A DNA damage response-like phenotype defines a third of colon cancers at onset.

Colon adenocarcinoma (COAD) has a limited range of diversified, personalized therapeutic opportunities, besides DNA hypermutating cases; thus, both new targets or broadening existing strategies for personalized intervention are of interest. Routinely processed material from 246 untreated COADs with clinical follow-up was probed for evidence of DNA damage response (DDR), that is, the gathering of DDR-associated molecules at discrete nuclear spots, by multiplex immunofluorescence and immunohistochemical staining for DDR complex proteins (γH2AX, pCHK2, and pNBS1). We also tested the cases for type I interferon response, T-lymphocyte infiltration (TILs), and mutation mismatch repair defects (MMRd), known to be associated with defects of DNA repair. FISH analysis for chromosome 20q copy number variations was obtained. A total of 33.7% of COAD display a coordinated DDR on quiescent, non-senescent, non-apoptotic glands, irrespective of TP53 status, chromosome 20q abnormalities, and type I IFN response. Clinicopathological parameters did not differentiate DDR+ cases from the other cases. TILs were equally present in DDR and non-DDR cases. DDR+ MMRd cases were preferentially retaining wild-type MLH1. The outcome after 5FU-based chemotherapy was not different in the two groups. DDR+ COAD represents a subgroup not aligned with known diagnostic, prognostic, or therapeutic categories, with potential new targeted treatment opportunities, exploiting the DNA damage repair pathways.

BRAQUE: Bayesian Reduction for Amplified Quantization in UMAP Embedding.

Single-cell biology has revolutionized the way we understand biological processes. In this paper, we provide a more tailored approach to clustering and analyzing spatial single-cell data coming from immunofluorescence imaging techniques. We propose Bayesian Reduction for Amplified Quantization in UMAP Embedding (BRAQUE) as an integrative novel approach, from data preprocessing to phenotype classification. BRAQUE starts with an innovative preprocessing, named Lognormal Shrinkage, which is able to enhance input fragmentation by fitting a lognormal mixture model and shrink each component towards its median, in order to help further the clustering step in finding more separated and clear clusters. Then, BRAQUE's pipeline consists of a dimensionality reduction step performed using UMAP, and a clustering performed using HDBSCAN on UMAP embedding. In the end, clusters are assigned to a cell type by experts, using effects size measures to rank markers and identify characterizing markers (Tier 1), and possibly characterize markers (Tier 2). The number of total cell types in one lymph node detectable with these technologies is unknown and difficult to predict or estimate. Therefore, with BRAQUE, we achieved a higher granularity than other similar algorithms such as PhenoGraph, following the idea that merging similar clusters is easier than splitting unclear ones into clear subclusters.

Dissecting the histological features of lupus nephritis highlights new common patterns of injury in class III/IV.

OBJECTIVE: The International Society of Nephrology/Renal Pathology Society classification is the gold standard for the characterisation of lupus nephritis (LN) on renal biopsy, with therapeutic repercussions. Its recent revision simplified the current class subdivisions, eliminating the S/G forms of class IV, although data on a possible pathogenetic/clinical value of this subdivision are still contradictory. METHODS: 353 renal biopsies from Belimumab International Study in LN were assessed through central pathology review. Univariate logistic models and a decision tree were performed on 314 adequate biopsies to evaluate the impact of histological features on focal/diffuse classes. Removing class I/II (n=6) and 'pure' class V (n=34), principal component analysis (PCA) and heatmap were used to explore similarities among III, IVS and IVG biopsies either incorporating or not the mixed classes (+V, n=274). Finally, a method aimed at partitioning the cases into k clusters based on their similarity (KMeans), was used to study features from the cohort of 'pure' class III/IVS/IVG cases (n=214) to determine alternative subdivisions based on phenotypic data. RESULTS: Segmental endocapillary hypercellularity (EH) was prevalent in class III, global EH, wire loops, hyaline thrombi and double contours were hallmarks of class IVG, with IVS cases showing intermediate characteristics. Heatmap and PCA confirmed the segregation of these features among classes, showing better segregation for focal/diffuse LN as compared with the mixed classes (+V). KMeans revealed the presence of two main clusters, membranoproliferative-like (n=83) or vasculitis-like (n=131). CONCLUSIONS: This study reveals new phenotypic forms of LN surpassing the traditional classes as determined by the current classification. Future validation and confirmation are required to confirm these findings.

