A Comparative Evaluation of TRPS1 and GATA3 in adenoid cystic, secretory, and acinic cell carcinomas of the breast and salivary gland

GATA3 is the most used marker to determine tumors' breast origin, but its diagnostic value in triple-negative breast cancer (TNBC) is limited. The newly identified TRPS1 is highly sensitive and specific for breast carcinoma, especially TNBC. Here, we compared the utility of TRPS1 and GATA3 expression in a subset of salivary gland-type breast tumors (including adenoid cystic, acinic cell, and secretory carcinomas [AdCC, ACC, and SC, respectively]), and we compared TRPS1 and GATA3 expression of such tumors with head and neck (H&N) and AdCC of upper respiratory tumors. TRPS1 was strongly expressed in basaloid TNBC and AdCCs with solid components, including 100 % of mixed and solid breast AdCCs. However, TRPS1 was positive in only 50 % cribriform AdCCs. Expression patterns of TRPS1 in H&N and upper respiratory AdCC were similar. TRPS1 was positive in 30 % of H&N cribriform AdCCs but was strongly expressed in mixed AdCC (67 %) and solid AdCC (100 %). In the upper respiratory AdCCs, TRPS1 was positive in 58.4 % of cribriform AdCCs and positive in 100 % of AdCCs with solid components. On the contrary, GATA3 was negative in predominant AdCCs of the breast, H&N, and upper respiratory tract. These data show that GATA3 and TRPS1 expression varies AdCCs. In addition, TRPS1 and GATA3 expression patterns were similar SC and ACC of breast and H&N. Both markers were positive in SC and negative in ACC. Therefore, TRPS1 and GATA3 cannot be used to differentiate salivary gland-type carcinomas of breast origin from those of upper respiratory or H&N origin.

Pathomic Features Reveal Immune and Molecular Evolution From Lung Preneoplasia to Invasive Adenocarcinoma

Recent statistics on lung cancer, including the steady decline of advanced diseases and the dramatically increasing detection of early-stage diseases and indeterminate pulmonary nodules, mark the significance of a comprehensive understanding of early lung carcinogenesis. Lung adenocarcinoma (ADC) is the most common histologic subtype of lung cancer, and atypical adenomatous hyperplasia is the only recognized preneoplasia to ADC, which may progress to adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) and eventually to invasive ADC. Although molecular evolution during early lung carcinogenesis has been explored in recent years, the progress has been significantly hindered, largely due to insufficient materials from ADC precursors. Here, we employed state-of-the-art deep learning and artificial intelligence techniques to robustly segment and recognize cells on routinely used hematoxylin and eosin histopathology images and extracted 9 biology-relevant pathomic features to decode lung preneoplasia evolution. We analyzed 3 distinct cohorts (Japan, China, and United States) covering 98 patients, 162 slides, and 669 regions of interest, including 143 normal, 129 atypical adenomatous hyperplasia, 94 AIS, 98 MIA, and 205 ADC. Extracted pathomic features revealed progressive increase of atypical epithelial cells and progressive decrease of lymphocytic cells from normal to AAH, AIS, MIA, and ADC, consistent with the results from tissue-consuming and expensive molecular/immune profiling. Furthermore, pathomics analysis manifested progressively increasing cellular intratumor heterogeneity along with the evolution from normal lung to invasive ADC. These findings demonstrated the feasibility and substantial potential of pathomics in studying lung cancer carcinogenesis directly from the low-cost routine hematoxylin and eosin staining.

Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis

Histopathologic whole-slide images (WSI) are generally considered the gold standard for cancer diagnosis and prognosis. Survival prediction based on WSI has recently attracted substantial attention. Nevertheless, it remains a central challenge owing to the inherent difficulties of predicting patient prognosis and effectively extracting informative survival-specific representations from WSI with highly compounded gigapixels. In this study, we present a fully automated cellular-level dual global fusion pipeline for survival prediction. Specifically, the proposed method first describes the composition of different cell populations on WSI. Then, it generates dimension-reduced WSI-embedded maps, allowing for efficient investigation of the tumor microenvironment. In addition, we introduce a novel dual global fusion network to incorporate global and inter-patch features of cell distribution, which enables the sufficient fusion of different types and locations of cells. We further validate the proposed pipeline using The Cancer Genome Atlas lung adenocarcinoma dataset. Our model achieves a C-index of 0.675 (±0.05) in the five-fold cross-validation setting and surpasses comparable methods. Further, we extensively analyze embedded map features and survival probabilities. These experimental results manifest the potential of our proposed pipeline for applications using WSI in lung adenocarcinoma and other malignancies.

Pulmonary Sclerosing Pneumocytomas Mimicking Lung Cancer

Pulmonary sclerosing pneumocytomas are benign tumors. These tumors are often found incidentally and can be challenging to distinguish from lung malignancies. Here, we describe the case of a 31-year-old woman who presented with an incidental finding of a lung nodule in the lingula. She was asymptomatic and had no history of cancer. Positron emission tomography showed [18F] fluorodeoxyglucose (FDG) uptake in the nodule but no FDG-avid mediastinal lymphadenopathy. In view of these findings, a bronchoscopy was performed, and biopsy samples were taken. The final pathological diagnosis revealed a sclerosing pneumocytoma.

Final efficacy outcomes of atezolizumab with chemoradiation for unresectable NSCLC: The phase II DETERRED trial

INTRODUCTION

The phase II DETERRED trial assessed the safety and efficacy of consolidation and concurrent immunotherapy with chemoradiation in unresectable locally advanced non-small cell lung cancer. We present updated efficacy analysis of this trial.

METHODS

The trial was conducted in 2 parts with patients in part 1 (n = 10) receiving chemoradiation with consolidation atezolizumab, while patients in part 2 (n = 30) received concurrent and consolidation atezolizumab. Progression-free survival (PFS), time to second progression (PFS2), and overall survival (OS) were assessed using Kaplan-Meier analysis. Subset analyses were performed by programmed cell death ligand-1 (PD-L1) status and targetable driver oncogene mutation status.

RESULTS

At a median follow-up of 39.2 months, the median PFS for part 1 was 18.9 months and 15.1 months for part 2. Median OS for part 1 was 26.5 months and was not reached for part 2. For the cohort, 3-year OS was 53.8%, while 4-year OS was 47.4%. Patients with targetable driver oncogene mutations had a median PFS of 9.4 months and OS of not reached compared to 16.6 months (HR: 3.49, p = 0.02) and 26.9 months (HR: 0.40, p = 0.12) respectively compared to those without targetable driver oncogene mutations. Patients with PD-L1 < 1% had median PFS of 11.0 months and OS of 26.5 months compared to 27.4 months (HR: 2.01, p = 0.10) and not reached (HR: 1.49, p = 0.41) respectively for those with PD-L1 ≥ 1%.

CONCLUSIONS

In the DETERRED trial, chemoradiation with concurrent and/or consolidative atezolizumab led to comparable efficacy as consolidative durvalumab in the PACIFIC trial. The presence of targetable driver oncogene mutations led to worse PFS, while PD-L1 < 1% trended to worse PFS.

Immunogenomic profiling of lung adenocarcinoma reveals poorly differentiated tumors are associated with an immunogenic tumor microenvironment

OBJECTIVES

Pathologists have routinely observed distinct histologic patterns of growth in early-stage lung adenocarcinoma (LUAD), which have been suggested to be associated with prognosis. Herein, we investigated the relationship between LUAD patterns of growth, as defined by the updated international association for the study of lung cancer (IASLC) grading criteria, and differences in the tumor immune microenvironment to identify predictors of response to immunotherapy.

METHODS

174 resected stage I-III LUAD tumors were classified by histologic pattern of growth (i.e. solid, micropapillary, acinar, papillary, and lepidic) and then grouped as well differentiated, moderately differentiated, and poorly differentiated. Comprehensive multiplatform analysis including whole exome sequencing, gene expression profiling, immunohistochemistry, CIBERSORT, and T-cell receptor sequencing was performed and groups were compared for differences in genomic drivers, immune cell infiltrate, clonality, and survival. Finally, multivariate analysis was performed adjusting for pathologic stage and smoking status.

RESULTS

Poorly differentiated tumors demonstrated a strong association with smoking relative to moderately differentiated or well differentiated tumors. However, unlike in prior reports, poorly differentiated tumors were not associated with a worse survival after curative-intent resection. Genomic analysis revealed that poorly differentiated tumors are associated with high tumor mutation burden but showed no association with oncogenic drivers. Immune analyses revealed that poorly differentiated tumors are associated with increased T-cell clonality, expression of PD-L1, and infiltration by cytotoxic CD8 T-cells, activated CD4 T-cells, and pro-inflammatory (M1) macrophages. Finally, multivariate analysis controlling for stage and smoking status confirmed independence of immune differences between IASLC grade groups.

CONCLUSIONS

Poorly differentiated tumors, as defined by the updated IASLC grading criteria, are associated with a distinct immunogenic tumor microenvironment that predicts for therapeutic response to immune agents, including checkpoint inhibitors, and should be included in the clinical trial design of immunotherapy studies in early-stage lung adenocarcinoma.

