Paired Tumor Samples Research Articles

Abstract 4311: Using multiomics analysis to identify dysregulated transcription factors in non-small cell lung cancer (NSCLC) to drive the expression of a cancer-activated synthetic biomarker

Abstract Early detection of cancer is an important driver of increased survival, quality of life and reduced healthcare costs. Earli is developing a highly sensitive, orthogonal approach that uses a genetic construct that usurps dysregulated pathways and actively forces cancer cells to drive the expression of a detectable ‘synthetic’ biomarker. Identification of abnormally elevated transcription factors (TF) in cancer is crucial when developing a cancer-activated expression platform. Evaluating TF function in a genome wide fashion is a challenge, especially since TF activity is not solely reflected by just its RNA expression or even by protein abundance, but also its post-translational modification including phosphorylation. In this study, we use the publicly available multiomics dataset from Clinical Proteomic Tumor Analysis Consortium (CPTAC) which includes RNA-seq based transcriptional profiling, MS based protein abundance and phosphorylation from 211 paired tumor and normal adjacent samples derived from NSCLC patients. Performing Multiomics Factor Analysis (MOFA) analysis, we identified a short list of 34 dysregulated TFs in NSCLC that displayed high expression levels in at least two of the three omics platforms relative to normal tissues, six of which scored highly across all three. A subset of candidate TF binding sequences were subcloned as multimers into expression constructs with a basal promoter and empirically evaluated in multiple cancer cell lines, including patient-derived xenograft (PDX) cell lines and normal cell lines.Transfection experiments demonstrated that these novel chimeric synthetic promoters could produce robust levels of expression in PDX-derived cell lines that was 10-20x higher than expression mediated by known cancer-activated promoters such as the endogenous survivin (BIRC5) promoter. Furthermore, levels achieved were only 3-4 fold lower than a control EF-1a promoter, one of the strongest promoters, typically used to drive constitutive expression in mammalian cells. Currently, a small subset of these chimeric constructs is being tested in murine tumor models and in large animal cancer models such as oncopigs. These experiments will further drive the development of this approach for use in early cancer detection. Citation Format: Yue Wendy Zhang, Shireen Rudina, Dariusz Wodziak, Chloe Xia, Maggie Louie, Albert Park, David Suhy. Using multiomics analysis to identify dysregulated transcription factors in non-small cell lung cancer (NSCLC) to drive the expression of a cancer-activated synthetic biomarker. [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 4311.

Abstract PD13-02: PD13-02 Exploratory gene expression analysis of coopERA Breast Cancer (BC): a study evaluating neoadjuvant giredestrant versus anastrozole alone and in combination with palbociclib in ER-positive, HER2-negative untreated early BC

Abstract Background: Endocrine therapy remains the mainstay treatment for ER+ BC. CDK4/6 inhibitors induce cell cycle arrest and decrease tumor cell proliferation, as measured by the biomarker Ki67, when used in combination with aromatase inhibitors (AI) such as anastrozole (A). Giredestrant is an oral, well-tolerated, and highly potent selective ER degrader (SERD) that achieves robust ER suppression and has demonstrated antitumor activity in the metastatic setting either as monotherapy or in combination with the CDK4/6 inhibitor palbociclib. The randomized, phase 2 coopERA Breast Cancer study (NCT04436744) evaluated giredestrant in postmenopausal women with untreated ER+/HER2- early BC and met its primary endpoint, demonstrating superior Ki67 suppression with giredestrant vs A after two weeks of single agent treatment. This suppression was maintained at surgery where giredestrant vs A was evaluated in combination with palbociclib. Here, we present gene expression analysis and associations with Ki67 response. Methods: 221 eligible patients with measurable ER+/HER2– untreated early BC and baseline Ki67 ≥ 5% were randomized 1:1 to receive 30 mg oral daily (PO QD) giredestrant or 1 mg PO QD A on Days 1–14 of a neoadjuvant window-of-opportunity phase, followed by four 28-day cycles of PO QD giredestrant or A with 125 mg PO QD palbociclib on Days 1–21 before surgery. FFPE specimens were collected at baseline, week 2 and surgery; and RNA-sequencing (seq) was performed. Gene expression analysis included ER pathway activity, PAM50 intrinsic subtypes, and other pathway analyses, assessed by Ki67 response. Results: 112 and 92 patients had paired tumor samples at baseline/week 2 and baseline/surgery, respectively, that were evaluable for RNA-seq and Ki67. The trend for greater Ki67 protein suppression by giredestrant vs A from baseline to week 2 was maintained in the RNA-seq evaluable subset. Interestingly, the same subset revealed similar suppression of both proliferation gene signatures and ER pathway activity between A and giredestrant. PAM50 subtyping showed that 69% of tumors were luminal (Lum) A and 29% were LumB at baseline. Less than 1% were classified as basal or HER2. Interestingly, giredestrant (G) showed greater suppression of both Ki67 and ER pathway activity vs A in LumB tumors (Ki67: -82% [G] vs -62% [A]; ER activity: -0.83 [G] vs -0.66 [A]) compared to LumA at week 2 (Ki67: -74% [G] vs -71% [A]; ER activity: -0.60 [G] vs -0.70 [A]). Moreover, at week 2, 83% (13/18) of LumB tumors at baseline transitioned into a LumA subtype after giredestrant treatment compared to 46% (5/11) of A-treated tumors. Giredestrant-treated tumors also achieved lower mean ER pathway activity compared to those treated with A at surgery (p=0.023). Gene set enrichment analysis showed downregulation of cell-cycle and ER-related pathways at week 2 and surgery in both treatment arms. A subset of cytokine signaling and immune response pathways were increased at week 2 compared to baseline after treatment with A but not with giredestrant. These pathways were also associated with Ki67 resistance (Ki67 ≥ 7.4%) in A-treated tumors. This was consistent with differential expression analysis of samples collected at week 2, in which cytokine signaling pathways were enriched in A compared to giredestrant. Notably, IL12 signaling was enriched in tumors resistant to A but not giredestrant. Conclusions: Giredestrant has a greater effect on Ki67 protein suppression in ER+/HER2- early BC compared to A, which is more pronounced in LumB tumors. This benefit may involve differential regulation of cytokine and immune responses. These exploratory findings reveal novel mechanisms that may differentiate the activity of SERDs vs AIs, which warrant further validation. Citation Format: Alejandro M. Chibly, Tharu M. Fernando, Ciara Metcalfe, Marc Hafner, Gilbert Owusu-Manu, Sara Hurvitz, Aditya Bardia, Peter A. Fasching, Yeon H. Park, Vanesa Quiroga, Jutta Steinseifer, Pablo Perez-Moreno, Heather M. Moore. PD13-02 Exploratory gene expression analysis of coopERA Breast Cancer (BC): a study evaluating neoadjuvant giredestrant versus anastrozole alone and in combination with palbociclib in ER-positive, HER2-negative untreated early BC [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD13-02.

