HER2 alterations and prognostic implications in all subtypes of breast cancer

1041

Background: Amplification or overexpression of human epidermal growth factor receptor 2 (HER2) oncogene is present in about 15-20% of breast cancers & is a prognostic & predictive biomarker. Additional ERBB2/HER2 alterations have become apparent on tumor next generation sequencing (NGS), including activating kinase domain mutations & fusions. Methods: DNA NGS (592 gene panel or whole exome) data from 12,153 breast samples retrospectively reviewed for ERBB2 alterations with RNA whole-transcriptome sequencing (WTS) data available for 7289 (60%) samples. Gene fusions detected using the ArcherDx fusion assay or WTS. Clinicopathologic features were described including breast cancer subtype, age, & biopsy site. HER2 status determined according to 2018 ASCO-CAP guideline. Overall survival obtained from insurance claims & Kaplan-Meier estimates were calculated for defined patient (pt) cohorts. Statistical significance was determined using Chi-square & Wilcoxon rank sum tests. Results: ERBB2 mutations ( ERBB2mts) were identified in 3.2% (n = 388) of tumors overall & most common in liver metastases (113/1972, 5.7%). ERBB2mts were found more in breast lobular tumors compared to ductal tumors (10 vs 2.1%, p < 0.001). HER2+ tumors had higher frequency of ERBB2mts compared to HER2- (4.3 vs 3%, p = 0.028). Tumors with score of 0 by immunohistochemistry demonstrated lower rate of ERBB2mts (0+ 2.2%, 1+ 3.5%, 2+ 4.5%, 3+ 3.45%, p < 0.05). Among HER2- tumors, ERBB2mts were present in 3.6% of hormone receptor (HR)+/HER2- & 1.9% of TNBC. Metastatic tumors had a higher rate of ERBB2mts compared to locoregional breast tumors (3.8 vs 2%, p < 0.001), with increased rates of activating mutations S310F (0.1 vs 0.0%, p < 0.05) & D769H (0.3 vs 0.1%, p < 0.05), & the resistance mutation L755S (1.2 vs 0.6%, p < 0.01). Compared to ERBB2-WT, ERRB2mts were associated with decreased ERBB2 transcripts levels in HER2+ samples (222 vs 441 transcripts per million [TPM], p < 0.001) & increased levels in HER2- samples (73 vs 35 TPM, p < 0.001). High tumor mutational burden (≥ 10 mut/Mb) & ERBB3 mutations were more common in ERBB2mts compared to ERRB2-WT (16.7 vs 7.7%, p < 0.001; 10.6 vs 0.8%, p < 0.001). ERBB2 fusions were rare (0.49%) with 97% occurring in HER2+ tumors. Of 8358 pts with outcome data, prognosis (HR 1.2, P = 0.06) & response to chemotherapy (HR 1.1, P = 0.42) was similar between pts with HER2- ERBB2mt & ERBB2-WT. Conclusions: ERBB2mts & fusions were observed in all breast cancer subtypes - more commonly in HER2+, metastatic, & lobular histology tumors - & did not influence prognosis. These alterations may reflect response to treatment pressures in HER2+ disease to reactivate HER2-mediated growth pathways following anti-HER2 therapy & may represent a targetable upregulated oncogenic pathway in HER2- disease. Ongoing identification of ERBB2 alterations may augment treatment options for breast cancer pts & clinical outcomes from this approach are under investigation.

Association of interleukin-enhanced factor 2 (ILF2) expression with prognosis and clinico-genomic features in breast cancer (BC)

1030

Background: Novel prognostic and predictive biomarkers beyond traditional histological subtypes are needed to better inform outcomes and enhance therapy guidance in breast cancer (BC). We have previously reported that ILF2 was overexpressed in TNBC cell lines and has a functional role in DNA and RNA metabolism, making it a promising biomarker for risk assessment and treatment decisions. Herein, we aim to leverage a large clinico-genomic dataset to further characterize ILF2 in BC patients (pts). Methods: A total of 9456 BC tissue samples underwent molecular profiling at Caris Life Sciences (Phoenix, AZ). Analyses included next generation sequencing of DNA (592 Gene Panel, or Whole Exome Sequencing), and RNA (Whole Transcriptome Sequencing), and immunohistochemistry (IHC). Wilcoxon and Fisher’s exact were used to determine statistical significance. Overall survival (OS) was obtained from insurance claims and Kaplan-Meier estimates were calculated. Spearman correlation was used to identify highly correlated genes (ρ>0.6) with ILF2 and significant genes that were subsequently analyzed via pathway analysis using STRING. Results: BC pts were grouped into ILF2-High (H, top quartile) and ILF2-Low (L, bottom quartile) based on mRNA expression (TPM). ILF2-H pts were significantly younger (73 vs 80% for pts >50), enriched in ductal histology (90.9 vs 77.7%), TNBC subtype (48.9 vs 18.9%), and had a higher CNS metastases rate (4.3 vs 1.4%) compared to ILF2-L pts (all q<0.0001). ILF2 overexpression was associated with significantly inferior OS in all BC pts (HR 3.38, 95%CI: 2.97 – 3.84); when stratified into known BC hormonal receptor (HR) subtypes, ILF2 was prognostic in both HR+ BC (HR 1.7, 95 CI: 1.34-2.19) and TNBC (HR 3.8, 95 CI: 3.1-4.7), all p<0.0001. In TNBC (n=2468), ILF2-H was associated with a higher frequency of TP53 mutations(mt), lower rate of PIK3CA mt and higher amplification of CCNE1 and FGF23; in HR+/HER2- BC (n = 5071), an association with a higher rate of TP53 mt, PD-L1 expression, NOTCH2 and CCND2 amplification was seen (Table). No significant molecular correlation with ILF2 was seen in HR-/HER2+ BC (n=682). In TNBC, ILF2 expression was significantly correlated with genes involved in spliceosome, cell cycle and RNA transport pathways. In HR+/HER2- BC, ILF2-correlated genes were significantly enriched in mismatch repair and DNA replication pathways (p<0.05 for all factors individually). Conclusions: High expression of ILF2 is associated with a poorer prognosis independent of subtype in BC and our study warrants further investigation on ILF2 as a diagnostic and therapeutic target.[Table: see text]