Abstract 5305: Delta-like ligand 3 immunohistochemical expression landscape in high-grade lung neuroendocrine tumors

Background: High-grade lung neuroendocrine tumors are a heterogeneous group of cancers with aggressive common features and a lack of effective therapeutic options. Recently, efforts have been made to identify new targets and drugs to improve clinical outcomes in these patients. Because of its high expression in neuroendocrine tumors compared to normal tissue, delta-like ligand 3 (DLL3) has emerged as a new therapeutic target in this setting.1,2 Targeting DLL3 with the half-life extended bispecific T cell engager (HLE BiTE®) immune therapy, tarlatamab, in a phase 1 clinical trial has demonstrated promising anti-tumor activity in small cell lung cancer (SCLC) patients.3 In order to more precisely guide patient selection and clinical trial design, a better understanding and quantification of DLL3 expression is required. Thus, we investigated DLL3 immunohistochemical expression across SCLC, large cell neuroendocrine carcinoma (LCNEC), and neuroendocrine carcinoma with combined histology (CNEC), and its associations with clinicopathological characteristics.

Design: Formalin-fixed and paraffin-embedded surgically resected lung neuroendocrine carcinomas (SCLC, n=17; LCNEC, n=20; CNEC, n=8) were selected based on tissue availability at MD Anderson Cancer Center and stained with a commercially available immunohistochemistry assay for DLL3 (clone SP347, Ventana). Total percentage and intensity of DLL3 expression of neuroendocrine carcinoma cells were scored and the results were presented as H-Score (0-300) and percentage (%) of DLL3 positive tumor cells. We correlated DLL3 expression with clinicopathological characteristics.

Results: DLL3 expression was observed in 37/45 (82%) of all cases (SCLC: %, median=65%, 0-100%; H-score, median=95, 0-175; LCNEC: %, median=65%, 0-100%; H-score, median=100, 0-180; CNEC: %, median=55%, 0-95%; H-score, median=90, 0-175). In patients with LCNEC, DLL3 % was higher in male patients (p=0.0500) and former smokers (p=0.0298) compared to females and current smokers, respectively. No other clinicopathological associations were found with age, Tumor-Node-Metastasis (TNM) staging system, recurrence, neoadjuvant therapy or overall survival.

Conclusion:Our work confirms that most high-grade neuroendocrine tumors express DLL3 across histology types and TNM stage. Our results suggest that a large subset of patients with high-grade lung neuroendocrine tumors may be a target population of interest for DLL3-targeted therapies.

References

1. Saunders LR, et al. Sci Transl Med. 2015;7(302):302ra136.

2. Alì G, et al. Front Oncol. 2021;11:729765.

3. Owonikoko TK, et al. Abstract 8510. Presented at: ASCO Annual Meeting, June 4-8, 2021; Virtual.

Citation Format: Cibelle F. Lima, Pedro S. Rocha, Junya Fujimoto, Allison Stewart, Robert Cardnell, Wei Lu, Khaja Khan, Beate Sable, Aaron R. Ellison, Ignacio I. Wistuba, Carl M. Gay, Neda Kalhor, Lauren A. Byers, Luisa M. Solis-Soto. Delta-like ligand 3 immunohistochemical expression landscape in high-grade lung neuroendocrine tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5305.

Abstract 3260: Enhanced lineage plasticity in RTK-independent TKI-resistant EGFR-mutant NSCLC

Background: Resistance to targeted tyrosine kinase inhibitors (TKI) inevitably develops in metastatic EGFR-mutant non-small cell lung cancer (NSCLC). Resistance mechanisms are diverse, and mechanisms beyond receptor tyrosine kinase (RTK) pathway mutations are poorly understood. We hypothesized that the use of osimertinib as first-line therapy is increasing the prevalence of RTK-independent resistance mechanisms, and that RTK-independent resistant tumors undergo enhanced tumor cell lineage plasticity as an escape mechanism to EGFR TKI therapy.

Methods: We identified patients who developed osimertinib resistance (OR) after first line (1L, n=54) and second line (2L, n=42) treatments and determined the resistance mechanisms based on clinical sequencing and histopathology. We also performed single-cell RNA-seq of 24 samples from 13 patients with EGFRm NSCLC at TKI treatment-naïve (TN, n=2), residual disease (RD, n=4), and progression disease (PD, n=7) stages.

Results: Compared to 2L OR tumors, 1L OR tumors had increased RTK-independent mechanisms of resistance (76% vs. 46%, p=0.002), including 8% with small cell transformation (n=4), 2% with squamous transformation (n=1) and 66% with unknown mechanisms (n=34). To understand inter- and intra-tumor heterogeneity, we analyzed transcriptomic profiles of 76,266 single cells. Lung developmental lineages were assigned to 10,250 EpCAM+ cells, including 4,735 cells classified as malignant cells by inferCNV and RTK signaling analysis. In the two EGFRm TN tumors, the malignant cells demonstrated bronchoalveolar lineage and moderate EGFR expression. In the TKI resistant cases (PD, n=7), both RTK-dependent and RTK-independent resistance were observed. The RTK-dependent tumors (EGFR T790M n=1; ERBB2 amplification n=1) demonstrated preserved bronchoalveolar lineage identity. In the RTK-independent resistant tumors (n=5), one had complete lineage switch from epithelial to small cell neuroendocrine and very low expression level of EGFR. The remaining 4 PD tumors displayed varying expression of epithelial-to-mesenchymal transformation (EMT) features. One tumor had sarcomatoid histology and a high proportion of cells having positive VIM expression (84%) and 92% of cells having complete loss of NAPSA expression; 3 tumors had partial EMT demonstrated by heterogeneous proportion of cells having VIM expression (18-56%) and loss of NAPSA (26-67%). Interestingly, some of the cells with EMT and partial-EMT had moderate levels of EGFR expression, similar to the levels in the TN tumors.

Conclusion: With osimertinib use at 1L, the incidence of RTK-independent resistance has increased to become the dominant mechanism, whereas RTK-dependent resistance has decreased. Increased lineage plasticity (small cell neuroendocrine, squamous and EMT) potentially serves as an RTK-independent TKI-resistance mechanism in EGFRm NSCLC.

Citation Format: Xiuning Le, Ruiping Wang, Natalie Vokes, Yasir Elamin, Neda Kalhor, Daniel McGrail, Yuanxin Xi, Santiago Treviño III, Lingzhi Hong, Robyn Du, George Blumenschein, Carl Gay, Marcelo Negrao, Mehmet Altan, Hai Tran, Limei Hu, Jing Wang, Simon Heeke, Monique Nilsson, Jacqulyne Robichaux, Minghao Dang, Guangchun Han, Lauren Byers, Anne Tsao, Boris Sepesi, Chantale Bernatchez, Jianjun Zhang, Linghua Wang, John Heymach. Enhanced lineage plasticity in RTK-independent TKI-resistant EGFR-mutant NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3260.

The histologic phenotype of lung cancers is associated with transcriptomic features rather than genomic characteristics

Histology plays an essential role in therapeutic decision-making for lung cancer patients. However, the molecular determinants of lung cancer histology are largely unknown. We conduct whole-exome sequencing and microarray profiling on 19 micro-dissected tumor regions of different histologic subtypes from 9 patients with lung cancers of mixed histology. A median of 68.9% of point mutations and 83% of copy number aberrations are shared between different histologic components within the same tumors. Furthermore, different histologic components within the tumors demonstrate similar subclonal architecture. On the other hand, transcriptomic profiling reveals shared pathways between the same histologic subtypes from different patients, which is supported by the analyses of the transcriptomic data from 141 cell lines and 343 lung cancers of different histologic subtypes. These data derived from mixed histologic subtypes in the setting of identical genetic background and exposure history support that the histologic fate of lung cancer cells is associated with transcriptomic features rather than the genomic profiles in most tumors.

The molecular determinants of lung cancer histologic subtypes are not well understood. Here the authors analyze lung cancers of mixed histology and find that histologic subtypes are associated with transcriptomic features rather than genomic profiles in most tumors.

Typical and Atypical Carcinoid Tumors of the Mediastinum: A Biomarker Analysis of 27 Cases With Clinical Correlation

Thymic typical and atypical carcinoids are rare and appear to be more aggressive than similar tumors in other sites. We retrospectively analyzed a group of biomarkers that hold therapeutic and prognostic utility, in 27 of these tumors. All cases were immunohistochemically stained with PAX5, MET, CRMP5, paxillin, p21, p27, EZH2, PDL-1, and Ki-67, and then H-scored. Clinicopathologic and survival data were statistically analyzed against staining (χ² test). Five- and 10-year-survival rates were 53% and 18%, respectively. Mitotic counts ≥4 per 2 mm² and tumor size ≥5 cm, associated with death of disease (DoD; P = .010 and .016). Ki-67 expression ≥1% associated with DoD (P = .003) and death within 5 years (P = .031). Biomarkers stained tumor cases as follows: PDL-1 = 0%, PAX-5 = 0%, MET = 7.4%, paxillin = 41%, CRMP5 = 78%, p21 = 63%, p27 = 63%, EZH2 = 37%, and MASH1 = 59%. Overall ± staining did not associate with survival or grade. Cases with low CRMP5 H-scores (<80) associated with DoD (P = .002), while CRMP5 H-scores >80 associated with 10-year survival (P = .022). Cases with high MASH1 H-score (>100) associated with DoD (P = .021). Accurate grading and staging remain paramount in predicting clinical outcome. Biomarkers may have significance in subsets of patients and the use of these studies likely should be focused on a more personalize type of approach.

Multiomics profiling of primary lung cancers and distant metastases reveals immunosuppression as a common characteristic of tumor cells with metastatic plasticity

BACKGROUND

Metastasis is the primary cause of cancer mortality accounting for 90% of cancer deaths. Our understanding of the molecular mechanisms driving metastasis is rudimentary.

