Survival In Small Cell Lung Cancer Research Articles

Epigenetic reprogramming in small cell lung cancer

Small cell lung cancer (SCLC), a highly lethal lung cancer sub-type with distinct neuroendocrine-like features, accounts for 10%–15% of all lung cancers. The overall 5-year survival rate remains less than 10%. SCLC is characterized by early metastasis, thus minimizing the potential patient benefits of surgery. In recent decades, the first-line treatment for SCLC has remained chemotherapy combining etoposide and cisplatin (E/P). Despite high rates of response to E/P treatment, SCLC eventually relapses and is almost universally resistant to treatment at recurrence, thus making SCLC a recalcitrant malignancy. Moreover, the limited knowledge regarding the molecular mechanisms underlying SCLC metastasis and resistance greatly hinders improvements in overall SCLC survival. To better understand the molecular mechanisms of SCLC and discover potential therapeutic targets, extensive efforts have continued for decades. Recently, several studies have implicated epigenetic modifications, including histone modifications, DNA methylation, and chromatin accessibility, in SCLC. NFIB has been documented to promote SCLC metastasis through a widespread increase in chromatin accessibility1. Of particular note, one recent study has indicated that KMT2C deficiency promotes SCLC metastasis through DNMT3A-mediated epigenetic reprogramming involving both histone and DNA hypomethylation2. These studies have revealed that epigenetic reprogramming plays an important role in SCLC. In this review, we summarize and discuss the advances in basic and translational research in SCLC, which have revealed the functional and targetable roles of epigenetic modifications during tumorigenesis, metastasis, and chemoresistance.

AKT phosphorylation as a predictive biomarker for PI3K/mTOR dual inhibition-induced proteolytic cleavage of mTOR companion proteins in small cell lung cancer

BackgroundConstitutive activation of PI3K signaling has been well recognized in a subset of small cell lung cancer (SCLC), the cancer type which has the most aggressive clinical course amongst pulmonary tumors. Whereas cancers that acquire a mutation/copy gain in PIK3CA or loss of PTEN have been implicated in enhanced sensitivity to inhibitors targeting the PI3K/AKT/mTOR pathway, the complexities of the pathway and corresponding feedback loops hamper clear predictions as to the response of tumors presenting these genomic features.MethodsThe correlation between the expression profile of proteins involved in the PI3K/AKT/mTOR signaling and cell viability in response to treatment with small molecule inhibitors targeting isoform-specific PI3Ks, AKT, and mTOR was assessed in 13 SCLC cancer cell lines. Athymic nude mice were used to determine the effect of PI3K/mTOR dual inhibition on the growth of xenograft SCLC tumors in vivo. The activation of caspase signaling and proteolytic cleavages of mTOR companion proteins were assessed using recombinant caspases assays and Western blot analyses.ResultsOur results indicate that the sensitivity of these SCLC cell lines to GSK2126458, a dual PI3K/mTOR inhibitor, is positively correlated with the expression levels of phosphorylated AKT (p-AKT) at Thr308 and Ser473. Inhibition of pan-class I PI3Ks or PI3K/mTOR dual inhibition was shown to induce proteolytic cleavage of RICTOR and RPTOR, which were respectively dependent on Caspase-6 and Caspase-3. A combination of a clinically approved PI3Kα-selective inhibitor and an mTORC1 inhibitor was shown to have synergistic effects in inducing the death of SCLC cells with high p-AKT. We observed no clear correlation between PTEN levels and the survival of SCLCs in response to PI3K/mTOR dual inhibition; however, PTEN depletion was shown to increase the susceptibility of low p-AKT SCLC cells to dual PI3K/mTOR inhibitor-induced cell death as well as the proteolytic cleavage of RICTOR.ConclusionsThese results suggest the level of p-AKT can be a companion diagnostic biomarker for the treatment of SCLC involving the combinational use of clinically approved isoform-specific PI3K and mTOR inhibitors.

The Construction and Validation of Nomogram to Predict the Prognosis with Small-Cell Lung Cancer Followed Surgery.

Simple SummaryThe therapeutic effect of postoperative radiotherapy for small-cell lung cancer (SCLC) patients with limited stage remained unclear. The aim of this retrospective study was to construct and validate a nomogram to assess the prognosis of small-cell lung cancer patients followed surgery in a large cohort (882 patients) which involved patients from Shanghai Pulmonary Hospital and the Surveillance, Epidemiology and End Results database. The nomogram derived from the training cohort achieved good predictive ability and could discriminate low- and high-risk subgroups in four cohorts. Postoperative radiotherapy promoted survival for high-risk patients but had little effect on low-risk patients. Moreover, by subgroup analysis based on the N stage, we suggested that N2 patients in the high-risk subgroup could benefit more from postoperative radiotherapy. Therefore, our nomogram might help with clinical decisions on the strategy of postoperative radiotherapy for SCLC patients.This study constructed and validated a prognostic model to evaluate the survival of small-cell lung cancer (SCLC) patients following surgery, and shed light on the strategy of postoperative radiotherapy. A total of 882 patients from Shanghai Pulmonary Hospital and the Surveillance, Epidemiology and End Results database after lung resection were selected. Multivariable Cox analysis was used to identify the indicators affecting long-term survival in patients. A nomogram was constructed to predict the prognosis of eligible patients. Indices of concordance (C-index) was used to access the predictive ability of cancer-specific survival (CSS) for the prognostic model. CSS discrimination in the prognostic model was comparable in the training and validation cohorts (C-index = 0.637[NORAD-T], 0.660[NORAD-V], 0.656[RAD] and 0.627[our hospital], respectively. Stratification based on the cutoff value of the nomogram yielded low- and high-risk subgroups in four cohorts. For patients in the high-risk group, postoperative radiotherapy was considered a survival-promoting strategy (unadjusted HR 0.641, 95% CI 0.469–0.876, p = 0.0046). In the low-risk group, however, the implementation of radiotherapy barely had an influence on CSS. In conclusion, the nomogram we constructed and validated could predict the prognosis of SCLC patients followed surgery and identify high-risk patients who were likely to benefit from postoperative radiotherapy.

