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Cancer development and biology is influenced by the host immune system. Emerging data indicate that the context of immune cell infiltrates may contribute to cancer prognosis. However, the types of infiltrating immune cells that are critical for cancer development remain controversial. In attempts to gain insights into the immune networks that regulate and/or predict tumor progression, gene expression analysis was conducted on microarray datasets of resected tumor samples from 128 early-stage non–small cell lung cancer (NSCLC) adenocarcinoma patients. By limiting analysis to immune-related genes, we identified a 9-gene signature using MAximizing R Square Algorithm that selected for the greatest separation between favorable and adverse prognostic patient subgroups. The prognostic value of this 9-gene signature was validated in 10 additional independently published microarray datasets of lung adenocarcinoma [n = 1,097; overall survival hazard ratio (HR), 2.05; 95% confidence interval, 1.64–2.56; P < 0.0001] and was found to be an independent prognostic indicator relative to tumor stage (overall survival HR, 2.09, 95% confidence interval, 1.65–2.66; P < 0.0001). Network analysis revealed that genes associated with Fcϵ complex (FCER1, MS4A2) formed the largest and most significant pathway of the signature. Using immunohistochemistry, we validated that MS4A2, the β subunit of the IgE receptor expressed on mast cells, is a favorable prognostic indicator and show that MS4A2 gene expression is an independent prognostic marker for early-stage lung cancer patient survival. Cancer Immunol Res; 5(9); 821–9. ©2017 AACR.

Carcinoma-associated fibroblasts (CAF) represent a significant component of pancreatic cancer stroma and are biologically implicated in tumor progression. However, evidence of both cancer-promoting and -restraining properties amongst CAFs suggests the possibility of multiple phenotypic subtypes. Here, it is demonstrated that senescent CAFs promote pancreatic cancer invasion and metastasis compared with nonsenescent control CAFs using in vitro Transwell invasion models and in vivo xenograft mouse models. Screening by gene expression microarray and cytokine ELISA assays revealed IL8 to be upregulated in senescent CAFs. Experimental modulation through IL8 overexpression or receptor inhibition implicates the IL8 pathway as a mediator of the proinvasive effects of senescent CAFs. In a cohort of human pancreatic cancer cases, more abundant stromal senescence as indicated by p16 immunohistochemistry correlated with decreased survival in patients with early-stage disease. These data support senescent fibroblasts as a pathologically and clinically relevant feature of pancreatic cancer. The inhibition of senescent stroma–cancer signaling pathways has the potential to restrain pancreatic cancer progression.Implications: Findings show that senescent cancer-associated fibroblasts secret excess IL8 to promote pancreatic cancer invasion and metastasis; thus, senescent CAFs represent a phenotypic subtype, challenging conventional assumptions that CAFs are a homogeneous population. Mol Cancer Res; 15(1); 3–14. ©2016 AACR.

Supplementary univariate analysis of Mast cell specific genes

Table S1. Antibodies used in immunofluorescence and immunohistochemistry Table S2. qPCR primer sequences

9-gene signature validation in individual datasets for overall survival and disease free survival of lung adenocarcinoma. Nine independent datasets where overall survival data were available were used to validate whether the 9-gene signature is able to classify patients into high or low risk for 5-year overall survival. Hazard ratio with 95%CI displayed with p value indicating significance.

Supplemental Microarray Data

Supplemental Materials and Methods

Figure S1. MiaPaca2-YFP flow sort parameters. Figure S2. Immunofluorescence of primary CAF cell lines. Figure S3. Immunohistochemistry of Thy-1 and PDGFR-β on frozen pancreatic cancer tissues. Figure S4. Flow cytometry of CAF5 cells and cell cycle analysis. Figure S5. β-galactosidase staining of five CAF lines. Figure S6. Liver (A) and lung (E) metastasis from orthotopically implanted PDAC cells. Figure S7. Effect of IL8 on pancreatic cancer cell growth rates. Figure S8. Cell count and toxicity assays for SB225002. Figure S9. Effect of reparixin on transwell cancer migration. Figure S10. p16 and Ki67 immunohistochemistry in human PDAC. Figure S11. IHC of human PDAC showing low (A) vs. high (B) IL8 staining.

