Treatment-by-histology interaction analyses in three phase III trials show superiority of pemetrexed in nonsquamous non-small cell lung cancer

Datopotamab Deruxtecan Versus Docetaxel for Previously Treated Advanced or Metastatic Non-Small Cell Lung Cancer: The Randomized, Open-Label Phase III TROPION-Lung01 Study

PURPOSE

The randomized, open-label, global phase III TROPION-Lung01 study compared the efficacy and safety of datopotamab deruxtecan (Dato-DXd) versus docetaxel in patients with pretreated advanced/metastatic non-small cell lung cancer (NSCLC).

METHODS

Patients received Dato-DXd 6 mg/kg or docetaxel 75 mg/m2 once every 3 weeks. Dual primary end points were progression-free survival (PFS) and overall survival (OS). Objective response rate, duration of response, and safety were secondary end points.

RESULTS

In total, 299 and 305 patients were randomly assigned to receive Dato-DXd or docetaxel, respectively. The median PFS was 4.4 months (95% CI, 4.2 to 5.6) with Dato-DXd and 3.7 months (95% CI, 2.9 to 4.2) with docetaxel (hazard ratio [HR], 0.75 [95% CI, 0.62 to 0.91]; P = .004). The median OS was 12.9 months (95% CI, 11.0 to 13.9) and 11.8 months (95% CI, 10.1 to 12.8), respectively (HR, 0.94 [95% CI, 0.78 to 1.14]; P = .530). In the prespecified nonsquamous histology subgroup, the median PFS was 5.5 versus 3.6 months (HR, 0.63 [95% CI, 0.51 to 0.79]) and the median OS was 14.6 versus 12.3 months (HR, 0.84 [95% CI, 0.68 to 1.05]). In the squamous histology subgroup, the median PFS was 2.8 versus 3.9 months (HR, 1.41 [95% CI, 0.95 to 2.08]) and the median OS was 7.6 versus 9.4 months (HR, 1.32 [95% CI, 0.91 to 1.92]). Grade ≥3 treatment-related adverse events occurred in 25.6% and 42.1% of patients, and any-grade adjudicated drug-related interstitial lung disease/pneumonitis occurred in 8.8% and 4.1% of patients, in the Dato-DXd and docetaxel groups, respectively.

CONCLUSION

Dato-DXd significantly improved PFS versus docetaxel in patients with advanced/metastatic NSCLC, driven by patients with nonsquamous histology. OS showed a numerical benefit but did not reach statistical significance. No unexpected safety signals were observed.

Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT

Distinguishing between primary adenocarcinoma (AC) and squamous cell carcinoma (SCC) within non-small cell lung cancer (NSCLC) tumours holds significant management implications. We assessed the performance of radiomics-based models in distinguishing primary there is from SCC presenting as lung nodules on Computed Tomography (CT) scans. We studied individuals with histopathologically proven adenocarcinoma or SCC type NSCLC tumours, detected as lung nodules on Chest CT. The workflow comprised manual nodule segmentation, regions of interest creation, preprocessing data, feature extraction, and nodule classification using machine learning algorithms. The dataset comprised 46 adenocarcinoma and 28 SCC cases. For feature extraction, 101 radiomic features were extracted from the tumour regions using the 'pyradiomics' module in Python. After extensive experimentation with various feature importance techniques, the top 10 most significant radiomic features for differentiating between adenocarcinoma and squamous cell carcinoma (SCC) were identified. The Synthetic Minority Over-Sampling Technique was used to achieve a balanced distribution. Lung nodules were classified using 13 machine-learning algorithms, including Linear Discriminant Analysis, Random Forest, AdaBoost, and eXtreme Gradient Boosting. The Multilayer Perceptron (MLP) Classifier with Rectified Linear Unit (ReLu) activation was the most accurate (83% accuracy) with 83% precision and 86% sensitivity in distinguishing SCC from adenocarcinoma. It achieved a balanced F1 score of 83%, indicating well-rounded performance in both precision and sensitivity. The average Area Under the Curve score was 88%, representing good discrimination between the two classes of lung nodules. Radiomics is a powerful non-invasive tool that could potentially add to visual information obtained on CT. The MLP Classifier with ReLu activation showed good accuracy in distinguishing primary lung adenocarcinoma from SCC nodules. However, widespread multicentre trials are required to realize the full potential of radiomics in lung nodules.

Classification of lung cancer subtypes on CT images with synthetic pathological priors

The accurate diagnosis on pathological subtypes for lung cancer is of significant importance for the follow-up treatments and prognosis managements. In this paper, we propose self-generating hybrid feature network (SGHF-Net) for accurately classifying lung cancer subtypes on computed tomography (CT) images. Inspired by studies stating that cross-scale associations exist in the image patterns between the same case's CT images and its pathological images, we innovatively developed a pathological feature synthetic module (PFSM), which quantitatively maps cross-modality associations through deep neural networks, to derive the "gold standard" information contained in the corresponding pathological images from CT images. Additionally, we designed a radiological feature extraction module (RFEM) to directly acquire CT image information and integrated it with the pathological priors under an effective feature fusion framework, enabling the entire classification model to generate more indicative and specific pathologically related features and eventually output more accurate predictions. The superiority of the proposed model lies in its ability to self-generate hybrid features that contain multi-modality image information based on a single-modality input. To evaluate the effectiveness, adaptability, and generalization ability of our model, we performed extensive experiments on a large-scale multi-center dataset (i.e., 829 cases from three hospitals) to compare our model and a series of state-of-the-art (SOTA) classification models. The experimental results demonstrated the superiority of our model for lung cancer subtypes classification with significant accuracy improvements in terms of accuracy (ACC), area under the curve (AUC), positive predictive value (PPV) and F1-score.

Cytomorphological Features as a Subtyping Tool of Non-Small-Cell Lung Cancer in Brushing Bronchoscopic Samples

Background and Objective

Nowadays, the separation of adenocarcinomas (ADCs) and squamous cell carcinomas (SCCs) is crucial given that there are new specific targeted therapies. So, the aim of this study was to examine the differences in cytomorphological features between ADC and SCC in bronchoscopic brush samples.

Material and Methods

The retrospective study was conducted over a 3-year period at Western Balkan University Hospital. All brushing samples were analysed. According to the histopathological report, patients were classified into ADC and SCC groups. The cytomorphological features analysed in 95 samples were presence of necrosis, cell distribution, nuclear atypia, size of nuclei, and visibility of nucleoli. Statistical analysis was performed in JASP, and P values <0.05 were considered significant.

Results

The necrotic background was more frequent in SCC samples. Small clusters sized ≤200 µm were found in 17.95% of samples from the SCC group and 53.57% in the ADC group. Large clusters sized >400 µm were found in 43.59% in the SCC group, while in the ADC group, it was found in 5.36%. There were no differences in nuclear atypia between groups. Nuclei that were >5x lymphocyte size were found more often in samples from ADC than in the SCC group (37.50 vs 10.25%). In 89.75% of samples from the SCC group, nuclei were ≤5x lymphocyte sizes, while in the ADC group, the percentage was 63.5%. Nucleoli were more often visible in samples from the ADC group compared to the SCC group (92.86% vs 64.10%, P < 0,05).

Conclusions

Small clusters, large nuclei, and visible nucleoli were more frequent in the ADC group (P < 0.05), while large clusters, small nuclei, and invisible nucleoli were more frequent in the SCC group (P < 0.05).

Diagnostic Value of GDF10 for the Tumorigenesis and Immune Infiltration in Lung Squamous Cell Carcinoma

OBJECTIVE

Lung squamous cell carcinoma (LUSC) is associated with a low survival rate. Evidence suggests that bone morphogenetic proteins (BMPs) and their receptors (BMPRs) play crucial roles in tumorigenesis and progression. However, a comprehensive analysis of their role in LUSC is lacking. Our study aimed to explore the relationship between BMPs/BMPRs expression levels and the tumorigenesis and prognosis of LUSC.

METHODS

The "R/Limma" package was utilized to analyze the differential expression characteristics of BMPs/BMPRs in LUSC, using data from TCGA, GTEx, and GEO databases. Concurrently, the "survminer" packages were employed to investigate their prognostic value and correlation with clinical features in LUSC. The core gene associated with LUSC progression was further explored through weighted gene correlation network analysis (WGCNA). LASSO analysis was conducted to construct a prognostic risk model for LUSC. Clinical specimens were examined by immunohistochemical analysis to confirm the diagnostic value in LUSC. Furthermore, based on the tumor immune estimation resource database and tumor-immune system interaction database, the role of the core gene in the tumor microenvironment of LUSC was explored.

RESULTS

GDF10 had a significant correlation only with the pathological T stage of LUSC, and the protein expression level of GDF10 decreased with the tumorigenesis of LUSC. A prognostic risk model was constructed with GDF10 as the core gene and 5 hub genes (HRASLS, HIST1H2BH, FLRT3, CHEK2, and ALPL) for LUSC. GDF10 showed a significant positive correlation with immune cell infiltration and immune checkpoint expression.

CONCLUSION

GDF10 might serve as a diagnostic biomarker reflecting the tumorigenesis of LUSC and regulating the tumor immune microenvironment to guide more effective treatment for LUSC.