Pan-cancer association between increased iron utilization and poor prognosis highlights potential of transferrin receptor-targeting therapies in multiple tumor types

3120

Background: The cell-surface transferrin receptor TFR1 imports iron-bound transferrin into cells via clathrin-mediated endocytosis. Tumors require constitutive iron import to drive proliferation, and several studies establish TFR1 as a target able to facilitate intracellular delivery of cytotoxic therapeutic molecules. Our own work previously revealed association between high expression of TFRC, the gene encoding TFR1, and high risk for poor outcome in diffuse large B-cell lymphoma (DLBCL). We showed therapetuic targeting of TFR1 in DLBCL results in significant anti-tumor benefit. Systematic analysis of TFRC expression as a prognostic marker across tumor types, however, has not been investigated. Methods: Tissue samples underwent comprehensive molecular profiling at Caris Life Sciences. Analyses included next generation sequencing of DNA (592 Gene Panel, NextSeq, or whole exome sequencing, NovaSeq), RNA (NovaSeq, whole transcriptome sequencing, WTS) and immunohistochemistry. Overall survival (OS) was calculated from date of tissue collection to last contact from insurance claims data and employed Kaplan-Meier analysis by Wilcoxon statistics, with p < 0.05 defined as significant. Results: Amongst 47 cancer types included, colorectal cancer (CRC) displayed the highest level of TFRC mRNA, followed by gastric cancer. In an all-tumor cohort (n = 93248), patients with higher TFRC expression (cutoff = median) had significantly worse OS (HR = 1.348, 95% CI [1.317-1.38], p < 0.00001). This was statistically significant in 23 individual tumor types. Drilling down further, TFRC adverse prognostic value was mainly driven by cohorts with larger number of samples in the database, including non-small cell lung cancer (n = 17309), CRC (n = 12860), breast cancer (n = 8632), ovarian carcinoma (n = 7998), uterine neoplasms (n = 6097), prostate adenocarcinoma (n = 3411), glioblastoma (n = 2821), gastric cancer (n = 1579), and others. Surprisingly, TFRC overexpression correlated with improved outcome in vulvar squamous cell carcinoma (VSCC, n = 297). TFRC was found to be most prognostic in prostate adenocarcinoma with median OS 1139 days in pts with high vs 3230 days in pts with low TFRC (HR = 2.556, 95% CI [2.213-2.951], p < 0.00001). Conclusions: Our study is the first to combine modern molecular profiling with a large cohort of clinical tissue samples to reveal a prognostic role for TFRC expression in a variety of solid tumor types. We found TFRC overexpression to be prognostic in a large proportion of histologies, though surprisingly association with improved OS in VSCC. Highest expression occured in CRC and gastric cancer, diseases with needs for new therapies. A number of TFR1-targeting therapeutics are currently at various stages of development, and warrant further investigation in disease cohorts identified from our study.

Immune profiling of metastatic uveal melanoma and response to immune checkpoint inhibitors

9565

Background: Response to immune checkpoint inhibitors (ICI) in uveal melanoma (UM) is low. We aimed to elucidate tumor markers correlated with improved survival in ICI treated UM patients. Methods: Tumor samples of UM patients were tested at Caris Life Sciences (Phoenix, AZ) with NextGen Sequencing on DNA (592 genes assay or whole exome sequencing) and RNA (whole transcriptome sequencing). Somatic mutations were totaled to calculate tumor mutational burden (TMB) and cutoff for high vs low was 10 mt/MB. PDL1 was tested with immunohistochemistry for tumor staining and cutoff was ≥2+, 5% for high vs low. NCOA2 gene amplification was considered a surrogate for gain of chromosome 8q (cutoff ≥6). Median RNA expression level for LAG3 was calculated for each cohort and used as cutoff for high vs low. All ICI treated patients were considered to have metastatic disease. Real-world overall survival (rwOS) was obtained from insurance claims data and calculated from tissue collection to last contact. Time on treatment (TOT) was calculated from start to finish of ICI treatment and was considered as surrogate for progression-free survival (PFS). Comparison of survival was performed by Kaplan-Meier analysis. Results: A total of 450 UM samples were analyzed. Of these, 108 were from ICI treated patients and were obtained from primary (10/108) or metastatic (98/108) sites. Most tumors were PDL1 low in the entire UM (86%, 240/279) and ICI treated (62%, 55/89) cohorts. There was no difference in TOT between PDL1 high vs low in ICI treated cohort (HR 1.46, 95% CI 0.82-2.6, median TOT 3.1 months vs 2.3 months). Similarly, 98% (257/263) of all UM samples had low TMB. ICI treated patients with high LAG3 expression had similar TOT compared to low (HR 1.3, 95% CI 0.59-2.9, median TOT 6 months vs 2 months). In the entire UM cohort, most tumors were NF1-wildtype (95%, 56/59). NF1-wildtype status was associated with a longer rwOS compared to NF1-mutated (HR 0.18, 95% CI 0.051-0.64, median rwOS of 20.8 months vs 7 months). NCOA2 amplification was associated with a worse rwOS as compared to patients without NCOA2 amplification in the entire UM (HR 0.68, 95% CI 0.50-0.91) but not in ICI treated cohort (HR 0.84, 95% CI 0.52-1.4). There was no difference in TOT in ICI treated patients by BAP1 and SF3B1 mutational status. Conclusions: UM lacks traditional markers of response to ICI. Short TOT seen in our study is consistent with PFS of 3 to 5.5 months seen in clinical trials. High LAG3 expression was associated with a clinically significant improvement in TOT. Traditional markers of poor prognosis were not implicated in survival differences in ICI treated patients. This likely represents a poor prognosis in all mUM patients regardless of traditional prognostic markers. NF1 mutation is uncommon in UM and its significance as a prognostic marker should be validated in a larger cohort. Ongoing research is needed to understand the biology of UM and approach to treatment.