RESULTS

We perform whole exome sequencing (WES), RNA sequencing, methylation microarray, and immunohistochemistry (IHC) on 8 pairs of non-small cell lung cancer (NSCLC) primary tumors and matched distant metastases. Furthermore, we analyze published WES data from 35 primary NSCLC and metastasis pairs, and transcriptomic data from 4 autopsy cases with metastatic NSCLC and one metastatic lung cancer mouse model. The majority of somatic mutations are shared between primary tumors and paired distant metastases although mutational signatures suggest different mutagenesis processes in play before and after metastatic spread. Subclonal analysis reveals evidence of monoclonal seeding in 41 of 42 patients. Pathway analysis of transcriptomic data reveals that downregulated pathways in metastases are mainly immune-related. Further deconvolution analysis reveals significantly lower infiltration of various immune cell types in metastases with the exception of CD4+ T cells and M2 macrophages. These results are in line with lower densities of immune cells and higher CD4/CD8 ratios in metastases shown by IHC. Analysis of transcriptomic data from autopsy cases and animal models confirms that immunosuppression is also present in extracranial metastases. Significantly higher somatic copy number aberration and allelic imbalance burdens are identified in metastases.

CONCLUSIONS

Metastasis is a molecularly late event, and immunosuppression driven by different molecular events, including somatic copy number aberration, may be a common characteristic of tumors with metastatic plasticity.

Sarcomatoid Mesothelioma: A CDKN2A molecular analysis of 53 cases with immunohistochemical correlation with BAP1

Fifty-three cases of sarcomatoid pleural mesothelioma were evaluated for CDKN2A (p16) homozygous deletion and correlated with BRCA-associated protein-1 (BAP1) expression by immunohistochemistry. The patients are 45 men and 8 women between the ages of 37 and 79 years (average age: 58 years), who presented with symptoms of chest pain, cough, and weight loss. Diagnostic imaging showed the presence of diffuse pleural thickening with encasement of the lung parenchyma in all the cases. All patients were surgically treated with extrapleural pneumonectomy. Loss of BAP1 reactivity was seen in 49 tumors and p16 homozygous deletion was seen in 41 tumors, while in 16 patients either BAP1 or p16 were noncontributory to the diagnosis of mesothelioma. However, we were able to detect a better survival rate in those patients in whom BAP1 was lost and p16 showed homozygous deletion. Our findings showed that even though the use of BAP1 and p16 are important tools in the diagnosis of mesothelioma, a proportion of cases still remains negative with approximately 30 % of the cases in which the concordance of BAP1 loss and p16 homozygous deletion will not be present. We consider that the final diagnosis of mesothelioma is best accomplished by a global interpretation of clinical, radiographic, and pathological features including immunohistochemistry and molecular studies.

Abstract 399: Tertiary lymphoid structures features associate with outcome in non-small cell lung carcinoma

Introduction: Tertiary lymphoid structures (TLS) are ectopic lymphoid structures organized in a nodular pattern secondary to chronic inflammation. The presence of TLS has been associated with efficacious response to immune checkpoint blockade in a wide array of tumor types, including Non-Small Cell Lung Carcinoma (NSCLC). At early stages of NSCLC, TLS are observed in up to 70% of primary tumors where they are also associated with effective anti-tumor immune-responses and response to anti-PD-1 therapy. Despite complete surgical resection, however, up to 50% of patients with early stage NSCLC will eventually relapse. A systematic histomorphologic analysis of TLS and their association with relapse has not been well characterized.

Design: Serial sections from Formalin-Fixed Paraffin-Embedded (FFPE) tissue specimens from 33 patients with stage I NSCLC were obtained (23 adenocarcinomas and 10 squamous cell carcinomas). Slides were stained with hematoxylin and eosin (H&E), immunohistochemistry for Vimentin, and 2 multiplex immunofluorescence (mIF) panels (Panel 1: cytokeratin (CK), CD3, CD8, CD68, PD-1, PD-L1 and DAPI Panel 2: CK, CD3 CD8, CD45RO, FOXP3, Granzyme B and DAPI). TLS were classified based on the H&E and Vimentin analysis into lymphoid aggregates (LA), immature TLS (iTLS), and mature TLS (mTLS). Morphometric analysis (number, area, and distance to nearest malignant cell) of intratumoral (IT) and peritumoral (PT) TLS was performed. mIF slides were scanned and IT representative areas were selected for cell densities and percentage quantification of immune-phenotypes. Morphometric analysis of TLSs was correlated with clinical outcomes, and tumor infiltrating immune cells.

Results: Patients who recurred had fewer IT mTLS (1.8 vs 6; p=0.02) and smaller area of mTLS (64541.7μm2 vs 149870.5 μm2; p=0.004) compared with patients who did not recurr.The cell density of IT antigen-experienced cytotoxic T-lymphocytes (CTLs), regulatory T-cells, memory CTLs, and memory CTLs expressing FOXP3 were inversely correlated with the mTLS area (r=-0.6, p≤0.02). Antigen-experienced CTLs (r=-0.61; p≤0.05) and non-CTLs (r=-0.63; p≤0.05) were inversely correlated with the number of IT mTLS.

Conclusion: Detailed morphometric analysis of mTLS offers relevant prognostic information for recurrence at stage I of NSCLC. mTLSs are associated with reduced IT infiltration by PD-1+ TILs. Taken together, germinal center development in mTLSs might convey a protective immune response due to immuno-dominant neoantigen presentation. Supported in part by CPRIT RP160668 grant and UT Lung SPORE.

Citation Format: Rossana Natalia Lazcano Segura, Andre Catao, Luisa M. Solis, Mei Jiang, Auriole Tamegnon, Junya Fujimoto, Jaime Rodriguez-Canales, Chi-Wan B. Chow, Carmen Behrens, Neda Kalhor, Annika Weissferdt, John Heymach, Stephen Swisher, Boris Sepesi, Jack Lee, Cesar Moran, Andrew Futreal, Jianjun Zhang, Edwin R. Parra, Ignacio I. Wistuba, Michael T. Tetzlaff, Alejandro Francisco-Cruz. Tertiary lymphoid structures features associate with outcome in non-small cell lung carcinoma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 399.

Single-cell analyses reveal increased intratumoral heterogeneity after the onset of therapy resistance in small-cell lung cancer

The natural history of small cell lung cancer (SCLC) includes rapid evolution from chemosensitivity to chemoresistance, although mechanisms underlying this evolution remain obscure due to scarcity of post-relapse tissue samples. We generated circulating tumor cell (CTC)-derived xenografts (CDXs) from SCLC patients to study intratumoral heterogeneity (ITH) via single-cell RNAseq of chemo-sensitive and -resistant CDXs and patient CTCs. We found globally increased ITH including heterogeneous expression of therapeutic targets and potential resistance pathways, such as EMT, between cellular subpopulations following treatment-resistance. Similarly, serial profiling of patient CTCs directly from blood confirmed increased ITH post-relapse. These data suggest that treatment-resistance in SCLC is characterized by coexisting subpopulations of cells with heterogeneous gene expression leading to multiple, concurrent resistance mechanisms. These findings emphasize the need for clinical efforts to focus on rational combination therapies for treatment-naïve SCLC tumors to maximize initial responses and counteract the emergence of ITH and diverse resistance mechanisms.

A Phase I/II Study of Neoadjuvant Cisplatin, Docetaxel, and Nintedanib for Resectable Non-Small Cell Lung Cancer

PURPOSE

Nintedanib enhances the activity of chemotherapy in metastatic non-small cell lung cancer (NSCLC). In this phase I/II study, we assessed safety and efficacy of nintedanib plus neoadjuvant chemotherapy, using major pathologic response (MPR) as primary endpoint.

PATIENTS AND METHODS

Eligible patients had stage IB (≥4 cm)-IIIA resectable NSCLC. A safety run-in phase was followed by an expansion phase with nintedanib 200 mg orally twice a day (28 days), followed by three cycles of cisplatin (75 mg/m²), docetaxel (75 mg/m²) every 21 days plus nintedanib, followed by surgery. With 33 planned patients, the study had 90% power to detect an MPR increase from 15% to 35%.

RESULTS

Twenty-one patients (stages I/II/III, N = 1/8/12) were treated. One of 15 patients treated with nintedanib 200 mg achieved MPR [7%, 95% confidence interval (CI), 0.2%-32%]. Best ORR in 20 evaluable patients was 30% (6/20, 95% CI, 12%-54%). Twelve-month recurrence-free survival and overall survival were 66% (95% CI, 47%-93%) and 91% (95% CI, 79%-100%), respectively. Most frequent treatment-related grade 3-4 toxicities were transaminitis and electrolyte abnormalities. On the basis of an interim analysis the study was discontinued for futility. Higher levels of CD3⁺ and cytotoxic CD3⁺CD8⁺ T cells were found in treated tumors of patients who were alive than in those who died (652.8 vs. 213.4 cells/mm², P = 0.048; 142.3 vs. 35.6 cells/mm², P = 0.018).

CONCLUSIONS

Although tolerated, neoadjuvant nintedanib plus chemotherapy did not increase MPR rate compared with chemotherapy historical controls. Additional studies of the combination in this setting are not recommended. Posttreatment levels of tumor-infiltrating T cells were associated with patient survival. Use of MPR facilitates the rapid evaluation of neoadjuvant therapies.See related commentary by Blakely and McCoach, p. 3499.

Immune regulatory markers of lepidic-pattern adenocarcinomas presenting as ground glass opacities

Background

The tumor immune microenvironment of lepidic-pattern adenocarcinoma remains poorly understood. In this study, we characterized tumor infiltrating lymphocytes (TILs) and percent PD-L1 expression among adenocarcinoma presenting as either radiographic ground glass opacities (GGOs) or solid lesions.

