Spatial transcriptomics reveal the determinants of resistance to immunotherapy in NSCLC patients with mature TLS
This translational research paper highlights the work of Florent Peyraud, MD, conducted during his PhD thesis at Explicyte under the supervision of Prof. Antoine Italiano (Bergonié & Gustave Roussy Comprehensive Cancer Centers) and Alban Bessede, PhD (Explicyte). This project was made possible thanks to a collaboration with the imCORE network (Roche/Genentech), and samples from the BIP trial (NCT02534649). The study aims to uncover why certain patients with non-small cell lung cancer (NSCLC) who exhibit mature tertiary lymphoid structures (mTLS)—a phenotype typically associated with a favorable response to immune checkpoint inhibitors (ICI)—do not respond to anti-PD1/PD-L1 immunotherapy.

Presence of mature TLS & clinical outcome in NSCLC
A comprehensive pathological analysis of 509 NSCLC patients treated with immune checkpoint inhibitors (ICI) was performed, confirming that the presence of mTLS predicts a better outcome in terms of response rate, overall survival, and median progression-free survival, independently of PD-L1 and genomic features.

Spatial transcriptomics in responding & non-responding mTLS-positive NSCLC patients
Specimens from 6 mTLS-positive patients with extreme ICI response (3 responders, 3 non-responders) were analyzed using the GeoMx Whole Transcriptome Atlas. While gene expression profiles did not differ within the TLS and tumor compartments, non-responders exhibited an enrichment in fibroblasts in the stromal compartment, with a pronounced expression of TGFβ signaling and epithelial-mesenchymal transition (EMT) pathways.

Multiplex immunohistofluorescence (mIHF) panel focusing on cancer-associated fibroblasts (CAFs) 77 m-TLS positive patient samples were then analyzed by digital pathology for the detection of tumor cells, cytotoxic CD8+ T cells, and FAP+αSMA+ CAF and MYH11+αSMA+ CAFs. Analysis revealed a higher stromal density of both CAF subsets in non-responders, correlating with poor clinical outcome.

Bulk transcriptomics to analyze interactions between the immune infiltrates & CAF status
Gene expression profiling of 40 mTLS-positive lung tumor samples identified that:

  • FAP+αSMA+ CAF-High tumors were associated with inflammatory response and T-cell exhaustion, which may explain the limited efficacy of ICI.

  • MYH11+αSMA+ CAF-High tumors were associated with an enrichment in regulatory T cell (Treg) gene signatures, which are known to participate in immunosuppression and be detrimental to ICI efficacy


Multiplex immunofluorescence panel focused on T cell exhaustion
Specimens of 64 mTLS positive NSCLC patients were then analyzed by digital pathology:

  • A panel consisting of CD8, PD1, CD39, LAG3, TIGIT, TIM3, and DAPI revealed a high density of intratumoral CD8+PD1+ T cells in the FAP+αSMA+ CAF-High tumors, with a higher expression of exhaustion markers.

  • A panel including CD4, CD8, CD20, FoxP3, ICOS, TIGIT and DAPI highlighted an increased presence of CD4+ T cells in the stroma of MYH11+αSMA+ CAF-High tumors, with an increased infiltration of regulatory CD4+FoxP3+ T cells expressing immunosuppressive markers.


Altogether, these findings suggest that the presence of FAP+αSMA+ CAFs and MYH11+αSMA+ CAFs is associated with poor outcomes in mTLS-positive NSCLC patients undergoing ICI treatment. They could serve as biomarkers to stratify patients, and could constitute targets, in combination with strategies addressing T-cell exhaustion, to enhance ICI efficacy in mTLS-positive NSCLC patients.

Interested in the assessment of  TLS maturity? Learn about our histopathology services for TLS detection & scoring.

Read paper

study manager job 3D tumor models
Reference: SM0225
Contract type: Full time position, permanent contract
Location: Bordeaux, France

 

You are passionate about the interplay between immune and tumor cells? You have experience with 3D tumor-based culture models in the perspective of testing innovative cancer immunotherapies? You are proficient in flow cytometry and multiparametric platforms for in vitro/ex-vivo analyses? Keep reading and apply!