Urine Cell-Free MicroRNAs in Localized Prostate Cancer Patients

Prostate cancer (PCa) is the most common cancer in men. Prostate-specific antigen screening is recommended for the detection of PCa. However, its specificity is limited. Thus, there is a need to find more reliable biomarkers that allow non-invasive screening for early-stage PCa. This study aims to explore urine microRNAs (miRs) as diagnostic biomarkers for PCa. We assessed cell-free miR (cfmiR) profiles of urine and plasma samples from pre- and post-operative PCa patients (n = 11) and normal healthy donors (16 urine and 24 plasma) using HTG EdgeSeq miRNA Whole Transcriptome Assay based on next-generation sequencing. Furthermore, tumor-related miRs were detected in formalin-fixed paraffin-embedded tumor tissues obtained from patients with localized PCa. Specific cfmiRs signatures were found in urine samples of localized PCa patients using differential expression analysis. Forty-two cfmiRs that were detected were common to urine, plasma, and tumor samples. These urine cfmiRs may have potential utility in diagnosing early-stage PCa and complementing or improving currently available PCa screening assays. Future studies may validate the findings.

Genomic Correlates of Outcome in Tumor-Infiltrating Lymphocyte Therapy for Metastatic Melanoma

PURPOSE

Adoptive cell therapy (ACT) of tumor-infiltrating lymphocytes (TIL) historically yields a 40%-50% response rate in metastatic melanoma. However, the determinants of outcome are largely unknown.

EXPERIMENTAL DESIGN

We investigated tumor-based genomic correlates of overall survival (OS), progression-free survival (PFS), and response to therapy by interrogating tumor samples initially collected to generate TIL infusion products.

RESULTS

Whole-exome sequencing (WES) data from 64 samples indicated a positive correlation between neoantigen load and OS, but not PFS or response to therapy. RNA sequencing analysis of 34 samples showed that expression of PDE1C, RTKN2, and NGFR was enriched in responders who had improved PFS and OS. In contrast, the expression of ELFN1 was enriched in patients with unfavorable response, poor PFS and OS, whereas enhanced methylation of ELFN1 was observed in patients with favorable outcomes. Expression of ELFN1, NGFR, and PDE1C was mainly found in cancer-associated fibroblasts and endothelial cells in tumor tissues across different cancer types in publicly available single-cell RNA sequencing datasets, suggesting a role for elements of the tumor microenvironment in defining the outcome of TIL therapy.

CONCLUSIONS

Our findings suggest that transcriptional features of melanomas correlate with outcomes after TIL therapy and may provide candidates to guide patient selection.

Multiple early factors anticipate post-acute COVID-19 sequelae

Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific auto-antibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes, exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time, leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.

Interleukin enhancer-binding factor 2 promotes cell proliferation and DNA damage response in metastatic melanoma

BACKGROUND

1q21.3 amplification, which is frequently observed in metastatic melanoma, is associated with cancer progression. Interleukin enhancer-binding factor 2 (ILF2) is located in the 1q21.3 amplified region, but its functional role or contribution to tumour aggressiveness in cutaneous melanoma is unknown.

METHODS

In silico analyses were performed using the TCGA SKCM dataset with clinical annotations and three melanoma microarray cohorts from the GEO datasets. RNA in situ hybridisation and immunohistochemistry were utilised to validate the gene expression in melanoma tissues. Four stable melanoma cell lines were established for in vitro ILF2 functional characterisation.

RESULTS

Our results showed that the ILF2 copy number variation (CNV) is positively correlated with ILF2 mRNA expression (r = 0.68, p < .0001). Additionally, ILF2 expression is significantly increased with melanoma progression (p < .0001), and significantly associated with poor overall survival for metastatic melanoma patients (p = .026). The overexpression of ILF2 (ILF2-OV) promotes proliferation in metastatic melanoma cells, whereas ILF2 knockdown decreases proliferation by blocking the cell cycle. Mechanistically, we demonstrated the interaction between ILF2 and the splicing factor U2AF2, whose knockdown reverses the proliferation effects mediated by ILF2-OV. Stage IIIB-C melanoma patients with high ILF2-U2AF2 expression showed significantly shorter overall survival (p = .024). Enhanced ILF2/U2AF2 expression promotes a more efficient DNA-damage repair by increasing RAD50 and ATM mRNA expression. Paradoxically, metastatic melanoma cells with ILF2-OV were more sensitive to ATM inhibitors.

