Kannan, Nagarajan

Abstract Abundant fibrotic stroma is a typical feature of most solid tumors, and stromal activation promotes oncogenesis, therapy resistance, and metastatic dissemination of cancer cells. Therefore, targeting the tumor stroma in combination with standard-of-care therapies has become a promising therapeutic strategy in recent years. The leucine-rich repeat-containing protein 15 (LRRC15) is involved in cell–cell and cell–matrix interactions and came into focus as a promising anticancer target owing to its overexpression in mesenchymal-derived tumors such as sarcoma, glioblastoma, and melanoma and in cancer-associated fibroblasts in the microenvironment of breast, head and neck, lung, and pancreatic tumors. Effective targeting of LRRC15 using specific antibody–drug conjugates (ADC) has the potential to improve the outcome of patients with LRRC15-positive (LRRC15+) cancers of mesenchymal origin or stromal desmoplasia. Moreover, LRRC15 expression may serve as a predictive biomarker that could be utilized in the preclinical assessment of cancer patients to support personalized clinical outcomes. This review focuses on the role of LRRC15 in cancer, including clinical trials involving LRRC15-targeted therapies, such as the ABBV-085 ADC for patients with LRRC15+ tumors. This review spans perceived knowledge gaps and highlights the clinical avenues that need to be explored to provide better therapeutic outcomes in patients.

Abstract The role of maternal microbiome transmitted at birth in cancer control is poorly understood. We have developed the first germfree B6 mouse model of breast cancer to investigate the role of the maternal microbiome in controlling oncogenic/metastatic frequencies of pro-oncogenic mammary cells. In this model, a DNA barcoded, primitive normal mouse mammary epithelial cell encoding MMTV-PyMT oncogene, was transplanted in large numbers into conventional or germfree B6 mice. Next-gen sequencing analysis of the DNA barcodes in tissues enabled us to clonally track millions of cells and measure the frequency and growth dynamics of clones at the primary site and their systemic distribution in circulation and all vital organs, generating an unprecedented high-definition map of cancer progression. Our results show that in conventional B6 mice with maternal microbial transmission at-birth, a small fraction (~0.01%) of transplanted cells transform de novo and produce slow growing, late-onset benign tumors (mouse median survival of > 1 year). In contrast, in germfree B6 mice, a >10-fold higher frequency of cells transform de novo and generate early-onset, highly aggressive metastatic clones, and are frequently associated with features leading to early euthanasia or endpoint (i.e. sudden death, intracardiac metastasis, paralysis, swollen abdomen, early multiorgan aggressive metastasis) (median survival of ~4 months; p<0.005 vs conventional mice). However, postnatal intervention with healthy fecal implants reconstituted gut microbiota in germfree B6 mice and significantly restored protective effects against cancer progression and sudden death, as well as improved quality/duration of life (median survival of >1 year; p<0.005 vs germfree mice; p=ns vs conventional mice). We found maternal microbial transmission fully protected against systemic metastasis. GC-MS analysis identified significantly distinct primary tumor metabolome associated with conventional (non-metastatic) mice vs germfree (metastatic) mice. Metagenomic analysis of fecal samples from a subset of tumor bearing conventional (non-metastatic) mice vs fecal implanted (late-onset, less aggressive metastatic) germfree mice identified significant association between metastasis and altered microbial communities. These findings using novel germfree mouse model of metastasis and cellular DNA barcoding technology provide first direct evidence that diverse microbial communities transmitted at birth play a critical role in protecting the host from clonal de novo mammary cell transformation and progression to systemic disease and thereby improving quality and duration of life. Citation Format: Nagarajan Kannan, Syed Mohammed Musheer Aalam, Xiaojia Tang, Krishna Kalari, Purna Kashyap, Jun Chen, Stephen Johnson, Anguraj Sadanandam, Mark Sherman. Maternal microbiome protects host against clonal de novo transformation, early onset systemic metastasis, and sudden death [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB226.

e18055 Background: Entrectinib, a TRK kinase inhibitor, has been approved for the treatment of tissue agnostic rare tumors positive for TRK fusions. A very low frequency molecular subset of TRK fusion tumors dubbed as secretory carcinoma (SC) are characterized by organ-agnostic epithelial origin, ETV6-NTRK3 (EN) fusion and distinguishable secretory-type tumor cells. These tumors have been frequently miscategorized as acinic cell carcinoma or adenocarcinoma. A previous mouse study identified EGF dependent epithelial progenitors as putative cell-of-origin for SC. Methods: To test the role of EGFR signaling in EN mediated transformation and therapy resistance, we expressed EN, kinase-dead EN-K380M, and drug-resistant EN-G623R in human epithelial MCF10A cells with EGF-dependent primitive function and investigated their ability to grow in the presence and absence of EGF and/or entrectinib. To understand the significance of findings based on our model, we analyzed a total of 22 ‘rare’ patients from Mayo Clinic Tissue Registry and analyzed TCGA PanCan datasets. Results: We report herein that EGF signaling is essential for normal growth but dispensable during EN driven transformation. Our findings suggest that levels equivalent to circulating EGF (0.5-1ng/ml) is sufficient to drive 100% resistance to entrectinib in vitro. Three different strategies to blockade EGF/EGFR axis including depletion of EGF in culture system, genetic depletion of EGFR using shRNA as well as cetuximab antibody-based EGFR neutralization potentiated oncogene-addiction and hypersensitivity to entrectinib in our models. As predicted, models with G623R mutation in EN was refractory to entrectinib under all experimental conditions. Further omics analysis of TCGA PanCan suggested that EN and EGFR mutations are mutually exclusive and entrectinib-resistant G623R mutation were uncommon. Interestingly, nearly all EN tumors from Mayo Clinic Tissue Registry immunostained weakly or strongly for EGFR and showed perfect concordance with pEGFR suggesting pathway activation. Conclusions: Together, these findings raise an important question whether blockade of ‘wildtype’ EGFR signaling could improve medical intervention in SC patients presenting with wildtype EGFR and no drug-resistant mutation in entrectinib, by improving oncogene-addiction and attendant hypersensitization of transformed cells to entrectinib.