Supplementary Figure and Table Legends

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Purpose: Genomic profiling of lung squamous cell carcinomas (SCC) has identified NRF2 pathway alterations, which activate oxidative response pathways, in one third of tumors. Preclinical data suggest these tumors may be resistant to platinum-based chemotherapy. We evaluated the clinical relevance of these findings and assessed whether NRF2 activation predicts benefit from adjuvant chemotherapy in SCC.Experimental Design: Logistic regression (LR) and significance analysis of microarrays (SAM) were applied to all 104 TCGA (The Cancer Genome Atlas) SCC cases that had microarray gene expression and mutation data to identify genes associated with somatic NRF2 pathway alterations. The resulting signature (NRF2ACT) was tested in 3 independent SCC datasets to evaluate its prognostic and predictive effects. IHC and sequencing for NRF2 and KEAP1 were evaluated in one cohort (n = 43) to assess the relationship between gene expression, mutational status, and protein expression.Results: Twenty-eight genes were identified by overlap between LR (291 genes) and SAM (30 genes), and these consistently separated SCC into 2 groups in all datasets, corresponding to putatively NRF pathway–activated and wild-type (WT) tumors. NRF2ACT was not prognostic. However, improved survival with adjuvant chemotherapy in the JBR.10-randomized trial appears limited to patients with the WT signature (HR 0.32, P = 0.16; NRF2ACT HR 2.28, P = 0.48; interaction P = 0.15). NRF2ACT was highly correlated with mutations in NRF2 and KEAP1, and with high NRF2 protein expression.Conclusions: A gene expression signature of NRF2 pathway activation is associated with benefit from adjuvant cisplatin/vinorelbine in SCC. Patients with NRF2 pathway–activating somatic alterations may have reduced benefit from this therapy. Clin Cancer Res; 21(11); 2499–505. ©2015 AACR.

Purpose: Non–small cell lung cancer (NSCLC) is a highly metastatic cancer with limited treatment options, thus requiring development of novel targeted therapies. Our group previously identified L1 cell adhesion molecule (L1CAM) expression as a member of a prognostic multigene expression signature for NSCLC patients. However, there is little information on the biologic function of L1CAM in lung cancer cells. This study investigates the functional and prognostic role of L1CAM in NSCLC.Experimental Design: Cox proportional hazards regression analysis was done on four independent published mRNA expression datasets of primary NSCLCs. L1CAM expression was suppressed by short-hairpin RNA (shRNA)–mediated silencing in human NSCLC cell lines. Effects were assessed by examining in vitro migration and invasion, in vivo tumorigenicity in mice, and metastatic potential using an orthotopic xenograft rat model of lung cancer.Results: L1CAM is an independent prognostic marker in resected NSCLC patients, with overexpression strongly associated with worse prognosis. L1CAM downregulation significantly decreased cell motility and invasiveness in lung cancer cells and reduced tumor formation and growth in mice. Cells with L1CAM downregulation were deficient in constitutive extracellular signal–regulated kinase (Erk) activation. Orthotopic studies showed that L1CAM suppression in highly metastatic lung cancer cells significantly decreases spread to distant organs, including bone and kidney.Conclusion:L1CAM is a novel prometastatic gene in NSCLC, and its downregulation may effectively suppress NSCLC tumor growth and metastasis. Targeted inhibition of L1CAM may be a novel therapy for NSCLC. Clin Cancer Res; 18(7); 1914–24. ©2012 AACR.

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Supplemental Tables S1-2 and Figures S1-2. Table S1 - primers used for sequencing of NRF2 and KEAP1; Table S2 - Lists of differentially expressed genes comprising NRF2ACT signature; Figure S1- Distribution of NRF2 and KEAP1 IHC H-scores; Figure S2 - Clustering of adenocarcinoma subset of UHN181 dataset using NRF2ACT.