In-depth characterization of the tumor microenvironment in central nervous system lymphoma reveals implications for immune-checkpoint therapy.

Primary central nervous system lymphoma (PCNSL) is a rare type of non-Hodgkin lymphoma with an aggressive clinical course. To investigate the potential of immune-checkpoint therapy, we retrospectively studied the tumor microenvironment (TME) using high-plex immunohistochemistry in 22 PCNSL and compared to 7 secondary CNS lymphomas (SCNSL) and 7 "other" CNSL lymphomas with the presence of the Epstein-Barr virus and/or compromised immunity. The TME in PCNSL was predominantly composed of CD8+ cytotoxic T cells and CD163+ phagocytes. Despite molecular differences between PCNSL and SCNSL, the cellular composition and the functional spectrum of cytotoxic T cells were similar. But cytotoxic T cell activation was significantly influenced by pre-biopsy corticosteroids intake, tumor expression of PD-L1 and the presence of EBV. The presence of low numbers of CD8+ T cells and geographic-type necrosis each predicted inferior outcome in PCNSL. Both M1-like (CD68 + CD163low) and M2-like (CD68 + CD163high) phagocytes were identified, and an increased ratio of M1-like/M2-like phagocytes was associated with a better survival. PD-L1 was expressed in lymphoma cells in 28% of cases, while PD1 was expressed in only 0.4% of all CD8+ T cells. TIM-3, a marker for T cell exhaustion, was significantly more expressed in CD8posPD-1pos T cells compared to CD8posPD-1neg T cells, and a similar increased expression was observed in M2-like pro-tumoral phagocytes. In conclusion, the clinical impact of TME composition supports the use of immune-checkpoint therapies in PCNSL. Based on observed differences in immune-checkpoint expression, combinations that boost cytotoxic T cell activation (by blocking TIM-3 or TGFBR1) prior to the administration of PD-L1 inhibition could be of interest.

Nephrosphere-Derived Cells Are Induced to Multilineage Differentiation when Cultured on Human Decellularized Kidney Scaffolds.

In end-stage chronic kidney disease, the option of organ transplantation is limited because of the scarce availability of kidneys. The combination of stem cell research, regenerative medicine, and tissue engineering seems a promising approach to produce new transplantable kidneys. Currently, the possibility to repopulate naturally obtained scaffolds with cells of different sources is advancing. Our aim was to test, for the first time, whether the nephrosphere (NS) cells, composed by renal stem/progenitor-like cells, were able to repopulate different nephron portions of renal extracellular matrix scaffolds obtained after decellularization of human renal tissue slices. Our decellularization protocol enabled us to obtain a completely acellular renal scaffold while maintaining the extracellular matrix structure and composition in terms of collagen IV, laminin, and fibronectin. NS cells, cultured on decellularized renal scaffolds with basal medium, differentiated into proximal and distal tubules as well as endothelium, as highlighted by histology and by the specific expression of epithelial cytokeratin 8.18, proximal tubular CD10, distal tubular cytokeratin 7, and endothelial von Willebrand factor markers. Endothelial medium promoted the differentiation toward the endothelium, whereas epithelial medium promoted the differentiation toward the epithelium. NS cells seem to be a good tool for scaffold repopulation, paving the way for experimental investigations focused on whole-kidney reconstruction.

AID-dependent activation of a MYC transgene induces multiple myeloma in a conditional mouse model of post-germinal center malignancies.

By misdirecting the activity of Activation-Induced Deaminase (AID) to a conditional MYC transgene, we have achieved sporadic, AID-dependent MYC activation in germinal center B cells of Vk*MYC mice. Whereas control C57BL/6 mice develop benign monoclonal gammopathy with age, all Vk*MYC mice progress to an indolent multiple myeloma associated with the biological and clinical features highly characteristic of the human disease. Furthermore, antigen-dependent myeloma could be induced by immunization with a T-dependent antigen. Consistent with these findings in mice, more frequent MYC rearrangements, elevated levels of MYC mRNA, and MYC target genes distinguish human patients with multiple myeloma from individuals with monoclonal gammopathy, implicating a causal role for MYC in the progression of monoclonal gammopathy to multiple myeloma.

MALDI imaging mass spectrometry in glomerulonephritis: feasibility study.