 

The position


We are looking for an experienced in vitro Immuno-Oncology Scientist, ready to take up with us the setup and operation of 3D tumor model cultures, relevant for the testing and development of novel immunotherapeutic strategies.

In your role, you will be the scientific-technical referent in 3D cell culture, on all of R&D projects and Sponsors’ studies. You will interact with the in vitro team members.

You will have versatile & empowering missions. You will report to the Chief Scientific Officer.

What you will find at Explicyte

 

Your skills & traits



  • Post-graduate degree (MSc/PhD) in oncology, immuno-oncology, or related fields

  • Expertise in 3D cell culture models and protocols (i.e. organoids, fragments, spheroids), with a minimum 3 years of experience

  • Expertise in multiparametric analysis methodologies, e.g. flow cytometry, kinetic high content imaging, multiparametric supernatant analyses (LEGENDplex, Olink, etc), immunohistofluoresence

  • Expertise in 2D cell culture protocols (immune/tumor cell co-cultures, immune cell isolation and cultivation, differentiation and polarization protocols)

  • Proficiency in project management: from implementation and performance to data analysis and on time rendering of deliverables. Ability to manage multiple projects simultaneously

  • Strong interpersonal & organizational skills

  • Ability to easily adapt to changing priorities and challenges

  • Fluency in written and oral English


 

Your missions & responsibilities



  • Define, implement, and adapt adequate protocols according to the scientific purpose

  • Provide draft protocols according to the scientific and experimental strategies

  • Implement studies - relying on undeniable organizational skills - according to their design and established schedules

  • Be responsible for handling and processing fresh tumor samples upon their receipt for their usability in 3D cultures

  • Manage and perform - diligently - in vitro and ex-vivo experiments

    • Cell culture-based experiments for functional immuno-oncology assays

    • 3D tumor model cultures: organoids, tumor fragments, and spheroids, etc

    • Ex vivo processing of collected samples for immune or tumor cell isolation, or for further analyses (FACS, ELISA…)



  • Capture, analyze and compile data, including quality controls

  • Ensure accuracy and completeness of study documentation and provide study deliverables on time

  • Write internal protocols and standard operating procedures

  • Contribute to experimental development by implementing new methods and training other collaborators and team’s members


 

About us


Explicyte is a preclinical and translational contract research organization specialized in immuno-oncology. Our goal is to assist academics, biotechs, and pharmas in the discovery of novel targets and novel cancer immunotherapies.

With a team of 25, we’re a human-sized company, which brings under the same roof cell biologists, immunologists, in vivo scientists, medical oncologists, and bioinformaticians. Focused on sponsors’ projects, our activity also involves in-house R&D and external collaborations, which led to the publication of 30+ papers in high-impact-factor journals.

Based in Bordeaux, our lab is located at the Bergonié Comprehensive Cancer Center, where we work in close contact with medical oncology teams. We believe Explicyte is a place to learn, grow, and have impact in the fight against cancer.

More about us

 

Apply now! 


 

Over the past 5 years, Explicyte has supported several cancer immunotherapy programs aimed at inducing or enhancing a specific anti-tumor immune response. Here's a quick overview of our capacities for the advancement of novel cancer vaccines (peptide-based, DC-based, DNA- or RNA-based), cytokine therapies, oncolytic virus-based therapies, immune modulators (such as STING agonists), and immune adjuvants.

 

Specific Tumor Antigen Presentation: In vitro Efficacy & MoA Studies with a dedicated DC-mediated T-cell Killing Assay


 

We designed a cell-based system to assess the effectiveness of compounds aimed at enhancing the proficiency of antigen-presenting cells (APC), such as dendritic cells (DC), to capture and cross-present the tumor antigens, and the subsequent priming of CD8+ cytotoxic T cells against cancer cells. The assay provides dynamic flexibility, thus fitting different typologies of test compounds, with different modes of action and treatment modalities.

 

CASE STUDY 




Exposure of DCs to a target tumor antigen (TA) peptide enhances their antigenic presentation

Exposure of DCs to a target tumor antigen (TA) peptide enhances their antigenic presentation shown by the increase of its surrogate expression (surface (left) and intracellular (right)) using specific antibodies.






Target TA-exposed DCs lead to optimized priming of CD8 T cells, as shown through the increased IFNγ levels released in CD8 T cell / DC co-cultures.




