.2%), head and neck squamous cell carcinoma (N = 23, 7.7%), and renal cell carcinoma (N = 18, 6.1%). In multivariable analysis, good performance status of ECOG ≤ 2 (PFS, ORR, DCR and OS) and family history of cancer (ORR and DCR) associated with improved ICI response. Bone metastasis was associated with worse outcomes (PFS, ORR, and DCR).

CONCLUSIONS

Mechanisms underlying the clinical predictors of response observed in this real-world analysis, such as genetic variants and bone metastasis-tumor microenvironment, warrant further exploration in larger studies incorporating translational endpoints. Consistently positive clinical correlates may help inform patient stratification when considering ICI therapy.

Treatment strategy, overall survival and associated risk factors among patients with unresectable stage IIIB/IV non-small cell lung cancer in China (2015-2017): A multicentre prospective study

BACKGROUND

There are limited studies on treatment and survival analysis among patients with unresectable Stage IIIB or IV non-small cell lung cancer (NSCLC) in routine practice in China. To address this gap, we conducted a prospective observational study in a cohort of patients treated at 11 hospitals in China.

METHODS

This was a multicentre, prospective cohort study including patients with newly diagnosed unresectable Stage IIIB or IV NSCLC from June 26th, 2015 to April 28th, 2017. Patient baseline characteristics, disease characteristics, and anti-cancer treatments were obtained by medical chart review. The overall survival (OS) from the initiation of first-line treatment was analysed by the Kaplan-Meier method. Factors associated with survival were analysed by univariate and multivariate Cox regression models.

FINDINGS

Among 1324 patients enrolled with median follow-up duration of 15·0 (range: 0·0-42·1) months, 83·5% (1105/1324) of them received first-line chemotherapy of which platinum-based compounds were the dominated agents. Overall, 30·9% (409/1324) of patients received targeted therapy as 1st-line treatment including 65·0% (266/409) EGFR-TKIs and 5·1% (21/409) ALK-TKIs. Of all eligible patients, gene testing rates were 44·0% (583/1324) for EGFR mutations, 17·0% (225/1324) for EML4-ALK gene fusions, and 8·3% (110/1324) for ROS1 gene fusions. The EGFR-TKIs were administered to 63·9% (179/280) of EGFR mutated patients as first-line treatment. The overall median OS was 23·2 (95%CI 19·5-25·5) months, and patients treated at tier 1 cities had better OS than that of tier 2 cities. Also, the OS in patients with EGFR mutation was longer than those with EGFR wild type. Multivariate Cox regression models suggested that male, education below high school, tier 2 cities, smoking history, and multiple metastases were associated with poor survival.

INTERPRETATION

The gene test coverage was relatively low among the studied population, and over half of EGFR mutated patients received EGFR-TKIs, suggesting that the result of genetic tests in real-world settings may not always indicate the selection of treatment. The OS benefit observed from patients treated in tier 1 cities and those with EGFR mutation may indicate a need for broader gene test coverage, providing NSCLC patients with personalized treatment according to the results of genetic tests.

FUNDING

Roche Holding AG.TRANSLATED ABSTRACT: This translation in Chinese was submitted by the authors and we reproduce it as supplied. It has not been peer reviewed. Our editorial processes have only been applied to the original abstract in English, which should serve as reference for this manuscript.:IIIBIV(NSCLC)., ,, 11.:,, 20156262017428IIIBIVNSCLC.,.Kaplan-Meier(OS), Cox.:1324, 15.0(:0.0-42.1), 83.5%(1105/1324), ., 30.9%(409/1324), 65.0%(266/409)EGFR-TKI5.1%(21/409)ALK-TKI., EGFR,EML4-ALKROS144.0%(583/1324),17.0%(225/1324)8.3%(110/1324).63.9%(179/280)EGFREGFR-TKI.23.2 (95% 19·5-25·5) , ., EGFREGFR.Cox, ,,,.:, EGFREGFR-TKI, , .EGFR, , NSCLC.

Impact of COPD Treatment on Survival in Patients with Advanced Non-Small Cell Lung Cancer

Chronic obstructive pulmonary disease (COPD) is associated with a poor prognosis in patients with non-small cell lung cancer (NSCLC). However, the impact of COPD treatment on the survival of patients with advanced NSCLC remains uncertain. We retrospectively investigated COPD patients among patients newly diagnosed with advanced NSCLC between September 2005 and August 2019 at a university hospital. The clinical characteristics, lung function, and survival outcomes were analyzed and compared between patients who did and did not receive COPD treatment. Among 221 patients with advanced NSCLC and COPD, 124 patients received treatment for COPD and 97 patients did not receive treatment for COPD. Forced expiratory volume in 1 s (FEV1) % predicted value was greater in the no-treatment group than in the COPD treatment group (p < 0.001). The median overall survival (OS) of the treatment group was 10.7 months, while that of the no-treatment group was 8.7 months (p = 0.007). In the multivariate analysis, COPD treatment was independently associated with improved OS (hazard ratio 0.71, 95% confidence interval 0.53−0.95, and p = 0.021). COPD treatment was associated with improved OS in patients with advanced NSCLC and COPD. Therefore, pretreatment spirometry and maximal treatment for COPD may offer a chance of optimal management for patients with advanced NSCLC.

Current state of knowledge on immunotherapy in ECOG PS 2 patients. A systematic review

BACKGROUND

Patients with Eastern Cooperative Oncology Group Performance Status 2 (ECOG PS 2) are not included in most randomized clinical trials and registry studies. Nevertheless, immune checkpoint inhibitors are registered in the USA and Europe regardless of the performance status. Evidence regarding the effectiveness and safety of such treatment in this cohort is sparse.

METHODS

Using PubMed (to July 2020), the relevant literature on the effect of ECOG PS 2 on the efficacy and safety of immunotherapy in patients with advanced non-small cell lung cancer (NSCLC) with ECOG PS 2 was searched.

RESULTS

A database search conducted using an international repository (PubMed) identified 191 records. Additional 3 records were identified through other sources. After pre-selection, 92 records were excluded, and 102 full-text articles were assessed for eligibility. With further exclusion of articles not meeting the inclusion criteria, 44 studies were entered into the qualitative synthesis.

CONCLUSIONS

Immunotherapy seems to be justified in PS 2 patients with NSCLC. This method of treatment has been proven to be safe and tolerable. However, outcomes in this population remain suboptimal and the impact of immunotherapy in this cohort is less dramatic. Multiple scales evaluating many factors beyond PS scores have been suggested to help stratify the PS 2 to reinforce the chance of achieving better treatment outcomes. Randomized trials are needed to determine the benefits of immune checkpoint inhibitors (ICIs) for patients with poor ECOG PS.

A Prognostic Score for Predicting Survival in Patients With Pancreatic Head Adenocarcinoma and Distal Cholangiocarcinoma

BACKGROUND/AIM

Survival of patients with pancreatic cancer remains poor despite improvements in therapeutic strategies. This study aims to create a novel preoperative score to predict prognosis in patients with tumors of the pancreaticobiliary head.

PATIENTS AND METHODS

Data on 190 patients who underwent to pancreaticoduodenectomy at Sapienza University of Rome from January 2010 to December 2018 were retrospectively analyzed. After exclusion criteria, 101 patients were considered eligible for retrospective study. Preoperative biological, clinical and radiological parameters were considered.

RESULTS

Pancreatic ductal adenocarcinoma [hazard ratio (HR)=1.995, 95% confidence intervaI (CI)=1.1-3.3; p=0.01], carbohydrate antigen 19.9 (CA 19.9) >230 U/ml (HR=2.414, 95% CI=2.4-1.5, p<0.0001) and Wirsung duct diameter >3 mm (HR=1.592, 95% CI=1.5-0.9; p=0.08) were the only parameters associated with poor prognosis. Through these parameters, a prognostic score (PHT score) was developed which predicted worst survival when exceeding 2 and better survival when ≤2.

CONCLUSION

The PHT score may have a potential impact on predicting overall survival and consequently modulate the timing and type of treatment (up-front surgery vs. neoadjuvant therapy) patients are offered.