Clinical characteristics and outcomes of extrapulmonary small cell cancer: A retrospective analysis of the SEER database.

e20616 Background: Extrapulmonary small cell cancer (EPSCC) accounts for only 5-10% of small cell carcinoma, with the rest consisting of small cell lung cancer (SCLC). The incidence of this entity has been rising due to better diagnosis, however it is not well described and data is limited. We performed a Surveillance, Epidemiology and End Results (SEER) database analysis to further characterize the biology and clinical aspects of this entity, in comparison to SCLC. Methods: The Surveillance, Epidemiology and End Results (SEER) 18 database was used to obtain data on age, gender, ethnicity, survival, and tumor characteristics of n = 9,712 US patients diagnosed with EPSCC between 2000-2018 and these were compared to n = 118,514 patients with SCLC diagnosed during the same period. Results: Among the EPSCC cohort 58.1 % were males while in the SCLC cohort 50.3% were males. Median age of diagnosis was 65.50 years for EPSCC and 66.81years for SCLC. Among the EPSCC patients, 75.9 % were Caucasians, 9.2 % were African-Americans, and 8.8% were Hispanics. Amongst SCLC patients, Caucasians made up 83.1% of the patients, while African-Americans made up 8.6% and Hispanics made up 4.5 % of the patients. Most common sites for EPSCC were urinary bladder (20.2%), prostate (7%), cervix uteri (6.2%), pancreas (4.5%), rectum (3%), and ovaries (2.6%). Median OS for EPSCC was 8 months (95% CI: 8 - 8), while median overall survival for SCLC was 7 month (95% CI: 7 - 7). Hazard ratio for death for EPSCC: 0.77 (95% CI: 0.75 - 0.79), p < 0.001. The survival at 12 months, 24 months and 60 months was 36%, 22%, and 13 % for EPSCC and 29%, 13%, and 5% for SCLC. There were no significant gender or racial differences in overall survival (OS). Conclusions: EPSCC has better overall and 5-year survival as compared to SCLC. There are no significant differences in survival outcomes in EPSCC patients based on location of primary, gender or race.

Validation of Pretreatment Prognostic Factors and Prognostic Staging Systems for Small Cell Lung Cancer in a Real-World Data Set.

Simple SummaryWe present an analysis of a real-world cohort of patients with small cell lung cancer (SCLC) and examine the value of prognostic factors and scores that have been published in recent decades. In our analysis, only a few clinical (age, tumor stage) and a single laboratory parameter (alkaline phosphatase) are associated with the prognosis of patients with SCLC. We could not confirm the prognostic role of most of the published complex prognostic scores.Treatment decisions in patients with small cell lung cancer (SCLC) are made based on the extent of the disease. However, the outcome varies among patients at the same stage. A simple tool to predict outcomes in SCLC patients would be helpful for clinical decision-making. In recent years, several prognostic scores have been proposed. In this study, we evaluated the different prognostic factors in an unselected real-world cohort of patients. We retrospectively collected clinical, radiological and laboratory data from 92 patients diagnosed with SCLC. Univariate and multivariate cox regression analyses of survival were performed to assess the prognostic value of relevant clinical and laboratory factors for SCLC. Furthermore, we examined the association between eight published prognostic scores for SCLC and overall survival (OS). In the overall cohort, the median OS was 10.3 months (20.9 months and 9.2 months for limited disease (LD) SCLC and extensive disease (ED) SCLC, respectively). In univariate analysis, initial staging, number of metastatic sites and presence of liver, bone and adrenal gland metastases were significantly associated with worse OS. Of the established laboratory markers, albumin, alkaline phosphatase and hyponatremia but not lactate dehydrogenase (LDH) significantly predicted OS. All published prognostic scores, with the exception of the Glasgow Prognostic Score, did not significantly predict OS. In multivariate analysis, age, staging and alkaline phosphatase serum levels showed significant association with OS. We could not confirm the prognostic significance of most of the published complex prognostic scores. We therefore recommend using simple clinical and laboratory factors instead of complex scores to estimate the prognosis of SCLC patients in clinical practice.

