Conserved immuno-collagenic subtypes predict response to immune checkpoint blockade.

BACKGROUND: Immune checkpoint blockade (ICB) has revolutionized the treatment of various cancer types. Despite significant preclinical advancements in understanding mechanisms, identifying the molecular basis and predictive biomarkers for clinical ICB responses remains challenging. Recent evidence, both preclinical and clinical, underscores the pivotal role of the extracellular matrix (ECM) in modulating immune cell infiltration and behaviors. This study aimed to create an innovative classifier that leverages ECM characteristics to enhance the effectiveness of ICB therapy. METHODS: We analyzed transcriptomic collagen activity and immune signatures in 649 patients with cancer undergoing ICB therapy. This analysis led to the identification of three distinct immuno-collagenic subtypes predictive of ICB responses. We validated these subtypes using the transcriptome data from 9,363 cancer patients from The Cancer Genome Atlas (TCGA) dataset and 1,084 in-house samples. Additionally, novel therapeutic targets were identified based on these established immuno-collagenic subtypes. RESULTS: Our categorization divided tumors into three subtypes: "soft & hot" (low collagen activity and high immune infiltration), "armored & cold" (high collagen activity and low immune infiltration), and "quiescent" (low collagen activity and immune infiltration). Notably, "soft & hot" tumors exhibited the most robust response to ICB therapy across various cancer types. Mechanistically, inhibiting collagen augmented the response to ICB in preclinical models. Furthermore, these subtypes demonstrated associations with immune activity and prognostic predictive potential across multiple cancer types. Additionally, an unbiased approach identified B7 homolog 3 (B7-H3), an available drug target, as strongly expressed in "armored & cold" tumors, relating with poor prognosis. CONCLUSION: This study introduces histopathology-based universal immuno-collagenic subtypes capable of predicting ICB responses across diverse cancer types. These findings offer insights that could contribute to tailoring personalized immunotherapeutic strategies for patients with cancer.

Erratum: SECTM1 is upregulated in immuno-hot tumors and predicts immunotherapeutic efficacy in multiple cancers.

[This corrects the article DOI: 10.1016/j.isci.2023.106027.].

The novel role of etoposide in inhibiting the migration and proliferation of small cell lung cancer and breast cancer via targeting Daam1.

OBJECTIVES: Daam1 (Dishevelled-associated activator of morphogenesis 1) is a Wnt/PCP signaling protein that engages in cytoskeleton reorganization and is abnormally activated in certain tumors. Daam1 is closely related to cancer metastasis, which is expected to become a target for cancer treatment. However, the natural small molecules targeting Daam1 have not been identified. MATERIALS AND METHODS: We screened several natural small molecules that may bind to Daam1 by Sybyl molecular simulation docking technique. As a first-line drug for the treatment of small cell lung cancer, etoposide was chosen for further investigation. Next, we used Micro Scale Thermophoresis (MST) to verify the interaction of etoposide and Daam1. Small cell lung cancer H446 cells and breast cancer MCF-7 cells were treated with etoposide and subjected to Western blotting to measure the Daam1 expression. The effect of etoposide on cell proliferation was determined by CCK-8 assay in vitro and by a tumor-bearing mouse model in vivo. Wound healing assay and Boyden chamber assay were used to evaluate the role of etoposide in the migration and invasion ability of tumor cells. The effect of etoposide on the microfilament assembly was visualized by immunofluorescence staining with phalloidine. Finally, the possible mechanism of down-regulation of Daam1 expression after etoposide-induced small cell lung cancer cells was detected by a half-life experiment and immunofluorescence staining with lysosomal marker LAMP1. RESULTS: Sybyl molecular modeling docking technique was performed to screen a natural chemical library for molecules that bound to the FH2 domain of Daam1 and found etoposide was virtually interacted with Daam1. MST validated etoposide directly bound to the FH2 domain of Daam1. Etoposide significantly down-regulated the expression of Daam1 in small cell lung cancer H446 cells and breast cancer MCF-7 cells. Moreover, 270 µmol/L etoposide largely inhibited the proliferation, migration, and invasion of H446 cells and MCF-7 cells. Immunofluorescence staining experiments revealed that etoposide induced the disassembly of microfilaments in H446 cells and MCF-7 cells, which were rescued by Daam1 overexpression. In nude mice transplanted with H446 cells, 5, 10, 20 mg/kg etoposide (drug/weight) injected via tail vein largely retarded the proliferation of subcutaneous tumors. Etoposide induced Daam1 to shorten its half-life and enter the lysosome degradation pathway, and eventually leading to the downregulation of Daam1 expression. CONCLUSIONS: Etoposide is a novel natural small molecule targeting Daam1. Etoposide inhibits the proliferation, migration and invasion of small cell lung cancer cells and breast cancer cells, and also suppresses tumor proliferation of small cell lung cancer in vivo.

SECTM1 is upregulated in immuno-hot tumors and predicts immunotherapeutic efficacy in multiple cancers.

Immune checkpoint inhibitors (ICIs) have transformed the management of advanced cancers. However, many patients could not benefit from ICIs therapy, and thus several biomarkers for therapeutic prediction have been uncovered. In this research, more than ten public and in-house cohorts were used to explore the predictive value and immunological correlations of secreted and transmembrane 1 (SECTM1) in cancers. SECTM1 expression was enhanced in tumors from patients with well immunotherapeutic responses in multiple cancers. In addition, SECTM1 was immuno-correlated in pan-cancer and enhanced in immuno-hot tumors. In vitro assays revealed that SECTM1 was upregulated by the IFN-γ/STAT1 signaling. Moreover, analysis of in-house immunotherapy cohorts suggested both tumor-expressed and circulating SECTM1 are promising biomarkers to predict therapeutic responses. Overall, this study reveals that SECTM1 is a biomarker of benefit to ICIs in cancer patients. Further studies including large-scale patients are needed to establish its utilization as a biomarker of benefit to ICIs.

Formin protein DIAPH1 positively regulates PD-L1 expression and predicts the therapeutic response to anti-PD-1/PD-L1 immunotherapy.

Formins are evolutionarily conserved genes and profoundly affect cancer progression. This study aims to explore the expressions, prognostic values, and immunological correlations of Formins in cancer. Specific Formins were dysregulated and immuno-biologically correlated in breast cancer (BRCA). Formins showed different expression patterns, namely some were enriched in immune cells while some were enriched in tumor cells. Among all Formins, DIAPH1 was enriched in tumor cells and associated with an inflamed tumor microenvironment (TME). DIAPH1 functioned as an oncogene in BRCA and mediated TGF-ß1-induced epithelial-mesenchymal transformation (EMT) and PD-L1 expression. Moreover, DIAPH1 was overexpressed in most cancers and functioned as a novel pan-cancer immuno-marker, which could predict the response to anti-PD-1/PD-L1 immunotherapy. Overall, DIAPH1 functions as an oncogene and is immunologically correlated, which could be utilized as an alternative biomarker for predicting the immunotherapeutic response.