Methods

Pathologic specimens of patients with clinical stage I lung adenocarcinoma were analyzed using tissue microarray sectioning. The invasive portion of the tumor was selected for the tissue core. Lepidic growth pattern was confirmed among the GGO lesions using whole section analysis. Progression was defined as pN+ or subsequent recurrence.

Results

A total of 181 patients were identified, among whom 13 (7%) represented GGOs without clinical progression, 113 (62%) represented radiographic solid lesions that never progressed, and 55 (30%) represented radiographic solid lesions that ultimately did progress. CD57+ cell density, a marker for antigen-specific, oligoclonal T cells and NK cells, differed among the three cohorts, with the highest cell density observed within radiographically solid lesions without progression, and lower cell density both in the radiographic solid lesions that progressed and GGOs. Other TIL phenotypes were not statistically different between cohorts. Of substantial clinical interest, median percent PD-L1 positive cells within GGOs was 14, whereas that of radiographic solid lesions without progression was 22, and radiographic solid lesions that subsequently progressed was 27 (P=0.07).

Conclusions

Lepidic pattern adenocarcinoma presenting as GGOs and radiographic solid lesions show differential immune regulation. Further studies to investigate whether GGOs representing adenocarcinoma have varying susceptibility to immune checkpoint inhibitor therapy are warranted.

ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network

BACKGROUND

The spatial distributions of different types of cells could reveal a cancer cell's growth pattern, its relationships with the tumor microenvironment and the immune response of the body, all of which represent key "hallmarks of cancer". However, the process by which pathologists manually recognize and localize all the cells in pathology slides is extremely labor intensive and error prone.

METHODS

In this study, we developed an automated cell type classification pipeline, ConvPath, which includes nuclei segmentation, convolutional neural network-based tumor cell, stromal cell, and lymphocyte classification, and extraction of tumor microenvironment-related features for lung cancer pathology images. To facilitate users in leveraging this pipeline for their research, all source scripts for ConvPath software are available at https://qbrc.swmed.edu/projects/cnn/.

FINDINGS

The overall classification accuracy was 92.9% and 90.1% in training and independent testing datasets, respectively. By identifying cells and classifying cell types, this pipeline can convert a pathology image into a "spatial map" of tumor, stromal and lymphocyte cells. From this spatial map, we can extract features that characterize the tumor micro-environment. Based on these features, we developed an image feature-based prognostic model and validated the model in two independent cohorts. The predicted risk group serves as an independent prognostic factor, after adjusting for clinical variables that include age, gender, smoking status, and stage.

INTERPRETATION

The analysis pipeline developed in this study could convert the pathology image into a "spatial map" of tumor cells, stromal cells and lymphocytes. This could greatly facilitate and empower comprehensive analysis of the spatial organization of cells, as well as their roles in tumor progression and metastasis.

Phase II Trial of Concurrent Atezolizumab With Chemoradiation for Unresectable NSCLC

INTRODUCTION

Consolidation durvalumab after chemoradiation (CRT) is the current standard of care for locally advanced NSCLC. We hypothesized that adding immunotherapy concurrently with CRT (cCRT) would increase efficacy without additive toxicity.

METHODS

This phase II study was conducted in two parts. Part 1 (n = 10) involved administration of conventionally fractionated CRT followed by consolidation chemotherapy (atezolizumab [two cycles] and maintenance atezolizumab up to 1 y). Part 2 (n = 30) involved administration of cCRT with atezolizumab followed by the same consolidation and maintenance therapies as in part 1. Programmed cell death ligand-1 staining cutoffs (1% or 50%) using Dako 22C3 immunohistochemistry were correlated with clinical outcomes.

RESULTS

The overall toxicities for part 1/2 were overall adverse events of grade 3 and above of 80%/80%; immune-related adverse events of grade 3 and above of 30%/20%; and pneumonitis of grade 2 and above of 10%/16%, respectively. In part 1, for preliminary efficacy results, with a median follow-up of 22.5 months, the median progression-free survival was 18.6 months, and the overall survival was 22.8 months. In part 2, with a median follow-up time of 15.1 months, the median progression-free survival was 13.2 months, and the overall survival was not reached. There was no difference in cancer recurrence regardless of programmed cell death ligand-1 status.

CONCLUSIONS

Atezolizumab with cCRT is safe and feasible and has no added toxicities compared with historical rates.

The Prognostic and Therapeutic Role of Genomic Subtyping by Sequencing Tumor or Cell-Free DNA in Pulmonary Large-Cell Neuroendocrine Carcinoma

PURPOSE

The optimal systemic treatment for pulmonary large-cell neuroendocrine carcinoma (LCNEC) is still under debate. Previous studies showed that LCNEC with different genomic characteristics might respond differently to different chemotherapy regimens. In this study, we sought to investigate genomic subtyping using cell-free DNA (cfDNA) analysis in advanced LCNEC and assess its potential prognostic and predictive value.

EXPERIMENTAL DESIGN

Tumor DNA and cfDNA from 63 patients with LCNEC were analyzed by target-captured sequencing. Survival and response analyses were applied to 54 patients with advanced stage incurable disease who received first-line chemotherapy.

RESULTS

The mutation landscape of frequently mutated cancer genes in LCNEC from cfDNA closely resembled that from tumor DNA, which led to a 90% concordance in genomic subtyping. The 63 patients with LCNEC were classified into small-cell lung cancer (SCLC)-like and non-small cell lung cancer (NSCLC)-like LCNEC based on corresponding genomic features derived from tumor DNA and/or cfDNA. Overall, patients with SCLC-like LCNEC had a shorter overall survival than those with NSCLC-like LCNEC despite higher response rate (RR) to chemotherapy. Furthermore, treatment with etoposide-platinum was associated with superior response and survival in SCLC-like LCNEC compared with pemetrexed-platinum and gemcitabine/taxane-platinum doublets, while treatment with gemcitabine/taxane-platinum led to a shorter survival compared with etoposide-platinum or pemetrexed-platinum in patients with NSCLC-like LCNEC.

CONCLUSIONS

Genomic subtyping has potential in prognostication and therapeutic decision-making for patients with LCNEC and cfDNA analysis may be a reliable alternative for genomic profiling of LCNEC.

Driver Mutations in Normal Airway Epithelium Elucidate Spatiotemporal Resolution of Lung Cancer

Rationale: Uninvolved normal-appearing airway epithelium has been shown to exhibit specific mutations characteristic of nearby non-small cell lung cancers (NSCLCs). Yet, its somatic mutational landscape in patients with early-stage NSCLC is unknown.Objectives: To comprehensively survey the somatic mutational architecture of the normal airway epithelium in patients with early-stage NSCLC.Methods: Multiregion normal airways, comprising tumor-adjacent small airways, tumor-distant large airways, nasal epithelium and uninvolved normal lung (collectively airway field), matched NSCLCs, and blood cells (n = 498) from 48 patients were interrogated for somatic single-nucleotide variants by deep-targeted DNA sequencing and for chromosomal allelic imbalance events by genome-wide genotype array profiling. Spatiotemporal relationships between the airway field and NSCLCs were assessed by phylogenetic analysis.Measurements and Main Results: Genomic airway field carcinogenesis was observed in 25 cases (52%). The airway field epithelium exhibited a total of 269 somatic mutations in most patients (n = 36) including key drivers that were shared with the NSCLCs. Allele frequencies of these acquired variants were overall higher in NSCLCs. Integrative analysis of single-nucleotide variants and allelic imbalance events revealed driver genes with shared "two-hit" alterations in the airway field (e.g., TP53, KRAS, KEAP1, STK11, and CDKN2A) and those with single hits progressing to two in the NSCLCs (e.g., PIK3CA and NOTCH1).Conclusions: Tumor-adjacent and tumor-distant normal-appearing airway epithelia exhibit somatic driver alterations that undergo selection-driven clonal expansion in NSCLC. These events offer spatiotemporal insights into the development of NSCLC and, thus, potential targets for early treatment.

Abstract 1180: Impact of the spatial analysis of tumor-associated lymphocytes and tumor-associated macrophages on recurrence at early stage of non-small cell lung carcinoma

Introduction. The interaction between malignant cells (MCs), stromal cells, tumor-associated lymphocytes (TILs), and tumor-associated macrophages (TAMs) is relevant for non-small cell lung carcinoma (NSCLC) progression. The spatial distribution of those cells may affect the prognosis and can be related to genetic intra-tumor heterogeneity (ITH). The aim of this study was to characterize the immunologic ITH and the spatial distribution of immune cells to MCs in primary NSCLC tumors at early stages using multiplex immunofluorescence (mIF) and image analysis approaches.

Material and methods. We studied 33 surgically resected NSCLC cases (adenocarcinomas=23; squamous-cell carcinomas=10) with a history of recurrence in a follow-up of at least 60 months (recurrence, N=13; non-recurrence, N=15). Consecutive FFPE tissue sections were stained with two mIF panels (panel 1: cytokeratin (AE1/AE3), PD-L1, PD-1, CD3, CD8, and CD68; panel 2: AE1/AE3, CD3, CD8, granzyme-B, CD45RO, and FOXP3). Three intra-tumor regions (3mm2 each) per case were selected after gridding the whole tumor section. A total of 99 intratumor regions were scanned and analyzed using Vectra Multispectral-Microscope and InForm-software. From each intratumor region, TILs and TAMs densities, as well as the coefficient of variation, were evaluated. The median distance and the G-Cross area under the curve (AUC) for specific radial distances (10µm, 20µm, and 40µm) were obtained between TILs and TAMs phenotypes to MCs.