Graded Prognostic Assessment (GPA) for Patients With Lung Cancer and Brain Metastases: Initial Report of the Small Cell Lung Cancer GPA and Update of the Non-Small Cell Lung Cancer GPA Including the Effect of Programmed Death Ligand 1 and Other Prognostic Factors

Patients with lung cancer and brain metastases represent a markedly heterogeneous population. Accurate prognosis is essential to optimally individualize care. In prior publications, we described the graded prognostic assessment (GPA), but a GPA for patients with small cell lung cancer (SCLC) has never been reported, and in non-small cell lung cancer (NSCLC), the effect of programmed death ligand 1 (PD-L1) was unknown. The 3-fold purpose of this work is to provide the initial report of an SCLC GPA, to evaluate the effect of PD-L1 on survival in patients with NSCLC, and to update the Lung GPA accordingly. A multivariable analysis of prognostic factors and treatments associated with survival was performed on 4183 patients with lung cancer (3002 adenocarcinoma, 611 nonadenocarcinoma, 570 SCLC) with newly diagnosed brain metastases between January 1, 2015, and December 31, 2020, using a multi-institutional retrospective database. Significant variables were used to update the Lung GPA. Overall median survival for lung adenocarcinoma, SCLC, and nonadenocarcinoma was 17, 10, and 8 months, respectively, but varied widely by GPA from 2 to 52 months. In SCLC, the significant prognostic factors were age, performance status, extracranial metastases, and number of brain metastases. In NSCLC, the distribution of molecular markers among patients with lung adenocarcinoma and known primary tumor molecular status revealed alterations/expression in PD-L1 50% to 100%, PD-L1 1% to 49%, epidermal growth factor receptor, and anaplastic lymphoma kinase in 32%, 31%, 30%, and 7%, respectively. Median survival of patients with lung adenocarcinoma and brain metastases with 0, 1% to 49%, and ≥50% PD-L1 expression was 17, 19, and 24 months, respectively (P < .01), confirming PD-L1 is a prognostic factor. Previously identified prognostic factors for NSCLC (epidermal growth factor receptor and anaplastic lymphoma kinase status, performance status, age, number of brain metastases, and extracranial metastases) were reaffirmed. These factors were incorporated into the updated Lung GPA with robust separation between subgroups for all histologies. Survival for patients with lung cancer and brain metastases has improved but varies widely. The initial report of a GPA for SCLC is presented. For patients with NSCLC-adenocarcinoma and brain metastases, PD-L1 is a newly identified significant prognostic factor, and the previously identified factors were reaffirmed. The updated indices establish unique criteria for SCLC, NSCLC-nonadenocarcinoma, and NSCLC-adenocarcinoma (incorporating PD-L1). The updated Lung GPA, available for free at brainmetgpa.com, provides an accurate tool to estimate survival, individualize treatment, and stratify clinical trials.

Circulating Levels of the Cardiovascular Biomarkers ST2 and Adrenomedullin Predict Outcome within a Randomized Phase III Lung Cancer Trial (RASTEN).

Simple SummaryCardiovascular disease is common in patients with small cell lung cancer, partly reflecting its high correlation with smoking. Cardiovascular comorbidities may limit patient tolerance to cytotoxic drugs, thereby influencing the choice and intensity of treatment and, ultimately, patient survival. In light of the challenges relating to assessing cardiovascular status clinically in newly diagnosed lung cancer, objective biomarkers of cardiovascular vulnerability are warranted. Here, we show that circulating levels of ST2, an established biomarker in heart failure, and adrenomedullin, a vasodilator peptide known to reflect several aspects of cardiovascular status, strongly correlate with survival in small cell lung cancer. Our data, which are based on a large, randomized trial cohort, suggest the potential use of cardiovascular biomarkers in guiding clinicians in making individualized treatment decisions.Cardiovascular comorbidity is common in small cell lung cancer (SCLC) and may significantly affect treatment tolerability and patient outcome. Still, there are no established biomarkers for objective and dynamic assessment as a tool for improved treatment decisions. We have investigated circulating levels of midregional-pro-adrenomedullin (MR-proADM), midregional-pro-atrial-natriuretic peptide (MR-proANP), copeptin (surrogate for vasopressin) and suppression-of-tumorigenicity-2 (ST2), all known to correlate with various aspects of cardiovascular function, in a SCLC cohort (N = 252) from a randomized, controlled trial (RASTEN). For all measured biomarkers, protein levels were inversely associated with survival, particularly with ST2 and MR-proADM, where the top versus bottom quartile was associated with an adjusted hazard ratio of 2.40 (95% CI 1.44–3.98; p = 0.001) and 2.18 (95% CI 1.35–3.51; p = 0.001), respectively, in the entire cohort, and 3.43 (95% CI 1.73–6.79; p < 0.001) and 3.49 (95% CI 1.84–6.60; p < 0.001), respectively, in extensive disease patients. A high combined score of MR-proADM and ST2 was associated with a significantly reduced median OS of 7.0 months vs. 14.9 months for patients with a low combined score. We conclude that the cardiovascular biomarkers MR-proADM and ST2 strongly correlate with survival in SCLC, warranting prospective studies on the clinical utility of MR-proADM and ST2 for improved, individualized treatment decisions.