Immunotherapy in patients with non-small cell lung cancer with ECOG PS 2

Immunotherapy is a new and very promising method of anti-cancer treatment. Unfortunately, not every patient can benefit from this treatment. The Polish drug program determines the selection of patients based on PD-L1 expression and the performance status assessed with the use of Eastern Cooperative Oncology Group Performance Status (ECOG PS) score. Patients with ECOG PS 2 represent a significant proportion of the cancer population, one which is overlooked in most clinical trials of immunotherapy. Often, a reduced performance status is the only factor that excludes the patient from treatment with immunotherapy. Choosing the optimal method of treatment in patients with a worse general condition and with multiple diseases may be a significant problem for the doctor. Assessment of performance status may be a particular problem because not every patient has a worse PS score for the same reasons. In this study, we analyse the results of treatment of patients with a poorer performance status to date, and we present tools that improve the precise assessment of the degree of the performance status, which may enable more patients to access novel lung cancer treatments.

Pancreatic ductal adenocarcinoma and distal cholangiocarcinoma: a proposal of preoperative diagnostic score for differential diagnosis

PURPOSE

The differential diagnosis between primary adenocarcinoma of the pancreas head and distal cholangiocarcinoma remains a clinical challenge. Recent studies have shown important differences in terms of survival between these tumors. Therefore, different treatments should be considered, but the preoperative histological diagnosis is still difficult. Aim of this study is to create a preoperative diagnostic score for differential diagnosis between primary pancreatic adenocarcinoma and primary distal cholangiocarcinoma.

METHODS

One hundred eighty consecutive patients who underwent pancreaticoduodenectomy at Sapienza University of Rome from January 2010 to December 2019 were retrospectively analyzed. Inclusion criteria were pancreatic or biliary histologic origin obtained by definitive postoperative histological examination. Exclusion criteria were diagnosis of ampullary carcinoma, non-ampullary duodenal adenocarcinoma, pancreatic metastasis, and benign disease. One hundred one patients were considered eligible for the retrospective study. Preoperative biological, clinical, and radiological parameters were considered.

RESULTS

CRP > 10 mg/dL (p = 0.001), modified Glasgow Prognostic Score 2 (p = 0.002), albumin < 35 g/L (p = 0.05), CA 19-9 > 230 U/mL (p = 0.001), and Wirsung diameter > 3 mm (p < 0.001) were significant at univariate logistic analysis. Multivariate logistic analysis has shown that parameters independently associated with primary pancreatic adenocarcinoma were CRP > 10 mg/dL (p = 0.012), CA 19-9 > 230 U/mL (p = 0.043), and diameter of the Wirsung > 3 mm (p = 0.005). Through these parameters, a diagnostic score has been developed to predict a primary pancreatic adenocarcinoma when > 1 and a primary distal cholangiocarcinoma when < 1.

CONCLUSION

This feasible and low-cost diagnostic score could have a potential impact to differentiate pancreatic cancer histologic origin and to improve target therapeutic strategy.

Integrating clinical and biological prognostic biomarkers in patients with advanced NSCLC treated with immunotherapy: the DEMo score system

Background

Several biomarkers have been separately described to select patients for immunotherapy (IO), but few studies integrate these markers. Di Maio, EPSILoN and the plasma microRNA signature classifier (MSC), are three different clinico, biochemical and molecular markers able to independently predict prognosis in non-small cell lung cancer (NSCLC).

Methods

Complete data such as sex, histology, ECOG-PS, stage, smoking status, presence of liver metastasis, LDH and neutrophils-to-lymphocyte ratio were collected to generate Di Maio and EPSILoN. The MSC risk level was prospectively assessed in plasma samples collected at baseline IO. The 3 markers were integrated into the DEMo score system prospectively tested in a cohort of 200 advanced NSCLC patients treated with IO. Endpoints were overall survival (OS), progression-free survival (PFS) and overall response rate (ORR).

Results

DEMo separated patients in 7-risk groups whose median OS had a trend ranging from 29.7 to 1.5 months (P<0.0001). When comparing patients with the lowest (n=29) and the highest (n=35) DEMo scores ORR was 45% and 3%, respectively (P<0.0001). Considering the 53 PD-L1 ≥50% patients, DEMo identified a group of 13 (25%) patients who benefit less from IO in terms of both OS (HR: 8.81; 95% CI: 2.87–20.01) and PFS (HR: 6.82; 95% CI: 2.57–18.10). Twelve out of 111 (11%) patients who most benefit from IO according to OS (HR: 0.21; 95% CI: 0.07–0.62) and PFS (HR: 0.28; 95% CI: 0.12–0.65) were identified by DEMo in the PD-L1 <50% group.

Conclusions

The DEMo prognostic score system stratified NSCLC patients treated with IO better than each single marker. The proper use of DEMo according to PD-L1 could improve selection in IO regimens.

ECOG performance status ≥2 as a prognostic factor in patients with advanced non small cell lung cancer treated with immune checkpoint inhibitors-A systematic review and meta-analysis of real world data

OBJECTIVES

ICIs have been approved and are routinely administered regardless of performance status (PS), despite randomized clinical trials of ICIs alone or combined with chemotherapy or target therapy enrolled patients with ECOG PS 0 or 1, while patients with ECOG PS 2 or more were excluded.

MATERIALS AND METHODS

We carried out a meta-analysis of available clinical studies exploring the prognostic impact of PS ≥ 2 on Overall Survival (OS), Progression Free Survival (PFS) or Overall Response Rate (ORR) in patients with non small cell lung cancer (NSCLC) treated with immunotherapy (any line).

RESULTS

We reviewed 19 studies, comprising 3600 NSCLC patients, 757 of whom with ECOG PS > 1 (average 21.0%, range 6.0-48.6%). In the overall population PS ≥ 2 resulted in worse OS, PFS and ORR (OS pooled hazard ratio of 2.72; 95% CI: 2.03-3.63; I² 72.70%, p < 0.001; PFS pooled hazard ratio of 2.39; 95% CI 1.81-3.15, p < 0.0001; I² 73.03%; ORR pooled odds ratio 0.25; 95% CI 0.11-0.56, p 0.001; I² 0.00%).

CONCLUSION

ECOG PS ≥ 2 retains an important prognostic validity in patients treated with ICI similar, in terms of effect size, to that reported for chemotherapy in NSCLC. The high level of heterogeneity for OS and PFS analysis (but not for ORR), not completely explained by the different proportion of ECOG 3-4 patients (ranging from 0% to 50% of the PS ≥ 2 population), could be the result of both patient heterogeneity within the PS 2 population and the subjectivity of ECOG PS assessment. Whether poorer PS is also a predictor of lower immunotherapy efficacy remains still to be demonstrated.

Targeted next-generation sequencing identifies genomic abnormalities potentially driving the prognosis of early-stage invasive lobular breast carcinoma patients stratified according to a validated clinico-pathological model

INTRODUCTION

The clinico-pathological and molecular factors that drive the prognosis of invasive lobular breast carcinoma (ILC) are not entirely explored. In this regard, the development and validation of a prognostic model for ILC and the investigation of the distribution of molecular abnormalities (focusing on CDK4/6 alterations) according to prognosis were the aims of this study.

PATIENTS AND METHODS

Two clinico-pathological multi-center data-sets of early-stage ILC patients (Training/Validation Set, TS/VS) were gathered. A 3-class model was developed according to the multivariate analysis for disease-free-survival (DFS) and externally validated. Mutational, copy number variation and transcriptomic analyses by targeted next generation sequencing (NGS) were performed (and validated with quantitative PCR) in an explorative cohort of patients with poor and good prognosis.

RESULTS

Data from overall 773 patients (TS/VS: 491/282) were gathered. The developed model significantly discriminated low/intermediate/high risk in the TS (10-years DFS: 76.3%/67.6%/39.8%, respectively, p<0.0001) and in the VS (p<0.0001). In the explorative cohort for molecular analysis (34 patients), CDK4 gain was present exclusively in the poor prognosis group (35.0%, p = 0.03; OR 7.98, 95%CI 1.51-42.1, p = 0.014). Moreover, CDK4 and 6 overexpression showed a trend toward an association with poor prognosis (OR 2.7, 95%CI 0.4-18.1, p = 0.3; OR 3.29, 95%CI 0.56-19.25, p = 0.18).