Specific TA-exposed DC-mediated priming of CD8 T cells results in the induction of an adaptive effector T cell-mediated killing towards SK-MEL-5 tumor cells (target TA-positive).


Specific TA-exposed DC-mediated priming of CD8 T cells results in the induction of an adaptive effector T cell-mediated killing towards SK-MEL-5 tumor cells (target TA-positive). Real-time monitoring of SK-MEL-5 tumor cell killing mediated by CD8 T cells, primed by either TA-exposed or unexposed DCs, where apoptosis and tumor cell count were monitored over ~4 days and analyzed. In addition, IFNγ release by CD8 T cells is shown to be increased upon their TA-exposed DC priming, compared to TA-unexposed DCs.




TAKE HOME MESSAGE: Enhancing DC-mediated tumor antigen presentation induces a specific, optimized, adaptive effector T cell-mediated killing response.




 

How does it work?


A step-by-step overview of our tumor antigen-specific T-cell mediated tumor killing assay:

  • Choice of the right tumor cell lines based on their expression of the target antigens and their representativeness of the cancer indications of interest (>100 in-house human tumor cell lines)

  • Isolation of PBMC-originating immune populations required (monocytes, CD8) for autologous co-cultures

  • Generation of monocyte-derived APC such as differentiated & mature DCs

  • DC - CD8 T cell co-cultures for DC-mediated priming and activation of CD8 cells

  • CD8 T cell - target tumor cell co-cultures to capture the tumor-targeted cytotoxic response

  • Adequate treatment windows in line with the expected mechanisms of action and eventual promising combination treatments that could hold potential for improving anti-tumor response

  • Relevant readouts to capture each cell component (DC cytokines and surface markers, CD8 cytokines and surface markers, target tumor cell apoptosis/proliferation…)


More data ? Some questions ?  Contact our team !

Our capacities for the identification & Validation of Target Antigen Expression in Tumor Samples


spatial transcriptomics samples tumor specimens


Starting from FFPE tumor specimens, our translational team can explore and/or validate the expression of target tumor antigens across a set of cancer indications, using various platforms:

  • Single-Cell RNA-Seq to identify & quantify tumor antigen expression, and investigate tumor antigen heterogeneity and the immune landscape

  • Xenium Single-Cell Transcriptomics to explore tumor antigen patterns and tumor heterogeneity with respect to the immune microenvironment (immune infiltration, response, gene expression profiles and signatures…)

  • GeoMx Digital Spatial Profiling for comprehensive antigen mapping within the tumor microenvironment (TME)

  • Digital Pathology for precise and multiplexed analysis of antigen expression with the TME - providing a comprehensive view of the tumor antigenic profile and how it could interact with other components of the TME


Talk to a scientist from our translational team
data scientist job offer
Reference: DS0125
Contract type: Full-time position, permanent contract
Location: Bordeaux, France

 

You like to play with large multi-omics datasets and analyze spatial information ? You have an interest in the biological processes involved in the response to cancer immunotherapies ? Keep reading and apply!

 

About Explicyte


Explicyte is a preclinical and translational contract research organization specialized in immuno-oncology. Our mission is to support academics, biotechs and pharmas in the discovery of novel targets and novel cancer immunotherapies.

With a team of 25, we’re a human-sized company, which brings under the same roof cell biologists, immunologists, medical oncologists and bioinformaticians. Focused on sponsors’ projects, our activity also involves in-house R&D and external collaborations, which led to the publication of 30+ papers in high impact-factor journals.

Based in Bordeaux, our lab is located at the Bergonié Comprehensive Cancer Center, where we work in close contact with medical oncology teams. We believe Explicyte is a place to learn, grow, and have impact in the fight against cancer.

More about us

 

Your position


To strengthen our translational research activities and benefit our partners, we are currently looking for a trained Data Scientist with expertise in single-cell analysis.

In your role, you will be accountable for data mining & analysis in relation to sponsors’ and R&D studies. You will play with data from various biological samples (e.g. FFPE & fresh tumor samples, Peripheral Blood Mononuclear Cells, tumor immune infiltrates, etc.), captured through a range of platforms that include Chromium (10X Genomics) for single cell analysis,  Geomx DSP (Nanostring) for spatial transcriptomics as well as Xenium (10X genomics) for in situ single cell analysis.