CONCLUSION

Our study uncovered that ILF2 amplification of the 1q21.3 chromosome is associated with melanoma progression and triggers a functional downstream pathway in metastatic melanoma promoting drug resistance.

Enhanced B7-H4 expression in gliomas with low PD-L1 expression identifies super-cold tumors

Background

Characterizing expression profiles of different immune checkpoint molecules are promising for personalized checkpoint inhibitory immunotherapy. Gliomas have been shown as potential targets for immune checkpoint inhibitors recently. Our study was performed to determine coexpression levels of two major B7 immune regulatory molecules programmed death ligand 1 (PD-L1) and B7-H4, both of which have been demonstrated to inhibit antitumor host immunity in gliomas.

Methods

We assessed tumor tissues from stage II–IV primary gliomas (n=505) by immunohistochemistry (IHC) for protein levels of both PD-L1 and B7-H4. Gene coexpression analysis assessing clusters based on extent of PD-L1/B7-H4 classifier genes expression were investigated in two transcriptome datasets (The Cancer Genome Atlas and Chinese Glioma Genome Atlas). In addition, levels of immune cell infiltrates were estimated with IHC and RNA-seq data for assessing the tumor immune microenvironment of PD-L1/B7-H4 subgroups.

Results

High expression of PD-L1 and B7-H4 in gliomas was 23% and 20%, respectively, whereas coexpression of two proteins at high levels was limited to 2% of the cases. Comparable results were seen in RNA-seq datasets where PD-L1 mRNA expression levels negatively correlated with that of B7-H4. Gene coexpression modules clustered within each grade of gliomas demonstrated lack of double-high modules (cluster with high expression of both PD-L1 and B7-H4 classifier genes). B7-H4 mRNA expression levels showed negative correlation with extent of immune cell infiltration and High-B7-H4 module gliomas (high B7-H4 but low PD-L1 classifier genes expression) had less tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs). IHC assessment also showed few TILs and TAMs in High-B7-H4 subgroup gliomas.

Conclusions

The majority of gliomas express PD-L1 or B7-H4, however, coexpression of both at high levels is minimal. The high-B7-H4 patients could be considered as ‘super-cold’ gliomas with significantly deficient in TILs, suggesting that B7-H4 might inhibit T-cell trafficking into the central nervous system. This study demonstrated that PD-L1 and B7-H4 may serve as mutually compensatory immune checkpoint molecules in gliomas for immune targeted or active-specific immunotherapy. The distinct B7-H4 pathways modulating T-cell function and immune evasion in glioma patients deserved to be further explored in the future during immunotherapy.

Vitamin D deficiency exacerbates UV/endorphin and opioid addiction

The current opioid epidemic warrants a better understanding of genetic and environmental factors that contribute to opioid addiction. Here we report an increased prevalence of vitamin D (VitD) deficiency in patients diagnosed with opioid use disorder and an inverse and dose-dependent association of VitD levels with self-reported opioid use. We used multiple pharmacologic approaches and genetic mouse models and found that deficiencies in VitD signaling amplify exogenous opioid responses that are normalized upon restoration of VitD signaling. Similarly, physiologic endogenous opioid analgesia and reward responses triggered by ultraviolet (UV) radiation are repressed by VitD signaling, suggesting that a feedback loop exists whereby VitD deficiency produces increased UV/endorphin-seeking behavior until VitD levels are restored by cutaneous VitD synthesis. This feedback may carry the evolutionary advantage of maximizing VitD synthesis. However, unlike UV exposure, exogenous opioid use is not followed by VitD synthesis (and its opioid suppressive effects), contributing to maladaptive addictive behavior.

Diagnostic ability of four cell-free miRNA signatures pre- and post-nephrectomy concordantly found in the tumor and blood from patients with renal cell carcinoma

e16577

Background: Renal cell carcinoma (RCC) has shown an increase in incidence based on continued incidental finding of these tumors by imaging. There is a need for reliable biomarkers like MicroRNAs (miRNA) that are released by the tumor cells and can be detected in assays using blood or urine samples. The first aim of the present pilot study is to determine the diagnostic ability of cell-free miRNA (cfmiR) biomarkers released by RCC tumor cells in urine and plasma samples. The secondary aim was to determine cfmiRs utility in monitoring RCC before and after radical or partial nephrectomy. Methods: We profiled tumor tissues (n = 11), pre-operative (pre-P n = 18; pre-U n = 17) and post-operative (post-P n = 18; post-U n = 17) plasma and urine paired samples from 18 RCC patients with a median follow-up of 18.4 months. As a control, we utilized plasma (n = 73) and urine (n = 16) samples taken from normal healthy donors (NHD). All specimens (n = 170) were processed and analyzed using HTG EdgeSeq miRNA whole transcriptome assay. All of the samples were normalized and DESeq2. Only miRNAs with a FC < -1.5 or > 1.5, FDR < 0.05, normalized counts > 30 were considered Results: We assessed urine, plasma, and tissue for 2083 miRNAs. The pre-U profiles from patients with RCC and NHD were compared to find differentially expressed (DE) cfmiRs. We found 182 cfmiRs DE in pre-U RCC, of which 106 were upregulated and 76 were downregulated. Similarly, we found 830 cfmiRs DE in the pre-P from RCC compared to NHD, of which 192 were upregulated and 638 were downregulated. We then searched for the top 100 miRNAs most frequently detected and identified in the tumor and in pre-P and pre-U samples. Forty miRNAs were consistently found and highly detected in all of the specimens. Of those 40 miRNAs, 33 cfmiRs were found DE in pre-P and 9 cfmiRs significantly decreased in post-P samples after surgery to the level values observed in the plasma from NHD. In the pre-P and pre-U samples from RCC patients, let-7a-5p, let-7b-5p, miR-23b-3p, and miR-30d-5p were found to be consistently upregulated compared to their respective controls. By using receiving operating characteristic (ROC) curves we assessed the area under the curve (AUC) of all the four cfmiRs in detecting RCC patients. The values of AUC for the four cfmiRs detected in pre-P ranged from 76.2-81% [sensitivity, 61.1-83.3%; specificity, 74-86.3%] and in pre-U samples ranged from 76.1-82.4% [sensitivity, 64.7-70.6%; specificity, 100%]. We observed that the four cfmiRs significantly decreased in the post-U samples from RCC patients after surgery to the level values observed in urine from NHD. Conclusions: Our results propose a four cfmiR signature as a potential diagnostic/monitoring urine biomarker that is also detectable in the plasma and tumor tissues from RRC. Further studies to validate these cfmiRNAs as biomarkers for RCC in blood and urine are ongoing.