Postdiagnosis BMI Change Is Associated with Non-Small Cell Lung Cancer Survival.

Body mass index (BMI) change after a lung cancer diagnosis has been associated with non-small cell lung cancer (NSCLC) survival. This study aimed to quantify the association based on a large-scale observational study. Included in the study were 7,547 patients with NSCLC with prospectively collected BMI data from Massachusetts General Hospital and Brigham and Women's Hospital/Dana-Farber Cancer Institute. Cox proportional hazards regression with time-dependent covariates was used to estimate effect of time-varying postdiagnosis BMI change rate (% per month) on overall survival (OS), stratified by clinical subgroups. Spline analysis was conducted to quantify the nonlinear association. A Mendelian Randomization (MR) analysis with a total of 3,495 patients further validated the association. There was a J-shape association between postdiagnosis BMI change and OS among patients with NSCLC. Specifically, a moderate BMI decrease [0.5-2.0; HR = 2.45; 95% confidence interval (CI), 2.25-2.67] and large BMI decrease (≥2.0; HR = 4.65; 95% CI, 4.15-5.20) were strongly associated with worse OS, whereas moderate weight gain (0.5-2.0) reduced the risk for mortality (HR = 0.78; 95% CI, 0.68-0.89) and large weight gain (≥2.0) slightly increased the risk of mortality without reaching statistical significance (HR = 1.10; 95% CI, 0.86-1.42). MR analyses supported the potential causal roles of postdiagnosis BMI change in survival. This study indicates that BMI change after diagnosis was associated with mortality risk. Our findings, which reinforce the importance of postdiagnosis BMI surveillance, suggest that weight loss or large weight gain may be unwarranted.

ES11.02 Advances in Thoracic Radiation in SCLC

ES11.02 Advances in Thoracic Radiation in SCLC

Arginase Pathway Markers of Immune-Microenvironment in Thymic Epithelial Tumors and Small Cell Lung Cancer

BackgroundKey regulators of antitumor immunity such as arginase-1 and the adenosine pathway may have an important role in modulating the effect of immunotherapy. Here, we investigated the expression profile of these immune-related biomarkers in thymic epithelial tumors (TETs) and small cell lung cancer (SCLC), 2 solid tumors where immune checkpoint inhibitors have activity. Materials and MethodsImmunohistochemical staining was performed using tissue microarrays of 123 TET (110 thymoma and 13 thymic carcinoma) and 125 SCLC cases. The expression profile of the following immune-related biomarkers was assessed: arginase-1, CD39, CD73, A2AR, PD-L2, and CD15. The expression profile was also correlated with clinical data. ResultsNo sample was positive for arginase-1. In the adenosine pathway, the prevalence of positive staining for CD39, CD73, and A2AR was 4.9%, 2.5%, and 69.2%, in TETs and 0%, 1.7%, and 50.8%, in SCLC. The multivariate analysis showed that CD39 expression was significantly associated with worse disease related survival (hazard ratio [HR], 10.36; 95% confidence interval [CI]: 2.01-53.47; P= .005) and a shorter time-to progression (HR, 11.35; 95% CI, 2.11-61.23; P = .005) in TETs. Other biomarkers were not associated with disease related survival or time to progression in TETs. No biomarker was associated with survival in SCLC. ConclusionArginase-1 was not detectable in TETs and SCLC. Expression of markers in the adenosine pathway were present in both TETs and SCLC. CD39 expression in tumor cells may identify subsets of patients with TETs with an unfavorable prognosis.

The impact of reclassifying cancers of unspecified histology on international differences in survival for small cell and non-small cell lung cancer (ICBP SurvMark-2 project).

Survival from lung cancer remains low, yet is the most common cancer diagnosed worldwide. With survival contrasting between the main histological groupings, small-cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), it is important to assess the extent that geographical differences could be from varying proportions of cancers with unspecified histology across countries. Lung cancer cases diagnosed 2010-2014, followed until 31 December 2015 were provided by cancer registries from seven countries for the ICBP SURVMARK-2 project. Multiple imputation was used to reassign cases with unspecified histology into SCLC, NSCLC and other. One-year and three-year age-standardised net survival were estimated by histology, sex, age group and country. In all, 404 617 lung cancer cases were included, of which 47 533 (11.7%) and 262 040 (64.8%) were SCLC and NSCLC. The proportion of unspecified cases varied, from 11.2% (Denmark) to 29.0% (The United Kingdom). After imputation with unspecified histology, survival variations remained: 1-year SCLC survival ranged from 28.0% (New Zealand) to 35.6% (Australia) NSCLC survival from 39.4% (The United Kingdom) to 49.5% (Australia). The largest survival change after imputation was for 1-year NSCLC (4.9 percentage point decrease). Similar variations were observed for 3-year survival. The oldest age group had lowest survival and largest decline after imputation. International variations in SCLC and NSCLC survival are only partially attributable to differences in the distribution of unspecified histology. While it is important that registries and clinicians aim to improve completeness in classifying cancers, it is likely that other factors play a larger role, including underlying risk factors, stage, comorbidity and care management which warrants investigation.

