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Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase of interrogated genomic sequence, varies across malignancies. Panel sequencing–based estimates of TMB have largely replaced whole-exome sequencing–derived TMB in the clinic. Retrospective evidence suggests that TMB can predict the efficacy of immune checkpoint inhibitors, and data from KEYNOTE-158 led to the recent FDA approval of pembrolizumab for the TMB-high tumor subgroup. Unmet needs include prospective validation of TMB cutoffs in relationship to tumor type and patient outcomes. Furthermore, standardization and harmonization of TMB measurement across test platforms are important to the successful implementation of TMB in clinical practice.Significance:Evaluation of TMB as a predictive biomarker creates the need to harmonize panel-based TMB estimation and standardize its reporting. TMB can improve the predictive accuracy for immunotherapy outcomes, and has the potential to expand the candidate pool of patients for treatment with immune checkpoint inhibitors.

Onkologische Therapieverfahren, die Immuncheckpointinhibitoren beinhalten, werden mit Erfolg bei vielen Tumorentitaten eingesetzt. Da jedoch nur ein Teil der Patienten profitiert und unerwunschte Nebenwirkungen auftreten konnen, ist es wichtig, verlassliche Biomarker zur Pradiktion des Therapieerfolgs zu identifizieren. In dieser Ubersichtsarbeit werden bereits etablierte sowie in der Entwicklung befindliche Biomarker beschrieben und zugrunde liegende Konzepte erlautert. Aus tumorbiologischer Sicht werden zukunftig komplexe (kompositorische) Biomarker, die das Zusammenspiel des molekularen Tumorprofils, des Tumormikromilieus und Eigenschaften des Wirts abbilden, eine grosere Rolle spielen, wobei der Zusatznutzen in prospektiven klinischen Studien belegt werden muss.

Introduction The advent of immune checkpoint blockade (ICB) has led to significantly improved disease outcome in lung adenocarcinoma (ADC), but response of ALK/EGFR-positive tumors to immune therapy is limited. The underlying immune biology is incompletely understood. Methods We performed comparative mRNA expression profiling of 31 ALK-positive, 40 EGFR-positive and 43 ALK/EGFR-negative lung ADC focused on immune gene expression. The presence and levels of tumor infiltration lymphocytes (TILs) as well as fourteen specific immune cell populations were estimated from the gene expression profiles. Results While total TILs were not lower in ALK-positive and EGFR-positive tumors compared to ALK/EGFR-negative tumors, specific immunosuppressive characteristics were detected in both subgroups: In ALK-positive tumors, regulatory T cells were significantly higher compared to EGFR-positive (fold change: FC = 1.9, p = 0.0013) and ALK/EGFR-negative tumors (FC = 2.1, p = 0.00047). In EGFR-positive tumors, cytotoxic cells were significantly lower compared to ALK-positive (FC = − 1.7, p = 0.016) and to ALK/EGFR-negative tumors (FC = − 2.1, p = 2.0E-05). A total number of 289 genes, 40 part of cytokine–cytokine receptor signaling, were differentially expressed between the three subgroups. Among the latter, five genes were differently expressed in both ALK-positive and EGFR-positive tumors, while twelve genes showed differential expression solely in ALK-positive tumors and eleven genes solely in EGFR-positive tumors. Conclusion Targeted gene expression profiling is a promising tool to read out tumor microenvironment characteristics from routine diagnostic lung cancer biopsies. Significant immune reactivity including specific immunosuppressive characteristics in ALK- and EGFR-positive lung ADC, but not a total absence of immune infiltration supports further clinical evaluation of immune-modulators as partners of ICB in such tumors.