Prediction uncertainty estimates elucidate the limitation of current NSCLC subtype classification in representing mutational heterogeneity

The heterogeneous pathogenesis and treatment response of non-small cell lung cancer (NSCLC) has led clinical treatment decisions to be guided by NSCLC subtypes, with lung adenocarcinoma and lung squamous cell carcinoma being the most common subtypes. While histology-based subtyping remains challenging, NSCLC subtypes were found to be distinct at the transcriptomic level. However, unlike genomic alterations, gene expression is generally not assessed in clinical routine. Since subtyping of NSCLC has remained elusive using mutational data, we aimed at developing a neural network model that simultaneously learns from adenocarcinoma and squamous cell carcinoma samples of other tissue types and is regularized using a neural network model trained from gene expression data. While substructures of the expression-based manifold were captured in the mutation-based manifold, NSCLC classification accuracy did not significantly improve. However, performance was increased when rejecting inconclusive samples using an ensemble-based approach capturing prediction uncertainty. Importantly, SHAP analysis of misclassified samples identified co-occurring mutations indicative of both NSCLC subtypes, questioning the current NSCLC subtype classification to adequately represent inherent mutational heterogeneity. Since our model captures mutational patterns linked to clinical heterogeneity, we anticipate it to be suited as foundational model of genomic data for clinically relevant prognostic or predictive downstream tasks.

Transcriptome-level discovery of survival-associated biomarkers and therapy targets in non-small-cell lung cancer

BACKGROUND AND PURPOSE

Survival rate of patients with lung cancer has increased by over 60% in the recent two decades. With longer survival, the identification of genes associated with survival has emerged as an issue of utmost importance to uncover the most promising biomarkers and therapeutic targets.

EXPERIMENTAL APPROACH

An integrated database was set up by combining multiple independent datasets with clinical data and transcriptome-level gene expression measurements. Univariate and multivariate survival analyses were performed to identify genes with higher expression levels linked to shorter survival. The strongest genes were filtered to include only those with known druggability.

KEY RESULTS

The entire database includes 2852 tumour specimens from 17 independent cohorts. Of these, 2227 have overall survival data and 1256 samples have progression-free survival time. The most significant genes associated with survival were MIF, UBC and B2M in lung adenocarcinoma and ANXA2, CSNK2A2 and KRT18 in squamous cell carcinoma. We also aimed to reveal the best druggable targets in non-smokers lung cancer. The three most promising hits in this cohort were MDK, THY1 and PADI2. The established lung cancer cohort was added to the Kaplan-Meier plotter (https://www.kmplot.com) enabling the validation of future gene expression-based biomarkers in both the present and yet unexamined subgroups of patients.

CONCLUSIONS AND IMPLICATIONS

In this study, we established a comprehensive database of transcriptome-level data for lung cancer. The database can be utilized to identify and rank the most promising biomarkers and therapeutic targets for different subtypes of lung cancer.

Blood Immune Cells as Biomarkers in Long-Term Surviving Patients with Advanced Non-Small-Cell Lung Cancer Undergoing a Combined Immune/Chemotherapy

An important challenge remains in identifying the baseline characteristics of cancer patients who will mostly benefit from immune checkpoint inhibitor (ICI) therapies. Furthermore, biomarkers could help in the choice of an optimal therapy duration after a primary therapy response. In this pilot study, the time courses of four different immune cell parameters were followed in 12 patients with advanced non-small-cell lung cancer (NSCLC) undergoing ICI therapy combined with chemotherapy and surviving at least 12 months. Blood was collected at the time point of the first and third antibody administration, as well as after 12 months of patients' survival. Using multi-color flow cytometry, two suppressive markers (neutrophil/lymphocyte ratio (NLR) and the frequency of circulating HLA-DRlow monocytes), as well as two markers of an ongoing immune response (6-Sulfo LacNAc (slan)+ non-classical monocytes and dendritic cell (DC) subtypes), were determined. In most of those who survived > 12 months, a low NLR and a low number of HLA-DRlow monocytes combined with clearly detectable numbers of slan+ non-classical monocytes and of DC subtypes were seen. Two of the patients had an increase in the suppressive markers paired with a decrease in slan+ non-classical monocytes and in DC subtypes, which, in at least one patient, was the correlate of an ongoing clinical progression. Our results implicate that the NLR, specific subtypes of monocytes, and the number of blood DCs might be useful predictive biomarkers for cancer patients during long-term treatment with ICI/chemotherapy.

Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features

Lung cancer is a malignant tumor with rapid progression and high fatality rate. According to histological morphology and cell behaviours of cancerous tissues, lung cancer can be classified into a variety of subtypes. Since different cancer subtype corresponds to distinct therapies, the early and accurate diagnosis is critical for following treatments and prognostic managements. In clinical practice, the pathological examination is regarded as the gold standard for cancer subtypes diagnosis, while the disadvantage of invasiveness limits its extensive use, leading the non-invasive and fast-imaging computed tomography (CT) test a more commonly used modality in early cancer diagnosis. However, the diagnostic results of CT test are less accurate due to the relatively low image resolution and the atypical manifestations of cancer subtypes. In this work, we propose a novel automatic classification model to offer the assistance in accurately diagnosing the lung cancer subtypes on CT images. Inspired by the findings of cross-modality associations between CT images and their corresponding pathological images, our proposed model is developed to incorporate general histopathological information into CT imagery-based lung cancer subtypes diagnostic by omitting the invasive tissue sample collection or biopsy, and thereby augmenting the diagnostic accuracy. Experimental results on both internal evaluation datasets and external evaluation datasets demonstrate that our proposed model outputs more accurate lung cancer subtypes diagnostic predictions compared to existing CT-based state-of-the-art (SOTA) classification models, by achieving significant improvements in both accuracy (ACC) and area under the receiver operating characteristic curve (AUC).Clinical Relevance- This work provides a method for automatically classifying the lung cancer subtypes on CT images.

Interim survival analysis of the randomized phase III GEMSTONE-302 trial: sugemalimab or placebo plus chemotherapy as first-line treatment for metastatic NSCLC

The randomized, double-blinded, multi-center, phase III GEMSTONE-302 ( NCT03789604 ) study evaluated the efficacy and safety of sugemalimab versus placebo in combination with chemotherapy as first-line treatment for metastatic non-small-cell lung cancer (NSCLC). In this study, 479 treatment-naive patients with stage IV squamous or non-squamous NSCLC without known EGFR sensitizing mutations, ALK, ROS1 or RET fusions were randomized (2:1) to receive 1,200 mg of sugemalimab (n = 320) or placebo (n = 159) every 3 weeks in combination with platinum-based chemotherapy for up to four cycles, followed by maintenance therapy with sugemalimab or placebo for squamous NSCLC and sugemalimab or placebo plus pemetrexed for non-squamous NSCLC. Placebo-treated patients could cross over to receive sugemalimab monotherapy on disease progression. The primary endpoint was investigator-assessed progression-free survival (PFS) and the secondary endpoints included overall survival (OS) and objective response rate. Sugemalimab plus chemotherapy has demonstrated significant PFS prolongation in the primary analysis as reported previously. As of 22 November 2021, the prespecified interim OS analysis showed significant improvement with the addition of sugemalimab to chemotherapy (median OS = 25.4 versus 16.9 months; hazard ratio = 0.65; 95% confidence interval = 0.50-0.84; P = 0.0008). Sugemalimab plus chemotherapy provided superior PFS and OS compared to placebo plus chemotherapy, supporting the use of sugemalimab as a first-line treatment option for metastatic NSCLC.

A Phase I Study of the Non-Receptor Kinase Inhibitor Bosutinib in Combination with Pemetrexed in Patients with Selected Metastatic Solid Tumors

Src is overexpressed in various cancers, including 27% of non-small cell lung cancer NSCLC, and is correlated with poor clinical outcomes. We hypothesize that Src kinase inhibitors, including Bosutinib, may exhibit clinical synergy in combination with the antifolate drug pemetrexed. In this Phase I, dose-escalation, safety, and maximum tolerated dose (MTD)-determining study, 14 patients with advanced metastatic solid tumors that had progressed on "standard of care" chemotherapy were enrolled in a 3 + 3 dose escalation study. Oral Bosutinib was administered once daily beginning on day 1, where the first cohort started at an oral dose of 200 mg daily with pemetrexed 500 mg/m² IV on a three-week schedule. The study's primary objective was to determine the dose-limiting toxicity (DLT), the MTD of Bosutinib in combination with pemetrexed, and the type and frequency of adverse events associated with this treatment. Twelve patients were evaluable for response, including ten patients with adenocarcinoma of the lung, one patient with metastatic adenocarcinoma of the appendix, and one patient with urothelial carcinoma. The median number of Bosutinib and pemetrexed cycles received was 4 (range, 1-4). The MTD of oral Bosutinib in this combination was 300 mg daily. Two patients (17%) had a partial response (PR), and seven patients (58%) showed stable disease (SD) as the best response after the fourth cycle (end of treatment). One patient had disease progression after the second cycle, while three patients had disease progression after the fourth cycle. The two responders and the two patients with the longest stable disease duration or stabilization of disease following progression on multiple systemic therapies demonstrated Src overexpression on immunohistochemical staining of their tumor. The median progression-free survival (PFS) was 6.89 months (95% CI (3.48, 30.85)), and the median overall survival (OS) was 11.7 months (95% CI (3.87, 30.85)). Despite the limitations of this Phase I study, there appears to be potential efficacy of this combination in previously treated patients.