Combination of quantitative features from H&amp;E biopsies and CT scans predicts response to chemotherapy and overall survival in small cell lung cancer (SCLC).

8572 Background: Small Cell Lung Cancer (SCLC) is an aggressive malignancy with a rapid growth, and Chemotherapy remains mainstay of treatment. Identifying therapeutic targets in SCLC presents a challenge, partially due to a lack of accurate and consistently predictive biomarkers. In this study we sought to evaluate the utility of a combination of computer-extracted radiographic and pathology features from pretreatment baseline CT and H&amp;E biopsy images to predict sensitivity to platinum-based chemotherapy and overall survival (OS) in SCLC. Methods: Seventy-eight patients with extensive and limited-stage SCLC who received platinum-doublet chemotherapy were selected. Objective response to chemotherapy (RECIST criteria) and overall survival (OS) as clinical endpoints were available for 51 and 78 patients respectively. The patients were divided randomly into two sets (Training (Sd), Validation (Sv)) with a constraint (equal number of responders and nonresponders in Sd)—Sd comprised twenty-one patients with SCLC. Sv included thirty patients. CT scans and digitized Hematoxylin Eosin-stained (H&amp;E) biopsy images were acquired for each patient. A set of CT derived (46%) and tissue derived (53%) image features were captured. These included shape and textural patterns of the tumoral and peritumoral regions from CT scans and of tumor regions on H&amp;E images. A random forest feature selection and linear regression model were used to identify the most predictive CT and H&amp;E derived image features associated with chemotherapy response from Sd. A Cox proportional hazard regression model was used with these features to compute a risk score for each patients in Sd. Patients in Sv were stratified into high and low-risk groups based on the median risk score. Kaplan-Meier survival analysis was used to assess the prognostic ability of the risk score on Sv. Results: The risk score comprised nine CT (intra and peri-tumoral texture) and six H&amp;E derived (cancer cell texture and shape) features. A linear regression model in conjunction with these 15 features was significantly associated with chemo-sensitivity in Sv (AUC = 0.76, PRC = 0.81). A multivariable model with these 15 features was significantly associated with OS in Sv (HR = 2.5, 95% CI: 1.3-4.9, P = 0.0043). Kaplan-Meier survival analysis revealed a significantly reduced OS in the high-risk group compared to the low-risk group. Conclusions: A combined CT and H&amp;E tissue derived image signature model predicted response to chemotherapy and improved OS in SCLC patients. Image features from baseline CT scans and H&amp;E tissue slide images may help in better risk stratification of SCLC patients. Additional independent validation of these quantitative image-based biomarkers is warranted.

The effect and safety of anlotinib combined with irinotecan or docetaxel in small-cell lung cancer (SCLC) relapsed within six months: A single-arm phase I study.

e20583 Background: Current standard of care for SCLC relapsed within six months after first-line treatment was mainly chemotherapy alone, such as irinotecan or docetaxel, of which the clinical benefit is unsatisfactory. Anlotinib, a novel oral multi-target tyrosine kinase inhibitor primarily targeting VEGFR2/3, FGFR1-4, PDGFRα/β and c-Kit, significantly improved progression-free survival (PFS) and overall survival (OS) for SCLC in third-line setting and beyond treatment (ALTER1202 trial). Here, we conducted a single-arm phase II trial to evaluate the efficacy and safety of anlotinib combined with irinotecan or docetaxel in SCLC relapsed within six months after first-line treatment. Methods: Eligible patients with cytologically or histologically confirmed SCLC, aged 18-75 years, ECOG PS 0-1, relapsed within six months after first-line platinum-based treatment, received anlotinib (12mg, QD, from day 1 to 14 of a 21-day cycle) combined with irinotecan (65mg/m2, day1,8, q3w, up to 4 cycles) or docetaxel (60mg/m2, q3w, up to 4 cycles) until disease progression or intolerable toxicity. The primary endpoint was the objective response rate (ORR). Secondary endpoints included PFS, the disease control rate (DCR), OS and safety. Results: Between March 2020 and February 2021, 21 patients with a median age of 61.7 years, male (76.2%), ECOG PS 1 (81.0%), brain metastasis (42.9%), liver metastasis (38.1%), were enrolled in this trial. At data cut-off (February 8, 2021), 15 patients were evaluable, among which 5 patients reached partial response (PR) and 8 had stable disease (SD). The ORR was 33.3% (5/15) and the DCR was 86.7% (13/15), respectively. The median PFS was 4.0 months (95%Cl: 3.18-4.83). The most common grade 1-2 treatment-related adverse events (TRAEs) were weakness (64.7%), anorexia (41.2%), anemia (29.4%), hypertension (23.5%), leukopenia (17.6%), oral mucositis (17.6%). Grade 3 TRAEs mainly included leukopenia (11.8%), thrombocytopenia (11.8%) and anemia (5.9%). There were no grade 4 or higher toxicities. Conclusions: Anlotinib combined with irinotecan or docetaxel showed promising ORR, DCR and PFS in SCLC relapsed within six months after first-line platinum-based treatment and was well-tolerated. No unexpected toxicities were observed. Further exploration and longer follow-up are ongoing. Clinical trial information: NCT04757779.

