Because of the association between aberrant nuclear structure and tumour grade, nuclear morphology is an indispensible criterion in the current pathological assessment of cancer. Components of the nuclear envelope environment have central roles in many aspects of cell function that affect tumour development and progression. As the roles of the nuclear envelope components, including nuclear pore complexes and nuclear lamina, are being deciphered in molecular detail there are opportunities to harness this knowledge for cancer therapeutics and biomarker development. In this Review, we summarize the progress that has been made in our understanding of the nuclear envelope and the implications of changes in this environment for cancer biology.

Glioma stem cells (GSCs) and epithelial-mesenchymal transition (EMT) are strongly associated with therapy resistance and tumor recurrence, but the underlying mechanisms are incompletely understood. Here we show that S100A4 is a novel biomarker of GSCs. S100A4+ cells in gliomas are enriched with cancer cells that have tumor-initiating and sphere-forming abilities, with the majority located in perivascular niches where GSCs are found. Selective ablation of S100A4-expressing cells was sufficient to block tumor growth in vitro and in vivo. We also identified S100A4 as a critical regulator of GSC self-renewal in mouse and patient-derived glioma tumorspheres. In contrast to previous reports of S100A4 as a reporter of EMT, we discovered that S100A4 is an upstream regulator of the master EMT regulators SNAIL2 and ZEB along with other mesenchymal transition regulators in glioblastoma. Overall, our results establish S100A4 as a central node in a molecular network that controls stemness and EMT in glioblastoma, suggesting S100A4 as a candidate therapeutic target.

Numerous enzymes of the mammalian SUMO modification pathway, including two members of the SUMO protease family, SENP2 and SENP1, localize to the nuclear periphery. The SUMO proteases play roles both in processing SUMO during the biogenesis of this peptide moiety and also in reversing SUMO modification on specific targets to control the activities conferred by this post-translational modification. Although interaction with the C-terminal domain of the nucleoporin Nup153 is thought to contribute to SENP2 localization at the nuclear pore complex, little is known about the binding partners of SENP1 at the nuclear periphery. We have found that Nup153 binds to both SENP1 and SENP2 and does so by interacting with the unique N-terminal domain of Nup153 as well as a specific region within the C-terminal FG-rich region. We have further found that Nup153 is a substrate for sumoylation, with this modification kept in check by these two SUMO proteases. Specifically, either RNAi depletion of SENP1/SENP2 or expression of dominantly interfering mutants of these proteins results in increased sumoylation of endogenous Nup153. While SENP1 and SENP2 share many characteristics, we show here that SENP1 levels are influenced by the presence of Nup153, whereas SENP2 is not sensitive to changes in Nup153 abundance.

Despite multimodal treatment that includes surgery, radiation and chemotherapy, virtually all glioblastomas (GBM) recur, indicating that these interventions are insufficient to eradicate all malignant cells. To identify potential new therapeutic targets in GBMs, we examined the expression and function of proteins that are associated with therapy resistance and cancer cell survival. We measured the expression of eight such proteins in 50 GBM samples by immunohistochemistry and analyzed patient survival. We report that GBM patients with high expression of ABCG2 (also called BCRP) or XIAP at the protein level had worse survival than those with low expression. The adjusted hazard ratio for ABCG2 was 2.35 and for XIAP was 2.65. Since glioma stem cells (GSCs) have been shown to be more resistant than bulk tumor cells to anti-cancer therapies and to express high levels of these proteins, we also sought to determine if ABCG2 and XIAP have functional roles in GSCs. We used small molecule inhibitors to treat patient-derived GBM tumorspheres in vitro and observed that inhibitors of ABCG2, Ko143 and fumitremorgin, significantly reduced self-renewal. These results suggest that ABCG2 and XIAP proteins may be useful indicators of patient survival and that inhibition of ABCG2 may be a promising therapeutic target in GBMs.

A gap remains in the understanding of how nucleoporins are coordinately produced and assembled into macromolecular pore complexes. Here two vertebrate SUMO proteases are found to be important for proper assembly of nuclear pores and maintenance of homeostatic levels of certain nucleoporins.