Abstract PD10-06: PD10-06 Clinical outcomes and exploratory gene expression analysis of OPPORTUNE: a phase II window-of-opportunity study to evaluate pictilisib+anastrozole versus anastrozole alone in ER-positive breast cancer

Abstract Background: Endocrine therapy (ET) is the mainstay of ER+ BC treatment. However; up to 20% of ER+ BC tumors progress into metastatic disease and develop ET resistance, underscoring the need for combination therapies. Preclinical data suggest that combining phosphatidylinositol 3-kinase (PI3K) inhibitors with ET may overcome resistance. OPPORTUNE, a preoperative phase II window trial, evaluated whether the combination of the PI3K inhibitor pictilisib with anastrozole (PIC+ANA) can increase the antitumor effect of ANA in newly diagnosed operable ER+ BC. Early results showed greater suppression of tumor Ki67 in patients treated with PIC+ANA versus ANA alone. Here, we present gene expression analysis from tumors collected pre- and post-treatment, and their associations with Ki67 outcomes. Methods: Postmenopausal women with newly diagnosed operable ER+/HER2-negative BC were randomly allocated (2:1, favoring the combination) to 2 weeks of preoperative treatment with ANA 1 mg once per day (n = 47) or the combination of ANA 1 mg with PIC 260 mg once per day (n = 89). The primary end point was inhibition of tumor cell proliferation measured by change in Ki67 protein expression via IHC between tumor samples taken pre- and post-treatment. Samples were analyzed by RNA-sequencing—ER pathway activity, PAM50 intrinsic subtypes, and pathway analyses were assessed by Ki67 outcomes. Elastic net regression analysis and transcription factor activity inference with Dorothea were performed to identify features strongly associated with Ki67 outcomes. Results: 124 patients (ANA, n=43; PIC+ANA, n=81) had paired tumor samples at baseline/week 2 that were evaluable for both Ki67 and RNA-seq. PIC+ANA showed improved suppression of Ki67 compared to ANA alone (-83.78% vs -73.85%, p=0.012) and a greater proportion of patients achieved complete cell cycle arrest (CCCA, as defined by Ki67< 2.7%) in the PIC+ANA arm (45.68% vs 36.59%). ER pathway activity suppression was comparable between treatments. PAM50 classification based on RNA-seq showed that 83.0% of tumors were luminal (Lum) A at baseline and 12.9% were LumB, with the remainder being classified as Normal-like. PIC+ANA showed greater suppression of Ki67 in LumB tumors compared to LumA (-92.29% vs -81.62%). This effect was much greater in the PIC+ANA arm compared to LumB tumors treated with ANA alone (-92.29% vs -37.87%); however, given the low number of LumB tumors in the ANA arm (n=3), we could not determine statistical significance. Bioinformatic analysis of RNA-seq from baseline specimens showed that MYBL2 activity was associated with resistance to ANA (as defined by Ki67≥7.5% at week2). Tumors in the top quartile of MYBL2 activity at baseline showed improved Ki67 outcomes in the PIC+ANA arm compared to ANA alone (-91.71% vs -51.44%), while no differences were observed between treatments for tumors with lower MYBL2 activity (-79.16% vs -76.72%). Single-nucleus (sn)-RNA-seq from untreated ER+ BC tumors showed that MYBL2 was enriched in a single cluster of tumor cells, which also had the highest expression of a subset of actionable targets (including CDK1, CDK2, CDK4, EZH2, and AKT1), as compared to other tumor cells. Expression data from DepMap and drug-sensitivity data from ER+ BC cell lines show a positive trend between high MYBL2 expression and sensitivity to the ER degrader, giredestrant. Conclusions: PIC exhibited greater antiproliferative effects in combination with ANA in ER+/HER2- early BC compared to ANA alone, particularly in LumB and MYBL2-high tumors. Furthermore, the transcriptional profile and in vitro response of tumor cells with high MYBL2 expression suggest potential sensitivity to other combination therapies. Citation Format: Alejandro Martinez Chibly, Alice Shia, Radia Johnson, Michael S. Hwang, Marc Hafner, Ciara Metcalfe, Kalpit Shah, Michal Slyper, Chris Bolen, Sarah E. Pinder, Alastair M. Thompson, Steven Gendreau, Peter Schmid. PD10-06 Clinical outcomes and exploratory gene expression analysis of OPPORTUNE: a phase II window-of-opportunity study to evaluate pictilisib+anastrozole versus anastrozole alone in ER-positive breast cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD10-06.