Molecular characterization of the Ras-MAPK pathway in metastatic breast cancer

1034

Background: The Ras-MAPK pathway is a known driver of tumorigenesis and therapeutic target in a variety of cancers. Alterations in this pathway have been linked to decreased tumor immunogenicity. However, molecular alterations in the Ras-MAPK are rare in breast cancer (BC) and their clinical implications remain unclear. As mutational status does not accurately correlate with transcriptional activity, a MAPK pathway activity score (MPAS, Wagle et al., 2018, npj Precision Medicine) is indicative of MAPK activation and correlates with response to MEK (MEKi) or BRAF inhibition (BRAFi). Our goal was to determine the frequency of molecular alterations in the Ras-MAPK and correlate to MAPK pathway activation in MBC. Methods: A total of 6464 BC samples underwent comprehensive molecular profiling at Caris Life Sciences. Analyses included next generation sequencing of DNA (592 Gene Panel, NextSeq; whole exome sequencing, NovaSEQ), RNA (NovaSeq, whole transcriptome sequencing, WTS) and IHC. MPAS and immune cell fraction (ICF, Quantiseq) were assessed by mRNA analysis. Wilcoxon, Fisher’s exact, or Dunnett’s test was used. All results shown were statistically significant (p < 0.05). Results: The predominant alteration of RAS genes was mutation followed by amplification, no fusions were detected (Table). Only 0.17% of all tumors harbor KRAS G12c mutations. The highest MPAS scores were found in KRAS mutants (mut), HRAS mut (Q61, G1213), BRAF V600 (class 1) mut and NRAS Q61 mut (Table) and therefore used to define Genomic MAPK Activated Tumors (GMAT). GMAT compared to wild type (WT) had significantly higher PD-L1 expression, TMB and MSI/dMMR. GMAT had less B cells (3.4% vs 4.4%), more M1 Macrophages (4.4% vs 3.4%) and neutrophils (5.5% vs 2.7%) regardless of HR status but less NK cells (2.3% s 3.0%), MSDCs (0.9% vs 3.0%) only in HR- tumors with respect to WT. GMAT tumors showed more frequent mutation rate (mr) of PIK3CA (HR+: 57.3% vs 40%; HR-: 41.9% vs 17.9%). HR+ tumors had a higher mr of MSH3 (11.8% vs 0.6%) while HR- tumors had higher mr of PIK3R1 (9.6% vs 3.8%), RhoA (5.3% vs 0.5%), DNA repair genes (TERT, 18.2% vs 1.0%; ARID1A, 18.2% vs 5.9%; PRKDC, 3.9% vs 0) and lower TP53 mr (54.5% vs 85.8%) compared to WT. Conclusions: Our study demonstrates that RAS, BRAF and MEK1 mutations are associated with MAPK pathway activation indicative of benefit from MEKi or BRAFi. GMAT warrant further investigation for combinations targeting the RAS-MAPK pathway and immune checkpoint inhibitors.[Table: see text]

Current status of gastrointestinal tract cancer brain metastasis and the use of blood-based cancer biomarker biopsy

Brain metastasis (BM) frequently occurs in patients with cutaneous melanoma, lung, and breast cancer; although, BM rarely arises from cancers of the gastrointestinal tract (GIT). The reported incidence of GIT cancer BM is less than 4%. In the last few years, effective systemic therapy has prolonged the survival of GIT patients and consequently, the incidence of developing BM is rising. Therefore, the epidemiology and biology of BM arising from GIT cancer requires a more comprehensive understanding. In spite of the development of new therapeutic agents for patients with metastatic GIT cancers, survival for patients with BM still remains poor, with a median survival after diagnosis of less than 4 months. Limited evidence suggests that early detection of isolated intra-cranial lesions will enable surgical resection plus systemic and/or radiation therapy, which may lead to an increase in overall survival. Novel diagnostic methods such as blood-based biomarker biopsies may play a crucial role in the early detection of BM. Circulating tumor cells and circulating cell-free nucleic acids are known to serve as blood biomarkers for early detection and treatment response monitoring of multiple cancers. Blood biopsy may improve early diagnosis and treatment monitoring of GIT cancers BM, thus prolonging patients' survivals.