CONCLUSIONS

A risk stratification model, able to accurately separate early-stage ILC patients' prognosis into different risk classes according to clinico-pathological variables, allowed to investigate potential biomarkers of prognosis with targeted NGS. CDK4 gain is suggested for future validation as a prognostic biomarker and a potential therapeutic opportunity in ILC patients.

Effect of anlotinib as a third- or further-line therapy in advanced non-small cell lung cancer patients with different histologic types: Subgroup analysis in the ALTER0303 trial

BACKGROUND

Anlotinib showed significant survival benefits in advanced non-small cell lung cancer (NSCLC) patients as a third- or further-line treatment in the ALTER0303 trial. We aimed to evaluate the efficacy of anlotinib in patients with different histologies.

METHODS

The ALTER0303 trial was a randomized, open-label, phase 3 study of anlotinib in NSCLC patients previously treated with at least two lines of chemotherapy or a tyrosine kinase inhibitor (TKI) in 31 centers in China. Patients were randomly assigned at a 2:1 ratio to receive anlotinib (12 mg QD from days 1 to 14 of a 21-day cycle) or placebo until progression or intolerable toxicity. The primary endpoint was overall survival (OS). We assessed the efficacy of anlotinib in histological subgroups in the full analysis set.

RESULTS

In the ALTER0303 trial, 336 patients had the histological subtype of adenocarcinoma (ACC), 86 patients had the histological subtype of squamous cell carcinoma (SCC), and 15 patients had another subtype. In the ACC subgroup, the median OS time was significantly improved with anlotinib compared with placebo (9.6 months vs 6.9 months, P = .0051), as was the median progression-free survival (PFS) time (5.5 months vs 1.4 months, P < .0001). In the SCC subgroup, the median OS time was 10.7 months in the anlotinib group and 6.5 months in the placebo group (P = .2570), and the median PFS time was 4.8 months and 2.7 months (P = .0004), respectively. The common adverse events observed in the SCC and ACC subgroups were similar.

CONCLUSIONS

Our findings suggest that anlotinib significantly improves PFS and OS in ACC patients and has a tendency to prolong survival in SCC patients.

Prognostic effect of a risk index model in postoperative non-small-cell lung cancer patients

Aim: Predicting the prognostic outcome of a single case among postoperative non-small-cell lung cancer (NSCLC) patients is difficult. We created a precise prognostic model to assess the condition and prognosis of postoperative NSCLC patients. Methods: We combined eight prognostic indicators (age, prothrombin time, international normalized ratio, globulin, albumin-to-globulin ratio, tumor diameter, number of positive lymph nodes and number of dissected lymph nodes) to construct a new risk index (RI) model. Results: The best cut-off value was -1.86 (area under the curve: 0.719). The overall survival of postoperative NSCLC patients decreased as the RI increased (p < 0.001). Conclusion: This RI model can assist clinicians in screening high-risk groups and developing treatment and follow-up plans for postoperative NSCLC patients.

Nivolumab in disadvantaged subgroups of metastatic non-small-cell lung cancer patients: a single-institution experience

Aim: Immunotherapy opened new frontiers in metastatic non-small-cell lung cancer treatment, but not all patients benefit from it. Methods: We retrospectively evaluated 65 metastatic non-small-cell lung cancer patients, treated with nivolumab, considering as disadvantaged subgroups those with poor performance status, elderly, patients with brain metastases at baseline, with high disease burden and refractory to platinum. Results: No differences in overall survival or time to treatment failure were found according to performance status, age, presence of brain metastases at baseline or high disease burden. Conversely, patients refractory to platinum had a statistically significant shorter overall survival and time to treatment failure. At multivariate analysis only platinum resistance was confirmed as an independent predictive factor. Conclusion: Our study suggests that only refractoriness to platinum salts influence the efficacy of nivolumab.

Defining aggressive or early progressing nononcogene-addicted non-small-cell lung cancer: a separate disease entity?

A substantial proportion of patients with nononcogene-addicted non-small-cell lung cancer (NSCLC) has 'aggressive disease', as reflected in short time to progression or lack of disease control with initial platinum-based chemotherapy. Recently, clinical correlates of aggressive disease behavior during first-line therapy have been shown to predict greater benefit from addition of nintedanib to second-line docetaxel in adenocarcinoma NSCLC. Positive predictive effects of aggressive disease have since been reported with other anti-angiogenic agents (ramucirumab and bevacizumab), while such features may negatively impact on outcomes with nivolumab in nonsquamous NSCLC with low PD-L1 expression. Based on a review of the clinical data, we recommend aggressive nonsquamous NSCLC should be defined by progression within <6-9 months of first-line treatment initiation.

A Clinical Prognostic Score to Predict Survival of Advanced or Metastatic Non-Small Cell Lung Cancer (NSCLC) Patients Receiving First-Line Chemotherapy: A Retrospective Analysis

BACKGROUND Although several complicated models have been built to evaluate the prognosis of NSCLC patients receiving chemotherapy, simple economic models are still needed to give a preliminary survival assessment of these patients. MATERIAL AND METHODS This study retrospectively assessed the clinical and biological parameters of 223 patients with advanced NSCLC. Univariate and multivariate analyses of overall survival (OS) and progression-free survival (PFS) for the parameters and the prognostic score were assessed. RESULTS Performance status (PS) score=1, smoking history, fibrinogenemia, thrombocytosis, increased lactate dehydrogenase (LDH) level, and anemia were independent predictors of poor prognosis in the univariate analysis of OS and were assessed in multivariate analysis. There was a significant difference in PS=1 (HR=2.134, p<0.0001), increased LDH level (HR=1.508, p=0.014), thrombocytosis (HR=1.547, p=0.012), and smoking history (HR=1.491, p=0.008), based on which the patients were classified into 3 risk groups: low risk (0-1 points), moderate risk (2 points), and high risk (3-5 points). At p values of <0.0001, the median OS was 565, 340, and 273 days and the median progression-free survival was 250, 209, and 135 days, respectively in these 3 risk groups. CONCLUSIONS We established a new prognostic score model using PS, LDH level, PLT count, and smoking history to predict the survival of patients receiving first-line chemotherapy for advanced NSCLC, which might be useful in clinical practice.

Decision support systems for incurable non-small cell lung cancer: a systematic review

BACKGROUND

Individually tailored cancer treatment is essential to ensure optimal treatment and resource use. Treatments for incurable metastatic non-small cell lung cancer (NSCLC) are evolving rapidly, and decision support systems (DSS) for this patient population have been developed to balance benefits and harms for decision-making. The aim of this systematic review was to inventory DSS for stage IIIB/IV NSCLC patients.

METHODS

A systematic literature search was performed in Pubmed, Embase and the Cochrane Library. DSS were described extensively, including their predictors, model performances (i.e., discriminative ability and calibration), levels of validation and user friendliness.

RESULTS

The systematic search yielded 3531 articles. In total, 67 articles were included after additional reference tracking. The 39 identified DSS aim to predict overall survival and/or progression-free survival, but give no information about toxicity or cost-effectiveness. Various predictors were incorporated, such as performance status, serum and inflammatory markers, and patient and tumor characteristics. Some DSS were developed for the entire incurable NSCLC population, whereas others were specifically for patients with brain or spinal metastases. Few DSS had been validated externally using recent clinical data, and the discrimination and calibration were often poor.

CONCLUSIONS

Many DSS have been developed for incurable NSCLC patients, but DSS are still lacking that are up-to-date with a good model performance, while covering the entire treatment spectrum. Future DSS should incorporate genetic and biological markers based on state-of-the-art evidence, and compare multiple treatment options to estimate survival, toxicity and cost-effectiveness.

Association between Charlson comorbidity index score and outcome in patients with stage IIIB-IV non-small cell lung cancer

Background

This retrospective study investigated the association between the Charlson comorbidity index (CCI) score and the survival of patients with stage IIIB-IV (advanced, non-resectable) non-small cell lung cancer (NSCLC) who also did not have gene mutations in epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK).