Abstract A data-independent acquisition (DIA) approach is being increasingly adopted as a promising strategy for identification and quantitation of proteomes. As most DIA data sets are acquired with wide isolation windows, highly complex MS/MS spectra are generated, which negatively impacts obtaining peptide information through classical protein database searches. Therefore, the analysis of DIA data mainly relies on the evidence of the existence of peptides from prebuilt spectral libraries. Consequently, one major weakness of this method is that it does not account for peptides that are not included in the spectral library, precluding the use of DIA for discovery studies. Here, we present a strategy termed Precursor ion And Small Slice-DIA (PASS-DIA) in which MS/MS spectra are acquired with small isolation windows (slices) and MS/MS spectra are interpreted with accurately determined precursor ion masses. This method enables the direct application of conventional spectrum-centric analysis pipelines for peptide identification and precursor ion-based quantitation. The performance of PASS-DIA was observed to be superior to both data-dependent acquisition (DDA) and conventional DIA experiments with 69 and 48% additional protein identifications, respectively. Application of PASS-DIA for the analysis of post-translationally modified peptides again highlighted its superior performance in characterizing phosphopeptides (77% more), N-terminal acetylated peptides (56% more), and N-glycopeptides (83% more) as compared to DDA alone. Finally, the use of PASS-DIA to characterize a rare proteome of human fallopian tube organoids enabled 34% additional protein identifications than DDA alone and revealed biologically relevant pathways including low abundance proteins. Overall, PASS-DIA is a novel DIA approach for use as a discovery tool that outperforms both conventional DDA and DIA experiments to provide additional protein information. We believe that the PASS-DIA method is an important strategy for discovery-type studies when deeper proteome characterization is required.

Abstract COVID-19 patients show significant clinical heterogeneity in presentation and outcomes that makes pandemic control and strategy difficult; optimising management requires a systems biology approach of understanding the disease. Here we sought to understand and infer complex system-wide changes in patients infected with coronaviruses (SARS-CoV and SARS-CoV-2; n=38 and 57 samples) at two different disease stages compared with healthy individuals (n=16) and patients with other infections (n=144). We applied inferential statistics/machine-learning approaches (the COVID-engine platform) to RNA profiles derived from peripheral blood mononuclear cells (PBMCs). Compared to healthy individuals, an integrated blood-based gene signatures distinguished acute-like (mimicking coronavirus-infected patients with prolonged hospitalisation) from recovering-like patients. These signatures also hierarchically represented systems-level parameters associated with PBMC including dysregulated cytokines, genes, pathways, networks of pathways/concepts, immune status, and cell types. Proof-of-principle confirmatory observations included PBMC-associated increases in ACE2, cytokine storm-associated IL6, enhanced innate immunity (macrophages and neutrophils), and lower adaptive T and B cell immunity in patients with acute-like disease compared to those with recovery-like disease. Patients in the recovery-like stage had significantly enhanced TNF, IFN-g, anti-viral, HLA-DQA1, and HLA-F gene expression and cytolytic activity, and reduced pro-viral gene expression compared to those in the acute-like stage in PBMC. Besides, PBMC-derived surrogate-based approach revealed overlapping genes associated with comorbidities (associated diabetes), and disease-like symptoms (associated with thromboembolism, pneumonia, lung disease and septicaemia). Overall, our study involving PBMC-based RNA profiling may further help understand complex and variable systems-wide responses displayed by coronavirus-infected patients.