You will interact with the translational team, and will report to the Chief Technology Officer.

What you will find at Explicyte

 

Your skills & traits



  • Post-graduate degree (MSc/PhD) in computational biology, in bioinformatics, or biostatistics

  • Proficiency in R programming language (markdown, shiny…) is mandatory. Other languages (Python, Groovy, mySQL…) are a plus

  • Experience with scRNA sequencing data analysis and other single-cell technologies.

  • Knowledge of basic and multivariate statistics is required

  • Monitoring scientific papers to stay up-to-date with latest advancements for analysis

  • Strong analytical and problem-solving abilities.

  • Excellent communication and teamwork skills.

  • Previous experience in a clinical research or bioinformatics environment is required.



 

Your missions & responsibilities



  • Grasp the underlying biological issues and research questions to guide data analysis strategies effectively

  • Collaborate closely with the Data Science Director, Study Managers, and interdisciplinary teams to optimally define and refine analysis criteria that align with project objectives

  • Collect, process, analyze, and compare large-scale datasets originating from diverse sources, including bulk and spatial single-cell genomics

  • Utilize existing bioinformatics tools and develop novel solutions as necessary to facilitate comprehensive data mining and analysis, encompassing large-scale data integration, supervised and unsupervised learning, statistical modeling, genomic analysis, and deep learning techniques

  • Generate and run data analysis reports that support research teams in delivering study outcomes that meet project requirements and adhere to established deadlines

  • Contribute to scientific publications as necessary


Apply now! 


 

Tertiary lymphoid structures cancer immunotherapy
We're excited to share this comprehensive review on Tertiary Lymphoid Structures (TLS), highlighting the work of Florent Peyraud, an oncologist from the Institut Bergonié. Florent completed his PhD thesis at Explicyte under the guidance of Prof. Antoine Italiano (Institut Bergonié/Gustave Roussy). Congratulations, Florent!

This review delves into recent advancements in TLS research, covering:

  • TLS composition, maturation status, and prevalence across tumor types

  • The role of TLS in antitumor immunity and prognosis, including their predictive value in response to immunotherapy

  • Therapeutic strategies: drivers of TLS formation, relevant preclinical models, and the induction of TLS using cytokines, chemokines, or existing cancer treatments.


Our translational team, who co-authored this review, has developed specialized expertise in the detection and scoring of tertiary lymphoid structure (TLS), combining digital pathology and pathologist-assisted image analysis.

Read the article
T cell tumor killing assays PBMCs CRO in vitro screening cell based assays
You're developing a small molecule, a biologic (mAb, bispecific, fusion protein), or a vaccination or probiotic-based strategy in immuno-oncology?

We just updated our range of immune-mediated tumor killing assays!

Key features: 

  • Human co-cultures: the cancer cell line of your choice is cultured with primary immune cells (PBMCs or specific subsets such as Ts or NKs)

  • Tumor cell death monitored over time by live-cell imaging

  • Immune response captured through the measurement of key cytokines

  • A comprehensive analytical platform to further explore and document the profile and mechanism of action of your candidate


See our specialized killing assays and related data: 

A question? A specific request? Contact us ! 

Analysis of PD1, LAG3, TIGIT, and TIM3 expression in human lung adenocarcinoma reveals a 25-gene signature predicting immunotherapy response
This retrospective work, led by Prof. Antoine Italiano (Bergonié Comprehensive Cancer Center) and funded by AstraZeneca and the Nouvelle-Aquitaine Regional Council, is based on the BIP study (NCT02534649). It seeks to evaluate the predictive value of CD8+ T cell exhaustion in lung adenocarcinoma patients treated with immune checkpoint inhibitors.

Assessment of TIL Exhaustion by Multiplex Immunohistofluorescence (mIHF)

Explicyte applied a panel indicative of tumor-infiltrating lymphocyte (TIL) exhaustion (CD8, CK7, LAG3, PD1, TIGIT, and TIM3) to tumor samples from 166 patients with advanced lung adenocarcinoma, collected before their treatment with anti-PD1/PD-L1 immunotherapy. Our mIHF analysis revealed that non-responders featured a high proportion of CD8+ T cells co-expressing PD1 and at least one other marker of exhaustion (LAG3, TIGIT, or TIM3). This profile was associated with poorer clinical outcomes, independently of other factors such as age, gender, and PD-L1 status assessed by IHC.