Results. Recurrence was associated with higher MCs density and TAMs/TILs ratio, and lower TIL densities. A high ITH of cytotoxic T-cells (CTLs) PD-L1+ was associated with worse survival. The distance of TAMs PD-L1+ to MCs PD-L1 negative (60µm vs 25µm) or to MCs PD-L1 positive (25µm vs 13µm) was higher in the non-recurrence group than in recurrence group. Close TAMs PD-L1+ to MCs was associated with worst survival. In a radial distance of 10µm, 20µm, and 40µm, a higher infiltration of CTLs PD-1+, was observed in the group of recurrence than non-recurrence group, surrounding MCs PD-L1 negative (AUC 0.49, 3.80, and 20.03; vs AUC 0.01, 0.16, and 1.29, respectively), and MCs PD-L1 positive (AUC 0.60, 4.35, and 19.90; vs AUC 0.01, 0.20, and 2.20, respectively). A high infiltration of CTLs PD-1+ surrounding MCs, with or without expression of PD-L1, was associated with worse survival. All the differences were statistically significant (P&lt;0.05).

Conclusion. Close spatial proximity of antigen-experienced CTLs and TAMs PD-L1+ to MCs are associated with recurrence and poor survival in early stages of NSCLC. We determined that ITH of immune cell densities is associated with recurrence of surgically resected NSCLC. Tumor-immune cell spatial modeling offers a deep understanding of tumor microenvironment that impacts on clinical outcomes. Supported by CPRITRP160668 and UT Lung SPORE grants

Citation Format: Alejandro Francisco-Cruz, Edwin R. Parra, Santhoshi N. Krishnan, Souptik Barua, Mei Jiang, Junya Fujimoto, Christine B. Peterson, Priyam Das, Chi-Wan Chow, Jaime Rodriguez-Canales, Carmen Behrens, Neda Kalhor, Annikka Weissferdt, John Heymach, Stephen Swisher, Boris Sepesi, Arvind Rao, J. Jack Lee, Cesar Moran, Andrew Futreal, Jianjun Zhang, Ignacio I. Wistuba. Impact of the spatial analysis of tumor-associated lymphocytes and tumor-associated macrophages on recurrence at early stage of non-small cell lung carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1180.

Abstract 2899: Single-cell analyses reveal increasing intratumoral heterogeneity as an essential component of treatment resistance in small cell lung cancer

Small cell lung cancer (SCLC) is an aggressive malignancy characterized by rapid onset of platinum-resistance. However, mechanisms underlying platinum-resistance remain obscure due to scarcity of tissue samples from relapsed patients. We generated circulating tumor cell (CTC)-derived xenograft (CDX) models from SCLC patients that recapitulate patient tumor genomics and response to platinum chemotherapy. Little is known about whether intratumoral heterogeneity (ITH) exists in SCLC and how it may contribute to clinical outcomes and development of treatment resistance. To investigate this, we performed baseline single-cell RNAseq analyses of platinum-sensitive and -resistant CDX models, as well as longitudinal single-cell RNAseq analyses of CDX models and patient CTCs over the course of therapy. Within each CDX model, we observe not only increased ITH with resistance (variance-based metric, P=0.018), but distinct cellular populations with unique gene signatures associated with resistance (e.g. EMT, DNA damage repair, MYC activation, etc.). To confirm this relationship between ITH and resistance, platinum-sensitive CDX models were subjected to extended treatment with DNA damage response targeted therapies until relapse occurred. Single-cell RNAseq confirmed that, as predicted, untreated tumors were molecularly homogeneous, while relapse was associated with increased ITH and multiple, concurrent mechanisms of resistance, including TGF beta signaling and G2/M checkpoints. Unexpectedly, we found variations in the mechanisms of resistance within replicate treatment-relapsed mice, suggesting that resistance even to molecularly targeted therapies does not follow a predictable, reproducible pathway. For example, onset of resistance to a PARP inhibitor resulted in upregulation of NOTCH signaling in one tumor, but not others. Similarly, longitudinal single-cell profiling of CTCs directly from patient blood before, during, and after platinum-relapse confirmed increased ITH post-relapse accompanying unique mechanisms of resistance within specific cell populations (e.g., MYC activation, EMT, and TNFα signaling). We independently found ITH of protein expression (e.g., SLFN11, EZH2, EMT) in CTCs isolated from patient blood, signifying a method for measuring ITH clinically. These data suggest that treatment resistance in SCLC entails a fluid process of shifting expression profiles to generate an increasingly heterogeneous tumor with multiple, disparate mechanisms of resistance. Clinically, these findings imply that drug development efforts in this disease should focus on combination or maintenance therapies for treatment-naïve SCLC tumors to maximize depth of initial responses and delay the onset of resistance defined by ITH.

Citation Format: C. Allison Stewart, Carl M. Gay, Yuanxin Xi, Junya Fujimoto, Neda Kalhor, Patrice M. Hartsfield, Hai Tran, Luisa Fernandez, David Lu, Yipeng Wang, Ryan Dittamore, Jianjun Zhang, Stephen G. Swisher, Jack A. Roth, Trudy G. Oliver, John V. Heymach, Ignacio I. Wistuba, Bonnie S. Glisson, Paul Robson, Jing Wang, Lauren A. Byers. Single-cell analyses reveal increasing intratumoral heterogeneity as an essential component of treatment resistance in small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2899.

Development and Validation of a Pathology Image Analysis-based Predictive Model for Lung Adenocarcinoma Prognosis - A Multi-cohort Study

Prediction of disease prognosis is essential for improving cancer patient care. Previously, we have demonstrated the feasibility of using quantitative morphological features of tumor pathology images to predict the prognosis of lung cancer patients in a single cohort. In this study, we developed and validated a pathology image-based predictive model for the prognosis of lung adenocarcinoma (ADC) patients across multiple independent cohorts. Using quantitative pathology image analysis, we extracted morphological features from H&E stained sections of formalin fixed paraffin embedded (FFPE) tumor tissues. A prediction model for patient prognosis was developed using tumor tissue pathology images from a cohort of 91 stage I lung ADC patients from the Chinese Academy of Medical Sciences (CAMS), and validated in ADC patients from the National Lung Screening Trial (NLST), and the UT Special Program of Research Excellence (SPORE) cohort. The morphological features that are associated with patient survival in the training dataset from the CAMS cohort were used to develop a prognostic model, which was independently validated in both the NLST (n = 185) and the SPORE (n = 111) cohorts. The association between predicted risk and overall survival was significant for both the NLST (Hazard Ratio (HR) = 2.20, pv = 0.01) and the SPORE cohorts (HR = 2.15 and pv = 0.044), respectively, after adjusting for key clinical variables. Furthermore, the model also predicted the prognosis of patients with stage I ADC in both the NLST (n = 123, pv = 0.0089) and SPORE (n = 68, pv = 0.032) cohorts. The results indicate that the pathology image-based model predicts the prognosis of ADC patients across independent cohorts.

Micropapillary adenocarcinoma of lung: Morphological criteria and diagnostic reproducibility among pulmonary pathologists

CONTEXT

Invasive micropapillary adenocarcinoma (MPC) is an aggressive variant of lung adenocarcinoma, frequently manifesting with advanced stage lymph node metastasis and decreased survival.

OBJECTIVE

Identification of this morphology is important, as it is strongly correlated with poor prognosis regardless of the amount of MPC component. To date, no study has investigated the morphological criteria used to objectively diagnose it.

DESIGN

Herein, we selected 30 cases of potential MPC of lung, and distributed 2 digital images per case among 15 pulmonary pathology experts. Reviewers were requested to diagnostically interpret, assign the percentage of MPC component, and record the morphological features they identified. The noted features included: columnar cells, elongated slender cell nests, extensive stromal retraction, lumen formation with internal epithelial tufting, epithelial signet ring-like forms, intracytoplasmic vacuolization, multiple nests in the same alveolar space, back-to-back lacunar spaces, epithelial nest anastomosis, marked pleomorphism, peripherally oriented nuclei, randomly distributed nuclei, small/medium/large tumor nest size, fibrovascular cores, and spread through air-spaces (STAS).

RESULTS

Cluster analysis revealed three subgroups with the following diagnoses: "MPC", "combined papillary and MPC", and "others". The subgroups correlated with the reported median percentage of MPC. Intracytoplasmic vacuolization, epithelial nest anastomosis/confluence, multiple nests in the same alveolar space, and small/medium tumor nest size were the most common criteria identified in the cases diagnosed as MPC. Peripherally oriented nuclei and epithelial signet ring-like forms were frequently identified in both the "MPC" and "combined papillary and MPC" groups.

CONCLUSIONS

Our study provides objective diagnostic criteria to diagnose MPC of lung.

Thymomas With a Prominent Alveolar Growth Pattern: A Clinicopathologic and Immunohistochemical Study of 12 Cases

Objectives

Twelve cases of thymomas with prominent alveolar-like growth pattern are presented.

Methods

The 12 cases were identified during a review of more than 350 cases of thymomas.

Results

The patients were five women and seven men between the ages of 48 and 69 years (mean, 58.5 years). Clinically, all patients presented with nonspecific symptoms. Grossly the tumors varied in size from 3.5 to 5 cm in greatest diameter. Histologically, all tumors showed a predominant alveolar-like growth pattern without a significant lymphocytic component. Immunohistochemistry showed positive staining for pan-keratin, keratin 5/6, and p63. Clinical follow-up showed that nine patients have remained alive and well with no recurrence, while no follow-up was obtained in three patients.

Conclusions

The cases herein described highlight the spectrum of growth patterns that thymomas may show and also highlight the importance to keep thymomas in the differential diagnosis of tumor with prominent alveolar-like growth pattern.