Randomized phase II trial of pemetrexed-cisplatin plus bevacizumab or thoracic radiotherapy followed by surgery for stage IIIA (N2) nonsquamous non-small cell lung cancer

BACKGROUND

Personalized Induction Therapy-1 is a multicenter, randomized phase II selection design trial of the efficacy and safety of platinum-doublet induction chemotherapy plus angiogenesis inhibitors/concurrent thoracic radiotherapy (TRT) followed by surgery for stage IIIA (N2) nonsquamous non-small cell lung cancer (NSCLC).

METHODS

Patients with pathologically proven stage IIIA (N2) nonsquamous NSCLC were assigned at random to 1 of 2 arms. Patients received (1:1) induction therapy with pemetrexed 500 mg/m² and cisplatin 75 mg/m² plus bevacizumab 15 mg/kg intravenously every 3 weeks for 3 cycles (bevacizumab arm) or concurrent TRT (45 Gy in 25 fractions; TRT arm) before surgery. The primary endpoint was the 2-year progression-free survival (PFS) rate.

RESULTS

Eighty-two patients were treated, including 42 in the bevacizumab arm and 40 in the TRT arm. Thirty-eight patients (90%) in the bevacizumab arm and 37 patients (93%) in the TRT arm underwent surgery. The objective response rates in the 2 groups were 50% and 60%, respectively (P = .36). The 2-year PFS and overall survival rates were 37% (95% confidence interval [CI], 22.4%-51.2%) and 50% (95% CI, 33.8%-64.2%) (hazard ratio [HR], 1.34; P = .28), respectively, and 81% (95% CI, 64.7%-89.7%) and 80% (95% CI, 64.0%-89.5%) (HR, 1.10; P = .83), respectively. Although grade 5 toxicity did not occur during induction therapy, 2 patients in the bevacizumab arm died due to bronchopleural fistula.

CONCLUSIONS

Although not significant, the 2-year PFS rate was higher in the TRT arm than in the bevacizumab arm. Fatal surgical complications were observed only in the bevacizumab arm. Therefore, pemetrexed-cisplatin with concurrent TRT was chosen as the investigational induction treatment strategy for future phase III trials.

Blood Immune Cell Biomarkers in Lung Cancer Patients Undergoing Treatment with a Combination of Chemotherapy and Immune Checkpoint Blockade

Although immune checkpoint inhibitor (ICI) therapies have improved the treatment of patients with advanced non-small cell lung cancer (NSCLC), several patients do not achieve durable clinical responses. Biomarkers for the prediction of therapy responses are urgently needed. To identify blood cell parameters correlating with patients’ survival, immune cells from 90 patients with NSCLC undergoing a combination of ICI and chemotherapy were prospectively monitored. At the time point of the first and third antibody administration, complete leukocyte blood count, the percentage of HLA-DRlow monocytes, the percentage of 6-Sulfo LacNAc (slan)+CD16+ non-classical monocytes, and the number of circulating dendritic cell (DC) subtypes, as well as T-, B-, and NK cells were determined by multi-color flow cytometry in peripheral blood. The prognostic value of the immune cell parameters investigated was evaluated by patients’ survival analysis, with progression-free survival (PFS) as the main criterion. A total of 67 patients (74.4%) showed a partial remission or a stable disease, and 35% of patients even survived 12 months and longer. Patients with a neutrophil-to-lymphocyte ratio (NLR) ≥6.1, a frequency of HLA-DRlow monocytes ≥22%, of slan+ non-classical monocytes <0.25% of leukocytes, and/or a sum of myeloid DC (MDC) and plasmacytoid DC (PDC) ≤0.14% of leukocytes had a poorer prognosis. The hazard ratio for PFS was 2.097 (1.208−3.640) for the NLR, 1.964 (1.046−3.688) for HLA-DRlow monocytes, 3.202 (1.712−5.99) for slan+ non-classical monocytes, and 2.596 (1.478−4.56) for the MDC/PDC sum. Patients without any of the four risk factors showed the best PFS. Furthermore, low NK cell counts correlated with shorter PFS (cutoff 200 cells/µL). Female patients had lower baseline NK cell counts and a shorter PFS. Our study confirms the usefulness of blood immune cells as biomarkers for clinical response and survival in NSCLC patients undergoing a combined ICI/chemotherapy.

Survival benefit of using pemetrexed for EGFR mutation-positive advanced non-small-cell lung cancer in a randomized phase III study comparing gefitinib to cisplatin plus docetaxel (WJTOG3405)

BACKGROUND

Pemetrexed is common cytotoxic chemotherapy among non-squamous non-small cell lung cancer (non-Sq-NSCLC) patients; however, among epidermal growth factor receptor (EGFR)-positive lung cancer, there is no clear evidence to support the efficacy of sequential treatment with pemetrexed.

MATERIAL AND METHODS

We performed a post-hoc analysis of subsequent chemotherapies among 144 patients who received the post-protocol treatment in the phase III trial WJTOG 3405 comparing gefitinib to cisplatin plus docetaxel, and analyzed the effect of pemetrexed on overall survival (OS).

RESULTS

Patients with treatment including pemetrexed exhibited significantly longer OS in comparison to those without pemetrexed; the median OS in the pemetrexed + and pemetrexed- patients were 40.7 months and 28.0 months, respectively (0.55 of HR [95% CI: 0.38-0.80, p = 0.0020]). On the other hand, other treatments, including docetaxel, TS-1 and paclitaxel showed no significant impact on OS. The multivariate analysis with a time-dependent Cox proportional hazards model showed that treatment including pemetrexed, as well as PS 0 and post-operative recurrence, were independent predictors of a good prognosis. Moreover, among patients who received at least four lines of prior treatment, pemetrexed + treatment also significantly prolonged OS in comparison to pemetrexed- treatment (median OS pemetrexed + vs. pemetrexed-: 44.4 months vs. 32.6 months; HR: 0.55 [95% CI: 0.31-0.94, p = 0.0290]).

CONCLUSIONS

Sequential treatment including pemetrexed against EGFR-mutated NSCLC might be associated with a better outcome. It was considered that pemetrexed should be administered without fail as a sequential treatment to improve the prognosis of EGFR-mutated NSCLC as well as like EGFR-tyrosine kinase inhibitors.

Comparative survival analysis of platinum-based adjuvant chemotherapy for early-stage squamous cell carcinoma and adenocarcinoma of the lung

Background and Purpose

Although cytotoxic platinum‐based adjuvant chemotherapy (pACT) has been recommended for patients with completely resected early‐stage (ES) non–small‐cell lung cancer (ES‐NSCLC), therapeutic regimens for NSCLC have evolved in the past two decades. The study was aimed to examine the effectiveness of postoperative pACT for resected ES‐NSCLC patients with squamous cell carcinoma (SCC) or adenocarcinoma (ADC) according to real‐world data.

Methods and Patients

Inverse probability treatment weighting (IPTW) was used to adjust baseline characteristics between the group receiving pACT and those not receiving any treatment (observation, OBS) within 3 months after curative surgery. Cox regression models were used to compare overall survival (OS) and treatment failure‐free survival (TFS) between the groups.

Results

Of 31,208 patients with ES‐NSCLC, 4700 undergoing complete tumor resection were eligible, with a mean follow‐up period of 4.5 years. The pACT (n = 2347) and OBS (n = 2353) groups were well‐balanced after IPTW. The median OS differed between the pACT and OBS groups (77.2 vs. 75.5 months, adjusted hazard ratio [aHR] = 0.87, 95% confidence interval [CI] = 0.79–0.95, p = 0.003), and the 5‐year survival rates were 58.2% and 55.3%, respectively (p < 0.001). In the SCC group, pACT was superior to OBS in OS (75.0 vs. 57.4 months, aHR = 0.74, 95% CI = 0.62–0.88, p = 0.001) and TFS (32.7 vs. 21.8 months, aHR = 0.74, 95% CI = 0.63–0.86, p < 0.001). Both OS and TFS did not differ between two groups in those with ADC.

Conclusion

Real‐world data indicated that pACT confers a survival benefit for resected ES‐NSCLC patients with SCC but not ADC, which needs to be verified by a large sample of randomized controlled studies.

First-line chemotherapy plus immune checkpoint inhibitors or bevacizumab in advanced non-squamous non-small-cell lung cancer without EGFR mutations or ALK fusions

Aim: To compare the efficacy and safety of first-line chemotherapy (Chemo) plus immune checkpoint inhibitors (ICIs) or bevacizumab (Bev) in advanced non-squamous non-small-cell lung cancer without EGFR mutations or ALK fusions. Methods: A network meta-analysis was conducted to synthesize relative treatment outcomes. Results: Chemo + ICIs is superior to Chemo + Bev in both overall survival (hazard ratio: 0.92; 95% CI: 0.88-0.96) and progression-free survival (hazard ratio: 0.93; 95% CI: 0.90-0.97), with comparable severe adverse events. However, for patients with liver metastasis, Chemo + Bev has a 59.8% probability of providing better overall survival benefit. For specific regimens, pembrolizumab + Chemo showed an absolute advantage over other regimens. Conclusion: First-line Chemo + ICIs is superior to Chemo + Bev in advanced non-squamous non-small-cell lung cancer except for patients with liver metastasis.