Supplementary Figures 1-6 from Interaction between MYC and MCL1 in the Genesis and Outcome of Non–Small-Cell Lung Cancer

Supplementary Table 2 from Interaction between MYC and MCL1 in the Genesis and Outcome of Non–Small-Cell Lung Cancer

MYC exerts both positive and negative functions in cancer cells, such that its procancerous effects are unmasked only after its anticancer effects are blocked. Here we used multiple mouse models of lung adenocarcinoma to identify genetic events that can cooperate with MYC activation to promote the genesis of non–small-cell lung cancer (NSCLC), the most common form of lung cancer in humans. MYC overexpression targeted to pulmonary alveolar cells was sufficient to induce lung adenomas and carcinomas. Tumorigenesis was assisted by either spontaneous mutations in Kras or experimental introduction of activated RAS, but investigations revealed that additional events were required to circumvent apoptosis, one of the most significant negative functions exerted by MYC. We determined that overexpression of the antiapoptotic protein MCL1 was sufficient to circumvent apoptosis in this setting. Previous clinical studies have indicated that prognosis of human NSCLC is not associated with MCL1, despite its overexpression in many NSCLCs. In reexamining the prognostic value in this setting, we found that MCL1 overexpression does correlate with poor patient survival, but only when accompanied by MYC overexpression. Our findings therefore produce a convergence of mouse and human results that explain how MCL1 can block an important negative consequence of MYC overexpression in both experimental models and clinical cases of NSCLC. Cancer Res; 71(6); 2212–21. ©2011 AACR.

Supplementary Figure Legends 1-6 from Interaction between MYC and MCL1 in the Genesis and Outcome of Non–Small-Cell Lung Cancer

Supplementary Table 1 from Interaction between MYC and MCL1 in the Genesis and Outcome of Non–Small-Cell Lung Cancer

Supplementary Methods from Interaction between MYC and MCL1 in the Genesis and Outcome of Non–Small-Cell Lung Cancer

Simple Summary Understanding how the immune system navigate the tumor microenvironment is vital to developing effective drugs to treat cancer. Using gene and functional studies, we found that the collagen receptor LAIR2 is an important component of cancer regulation. When expressed in regulatory T cells, a LAIR2 containing gene signature is adversely prognostic in lung cancer. This study highlights the importance of microenvironment regulation of immune cells and provides a unique target for future therapeutic development. Abstract Cancer development requires a permissive microenvironment that is shaped by interactions between tumor cells, stroma, and the surrounding matrix. As collagen receptors, the leukocyte-associated immunoglobulin-like receptor (LAIR) family allows the immune system to interact with the extracellular matrix. However, little is known about their role in regulating tumor immunity and cancer progression. Methods: Genetic analysis of resected human lung adenocarcinoma was correlated to clinical-pathological characteristics, gene ontologies, and single cell RNA sequencing (scRNASeq). LAIR2 production was determined in subsets of immune cells isolated from blood leukocytes and lung adenocarcinoma tumor. Functional assays were used to determine the role of LAIR2 in tumorigenesis. Results: LAIR2 expression was adversely prognostic in lung adenocarcinoma. LAIR2 was preferentially produced by activated CD4+ T cells and enhanced in vitro tumor invasion into collagen. scRNASeq analysis of tumor infiltrating T cells revealed that LAIR2 expression co-localized with FOXP3 expressing cells and shared a transcriptional signature with tumor-associated regulatory T (Treg) cells. A CD4+ LAIR2+ Treg gene signature was prognostically significant in the TCGA dataset (n = 439; hazard ratio (HR) = 1.37; 95% confidence interval (CI), 1.05–1.77, p = 0.018) and validated in NCI Director’s Challenge lung adenocarcinoma dataset (n = 488; HR = 1.54; 95% CI, 1.14–2.09, p = 0.0045). Conclusions: Our data support a role for LAIR2 in lung adenocarcinoma tumorigenesis and identify a CD4+ LAIR2+ Treg gene signature in lung adenocarcinoma prognosis. LAIR2 provides a novel target for development of immunotherapies.