Abstract P2-23-16: Clinico-Pathological and Molecular Characterization of HER2-Enriched Breast Tumors Independently of HER2 Status

Abstract INTRODUCTION: Breast cancer (BC) is a highly prevalent and heterogeneous disease, entailing different so-called intrinsic subtypes (IS) according to gene expression, namely Luminal A, Luminal B, HER2-Enriched (HER2E) and Basal-like, as well as a normal breast-like group. The HER2E is still a poorly understood entity, which needs further biologic characterization to improve therapeutic management. MATERIAL AND METHODS: Patients (pts) treated at Hospital Clinic (Barcelona, Spain) over 18 years with a diagnosis of metastatic BC, with available matched primary and metastatic tumor samples for gene expression analyses were retrospectively recruited. Using the nCounter® Breast Cancer 360 panel, we studied the expression of 776 genes pertaining to different tumor and immune pathway-related signatures, with a focus on HER2E vs. non-HER2E tumors. Significant changes were considered at a false discovery rate (FDR) < 5%. Main clinicopathological features were also compared. IS changes from primary to metastatic disease were assessed. RESULTS: Ninety-one pts with paired tumor samples were included. Briefly, primary tumors were 67.0% hormone receptor-positive (HR+)/HER2-negative (HER2-), 14.8% were HER2-positive (HER2+) and 18.2% were triple-negative (TNBC). IS distribution in primary tumors was the following: 25 Luminal A (28%), 22 Luminal B (24%), 24 HER2E (26%), 12 Basal-like (13%), and 8 Normal-like (9%). In contrast, IS distribution in metastatic tumors was the following: 13 Luminal A (14%), 22 Luminal B (24%), 34 HER2-E (37%), 16 Basal-like (18%), and 6 Normal-like (7%). The HER2E disease proved to be a relatively stable subtype, with 16 (66.7%) tumors not changing IS in the transition to metastatic disease (p=0.078). Particularly, within HR+/HER2-, HER2+ and TNBC, 8/12 (66.7%), 8/10 (80.0%) and 1/2 (50.0%) tumors remained HER2E. Conversely, an overall significant switch from Luminal to non-Luminal tumors at the metastatic progression was observed (p=0.031), with 14/19 (73.7%) new non-Luminal BC being HER2E. When considering all primary and metastatic tumors, HER2E were observed to be less frequently estrogen receptor (ER) positive than non-HER2E tumors (55.8% vs. 78.7%; p=0.002), with lower mean progesterone receptor (PR) levels (15.3% vs. 25.8%; p=0.027). Compared to the other subtypes (as a group), the PAM50 risk of recurrence score (ROR-P) was higher for HER2E tumors (59.1 vs. 41.7; p < 0.001), which were also more frequently HER2+ (36.5% vs. 5.8%) and less likely HR+/HER2- (50.0% vs. 73.6%) and TNBC (13.5% vs. 20.7%), compared to non-HER2E (p < 0.001). No significant differences in grade, TILs, Ki67 and histotype were observed. Overall, 140/776 genes were significantly downregulated in HER2E vs. non-HER2E tumors, including genes related to cell adhesion, migration, DNA damage repair, apoptosis, estrogen signalling pathway, senescence. Conversely, 178/776 genes were significantly upregulated, including the tyrosine-kinase receptor FGFR4, genes involved in nuclear activity, DNA transcription regulation, MAP-kinase signaling pathways, proliferation, cytokine response, epithelial-to-mesenchymal transition (EMT), cell cycle progression, and immune-related genes such as CD274 (PD-L1 gene). DISCUSSION: A switch towards more aggressive IS from primary to advanced disease was observed, with an increase in HER2E prevalence. HER2E tumors, which tend to maintain their IS at the metastatic disease, showed upregulation of genes related to proliferation, survival and EMT, coherently with their well-known worse prognosis. FGFR4 and CD274 upregulation, along with downregulation of genes involved in DNA damage repair suggest these tumors might benefit from targeted therapeutic approaches. Genomic higher risk was not convoyed by consistent clinicopathological features, except for lower PR levels and HER2 overexpression at IHC. Further characterization according to primary/metastatic and HR status is ongoing. Intrinsic subtype distribution across primary and metastatic breast tumors Citation Format: Francisco Javier Muñoz-Carrillo, Laia Paré, Benedetta Conte, Adela Rodríguez, Patricia Galván, Esther Sanfeliu, Blanca González-Farré, Claudette Falato, Isabel Garcia-Fructuoso, Barbara Adamo, Nuria Chic, Olga Martínez-Sáez, Tomás Pascual, Reinaldo Moreno, Montserrat Muñoz, Fara Brasó-Maristany, Aleix Prat, Francesco Schettini, Maria Vidal. Clinico-Pathological and Molecular Characterization of HER2-Enriched Breast Tumors Independently of HER2 Status [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-23-16.