Case Report: Significant Clinical Benefit From Pemetrexed-Based Therapy in ROS1- and ALK-rearranged Lung Cancer With Adenosquamous Histology

Pemetrexed (used as a platinum doublet or as a maintenance regimen) is an established therapy for patients with advanced non-squamous non-small-cell lung cancer (NSCLC). In addition, certain gene rearrangements (e.g., ALK, ROS1, RET) appear to especially benefit from the use of pemetrexed. Inferior outcomes with pemetrexed compared to other chemotherapies in patients with NSCLC demonstrating squamous histology removed these patients from the labeled indication for the drug. While most squamous cases do not harbor driver oncogenes, rare exceptions exist. Whether the poor outcomes with pemetrexed extend to NSCLC with squamous component harboring driver oncogenes remains unexplored. In this case series, we describe two patients with adenosquamous histology harboring an ROS1 and ALK gene arrangement, respectively, who derived significant benefit from pemetrexed-based therapy. These cases suggest that the value of pemetrexed may need to be re-explored in adenosquamous NSCLC harboring such alterations.

CT-Guided Percutaneous Core Needle Biopsy in Typing and Subtyping Lung Cancer: A Comparison to Surgery

Background: Lung cancer histologic types and subtypes are closely associated with treatment selection and prognosis prediction. In this study, we aim to evaluate the suitability of computed tomography-guided percutaneous core needle biopsy (CT-guided PCNB) in typing and subtyping lung cancer. Methods: From August 2007 to December 2015, the patients who underwent CT-guided PCNB and lung lesion resection were retrospectively collected and analyzed. All pathological sections were reassessed in consensus by 2 junior pathologists (group A) and 2 senior pathologists (group B), respectively. All cases were diagnosed on 3 levels: first, malignant and benign diagnosis; second, histologic types diagnosis; and third, histologic subtypes diagnosis and compared with surgery results. Pearson chi-square test was used to compare the differences of diagnostic accuracy between pathologists in group A and group B. Results: A cohort of 160 patients was included in this study. On the first level, the diagnostic accuracy was 90.63% (group A) and 94.38% (group B), (P = .20). On the second level, the diagnostic accuracy for malignant lesions, adenocarcinoma (ADC), and squamous cell carcinoma (SQC) were, respectively, 72.66%, 84.72%, and 69.05% (group A) and 76.98%, 90.28%, and 71.43% (group B) (P > .05). On the third level, the diagnostic accuracy for ADC subtypes were 26.39% (group A) and 55.56% (group B) (P < 0.01); for SQC subtypes were 28.57% (group A) and 38.10% (group B) (P = 0.36). Conclusion: Small specimens obtained by CT-guided PCNB were suitable for the diagnosis of lung cancer histologic types, which may contribute to the selection of a suitable treatment strategy for the unresectable lung cancers. While for the diagnosis of subtypes, discussion with experienced pathologists was recommended.

Tailoring maintenance chemotherapy upon response to induction chemotherapy as compared with pemetrexed continuation maintenance in advanced non-squamous NSCLC patients: Results of the IFCT-GFPC-1101 multicenter randomized phase III trial

BACKGROUND

Benefit from maintenance in advanced non-squamous non-small cell lung cancer (NS-NSCLC) might favor switch maintenance after disease stabilization (SD) and continuation after objective response (OR). This trial assessed a maintenance strategy conditioned by response to cisplatin-gemcitabine (CG) with G continuation for patients with OR or switch to pemetrexed (P) for patients with SD as compared with a control arm based on the Paramount regimen.

METHODS

Eligibility criteria: age 18-70 years, ECOG PS 0-1, untreated stage IV NS-NSCLC without EGFR or ALK alteration, ineligibility to bevacizumab. Patients were randomized 1:1 to receive either CG (4 cycles) followed by G maintenance in case of OR followed by P at progression, or switch to P for patients with SD, or 4 cycles of CP followed by P (control arm). Primary endpoint: overall Survival.

RESULTS

Between 2012 and 2016, 932 patients were randomized (CG: 467, CP: 465) with well-balanced characteristics. 257 patients (56.7%) in the CG arm received maintenance (G: 142, P: 113) versus 277 patients (59.7%) in the CP arm. Median number of maintenance cycles was 5 for G and P (CG induction) and 4 for P (CP induction). OS adjusted HR was 0.97 (95% CI 0.84, 1.13; p = 0.71) with a median of 10.9 months (CG) versus 10.4 (CP). HR for PFS was 0.95 (95% CI 0.83, 1.09; p = 0.45) with a median of 4.8 months for CG versus 4.5 for CP. Safety profile was as expected.

CONCLUSIONS

Adapting maintenance strategy according to response to induction chemotherapy does not improve patient outcome.

CLINICAL TRIAL INFORMATION

NCT01631136.

Clinical Outcomes of Chemotherapeutic Molecules as Single and Multiple Agents in Advanced Non-Small-Cell Lung Carcinoma (NSCLC) Patients

Background and Objectives: Lung cancer is the second most common cancer in the world. Non-small-cell lung carcinoma (NSCLC) makes up 85% of all lung cancer cases and the majority of patients are diagnosed when the cancer is advanced. Over the years, many anticancer drugs have been designed and introduced into the market to treat patients with advanced NSCLC. This review aims to discuss the comparative therapeutic benefits of conventional chemotherapeutics and other drugs available for treating advanced NSCLC. Materials and Methods: A literature search for first-line treatment of advanced NSCLC was carried out on PubMed and Google Scholar. Objective response rate (ORR) and overall survival were chosen as target endpoints. Results: Monotherapy showed lower treatment endpoints compared to combination therapy. Different combinations of platinum-based doublets demonstrated similar efficacies in treating NSCLC. However, pemetrexed-platinum doublets showed significantly better treatment endpoint in patients with non-squamous NSCLC. Most studies showing the best complete response rate (CRR) utilized epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI), while most studies producing the best overall survival included programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) inhibitors in their treatment regimens. Conclusions: The findings of this review indicate that targeted therapy using specific inhibitors is now the most promising first-line anticancer treatment available in the market. However, chemotherapy is still effective in treating advanced NSCLC and is viable as a first-line treatment.

Recommendations for immunocytochemistry in lung cancer typing: An update on a resource-efficient approach with large-scale comparative Bayesian analysis

OBJECTIVES

The majority of lung cancer cases are of advanced stage and diagnosis is usually made using minimally invasive small biopsies and cytological specimens. The WHO 2015 classification recommends limiting immunocytochemistry (ICC) to lung cancer typing and molecular testing drives for personalised therapies. An algorithm using Bayes' theorem could be useful for defining antibody profiles. This study aims to assess the impact of different antibody profiles for cytological samples on the accuracy of lung cancer typing with a large-scale Bayesian analysis.

METHODS

A retrospective examination of 3419 consecutive smears and/or cytospins diagnosed over 2011-2016 found 1960 primary lung cancer tumours: 972 adenocarcinomas (ADC), 256 squamous carcinomas (SQC), 268 neuroendocrine tumours (NET), and 464 non-small cell cancer-not otherwise specified (NSCC-NOS). The a priori and a posteriori probabilities, before and after ICC using antibodies singly or in combination, were calculated for different lung cancer types.

RESULTS

TTF-1 or CK7 alone improved the a posteriori probabilities of correct cytological typing for ADC to 86.5% and 95.8%, respectively. For SQC, using p40 (∆Np63) or CK5/6 together with CK5/14 led to comparable results (78.3% and 90.3%). With synaptophysin or CD56 alone, improvements in a posteriori probabilities to 87.5 and 90.3% for the correct recognition of NET could be achieved.

CONCLUSIONS

Based on morphological and clinical data, the use of two antibodies appears sufficient for reliable detection of the different lung cancer types. This applies to diagnoses that were finalised following ICC both on a clinical or cytological basis and on a histological basis.

Biomarkers of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer: Beyond PD-L1

Immunotherapy has markedly improved the survival rate of patients with non-small cell lung cancer (NSCLC) and has introduced a new era in lung cancer treatment. Although some patients achieve durable responses to checkpoint blockade, not all experience such benefits, and some suffer from significant immunotoxicities. Thus, it is crucial to identify potential biomarkers suitable for screening the population that may benefit from immunotherapy. Based on the current clinical trials, the aim of the present study was to review the biomarkers for immune checkpoint inhibition that may have the potential to predict the response to immunotherapy in patients with lung cancer. A non-systematic literature review was done. We searched for eligible randomized controlled trials (RCTs) from PubMed, Embase, and the Cochrane Central Register of Controlled Trials from January 2015 to January 2021. The keywords included biomarkers, immunotherapy, immune checkpoint inhibition, programmed death ligand 1 (PD-L1), and non-small cell lung cancer. Additional biomarkers beyond PD-L1 that have been shown to have predictive capacity include tumor mutational burden, microsatellite instability, lung immune prognostic index, gut microbiome, and certain alterations in genes (eg, STK11 deletion, LKB1 kinase mutation, MDM2/4 amplification) that confer immunoresistance. The biomarkers reviewed in this article could help us better select the appropriate immunotherapy treatment for patients with NSCLC.