Three-dimensional patient derived cultures hold great potential for use as personalized functional diagnostics, enabling more accurate preclinical evaluations of drug treatments compared to conventional cell lines. Optical imaging of live cells allows for continuous, time lapsed measurements, and can provide drug response data based on rich phenotypic changes of cell cultures. However, current imaging techniques based on 2D microscopy evaluation aren’t readily adaptable to evaluate the drug response of intact spheroids, which may better represent the in vivo environment and retain critical cellular interactions within the tumor microenvironment. Using the IncuCyte live cell imaging platform, we successfully imaged a large cohort (n = 77) of patient derived glioblastoma spheroid cultures and evaluated whether changes in sphere volume could be used as a direct measure of treatment response. Improving on the default Incucyte analysis software, we developed an R data processing pipeline better suited for spheroid measurements, which quantified the heterogeneity in GBM baseline spheroid growth, and calculated a drug response score based on spheroid changes in response to DNA damaging agents (TMZ as an example). Compared to conventional viability measurements, this novel 3D drug response score was found to accurately identify both drug sensitive and resistant spheroids and showed robust concordance with genomic biomarkers of response (NGS and MGMT promoter methylation) and patient outcomes. Additionally, we coupled the 3D drug score with known genetic data to explore other key pathways and genes involved in TMZ response. We provide here novel analysis methods and public code (Github) to advance the use of IncuCyte spheroid measurements, and deconvolute 3D spheroid drug response into a quantifiable statistic. These methods are adaptable to freshly isolated patient cells for rapid evaluation of treatment response in GBM patients while remaining widely applicable to other cancers such as pancreatic, colon, and non-cancer organoids/spheroids with 3D growth.

Brain metastases (BM) are a leading cause of cancer death and prognosis remains poor despite treatment advances at other sites. Models are central to therapeutic development, but few orthotopic patient-derived xenograft (PDX) models of BM exist. To represent diversity across BM types, we established a program to create orthotopic PDX at scale from all BM patients. To date BM were received from 100 patients and PDX attempted by direct brain injection (PDX, n=89) or injection of low passage patient-derived cell lines (PDCLX, n=11). We created 65 successful BM PDX from 13 cancers: 17 lung (55% take), 15 breast (68%), 6 melanoma (75%), 5 CNS lymphoma (83%), 3 gastrointestinal (75%), 2 esophageal (40%), 2 ovarian (67%), 1 sarcoma (100%), 1 laryngeal (100%), 1 prostate (100%), 1 pancreatic (100%), 1 uterine adenosarcoma (100%), and 1 yolk sac tumor (100%). Take rate was similar for models derived from patients with prior chemotherapy-only versus immune/targeted therapy-only (63 vs 58%). Fifteen patients had live tumor and matching PBMCs archived for modeling in vitro immunotherapy responses. Mean time to moribund among different cancer types ranged from 27 days (yolk sac tumor) to 177.5 days (ovarian). BM PDX had a favorable timeline for preclinical study (90% moribund at 180 days). All PDX retained high fidelity to the patient driver SNVs and copy aberrations, even at >P4. No significant differences noted by immunodeficient strain (SCID versus NSG) or injection site (orthotopic versus heterotopic). Explants from BM PDX were able to generate long-term cell lines (60%) or short-term cultures with qualitative concordance of model-to-patient responses to targeted therapy (Osimertinib, EGFRi) and immunotherapy (Pembrolizumab, PD1i). Genomic and clinical data were used to create the DFCI BM PDX cBioPortal for public release and models distribution will be available through the DFCI Center for Patient Derived Models.

Lymphomas of the central nervous system (CNSL) are rare tumors with few treatment options; however, recent genomic studies have uncovered several druggable targets. To facilitate novel treatment discovery, we sought to establish patient-derived xenograft (PDX) models and cell lines from patients with newly diagnosed or recurrent CNSL. PDX models were attempted from fresh tumor samples from 18 consented patients for whom rich clinical annotation was available. Orthotopic intracranial injections were performed via stereotactic injection. Cell line generation was attempted from both primary tumors (PDCL) and PDX samples (PDXCL). Characterization included histopathology, targeted exome sequencing, low-pass whole-genome sequencing for copy number evaluation, and expression profiling of matched patient tumors and PDXs. Drug response testing was performed using CellTiterGlo. From 18 samples attempted, 8 PDX models were successfully generated: 2 primary CNS diffuse large B-cell lymphoma (DLBCL), 5 secondary CNS DLBCL, and 1 secondary cutaneous T-cell lymphoma (CTCL). Mean time to moribund was 66 days. All 8 PDXs grew successfully as orthotopic models, and 4 also grew in subrenal capsule. Additionally, 6 PDCL and 2 PDXCL were established (> P3). Models faithfully represented primaries, showing nearly identical histopathology, immunoprofiles, and genomic signatures. To support expanded and rapid preclinical use of these models in drug testing we documented that PDX could be explanted to create short-term cell preparations or long-term cell lines with a 100% and 40% success rate, respectively. Proof of principle testing showed that explanted DLBCL PDX cells and cell lines showed sensitivity to copanlisib and venetoclax, which were not efficacious in the CTCL PDX. These findings showcase a diverse collection of CNSL models demonstrating high fidelity to primary tumors at the genomic and phenotypic levels, emphasizing their utility for preclinical studies and as patient avatars to rapidly determine sensitivities to existing and novel regimens prior to initiation of therapy.