Abstract P2-23-08: Concordance of Targeted Sequencing from Circulating Tumor DNA and Paired Tumor Tissue

Abstract Purpose: In this study, we evaluated the concordance of targeted sequencing results between paired ctDNA and tumor samples from early breast cancers scheduled for curative surgery with or without adjuvant therapy. If high concordance was observed, pre-operative ctDNA testing could serve as a non-invasive surrogate for variants meant to be revealed after definite surgery. On the other hand, poor concordance may hamper wide clinical absorption of liquid biopsy early breast cancer. Materials and Methods: The study VGH-TAYLOR: Comprehensive precision medicine research on the heterogeneity of Taiwanese breast cancer patients, consisted of three years enrollment and approximately four years follow-up after enrollment. Individual subject was assigned into Group 1 [planned to received surgery as first-line treatment and followed by adjuvant therapy, Group 2 [planned to receive neoadjuvant therapy as the first-line treatment and followed by surgery], and Group 3 [diagnosed with de novo and treatment naïve stage IV breast cancer, or stage IV breast cancer with recurrence beyond three years after surgery]. Molecular profiling and potential biomarkers were determined using Oncomine Comprehensive Assay v3 from FFPE tissues and Oncomine Breast cfDNA Assay v2 from plasma. Oncomine Comprehensive Assay is a targeted sequencing of NGS experiments were performed with TMO comprehensive using FFPE tissues, included 161 cancer-releant genes and types of mutation detected such as frameshift, missense, synonymous, SNV, Indel, and CNV. Oncomine Breast cfDNA Assay detects breast-derived cfDNA including hotspot genes: AKT1, EGFR, ERBB2, ERBB3, ESR1, FBXW7, KRAS, PIK3CA, SF3B1, TP53 (~152 hotspots), CNVs: CCND1, ERBB2, FGFR1, and full length TP53 (~80% coverage). Common genes interrogated by both ctDNA and TMO assay were identified, and concordance between paired targeted sequencing results from the same individuals were reported. Results: We reported the mutational landscape of initial 612 patients interrogated with the Oncomine Breast cfDNA assay; 239 out of 612 patients reported at least one mutation (39%). Among 246 patients assayed for both ctDNA and tumor tissue, cfDNA assay detected 73 (29.6%) and TMO comprehensive assay detected 201 (81.7%) breast cancers with at least one variant (c2 test, p=0.001). Sixty-seven (25.6%) were tested positive for both liquid and tissue assays, while cfDNA and TMO comprehensive assay detected additional 10 (4%) and 138 (56%) cases, which were not identified by the other platform. Table 1 details the distributions of called variants among common targeted genes. Conclusion: In current study, we evaluated the concordance of called variants between targeted sequencing from ctDNA and tumor tissue among an early breast cancer cohort in Taiwan. Only one-quarter of patients were positive for both cfDNA and TMO comprehensive assays from the same subject, indicating assay-specific sensitivity inevitably resulting in diagnostic discrepancy. Another plausible explanation came from the early stage nature of interrogated patients, which may inherit fewer ctDNA spillage from tumor and compromise detectability from liquid biopsy. The most prevalent mutant genes from both platforms were TP53 (68.3%) and KRAS (53.5%), both were well-known drivers in cancers. From breast cancer actionability, PIK3CA (39.4%) mutation is a biomarker for the FDA-approved PI3Ka inhibitor such as alpelisib, AKT1 (45.9%) mutation for agents such as capivasertib (AZD5363) and ipatasertib, and ERBB2 mutation for tyrosine kinase inhibitor such as neratinib. Our study showed that tumor should be the preferred source for targeted sequencing, and additional 4% of variants wound be revealed from liquid biopsy. Table 1. Distributions of variants from common targeted genes (n=6) from cfDNA and TMO comprehensive assay. Citation Format: Chi-Cheng Huang, Ling-Ming Tseng. Concordance of Targeted Sequencing from Circulating Tumor DNA and Paired Tumor Tissue [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-23-08.

Abstract PD2-11: Human Cytomegalovirus Reactivation in Immunosuppressive Th2 Tumor Microenvironment Facilitates Brain Metastatic Outgrowth