Methods

The records of 165 patients (28–80 y, median 61 y) who met the above criteria and were admitted to Beijing Friendship Hospital Capital Medical University from 1 May 2010 to 1 October 2014were reviewed. Associations between baseline variables and the CCI score were assessed via univariate and multivariate logistic regression analysis. Overall survival was defined as the time from the first clinic visit to death from any cause, or to the end of follow-up. Survival curves were estimated via the Kaplan-Meier method and compared with the log-rank test.

Results

Logistic regression analyses indicated that smoking and performance status were independently associated with the CCI score. Smoking was associated with an increased risk of mortality (odds ratio (OR) 4.12 (95% confidence interval [CI] 1.92–8.84) compared to non-smokers), as was performance status 2 (ambulatory, capable of self-care, unable to perform any work activities; active for >50% of waking hours) (OR 2.22 (95% CI, 1.14–4.33) compared to performance status 1). Univariate Cox’s regression analyses showed that the hazard ratios were significantly associated with the CCI score (P = 0.009), smoking (P = 0.042), and male gender (P = 0.021).

Conclusion

The CCI score is an important prognostic factor for the prediction of overall survival in patients with stage IIIB-IV NSCLC who are negative for EGFR and ALK gene mutations.

Response to first line chemotherapy regimen is associated with efficacy of nivolumab in non-small-cell lung cancer

Nivolumab, an anti PD-1 checkpoint inhibitor has demonstrated efficacy in metastatic non-small-cell lung cancer (NSCLC) patients after failure to standard chemotherapy. Standard chemotherapy agents could promote antitumor immune response. We thus examined whether the response to first line chemotherapy could impact on nivolumab benefit. One hundred and 15 patients with NSCLC were included in this retrospective study from 4 different French centers. Forty-three squamous cell carcinomas (SCC), and 72 non-SCC received nivolumab between 2015 and 2016 (3 mg/kg IV Q2W). Response to first-line chemotherapy and to nivolumab was retrospectively assessed on CT-scan by central review. The association between RECIST response to first-line chemotherapy and nivolumab efficacy were determined using Fisher's exact test and Cox proportional hazard model. Respectively 46 (40%), 44 (38%) and 25 (22%) patients experienced partial response (PR), stable disease (SD), or progressive disease (PD) in response to first-line platinum- based chemotherapy. Twenty 5 (21%), 34 (30%), 56 (49%) respectively experienced PR, SD and PD in response to nivolumab. 60% (54/90) of patients who experienced clinical benefit (PR + SD) after first-line chemotherapy also had clinical benefit after nivolumab, while only 20% (5/25) of patients with initial PD subsequently experienced clinical benefit with nivolumab (Fisher's exact test, P = 0.001). The type of first-line doublet chemotherapy did not influence the response rate to nivolumab. Univariate and multivariate analyses showed that patients with clinical benefit from first-line chemotherapy had higher second-line PFS (P = 0.003) (median PFS on nivolumab of 5, 3.3 and 1.9 months for patients with PR, SD and PD in response to first-line therapy, respectively). Similar results were obtained for OS. Thus this study suggests that the efficacy of first-line chemotherapy may be a valuable surrogate marker of the benefit of nivolumab in terms of PFS and OS.

Identifying Subsequent Therapies in Patients with Advanced Non-Small Cell Lung Cancer and Factors Associated with Overall Survival

STUDY OBJECTIVES

To identify subsequent therapies used after first-line therapies in patients with advanced non-small cell lung cancer (NSCLC), compare overall survival (OS) associated with subsequent therapies, and evaluate factors associated with OS in these patients.

METHODS

The study was a retrospective cohort analysis of patients with advanced NSCLC (stage IIIB/IV) who were initiated on first-line therapy from January 1, 2008, through September 30, 2013, and afterward given subsequent chemotherapy (index date). Patients had to be 18 years or older at the time of diagnosis of advanced NSCLC. Patients were followed from the index date until one of the following end points: end of the study (September 30, 2014), disenrollment from the health plan, or death-whichever came the earliest. The primary outcome was OS. Kaplan-Meier curves and Cox proportional hazard models were used to analyze OS and evaluate the factors associated with OS.

RESULTS

The analysis included 1280 patients on subsequent therapies. The most common subsequent therapies were pemetrexed (284 patients [22%]), erlotinib (216 patients [17%]), and docetaxel (139 patients [11%]). Patients from the singlets group had a lower OS at 6.3 months compared with all other groups: pemetrexed based, combination of pemetrexed and bevacizumab based, bevacizumab based, doublets, and tyrosine kinase inhibitors (p<0.0001). Factors associated with greater OS included age younger than 65 years, female gender, and a longer time between initiation of first and subsequent therapies. Factors associated with a reduction in OS were pemetrexed-based or singlet regimens for subsequent therapy, diagnosis of squamous histology, and a higher number of adverse events prior to subsequent therapy.

CONCLUSION

We found that a subsequent therapy consisting of singlets is associated with reduced OS compared with other chemotherapy groups. Patient characteristics such as female gender, age younger than 65 years, diagnosis of nonsquamous histology, and/or a longer time frame between initiation of first-line and subsequent chemotherapy are associated with longer survival.

Refining Prognosis in Lung Cancer: A Report on the Quality and Relevance of Clinical Prognostic Tools

INTRODUCTION

Accurate, individualized prognostication for lung cancer patients requires the integration of standard patient and pathologic factors, biological, genetic, and other molecular characteristics of the tumor. Clinical prognostic tools aim to aggregate information on an individual patient to predict disease outcomes such as overall survival, but little is known about their clinical utility and accuracy in lung cancer.

METHODS

A systematic search of the scientific literature for clinical prognostic tools in lung cancer published from January 1, 1996 to January 27, 2015 was performed. In addition, web-based resources were searched. A priori criteria determined by the Molecular Modellers Working Group of the American Joint Committee on Cancer were used to investigate the quality and usefulness of tools. Criteria included clinical presentation, model development approaches, validation strategies, and performance metrics.

RESULTS

Thirty-two prognostic tools were identified. Patients with metastases were the most frequently considered population in non-small-cell lung cancer. All tools for small-cell lung cancer covered that entire patient population. Included prognostic factors varied considerably across tools. Internal validity was not formally evaluated for most tools and only 11 were evaluated for external validity. Two key considerations were highlighted for tool development: identification of an explicit purpose related to a relevant clinical population and clear decision points and prioritized inclusion of established prognostic factors over emerging factors.

CONCLUSIONS

Prognostic tools will contribute more meaningfully to the practice of personalized medicine if better study design and analysis approaches are used in their development and validation.

Prognostic model for advanced breast carcinoma with luminal subtype and impact of hormonal maintenance: Implications for post-progression and conditional survival

BACKGROUND

The aim of this analysis was to develop and validate a prognostic model for advanced breast cancer (ABC) with luminal subtype based on the combination of clinical, pathological and therapeutic predictors to provide a practical tool to evaluate patients' prognosis.

METHODS

Clinical and pathological data were retrospectively correlated to progression-free and overall survival (PFS/OS) using a Cox model. Significant treatment variables were adjusted with the propensity score analysis. A continuous score to identify risk classes was derived according to model ratios. The performance of the risk-class model was tested for post-progression survival (PPS) and conditional survival (CS) as well.

RESULTS

Data from 335 patients (3 institutions) were gathered (median follow-up 58 months). At multivariate analysis Ki67, Performance Status (PS) and number of metastatic sites were significant predictors for PFS, whereas Ki67, PS, brain metastases, PFS after 1st-line therapy, number of chemotherapy lines, hormonal therapy and maintenance were significant predictors for OS. The hormonal maintenance resulted to be prognostic after adjustment with propensity score analysis. A two-class model significantly differentiated low-risk and high-risk patients for 2-year PFS (31.5% and 11.0%, p < 0.0001), and 3-years OS (57.1% and 4.8%, p < 0.0001). A three-class model separated low risk, intermediate-risk, and high-risk patients for 2-year PFS (40.8%, 24.4%, and 11.0%, p < 0.0001) and 3-year OS (68.1%, 24.8%, and 4.8%, p < 0.0001). Both models equally discriminate the luminal ABC prognosis in terms of PPS and CS.

CONCLUSIONS

A risk stratification model including 'easy-to-obtain' clinical, pathological and therapeutic parameters accurately separates luminal ABC patients into different risk classes.