AIMS: The in-situ proteomics technology known as matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) is a powerful technique that combines traditional histology and proteomics. METHODS AND RESULTS: MALDI-IMS was applied to routine diagnostic kidney biopsies in a small group of cases of membranous glomerulonephritis and minimal change disease. Molecular changes were observed not only in the tissue areas with pathological alterations, but also in morphologically normal-looking tissue, highlighting the potential feasibility of using MALDI-IMS as a tool in nephropathology. CONCLUSIONS: This technology can be applied to any biopsy where a frozen section is obtained as part of the diagnostic process. Although we do not yet know the molecular identity of the differentially expressed proteins/peptides, they could represent powerful classifiers of nosological groups.

MYC expression and distribution in normal mature lymphoid cells.

The distribution of the product of the proto-oncogene MYC in lymphoid tissue has not been established in three decades, due to a combination of factors including low abundance, short half-life, and antibody sensitivity and specificity. We sought to validate antibodies in order to define the expression and distribution of MYC in mature normal lymphoid cells by multiparametric immunophenotyping. Having validated two antibodies for flow cytometry and for immunohistochemistry, we analysed normal tonsil tissue. MYC is expressed predominantly in B cells, some of which are interfollicular large, activated, and cycling CD30+, IRF4+, AID± blasts. Follicular mantle, isotype-switched memory B cells and FcRH4/IRTA1+ B cells express MYC in a wide range of levels and are small non-proliferating CDKN1B/p27-positive or -negative resting B lymphocytes. Germinal centre founder cells, CD30+ BCL6± AID± germinal centre blasts, and a population of GC cells in the apical light zone express MYC. MYC is expressed in all phases of the cell cycle in activated and mature B cells, but rarely in other lymphoid types and only partially fulfils the predictions derived from extractive and ex vivo experiments of the past 30 years.

Antibodies are forever: a study using 12-26-year-old expired antibodies.

AIMS: The aim of this study was to investigate whether the shelf-life of diagnostic antibodies is longer than the expiry date on the label. METHODS AND RESULTS: Four independent laboratories tested a small number of diagnostic antibodies kept at +4°C for 12-26 years, and found them to work perfectly on routine histology sections. CONCLUSIONS: Diagnostic antibodies may have a workable half-life in excess of 10 years, and the emphasis on performance should shift to the preservation of antigenic targets in the tissue.

Deregulated BCL6 expression recapitulates the pathogenesis of human diffuse large B cell lymphomas in mice.

Diffuse large B cell lymphomas (DLBCL) derive from germinal center (GC) B cells and display chromosomal alterations deregulating the expression of BCL6, a transcriptional repressor required for GC formation. To investigate the role of BCL6 in DLBCL pathogenesis, we have engineered mice that express BCL6 constitutively in B cells by mimicking a chromosomal translocation found in human DLBCL. These mice display increased GC formation and perturbed post-GC differentiation characterized by a decreased number of post-isotype switch plasma cells. Subsequently, these mice develop a lymphoproliferative syndrome that culminates with the development of lymphomas displaying features typical of human DLBCL. These results define the oncogenic role of BCL6 in the pathogenesis of DLBCL and provide a faithful mouse model of this common disease.

Essential role of Plzf in maintenance of spermatogonial stem cells.

Little is known of the molecular mechanisms whereby spermatogonia, mitotic germ cells of the testis, self-renew and differentiate into sperm. Here we show that Zfp145, encoding the transcriptional repressor Plzf, has a crucial role in spermatogenesis. Zfp145 expression was restricted to gonocytes and undifferentiated spermatogonia and was absent in tubules of W/W(v) mutants that lack these cells. Mice lacking Zfp145 underwent a progressive loss of spermatogonia with age, associated with increases in apoptosis and subsequent loss of tubule structure but without overt differentiation defects or loss of the supporting Sertoli cells. Spermatogonial transplantation experiments revealed a depletion of spermatogonial stem cells in the adult. Microarray analysis of isolated spermatogonia from Zfp145-null mice before testis degeneration showed alterations in the expression profile of genes associated with spermatogenesis. These results identify Plzf as a spermatogonia-specific transcription factor in the testis that is required to regulate self-renewal and maintenance of the stem cell pool.

Integration of hybrid single-photon emission computed tomography/computed tomography in the preoperative assessment of sentinel node in patients with cervical and endometrial cancer: our experience and literature review.