Abstract Background Brain metastases is a fatal consequence of advanced breast cancer with a poor prognosis. Both tumor intrinsic molecular underpinning of the primary tumor and microenvironmental brain niche factors have been reported to allow invading cancer cells to colonize and outgrow into the brain. A systemic investigation of these tumor intrinsic and microenvironmental factors using same patient paired primary breast and brain metastatic tumor samples are warranted. Methods Nine pairs of primary breast and brain metastatic tumor samples were collected for RNA sequencing. Pairwise differential gene expression analysis and gene set enrichment analysis (GSEA) were conducted. TCGA-BRCA (n=1222) dataset and a combined breast cancer cohort (n=2,765) were used for clinical and immune-infiltration correlation analysis. GSE12276 (n=204) dataset was used for brain-metastasis free survival correlation. Immunohistochemistry staining of HCMV was conducted on a total of 16 primary breast and brain metastatic tumor sections including 2 pairs. Two patient-derived xenograft (PDX) models were used for antiviral treatment and mechanism investigation. Results 371 up-regulated and 2,153 down-regulated genes in the 9 paired brain metastatic tumors vs. breast tumors (P< 0.05; log2 FC>1 or ←1) were identified from the RNAseq data. Reactome Human cytomegalovirus (HCMV) early and late events was the top enriched pathway for the 371 brain metastasis up-regulated genes, and Reactome IL4 and IL5 signaling was the top enriched pathway for the 2,153 primary breast tumor up-regulated genes. Among the 371 brain metastasis up-regulated genes, 287 genes are also up-regulated in primary breast cancer vs. normal breast in the TCGA 1222 cohort (P< 0.05). High expression of 23 out of the 287 genes are significantly associated with shorter distant metastasis-free survival (DMFS) in a combined breast cancer cohort of 2,765 patients (Logrank P< 0.05), and 19 of the 23 genes are associated with poor brain metastasis-free survival (BMFS) in the GEO dataset GSE12276 (n=204)(Logrank P< 0.05). We further identified that elevated expression of 12 out of the 19 genes are consistently associated with Th2 cell activation and NK cell deactivation in the TCGA 1222 cohort, for which the immunosuppressive Th2 cells are defined by secretion of IL4 and IL5 signature cytokines. Immunoreactive HCMV immediate early proteins indicating virus infection were examined in all the 16 patient tumor tissues, and strong positive signals were seen in both the paired breast tumor and brain metastatic specimens. Preventive treatment of anti-HCMV drug ganciclovir by suppressing viral DNA replication inhibited tumor colonization in the mouse brain in the two HCMV-positive PDX models. Conclusions Our systemic analysis of paired primary breast and brain metastatic tumor tissues identified a causal relationship between HCMV infection and reactivation, immunosuppressive Th2 cell activation and NK cell deactivation, and brain metastatic outgrowth. Since HCMV reactivation frequently induce encephalopathy during chemotherapy or radiation therapy, anti-HCMV agents may represent an effective strategy in preventing and controlling brain metastases. Citation Format: Xin Wang, Akshjot Puri, Amna Irfan, Kun Han, Wei Qian, Liliana Guzman, Roberto Rosato, Hong Zhao, Jenny Chang, Stephen Wong. Human Cytomegalovirus Reactivation in Immunosuppressive Th2 Tumor Microenvironment Facilitates Brain Metastatic Outgrowth [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD2-11.

Lymph node metastasis‐dependent molecular classification in papillary thyroid carcinoma defines aggressive metastatic outgrowth

Lymph node metastasis‐dependent molecular classification in papillary thyroid carcinoma defines aggressive metastatic outgrowth

Increased CD4/CD8 Lymphocyte ratio predicts favourable neoadjuvant treatment response in gastric cancer: A prospective pilot study.

Despite optimal neoadjuvant chemotherapy only 40% of gastric cancer tumours achieve complete or partial treatment response. In the absence of treatment response, neoadjuvant chemotherapy in gastric cancer contributes to adverse events without additional survival benefit compared to adjuvant treatment or surgery alone. Additional strategies and methods are required to optimize the allocation of existing treatment regimens such as FLOT chemotherapy (5-Fluorouracil, Leucovorin, Oxaliplatin and Docetaxel). Predictive biomarkers detected using immunohistochemistry (IHC) methods may provide useful data regarding treatment response. To investigate the utility of CD4, CD8, Galectin-3 and E-cadherin in predicting neoadjuvant FLOT chemotherapy tumour response in gastric adenocarcinoma. Forty-three adult patients with gastric adenocarcinoma, of which 18 underwent neoadjuvant chemotherapy, were included in a prospective clinical cohort. Endoscopic biopsies were obtained from gastric cancer and normal adjacent gastric mucosa. Differences in expression of Galectin-3, E-cadherin, CD4+ and CD8+ molecules between tumours with and without treatment response to neoadjuvant chemotherapy were assessed with IHC. Treatment response was graded by clinical pathologists using the Tumour Regression Score according to the College of American Pathologists criteria. Treatment response was defined as complete or near complete tumour response, whereas partial or poor/no response was defined as incomplete. Digital IHC images were annotated and quantitatively assessed using QuPath 0.3.1. Biomarker expression between responsive and incomplete response tumours was assessed using a two-sided Wilcoxon test. Biomarker expression was also compared between normal and cancer tissue and between 15 paired tumour samples before and after chemotherapy. We performed a preliminary multivariate analysis and power analysis to guide future study. Statistical analyses were completed using R 4.1.2. The ratio between CD4+ and CD8+ lymphocytes was significantly greater in treatment responsive tumours (Wilcoxon, P = 0.03). In univariate models, CD4+/CD8+ ratio was the only biomarker that significantly predicted favourable treatment response (Accuracy 86%, P < 0.001). Using a glmnet multivariate model, high CD4+/CD8+ ratio and low Galectin-3 expression were the most influential variables in predicting a favourable treatment response. Analyses of paired samples found that FLOT chemotherapy also results in increased expression of CD4+ and CD8+ tumour infiltrating lymphocytes (Paired Wilcoxon, P = 0.002 and P = 0.008, respectively). Our power analysis suggests future study requires at least 35 patients in each treatment response group for CD8 and Galectin-3 molecules, whereas 80 patients in each treatment response group are required to assess CD4 and E-cadherin biomarkers. We demonstrate that an elevated CD4+/CD8+ Ratio is a promising IHC-based biomarker to predict favourable treatment response to FLOT neoadjuvant chemotherapy in locally advanced gastric cancer.

Phase I/II study of PexaVec in combination with immune checkpoint inhibition in refractory metastatic colorectal cancer

BackgroundOncolytic immunotherapy represents a unique therapeutic platform for the treatment of cancer. Here, we evaluated the safety and efficacy of the combination of pexastimogene devacirepvec (PexaVec) plus durvalumab (anti-programmed death...

Development of a Novel KCNN4-Related ceRNA Network and Prognostic Model for Renal Clear Cell Carcinoma.