Risk Stratification Model for Resected Squamous-Cell Lung Cancer Patients According to Clinical and Pathological Factors

INTRODUCTION

The aim of this analysis (AIRC-MFAG project no. 14282) was to define a risk classification for resected squamous-cell lung cancer based on the combination of clinicopathological predictors to provide a practical tool to evaluate patients' prognosis.

METHODS

Clinicopathological data were retrospectively correlated to disease-free/cancer-specific/overall survival (DFS/CSS/OS) using a Cox model. Individual patient probability was estimated by logistic equation. A continuous score to identify risk classes was derived according to model ratios and dichotomized according to prognosis with receiver operating characteristic analysis.

RESULTS

Data from 573 patients from five institutions were gathered. Four hundred ninety-four patients were evaluable for clinical analysis (median age: 68 years; male/female: 403/91; T-descriptor according to TNM 7th edition 1-2/3-4: 330/164; nodes 0/>0: 339/155; stages I and II/III and IV: 357/137). At multivariate analysis, age, T-descriptor according to TNM 7th edition, nodes, and grading were independent predictors for DFS and OS; the same factors, except age and grading, predicted CSS. Multivariate model predict individual patient probability with high prognostic accuracy (0.67 for DFS). On the basis of receiver operating characteristic-derived cutoff, a two-class model significantly differentiated low-risk and high-risk patients for 3-year DFS (64.6% and 32.4%, p < 0.0001), CSS (84.4% and 44.5%, p < 0.0001), and OS (77.3% and 38.8%, p < 0.0001). A three-class model separated low-risk, intermediate-risk, and high-risk patients for 3-year DFS (64.6%, 39.8%, and 21.8%, p < 0.0001), CSS (84.4%, 55.4%, and 30.9%, p< 0.0001), and OS (77.3%, 47.9%, and 27.2%, p < 0.0001).

CONCLUSIONS

A risk stratification model including often adopted clinicopathological parameters accurately separates resected squamous-cell lung cancer patients into different risk classes. The project is currently ongoing to integrate the clinicopathological model with investigational molecular predictors.

A prognostic model for platinum-doublet as second-line chemotherapy in advanced non-small-cell lung cancer patients

Poor prognosis of advanced non‐small‐cell lung cancer (NSCLC) patients and the promising therapeutic effect of platinum urge the oncologists to evaluate the role of platinum doublet as second‐line chemotherapy and establish the definition of platinum sensitivity in NSCLC. We retrospectively analyzed 364 advanced NSCLC patients who received platinum‐doublet regimens as second‐line chemotherapy after platinum‐based first‐line treatment. Patients were divided into four groups by their time‐to‐progression (TTP) after first‐line chemotherapy: 0–3, 4–6, 7–12, and >12‐month group, respectively. Treatment efficacy of patients' overall survival (OS), progression‐free survival (PFS), and response rate (RR), as well as treatment‐related toxicity, were compared among the four groups. A prognosis score system and a nomogram were established by Cox proportional hazard model, and validated by concordance index (c‐index). Median OS was 14.0, 16.0, 20.0, 25.0 months for patients in the 0–3, 4–6, 7–12, >12‐month group, respectively. Age ≤60 years (P = 0.002), female (P = 0.019), and TTP>12 months (P = 0.003) were independent prognostic factors. Prognostic score was calculated by adding 1 point each for any of the above three indicators, with a c‐index of 0.590 (95% confidential interval [CI], 0.552–0.627). Median OS were equal to 25.0, 16.0, and 11.0 months for best (2–3 points), intermediate (1 point) and worst (0 point) category, respectively (P < 0.0001). A nomogram that integrated patient's age, gender, and TTP for OS has a c‐index of 0.623 (95% CI, 0.603–0.643). Female, younger than 60 years, and TTP greater than 12 months may indicate prolonged survival after platinum‐doublet second‐line chemotherapy in advanced NSCLCpatients.

The Application of Molecular Diagnostics to Stained Cytology Smears

Detection of mutational alterations is important for guiding treatment decisions of lung non-small-cell carcinomas and thyroid nodules with atypical cytologic findings. Inoperable lung tumors requiring further testing for staging and thyroid lesions often are diagnosed using only cytology material. Molecular diagnostic tests of these samples typically are performed on cell blocks; however, insufficient cellularity of cell blocks is a limitation for test performance. In addition, some of the fixatives used while preparing cell blocks often introduces artifacts for mutation detection. Here, we applied qClamp xenonucleic technology and quantitative RT-PCR to cells microdissected directly from stained cytology smears to detect common alterations including mutations and translocations in non-small-cell carcinomas and thyroid lesions. By using this approach, we achieved a 1% molecular alteration detection rate from as few as 50 cells. Ultrasensitive methods of molecular alteration detection similar to the one described here will be increasingly important for the evaluation of molecular alterations in clinical scenarios when only tissue samples that are small are available.

Is second-line systemic chemotherapy beneficial in patients with non-small cell lung cancer (NSCLC)? A multicenter data evaluation by the Anatolian Society of Medical Oncology

Patients with advanced non-small cell lung cancer (NSCLC) generally require second-line treatment although their prognosis is poor. In this multicenter study, we aimed to detect the characteristics related to patients and disease that can predict the response to second-line treatments in advanced NSCLC. Data of 904 patients who have progressed after receiving first-line platinum-based chemotherapy in 11 centers with the diagnosis of stage IIIB and IV NSCLC and who were evaluated for second-line treatment were retrospectively analyzed. The role of different factors in determining the benefit of second-line treatment was analyzed. Median age of patients was 57 years (range 19-86). Docetaxel was the most commonly used (20.9 %, n = 189) single agent, while gemcitabine-platinum was the most commonly used (6.7 %, n = 61) combination chemotherapy regimen in second-line setting. According to survival analysis, median progression-free survival after first-line treatment (PFS2) was 3.5 months (standard error (SE) 0.2; 95 % confidence interval (CI), 3.2-3.9), median overall survival (OS) was 6.7 months (SE 0.3; 95 % CI, 6.0-7.3). In multivariate analysis, independent factors affecting PFS2 were found to be hemoglobin (Hb) level over 12 g/dl and treatment-free interval (TFI) longer than 3 months (p = 0.006 and 0.003, respectively). Similarly, in OS analysis, Hb level over 12 g/dl and time elapsed after the first-line treatment that is longer than 3 months were found to be independent prognostic factors (p = 0.0001 and 0.045, respectively). In light of these findings, determining and using the parameters for which the treatment will be beneficial prior to second-line treatment can increase success rate.

Prognostic Model Based on Systemic Inflammatory Response and Clinicopathological Factors to Predict Outcome of Patients with Node-Negative Gastric Cancer

Prognostic models are generally used to predict gastric cancer outcomes. However, no model combining patient-, tumor- and host-related factors has been established to predict outcomes after radical gastrectomy, especially outcomes of patients without nodal involvement. The aim of this study was to develop a prognostic model based on the systemic inflammatory response and clinicopathological factors of resectable gastric cancer and determine whether the model can improve prognostic accuracy in node-negative patients. We reviewed the clinical, laboratory, histopathological and survival data of 1397 patients who underwent radical gastrectomy between 2007 and 2013. Patients were split into development and validation sets of 1123 and 274 patients, respectively. Among all 1397 patients, 545 had node-negative gastric cancer; 440 were included in the development set, 105 were included in the validation set. A prognostic model was constructed from the development set. The scoring system was based on hazard ratios in a Cox proportional hazard model. In the multivariate analysis, age, tumor size, Lauren type, depth of invasion, lymph node metastasis, and the neutrophil--lymphocyte ratio were independent prognostic indicators of overall survival. A prognostic model was then established based on the significant factors. Patients were categorized into five groups according to their scores. The 3-year survival rates for the low- to high-risk groups were 98.9%, 92.8%, 82.4%, 58.4%, and 36.9%, respectively (P < 0.001). The prognostic model clearly discriminated patients with stage pT1-4N0M0 tumor into four risk groups with significant differences in the 3-year survival rates (P < 0.001). Compared with the pathological T stage, the model improved the predictive accuracy of the 3-year survival rate by 5% for node-negative patients. The prognostic scores also stratified the patients with stage pT4aN0M0 tumor into significantly different risk groups (P = 0.004). Furthermore, the predictive value of this model was validated in an independent set of 274 patients. This model, which included the systemic inflammatory markers and clinicopathological factors, is more effective in predicting the prognosis of node-negative gastric cancer than traditional staging systems. Patients in the high-risk group might be good candidates for adjuvant chemotherapy.