Concomitant targeting of the mTOR/MAPK pathways: novel therapeutic strategy in subsets of RICTOR/KRAS-altered non-small cell lung cancer

Despite a therapeutic paradigm shift into targeted-driven medicinal approaches, resistance to therapy remains a hallmark of lung cancer, driven by biological and molecular diversity. Using genomic and expression data from advanced non-small cell lung cancer (NSCLC) patients enrolled in the BATTLE-2 clinical trial, we identified RICTOR alterations in a subset of lung adenocarcinomas and found RICTOR expression to carry worse overall survival. RICTOR-altered cohort was significantly enriched in KRAS/MAPK axis mutations, suggesting a co-oncogenic driver role in these molecular settings. Using NSCLC cell lines, we showed that, distinctly in KRAS mutant backgrounds, RICTOR blockade impairs malignant properties and generates a compensatory enhanced activation of the MAPK pathway, exposing a unique therapeutic vulnerability. In vitro and in vivo concomitant pharmacologic inhibition of mTORC1/2 and MEK1/2 resulted in synergistic responses of anti-tumor effects. Our study provides evidence of a distinctive therapeutic opportunity in a subset of NSCLC carrying concomitant RICTOR/KRAS alterations.

Incorporation of Cervista Human Papillomavirus 16/18 Assay Into Algorithms for Classifying Human Papillomavirus Status in Formalin-Fixed, Paraffin-Embedded Head and Neck Squamous Carcinoma Specimens

CONTEXT.—

Human papillomavirus (HPV) DNA in situ hybridization (ISH) assay and p16 immunohistochemistry (IHC) are used to determine high-risk HPV status in formalin-fixed, paraffin-embedded (FFPE) tissues in oropharyngeal squamous cell carcinoma (SCC). Although high sensitivity and specificity for HPV can be obtained by combined p16 IHC and HPV DNA ISH, the occasional discrepancy between these assays has prompted evaluation of Cervista HPV assays in FFPE tissue from patients with oropharyngeal SCC.

OBJECTIVE.—

To compare the efficacy of Cervista HPV 16/18 and Cervista HPV HR assay to that of HPV DNA ISH assay and p16 IHC in FFPE tissue in head and neck squamous cell carcinoma of oropharyngeal origin.

DESIGN.—

Archived FFPE tissue from 84 patients with SCC of oropharyngeal origin and available HPV DNA ISH and p16 IHC test results were tested with the Cervista HPV 16/18 assay and further verified by polymerase chain reaction (PCR)-based HPV16/18 genotyping tests in cases with discrepancy.

RESULTS.—

Of the 84 specimens, 75% (63 of 84) were positive and 16% (13 of 84) had discrepant or equivocal findings by p16 IHC and HPV DNA ISH testing. Use of Cervista HPV assays, either to clarify discrepant/equivocal findings or as confirmation after initial p16 IHC/HPV DNA ISH tests, identified 81% (68 of 84) of HPV-positive cases without equivocal HPV results. Five of 13 cases with discrepancy or equivocal HPV DNA ISH results tested positive for HPV16 or HPV18 by Cervista HPV 16/18 assay, which was further confirmed by PCR-based HPV 16/18 genotyping.

CONCLUSIONS.—

The Cervista HPV assays are a reasonable alternative to HPV DNA ISH in determining HPV status in FFPE tissue specimens from patients with oropharyngeal SCC.

Abstract 990: Single-cell profiling of small cell lung cancer circulating tumor cell-derived xenograft models reveals intratumoral heterogeneity among mediators of chemoresistance

Small cell lung cancer (SCLC) accounts for 14% of lung cancer diagnoses in the United States and is characterized by rapid onset of chemoresistance and poor clinical outcomes. Once considered a homogeneous disease, recent analyses of SCLC have identified intratumoral heterogeneity (ITH) with respect to NOTCH signaling, ASCL1/NEUROD1 balance and MYC amplification - all of which are potential mechanisms underlying SCLC's aggressive and refractory biology. Unfortunately, patient-derived models of SCLC with which to better characterize the molecular profiles of refractory SCLC are scarce. To address this, we generated circulating tumor cell-derived xenograft (CDX) models from liquid biopsies of patients with treatment-naïve or relapsed SCLC. Each CDX model underwent pathological review to confirm tumors were consistent with SCLC based on histology and standard immunohistochemical markers (e.g., TTF1, chromogranin A, synaptophysin, NCAM). Sequencing of these models revealed mutations typical of SCLC (e.g. TP53, RB1), which were maintained in vivo over multiple passages. Importantly, each model's in vivo response to cisplatin matched the patient's platinum response at the time of CDX generation. At the proteomic level, platinum-resistant models exhibited mTOR activation, increased SOX2 and ATM, and reduced E-cadherin, suggesting a shift toward EMT and cancer stem cell expansion may contribute to resistance. To investigate ITH, we analyzed single-cell gene expression profiles by RNAseq using a droplet-based Chromium Single Cell system that analyzed a filtered subsample of 2000 cells per tumor. Consistent with SCLC, all CDX models contained large numbers of cells expressing neuroendocrine-specific genes (SYP, CHGA). However, Principle Component Analysis revealed that cells from chemosensitive CDX models had distinct expression profiles from resistant models. Using our published EMT gene signature, we found that resistant models had higher proportions of mesenchymal (vs. epithelial) cells. Several other distinctions between sensitive and resistant models were detected at the single-cell level but not in bulk RNA and protein analyses, suggesting that single-cell resolution can identify occult platinum-resistant subpopulations. For example, higher proportions of ASCL1- and DLL3-expressing cells were associated with platinum sensitivity, whereas a shift toward predominant NEUROD1-expression was observed with resistance. Cells expressing each of these three genes were identified across all tumors, suggesting platinum-sensitive and resistant subpopulations are ubiquitous but that even subtle shifts in the fractional distribution of these subsets can exert significant impact on response. These data support further use of single-cell analysis to explore the role of ITH as a driver of drug resistance in SCLC.

Citation Format: C. Allison Stewart, Carl M. Gay, Yuanxin Xi, Siva V., Junya Fujimoto, Pan Tong, Lixia Diao, Lerong Li, Mohan Bolisetty, Neda Kalhor, Patrice Lawson, Mayra Vasquez, Hai Tran, Ignacio I. Wistuba, Bonnie Glisson, Jianjun Zhang, Stephen G. Swisher, Jack A. Roth, John V. Heymach, Paul Robson, Jing Wang, Lauren A. Byers. Single-cell profiling of small cell lung cancer circulating tumor cell-derived xenograft models reveals intratumoral heterogeneity among mediators of chemoresistance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 990.

Abstract 1174: Characterization of the immunologic intra-tumor heterogeneity in early stages of non-small cell lung carcinoma using multiplex immunofluorescence and image analysis approaches

Introduction. Recurrence of non-small cell lung carcinoma (NSCLC) is associated with genetic and epigenetic intra-tumor heterogeneity (ITH). The interaction between malignant cells, stromal cells, and tumor-associated immune-cells (TAICs), such as T-cell lymphocytes (TCLs) and tumor-associated macrophages (TAMs), is important for progression of NSCLC and the characterization of the immunologic ITH might be relevant to predict recurrence in surgically treated patients at early stages of NSCLC. The aim of this study was to characterize the immunologic ITH of primary NSCLC tumors at early stages using image analysis and multiplex immunofluorescence (mIF) approaches.

Material and methods. Eight cases of stage IA and 8 cases of stage IB surgically resected NSCLC (11 adenocarcinomas, ADCs; and 5 squamous-cell carcinomas, SCCs) with a history of early recurrence were selected for this preliminary analysis. Formalin-fixed, paraffin-embedded (FFPE) blocks were obtained and consecutive sections were stained with two panels of mIF for immune profiling, panel 1: pan-cytokeratin (AE1/AE3), PD-L1, PD-1, CD3, CD8, and CD68; panel 2: AE1/AE3, CD3, CD8, granzyme-B (GB), CD45RO, and FOXP3. Three not adjacent, intra-tumor regions (3mm2 each) per case were randomly selected after gridding the whole tumor section. A total of 41 intra-tumor regions were scanned by Vectra multispectral-microscope (PerkinElmer) and analyzed using InForm-software (PerkinElmer). TAICs were quantified in the epithelial and stromal compartments from each intra-tumor region.

Results. The median density of TCLs and TAMs were 1527 cells/mm2 and 635 cells/mm2, respectively, without significant differences between histologic subtypes. TCLs were predominantly concentered in the stromal compartment (median, 2222 cells/mm2) when compared with epithelial compartment (median, 332 cells/mm2). The percentage and density of TCLs and TAMs varied 4 and 8 times, respectively, between cases and regions. Non-cytotoxic T-cells and inactive cytotoxic T-cells were the most prevalent phenotypes. Higher density of TAMs and antigen-experienced TCLs were observed in stage IB than stage IA in the primary tumor of patients with NSCLC.

Conclusion. The characterization of the immunologic ITH of NSCLC is able by mIF and image analysis with FFPE tumor tissue. There is a variability of TAICs densities between regions from the same tumor and different subpopulations were observed. TAMs and exhausted T-cells were more prominent in stage IB (tumor &gt;3cm) suggesting these cells may play an important role in recurrence. Ongoing studies with a larger cohort and comparison with non-recurrent surgically treated patients are warranted. Supported in part by CPRIT RP160668 grant

Citation Format: Alejandro Francisco Cruz, Edwin R. Parra, Mei Jiang, Junya Fujimoto, Chi-Wan Chow, Jaime Rodriguez-Canales, Carmen Behrens, Neda Kalhor, Annikka Weissferdt, John Heymach, Stephen Swisher, Boris Sepesi, J. Jack Lee, Cesar Moran, P. Andrew Futreal, Jianjun Zhang, Ignacio I. Wistuba. Characterization of the immunologic intra-tumor heterogeneity in early stages of non-small cell lung carcinoma using multiplex immunofluorescence and image analysis approaches [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1174.