Clear cell renal cell carcinoma (ccRCC) accounts for more than 80% of renal cell carcinomas. Yet, it has not been fully understood about the derivation and progression of the tumor, as well as the long-term benefits from multimodality therapy. Therefore, reliable and applicable molecular markers are urgently needed for the prediction of diagnosis and prognosis of ccRCC patients. Genetic and clinical information of 533 ccRCC patients from The Cancer Genome Atlas database was collected for comprehensive bioinformatic analyses. UALCAN was used to detect gene expression in paired tumor samples. Two data sets from Gene Expression Omnibus database were analyzed to identify differentially expressed genes (DEGs), and Gene Set Enrichment Analysis was applied for the functional enrichment of DEGs. Tumor Immune Single Cell Hub and Tumor IMmune Estimation Resource databases were separately used for analyses of single-immune cell and immune cell infiltration. Encyclopedia of RNA Interactomes database was explored to predict targeted microRNAs (miRNAs) and corresponding long non-coding RNAs (lncRNAs). Cox regression analysis was performed for the construction of risk signature and prognosis model. Finally, quantitative real-time polymerase chain reaction and western blot were conducted for KCNN4 expression detection in cell lines and clinical samples. Small interfering RNA was employed to knock down KCNN4, and corresponding functional experiments were conducted on ccRCC cells as well. KCNN4 showed elevated expression in tumors and prominent clinical correlation in ccRCC. In total, 41 KCNN4-related genes were enriched, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed they were intimately related to immune-related signaling pathways. Spearman's analysis revealed the significantly positive correlation of KCNN4 with immune cell infiltration. By integrating hub miRNA-let-7e-5p and four critical lncRNA, a competitive endogenous RNA network-based risk signature was constructed. The prognosis model derived from it showed considerable predictive value for survival of ccRCC patients. Finally, in vitro experiments confirmed the remarkable tumor-promoting role of KCNN4 in ccRCC cells. KCNN4 significantly affected the immune status of tumor microenvironment and immunotherapy elements, through which it promoted tumor progression in ccRCC, and it could be a potential biomarker for prognosis and immunotherapy effects of ccRCC patients.

γδ T cells are effectors of immunotherapy in cancers with HLA class I defects

DNA mismatch repair-deficient (MMR-d) cancers present an abundance of neoantigens that is thought to explain their exceptional responsiveness to immune checkpoint blockade (ICB)1,2. Here, in contrast to other cancer types3–5, we observed that 20 out of 21 (95%) MMR-d cancers with genomic inactivation of β2-microglobulin (encoded by B2M) retained responsiveness to ICB, suggesting the involvement of immune effector cells other than CD8+ T cells in this context. We next identified a strong association between B2M inactivation and increased infiltration by γδ T cells in MMR-d cancers. These γδ T cells mainly comprised the Vδ1 and Vδ3 subsets, and expressed high levels of PD-1, other activation markers, including cytotoxic molecules, and a broad repertoire of killer-cell immunoglobulin-like receptors. In vitro, PD-1+ γδ T cells that were isolated from MMR-d colon cancers exhibited enhanced reactivity to human leukocyte antigen (HLA)-class-I-negative MMR-d colon cancer cell lines and B2M-knockout patient-derived tumour organoids compared with antigen-presentation-proficient cells. By comparing paired tumour samples from patients with MMR-d colon cancer that were obtained before and after dual PD-1 and CTLA-4 blockade, we found that immune checkpoint blockade substantially increased the frequency of γδ T cells in B2M-deficient cancers. Taken together, these data indicate that γδ T cells contribute to the response to immune checkpoint blockade in patients with HLA-class-I-negative MMR-d colon cancers, and underline the potential of γδ T cells in cancer immunotherapy.

Artificial intelligence applied in neoantigen identification facilitates personalized cancer immunotherapy.

The field of cancer neoantigen investigation has developed swiftly in the past decade. Predicting novel and true neoantigens derived from large multi-omics data became difficult but critical challenges. The rise of Artificial Intelligence (AI) or Machine Learning (ML) in biomedicine application has brought benefits to strengthen the current computational pipeline for neoantigen prediction. ML algorithms offer powerful tools to recognize the multidimensional nature of the omics data and therefore extract the key neoantigen features enabling a successful discovery of new neoantigens. The present review aims to outline the significant technology progress of machine learning approaches, especially the newly deep learning tools and pipelines, that were recently applied in neoantigen prediction. In this review article, we summarize the current state-of-the-art tools developed to predict neoantigens. The standard workflow includes calling genetic variants in paired tumor and blood samples, and rating the binding affinity between mutated peptide, MHC (I and II) and T cell receptor (TCR), followed by characterizing the immunogenicity of tumor epitopes. More specifically, we highlight the outstanding feature extraction tools and multi-layer neural network architectures in typical ML models. It is noted that more integrated neoantigen-predicting pipelines are constructed with hybrid or combined ML algorithms instead of conventional machine learning models. In addition, the trends and challenges in further optimizing and integrating the existing pipelines are discussed.