Regulation of MRE11A by UBQLN4 leads to cisplatin resistance in patients with esophageal squamous cell carcinoma

Resistance to standard cisplatin‐based chemotherapies leads to worse survival outcomes for patients with esophageal squamous cell carcinoma (ESCC). Therefore, there is an urgent need to understand the aberrant mechanisms driving resistance in ESCC tumors. We hypothesized that ubiquilin‐4 (UBQLN4), a protein that targets ubiquitinated proteins to the proteasome, regulates the expression of Meiotic Recombination 11 Homolog A (MRE11A), a critical component of the MRN complex and DNA damage repair pathways. Initially, immunohistochemistry analysis was conducted in specimens from patients with ESCC (n = 120). In endoscopic core ESCC biopsies taken from 61 patients who underwent neoadjuvant chemotherapy (NAC) (5‐fluorouracil and cisplatin), low MRE11A and high UBQLN4 protein levels were associated with reduced pathological response to NAC (P < 0.001 and P < 0.001, respectively). Multivariable analysis of surgically resected ESCC tissues from 59 patients revealed low MRE11A and high UBLQN4 expression as independent factors that can predict shorter overall survival [P = 0.01, hazard ratio (HR) = 5.11, 95% confidence interval (CI), 1.45–18.03; P = 0.02, HR = 3.74, 95% CI, 1.19–11.76, respectively]. Suppression of MRE11A expression was associated with cisplatin resistance in ESCC cell lines. Additionally, MRE11A was found to be ubiquitinated after cisplatin treatment. We observed an amplification of UBQLN4 gene copy numbers and an increase in UBQLN4 protein levels in ESCC tissues. Binding of UBQLN4 to ubiquitinated‐MRE11A increased MRE11A degradation, thereby regulating MRE11A protein levels following DNA damage and promoting cisplatin resistance. In summary, MRE11A and UBQLN4 protein levels can serve as predictors for NAC response and as prognostic markers in ESCC patients.

Assessment of Cell-Free microRNA by NGS Whole-Transcriptome Analysis in Cutaneous Melanoma Patients' Blood

MicroRNAs (miRs) are small RNA molecules (18-22 nucleotides) that regulate the transcriptome at a post-transcriptional level by affecting the expression of specific genes. This regulatory mechanism is critical to maintain cell homeostasis and specific functions. Aberrant expression of miRs have been associated with pathobiological processes including cancer. There are few technologies available that are able to profile whole-genome miR expression using minimal amounts of blood samples and without the need for time-consuming extraction steps. Here, we describe the HTG EdgeSeq miR Whole-Transcriptome Assay (WTA) in serum and plasma samples. To identify specific cell-free miR (cfmiR) patterns we have first focused on the analysis of normal donor samples and have then compared these to patients with cutaneous melanoma. The identification of specific cfmiR for melanoma patients will allow for better patient surveillance during targeted and/or checkpoint inhibitor immunotherapy (CII) treatment.

Genetic Variants in Immune Related Genes as Predictors of Responsiveness to BCG Immunotherapy in Metastatic Melanoma Patients

Simple Summary

The study objective was to determine if an SNP (single nucleotide polymorphism)-based immune multi-gene panel has the ability to predict adjuvant BCG (Bacillus Calmette–Guérin) immunotherapy responsiveness post-tumor resection in AJCC (American Joint Committee on Cancer) stages III and IV metastatic melanoma patients. A pilot study followed by further verification and control melanoma patient cohorts involving three phase III multicenter clinical trials was used to verify if an immune gene SNP panel could identify if adjuvant BCG therapy correlates with disease outcomes. We found a specific immune gene SNP panel that could identify which patients would respond to adjuvant BCG immunotherapy, but it was not applicable in the control non-immunotherapy treated patients. These studies provide evidence that SNP immune-gene assessment has utility in predicting melanoma patient’s immunotherapy responses to adjuvant BCG immunotherapy.

Abstract

Adjuvant immunotherapy in melanoma patients improves clinical outcomes. However, success is unpredictable due to inherited heterogeneity of immune responses. Inherent immune genes associated with single nucleotide polymorphisms (SNPs) may influence anti-tumor immune responses. We assessed the predictive ability of 26 immune-gene SNPs genomic panels for a clinical response to adjuvant BCG (Bacillus Calmette-Guérin) immunotherapy, using melanoma patient cohorts derived from three phase III multicenter clinical trials: AJCC (American Joint Committee on Cancer) stage IV patients given adjuvant BCG (pilot cohort; n = 92), AJCC stage III patients given adjuvant BCG (verification cohort; n = 269), and AJCC stage III patients that are sentinel lymph node (SLN) positive receiving no immunotherapy (control cohort; n = 80). The SNP panel analysis demonstrated that the responder patient group had an improved disease-free survival (DFS) (hazard ratio [HR] 1.84, 95% CI 1.09–3.13, p = 0.021) in the pilot cohort. In the verification cohort, an improved overall survival (OS) (HR 1.67, 95% CI 1.07–2.67, p = 0.025) was observed. No significant differences of SNPs were observed in DFS or OS in the control patient cohort. This study demonstrates that SNP immune genes can be utilized as a predictive tool for identifying melanoma patients that are inherently responsive to BCG and potentially other immunotherapies in the future.

