Mammary tumor-derived transplants as breast cancer models to evaluate tumor-immune interactions and therapeutic responses

Exploring the differentiation potential of EomesPOS mouse trophoblast cells in mid-gestation

Mouse trophoblast stem (mTS) cells can be derived from the blastocyst or extraembryonic ectoderm as late as embryonic day (E) 6.5 and when cultured in vitro, can differentiate to all trophoblast subtypes of the mature placenta. Expression of the T-box transcription factor, Eomes, is required for the maintenance of, and used to identify mTS cells. During development, Eomes is restricted to the ExE and, by E7.5, to the chorion, after which its expression declines. The placental junctional zone and labyrinth layers are thought to develop exclusively from the ectoplacental cone and chorion, respectively. While it is well established that mTS cells express Eomes in vitro, it is unknown if Eomes-positive (EomesPOS) trophoblast that reside in the chorion after E6.5 are restricted in their developmental potential to the labyrinth layer in vivo. This study utilized a lineage tracing technique to evaluate the in vivo differentiation of EomesPOS trophoblast. Using an Ai6 reporter mouse crossed with a tamoxifen-inducible Eomes-Cre-ERT2 mouse, Cre was activated from E7.5 to E9.5, permanently marking all EomesPOS trophoblast and daughter cells with the ZsGreen fluorescent protein. This approach was complemented with immunofluorescence staining to assess how the EomesPOS trophoblast had contributed to the differentiated trophoblast population within the placenta by E17.5. Importantly, the results show that daughter cells of EomesPOS trophoblast in which Cre was activated, contributed to both placental layers; specifically, spongiotrophoblast and glycogen trophoblast within the junctional zone and syncytiotrophoblast and sinusoidal trophoblast giant cells within the labyrinth. This confirms that EomesPOS trophoblast maintain the capacity to contribute to both placental layers in vivo and do so after E7.5. This study expands our understanding of trophoblast differentiation in vivo and may prove useful in assessing how EomesPOS trophoblast contribute placental development later in gestation and in the context of placental pathology, where Eomes expression has been reported.

Identification of a conserved subset of cold tumors responsive to immune checkpoint blockade

BACKGROUND

The efficacy of immune checkpoint blockade (ICB) depends on restoring immune recognition of cancer cells that have evaded immune surveillance. Transforming growth factor-beta (TGFβ) is associated with immune-poor, so-called cold tumors whereas loss of its signaling promotes DNA misrepair that could stimulate immune response.

METHODS

We analyzed transcriptomic data from IMvigor210, The Cancer Genome Atlas, and Tumor Immune Syngeneic MOuse data sets to evaluate the predictive value of high βAlt, a score representing low expression of a signature consisting of TGFβ targets and high expression of genes involved in error-prone DNA repair. The immune context of βAlt was assessed by evaluating tumor-educated immune signatures. An ICB-resistant, high βAlt preclinical tumor model was treated with a TGFβ inhibitor, radiation, and/or ICB and assessed for immune composition and tumor control.

RESULTS

We found that a high βAlt score predicts ICB response yet is paradoxically associated with an immune-poor tumor microenvironmentcancer in both human and mouse tumors. We postulated that high βAlt cancers consist of cancer cells in which loss of TGFβ signaling generates a TGFβ rich, immunosuppressive tumor microenvironment. Accordingly, preclinical modeling showed that TGFβ inhibition followed by radiotherapy could convert an immune-poor, high βAlt tumor to an immune-rich, ICB-responsive tumor. Mechanistically, TGFβ inhibition increased activated natural killer (NK) cells, which were required to recruit lymphocytes to respond to ICB in irradiated tumors. NK cell activation signatures were also increased in high βAlt, cold mouse and human tumors that responded to ICB.

CONCLUSIONS

These studies indicate that loss of TGFβ signaling competency and gain of error-prone DNA repair identifies a subset of cold tumors that are responsive to ICB. Our mechanistic studies show that inhibiting TGFβ activity can convert a high βAlt, cold tumor into ICB-responsive tumors via NK cells. A biomarker consisting of combined TGFβ, DNA repair, and immune context signatures is a means to prospectively identify patients whose cancers may be converted from cold to hot with appropriate therapy.

A conserved subset of cold tumors responsive to immune checkpoint blockade

Background

The efficacy of immune checkpoint blockade (ICB) depends on restoring immune recognition of cancer cells that have evaded immune surveillance. At the time of diagnosis, patients with lymphocyte-infiltrated cancers are the most responsive to ICB, yet a considerable fraction of patients have immune-poor tumors.