Background Adjuvant chemotherapy (ACT) provides modest benefit in resected non-small cell lung cancer (NSCLC) patients. Genome-wide studies have identified gene copy number aberrations (CNA), but their prognostic implication is unknown. Methods DNA from 1,013 FFPE tumor samples from three pivotal multicenter randomized trials (ACT vs. control) in the LACE-Bio consortium (median follow-up: 5.2 years) was successfully extracted, profiled using a molecular inversion probe SNP assay, normalized relative to a pool of normal tissues and segmented. Minimally recurrent regions were identified. P values were adjusted to control the false discovery rate (Q values). Results A total of 976 samples successfully profiled, 414 (42%) adenocarcinoma (ADC), 430 (44%) squamous cell carcinoma (SCC) and 132 (14%) other NSCLC; 710 (73%) males. We identified 431 recurrent regions, with on average 51 gains and 43 losses; 253 regions (59%) were ≤3 Mb. Most frequent gains (up to 48%) were on chr1, 3q, 5p, 6p, 8q, 22q; most frequent losses (up to 40%) on chr3p, 8p, 9p. CNA frequency of 195 regions was significantly different (Q≤0.05) between ADC and SCC. Fourteen regions (7p11-12, 9p21, 18q12, and 19p11-13) were associated with disease-free survival (DFS) (univariate P≤0.005, Q

Cancer development and biology is influenced by the host immune system. Emerging data indicate that the context of immune cell infiltrates may contribute to cancer prognosis. However, the types of infiltrating immune cells that are critical for cancer development remain controversial. In attempts to gain insights into the immune networks that regulate and/or predict tumor progression, gene expression analysis was conducted on microarray datasets of resected tumor samples from 128 early-stage non–small cell lung cancer (NSCLC) adenocarcinoma patients. By limiting analysis to immune-related genes, we identified a 9-gene signature using MAximizing R Square Algorithm that selected for the greatest separation between favorable and adverse prognostic patient subgroups. The prognostic value of this 9-gene signature was validated in 10 additional independently published microarray datasets of lung adenocarcinoma [n = 1,097; overall survival hazard ratio (HR), 2.05; 95% confidence interval, 1.64–2.56; P < 0.0001] and was found to be an independent prognostic indicator relative to tumor stage (overall survival HR, 2.09, 95% confidence interval, 1.65–2.66; P < 0.0001). Network analysis revealed that genes associated with Fcϵ complex (FCER1, MS4A2) formed the largest and most significant pathway of the signature. Using immunohistochemistry, we validated that MS4A2, the β subunit of the IgE receptor expressed on mast cells, is a favorable prognostic indicator and show that MS4A2 gene expression is an independent prognostic marker for early-stage lung cancer patient survival. Cancer Immunol Res; 5(9); 821–9. ©2017 AACR.

The burden of somatic mutations and neoantigens has been associated with improved survival in cancer treated with immunotherapies, especially non-small cell lung cancer (NSCLC). However, there is uncertainty about their effect on outcome in early-stage untreated cases. We posited that the burden of mutations in a specific set of genes may also contribute to the prognosis of early NSCLC patients. From a small cohort of 36 NSCLC cases, we were able to identify somatic mutations and copy number alterations in 865 genes that contributed to patient overall survival. Simply, the number of altered genes (NAG) among these 865 genes was associated with longer disease-free survival (hazard ratio (HR) = 0.153, p = 1.48 &times, 10&minus, 4). The gene expression signature distinguishing patients with high/low NAG was also prognostic in three independent datasets. Patients with a high NAG could be further stratified based on the presence of immunogenic mutations, revealing a further subgroup of stage I NSCLC with even better prognosis (85% with &gt, 5 years survival), and associated with cytotoxic T-cell expression. Importantly, 95% of the highly-altered genes lacked direct relation to cancer, but were implicated in pathways regulating cell proliferation, motility and immune response.