Randomized phase II trial of uracil/tegafur and cisplatin versus pemetrexed and cisplatin with concurrent thoracic radiotherapy for locally advanced unresectable stage III non-squamous non-small cell lung cancer: NJLCG1001

Background

The optimal regimen for concurrent chemoradiotherapy (CCRT) of locally advanced non-squamous non-small cell lung cancer (NSCLC) was not definitive. We conducted randomized phase II study, NJLCG0601, and chemoradiotherapy with uracil/tegafur (UFT) and cisplatin achieved promising efficacy without severe toxicities. Here, we evaluated between this regimen and pemetrexed plus cisplatin in chemoradiotherapy for stage III non-squamous NSCLC.

Methods

Patients with inoperable stage III non-squamous NSCLC were randomly assigned in a 1:1 ratio to UFT 400 mg/m² on days 1–14 and 29–42, and cisplatin 80 mg/m² on days 8 and 36 (UP), or cisplatin 75 mg/m² and pemetrexed 500 mg/m² on days 1, 22, and 43 (PP). Involved-field radiotherapy (IFRT) underwent from day 1 to a total dose of 66 Gy in 33 fractions. Consolidation chemotherapy after CCRT was prohibited for this study. The primary endpoint was defined as 2-year overall survival (OS). This trial was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000003948).

Results

From November 2010 to June 2017, 86 patients were entered from 11 institutions. Median follow-up was 54 months. Of the 85 eligible patients, the 2-year OS rate was 78.6% (95% CI, 62.8–88.3%) in UP and 85.5% (95% CI, 70.5–93.2%) in PP. Median PFS and OS was 12.3 and 64.2 months in UP, 26.2 months and not reached in PP, respectively. Grade 3/4 febrile neutropenia was more frequent in the UP group (14.0% vs. 2.0%).

Conclusions

Both UP and PP with IFRT achieved the expected 2-year OS. PP engendered more favorable OS and PFS compared to UP in terms.

Detection of Non-Small Lung Cell Carcinoma-Associated Genetic Alterations Using a NanoString Gene Expression Platform Approach

In non-small cell lung cancer (NSCLC), mutation detection and fusion gene status are treatment predictive and, hence, key factors in clinical management. Lately, alternate splicing variants of MET have gained focus as NSCLC tumors harboring a MET exon 14 skipping event have proven sensitive toward targeted therapy. Reliable methods for detection of genetic alterations in NSCLC have proven to be of increased importance. This chapter provides with hands-on experience of the NanoString gene expression platform for detection of genetic alterations in NSCLC.

Pemetrexed-based chemotherapy for non-small-cell lung cancer patients with EGFR exon 20 insertion mutation: a multicenter study

BACKGROUND

Chemotherapy is the major choice for advanced non-small-cell lung cancer (NSCLC) patients with epidermal growth factor receptor exon 20 insertion (EGFR ex20ins). The efficacy of pemetrexed-based with other chemotherapy regimens and EGFR ex20ins subtypes in this population has not been well studied.

METHODS

We screened patients with EGFR ex20ins by next-generation sequencing (NGS) from a large cohort. The clinicopathologic and medical information were collected in advanced NSCLC patients with EGFR ex20ins. We also compared the clinical outcomes among patients with different subtypes of EGFR ex20ins.

RESULTS

We retrospectively collected 119 stage IIIB/IV NSCLC patients with EGFR ex20ins from 9142 NSCLC patients across China from June 2013 to December 2018. The subtypes of EGFR ex20ins included A767_V769dupASV (33/119, 27.73%), S768_D770dupSVD (19/119, 15.97%), N771_H773dupNPH (11/119, 9.24%), A763_Y764insFQEA (2/119, 1.68%) and others (54/119, 45.38%). A total of 64.7% (77/119) of patients received pemetrexed-based first-line chemotherapy and 13.45% (16/119) of patients received pemetrexed-based second-line chemotherapy. Pemetrexed-based chemo-treated patients had longer median progression-free survival (PFS) than patients without pemetrexed-based chemo-treated (5.5 vs. 3.0 months, P=0.0026). Survival data was available for 66 patients and the median overall survival (OS) was 24.7 months. Pemetrexed-based chemo-treated patients had longer OS tendency than patients without pemetrexed-based chemo-treated (25.0 vs. 19.6 months, P=0.0769). Patients harboring A767_V769dupASV had better OS than other subtypes of EGFR ex20ins but without statistical significance (P=0.0676). Multivariate analysis revealed that histological type of NSCLC and bone-metastasis before treatment were independent prognostic factors for OS in all patients after adjusting all characteristic and treatment factors (P<0.05).

CONCLUSIONS

To the best of our knowledge, it is the largest cohort study of advanced NSCLC patients with EGFR ex20ins across China. Pemetrexed-based treatment could have better control of disease than non-pemetrexed-based chemotherapies in this population. Furthermore, more effective agents are expected for patients harboring EGFR ex20ins.

Cost-effectiveness analysis comparing companion diagnostic tests for EGFR, ALK, and ROS1 versus next-generation sequencing (NGS) in advanced adenocarcinoma lung cancer patients

BACKGROUND

The treatment of choice for advanced non-small cell lung cancer is selected according to the presence of specific alterations. Patients should undergo molecular testing for relevant modifications and the mutational status of EGFR and translocation of ALK and ROS1 are commonly tested to offer the best intervention. In addition, the tests costs should also be taken in consideration. Therefore, this work was performed in order to evaluate the cost-effectiveness of a unique exam using NGS (next generation sequencing) versus other routinely used tests which involve RT-PCR and FISH.

METHODS

The target population was NSCLC, adenocarcinoma, and candidates to first-line therapy. Two strategies were undertaken, strategy 1 corresponded to sequential tests with EGFR RT-PCR, then FISH for ALK and ROS1. Strategy 2 differed from 1 in that ALK and ROS1 translocation testing were performed simultaneously by FISH. Strategy 3 considered single test next-generation sequencing, a platform that includes EGFR, ALK and ROS1 genes. A decision tree analysis was used to model genetic testing options. From the test results, a microsimulation model was nested to estimate survival outcomes and costs of therapeutic options.

RESULTS

The use of NGS added 24% extra true cases as well as extra costs attributed to the molecular testing. The ICER comparing NGS with sequential tests was US$ 3479.11/correct case detected. The NGS improved a slight gain in life years and QALYs.

CONCLUSION

Our results indicated that, although precise, the molecular diagnosis by NGS of patients with advanced stage NSCLC adenocarcinoma histology was not cost-effective in terms of quality-adjusted life years from the perspective of the Brazilian supplementary health system.

Phase II Study of Pemetrexed as a Salvage Chemotherapy for Thymidylate Synthase-Low Squamous Cell Lung Cancer

PURPOSE

Squamous cell carcinomas (SqCC) of the lung often express high levels of thymidylate synthase (TS), which is associated with primary resistance to pemetrexed. We explored the efficacy of pemetrexed in a selected population of patients with lung SqCC with low TS expression.

Materials and Methods

In this single-arm phase II trial, we enrolled 32 previously-treated patients with advanced lung SqCC exhibiting low immunohistochemical staining for TS (i.e., in 10% or less of tumor cells). The primary endpoint was 12-week progression-free survival (PFS) rate.

RESULTS

Of 32 patients, eight patients (25%) had an Eastern Cooperative Oncology Group performance status of 2, and seven patients (22%) had previously received three or more lines of chemotherapy. The disease control rate from pemetrexed treatment was 30%, and no objective response was observed. The 12-week PFS rate was 24.5% (95% confidence interval [CI], 13.0 to 46.1). Median PFS was 1.3 months (95% CI, 1.3 to 2.7), and median overall survival was 11.8 months (95% CI, 8.1 to not applicable). Most of adverse events were grade 1 or 2.

CONCLUSION

Pemetrexed demonstrated modest activity as a salvage chemotherapy in patients with advanced lung SqCC with low TS expression, although its toxicity was generally manageable.

Accuracy of lung cancer staging in the multidisciplinary team setting

Accurate staging of lung cancer is of utmost importance in determining the stage-appropriate treatment and prognosis. Imaging tests which include contrast-enhanced computed tomography (CT) examination of the chest to include the liver and adrenal glands and 18-fluoro-2 deoxyglucose positron emission tomography (PET)/CT scan facilitate the initial tumor node metastasis (TNM) staging of the disease and provide guidance on the optimal biopsy site and biopsy method. The diagnostic and staging approach should be tailored to the individual patient according to risk, benefit, patient preferences, and available expertise. Diagnosis and staging should preferably be accomplished with a single procedure or the least number of invasive procedures if more than one is needed. Ideally, centers managing lung cancer patients should have a multidisciplinary thoracic oncology board prescribing personalized evidence-based management tailored to each individual patient. Multidisciplinary team (MDT) meetings provide a platform for key experts from various disciplines to contribute specific advice on the management of each individual patient. As assessment of mediastinal lymph node involvement is an important component of lung cancer staging, optimal mediastinal staging can be achieved with a variety of techniques that can be discussed and performed by the various specialists in the MDT. Despite a relative paucity of quality evidence that MDT contributes to improvements in lung cancer survival outcomes, this approach has evolved to become the standard of care in many centers around the world. Thoracic MDT has resulted in more focused and timely investigations for histopathologic diagnosis and disease staging which translate into earlier treatment initiation. Moreover, there is increasing evidence that MDT care facilitates and allows access to investigations that lead to improved accuracy of tumor and nodal staging. However, there is still a paucity of evidence on the accuracy of lung cancer staging in the MDT setting.