TP53 mutations are the most common single gene alteration in human cancer with diagnostic and prognostic implications in some cancer types. While no TP53-targeting therapeutics have been approved in the USA or Europe yet, drugs tailored to specific TP53 mutations, restoring the functionality of mutated TP53 (TP53mut), and protecting TP53 from negative regulation are being explored in preclinical studies and clinical trials. We performed a comprehensive mRNA expression analysis in 24 cancer types of the TCGA to extract (i) a consensus expression signature shared across TP53 mutation types and cancer types, (ii) differential gene expression patterns between different TP53 mutation types such as LOF, GOF, as well as dominant-negative mutations, and (iii) cancer types specific gene expression patterns. Mutational hotspots showed a similar pattern across cancer types, but at the same time prevalence was significantly different between cancer types for about half of the most prevalent hotspots. Both can be explained in part by the mutational processes operational for example the clock-like process behind SBS1 that is operational across cancer types and aflatoxin exposure assocated with SBS24 that ist operational in liver hepatocellular carcinoma. Virtually no genes were differential between tumors harboring different types of TP53 mutations in none of the cancer types, while hundreds of genes were over- and underexpressed in TP53mut compared to TP53wt tumors. A consensus gene list of 178 common over- and 32 common underexpressed genes was shared between at least two-thirds of the 24 cancer types. Analysis of the immune tumor microenvironment revealed exclusively decreased immune cell populations in the TP53mut tumors in six, a mixed pattern in four, exclusively increased immune cell populations in two, and no significant alterations in 20 cancer subtypes. The analysis of a large cohort of human tumors complements results from experimental studies and support the development of novel strategies for therapeutic targeting of TP53mut. Citation Format: Jan Budczies, Eva Romanovsky, Klaus Kluck, Iordanis Ourailidis, Michael Menzel, Susanne Beck, Markus Ball, Daniel Kazdal, Petros Christopoulos, Peter Schirmacher, Thorsten Stiewe, Albrecht Stenzinger. Homogenous TP53mut-associated tumor biology across mutation and cancer types revealed by comprehensive mRNA expression analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2607.

Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase of interrogated genomic sequence, varies across malignancies. Panel sequencing–based estimates of TMB have largely replaced whole-exome sequencing–derived TMB in the clinic. Retrospective evidence suggests that TMB can predict the efficacy of immune checkpoint inhibitors, and data from KEYNOTE-158 led to the recent FDA approval of pembrolizumab for the TMB-high tumor subgroup. Unmet needs include prospective validation of TMB cutoffs in relationship to tumor type and patient outcomes. Furthermore, standardization and harmonization of TMB measurement across test platforms are important to the successful implementation of TMB in clinical practice.Significance:Evaluation of TMB as a predictive biomarker creates the need to harmonize panel-based TMB estimation and standardize its reporting. TMB can improve the predictive accuracy for immunotherapy outcomes, and has the potential to expand the candidate pool of patients for treatment with immune checkpoint inhibitors.

EGFR exon20 insertions (ex20ins) are targeted by novel compounds in non-small-cell lung cancer (NSCLC). However, data about outcome under conventional therapies and the influence of molecular features are scarce.We retrospectively analysed 118 patients with evaluation of radiologic response based on RECIST v1.1. TP53 status was available for 88 cases.Platinum doublets and chemoimmunotherapy showed similar response rates (20-25%), disease control rates (80%) and median progression-free survival (mPFS, ≈7 months), which were longer compared to monochemotherapy (9%, 59%, 4.1 months), EGFR inhibitors (0%, 46%, 3.0) and PD-(L)1 inhibitors (0%, 30%, 2.1; p 0.05). Overall survival (OS) was not dependent on the choice of first-line treatment, but related to more lines of systemic therapy (p 0.05). TP53 mutations and brain metastases were associated with shorter PFS under platinum doublets and EGFR inhibitors (HR 3.3-6.1, p 0.01), and shorter OS for patients receiving both treatments (p 0.05). More tumour CD8Platinum doublets and chemoimmunotherapy have the highest activity with ORR of 20-25% and mPFS of approximately 7 months, regardless of the cytotoxic partner, while PD-(L)1 inhibitors show limited efficacy. TP53 mutations, brain metastases and a lower tumour CD8/Th1-cell ratio are independently associated with shorter survival.