The Neurogenome study: Comprehensive molecular profiling to optimize treatment for Danish glioblastoma patients

Abstract Background Glioblastoma is an aggressive brain cancer with no possibility for cure. Treatment and survival have only improved slightly since 2005 when the current regime was implemented. The limited improvements in the treatment of glioblastoma may reflect our poor understanding of the disease. We hypothesize that systematically collected translational data will improve knowledge and hereby treatment. Methods We have been performing whole exome sequencing in glioblastoma tumor tissue since 2016 and whole genome sequencing (WGS) since 2020 with the aim of offering experimental treatment. Results We have sequenced 400+ GBM patients and from these 100+ are paired tumor samples from relapse surgery. To develop genomic profiling and to increase the information on each patient´s contribution, we have initiated the Neurogenome study as of June 2022. The Neurogenome protocol is a national, comprehensive, translational, and omic protocol. It is a continuation of 2 previous protocols from 2016 and forth in our department, but with more substudies added, focusing on the translational and clinical utility. We collect and analyze data from an out-patient clinic in a systematic approach to a number of subprojects ranging from basic science to applied clinical science, including clinical trials. Conclusions The protocol will act as a backbone for future projects in the national research center, Danish Comprehensive Cancer Center—Brain Tumor Center with the overall aim to select eligible patients for experimental treatment based upon genomic alterations. The article will present the Neurogenome setup and a presentation of selected projects that are based upon inclusion.

HER2 amplification in colorectal cancer with brain metastasis: A propensity score matching study

BackgroundThe association between human epidermal growth factor receptor-2 (HER2) amplification and brain metastasis (BM) in patients having colorectal cancer (CRC) has been suggested but not yet established. This study investigated the expression patterns of HER2, its association with BM, and its prognostic value in patients having CRC. MethodsWe retrospectively identified 99 patients having metastatic CRC (mCRC) and BM (the BM cohort) and compared them with a cohort of 249 patients having mCRC and without BM (the stage IV cohort) by propensity score matching. Immunohistochemical studies of HER2 on all available paraffin-embedded tumour samples, either from the primary tumour, the metastasis (brain and/or extracranial sites) or both, were performed and analysed. HER2 fluorescent in situ hybridisation was applied when necessary. The expression of HER2 was compared and correlated with survival. ResultsHER2 amplifications were detected in 16 (18.4%) of 87 and 9 (3.6%) of 249 patients who had specimens available in the BM and stage IV cohorts, respectively (P < .001). After propensity score matching, HER2 amplification was significantly associated with BM (odds ratio: 5.38, P = .003). HER2 heterogeneity was frequently observed not only at the single tumour level but also in paired tumour samples. A marginally significant longer survival since BM was found in patients having HER2-amplified mCRC than in those without (P = .07). ConclusionsHER2 amplification was significantly associated with BM in patients having mCRC and might have prognostic value for survival since BM. Given the heterogeneity of HER2 expression, the testing of HER2 status on available tissues from both primary and metastatic tumours should be encouraged.

MitoSomatic: a tool for accurate identification of mitochondrial DNA somatic mutations without paired controls.

Mitochondrial DNA (mtDNA) somatic mutations play important roles in the initiation and progression of cancer. Although next-generation sequencing (NGS) of paired tumor and control samples has become a common practice to identify tumor-specific mtDNA mutations, the unique nature of mtDNA and NGS-associated sequencing bias could cause false-positive/-negative somatic mutation calling. Additionally, there are clinical scenarios where matched control tissues are unavailable for comparison. Therefore, a novel approach for accurately identifying somatic mtDNA variants is greatly needed, particularly in the absence of matched controls. In this study, the ground truth mtDNA variants orthogonally validated by triple-paired tumor, adjacent nontumor, and blood samples were used to develop mitoSomatic, a random forest-based machine learning tool. We demonstrated that mitoSomatic achieved area under the curve (AUC) values over 0.99 for identifying somatic mtDNA variants without paired control in three tumor types. In addition, mitoSomatic was also applicable in nontumor tissues such as adjacent nontumor and blood samples, suggesting the flexibility of mitoSomatic's classification capability. Furthermore, analysis of triple-paired samples identified a small group of variants with uncertain somatic/germline origin, whereas application of mitoSomatic significantly facilitated the prediction of their possible source. Finally, a control-free evaluation of the public pan-cancer NGS dataset with mitoSomatic revealed a substantial number of variants that were probably misclassified by conventional tumor-control comparison, further emphasizing the usefulness of mitoSomatic in application. Taken together, our study demonstrates that mitoSomatic is valuable for accurately identifying somatic mtDNA variants in mtDNA NGS data without paired controls, applicable for both tumor and nontumor tissues.

Immune infiltration could predict the efficacy of short-term radiotherapy in patients with cervical cancer.

Radiotherapyis the main treatment forcervical cancer. It is usually applied alone or in combination with surgery and/or chemotherapy. To explore the association between immune microenvironment of cervical cancer and radiotherapy response, we collected 20 paired cervical cancer tumor samples before and after radiotherapy and partial clinical information. With paired-end RNA-seq, we quantified the immune infiltration and tumor purity of these samples, and obtained 6350 differentially expressed genes before and after radiotherapy. With the help of R language, the function enrichment analysis and 22 immune cells infiltration analysis were carried out. Moreover, we built a random forest model based on the immune microenvironment to predict the short-term efficacy of radiotherapy. We found that the effect of radiotherapy on the immune microenvironment of stage III and IV cervical cancer patients was weaker than that of stage I and II cervical cancer patients. Radiotherapy can significantly reduce the tumor purity and increase immune infiltration. The proportions of the immune infiltrating cells are predictive of the radiotherapy efficacy. In addition, the local mucositis caused by radiotherapy can improve the curative effect of radiotherapy.