Methylation Patterns and Chromatin Accessibility in Neuroendocrine Lung Cancer

Lung cancer is the worldwide leading cause of death from cancer. Epigenetic modifications such as methylation and changes in chromatin accessibility are major gene regulatory mechanisms involved in tumorigenesis and cellular lineage commitment. We aimed to characterize these processes in the context of neuroendocrine (NE) lung cancer. Illumina 450K DNA methylation data were collected for 1407 lung cancers including 27 NE tumors. NE differentially methylated regions (NE-DMRs) were identified and correlated with gene expression data for 151 lung cancers and 31 human tissue entities from the Genotype-Tissue Expression (GTEx) consortium. Assay for transposase-accessible chromatin sequencing (ATAC-seq) and RNA sequencing (RNA-seq) were performed on eight lung cancer cell lines, including three NE cell lines, to identify neuroendocrine specific gene regulatory elements. We identified DMRs with methylation patterns associated with differential gene expression and an NE tumor phenotype. DMR-associated genes could further be split into six functional modules, including one highly specific gene module for NE lung cancer showing high expression in both normal and malignant brain tissue. The regulatory potential of NE-DMRs was further validated in vitro using paired ATAC- and RNA-seq and revealed both proximal and distal regulatory elements of canonical NE-marker genes such as CHGA, NCAM1, INSM1, as well as a number of novel candidate markers of NE lung cancer. Using multilevel genomic analyses of both tumor bulk tissue and lung cancer cell lines, we identified a large catalogue of gene regulatory elements related to the NE phenotype of lung cancer.

Real-world data on patients with metastatic non-small-cell lung cancer treated with checkpoint inhibitors in an Italian Teaching Hospital in 2015-2018

BACKGROUND

Non-small-cell lung carcinoma (NSCLC) accounts for 85-90% of all forms of lung cancer. Immuno-oncology represents a valid new approach but the high cost requires a specific evaluation of the health outcomes. This study describes the real-world efficacy, safety and cost profiles of the new anti-PD-1 immune-checkpoint inhibitors nivolumab and pembrolizumab on a cohort of 56 selected patients with advanced NSCLC.

METHODS

A retrospective, observational analysis was conducted on patients treated with immune checkpoint inhibitors from September 2015 to September 2018 at Azienda Ospedaliera Universitaria "Mater Domini" in Catanzaro, Italy. Data sources were medical records, internal prescription cards and reports of adverse reactions.

RESULTS

Fifty-six patients were diagnosed with advanced NSCLC, 64.3% characterized by a non-squamous histology, 30.3% squamous and 5.4% not specified. First-line treatment with pembrolizumab was administered to 11 patients for an average of 4.4 months, while 45 patients were treated with nivolumab for an average of 8.6 months. Data showed a survival rate of 95% after 6 months and 88% after 12 months. Most patients received immunotherapy as a second-line or subsequent treatment. In terms of prior therapy among all the patients, 43 had received platinum-based treatments. Indirect comparison with other real-world data studies showed variability in methodologies and an alignment in terms of results.

CONCLUSION

This study, based on real-world data, was a first step in the assessment of the impact of the introduction of a significant new class of treatments, i.e. immunotherapy, and covers patients, treatments and outcomes, as well as organizational and economic variables.

Greater specificity of p40 compared with p63 in distinguishing squamous cell carcinoma from adenocarcinoma in effusion cellblocks

Objective

Squamous cell carcinoma (SCC) rarely causes malignant effusions. Distinguishing between SCC and adenocarcinoma in effusion cytology can be a challenge. p63 and p40 have been frequently used to support squamous cell differentiation in both histological and cytological specimens. However, similar results in cytological preparations of effusion fluids have been rarely reported. This study was designed to assess the diagnostic value of p63 and p40 immunoreactivity for the differentiation of SCC from adenocarcinoma in malignant effusions.

Materials and Methods

Immunocytochemical staining of p63 and p40 was performed on thirty cellblock specimens, including ten malignant effusions carrying SCC and twenty malignant effusions showing adenocarcinoma. Any degree of nuclear staining was considered positive.

Results

Of the ten SCC cases, 100% tested positive for both p63 and p40, and most cases showed diffuse staining (>25% of tumor cells). The expression of p63 and p40 was detected in 4 (20%) and 2 (10%) of twenty adenocarcinoma cases, and the extent of staining was all focal (≤25% of tumor cells). The p63 reactivity showed 100% sensitivity, 80% specificity, 71% positive predictive value, and 100% negative predictive value for the differentiation of SCC from adenocarcinoma in malignant effusions. The sensitivity of p40 for SCC was 100%, the specificity was 90%, the positive predictive value was 83%, and the negative predictive value was 100%.

Conclusion

Although p63 and p40 are both useful markers for the diagnosis of SCC in malignant effusions, p40 is more specific than p63 in distinguishing SCC from adenocarcinoma.

Is tissue still the issue in detecting molecular alterations in lung cancer?

Molecular biomarker testing of advanced-stage NSCLC is now considered standard of care and part of the diagnostic algorithm to identify subsets of patients for molecular-targeted treatment. Tumour tissue biopsy is essential for an accurate initial diagnosis, determination of the histological subtype and for molecular testing. With the increasing use of small biopsies and cytological specimens for diagnosis and the need to identify an increasing number of predictive biomarkers, proper management of the limited amount of sampling materials available is important. Many patients with advanced NSCLC do not have enough tissue for molecular testing and/or do not have a biopsy-amenable lesion and/or do not want to go through a repeat biopsy given the potential risks. Molecular testing can be difficult or impossible if the sparse material from very small biopsy specimens has already been exhausted for routine diagnostic purposes. A limited diagnostic workup is recommended to preserve sufficient tissue for biomarker testing. In addition, tumour biopsies are limited by tumour heterogeneity, particularly in the setting of disease resistance, and thus may yield false-negative results. Hence, there have been considerable efforts to determine if liquid biopsy in which molecular alterations can be non-invasively identified in plasma cell-free ctDNA, a potential surrogate for the entire tumour genome, can overcome the issues with tissue biopsies and replace the need for the latter.

Biomarkers for immune checkpoint inhibition in non-small cell lung cancer (NSCLC)

The emergence of immunotherapy has dramatically changed how non-small cell lung cancer is treated, and longer survival is now possible for some patients, even those with advanced disease. Although some patients achieve durable responses to checkpoint blockade, not all experience such benefits, and some suffer from significant immunotoxicities. Given this, biomarkers that predict response to therapy are essential, and testing for tumor programmed death ligand 1(PD-L1) expression is the current standard. The extent of PD-L1 expression determined by immunohistochemistry (IHC) has demonstrated a correlation with treatment response, although limitations with this marker exist. Recently, tumor mutational burden has emerged as an alternative biomarker, and studies have demonstrated its utility, irrespective of the PD-L1 level of a tumor. Gene expression signatures, tumor genotype (such as the presence of an oncogenic driver mutation), as well as the density of tumor-infiltrating lymphocytes in the tumor microenvironment also seem to affect response to immunotherapy and are being researched. Peripheral serum markers are being studied, and some have demonstrated predictive ability, although most are still investigational and need prospective validation. In the current article, the authors review the biomarker PD-L1 as well as other emerging and investigational tissue-based and serum-based markers that have potential to better predict responders to immunotherapy.

The influence of pemetrexed-based continuous maintenance therapy on survival of locally advanced and metastatic lung adenocarcinoma

Background

Patients may receive delayed maintenance therapy (stopping interval over 21 days) due to multi factors in the real-life setting. This retrospective study aims to collect data of pemetrexed-based continuous maintenance therapy, evaluate the impact of prolonged interval periods on clinical outcomes.

Methods

A total of 168 previously untreated stage IIIB or IV lung adenocarcinoma patients received induction chemotherapy with pemetrexed-platinum (PP) with or without antiangiogenesis inhibitors (bevacizumab or rh-endostatin) every 3 weeks for 4-6 cycles. Among them, 112 patients who did not show progression after induction chemotherapy completion were enrolled.

Results

Seventy of the 112 patients received continuous maintenance therapy with pemetrexed with or without antiangiogenesis inhibitors until disease progression; 42 patients did not receive continuous maintenance therapy. Multivariate analysis revealed that only lack of maintenance therapy was independently associated with shorter progression-free survival (PFS) [HR, 4.516 (2.332-8.744), P<0.001]. Brain metastases [HR, 4.263 (1.499-12.127), P=0.007] and lack of maintenance therapy [HR, 4.304 (1.566-11.825), P=0.005] were independent adverse prognostic factors for overall survival (OS). In the maintenance group, most patients delayed continuous maintenance treatment and the median interval between each maintenance therapy cycle was 40 days (range, 21-77 days). The median number of maintenance therapy cycles was 4 (range, 1-26). The best objective response rate (ORR) was higher in the maintenance group than in the non-maintenance group (48.6% and 33.3%). During a median follow-up of 14.6 months, patients in the maintenance group achieved significantly longer PFS (11.5 vs. 6.8 months, P<0.001) and OS (40.1 vs. 18.0 months, P=0.001) compared with those in the non-maintenance group.

Conclusions

Extending maintenance intervals is feasible and continuous maintenance therapy could offer survival benefit in patients who did not show progression after first-line induction treatment for lung adenocarcinoma.