Carcinoma-associated fibroblasts (CAFs) are abundant stromal cells in tumor microenvironment that are critically involved in cancer progression. Contrasting reports have shown that CAFs can have either pro- or antitumorigenic roles, indicating that CAFs are functionally heterogeneous. Therefore, to precisely target the cancer-promoting CAF subsets, it is necessary to identify specific markers to define these subpopulations and understand their functions. We characterized two CAFs subsets from 28 non–small cell lung cancer (NSCLC) patient tumors that were scored and classified based on desmoplasia [mainly characterized by proliferating CAFs; high desmoplastic CAFs (HD-CAF; n = 15) and low desmoplastic CAFs (LD-CAF; n = 13)], which is an independent prognostic factor. Here, for the first time, we demonstrate that HD-CAFs and LD-CAFs show different tumor-promoting abilities. HD-CAFs showed higher rate of collagen matrix remodeling, invasion, and tumor growth compared to LD-CAFs. Transcriptomic analysis identified 13 genes that were differentially significant (fold ≥1.5; adjusted P value < .1) between HD-CAFs and LD-CAFs. The top upregulated differentially expressed gene, ST8SIA2 (11.3 fold; adjusted P value = .02), enhanced NSCLC tumor cell invasion in 3D culture compared to control when it was overexpressed in CAFs, suggesting an important role of ST8SIA2 in cancer cell invasion. We confirmed the protumorigenic role of ST8SIA2, showing that ST8SIA2 was significantly associated with the risk of relapse in three independent NSCLC clinical datasets. In summary, our studies show that functional heterogeneity in CAF plays key role in promoting cancer cell invasion in NSCLC.

Availability of lung cancer models that closely mimic human tumors remains a significant gap in cancer research, as tumor cell lines and mouse models may not recapitulate the spectrum of lung cancer heterogeneity seen in patients. We aimed to establish a patient-derived tumor xenograft (PDX) resource from surgically resected non-small cell lung cancer (NSCLC). Fresh tumor tissue from surgical resection was implanted and grown in the subcutaneous pocket of non-obese severe combined immune deficient (NOD SCID) gamma mice. Subsequent passages were in NOD SCID mice. A subset of matched patient and PDX tumors and non-neoplastic lung tissues were profiled by whole exome sequencing, single nucleotide polymorphism (SNP) and methylation arrays, and phosphotyrosine (pY)-proteome by mass spectrometry. The data were compared to published NSCLC datasets of NSCLC primary and cell lines. 127 stable PDXs were established from 441 lung carcinomas representing all major histological subtypes: 52 adenocarcinomas, 62 squamous cell carcinomas, one adeno-squamous carcinoma, five sarcomatoid carcinomas, five large cell neuroendocrine carcinomas, and two small cell lung cancers. Somatic mutations, gene copy number and expression profiles, and pY-proteome landscape of 36 PDXs showed greater similarity with patient tumors than with established cell lines. Novel somatic mutations on cancer associated genes were identified but only in PDXs, likely due to selective clonal growth in the PDXs that allows detection of these low allelic frequency mutations. The results provide the strongest evidence yet that PDXs established from lung cancers closely mimic the characteristics of patient primary tumors.

Carcinoma-associated fibroblasts (CAF) represent a significant component of pancreatic cancer stroma and are biologically implicated in tumor progression. However, evidence of both cancer-promoting and -restraining properties amongst CAFs suggests the possibility of multiple phenotypic subtypes. Here, it is demonstrated that senescent CAFs promote pancreatic cancer invasion and metastasis compared with nonsenescent control CAFs using in vitro Transwell invasion models and in vivo xenograft mouse models. Screening by gene expression microarray and cytokine ELISA assays revealed IL8 to be upregulated in senescent CAFs. Experimental modulation through IL8 overexpression or receptor inhibition implicates the IL8 pathway as a mediator of the proinvasive effects of senescent CAFs. In a cohort of human pancreatic cancer cases, more abundant stromal senescence as indicated by p16 immunohistochemistry correlated with decreased survival in patients with early-stage disease. These data support senescent fibroblasts as a pathologically and clinically relevant feature of pancreatic cancer. The inhibition of senescent stroma–cancer signaling pathways has the potential to restrain pancreatic cancer progression. Implications: Findings show that senescent cancer-associated fibroblasts secret excess IL8 to promote pancreatic cancer invasion and metastasis; thus, senescent CAFs represent a phenotypic subtype, challenging conventional assumptions that CAFs are a homogeneous population. Mol Cancer Res; 15(1); 3–14. ©2016 AACR .