The melanoma brain metastatic microenvironment: aldolase C partakes in shaping the malignant phenotype of melanoma cells - a case of inter-tumor heterogeneity

Previous studies indicated that microglia cells upregulate the expression of aldolase C (ALDOC) in melanoma cells. The present study using brain‐metastasizing variants from three human melanomas explores the functional role of ALDOC in the formation and maintenance of melanoma brain metastasis (MBM). ALDOC overexpression impacted differentially the malignant phenotype of these three variants. In the first variant, ALDOC overexpression promoted cell viability, adhesion to and transmigration through a layer of brain endothelial cells, and amplified brain micrometastasis formation. The cross‐talk between this MBM variant and microglia cells promoted the proliferation and migration of the latter cells. In sharp contrast, ALDOC overexpression in the second brain‐metastasizing melanoma variant reduced or did not affect the same malignancy features. In the third melanoma variant, ALDOC overexpression augmented certain characteristics of malignancy and reduced others. The analysis of biological functions and disease pathways in the ALDOC overexpressing variants clearly indicated that ALDOC induced the expression of tumor progression promoting genes in the first variant and antitumor progression properties in the second variant. Overall, these results accentuate the complex microenvironment interactions between microglia cells and MBM, and the functional impact of intertumor heterogeneity. Since intertumor heterogeneity imposes a challenge in the planning of cancer treatment, we propose to employ the functional response of tumors with an identical histology, to a particular drug or the molecular signature of this response, as a predictive indicator of response/nonresponse to this drug.

A Pilot Study Comparing the Efficacy of Lactate Dehydrogenase Levels Versus Circulating Cell-Free microRNAs in Monitoring Responses to Checkpoint Inhibitor Immunotherapy in Metastatic Melanoma Patients

Simple Summary

Improvement in melanoma patients with metastatic disease is needed to better assess immunotherapies. Lactate dehydrogenase (LDH) is currently an accepted biomarker for stage IV, but it has limited utility for stage III melanoma patients. Thus, finding biomarkers for metastatic melanoma is important not only to identify progressive melanoma tumors, but also to monitor patients under checkpoint inhibitor immunotherapy (CII). The aim of this pilot study was to demonstrate the utility of circulating cell-free microRNAs (cfmiRs) as potential blood biomarkers for stage III and IV melanoma patients compared to LDH. To accomplish this aim, we profiled for cfmiR the plasma of metastatic melanoma patients before and during CII treatment, and compared them to normal healthy donors’ samples. The cfmiR profiling was performed using an NGS-based miRNA assay, which requires no extraction and a small volume input. We found specific cfmiR signatures in stage III and IV metastatic melanoma patients. As a proof of concept, our results showed that certain cfmiRs are associated with CII outcomes.

Abstract

Serum lactate dehydrogenase (LDH) is a standard prognostic biomarker for stage IV melanoma patients. Often, LDH levels do not provide real-time information about the metastatic melanoma patients’ disease status and treatment response. Therefore, there is a need to find reliable blood biomarkers for improved monitoring of metastatic melanoma patients who are undergoing checkpoint inhibitor immunotherapy (CII). The objective in this prospective pilot study was to discover circulating cell-free microRNA (cfmiR) signatures in the plasma that could assess melanoma patients’ responses during CII. The cfmiRs were evaluated by the next-generation sequencing (NGS) HTG EdgeSeq microRNA (miR) Whole Transcriptome Assay (WTA; 2083 miRs) in 158 plasma samples obtained before and during the course of CII from 47 AJCC stage III/IV melanoma patients’ and 73 normal donors’ plasma samples. Initially, cfmiR profiles for pre- and post-treatment plasma samples of stage IV non-responder melanoma patients were compared to normal donors’ plasma samples. Using machine learning, we identified a 9 cfmiR signature that was associated with stage IV melanoma patients being non-responsive to CII. These cfmiRs were compared in pre- and post-treatment plasma samples from stage IV melanoma patients that showed good responses. Circulating miR-4649-3p, miR-615-3p, and miR-1234-3p demonstrated potential prognostic utility in assessing CII responses. Compared to LDH levels during CII, circulating miR-615-3p levels were consistently more efficient in detecting melanoma patients undergoing CII who developed progressive disease. By combining stage III/IV patients, 92 and 17 differentially expressed cfmiRs were identified in pre-treatment plasma samples from responder and non-responder patients, respectively. In conclusion, this pilot study demonstrated cfmiRs that identified treatment responses and could allow for real-time monitoring of patients receiving CII.

Simultaneous Isolation of Circulating Nucleic Acids and EV-Associated Protein Biomarkers From Unprocessed Plasma Using an AC Electrokinetics-Based Platform

The power of personalized medicine is based on a deep understanding of cellular and molecular processes underlying disease pathogenesis. Accurately characterizing and analyzing connections between these processes is dependent on our ability to access multiple classes of biomarkers (DNA, RNA, and proteins)—ideally, in a minimally processed state. Here, we characterize a biomarker isolation platform that enables simultaneous isolation and on-chip detection of cell-free DNA (cfDNA), extracellular vesicle RNA (EV-RNA), and EV-associated proteins in unprocessed biological fluids using AC Electrokinetics (ACE). Human biofluid samples were flowed over the ACE microelectrode array (ACE chip) on the Verita platform while an electrical signal was applied, inducing a field that reversibly captured biomarkers onto the microelectrode array. Isolated cfDNA, EV-RNA, and EV-associated proteins were visualized directly on the chip using DNA and RNA specific dyes or antigen-specific, directly conjugated antibodies (CD63, TSG101, PD-L1, GPC-1), respectively. Isolated material was also eluted off the chip and analyzed downstream by multiple methods, including PCR, RT-PCR, next-generation sequencing (NGS), capillary electrophoresis, and nanoparticle size characterization. The detection workflow confirmed the capture of cfDNA, EV-RNA, and EV-associated proteins from human biofluids on the ACE chip. Tumor specific variants and the mRNAs of housekeeping gene PGK1 were detected in cfDNA and RNA isolated directly from chips in PCR, NGS, and RT-PCR assays, demonstrating that high-quality material can be isolated from donor samples using the isolation workflow. Detection of the luminal membrane protein TSG101 with antibodies depended on membrane permeabilization, consistent with the presence of vesicles on the chip. Protein, morphological, and size characterization revealed that these vesicles had the characteristics of EVs. The results demonstrated that unprocessed cfDNA, EV-RNA, and EV-associated proteins can be isolated and simultaneously fluorescently analyzed on the ACE chip. The compatibility with established downstream technologies may also allow the use of the platform as a sample preparation method for workflows that could benefit from access to unprocessed exosomal, genomic, and proteomic biomarkers.