Neutrophil-To-Lymphocyte Ratio Predicted Long-Term Chemotherapy Benefits In Stage IIIB-IV Non-Squamous Non-Small Cell Lung Cancer Patients Without Sensitive Mutations

PURPOSE

To investigate the predictive capability of clinical parameters for long-term chemotherapy benefits among stage IIIB-IV non-squamous non-small cell lung cancer (NSCLC) patients without sensitive mutations.

PATIENTS AND METHODS

We investigated the clinical features of 206 stage IIIB-IV non-squamous NSCLC patients without sensitive mutations and assessed their predictive value for disease control rate (DCR) at 6 and 12 months post-treatment.

RESULTS

Seventy-two patients received docetaxel and platinum-based chemotherapy while 134 received pemetrexed and platinum-based chemotherapy. The 6-month and 12-month DCR were 33 (45.8%) and 6 (8.3%) in the docetaxel group and 69 (51.5%) and 19 (14.2%) in the pemetrexed group, respectively. Univariate Cox regression revealed that age, sex, smoking history, adrenal gland metastasis, stage IV disease, neutrophil-to-lymphocyte ratio (NLR), and serum albumin were associated with unfavorable progression-free survival (PFS). Age, stage IV disease, and NLR were identified as independent predictors of PFS using multivariate analysis. NLR was the only parameter that could predict 3-month and 6-month DCRs. NLR and age were able to predict 12-month DCR, with NLR presenting a larger area under the curve. Kaplan-Meier curves demonstrated that patients with NLR > 2.231 displayed significantly reduced long-term disease control. The group with higher NLR had more male patients, lower ALB levels, and serum sodium levels as well as higher platelet counts.

CONCLUSION

NLR was an independent predictor of long-term chemotherapy benefits among non-squamous NSCLC patients without sensitive mutations. Patients with lower NLR were optimal candidates for chemotherapy. Patients with high NLR may receive alternative treatments or be included in clinical trials.

First-Line Therapies for Metastatic Lung Adenocarcinoma Without a Driver Mutation

Lung cancer is the leading cause of cancer-related death worldwide. The majority of these cancers are non-small-cell lung cancer, of which adenocarcinoma is the most common histologic subtype. Most patients are diagnosed at advanced stages when systemic treatment is needed. Whereas prognosis has improved for patients with targetable driver mutations, the majority of patients do not possess tumors with such molecular mutations. Platinum-based chemotherapy has traditionally been the mainstay of treatment, although in recent years immunotherapy has emerged as a treatment option and can result in robust and durable treatment responses in a subset of patients. Recent clinical trials on novel immunotherapy combinations and immunochemotherapy combinations may broaden the number of patients that may benefit from checkpoint inhibitors and elicit responses in those who otherwise may not have experienced a response to monotherapy with an immunotherapy drug. This review will outline the currently available therapies for the first-line treatment of metastatic adenocarcinoma that do not possess a driver mutation and provide a recommended approach and algorithm by which to select the best first-line therapy.

Abandoning the Notion of Non-Small Cell Lung Cancer

Non-small cell lung cancers (NSCLCs) represent 85% of lung tumors. NSCLCs encompass multiple cancer types, such as adenocarcinomas (LUADs), squamous cell cancers (LUSCs), and large cell cancers. Among them, LUADs and LUSCs are the largest NSCLC subgroups. LUADs and LUSCs appear sharply distinct at the transcriptomic level, as well as for cellular control networks. LUADs show distinct genetic drivers and divergent prognostic profiles versus LUSCs. Therapeutic clinical trials in NSCLC indicate differential LUAD versus LUSC response to treatments. Hence, LUAD and LUSC appear to be vastly distinct diseases at the molecular, pathological, and clinical level. Abandoning the notion of NSCLC may critically help in developing novel, more effective subtype-specific molecular alteration-targeted therapeutic procedures.

A combined gene expression tool for parallel histological prediction and gene fusion detection in non-small cell lung cancer

Accurate histological classification and identification of fusion genes represent two cornerstones of clinical diagnostics in non-small cell lung cancer (NSCLC). Here, we present a NanoString gene expression platform and a novel platform-independent, single sample predictor (SSP) of NSCLC histology for combined, simultaneous, histological classification and fusion gene detection in minimal formalin fixed paraffin embedded (FFPE) tissue. The SSP was developed in 68 NSCLC tumors of adenocarcinoma (AC), squamous cell carcinoma (SqCC) and large-cell neuroendocrine carcinoma (LCNEC) histology, based on NanoString expression of 11 (CHGA, SYP, CD56, SFTPG, NAPSA, TTF-1, TP73L, KRT6A, KRT5, KRT40, KRT16) relevant genes for IHC-based NSCLC histology classification. The SSP was combined with a gene fusion detection module (analyzing ALK, RET, ROS1, MET, NRG1, and NTRK1) into a multicomponent NanoString assay. The histological SSP was validated in six cohorts varying in size (n = 11–199), tissue origin (early or advanced disease), histological composition (including undifferentiated cancer), and gene expression platform. Fusion gene detection revealed five EML4-ALK fusions, four KIF5B-RET fusions, two CD74-NRG1 fusion and three MET exon 14 skipping events among 131 tested cases. The histological SSP was successfully trained and tested in the development cohort (mean AUC = 0.96 in iterated test sets). The SSP proved successful in predicting histology of NSCLC tumors of well-defined subgroups and difficult undifferentiated morphology irrespective of gene expression data platform. Discrepancies between gene expression prediction and histologic diagnosis included cases with mixed histologies, true large cell carcinomas, or poorly differentiated adenocarcinomas with mucin expression. In summary, we present a proof-of-concept multicomponent assay for parallel histological classification and multiplexed fusion gene detection in archival tissue, including a novel platform-independent histological SSP classifier. The assay and SSP could serve as a promising complement in the routine evaluation of diagnostic lung cancer biopsies.

Comparative Effectiveness of Pemetrexed-platinum Doublet Chemotherapy With or Without Bevacizumab as First-line Therapy for Treatment-naive Patients With Advanced Nonsquamous Non-small-cell Lung Cancer in China

PURPOSE

Bevacizumab plus platinum-based doublet chemotherapy is recommended by the National Comprehensive Cancer Network as a category 1 regimen and is widely used in patients with advanced nonsquamous non-small-cell lung cancer (NS-NSCLC). In China, a common first-line chemotherapy for NS-NSCLC is the pemetrexed-platinum doublet regimen (Pem-Pt). However, limited evaluation exists to show the effectiveness of the Pem-Pt + bevacizumab (Bev) regimen in advanced NS-NSCLC. This study describes the treatment patterns, effectiveness, and safety profile of Pem-Pt + Bev in patients with NS-NSCLC in China in clinical practice.

METHODS

Data from eligible patients with advanced NS-NSCLC who received Pem-Pt with (136 patients) or without (97 patients) bevacizumab from January 2012 to March 2017 were retrospectively evaluated. The effectiveness outcomes included the assessment of progression-free survival (PFS) and objective response rate (ORR) in the overall population, the percentage of patients with pleural effusion or brain metastasis, as well as the percentage of patients receiving maintenance therapy. Moreover, the intracranial remission rate in patients with brain metastasis was estimated. Finally, the adverse events with the 2 treatments were addressed.

FINDINGS

Compared with the Pem-Pt regimen, the Pem-Pt + Bev regimen was associated with a significantly longer median PFS and a higher ORR in the overall population (P = 0.0002). An improvement in ORR was observed in Pem-Pt + Bev-treated patients with brain metastasis (P = 0.0045). Moreover, patients receiving Pem-Pt + Bev and maintenance therapy not only showed a longer median PFS than that in those whose treatment was interrupted after induction but also a longer median PFS than that in patients who received Pem-Pt and maintenance therapy. The safety profile was acceptable in all groups, with no observations of hypertension, proteinuria, severe bleeding (1 case of grade I epistaxis was reported with Pem-Pt + Bev), or any unexpected findings reported.

IMPLICATIONS

These results from clinical practice further support the concept that pemetrexed-platinum doublet plus bevacizumab could be an effective and tolerable regimen in patients with advanced NS-NSCLC in China.

CT-pathologic correlation in lung adenocarcinoma and squamous cell carcinoma

Distinguishing lung adenocarcinoma from squamous cell carcinoma (SCC) is clinically important. Computed tomography (CT) scan is an economical, effective, noninvasive, commonly available, and quick diagnostic way for lung cancer. In this study, we aim to compare the CT characteristics in adenocarcinoma and SCC.Data from 275 cases (259 adenocarcinoma and 16 SCC) were retrospectively compared. CT characteristics, including lesion size and shape, single/multifocal lesions, location of the tumor, the margin of lobes, whether the lesion had deep lobulated margin, bronchial cut-off sign, signs of dilated bronchial arteries, signs of vascular bundle thickening, signs of short burrs, spinous processes, and pleural indentation, were compared in 148 cases (137 adenocarcinoma and 11 SCC).Patients with adenocarcinoma were more likely to be female (44.2% vs 25.0%, P = .017). Compared with SCC, adenocarcinomas were more likely to have deep lobulated margin (81.0% vs 54.5%, P = .038), less likely to have smooth lobes margin (2.7% vs 83.3%, P < .001), more likely to have vascular bundle thickening (37.2% vs 0, P = .016) and pleural indentation (59.9% vs 18.2%, P = .01), and marginally less likely to have dilated bronchial arteries (17.5% vs 45.5%, P = .064). No significant difference was observed regarding to characteristics, including tumor size, location of the tumor, signs of bronchial cut-off, dilated bronchial arteries, short burrs, or spinous processes.CT scan has the potential to help to distinguish lung adenocarcinoma and SCC in a fast and commonly available way. CT could be a rough but fast way to diagnosis, and may thus shorten the waiting time to treatment and allow more time for clinicians, patients, and their families to prepare for future treatment.