Combining Lactate Dehydrogenase and Fibrinogen: Potential Factors to Predict Therapeutic Efficacy and Prognosis of Patients with Small-Cell Lung Cancer.

BackgroundA growing interest exists in identifying reliable and low-cost biomarkers or factors that could predict the therapeutic response, prognosis, recurrence, and survival in small-cell lung cancer (SCLC). This study aimed to investigate the better predictors of chemotherapy efficacy and prognosis in patients with SCLC receiving first-line chemotherapy and radiotherapy.Materials and MethodsThis study retrospectively retrieved the medical records of patients with SCLC treated with first-line platinum-based chemotherapy and radiotherapy from January 2016 to June 2019 in the First Affiliated Hospital of Nanjing Medical University. Plasma biochemical parameters, clinical features, and overall survival (OS) time were collected. The independent effects of plasma parameters on patient survival were assessed by conducting univariate and multivariate Cox regression analyses. The optimal cut-off values of independent risk factors in the ROC curve and Kaplan–Meier survival analysis were determined using MedCalc software.ResultsStatistically significant differences in lactate dehydrogenase (LDH) and fibrinogen (Fbg) were found between the complete remission + partial remission group and the non-responders, which consisted of stable-disease and progressive-disease groups, after first-line chemotherapy. Multivariate Cox regression analysis showed that LDH and Fbg were independent risk factors in predicting PFS (LDH HR: 1.013, 95% CI: 1.002–1.030, P = 0.037; Fbg HR: 1.622, 95% CI: 1.094–2.526, P = 0.017) and OS (LDH HR: 1.021, 95% CI: 1.008–1.034, P = 0.001; Fbg HR: 2.168, 95% CI: 1.324–3.550, P = 0.002). The AUC of LDH and Fbg was 0.77 and 0.745, respectively. The cut-off value of LDH and Fbg in predicting OS was 263 U/L and 4.03 g/L. When these two data were combined, the AUC reached 0.832, better than that of LDH and Fbg alone. The objective response rate (ORR) and OS were significantly different among these three different groups according to the addition of the assigned value (P < 0.05).ConclusionCombined retreatment serum LDH and Fbg levels may be a better potential biomarker for predicting the clinical efficacy of chemotherapy and the prognosis of individuals with SCLC. Combining these two parameters could improve prediction efficacy.

Metabolic Health Together with a Lipid Genetic Risk Score Predicts Survival of Small Cell Lung Cancer Patients.

Simple SummaryDespite the progress in surgery and therapies, small cell lung cancer (SCLC) is still one of the most lethal types of cancer. The disease control remains heterogeneous and consequently, the ability to predict patient survival would be of great clinical value. Here, we propose for the first time, a metabolic precision approach for SCLC patients. We found that a healthy metabolic status contributes to increasing SCLC survival. Moreover, we discovered that two lipid metabolism-related genes, racemase and perilipin 1, and a genetic risk score of both genes, predict better SCLC survival. Our results show that a metabolic scenario characterized by metabolic health, lipid gene expression and environmental factors, is crucial for increase SCLC survival.Small cell lung cancer (SCLC) prognosis is the poorest of all types of lung cancer. Its clinical management remains heterogeneous and therefore, the capability to predict survival would be of great clinical value. Metabolic health (MH) status and lipid metabolism are two relevant factors in cancer prevention and prognosis. Nevertheless, their contributions in SCLC outcome have not yet been analyzed. We analyzed MH status and a transcriptomic panel of lipid metabolism genes in SCLC patients, and we developed a predictive genetic risk score (GRS). MH and two lipid metabolism genes, racemase and perilipin 1, are biomarkers of SCLC survival (HR = 1.99 (CI95%: 1.11–3.61) p = 0.02, HR = 0.36 (CI95%: 0.19–0.67), p = 0.03 and HR = 0.21 (CI95%: 0.09–0.47), respectively). Importantly, a lipid GRS of these genes predict better survival (c-index = 0.691). Finally, in a Cox multivariate regression model, MH, lipid GRS and smoking history are the main predictors of SCLC survival (c-index = 0.702). Our results indicate that the control of MH, lipid gene expression and environmental factors associated with lifestyle is crucial for increased SCLC survival. Here, we propose for the first time, a metabolic precision approach for SCLC patients.

