Thanos Mourikis
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Thanos Mourikis has a total of 46 co-authors. Here are the top co-authors by number of shared publications:
- Angelo L. Grauel
Novartis Institutes for Biomedical Research 5 Cambridge
20 shared publications - Anna F. Farago
Novartis Pharmaceuticals Corporation, Cambridge, Massachusetts
20 shared publications - Carlotta Costa
Mass. General Hospital Cancer Center, Charlestown, MA
20 shared publications - Claudia Bossen
Novartis Pharma
20 shared publications - Fanying Tang
Novartis Pharmaceuticals Corporation, Cambridge, Massachusetts
20 shared publications - Heather Burks
Dep. Chem., Merkert Chem. Cent., Boston Coll., Chestnut Hill, MA 02467, USA
20 shared publications
Latest Publications
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Table S4 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Baseline gene expression with significant association with ICI treatment outcome (OS) in PD-L1 negative in both CANOPY-1 and Tempus cohort 1 patients
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S4 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Baseline gene expression with significant association with ICI treatment outcome (OS) in PD-L1 negative in both CANOPY-1 and Tempus cohort 1 patients
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Criteria to define post-ICI patients (n = 326) into acquired (n = 75) and primary resistance (n = 59) in Tempus cohort
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S2 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Criteria to define post-ICI patients (n = 326) into acquired (n = 75) and primary resistance (n = 59) in Tempus cohort
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Table S6 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Table of differentially expressed gene table in acquired resistance compared to treatment naïve cohort
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S6 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Table of differentially expressed gene table in acquired resistance compared to treatment naïve cohort
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S3 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Distribution of biopsy tissue sites comparing the treatment-naïve group (cohort 1) with the post-ICI group (cohort 2) in the left two panels and contrasting primary resistance with acquired resistance within cohort 2 in the right two panels
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S3 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Distribution of biopsy tissue sites comparing the treatment-naïve group (cohort 1) with the post-ICI group (cohort 2) in the left two panels and contrasting primary resistance with acquired resistance within cohort 2 in the right two panels
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
List of gene expression signatured
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S1 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
List of gene expression signatured
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Table 1 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Key patient characteristics of the five cohorts in the study
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable 1 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Key patient characteristics of the five cohorts in the study
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S6 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Analysis of TME between pre- and post-ICI samples in patients with paired biopsies (Tempus cohort 3).
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S6 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Analysis of TME between pre- and post-ICI samples in patients with paired biopsies (Tempus cohort 3).
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Figure 4 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Analysis of the TME after monochemotherapy in the Tempus cohort 3 and SU2C-NSCLC cohorts. A, Volcano plot of differential expression analysis for 12 patients treated with platinum-based chemotherapy within Tempus cohort 3. B, Box plot of IFNγ signature expression before and after platinum therapy in 12 patients with paired biopsies. C, Box plot of the IFNγ signature by prior platinum-based therapy history in the SU2C-NSCLC cohort. D, Schematic of PD-L1 IHC class switching observed in Tempus cohort 3 by treatment class (ICI vs. non-ICI).
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure 4 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Analysis of the TME after monochemotherapy in the Tempus cohort 3 and SU2C-NSCLC cohorts. A, Volcano plot of differential expression analysis for 12 patients treated with platinum-based chemotherapy within Tempus cohort 3. B, Box plot of IFNγ signature expression before and after platinum therapy in 12 patients with paired biopsies. C, Box plot of the IFNγ signature by prior platinum-based therapy history in the SU2C-NSCLC cohort. D, Schematic of PD-L1 IHC class switching observed in Tempus cohort 3 by treatment class (ICI vs. non-ICI).
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Patient characteristics of three Tempus cohorts for age, gender, race and PD-L1 class
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S2 from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Patient characteristics of three Tempus cohorts for age, gender, race and PD-L1 class
- Open Access
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Data from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Immune checkpoint inhibitors (ICI) have demonstrated clinical efficacy in non–small cell lung cancer (NSCLC), and extensive research has been conducted to explore biomarkers predictive of ICI response. However, the impact of ICI on the tumor and tumor microenvironment at primary and acquired resistance states is understudied due to the difficulty of collecting tissue biopsies at disease progression. In this study, we leveraged clinical and real-world data to study ICI resistance. Data used in this work consist of treatment outcome information and tissue RNA sequencing data from advanced-stage NSCLC cohorts from three sources: the Tempus real-world evidence database; CANOPY-1 (NCT03631199), a phase III clinical trial in first-line NSCLC; and Stand Up To Cancer (SU2C) publication. Our results indicate higher IFNγ and T-cell exhaustion in patients’ tumors at acquired resistance and low levels of B-cell and dendritic cell expression at primary resistance. The lower B-cell and dendritic cell levels may be primarily driven by prior treatment with a platinum-based chemotherapy regimen. Baseline transcriptomics data additionally suggest that innate immune cells may play an antitumor role in PD-L1<1% patients, whereas IFNγ and T-cell inflammation are more predictive of ICI treatment outcomes in PD-L1≥1% patients. Our study suggests a clear divergence of the tumor microenvironment in patients with primary versus acquired resistance and a potential role of myeloid cells in the PD-L1<1% population. These findings shed light on potential next-generation therapies to overcome ICI resistance.Significance:ICI benefits patients with NSCLC, but resistance remains common. Our research highlights differences in tumor environments between primary and acquired resistance after ICI treatment, emphasizing distinct post-therapy approaches. Findings also suggest myeloid cells as key players in PD-L1–negative cases, guiding future treatment strategies to overcome resistance and improve outcomes.
- 30 June 2025
- Published by American Association for Cancer Research (AACR)
Open AccessData from Defining Non–small Cell Lung Cancer Tumor Microenvironment Changes at Primary and Acquired Immune Checkpoint Inhibitor Resistance Using Clinical and Real-World Data
Immune checkpoint inhibitors (ICI) have demonstrated clinical efficacy in non–small cell lung cancer (NSCLC), and extensive research has been conducted to explore biomarkers predictive of ICI response. However, the impact of ICI on the tumor and tumor microenvironment at primary and acquired resistance states is understudied due to the difficulty of collecting tissue biopsies at disease progression. In this study, we leveraged clinical and real-world data to study ICI resistance. Data used in this work consist of treatment outcome information and tissue RNA sequencing data from advanced-stage NSCLC cohorts from three sources: the Tempus real-world evidence database; CANOPY-1 (NCT03631199), a phase III clinical trial in first-line NSCLC; and Stand Up To Cancer (SU2C) publication. Our results indicate higher IFNγ and T-cell exhaustion in patients’ tumors at acquired resistance and low levels of B-cell and dendritic cell expression at primary resistance. The lower B-cell and dendritic cell levels may be primarily driven by prior treatment with a platinum-based chemotherapy regimen. Baseline transcriptomics data additionally suggest that innate immune cells may play an antitumor role in PD-L1<1% patients, whereas IFNγ and T-cell inflammation are more predictive of ICI treatment outcomes in PD-L1≥1% patients. Our study suggests a clear divergence of the tumor microenvironment in patients with primary versus acquired resistance and a potential role of myeloid cells in the PD-L1<1% population. These findings shed light on potential next-generation therapies to overcome ICI resistance.Significance:ICI benefits patients with NSCLC, but resistance remains common. Our research highlights differences in tumor environments between primary and acquired resistance after ICI treatment, emphasizing distinct post-therapy approaches. Findings also suggest myeloid cells as key players in PD-L1–negative cases, guiding future treatment strategies to overcome resistance and improve outcomes.