Background and aims Due to the high load of immunogenic frameshift neoantigens, tumors arising in individuals with Lynch syndrome (LS), the most common inherited colorectal cancer (CRC) syndrome, are characterized by a pronounced immune infiltration. However, the immune status of normal colorectal mucosa in LS is not well characterized. We assessed the immune infiltrate in tumor-distant normal colorectal mucosa from LS CRC patients, sporadic microsatellite-unstable (MSI) and microsatellite-stable (MSS) CRC patients, and cancer-free LS carriers. Methods CD3-positive, FOXP3-positive and CD8-positive T cells were quantified in 219, 233 and 201 formalin-fixed paraffin-embedded (FFPE) normal colonic mucosa tissue sections from CRC patients and LS cancer-free carriers and 26, 22 and 19 LS CRCs, respectively. CD3-positive T cells were also quantified in an independent cohort of 97 FFPE normal rectal mucosa tissue sections from LS carriers enrolled on the CAPP2 clinical trial. The expression of 770 immune-relevant genes was analyzed in a subset of samples using the NanoString nCounter platform. Results LS normal mucosa specimens showed significantly elevated CD3-, FOXP3- and CD8-positive T cell densities compared to non-LS controls. Gene expression profiling and cluster analysis revealed distinct immune profiles in LS carrier mucosa with and without cancer manifestation. Long term follow-up of LS carriers within the CAPP2 trial found a correlation between mucosal T cell infiltrate and time to subsequent tumor occurrence. Conclusion LS carriers show elevated mucosal T cell infiltration even in the absence of cancer. The normal mucosa immune profile may be a temporary or permanent tumor risk modifier in LS carriers.

Background Targeted therapies have improved survival and quality of life for patients with non-small-cell lung cancer with actionable driver mutations. However, epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor 2 gene (HER2, also known as ERBB2) exon 20 insertions (Ex20mut) are characterized by a poor response to currently approved tyrosine kinase inhibitors and immunotherapies. The underlying immune biology is not well understood. Materials and methods We carried out messenger RNA expression profiling of lung adenocarcinomas (ADCs) with ERBB2 (n = 19) and EGFR exon 20-insertion mutations (n = 13) and compared these to tumors with classical EGFR mutations (n = 40, affecting EGFR exons 18, 19 or 21) and EGFR/ERBB2 mutation-negative lung ADC (EGFR/ERBB2wt, n = 26) focusing on immunologically relevant transcripts. Tumor-infiltrating immune cells were estimated from gene expression profiles. Results Cytotoxic cells were significantly lower in EGFR-mutated tumors regardless of the affected exon, while Th1 cells were significantly lower in EGFR-Ex20mut compared to EGFR/ERBB2wt tumors. We assessed the differentially expressed genes of ERBB2-Ex20mut and EGFR-Ex20mut tumors compared to EGFR-Ex18/19/21mut and EGFR/ERBB2wt tumors. Of these, the genes GUSB, HDAC11, IFNGR2, PUM1, RASGRF1 and RBL2 were up-regulated, while a lower expression of CBLC, GBP1, GBP2, GBP4 and MYC was observed in all three comparison groups. The omnibus test revealed 185 significantly (FDR = 5%) differentially expressed genes and we found these four most significant gene expression changes in the study cohort: VHL and JAK1 were overexpressed in ERBB2-Ex20mut and EGFR-Ex20mut tumors compared to both EGFR-Ex18/19/21mut and EGFR/ERBB2wt tumors. RIPK1 and STK11IP showed the highest expression in ERBB2-Ex20mut tumors. Conclusions Targeted gene expression profiling is a promising tool to read out the characteristics of the tumor microenvironment from routine diagnostic lung cancer biopsies. Significant immune reactivity and specific immunosuppressive characteristics in ERBB2-Ex20mut and EGFR-Ex20mut lung ADC with at least some degree of immune infiltration support further clinical evaluation of immune-modulators as partners of immune checkpoint inhibitors in such tumors., Highlights • Gene expression profiling to characterize the tumor microenvironment is feasible using diagnostic lung cancer biopsies. • EGFR exon 20-mutated tumors show a higher expression of VHL and an immunologic ‘colder’ phenotype than EGFR/ERBB2wt tumors. • ERBB2 exon 20-mutated tumors show an overexpression of RIPK1 and STK11IP and a reduction of cytotoxic natural killer cells. • Drugs targeting these alterations are potential partners of checkpoint blockade in exon 20-mutated non-small-cell lung cancer.