FP10.01 Survival in Advanced SCLC: Projected Impact of Immuno-Oncology-Associated Durable Response on Population Health Gains in US

Historically, prognosis for patients with metastatic small cell lung cancer (SCLC) treated with chemotherapeutic agents has been poor. Immuno-oncology (I-O) therapies, such as nivolumab and ipilimumab, have been associated with improved response and durable survival in SCLC. Healthcare decision-makers considering reimbursement are required to balance expected treatment costs with predicted lifetime costs and health outcomes. These predictions are sensitive to the proportion of I-O treated patients achieving a durable response; however, this information is typically unavailable at the time of decision-making. Consequently, the objective of this study was to quantify historical age-specific US SCLC survival rates and compare these with expected I-O survival for a range of clinically plausible durable response rates. Overall survival (OS) for patients with metastatic SCLC between 2010-2015 were derived from the Surveillance, Epidemiology, and End Results (SEER) database stratified by age at diagnosis (40-90 years). OS for patients receiving I-O therapy was based on those with recurrent SCLC from the nivolumab arm of the Checkmate-032 study. Mean OS was estimated using a delayed mixture model, applying a piecewise exponential and assuming a fraction of patients surviving at the end of the 26 month follow-up period (∼21% patients) achieved a durable response. A plausible base case fraction was derived using long term follow-up of patients treated with nivolumab in NSCLC, indicating a 10% durable response fraction. For those achieving a durable response background general population mortality was applied. Incremental survival was estimated by comparing historical outcomes (SEER) to long-term survival estimates for patients receiving I-O therapy. Estimates of incremental survival benefit were extrapolated to the US population using age-adjusted incidence data for patients with advanced (stage III/IV) disease. Age-adjusted incidence data was applied to all incident patients to assess the potential population health gains associated with I-O therapy. Historic diagnosis with advanced SCLC (SEER) was associated with an expected survival of 8.4 months (baseline age: 70 years). By contrast, mean OS in I-O treated patients was estimated to be 29.5 months, equivalent to incremental survival gains of 21.2 months. At ages 40 and 90 real-world benchmark expected survival was 12.3 months and 4.0 months respectively, I-O-treated mean OS ranged between 62.2 months (49.9 month gain at age 40) and 13.3 months (9.3 month gain at age 90) for the 10% of patients surviving and achieving a durable response after 26 months of follow up. Applying age-adjusted incremental survival estimates to the incident SCLC population (13,570 patients) was associated with a potential gain of 27 thousand life years, with more pronounced gains in life expectancy in younger compared with older cohorts. Patients with recurrent SCLC have historically experienced few treatment options and poor outcomes. Potential health gains associated with I-O therapies are significant at both the patient and population level but should account for age to avoid bias and improve accuracy. This study quantifies expected OS gains associated with I-O therapy using a remission rate based on trial data designed to assist decision-makers’ expertise when considering the robustness of predicted survival estimates.

P50.10 Intravenous (IV) versus IV/oral route of etoposide administration: impact on real-world SCLC survival outcomes

Platinum-etoposide doublet (PE) is the recommended first-line (1L) chemotherapy for small cell lung cancer (SCLC). Evidence shows that oncology patients prefer oral treatment to IV. This study compared outcomes between 1L intravenous (IV), and IV followed by oral (IV/oral) route of etoposide administration in real-world SCLC patients in Alberta, Canada. SCLC patients who were diagnosed between 2010 and 2016 and completed 1L etoposide at an academic tertiary cancer centre, (Tom Baker Cancer Centre) were included. Data were retrieved from the Glans-Look database excluding those with mixed histology. Outcomes explored included, a] overall survival, (OS), the time in months from diagnosis date to death/last contact, b] tumor objective response rate (ORR), the complete and partial responses as defined by the RECIST v1.1 criteria, using diagnostic imaging reports within 4-8 weeks post 1L or as reported in oncologist progress notes, and c] 1L-related toxicity rate, derived from progress notes, graded using the CTCAE criteria (version 5). Also measured was the progression free survival (PFS): time difference in months from diagnosis date to first progression post 1L or death, whichever occurs first. Comparison between IV/oral and IV groups was performed using Fisher’s Exact (point estimates), Log-Rank tests (Kaplan-Meier survival estimates) and Cox proportional hazard model (survival outcome predictors). A priori statistical significance was p < 0.05. Analyses were performed using SPSS statistical software (version 25). There were 222 patients, 1L was mostly PE [93%] employing etoposide in combination with cisplatin [61%] or carboplatin [32%]. 168 [76%] were IV/oral group. Median age was 66 years, 132 [60%] female, and 138 [62%] had extensive stage SCLC (ES). Performance status (ECOG) was 0-2 in 112 (51%), ≥3 in 9 (4%) and unknown in 101 (46%) patients. IV and IV/oral patients have similar characteristics, but compared to IV/oral, the IV group had less limited stage disease (LS), [p=0.28]. 100 patients experienced grade 3 or 4 toxicities, mainly neutropenia [83%]. The rates were similar for IV/oral versus IV group, p= 0.36. Stratified by stage however, toxicity from IV was greater in LS than ES patients [60 vs 39%]. Overall, ORR for IV/oral versus IV group was 71% vs 66%, [p=0.85]. Within stage, ORR was 79 vs. 89% in LS [p< 0.01] and 58 vs 71% in ES [p=0.23], IV/oral relative to IV group. There was no statistically significant difference in PFS or OS with IV/oral relative to IV groups [PFS: 14 vs 12 months for LS; both 6 months for ES; OS: 32 vs 25 mo. for LS; 12 vs 14 mo. for ES]. Predictors of favorable survival include presence of grade 3 or 4 toxicity in LS [HR= 0.45, p=0.03] and second-line chemotherapy receipt in ES [HR= 0.46, p<0.01]. Consistent with previous reports, we found high oral treatment rate in real-world SCLC patients and no statistically significant differences in SCLC survival outcomes comparing IV/oral versus IV group. Future studies may explore why severe chemotherapy-related toxicity (grade 3 or 4) in LS patients predicts favorable survival.