A comprehensive review of nongenetic prognostic and predictive factors influencing the heterogeneity of outcomes in advanced non-small-cell lung cancer

While there have been advances in treatment options for those with advanced non-small-cell lung cancer, unmet medical needs remain, partly due to the heterogeneity of treatment effect observed among patients. The goals of this literature review were to provide updated information to complement past reviews and to identify a comprehensive set of nongenetic prognostic and predictive baseline factors that may account for heterogeneity of outcomes in advanced non-small-cell lung cancer. A review of the literature between 2000 and 2010 was performed using PubMed, Embase, and Cochrane Library. All relevant studies that met the inclusion criteria were selected and data elements were abstracted. A classification system was developed to evaluate the level of evidence for each study. A total of 54 studies were selected for inclusion. Patient-related factors (eg, performance status, sex, and age) were the most extensively researched nongenetic prognostic factors, followed by disease stage and histology. Moderately researched prognostic factors were weight-related variables and number or site of metastases, and the least studied were comorbidities, previous therapy, smoking status, hemoglobin level, and health-related quality of life/symptom severity. The prognostic factors with the most consistently demonstrated associations with outcomes were performance status, number or site of metastases, previous therapy, smoking status, and health-related quality of life. Of the small number of studies that assessed predictive factors, those that were found to be significantly predictive of outcomes were performance status, age, disease stage, previous therapy, race, smoking status, sex, and histology. These results provide a comprehensive overview of nongenetic prognostic and predictive factors assessed in advanced non-small-cell lung cancer over the last decade. This information can be used to inform the design of future clinical trials by suggesting additional subgroups based on nongenetic factors that may be analyzed to further investigate potential prognostic and predictive factors.

Ramucirumab plus docetaxel versus placebo plus docetaxel for second-line treatment of stage IV non-small-cell lung cancer after disease progression on platinum-based therapy (REVEL): a multicentre, double-blind, randomised phase 3 trial

BACKGROUND

Ramucirumab is a human IgG1 monoclonal antibody that targets the extracellular domain of VEGFR-2. We aimed to assess efficacy and safety of treatment with docetaxel plus ramucirumab or placebo as second-line treatment for patients with stage IV non-small-cell-lung cancer (NSCLC) after platinum-based therapy.

METHODS

In this multicentre, double-blind, randomised phase 3 trial (REVEL), we enrolled patients with squamous or non-squamous NSCLC who had progressed during or after a first-line platinum-based chemotherapy regimen. Patients were randomly allocated (1:1) with a centralised, interactive voice-response system (stratified by sex, region, performance status, and previous maintenance therapy [yes vs no]) to receive docetaxel 75 mg/m(2) and either ramucirumab (10 mg/kg) or placebo on day 1 of a 21 day cycle until disease progression, unacceptable toxicity, withdrawal, or death. The primary endpoint was overall survival in all patients allocated to treatment. We assessed adverse events according to treatment received. This study is registered with ClinicalTrials.gov, number NCT01168973.

FINDINGS

Between Dec 3, 2010, and Jan 24, 2013, we screened 1825 patients, of whom 1253 patients were randomly allocated to treatment. Median overall survival was 10·5 months (IQR 5·1-21·2) for 628 patients allocated ramucirumab plus docetaxel and 9·1 months (4·2-18·0) for 625 patients who received placebo plus docetaxel (hazard ratio 0·86, 95% CI 0·75-0·98; p=0·023). Median progression-free survival was 4·5 months (IQR 2·3-8·3) for the ramucirumab group compared with 3·0 months (1·4-6·9) for the control group (0·76, 0·68-0·86; p<0·0001). We noted treatment-emergent adverse events in 613 (98%) of 627 patients in the ramucirumab safety population and 594 (95%) of 618 patients in the control safety population. The most common grade 3 or worse adverse events were neutropenia (306 patients [49%] in the ramucirumab group vs 246 [40%] in the control group), febrile neutropenia (100 [16%] vs 62 [10%]), fatigue (88 [14%] vs 65 [10%]), leucopenia (86 [14%] vs 77 [12%]), and hypertension (35 [6%] vs 13 [2%]). The numbers of deaths from adverse events (31 [5%] vs 35 [6%]) and grade 3 or worse pulmonary haemorrhage (eight [1%] vs eight [1%]) did not differ between groups. Toxicities were manageable with appropriate dose reductions and supportive care.

INTERPRETATION

Ramucirumab plus docetaxel improves survival as second-line treatment of patients with stage IV NSCLC.

FUNDING

Eli Lilly.

Outcomes of second-line chemotherapy for advanced non-small cell lung cancer in one institution

Background

This study analyzed the negative prognostic factors in patients who received second-line chemotherapy for advanced inoperable non-small cell lung cancer (NSCLC).

Methods

We retrospectively reviewed the records of 137 patients with inoperable stage III-IV NSCLC who received second-line chemotherapy. The effects of clinical parameters on survival were analyzed and the hazard ratios (HR) for mortality were identified by a Cox regression analysis.

Results

Sex, age older than 65 years, smoking history, cell type, T-stage, best response to first-line chemotherapy and first-line chemotherapy regimen were significant negative predictors in univariate analysis. The multivariate analysis showed that patients older than 65 years (HR, 1.530; 95% confidence interval [CI], 1.020-2.297), advanced T stage (T4 vs. T1; HR, 2.273; 95% CI, 1.010-5.114) and non-responders who showed progression with first-line chemotherapy (HR, 1.530; 95% CI, 1.063-2.203) had higher HR for death.

Conclusion

The age factor, T stage and responsiveness to first-line chemotherapy were important factors in predicting the outcome of patients with advanced NSCLC who received second-line chemotherapy. The results may help to predict outcomes for these patients in the future.

Management of Italian patients with advanced non-small-cell lung cancer after second-line treatment: results of the longitudinal phase of the LIFE observational study

INTRODUCTION/BACKGROUND

Patients with advanced NSCLC who experience disease progression after second-line therapy might receive further active treatment. LIFE was an Italian cohort multicenter observational study composed of a cross-sectional and a longitudinal phase.

PATIENTS AND METHODS

In the longitudinal phase, described here, the primary aim was to determine the proportion of patients receiving third-line therapy among those who received second-line active treatment according to clinical practice. The proportion of patients receiving further treatment lines was also estimated.

RESULTS

The longitudinal phase was conducted between January and August 2012. Of 464 patients who began second-line therapy outside of clinical trials within the baseline evaluation, 56 (12.1%) were still receiving second-line therapy at the end of the observation period and 17 (3.7%) withdrew during or after second-line therapy. Of the remaining 391 patients, 158 (40.4%) received third-line treatment outside of clinical trials: 93 received a third-line chemotherapy and 65 a targeted agent. The main reason for interrupting third-line treatment was disease progression or death. During the same observation period, 25 of 113 patients who completed a third-line therapy received a fourth line of treatment. From diagnosis of NSCLC to the end of observation, biomarkers were tested in 323 patients (59.7%): epidermal growth factor receptor mutations in 315 (58.2%), Kirsten rat sarcoma 2 viral oncogene homolog (KRAS) mutations in 83 (15.3%) and Anaplastic lymphoma kinase (ALK) translocation in 84 (15.5%).

CONCLUSION

In Italian clinical practice, the proportion of patients with advanced NSCLC receiving more than 2 treatment lines of therapy is not negligible.

Retrospective analysis of the clinical and demographic variables on the outcomes after second-line treatment in advanced non-small cell lung cancer

BACKGROUND

Platinum based doublets chemotherapy are the standard of care for metastatic or advanced non-small cell lung carcinoma. This leads to modest survival advantage and improve quality-of-life. However, patients with advanced or metastatic disease eventually present disease progression and needs second-line systemic therapy in a selected group of patients or other supportive measures. There is very little knowledge available from the literature about the prognostic variables in patients, who receive second-line therapy.