Homologous recombination deficiency (HRD) leads to DNA double strand breaks and can be exploited by the use of PARP inhibitors to induce synthetic lethality of cancer cells. Over the last years, the clinical utility of this therapeutic concept was successfully demonstrated in ovarian, breast, prostate and pancreatic cancer. Currently, the role of HRD is investigated in trials testing immune checkpoint blockers alone or in combination with PARP inhibitors. But the relationship between HRD and immune cell contexture in cancer is incompletely understood. Here, we analyzed the association of HRD with tumor mutational burden (TMB), immune cell composition and gene expression in 10,000 tumors of 32 solid cancer types from the TCGA project. For each of the tumors, the HRD sum score (HRDsum) was calculated from allele-specific copy numbers (derived from genotyping data) and the TMB was calculated from the missense mutation calls (derived from WES data). HRDsum and tumor mutational burden (TMB) correlated positively pan-cancer (R=0.42) and within most cancer types. By contrast, HRD was absent in ultra-hypermutated (TMB >= 100 mut/Mb) tumors. Ultra-hypermutation was typically associated with microsatellite instability (MSI) or POLE/POLD1 mutation. Significant positive correlation of the HRDsum and immune cell infiltration was observed pan-cancer, but only within a few cancer types. Significant positive correlation of HRDsum and the T-cell inflamed gene expression profile was observed only in 7 of 32 cancer types: in breast cancer, ovarian cancer, low grade glioma, testicular germ cell tumors and three kinds of kidney cancer. A functional genomics analysis was carried out by correlating genome-wide gene expression data (derived from RNA-Seq) with HRDsum. The resulting lists of significantly correlating genes were analyzed for enrichment of 50 hallmark gene sets (catalog H, MSigDB). We detected simultaneous enrichment of two proliferation-related categories, E2F_TARGETS and G2M_checkpoint, for 13 of the 32 cancer types (ACC, BLCA, BRCA, KIRC, KIRP, LGG, LIHC, LUAD, LUSC, MESO, PRAD, SARC, THYM). The study shows that HRD is associated with immunological activation of the tumor microenvironment only in a minority of cancer types. Our data support further studies of immune activating therapies in combination with immune checkpoint blockade in the not intrinsically activated cancer types and advocate to combine different genomic and transcriptomic biomarkers (including HRD and TMB) for comprehensive molecular diagnostics and therapy guidance. Citation Format: Jan Budczies, Klaus Kluck, Susanne Beck, Iordanis Ouralidis, Michael Allgäuer, Michael Menzel, Eugen Rempel, Daniel Kazdal, Lukas Perkhofer, Alexander Kleger, Peter Schirmacher, Thomas Seufferlein, Albrecht Stenzinger. HRD is inversely correlated with MSI and identifies immunologically cold tumors in most cancer types [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 810.