Integrated Assessment of Circulating Cell-Free MicroRNA Signatures in Plasma of Patients with Melanoma Brain Metastasis

Primary cutaneous melanoma frequently metastasizes to distant organs including the brain. Identification of cell-free microRNAs (cfmiRs) found in the blood can be used as potential body fluid biomarkers for detecting and monitoring patients with melanoma brain metastasis (MBM). In this pilot study, we initially aimed to identify cfmiRs in the blood of MBM patients. Normal donors plasma (healthy, n = 48) and pre-operative MBM patients' plasma samples (n = 36) were compared for differences in >2000 microRNAs (miRs) using a next generation sequencing (NGS) probe-based assay. A 74 cfmiR signature was identified in an initial cohort of MBM plasma samples and then verified in a second cohort of MBM plasma samples (n = 24). Of these, only 58 cfmiRs were also detected in MBM tissues (n = 24). CfmiR signatures were also found in patients who have lung and breast cancer brain metastasis (n = 13) and glioblastomas (n = 36) compared to MBM plasma samples. The 74 cfmiR signature and the latter cfmiR signatures were then compared. We found a 6 cfmiR signature that was commonly upregulated in MBM plasma samples in all of the comparisons, and a 29 cfmiR signature that distinguishes MBM patients from normal donors' samples. In addition, we assessed for cfmiRs in plasma (n = 20) and urine (n = 14) samples collected from metastatic melanoma patients receiving checkpoint inhibitor immunotherapy (CII). Pre- and post-treatment samples showed consistent changes in cfmiRs. Analysis of pre- and post-treatment plasma samples showed 8 differentially expressed (DE) cfmiRs that overlapped with the 35 cfmiR signature found in MBM patients. In paired pre-treatment plasma and urine samples receiving CII 8 cfmiRs overlapped. This study identified specific cfmiRs in MBM plasma samples that may potentially allow for assessment of melanoma patients developing MBM. The cfmiR signatures identified in both blood and urine may have potential utility to assess CII responses after further validation.

Upregulation of cell surface GD3 ganglioside phenotype is associated with human melanoma brain metastasis

Melanoma metastasis to the brain is one of the most frequent extracranial brain tumors. Cell surface gangliosides are elevated in melanoma metastasis; however, the metabolic regulatory mechanisms that govern these specific changes are poorly understood in melanoma particularly brain metastases (MBM) development. We found ganglioside GD3 levels significantly upregulated in MBM compared to lymph node metastasis (LNM) but not for other melanoma gangliosides. Moreover, we demonstrated an upregulation of ST8SIA1 (GD3 synthase) as melanoma progresses from melanocytes to MBM cells. Using RNA‐ISH on FFPE specimens, we evaluated ST8SIA1 expression in primary melanomas (PRM) (n = 23), LNM and visceral metastasis (n = 45), and MBM (n = 39). ST8SIA1 was significantly enhanced in MBM compared to all other specimens. ST8SIA1 expression was assessed in clinically well‐annotated melanoma patients from multicenters with AJCC stage III B‐D LNM (n = 58) with 14‐year follow‐up. High ST8SIA1 expression was significantly associated with poor overall survival (HR = 3.24; 95% CI, 1.19–8.86, P = 0.02). In a nude mouse human xenograft melanoma brain metastasis model, MBM variants had higher ST8SIA1 expression than their respective cutaneous melanoma variants. Elevated ST8SIA1 expression enhances levels of cell surface GD3, a phenotype that favors MBM development, hence associated with very poor prognosis. Functional assays demonstrated that ST8SIA1 overexpression enhanced cell proliferation and colony formation, whereby ST8SIA1 knockdown had opposite effects. Icaritin a plant‐derived phytoestrogen treatment significantly inhibited cell growth in high GD3‐positive MBM cells through targeting the canonical NFκB pathway. The study demonstrates GD3 phenotype associates with melanoma progression and poor outcome.

STAT3 Activation-Induced Fatty Acid Oxidation in CD8+ T Effector Cells Is Critical for Obesity-Promoted Breast Tumor Growth

Although obesity is known to be critical for cancer development, how obesity negatively impacts antitumor immune responses remains largely unknown. Here, we show that increased fatty acid oxidation (FAO) driven by activated STAT3 in CD8+ T effector cells is critical for obesity-associated breast tumor progression. Ablating T cell Stat3 or treatment with an FAO inhibitor in obese mice spontaneously developing breast tumor reduces FAO, increases glycolysis and CD8+ T effector cell functions, leading to inhibition of breast tumor development. Moreover, PD-1 ligation in CD8+ T cells activates STAT3 to increase FAO, inhibiting CD8+ T effector cell glycolysis and functions. Finally, leptin enriched in mammary adipocytes and fat tissues downregulates CD8+ T cell effector functions through activating STAT3-FAO and inhibiting glycolysis. We identify a critical role of increased oxidation of fatty acids driven by leptin and PD-1 through STAT3 in inhibiting CD8+ T effector cell glycolysis and in promoting obesity-associated breast tumorigenesis.