MATERIALS AND METHODS

We retrospectively reviewed 329 patients received second-line treatment from July 2007 to September 2011 in the Department of Radiation Oncology, Burdwan Medical College and Hospital. For statistical analysis, 12 potential prognostic variables included. Univariate and multivariate regression analysis carried out to identify the prognostic variables associated with survival.

RESULTS

The results of univariate analysis for overall survival (OS) and survival after second-line therapy identified to have prognostic significance: Age, sex, performance status, smoking history, serum lactate dehydrogenase, histopathology, first-line chemotherapy and its response and second-line therapy except the stage at diagnosis and site of failure after first-line therapy. The multivariate Cox regression analysis has shown that only performance and second-line therapy were independent prognostic variables for survival after second-line treatment and above these prognostic factors; age, smoking status and progression free survival also for OS.

CONCLUSION

The performance status has shown consistent result as a prognostic factor in univariate and multivariate analysis for OS and survival after second-line therapy. These findings may also facilitate pretreatment prediction of survival and be used for selecting patients for the correct choice of cytotoxic therapy.

Prognostic factors in the radical nonsurgical treatment of stage IIIB non-small-cell lung cancer

BACKGROUND

Many patients diagnosed with stage IIIB (AJCC sixth edition; T4, N3, or both; no pleural effusion) non-small-cell lung cancer (NSCLC) are treated with curative intent, despite a low cure rate. Guidelines are required to help select patients for radical therapy so that the patients with little chance of cure may be spared the toxicities of aggressive treatment. A retrospective analysis was performed to investigate factors influencing outcomes in these patients.

MATERIALS AND METHODS

From 2002 to 2009, all cases of stage IIIB NSCLC from the authors' institution were identified. Patients treated with radical radiotherapy (minimum dose, 50 Gy), with or without chemotherapy, were included. Charts were reviewed for patient demographic data, baseline blood work, tumor factors, treatment factors, and hospitalizations. The primary outcome was overall survival (OS), measured from time of diagnosis.

RESULTS

Of 238 patients identified, 184 eligible cases were reviewed. The median follow-up for all patients was 17.2 months (range, 1.7-237.1). The median progression-free survival was 10.8 months (95% CI, 9.6-12.4). Median survival was 17.9 months, and OS was 68%, 42%, and 28% at 1, 2, and 3 years, respectively. In multivariate analysis, female gender (hazard ratio [HR], 0.58; 95% CI, 0.37-0.88; P = .0013), ≤ 5% weight loss (HR, 0.64; 95% CI, 0.43-0.93; P = .01), and absence of N3 disease (HR, 0.64; 95% CI, 0.42-0.96; P = .03) were associated with significantly longer survival.

CONCLUSION

OS was significantly longer in women, in patients with ≤ 5% weight loss, and in those without N3 disease. Good patient selection remains important in the radical treatment of stage IIIB NSCLC.

Gemcitabine plus paclitaxel as second-line chemotherapy in patients with advanced non-small cell lung cancer

PURPOSE

The aim of this retrospective study was to determine response rates, progression-free survival (PFS), overall survival (OS) and toxicity of gemcitabine and paclitaxel combinations with advanced or metastatic non-small cell lung cancer patients (NSCLC) who have progressive disease after platinum-based first-line chemotherapy.

METHODS

We retrospectively evaluated the file records of patients treated with gemcitabine plus paclitaxel in advanced or metastatic NSCLC cases in a second-line setting. The chemotherapy schedule was as follows: gemcitabine 1500 mg/m2 and paclitaxel 150 mg/m2 administered every two weeks.

RESULTS

Forty-eight patients (45 male, 3 female) were evaluated; stage IIIB/IV 6/42; PS0, 8.3%, PS1, 72.9%, PS2, 18.8%; median age, 56 years old (range 38-76). Six (12.5%) patients showed a partial response (PR), 13 (27.1%) stable disease (SD), and 27 (56.3%) progressive disease (PD). The median OS was 6.63 months (95% CI 4.0-9.2); the median PFS was 2.7 months (95% CI 1.8-3.6). Grade 3 and 4 hematologic toxicities, including neutropenia (n=4, 8.4%), and anemia (n=3, 6.3%) were encountered, but no grade 3 or 4 thrombocytopenia. One patient developed febrile neutropenia. There were no interruption for reasons of toxicity and no exitus related to therapy.

CONCLUSION

The combination of two-weekly gemcitabine plus paclitaxel was an effective and well-tolerated second-line chemotherapy regimen for advanced or metastatic NSCLC patients previously treated with platinum-containing chemotherapy. Although the most common and dose limiting toxicities were neutropenia and neuropathy, this regimen was tolerated well by the patients.

EGFR-tyrosine kinase inhibitor treatment beyond progression in long-term Caucasian responders to erlotinib in advanced non-small cell lung cancer: a case-control study of overall survival

INTRODUCTION

Some patients with advanced NSCLC show prolonged disease stabilization on treatment with an EGFR-tyrosine kinase inhibitor (TKI) such as erlotinib. It is not clear how to treat patients who progress after prolonged response to erlotinib. We hypothesized that TKI therapy beyond progression with added chemotherapy, radiotherapy or best supportive care may improve survival.

PATIENTS AND METHODS

We retrospectively analyzed all NSCLC patients treated with erlotinib at our institutions since 2004who progressed after at least stable disease on erlotinib for at least 6 months. The first 16 patients did not receive further TKI treatment after progression (controls). The following 25 patients were treated with TKI beyond progression (TKI patients). Overall survival (OS) was analyzed for the whole population, a case-control analysis of pairs matched for gender, smoking status, and histology (n=28), and for patients with known EGFR mutation status (n=23).

RESULTS

Treatment with TKI and chemotherapy was well tolerated. TKI-patients had a significantly longer OS from progression on TKI (case-control: median 14.5 vs. 2.0 months, HR 0.154) and longer OS from diagnosis of lung cancer (case-control: median 54.5 vs. 28.3 months, HR 0.474). An activating EGFR mutation was detected in 13 of the 23 patient tested (57%). Both among patients with and without detection of an activating EGFR mutation, those treated with erlotinib beyond progression had a longer survival.

CONCLUSIONS

In our case-control analysis in long-term erlotinib responders, treatment with TKI beyond progression in addition to chemotherapy or radiotherapy was feasible and lead to prolonged overall survival.

Treatment monitoring program for implementation of adherence to second-line erlotinib for advanced non-small-cell lung cancer

BACKGROUND

Adherence to erlotinib could be a determinant for clinical outcome and treatment toxicity in patients with advanced non-small-cell lung cancer (A-NSCLC).

PATIENTS AND METHODS

In an observational study, the Basel Assessment of Adherence Scale (BAAS), a visual analogue scale (VAS), pill counting, and missed appointment rate were used to evaluate adherence in a first cohort of patients who was prescribed erlotinib without a specifically designed management strategy and in a second cohort of patients followed by an oral treatment monitoring program.

RESULTS

Adherence > 95% by BAAS at 2 months of treatment in the first and second cohorts was 72% and 84%, respectively (P = .042). Adherence by pill counting was 78% and 87% in the first and second cohorts, respectively (P = .0021). Disease control rate (DCR) (complete response [CR] + partial response [PR] + stable disease [SD]) was significantly higher in all patients whose adherence by BAAS at 2 months was ≥ 95% (P = .0266). DCR was higher in the second cohort compared with the first, being 63% (95% confidence interval [CI], 53%-72%) and 44% (95% CI, 30%-58%) in the second and the first cohort, respectively (P = .0368). A significant correlation between the number of adverse events and patient-reported adherence was observed (r = 0.105; P = .0001).

CONCLUSION

Nonadherence may be related to poorer rates of response to erlotinib. Effective interventions to reduce nonadherence need to be implemented.

A clinical-biological risk stratification model for resected gastric cancer: prognostic impact of Her2, Fhit, and APC expression status

BACKGROUND

To obtain a prognostic stratification model for resected gastric cancer patients.

