Molecular subtypes of lung adenocarcinoma present distinct immune tumor microenvironments.

Overcoming resistance to immune checkpoint inhibitors is an important issue in patients with non-small-cell lung cancer (NSCLC). Transcriptome analysis shows that adenocarcinoma can be divided into three molecular subtypes: terminal respiratory unit (TRU), proximal proliferative (PP), and proximal inflammatory (PI), and squamous cell carcinoma (LUSQ) into four. However, the immunological characteristics of these subtypes are not fully understood. In this study, we investigated the immune landscape of NSCLC tissues in molecular subtypes using a multi-omics dataset, including tumor-infiltrating leukocytes (TILs) analyzed using flow cytometry, RNA sequences, whole exome sequences, metabolomic analysis, and clinicopathologic findings. In the PI subtype, the number of TILs increased and the immune response in the tumor microenvironment (TME) was activated, as indicated by high levels of tertiary lymphoid structures, and high cytotoxic marker levels. Patient prognosis was worse in the PP subtype than in other adenocarcinoma subtypes. Glucose transporter 1 (GLUT1) expression levels were upregulated and lactate accumulated in the TME of the PP subtype. This could lead to the formation of an immunosuppressive TME, including the inactivation of antigen-presenting cells. The TRU subtype had low biological malignancy and "cold" tumor-immune phenotypes. Squamous cell carcinoma (LUSQ) did not show distinct immunological characteristics in its respective subtypes. Elucidation of the immune characteristics of molecular subtypes could lead to the development of personalized immune therapy for lung cancer. Immune checkpoint inhibitors could be an effective treatment for the PI subtype. Glycolysis is a potential target for converting an immunosuppressive TME into an antitumorigenic TME in the PP subtype.

Tumor-infiltrating Leukocyte Profiling Defines Three Immune Subtypes of NSCLC with Distinct Signaling Pathways and Genetic Alterations.

Resistance to immune checkpoint blockade remains challenging in patients with non-small cell lung cancer (NSCLC). Tumor-infiltrating leukocyte (TIL) quantity, composition, and activation status profoundly influence responsiveness to cancer immunotherapy. This study examined the immune landscape in the NSCLC tumor microenvironment by analyzing TIL profiles of 281 fresh resected NSCLC tissues. Unsupervised clustering based on numbers and percentages of 30 TIL types classified adenocarcinoma (LUAD) and squamous cell carcinoma (LUSQ) into the cold, myeloid cell-dominant, and CD8+ T cell-dominant subtypes. These were significantly correlated with patient prognosis; the myeloid cell subtype had worse outcomes than the others. Integrated genomic and transcriptomic analyses, including RNA sequencing, whole-exome sequencing, T-cell receptor repertoire, and metabolomics of tumor tissue, revealed that immune reaction-related signaling pathways were inactivated, while the glycolysis and K-ras signaling pathways activated in LUAD and LUSQ myeloid cell subtypes. Cases with ALK and ROS1 fusion genes were enriched in the LUAD myeloid subtype, and the frequency of TERT copy-number variations was higher in LUSQ myeloid subtype than in the others. These classifications of NSCLC based on TIL status may be useful for developing personalized immune therapies for NSCLC. Significance: The precise TIL profiling classified NSCLC into novel three immune subtypes that correlates with patient outcome, identifying subtype-specific molecular pathways and genomic alterations that should play important roles in constructing subtype-specific immune tumor microenvironments. These classifications of NSCLC based on TIL status are useful for developing personalized immune therapies for NSCLC.

Integration of proteomic analyses to monitor the activity status of phosphorylation signaling.

We performed here MS-based phosphoproteomics using both metal oxide affinity chromatography (pSTY proteomics) and anti-phosphotyrosine antibody (pY proteomics). The former method identified mainly phospho-serine and -threonine of nuclear or cytoplasmic proteins, whereas the latter did phosphotyrosine including more plasma membrane proteins and kinases. The overlap between these two methods was limited (24 tyrosine phosphorylation sites out of 325) and, by combining the two, coverage of the signaling molecules was enhanced as exemplified by Erk signaling. We also performed whole cell proteomics using an off-gel fractionator, and found 68.9% of the proteins identified by phosphoproteomics. Thus, the expression levels of phosphoproteins were roughly estimated. In addition to many uncharacterized phosphorylation sites, the dataset includes 136 sites that were experimentally verified elsewhere to be phosphorylated by a total of 83 kinases and kinase groups out of the 256 registered in the Phospho.ELM database. With the integration of various proteomic analyses and information from database, the responsible kinases of the identified phosphorylation sites and possibly their activity status were predicted by phosphorylation status and expression levels of their substrates, and thus our method may be able to monitor the activity status of phosphorylation signaling.