Methods

We analyzed transcriptomic data from IMvigor210, TCGA, and TISMO datasets to evaluate the predictive value of βAlt, a score representing the negative correlation of signatures consisting of transforming growth factor beta (TGFβ) targets and genes involved in error-prone DNA repair. The immune context of βAlt was assessed by evaluating tumor-educated immune signatures. An ICB-resistant, high βAlt preclinical tumor model was treated with a TGFβ inhibitor, radiation, and/or ICB and assessed for immune composition and tumor control.

Results

Here, we show that high βAlt is associated with an immune-poor context yet is predictive of ICB response in both humans and mice. A high βAlt cancer in which TGFβ signaling is compromised generates a TGFβ rich, immunosuppressive tumor microenvironment. Accordingly, preclinical modeling showed that TGFβ inhibition followed by radiotherapy could convert an immune-poor, ICB-resistant tumor to an immune-rich, ICB-responsive tumor. Mechanistically, TGFβ blockade in irradiated tumors activated natural killer cells that were required to recruit lymphocytes to respond to ICB. In support of this, natural killer cell activation signatures were also increased in immune-poor mouse and human tumors that responded to ICB.

Conclusions

These studies suggest that loss of TGFβ competency identifies a subset of cold tumors that are candidates for ICB. Our mechanistic studies show that inhibiting TGFβ activity converts high βAlt, cold tumors into ICB-responsive tumors via NK cells. Thus, a biomarker consisting of combined TGFβ, DNA repair, and immune context signatures provides a means to prospectively identify patients whose cancers may be converted from 'cold' to 'hot,' which could be exploited for therapeutic treatment.

Optimizing immunofluorescence with high-dynamic-range imaging to enhance PD-L1 expression evaluation for 3D pathology assessment from NSCLC tumor tissue

Assessing programmed death ligand 1 (PD-L1) expression through immunohistochemistry (IHC) is the golden standard in predicting immunotherapy response of non-small cell lung cancer (NSCLC). However, observation of heterogeneous PD-L1 distribution in tumor space is a challenge using IHC only. Meanwhile, immunofluorescence (IF) could support both planar and three-dimensional (3D) histological analyses by combining tissue optical clearing with confocal microscopy. We optimized clinical tissue preparation for the IF assay focusing on staining, imaging, and post-processing to achieve quality identical to traditional IHC assay. To overcome limited dynamic range of the fluorescence microscope's detection system, we incorporated a high dynamic range (HDR) algorithm to restore the post imaging IF expression pattern and further 3D IF images. Following HDR processing, a noticeable improvement in the accuracy of diagnosis (85.7%) was achieved using IF images by pathologists. Moreover, 3D IF images revealed a 25% change in tumor proportion score for PD-L1 expression at various depths within tumors. We have established an optimal and reproducible process for PD-L1 IF images in NSCLC, yielding high quality data comparable to traditional IHC assays. The ability to discern accurate spatial PD-L1 distribution through 3D pathology analysis could provide more precise evaluation and prediction for immunotherapy targeting advanced NSCLC.

Transcriptomic characterization revealed that METTL7A inhibits melanoma progression via the p53 signaling pathway and immunomodulatory pathway

METTL7A is a protein-coding gene expected to be associated with methylation, and its expression disorder is associated with a range of diseases. However, few research have been carried out to explore the relationship between METTL7A and tumor malignant phenotype as well as the involvement potential mechanism. We conducted our research via a combination of silico analysis and molecular biology techniques to investigate the biological function of METTL7A in the progression of cancer. Gene expression and clinical information were extracted from the TCGA database to explore expression variation and prognostic value of METTL7A. In vitro, CCK8, transwell, wound healing and colony formation assays were conducted to explore the biological functions of METT7A in cancer cell. GSEA was performed to explore the signaling pathway involved in METTL7A and validated via western blotting. In conclusion, METTL7A was downregulated in most cancer tissues and its low expression was associated with shorter overall survival. In melanoma, METTL7A downregulation was associated with poorer clinical staging, lower levels of TIL infiltration, higher IC50 levels of chemotherapeutic agents, and poorer immunotherapy outcomes. QPCR results confirm that METTL7A is down-regulated in melanoma cells. Cell function assays showed that METTL7A knockdown promoted proliferation, invasion, migration and clone formation of melanoma cells. Mechanistic studies showed that METTL7A inhibits tumorigenicity through the p53 signaling pathway. Meanwhile, METTL7A is also a potential immune regulatory factor.