Whole Transcriptome Analysis Reveals a 25-Gene Signature Predictive of CD8+ T Cell Exhaustion and Response to Immunotherapy

Our translational team then analyzed a total of 135 FFPE samples - characterized for their exhaustion status by mIHF - using the HTG transcriptome panel (19,000+ targets). From this analysis, we identified a 25-gene transcriptomic signature strongly associated with the exhaustion phenotype, demonstrating high predictive accuracy. The robustness of this signature was validated in external datasets from NSCLC clinical trials (POPLAR [NCT02517892], OAK [NCT0200822], and MATCH-R [NCT02517892]).

The Predictive Value of the 25-Gene Exhaustion Signature Extends Beyond Lung Cancer

Datasets from the CA209-038 melanoma trial (NCT01621490) and the JAVELIN Renal 101 (NCT0268400601) trial in renal carcinoma confirmed the robustness of the CD8+ T cell exhaustion signature as a biomarker for stratifying patients likely to benefit from immunotherapy.

 

Read paper

Predictive value of tumor microenvironment on pathologic response to neoadjuvant chemotherapy in patients with undifferentiated pleomorphic sarcomas.
In this retrospective study led by Pr. Antoine Italiano (Bergonié & Gustave Roussy Comprehensive Cancer Centers) based on the NEOSARCOMICS trial, we investigated whether microenvironment features of undifferentiated pleomorphic sarcomas (UPS) - an aggressive subtype of soft tissue sarcoma - could predict response to neoadjuvant anthracycline-based chemotherapy.


  • Microenvironment features & prognosis without neoadjuvant therapy: We applied a multiplexed immunohistofluorescence (mIHF) panel on tumor samples from 47 patients with UPS who underwent surgical resection. We found that patients with poor survival had fewer infiltrated immune cells (especially CD8+ cells and M1 macrophages), while patients with better overall survival tended to feature high tumor infiltration.

  • Microenvironment features & response to neoadjuvant therapy: We then analyzed the gene expression of baseline samples from 24 patients with resectable UPS, who were treated with neoadjuvant chemotherapy. We found that a good response was associated with a high proliferation and low immune infiltration phenotype. This finding was confirmed with the multiplex mIHF panel: patients who poorly respond to neoadjuvant therapy feature high immune infiltration. Plasma proteomics confirmed the upregulation of cell cycle pathways in low immune infiltration patients.


These results suggest that immune infiltration status can serve to stratify UPS patients before surgical resection. Patients with high immune infiltration benefit from a better prognosis from the start and may respond poorly to chemotherapy. However, neoadjuvant therapy may improve the prognosis of immune-low UPS patients.

Read paper in the Journal Hematology & Oncology

Single cell spatial transcriptomics CRO Oncology Immunotherapy US EU France Japan
Explicyte is the first immuno-oncology CRO in Europe equipped with the 10x Xenium platform for single-cell spatial transcriptomics!  Training by the 10x Genomics team started! Why is it exciting for immuno-oncology?

“For our translational and data science team, the Xenium platform opens unexplored avenues for analyzing tumors and their microenvironment in response to various cancer modalities, including immunotherapies.

For our sponsors, gaining a deep understanding of the gene expression profiles and spatial distribution of individual cells within a tumor specimen can provide unique insights into understanding tumor biology, and mechanisms at play in anti-cancer response or resistance to treatment. It creates opportunities to identify new targets and biomarkers to predict clinical outcomes for cancer patients.

As a researcher, I’m eager to watch tumor cells, immune cells, cancer-associated fibroblasts with the Xenium eye, and to witness the single-cell architecture of immune infiltrates and tertiary lymphoid structures. We are truly excited as we enter a new era of cancer discovery."

Alban Bessede, CEO of Explicyte Immuno-Oncology.

 

About the 10x Xenium platform:

  • Compatible with standard tumor specimens (frozen & FFPE)

  • TME architecture is visualized at subcellular level with a 5000-gene panel

  • Single-cell analysis & segmentation with AI-driven algorithm


 

Learn about our services for target identification & biomarker discovery in immuno-oncology.
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