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal human cancers, with 5-year patient survival rates of

BackgroundGenomic profiling of patient tumors has linked somatic driver mutations to survival outcomes of non-small cell lung cancer (NSCLC) patients, especially for those receiving targeted therapies. However, it remains unclear whether specific non-driver mutations have any prognostic utility.MethodsWhole exomes and transcriptomes were measured from NSCLC xenograft models of patients with diverse clinical outcomes. Penalised regression analysis was performed to identify a set of 865 genes associated with patient survival. The number of somatic copy number aberrations, point mutations and associated expression changes within the 865 genes were used to stratify independent NSCLC patient populations, filtered for chemotherapy naive and early-stage. In-depth genomic analysis and functional testing was conducted on the genomic alterations to understand their effect on improving survival.ResultsHigh burden of somatic alterations are associated with longer disease-free survival (HR=0.153, P=1.48×10-4) in NSCLC patients. When somatic alterations burden was integrated with gene expression, we were able to predict prognosis in three independent patient datasets. Patients with high alteration burden could be further stratified based on the presence of immunogenic mutations, revealing another subgroup of patients with even better prognosis (85% with >5 years survival), and associated with cytotoxic T-cell expression. In addition, 95% of these 865 genes lack documented activity relevant to cancer, but are in pathways regulating cell proliferation, motility and immune response were implicated.ConclusionOur results demonstrate that non-driver somatic alterations may influence the outcome of cancer patients by increasing beneficial immune response and inhibiting processes associated to tumorigenesis.

In this paper, the motion and acceleration process, as well as the mechanism of a high speed and long run landslide are investigated by adopting high speed ring shear test and taking the landslide occurred at Yigong River in Bomi, Tibet on April 9, 2000 as the background. According to the motion characteristics of high-speed and long distance motion landside, the mechanism is studied under different conditions such as shear speed, consolidated drained and consolidated undrained status. Results show that high speed shearing process hinders and delays the dissipation of pore pressure, and drives pore water migrating to shear zone slowly. Both of water content and fine particle content at shear zone are obviously higher than those in other layers; and soil liquefaction occurs at shear zone in the saturated consolidated undrained ring shear tests. The effective internal friction angle of the consolidated undrained soil is much lower than that of the consolidated drained soil under ring shearing. The results also indicate that the shearing speed affecting the strength of soil to some extent. The higher the ring shearing speed is, the lower the strength of soil is. This investigation provides a preliminary interpretation of the mechanism of the motion and acceleration process of the Yigong landslide, occurred in Tibet in 2000.

Integrin α11β1 is a stromal cell-specific receptor for fibrillar collagens and is overexpressed in carcinoma-associated fibroblasts (CAFs). We have investigated its direct role in cancer progression by generating severe combined immune deficient (SCID) mice deficient in integrin α11 (α11) expression. The growth of A549 lung adenocarcinoma cells and two patient-derived non-small cell lung carcinoma (NSCLC) xenografts in these α11 knockout (α11(-/-)) mice was significantly impeded, as compared with wild-type (α11(+/+)) SCID mice. Orthotopic implantation of a spontaneously metastatic NCI-H460SM cell line into the lungs of α11(-/-) and α11(+/+) mice showed significant reduction in the metastatic potential of these cells in the α11(-/-) mice. We identified that collagen cross-linking is associated with stromal α11 expression, and the loss of tumor stromal α11 expression was correlated with decreased collagen reorganization and stiffness. This study shows the role of integrin α11β1, a receptor for fibrillar collagen in differentiation of fibroblasts into CAFs. Furthermore, our data support an important role for α11 signaling pathway in CAFs, promoting tumor growth and metastatic potential of NSCLC cells and being closely associated with collagen cross-linking and the organization and stiffness of fibrillar collagen matrices.