Metastasis remains the key issue impacting cancer patient survival and failure or success of cancer therapies. Metastatic spread is a complex process including dissemination of single cells or collective cell migration, penetration of the blood or lymphatic vessels and seeding at a distant organ site. Hundreds of genes involved in metastasis have been identified in studies across numerous cancer types. Here, we analyzed how the metastasis-associated gene MACC1 cooperates with other genes in metastatic spread and how these coactions could be exploited by combination therapies: We performed (i) a MACC1 correlation analysis across 33 cancer types in the mRNA expression data of TCGA and (ii) a comprehensive literature search on reported MACC1 combinations and regulation mechanisms. The key genes MET, HGF and MMP7 reported together with MACC1 showed significant positive correlations with MACC1 in more than half of the cancer types included in the big data analysis. However, ten other genes also reported together with MACC1 in the literature showed significant positive correlations with MACC1 in only a minority of 5 to 15 cancer types. To uncover transcriptional regulation mechanisms that are activated simultaneously with MACC1, we isolated pan-cancer consensus lists of 1306 positively and 590 negatively MACC1-correlating genes from the TCGA data and analyzed each of these lists for sharing transcription factor binding motifs in the promotor region. In these lists, binding sites for the transcription factors TELF1, ETS2, ETV4, TEAD1, FOXO4, NFE2L1, ELK1, SP1 and NFE2L2 were significantly enriched, but none of them except SP1 was reported in combination with MACC1 in the literature. Thus, while some of the results of the big data analysis were in line with the reported experimental results, hypotheses on new genes involved in MACC1-driven metastasis formation could be generated and warrant experimental validation. Furthermore, the results of the big data analysis can help to prioritize cancer types for experimental studies and testing of combination therapies.

BACKGROUND: Recent findings indicate that the currently approved predictive biomarker for immune checkpoint blockade (ICB), i.e. PD-L1 expression, is imperfect. Hence, additional biomarkers are warranted, and ICB-related gene expression profiling (GEP) was advocated as a promising approach enabling comprehensive interrogation of the ICB-effector compartment. Here, we assessed inter- and intra-tumor heterogeneity (ITH) of the immunological microenvironment using a comprehensive gene expression profiling approach (770 genes) to further elucidate the biological basis for new diagnostic applications. METHODS: All formalin-fixed paraffin-embedded tissue specimens used for this study were derived from surgically resected lung adenocarinomas at the Thoraxklinik at Heidelberg University Hospital and diagnosed (according to 2015 WHO Classification of lung tumors) at the Institute of Pathology at Heidelberg University Hospital. To evaluate the significance of ITH on gene expression profiling, multi-regional gene expression analysis (2-4 samples per tumor) was performed for 24 ADC using the NanoString IO 360 Panel. ANOVA was used to compare inter-tumor variance to intra-tumor variance of mRNA expression. The F statistics was calculated as ratio of these quantities. A list of genes with significantly higher inter-tumor variance was isolated using the F-test. Multiple testing was addressed using the Benjamini-Hochberg method to control the false discovery rate (FDR). RESULTS: In an unsupervised hierarchical clustering analysis of the entire set of 770 genes, the two to four segments of each of the tumors clustered together. For 752 of the 770 genes (97.7%) the inter-tumor variance was significantly higher than the intra-tumor variance (FDR CONCLUSION: In our preliminary analysis of ICB-GEP, variance of expression levels between tumors was substantial and exceeded ITH for the majority of analyzed genes. In-depth analyses are ongoing to further delineate the influence on gene signatures and ICB related pathways. Citation Format: Daniel Kazdal, Jan Budczies, Martina Kirchner, Klaus Kluck, Michael Allgäuer, Olaf Neumann, Regine Brandt, Eugen Rempel, Carolin Ploeger, Moritz von Winterfeld, Marc Schneider, Steffen Dietz, Hauke Winter, Thomas Muley, Holger Sülmann, Michael Meister, Felix Herth, Claus Heussel, Roland Penzel, Volker Endris, Peter Schirmacher, Michael Thomas, Petros Christopoulos, Albrecht Stenzinger. Inter- and intra- tumorheterogeneity of the microenvironment in pulmonary adenocarcinoma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1571.