AbstractSynthetic progestogens (progestins) have been linked to increased breast cancer risk; however, the role of endogenous progesterone in breast physiology and carcinogenesis is less clearly defined. Mechanistic studies using cell culture, tissue culture, and preclinical models implicate progesterone in breast carcinogenesis. In contrast, limited epidemiologic data generally do not show an association of circulating progesterone levels with risk, and it is unclear whether this reflects methodologic limitations or a truly null relationship. Challenges related to defining the role of progesterone in breast physiology and neoplasia include: complex interactions with estrogens and other hormones (eg, androgens, prolactin, etc.), accounting for timing of blood collections for hormone measurements among cycling women, and limitations of assays to measure progesterone metabolites in blood and progesterone receptor isotypes (PRs) in tissues. Separating the individual effects of estrogens and progesterone is further complicated by the partial dependence of PR transcription on estrogen receptor (ER)α-mediated transcriptional events; indeed, interpreting the integrated interaction of the hormones may be more essential than isolating independent effects. Further, many of the actions of both estrogens and progesterone, particularly in “normal” breast tissues, are driven by paracrine mechanisms in which ligand binding to receptor-positive cells evokes secretion of factors that influence cell division of neighboring receptor-negative cells. Accordingly, blood and tissue levels may differ, and the latter are challenging to measure. Given conflicting data related to the potential role of progesterone in breast cancer etiology and interest in blocking progesterone action to prevent or treat breast cancer, we provide a review of the evidence that links progesterone to breast cancer risk and suggest future directions for filling current gaps in our knowledge.

Telomere dysfunction has been strongly implicated in the initiation of genomic instability and is suspected to be an early event in the carcinogenesis of human solid tumors. Recent findings have established the presence of telomere fusions in human breast and prostate malignancies; however, the onset of this genomic instability mechanism during progression of other solid cancers is not well understood. Herein, we explored telomere dynamics in patient-derived epithelial ovarian cancers (OC), a malignancy characterized by multiple distinct subtypes, extensive molecular heterogeneity, and widespread genomic instability. We discovered a high frequency of telomere fusions in ovarian tumor tissues; however, limited telomere fusions were detected in normal adjacent tissues or benign ovarian samples. In addition, we found relatively high levels of both telomerase activity and hTERT expression, along with anaphase bridges in tumor tissues, which were notably absent in adjacent normal ovarian tissues and benign lesions. These results suggest that telomere dysfunction may occur early in ovarian carcinogenesis and, importantly, that it may play a critical role in the initiation and progression of the disease. Recognizing telomere dysfunction as a pervasive feature of this heterogeneous malignancy may facilitate the future development of novel diagnostic tools and improved methods of disease monitoring and treatment.

Macrophages help mediate hormone-controlled changes in the mouse mammary gland

Abstract Background: Accumulating epidemiological studies positively associate healthy body mass index (BMI) and higher physical activity with lowered risk of postmenopausal breast cancer. Many of the proposed biomarkers underlying these associations, such as insulin, inflammatory markers, steroid hormones, and adipokines, are produced or regulated by adipose tissue. However, the biological impact of lifestyle factors at the level of the breast tissue, particularly adipose tissue in the breast, is unclear and may play a role in the etiology of breast cancer. Methods: Using a cross-sectional design, we examined the impact of demographic and lifestyle factors on histological features of breast adipose tissue. Women (age) undergoing reduction mammoplasty surgery were consented to collection of their cancer-free breast tissue at the time of surgery. An adipose rich section of the sample was dissected under sterile conditions and formalin fixed. Samples were sectioned at 7 µm thickness and stained with hematoxylin and eosin. The stained sections were imaged and mean adipocyte size was determined as diameter (µm) from 3 randomly selected areas at 10X magnification and each sample was scored by two independent assessors using Image J software. BMI status documented at the time of surgery was abstracted form medical records. A subset of women completed an additional visit where percent total body fat was measured by air displacement plethysmography and aerobic fitness (VO2peak) was measured by a maximal graded exercise test with expired gas collection. The association between adipocyte size and demographic/lifestyle factors was examined using multivariate linear regression adjusted for age and menopausal status. Results: Participants (n=42) were primarily Caucasian (77%) and pre/peri-menopausal (62%), with a mean age of 44.6±12.9 years (range 19-70) and mean BMI of 27.7±5.1 kg/m2 (range 19.1-37.4). Adipocyte size was associated with BMI (per 5 kg/m2 increase, β = 5.6±2.15, p=0.01) and number of pregnancies (β = 6.04±2.34, p=0.02), but not age (β = 0.1±0.3, p=0.81). In the subset of participants who completed an additional study visit (n=9), there was a trend towards an inverse association between adipocyte size and aerobic fitness (per 2 ml/kg/min of O2 consumption, β = -3.54±1.52, p=0.07) and percent body fat (per 2% increase, β = 1.94±1.28, p=0.17) in unadjusted analyses. Conclusion: Higher BMI is associated with larger adipocyte size in adipose tissue taken from the breast, suggesting a biological role for body composition in influencing gross histological features of adipocytes and its behavior that would impact the health of the mammary gland. A better understanding of the biological mechanisms underlying the observed epidemiological associations are needed to guide the development of intervention strategies and the most effective public health messages for breast cancer prevention. Citation Format: Kristin L. Campbell, Nagarajan Kannan, Sarah E. Neil-Sztramko, Connie J. Eaves, Jonathan P. Little, Ilona Csizmadi, David Zhu, Sarah Sayyari, Kelcey Bland, James D. Johnson. Influence of lifestyle factors on adipocyte size in human breast tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4258. doi:10.1158/1538-7445.AM2017-4258