PATIENTS AND METHODS

Clinicopathological and molecular data (expression of Cdx2, Apc, β-catenin, E-cadherin, Fhit, p53, and human epidermal growth factor receptor-2 (Her2); HER2 and TOPO2A gene copy number; PIK3CA mutations; microsatellite instability) were correlated to cancer-specific/overall survival (CSS/OS) using a Cox model. Individual patient probability (IPP) was estimated by logistic equation. A continuous score to identify risk-classes was derived according to the model ratios.

RESULTS

Two-hundred eight patients were studied (median follow-up 20 months). At multivariate analysis, sex, stage, margins, location, nodes, Apc, and Fhit were independent predictors for CSS; the same factors (and age and Her2, except Fhit) predicted OS. Multivariate model predicted IPP with high prognostic accuracy (0.90 for CSS; 0.91 for OS). A two-class model significantly separated low- and high-risk patients for CSS (23.4% and 85.6%, P < 0.0001) and OS (21.4% and 82.0%, P < 0.0001). A three-class model differentiated low-, intermediate-, and high-risk patients for CSS (6.3%, 35.3%, and 88.0%, P < 0.0001) and OS (6.1%, 34.6%, and 86.5%, P < 0.0001).

CONCLUSIONS

A risk classification system comprising the immunohistochemical expression of three proteins (Apc, Fhit, and Her2) and five clinicopathological parameters (stage, resected nodes, margins, location, and sex) accurately separates the resected gastric cancer patients into three classes of risk.

Chemotherapy beyond first-line in stage IV metastatic non-small cell lung cancer

OBJECTIVE

Platinum-based doublet chemotherapy is considered the standard of care for advanced non-small cell lung cancer (NSCLC). However, prognosis after recurrent or progressive disease following first-line chemotherapy is usually poor. Maintenance chemotherapy, second line treatment and even third line chemotherapy are available for patients with advanced NSCLC. Unfortunately, few patients are candidates for chemotherapy beyond first line. The present study evaluated characteristics of patients with NSCLC and outcomes of the treatment of their metastatic disease, with emphasis on second and third-line chemotherapy.

METHODS

This was a retrospective observational study of 2,673 patients with metastatic, stage IV, non-small cell lung cancer admitted for treatment in two São Paulo institutions. First-line chemotherapy was defined as the first chemotherapeutic approach administered to the patient. Second and third-line chemotherapy were defined as the systemic treatment administered after discontinuing first-line chemotherapy, either for intolerance or for progressive or recurrent disease.

RESULTS

Most patients (57.9%) received first-line chemotherapy, and approximately 23.4% received second-line and 8% third-line regimens. Only 2.5% received fourth-line chemotherapy. Median overall survival (OS) was 8 months (95% CI: 8-9 months). At univariate analyses, gender (p < 0.05), histology, first-line chemotherapy, objective response to first-line chemotherapy and second-line chemotherapy (p < 0.01) were prognostic factors related to overall survival. At multivariate analysis, only performance status (p = 0.04), receiving any second-line chemotherapy (p < 0.01) and response to first-line chemotherapy (p < 0.01) were independent predictors of overall survival.

CONCLUSION

Second-line chemotherapy is a therapeutic strategy that should be considered for a selected group of patients. Performance status and response to first-line chemotherapy could be determinant characteristics to select patients who might be treated beyond first-line chemotherapy.

Surveillance of resected non-small cell lung cancer

Lung cancer is the most common cancer in the world. 15 % of all patients with lung cancer are diagnosed at an early stage, and surgery is the treatment of choice for them. 40 % of all patients survive more than 5 years after surgery, and most of them die as a result of systemic disease. Half of all recurrences are diagnosed within the first 24 months after curative treatment, and 90 % in the first 5 years. Despite this, it is not standardized who should do the monitoring, what additional tests are needed and how often should they be performed. We present here a review on the various recommendations in clinical guidelines.

Prognostic factors for second-line treatment of advanced non-small-cell lung cancer: retrospective analysis at a single institution

BACKGROUND

Platinum-based chemotherapy for advanced non-small cell lung cancer (NSCLC) is still considered the first choice, presenting a modest survival advantage. However, the patients eventually experience disease progression and require second-line therapy. While there are reliable predictors to identify patients receiving first-line chemotherapy, very little knowledge is available about the prognostic factors in patients who receive second-line treatments. The present study was therefore performed.

METHODS

We retrospectively reviewed 107 patients receiving second-line treatments from August 2002 to March 2012 in the Dicle University, School of Medicine, Department of Medical Oncology. Fourteen potential prognostic variables were chosen for analysis in this study. Univariate and multivariate analyses were conducted to identify prognostic factors associated with survival.

RESULT

The results of univariate analysis for overall survival (OS) were identified to have prognostic significance: performance status (PS), stage, response to first-line chemotherapy, response to second- line chemotherapy and number of metastasis. PS, diabetes mellitus (DM), response to first-line chemotherapy and response to second-line chemotherapy were identified to have prognostic significance for progression-free survival (PFS). Multivariate analysis showed that PS, response to first-line chemotherapy and response to second- line chemotherapy were considered independent prognostic factors for OS. Furthermore, PS and response to second-line chemotherapy were considered independent prognostic factors for PFS.

CONCLUSION

In conclusion, PS, response to first and second-line chemotherapy were identified as important prognostic factors for OS in advanced NSCLC patients who were undergoing second-line palliative treatment. Furthermore, PS and response to second-line chemotherapy were considered independent prognostic factors for PFS. It may be concluded that these findings may facilitate pretreatment prediction of survival and can be used for selecting patients for the correct choice of treatment.

Prognostic evaluation and choice of second-line treatment for patients with advanced non-small-cell lung cancer

SUMMARY Patients with progressive disease after first-line treatment for advanced non-small-cell lung cancer have a limited life expectancy. In the second-line setting, a better understanding of prognostic factors and the availability of a prognostic score can contribute to a sensible evaluation of the risks and benefits associated with treatment. We previously showed that the prognosis of patients receiving second-line treatment is significantly conditioned by gender, performance status, histology, stage, previous platinum use and response to first-line treatment. A prognostic score based on these factors allows for the classification of patients into three categories. The score is simple to calculate because all of the variables considered are routinely collected as part of the baseline clinical evaluation of patients. For the majority of non-small-cell lung cancer patients, in the absence of known molecular predictive factors, the choice of second-line treatment among drugs with demonstrated efficacy should necessarily take into account prognosis and the risk:benefit ratio of patients.

Prognostic score for second-line chemotherapy of advanced non-small-cell lung cancer: external validation in a phase III trial comparing vinflunine with docetaxel

A prognostic index for second-line chemotherapy of NSCLC was previously developed, based on individual patient data (IPD) of nine randomized trials. In order to validate the prognostic score in an external dataset, we analysed IPD of a non-inferiority phase III trial comparing vinflunine vs. docetaxel in second-line treatment of advanced NSCLC. Primary endpoint of this analysis was overall survival (OS). The following variables were considered for survival analysis and score calculation: gender, performance status, stage of disease, tumour histology, type of first-line treatment, response to first-line treatment. Cox model, stratified by treatment arm, was used for multivariate analysis. Individual prognostic scores were derived, and patients were divided into 3 categories: <5 (best), 5-9 (intermediate), >9 (worst). All 551 patients enrolled in the trial had complete information for the calculation of prognostic score. Median OS in the whole group was 6.9 months, with similar efficacy in the two treatment arms. Median OS was 12.9, 6.9 and 3.8 months in the best, intermediate and worst category, respectively. Cox model showed a significant effect comparing intermediate vs. best category (Hazard Ratio 1.79, 95%CI 1.31-2.47, p=0.0003) and comparing worst vs. best category (Hazard Ratio 3.25, 95%CI 2.18-4.83, p<0.0001). The C-index of the model was high (0.926), indicating a good discrimination according to the proposed three risk categories. Prognostic ability of our score for candidates to second-line treatment in advanced NSCLC was successfully validated, allowing the identification of subgroups of patients with more vs. less favourable outcome. Prognostic score could be useful in daily decision-making in clinical practise, because a better understanding of factors conditioning life expectancy of patients could greatly help a careful evaluation of risks and benefits associated with therapeutic decisions.