Abstract 3997: Somatic mutational processes in the cancerization field of the normal-appearing airway reveal early drivers in the development of non-small cell lung cancer

BACKGROUND: There are very few strategies to treat non-small cell lung cancer (NSCLC) at its primitive stages largely due to our poor understanding of molecular aberrations in development of the malignancy and that would be ideal targets for early treatment. Work from our group and others revealed that visually "normal" airway cells carry alterations (e.g. expression and copy number changes) that are characteristic of the nearby lung tumor, signifying a "field of cancerization" that is pertinent to the pathobiology of the tumor. Yet, the landscape of driver alterations in the cancerization field of the normal-appearing airway remains largely unexplored.

METHODS: 409 cancer-associated genes were surveyed by deep targeted sequencing in tumor adjacent (small airways) and distant (mainstem bronchi/large airways, nasal epithelia, normal lung parenchyma) normal-appearing tissues as well as in multi-region tissues from paired tumors contrasting events in blood, for a total of 500 samples from 48 patients with early-stage NSCLC (11 squamous cell carcinomas and 37 adenocarcinomas). Somatic point mutations were interrogated by aggregating multiple mutation callers. Mutation were then paired with our recent study of genome-wide copy number alterations (CNAs) inferred from high-density whole-genome SNP microarrays.

RESULTS: We identified somatic point mutations in 76 normal-appearing field samples (75% of patients) which were overall concordant with profiles in corresponding NSCLCs. Somatic mutation signatures associated with smoking, APOBEC activity and DNA mismatch repair were common to both airway field samples and NSCLCs from smoker cases. Airway field mutation burdens, while varied, increased significantly with proximity to the tumor. Most field mutations were observed in tumor-adjacent small airways (from 31 patients) some of which were in known drivers such as TP53, KEAP1, STK11 and KRAS. Somatic mutations were also identified in more distant normal samples including large airways (TP53, SETD2, CDKN2A), normal lung parenchyma (RB1, RET) and nasal epithelium (AKT1). We then integrated point mutation and CNA data and found "two-hit" gene alteration patterns in airway field samples that were consistent with their matched NSCLCs, including point mutated gene/CNA pairs such as KEAP1 and STK11/19p loss, TP53/17p loss and KRAS/12p gain. Some additional cases exhibited single hits (e.g., TP53) in their airway field progressing to "two-hits" (e.g., TP53/17p loss) in the matched NSCLC.

CONCLUSIONS: Our integrative high-throughput sequence and genome-wide SNP analyses implicate early mutational processes and putative drivers in the progression of the mutagenized "normal" airway field of cancerization to NSCLC thus offering insights into strategies for interception via early detection and personalized prevention.

Citation Format: Smruthy Sivakumar, Yasminka Jakubek, F Anthony San Lucas, Wenhua Lang, Christina McDowell, Zachary Weber, Carmen Behrens, Neda Kalhor, Cesar Moran, Randa El-Zein, Gareth Davies, Junya Fujimoto, Reza Mehran, Stephen G. Swisher, Jing Wang, Jerry Fowler, Steven Dubinett, Avrum E. Spira, Erik Ehli, Ignacio I. Wistuba, Paul Scheet, Humam Kadara. Somatic mutational processes in the cancerization field of the normal-appearing airway reveal early drivers in the development of non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3997.

Effect of neoadjuvant chemotherapy on the immune microenvironment in non-small cell lung carcinomas as determined by multiplex immunofluorescence and image analysis approaches

Background

The clinical efficacy observed with inhibitors of programed cell death 1/programed cell death ligand 1 (PD-L1/PD-1) in cancer therapy has prompted studies to characterize the immune response in several tumor types, including lung cancer. However, the immunological profile of non–small cell lung carcinoma (NSCLC) treated with neoadjuvant chemotherapy (NCT) is not yet fully characterized, and it may be therapeutically important. The aim of this retrospective study was to characterize and quantify PD-L1/PD-1 expression and tumor-associated immune cells (TAICs) in surgically resected NSCLCs from patients who received NCT or did not receive NCT (non-NCT).

Methods

We analyzed immune markers in formalin-fixed, paraffin-embedded tumor tissues resected from 112 patients with stage II/III NSCLC, including 61 non-NCT (adenocarcinoma [ADC] = 33; squamous cell carcinoma [SCC] = 28) and 51 NCT (ADC = 31; SCC = 20). We used multiplex immunofluorescence to identify and quantify immune markers grouped into two 6-antibody panels: panel 1 included AE1/AE3, PD-L1, CD3, CD4, CD8, and CD68; panel 2 included AE1/AE3, PD1, granzyme B, FOXP3, CD45RO, and CD57.

Results

PD-L1 expression was higher (> overall median) in NCT cases (median, 19.53%) than in non-NCT cases (median, 1.55%; P = 0.022). Overall, density of TAICs was higher in NCT-NSCLCs than in non-NCT-NSCLCs. Densities of CD3+ cells in the tumor epithelial compartment were higher in NCT-ADCs and NCT-SCCs than in non-NCT-ADCs and non-NCT-SCCs (P = 0.043). Compared with non-NCT-SCCs, NCT-SCCs showed significantly higher densities of CD3 + CD4+ (P = 0.019) and PD-1+ (P < 0.001) cells in the tumor epithelial compartment. Density of CD68+ tumor-associated macrophages (TAMs) was higher in NCT-NSCLCs than in non-NCT-NSCLCs and was significantly higher in NCT-SCCs than in non-NCT-SCCs. In NCT-NSCLCs, higher levels of epithelial T lymphocytes (CD3 + CD4+) and epithelial and stromal TAMs (CD68+) were associated with better outcome in univariate and multivariate analyses.

Conclusions

NCT-NSCLCs exhibited higher levels of PD-L1 expression and T-cell subset regulation than non-NCT-NSCLCs, suggesting that NCT activates specific immune response mechanisms in lung cancer. These results suggest the need for clinical trials and translational studies of combined chemotherapy and immunotherapy prior to surgical resection of locally advanced NSCLC.

Electronic supplementary material

The online version of this article (10.1186/s40425-018-0368-0) contains supplementary material, which is available to authorized users.

STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma

KRAS is the most common oncogenic driver in lung adenocarcinoma (LUAC). We previously reported that STK11/LKB1 (KL) or TP53 (KP) comutations define distinct subgroups of KRAS-mutant LUAC. Here, we examine the efficacy of PD-1 inhibitors in these subgroups. Objective response rates to PD-1 blockade differed significantly among KL (7.4%), KP (35.7%), and K-only (28.6%) subgroups (P < 0.001) in the Stand Up To Cancer (SU2C) cohort (174 patients) with KRAS-mutant LUAC and in patients treated with nivolumab in the CheckMate-057 phase III trial (0% vs. 57.1% vs. 18.2%; P = 0.047). In the SU2C cohort, KL LUAC exhibited shorter progression-free (P < 0.001) and overall (P = 0.0015) survival compared with KRAS^MUT;STK11/LKB1^WT LUAC. Among 924 LUACs, STK11/LKB1 alterations were the only marker significantly associated with PD-L1 negativity in TMB^{Intermediate/High} LUAC. The impact of STK11/LKB1 alterations on clinical outcomes with PD-1/PD-L1 inhibitors extended to PD-L1-positive non-small cell lung cancer. In Kras-mutant murine LUAC models, Stk11/Lkb1 loss promoted PD-1/PD-L1 inhibitor resistance, suggesting a causal role. Our results identify STK11/LKB1 alterations as a major driver of primary resistance to PD-1 blockade in KRAS-mutant LUAC.Significance: This work identifies STK11/LKB1 alterations as the most prevalent genomic driver of primary resistance to PD-1 axis inhibitors in KRAS-mutant lung adenocarcinoma. Genomic profiling may enhance the predictive utility of PD-L1 expression and tumor mutation burden and facilitate establishment of personalized combination immunotherapy approaches for genomically defined LUAC subsets. Cancer Discov; 8(7); 822-35. ©2018 AACR.See related commentary by Etxeberria et al., p. 794This article is highlighted in the In This Issue feature, p. 781.

Mutation profiles in early-stage lung squamous cell carcinoma with clinical follow-up and correlation with markers of immune function

Background

Lung squamous cell carcinoma (LUSC) accounts for 20–30% of non-small cell lung cancers (NSCLCs). There are limited treatment strategies for LUSC in part due to our inadequate understanding of the molecular underpinnings of the disease. We performed whole-exome sequencing (WES) and comprehensive immune profiling of a unique set of clinically annotated early-stage LUSCs to increase our understanding of the pathobiology of this malignancy.

Methods

Matched pairs of surgically resected stage I-III LUSCs and normal lung tissues (n = 108) were analyzed by WES. Immunohistochemistry and image analysis-based profiling of 10 immune markers were done on a subset of LUSCs (n = 91). Associations among mutations, immune markers and clinicopathological variables were statistically examined using analysis of variance and Fisher’s exact test. Cox proportional hazards regression models were used for statistical analysis of clinical outcome.