OBJECTIVE: The purpose of this study was to assess whether there is an additional value of single-photon emission computed tomography/computed tomography (SPECT/CT) over lymphoscintigraphy (LSG) alone for sentinel node (SN) mapping in endometrial and cervical cancer. METHODS: Ten women with clinically cervical stage IA2 to stage IB1 and 25 women with stage I endometrial cancer underwent preoperative LSG for SN mapping. Technetium Tc 99m albumin nanocolloid was injected submucosally at 4 points of the cervix. Patients underwent SPECT/CT emission-transmission study at least 3 hours after standard planar images. Methylene blue was injected into the cervix just before surgery under general anesthesia. All patients underwent hysterectomy, bilateral salpingo-oophorectomy, and radical regional nodal dissection. Hot and/or blue nodes were labeled as SNs. RESULTS: Conventional planar imaging detection rate was 50%, whereas the detection rate of at least one SN with SPECT/CT was 91% (32/35); bilateral detection was achieved in 7 (39%) of 18 women in planar and in 17 (53%) of 32 women in SPECT/CT imaging, respectively. Bilateral detection was achieved in 57% of women (20/35). Sentinel nodes were located in external and internal iliac nodes (66%), obturator nodes (5%), internal iliac nodes (11%), common iliac nodes (9%), and presacral nodes (9%). Lymph node involvement was identified in 5 patients (14%). Sentinel node correctly predicted lymph node involvement in all node-positive patients. Sentinel node sensitivity and negative predictive value of SPECT/CT were 100%. CONCLUSIONS: Single photon emission computed tomography/computed tomography seems to improve intraoperative identification of SNs and provides additional useful information about the anatomic location of SNs compared to planar LSG in cervical and endometrial cancer.

Association between miR-200c and the survival of patients with stage I epithelial ovarian cancer: a retrospective study of two independent tumour tissue collections.

BACKGROUND: International Federation of Gynecology and Obstetrics stage I epithelial ovarian cancer (EOC) has a significantly better prognosis than stage III/IV EOC, with about 80% of patients surviving at 5 years (compared with about 20% of those with stage III/IV EOC). However, 20% of patients with stage I EOC relapse within 5 years. It is therefore crucial that the biological properties of stage I EOCs are further elucidated. MicroRNAs (miRNAs) have shown diagnostic and prognostic potential in stage III and IV EOCs, but the small number of patients diagnosed with stage I EOC has so far prevented an investigation of its molecular features. We profiled miRNA expression in stage I EOC tumours to assess whether there is a miRNA signature associated with overall and progression-free survival (PFS) in stage I EOC. METHODS: We analysed tumour samples from 144 patients (29 of whom relapsed) with stage I EOC gathered from two independent tumour tissue collections (A and B), both with a median follow-up of 9 years. 89 samples from tumour tissue collection A were stratified into a training set (51 samples, 15 of which were from patients who relapsed) for miRNA signature generation, and into a validation set (38 samples, seven of which were from patients who relapsed) for signature validation. Tumour tissue collection B (55 samples, seven of which were from patients who relapsed) was used as an independent test set. The Cox proportional hazards model and the log-rank test were used to assess the correlation of quantitative reverse transcription PCR (qRT-PCR)-validated miRNAs with overall survival and PFS. FINDINGS: A signature of 34 miRNAs associated with survival was generated by microarray analysis in the training set. In both the training set and validation set, qRT-PCR analysis confirmed that 11 miRNAs (miR-214, miR-199a-3p, miR-199a-5p, miR-145, miR-200b, miR-30a, miR-30a*, miR-30d, miR-200c, miR-20a, and miR-143) were expressed differently in relapsers compared with non-relapsers. Three of these miRNAs (miR-200c, miR-199a-3p, miR-199a-5p) were associated with PFS, overall survival, or both in multivariate analysis. qRT-PCR analysis in the test set confirmed the downregulation of miR-200c in relapsers compared with non-relapsers, but not the upregulation of miR-199a-3p and miR-199a-5p. Multivariate analysis confirmed that downregulation of miR-200c in the test set was associated with overall survival (HR 0·094, 95% CI 0·012-0·766, p=0·0272) and PFS (0·035, 0·004-0·311; p=0·0026), independent of clinical covariates. INTERPRETATION: miR-200c has potential as a predictor of survival, and is a biomarker of relapse, in stage I EOC. FUNDING: Nerina and Mario Mattioli Foundation, Cariplo Foundation (Grant Number 2010-0744), and the Italian Association for Cancer Research.

The normal and fibrotic mouse lung classified by spatial proteomic analysis.