Identification of liquid biopsy-based mutations in colorectal cancer by targeted sequencing assays

Recently, liquid biopsy, as a promising approach was introduced for the analysis of different tumor-derived circulating markers including tumor DNA and cell free DNA (ct/cfDNA). Identification of mutations in cfDNA may allow the early detection of tumors, as well as predicting and monitoring treatment responses in a minimally invasive way. In the present study, we used commercially available gene panels to verify the mutation overlap between liquid biopsy and abnormalities detected in colorectal tumor tissue. The two panels (Archer®VariantPlex®Solid Tumor and LIQUIDPlexTM ctDNA) overlap in 23 genes, which enables a comprehensive view of tumor-plasma mutational status by next generation sequencing. We successfully analyzed 16 plasma and 16 tumor samples. We found that 87% of tumor tissues contained 44 mutations in 12 genes and 43.8% of cfDNA harbored 13 mutations in 5 genes. To verify whether the mutation pattern of the tumor DNA could be consistently detected in plasma cfDNA, we compared the alterations between cfDNA and matched tissue DNA in nine patients. Six of the 9 tumor tissues harbored mutations in TP53, KRAS or MET genes, those were not detectable by the ctDNA kit, even eventhough the exons of these genes overlap in both panels. Comparing the mutational patterns of the matched samples, we found that only one cfDNA had the same mutations (KRAS, SMAD4 and TP53) in the paired tissue. The results of the comparison between tumor tissue DNA and matched plasma cfDNA underline the importance of studying the paired solid tumor and plasma samples together.

Whole-Exome Sequencing Among Chinese Patients With Hereditary Diffuse Gastric Cancer

The E-cadherin gene, CDH1, and the α-E-catenin gene, CTNNA1, were previously identified as hereditary diffuse gastric cancer (HDGC) susceptibility genes, explaining 25% to 50% of HDGC cases. The genetic basis underlying disease susceptibility in the remaining 50% to 75% of patients with HDGC is still unknown. To assess the incidence rate of CDH1 germline alterations in HDGC, identify new susceptibility genes that can be used for screening of HDGC, and provide a genetic landscape for HDGC. This cohort study conducted retrospective whole-exome and targeted sequencing of 284 leukocyte samples and 186 paired tumor samples from Chinese patients with HDGC over a long follow-up period (median, 21.7 [range, 0.6-185.9] months). Among 10 431 patients diagnosed with gastric cancer between January 1, 2002, and August 31, 2018, 284 patients who met the criteria for HDGC were included. Data were analyzed from August 1 to 30, 2020. Incidence rate of CDH1 germline alterations, identification of new HDGC susceptibility genes, and genetic landscape of HDGC. Among 284 Chinese patients, 161 (56.7%) were female, and the median age was 35 (range, 20-75) years. The frequency of CDH1 germline alterations was 2.8%, whereas the frequency of CDH1 somatic alterations was 25.3%. The genes with the highest incidence (>10%) of private germline alterations (including insertions and deletions) in the HDGC cohort were MUC4, ABCA13, ZNF469, FCGBP, IGFN1, RNF213, and SSPO, whereas previously reported germline alterations of CTNNA1, BRCA2, STK11, PRSS1, ATM, MSR1, PALB2, BRCA1, and RAD51C were observed at low frequencies (median, 4 [range, 1-12] cases). Furthermore, enrichment of the somatic variant signature of exposure to aflatoxin suggested potential interaction between genetics and environment in HDGC. Double-hit events in genes such as CACNA1D were observed, which suggested that these events might serve as important mechanisms for HDGC tumorigenesis. In addition, germline variants of FSIP2, HSPG2, and NCKAP5 and somatic alterations of FGFR3, ASPSCR1, CIC, DGCR8, and LZTR1 were associated with poor overall survival among patients with HDGC. This study provided a genetic landscape for HDGC. The study's findings challenged the previously reported high germline alteration rate of CDH1 in HDGC and identified new potential susceptibility genes. Analyses of variant signatures and double-hit events revealed potentially important mechanisms for HDGC tumorigenesis. Findings from the present study may provide helpful information for further investigations of HDGC.

A Transcriptomic-Based Tool to Predict Gemcitabine Sensitivity in Advanced Pancreatic Adenocarcinoma

A Transcriptomic-Based Tool to Predict Gemcitabine Sensitivity in Advanced Pancreatic Adenocarcinoma

Postoperative circulating tumor DNA detection is associated with the risk of recurrence in patients resected for a stage II colorectal cancer.

Circulating tumor DNA (ctDNA) is reported to be promising in localized colorectal cancer (CRC). The present study aimed to retrospectively evaluate the impact of ctDNA in patients with a resected stage II CRC from the PROGIGE 13 trial with available paired tumor and blood samples. A group of recurrent patients were matched one-to-one with nonrecurrent patients according to sex, tumor location, treatment sequence, and blood collection timing. CtDNA was analyzed by digital PCR according to NGS of tumors. Disease-free survival (DFS) and overall survival (OS) were analyzed based on ctDNA, and the risks of recurrence and death were determined. A total of 134 patients were included, with 67 patients in each group. At least one alteration was identified in 115/134 tumors. Postoperative ctDNA was detected in 10/111 (9.0%) informative samples and was detected more frequently in the recurrent group (16.7% versus 1.8%; p = 0.02). The median DFS of ctDNA+ versus ctDNA- patients was 16.8 versus 54 months (p = 0.002), respectively, and the median OS was 51.3 versus 69.5 months (p = 0.03), respectively. CtDNA was associated with recurrence (ORa = 11.13, p = 0.03) and death (HRa = 3.15, p = 0.01). In conclusion, the presence of postoperative ctDNA is associated with both recurrence and survival in stage II CRC.