Results

This early-stage LUSC cohort displayed an average of 209 exonic mutations per tumor. Fourteen genes exhibited significant enrichment for somatic mutation: TP53, MLL2, PIK3CA, NFE2L2, CDH8, KEAP1, PTEN, ADCY8, PTPRT, CALCR, GRM8, FBXW7, RB1 and CDKN2A. Among mutated genes associated with poor recurrence-free survival, MLL2 mutations predicted poor prognosis in both TP53 mutant and wild-type LUSCs. We also found that in treated patients, FBXW7 and KEAP1 mutations were associated with poor response to adjuvant therapy, particularly in TP53-mutant tumors. Analysis of mutations with immune markers revealed that ADCY8 and PIK3CA mutations were associated with markedly decreased tumoral PD-L1 expression, LUSCs with PIK3CA mutations exhibited elevated CD45ro levels and CDKN2A-mutant tumors displayed an up-regulated immune response.

Conclusion(s)

Our findings pinpoint mutated genes that may impact clinical outcome as well as personalized strategies for targeted immunotherapies in early-stage LUSC.

Immunohistochemical and Image Analysis-Based Study Shows That Several Immune Checkpoints are Co-expressed in Non-Small Cell Lung Carcinoma Tumors

INTRODUCTION

The understanding of immune checkpoint molecules' co-expression in non-small cell lung carcinoma (NCLC) is important to potentially design combinatorial immunotherapy approaches.

METHODS

We studied 225 formalin-fixed, paraffin-embedded tumor tissues from stage I-III NCLCs - 142 adenocarcinomas (ADCs) and 83 squamous cell carcinomas (SCCs) - placed in tissue microarrays. Nine immune checkpoint markers were evaluated; four (programmed death ligand 1 [PD-L1], B7-H3, B7-H4, and indoleamine 2,3-dioxygenase 1 [IDO-1]) expressed predominantly in malignant cells (MCs) and five (inducible T cell costimulator, V-set immunoregulatory receptor, T-cell immunoglobulin mucin family member 3, lymphocyte activating 3, and OX40) expressed mostly in stromal tumor-associated inflammatory cells (TAICs). All markers were examined using a quantitative image analysis and correlated with clinicopathologic features, TAICs, and molecular characteristics.

RESULTS

Using above the median value as positive expression in MCs and high density of TAICs expressing those markers, we identified higher expression of immune checkpoints in SCC than ADC. Common simultaneous expression by MCs was PD-L1 + B7-H3 + IDO-1 in ADC and PD-L1 + B7-H3, or B7-H3 + B7-H4, in SCC. TAICs expressing checkpoint were significantly higher in current smokers than in never smokers. Almost all the immune checkpoint markers showed positive correlation with TAICs expressing inflammatory cell markers. KRAS-mutant ADC specimens showed higher expression of PD-L1 in MCs and of B7-H3, T-cell immunoglobulin mucin family member 3, and IDO-1 in TAICs than wild type. Kaplan-Meier survival curves showed worse prognosis in ADC patients with higher B7-H4 expression by MCs.

CONCLUSIONS

We found frequent immunohistochemical co-expression of immune checkpoints in surgically resected NCLC tumors and correlated with tumor histology, smoking history, tumor size, and the density of inflammatory cells and tumor mutational status.

Integrative proteomic and transcriptomic analysis provides evidence for TrkB (NTRK2) as a therapeutic target in combination with tyrosine kinase inhibitors for non-small cell lung cancer

While several molecular targets have been identified for adenocarcinoma (ACA) of the lung, similar drivers with squamous cell carcinoma (SCC) are sparse. We compared signaling pathways and potential therapeutic targets in lung SCC and ACA tumors using reverse phase proteomic arrays (RPPA) from two independent cohorts of resected early stage NSCLC patients: a testing set using an MDACC cohort (N=140) and a validation set using the Cancer Genome Atlas (TCGA) cohorts. We identified multiple potentially targetable proteins upregulated in SCC, including NRF2, Keap1, PARP, TrkB, and Chk2. Of these potential targets, we found that TrkB also had significant increases in gene expression in SCC as compared to adenocarcinoma. Thus, we next validated the upregulation of TrkB both in vitro and in vivo and found that it was constitutively expressed at high levels in a subset of SCC cell lines. Furthermore, we found that TrkB inhibition suppressed tumor growth, invasiveness and sensitized SCC cells to tyrosine kinase EGFR inhibition in a cell-specific manner.

Programmed death ligand 1 testing in non-small cell lung carcinoma cytology cell block and aspirate smear preparations

BACKGROUND

Immune checkpoint inhibitors targeting the programmed cell death 1 (PD-1) receptor and its ligand, programmed death ligand 1 (PD-L1), have emerged as a therapeutic approach for patients with non-small cell lung carcinoma (NSCLC). PD-L1 expression, assessed by immunohistochemistry (IHC), is used to select patients for PD-1/PD-L1 inhibitor therapy. Most studies have been performed with histology specimens, with limited data available on the performance in cytology specimens. This study evaluated PD-L1 in cytology specimens and compared the results with those from paired core-needle biopsy for concordance.

METHODS

Forty-one NSCLC fine-needle aspiration cases that had paired core-needle biopsy specimens with PD-L1 IHC were selected. A Papanicolaou-stained direct smear and a cell block section from each case were stained with a Dako PD-L1 pharmDx antibody (clone 22C3). Only slides with 100 or more tumor cells (37 smears and 38 cell blocks) were evaluated. Tumor proportion scores (TPS) were assessed on the basis of the partial/complete membranous staining of tumor cells and were correlated with those of paired core-needle biopsy.

RESULTS

All 9 smears that were negative for PD-L1 staining showed 100% concordance with the paired core-needle biopsy, whereas 28 smears with PD-L1 expression showed a similar TPS, except for 1 smear that was discordant. In contrast, 10 negative paired core-needle biopsy cases corresponded to 9 concordant negative cell blocks, whereas 1 cell block had a TPS of 1% to 5%. The remaining 28 cell blocks demonstrated PD-L1 expression, with 22 cases showing a TPS similar to that of the paired core-needle biopsy, whereas 6 cell blocks were discordant, likely because of intratumoral heterogeneity.

CONCLUSIONS

The results show that NSCLC cytology samples evaluated for PD-L1 have high concordance with paired core-needle biopsy samples and can be used for assessing PD-L1 expression. Cancer Cytopathol 2018;126:342-52. © 2018 American Cancer Society.

Taxane-Platin-Resistant Lung Cancers Co-develop Hypersensitivity to JumonjiC Demethylase Inhibitors

Although non-small cell lung cancer (NSCLC) patients benefit from standard taxane-platin chemotherapy, many relapse, developing drug resistance. We established preclinical taxane-platin-chemoresistance models and identified a 35-gene resistance signature, which was associated with poor recurrence-free survival in neoadjuvant-treated NSCLC patients and included upregulation of the JumonjiC lysine demethylase KDM3B. In fact, multi-drug-resistant cells progressively increased the expression of many JumonjiC demethylases, had altered histone methylation, and, importantly, showed hypersensitivity to JumonjiC inhibitors in vitro and in vivo. Increasing taxane-platin resistance in progressive cell line series was accompanied by progressive sensitization to JIB-04 and GSK-J4. These JumonjiC inhibitors partly reversed deregulated transcriptional programs, prevented the emergence of drug-tolerant colonies from chemo-naive cells, and synergized with standard chemotherapy in vitro and in vivo. Our findings reveal JumonjiC inhibitors as promising therapies for targeting taxane-platin-chemoresistant NSCLCs.

Induction Cisplatin Docetaxel Followed by Surgery and Erlotinib in Non-Small Cell Lung Cancer

BACKGROUND

Data from meta-analyses support the use of induction or adjuvant platinum-based chemotherapy for locally advanced non-small cell lung cancers (NSCLCs). This phase 2 study assessed the role of induction cisplatin and docetaxel followed by surgery in patients with resectable stage I to III NSCLCs, followed by 12 months of adjuvant erlotinib.

METHODS

Patients with resectable stage I to III NSCLCs received cisplatin 80 mg/m2, docetaxel 75 mg/m2 every 21 days for 3 cycles, followed by surgery, followed by adjuvant erlotinib for 12 months. The primary endpoint included safety. Long-term efficacy outcomes and exploratory analysis of intermediary endpoints are also reported (NCT00254384).

RESULTS

Forty-seven eligible patients received a median of 3 cycles of induction treatment, 37 underwent surgical resection, and only 21 received adjuvant erlotinib. Two patients died in the perioperative period (1 sepsis during chemotherapy, 1 acute respiratory distress syndrome postoperatively). Most common grade 3 to 5 toxicities during chemotherapy included hypokalemia (8%), infection (7%), and granulocytopenia (25%). During adjuvant erlotinib, 14% of patients experienced grade 2 rash. Median overall survival was 3.4 years. Major pathologic responses in the primary tumor were observed in 19% (7 of 37) of patients and correlated with improved long-term overall survival. Complete pathologic response in mediastinal/hilar nodes also correlated with superior survival.

CONCLUSIONS

Induction cisplatin and docetaxel was well tolerated. Adjuvant erlotinib did not improve outcomes compared with historical controls. Major pathologic response predicted for improved long-term survival and is a suitable intermediary endpoint for future phase 2 studies.

Strong spin-photon coupling in silicon

Long coherence times of single spins in silicon quantum dots make these systems highly attractive for quantum computation, but how to scale up spin qubit systems remains an open question. As a first step to address this issue, we demonstrate the strong coupling of a single electron spin and a single microwave photon. The electron spin is trapped in a silicon double quantum dot, and the microwave photon is stored in an on-chip high-impedance superconducting resonator. The electric field component of the cavity photon couples directly to the charge dipole of the electron in the double dot, and indirectly to the electron spin, through a strong local magnetic field gradient from a nearby micromagnet. Our results provide a route to realizing large networks of quantum dot-based spin qubit registers.