Gene amplification and expression in lung cancer cells with acquired paclitaxel resistance.

A paclitaxel-resistant subline was generated from the non-small lung cancer cell line NCI-H460 by stepwise selection in paclitaxel from 0.032 to 250 nmol/L. The resulting subline, designated NCI-H460/PTX250, showed 792-fold resistance against paclitaxel compared with the parental cell line NCI-H460. The chemosensitivity analysis revealed the cross-resistance phenotype against various anticancer drugs including docetaxel, vinblastine, and doxorubicin, but not against camptotecin, cisplatin, and 5-fluorouracil. The addition of 5 mumol/L verapamil or reversin 121 reversed the resistance against paclitaxel, vinblastine, and doxorubicin. The gene expression profile, examined using oligonucleotide microarrays, demonstrated that the expression of 332 and 342 genes was significantly increased and decreased, respectively, in NCI-H460/PTX250 compared with NCI-H460. The most highly upregulated gene was MDR1/ABCB1 with a 1,092-fold increase. The overexpression was confirmed at the protein level by Western blot and flow cytometry analyses. The copy number profile, examined using microarray-based comparative genomic hybridization, revealed amplification of the q11.21 approximately q21.12 region on chromosome 7. In particular, the entire q21.12 region displayed 11- to 13-fold higher copy number in NCI-H460/PTX250 than in NCI-H460. Most of the genes within the region were highly expressed, and the increased expression of these genes could be explained by the amplification in the gene copy number. However, the increase in MDR1/ABCB1 expression greatly exceeded the genomic copy number increase of the gene, suggesting the existence of one or more additional factors, such as transcriptional enhancement or mRNA stabilization, associated with the elevated MDR1/ABCB1 expression. In conclusion, both chromosomal region-specific copy number amplification and gene-specific activation are probably involved in the overexpression of MDR1/ABCB1, resulting in acquisition of the drug resistance phenotype in NCI-H460/PTX250.

Immunolocalization of liver receptor homologue-1 (LRH-1) in human breast carcinoma: possible regulator of insitu steroidogenesis.

Liver receptor homologue-1 (LRH-1) belongs to a class of nuclear orphan receptor. We examined immunolocalization of LRH-1 in 106 breast carcinomas. LRH-1 immunoreactivity was detected in 43% of the invasive ductal carcinoma. It was negatively correlated with clinical stage, histological grade and HER2 status, and positively associated with sex-steroid receptors, steroidogenic acute regulatory protein, P450 side-chain cleavage, and 3beta-hydroxysteroid dehydrogenase. LRH-1 immunoreactivity was also detected in 28% of the ductal carcinoma in situ. These results suggest that LRH-1 is frequently detected in breast carcinoma tissues, and plays important roles including the regulation of in situ steroidogenesis.

Expression of the steroid and xenobiotic receptor and its possible target gene, organic anion transporting polypeptide-A, in human breast carcinoma.

Steroid and xenobiotic receptor (SXR) or human pregnane X receptor (hPXR) has been shown to play an important role in the regulation of genes related to xenobiotic detoxification, such as cytochrome P450 3A4 and multidrug resistance gene 1. Cytochrome P450 enzymes, conjugation enzymes, and transporters are all considered to be involved in the resistance of breast carcinoma to chemotherapeutic or endocrine agents. However, the expression of SXR/hPXR proteins and that of its target genes and their biological or clinical significance have not been examined in human breast carcinomas. Therefore, we first examined SXR/hPXR expression in 60 breast carcinomas using immunohistochemistry and quantitative reverse transcription-PCR. We then searched for possible SXR/hPXR target genes using microarray analysis of carcinoma cells captured by laser microscissors. SXR/hPXR was detected in carcinoma tissues but not in nonneoplastic and stromal cells of breast tumors. A significant positive correlation was detected between the SXR/hPXR labeling index and both the histologic grade and the lymph node status of the carcinoma cases. Furthermore, in estrogen receptor-positive cases, SXR/hPXR expression was also positively correlated with expression of the cell proliferation marker, Ki-67. Microarray analysis showed that organic anion transporting polypeptide-A (OATP-A) was most closely correlated with SXR/hPXR gene expression, and both OATP-A mRNA and protein were significantly associated with SXR/hPXR in both breast carcinoma tissues and its cell lines. These results suggest that SXR/hPXR and its target gene, such as OATP-A, may play important roles in the biology of human breast cancers.