Discriminating lung adenocarcinoma from lung squamous cell carcinoma using respiration-induced tumor shape changes

Based on 4D-CT, we aimed to characterize the pattern of morphological changes in lung tumors during respiration, and investigated its potential in non-invasively differentiating lung adenocarcinoma (AC) and squamous cell carcinoma (SCC). We applied a 3D surface analysis on 22 tumors (13 AC, 9 SCC) to investigate the tumor regional morphological fluctuations in response to respiration phases. Tumor surface vertices among ten respiratory phases were matched using surface-based registration, and the shape descriptors (ρ and detJ) were calculated and tracked across respiration stages in a regionally aligned scenario. Pair-wise group comparisons were performed between lung AC and SCC subtypes, in terms of ratios of maximal shape changes as well as correlation coefficients between tumor shape and respiratory stage indicators from the lung. AC type tumors had averaged larger surface measurements at exhale than at inhale, and these surface measurements were negatively correlated with lung volumes across respiratory stages. In contrast, SCC type tumors had averaged smaller surface measurements at exhale than at inhale, and the correlations with lung volumes were positive. The group differences in maximal shape changes as well as correlations were both statistically significant (p  <  0.05). We developed a non-invasive lung tumor sub-type detection pipeline based on respiration-induced tumor surface deformation. Significant differences in deformation patterns were detected between lung AC and SCC. The derived surface measurements may potentially serve as a new non-invasive imaging biomarker of lung cancer subtypes.

OPTIMAL and ENSURE trials-based combined cost-effectiveness analysis of erlotinib versus chemotherapy for the first-line treatment of Asian patients with non-squamous non-small-cell lung cancer

OBJECTIVES

Erlotinib, the first generation of epidermoid growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI), has been recommended as an essential treatment in patients with non-small-cell lung cancer (NSCLC) with EGFR mutation. Although it has improved progression-free survival (PFS), overall survival (OS) was limited and erlotinib can be expensive. This cost-effectiveness analysis compares erlotinib monotherapy with gemcitabine-included doublet chemotherapy.

SETTING

First-line treatment of Asian patients with NSCLC with EGFR mutation.

METHODS

A Markov model was created based on the results of the ENSURE (NCT01342965) and OPTIMAL (CTONG-0802) trials which evaluated erlotinib and chemotherapy. The model simulates cancer progression and all causes of death. All medical costs were calculated from the perspective of the Chinese healthcare system.

MAIN OUTCOME MEASURES

The primary outcomes are costs, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs).

RESULTS

The combined PFS was 11.81 months and 5.1 months for erlotinib and chemotherapy, respectively, while the OS was reversed at 24.68 months for erlotinib and 26.16 months for chemotherapy. The chemotherapy arm gained 0.13 QALYs compared with erlotinib monotherapy (1.17 QALYs vs 1.04 QALYs), while erlotinib had lower costs ($55 230 vs $77 669), resulting in an ICER of $174 808 per QALY for the chemotherapy arm, which exceeds three times the Chinese GDP per capita. The most influential factors were the health utility of PFS, the cost of erlotinib and the health utility of progressed disease.

CONCLUSION

Erlotinib monotherapy may be acceptable as a cost-effective first-line treatment for NSCLC compared with gemcitabine-based chemotherapy. The results were robust to changes in assumptions.

TRIAL REGISTRATION NUMBER

NCT01342965 and CTONG-0802.

Novel chemotherapy regimens for advanced lung cancer: have we reached a plateau?

Lung cancer remains the most significant contributor of cancer-related mortality globally. Despite the significant progress over the last decade with the introduction of targeted and immunotherapeutic agents in the treatment of advanced non-small cell lung cancer (NSCLC), chemotherapy is still the appropriate treatment for the majority of patients. Based on clinical evidence, platinum-containing regimens have been established as the cornerstone of treatment as of today. Research efforts to optimize chemotherapy outcomes have led to novel chemotherapy regimens such as the combination of platinum plus pemetrexed as well as the addition of bevacizumab in patients with advanced non squamous NSCLC, and the combination of carboplatin with nanoparticle-albumin bound paclitaxel regardless of histology. In this article, we review clinical data regarding the recent evolution of chemotherapy in the advanced NSCLC setting, and critically evaluate the progress in therapeutic efficacy in terms of survival. We conclusively state that chemotherapy alone has reached a therapeutic plateau and report the current trends in clinical research combining chemotherapy with novel systemic therapies.

Pathology Issues in Thoracic Oncology: Histologic Characterization and Tissue/Plasma Genotyping May Resolve Diagnostic Dilemmas

Lung cancer is a heterogeneous diagnosis that encompasses a spectrum of histologic and molecular subgroups. A paradigm shift favoring selection of treatment based on histologic and molecular makeup has positively affected prognosis for patients with metastatic lung cancer, with select patients experiencing durable responses to treatment. However, prognosis remains poor for the majority of patients. Furthermore, oncologists are increasingly faced with challenging dilemmas related to histopathologic and molecular characterization of tumors, both at diagnosis and during treatment. In this review, we focus on three particular challenges: (1) management of mixed histology tumors, a particularly aggressive group of lung cancers, (2) distinguishing multiple primary lung tumors from intrapulmonary metastases, and (3) incorporation of liquid biopsies into the diagnostic algorithm and subsequent follow-up of patients with advanced lung cancer. This review will summarize the existing literature and highlight the potential for molecular genotyping to help refine approaches to each of these challenges.

Clinicopathological and genetic characteristics of pulmonary large cell carcinoma under 2015 WHO classification: a pilot study

Pulmonary large cell carcinoma (LCC) was re-defined under the 2015 WHO classification criteria. However, the clinicopathological features and genetic mutation statuses of Chinese LCC patients based on the new classification have rarely been investigated. Twenty-four Chinese surgically resected LCC patients previously diagnosed under the 2004 WHO criteria were re-classified under the 2015 WHO criteria. Genetic analysis was performed using next-generation sequencing of 46 cancer-related genes. The correlation of clinicopathological and genetic data was further analyzed. Eight patients were re-defined as LCCs, and 16 patients were defined as non-LCCs under the refined criteria. All LCC patients were male, and 7 patients were smokers. No significant differences in age, gender, smoking status, primary site, TNM staging and overall survival were observed between the LCC and non-LCC patients under the refined criteria. Four of the 8 LCC patients presented TP53 mutations, and no somatic mutations were detected in the other 4 LCCs under the refined criteria. For the 16 non-LCCs, not only TP53 and KRAS but also EGFR, KIT, PIK3CA, PTEN, IDH1, APC, ATM and BRAF mutations were also observed. In addition, LCCs without TP53 mutations did not present any gene mutations under the 2004 or 2015 WHO criteria. Importantly, the patients with TP53 mutation exhibited a trend with a worse survival outcome at the time of follow-up. The new WHO diagnosis criteria have superior performance in precise molecular classification for LCC patients.

Treatment outcomes by histology in REVEL: A randomized phase III trial of Ramucirumab plus docetaxel for advanced non-small cell lung cancer

OBJECTIVES

Ramucirumab, a recombinant human immunoglobulin G1 monoclonal antibody inhibiting vascular endothelial growth factor receptor-2, increased overall survival (OS) combined with docetaxel versus docetaxel alone in non-small cell lung cancer (NSCLC) in the REVEL trial. Pre-specified exploratory analysis examined efficacy and safety by histology.

MATERIALS AND METHODS

1253 patients with NSCLC were randomized to receive ramucirumab (10mg/kg; n=628) plus docetaxel (75mg/m2) or placebo plus docetaxel (n=625) after disease progression on or after platinum-based therapy, with or without bevacizumab or maintenance therapy. OS was analyzed using Kaplan-Meier method. Hazard ratios (HRs) and 95% confidence intervals (CIs) were obtained using an unstratified Cox proportional hazards model. Primary quality-of-life analysis was time to deterioration (TtD) of the Lung Cancer Symptom Scale (LCSS) scores using the Kaplan-Meier method and Cox regression.

RESULTS

Median OS for adenocarcinoma was 11.2 months for ramucirumab-docetaxel (n = 377) and 9.8 months for placebo-docetaxel (n=348); HR=0.83 (95% CI: 0.69-0.99). In squamous disease, median OS was 9.5 months for ramucirumab-docetaxel (n=157) versus 8.2 months for placebo-docetaxel (n=171); HR 0.88 (95% CI: 0.69-1.13). Median OS for other nonsquamous was 10.8 months for ramucirumab-docetaxel (n=74) and 9.3 months for placebo-docetaxel (n=78); HR=0.86 (95% CI: 0.59-1.26). Treatment-emergent adverse events were comparable between treatment arms across histologic subgroups. TtD for LCSS scores was similar between treatment arms in the nonsquamous and squamous subgroups.

CONCLUSION

REVEL demonstrated similar favorable efficacy and manageable safety for ramucirumab-docetaxel across histologic subgroups of NSCLC.