The frequency of hyponatremia during the course of small cell lung cancer and its effect on prognosis

BACKGROUND AND AIM: Small‑cell lung cancer (SCLC) is fast‑growing disease with high mortality and prognosis is worse when hyponatremia develops. In our study, we aimed to determine the frequency of hyponatremia in SCLC and the relationship with the prognosis. MATERIALS AND METHODS: Patients diagnosed with SCLC between 2012 and 2017 were retrospectively screened. Stages, hyponatremia levels, and survival times were recorded. RESULTS: A total of 466 patients diagnosed with SCLC, 423 (90.8%) of whom were male were included in the study. The average age was 67 ± 10 years. About 126 (27%) of the patients were hyponatremic and 340 (73%) were normonatremic. Hypertonic saline treatment was performed in 52 (41.3%) patients. In total, hyponatremia improved in 49.2% (n = 62). While the expected survival means were 12.6 months in those with improved hyponatremia, 5.0 months in those with not improved, and 12.3 months in the normonatremic group. Survival in the group of whom hyponatremia could not be corrected was found to be statistically different (P < 0.05). CONCLUSION: The improvement of hyponatremia was found to be a positive independent factor on the survival of SCLC.

Prognostic indicators of survival in patients with small-cell lung cancer at a tertiary care center in Lebanon.

Objective:Small-cell lung cancer is a very aggressive tumor associated with high invasiveness and ease of metastasis and therefore poor prognosis. In the literature, several demographical, clinical as well as pathological factors including age, stage, gender and smoking were cited as independent prognosticators of survival.Material and Methods:This is a retrospective cohort study that includes 222 patients diagnosed with small-cell lung cancer between 2010 and 2019. Clinical and demographic data were extracted from their medical records. The Kaplan–Meier and logistic regression models of statistical analysis were used to evaluate the association of these variables with survival.Results:Forty-five percent of patients were found to be alive at the time of data collection. The median survival of patients with small-cell lung cancer was found to be 14 months. On univariate analysis, increasing age as well as stage (extensive disease) were found to be significantly associated with decreased survival at 3 years. On the contrary, both gender and smoking status at diagnosis were not shown to significantly influence survival. On multivariate analysis, both age as well as stage remained significantly associated with survival.Conclusion:Limited data exist in the literature regarding the prognostic indicators of survival in small-cell lung cancer, especially from the Middle East area. In our study, both age and stage at the time of diagnosis were found to significantly influence survival. Further studies are needed to assess the association of other factors with survival.

Assessment of the Clinical Utility of Circulating Tumor Cells at Different Time Points in Predicting Prognosis of Patients With Small Cell Lung Cancer: A Meta-Analysis.

ObjectivesNumerous studies have elucidated that circulating tumor cells (CTCs) have significant prognostic value in various solid tumors. However, the prognostic value of CTCs in small cell lung cancer (SCLC) remains controversial. The current study was performed to investigate the prognostic significance of different time points of CTCs in SCLC.MethodsPubMed, EMBASE, Web of Science, and Cochrane Library databases were retrieved for eligible studies. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to investigate the association between CTCs level and overall survival (OS) and progression-free survival (PFS) in SCLC. Furthermore, subgroup analyses, sensitivity analysis, Begg’s and Egger’s tests were also conducted.ResultsSixteen cohort studies with 1103 participants were eligible for this meta-analysis. Our results revealed that higher pretreatment CTCs level was significantly correlated with worse OS in SCLC no matter CellSearch (HR, 2.95; 95%CI, 1.56-5.58; P = .001) or other methods (HR, 2.37; 95%CI, 1.13-4.99; P = .023) was used to detect CTCs. Higher pretreatment CTCs status detected by CellSearch was associated with shorter PFS (HR, 3.75; 95%CI, 2.52-5.57; P < .001), while there was no significant association when other methods were adopted to CTC detection (HR, 2.04; 95%CI, .73-5.68; P = .172). Likewise, we observed that higher post-therapy CTCs level detected by both CellSearch (HR, 2.99; 95%CI, 1.51-5.93; P = .002) and other methods (HR, 4.79; 95%CI, 2.03-11.32; P < .001) was significantly correlated with decreased OS in SCLC. However, higher post-therapy CTCs count detected by CellSearch was not correlated with worse PFS (HR, 1.80; 95%CI, .83-3.90; P = .135). Sensitivity analysis demonstrated that the pooled data were still stable after eliminating studies one by one. However, significant publication bias was observed between pretreatment CTCs level detected by CellSearch and OS of SCLC.ConclusionDynamic monitoring of CTCs level could be a non-invasive and effective tool to predict the disease progression and prognosis in patients with SCLC.