Single cell classification is elucidating homeostasis and pathology in tissues and whole organs. We applied in situ spatial proteomics by multiplex antibody staining to routinely processed mouse lung, healthy and during a fibrosis model. With a limited validated antibody panel (24) we classify the normal constituents (alveolar type I and II, bronchial epithelia, endothelial, muscular, stromal and hematopoietic cells) and by quantitative measurements, we show the progress of lung fibrosis over a 4 weeks course, the changing landscape and the cell-specific quantitative variation of a multidrug transporter. An early decline in AT2 alveolar cells and a progressive increase in stromal cells seems at the core of the fibrotic process.

Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level.

Single-cell omics aim at charting the different types and properties of all cells in the human body in health and disease. Over the past years, myriads of cellular phenotypes have been defined by methods that mostly required cells to be dissociated and removed from their original microenvironment, thus destroying valuable information about their location and interactions. Growing insights, however, are showing that such information is crucial to understand complex disease states. For decades, pathologists have interpreted cells in the context of their tissue using low-plex antibody- and morphology-based methods. Novel technologies for multiplexed immunohistochemistry are now rendering it possible to perform extended single-cell expression profiling using dozens of protein markers in the spatial context of a single tissue section. The combination of these novel technologies with extended data analysis tools allows us now to study cell-cell interactions, define cellular sociology, and describe detailed aberrations in tissue architecture, as such gaining much deeper insights in disease states. In this review, we provide a comprehensive overview of the available technologies for multiplexed immunohistochemistry, their advantages and challenges. We also provide the principles on how to interpret high-dimensional data in a spatial context. Similar to the fact that no one can just "read" a genome, pathological assessments are in dire need of extended digital data repositories to bring diagnostics and tissue interpretation to the next level.

Automated multimodal fluorescence microscopy for hyperplex spatial-proteomics: Coupling microfluidic-based immunofluorescence to high resolution, high sensitivity, three-dimensional analysis of histological slides.

In situ multiplexing analysis and in situ transcriptomics are now providing revolutionary tools to achieve the comprehension of the molecular basis of cancer and to progress towards personalized medicine to fight the disease. The complexity of these tasks requires a continuous interplay among different technologies during all the phases of the experimental procedures. New tools are thus needed and their characterization in terms of performances and limits is mandatory to reach the best resolution and sensitivity. We propose here a new experimental pipeline to obtain an optimized costs-to-benefits ratio thanks to the alternate employment of automated and manual procedures during all the phases of a multiplexing experiment from sample preparation to image collection and analysis. A comparison between ultra-fast and automated immunofluorescence staining and standard staining protocols has been carried out to compare the performances in terms of antigen saturation, background, signal-to-noise ratio and total duration. We then developed specific computational tools to collect data by automated analysis-driven fluorescence microscopy. Computer assisted selection of targeted areas with variable magnification and resolution allows employing confocal microscopy for a 3D high resolution analysis. Spatial resolution and sensitivity were thus maximized in a framework where the amount of stored data and the total requested time for the procedure were optimized and reduced with respect to a standard experimental approach.

Mapping the Immune Landscape in Metastatic Melanoma Reveals Localized Cell-Cell Interactions That Predict Immunotherapy Response.

While immune checkpoint-based immunotherapy (ICI) shows promising clinical results in patients with cancer, only a subset of patients responds favorably. Response to ICI is dictated by complex networks of cellular interactions between malignant and nonmalignant cells. Although insights into the mechanisms that modulate the pivotal antitumoral activity of cytotoxic T cells (Tcy) have recently been gained, much of what has been learned is based on single-cell analyses of dissociated tumor samples, resulting in a lack of critical information about the spatial distribution of relevant cell types. Here, we used multiplexed IHC to spatially characterize the immune landscape of metastatic melanoma from responders and nonresponders to ICI. Such high-dimensional pathology maps showed that Tcy gradually evolve toward an exhausted phenotype as they approach and infiltrate the tumor. Moreover, a key cellular interaction network functionally linked Tcy and PD-L1+ macrophages. Mapping the respective spatial distributions of these two cell populations predicted response to anti-PD-1 immunotherapy with high confidence. These results suggest that baseline measurements of the spatial context should be integrated in the design of predictive biomarkers to identify patients likely to benefit from ICI. SIGNIFICANCE: This study shows that spatial characterization can address the challenge of finding efficient biomarkers, revealing that localization of macrophages and T cells in melanoma predicts patient response to ICI. See related commentary by Smalley and Smalley, p. 3198.