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Probes for INS

ACD can configure probes for the various manual and automated assays for INS for RNAscope Assay, or for Basescope Assay compatible for your species of interest.

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Concordance levels of PD-L1 expression by immunohistochemistry, mRNA in situ hybridization, and outcome in lung carcinomas

Hum Pathol.

2018 Jul 31

Coppock JD, Volaric AK, Mills AM, Gru AA.
PMID: 30075155 | DOI: 10.1016/j.humpath.2018.07.025

Targeted inhibition of programmed cell death-1 (PD-1) and its ligand (PD-L1) has emerged as first-line therapy for advanced non-small cell lung cancer. While patients with high PD-L1 expression have improved outcomes with anti-PD-1/PD-L1 directed therapies, use as a predictive biomarker is complicated by robust responses in some patients with low-level expression. Furthermore, reported PD-L1 levels in lung cancers vary widely and discrepancies exist with different antibodies. PD-L1 expression was thus compared by immunohistochemistry (IHC) versus RNA in situ hybridization (ISH) in 112 lung cancers by tissue microarray: 51 adenocarcinoma, 42 squamous cell carcinoma, 9 adenosquamous carcinoma, 5 carcinoid, 3 undifferentiated large-cell carcinoma, 1 large-cell neuroendocrine carcinoma, and 1 small cell carcinoma. At least 1% tumor cell staining was considered positive in each modality. A positive concordance of only 60% (67/112) was found between IHC and ISH. 50% (56/112) were positive by IHC and 50% (56/112) by ISH, however 20% (22/112) were ISH positive but IHC negative. Conversely, 21% (23/112) were IHC positive but ISH negative. There was no significant stratification of PD-L1 positivity by histologic subtype. A trend of more PD-L1 positive stage I cancers identified by ISH versus IHC was observed, however was not statistically significant [50% (27/54) by IHC and 64% (35/55) by ISH, P=.18]. No significant difference in survival was identified, with an average of 5.3months in IHC versus 5.2months in ISH positive cases. The results demonstrate discordance between PD-L1 RNA levels and protein expression in non-small cell lung cancers, warranting comparison as predictive biomarkers.

Automated Tumour Recognition and Digital Pathology Scoring Unravels New Role for PD-L1 in Predicting Good Outcome in ER-/HER2+ Breast Cancer.

Journal of Oncology (2018)

2018 Dec 17

Humphries MP, Hynes S, Bingham V, Cougot D, James J, Patel-Socha F, Parkes EE, Blayney JK, Rorke MA, Irwin GW, McArt DG, Kennedy RD, Mullan PB, McQuaid S, Salto-Tellez M, Buckley NE.
| DOI: 10.1155/2018/2937012

The role of PD-L1 as a prognostic and predictive biomarker is an area of great interest. However, there is a lack of consensus on how to deliver PD-L1 as a clinical biomarker. At the heart of this conundrum is the subjective scoring of PD-L1 IHC in most studies to date. Current standard scoring systems involve separation of epithelial and inflammatory cells and find clinical significance in different percentages of expression, e.g., above or below 1%. Clearly, an objective, reproducible and accurate approach to PD-L1 scoring would bring a degree of necessary consistency to this landscape. Using a systematic comparison of technologies and the application of QuPath, a digital pathology platform, we show that high PD-L1 expression is associated with improved clinical outcome in Triple Negative breast cancer in the context of standard of care (SoC) chemotherapy, consistent with previous findings. In addition, we demonstrate for the first time that high PD-L1 expression is also associated with better outcome in ER- disease as a whole including HER2+ breast cancer. We demonstrate the influence of antibody choice on quantification and clinical impact with the Ventana antibody (SP142) providing the most robust assay in our hands. Through sampling different regions of the tumour, we show that tumour rich regions display the greatest range of PD-L1 expression and this has the most clinical significance compared to stroma and lymphoid rich areas. Furthermore, we observe that both inflammatory and epithelial PD-L1 expression are associated with improved survival in the context of chemotherapy. Moreover, as seen with PD-L1 inhibitor studies, a low threshold of PD-L1 expression stratifies patient outcome. This emphasises the importance of using digital pathology and precise biomarker quantitation to achieve accurate and reproducible scores that can discriminate low PD-L1 expression.
Critical appraisal of PD-L1 reflex diagnostic testing: current standards and future opportunities.

J Thorac Oncol. 2018 Oct 5.

2018 Oct 05

Humphries MP, McQuaid S, Craig S, Bingham V, Maxwell P, Maurya M, McLean F, Sampson J, Higgins P, Greene C, James J, Salto-Tellez M.
PMID: 30296485 | DOI: 10.1016/j.jtho.2018.09.025

Abstract INTRODUCTION: Patient suitability to anti-PD-L1 immune checkpoint inhibition is key to the treatment of non-small cell lung cancer (NSCLC). We present, applied to PD-L1 testing: a comprehensive cross-validation of two immunohistochemistry (IHC) clones; our descriptive experience in diagnostic reflex testing; the concordance of IHC to in-situ RNA (RNA-ISH); and application of digital pathology. METHODS: 813 NSCLC tumour samples collected from 564 diagnostic samples were analysed prospectively and 249 diagnostic samples analysed retrospectively in TMA format. Validated methods for IHC and RNA-ISH were tested in TMAs and full sections and the QuPath system used for digital pathology analysis. RESULTS: Antibody concordance of clones SP263 and 22C3 validation was 97-98% in squamous cell carcinoma and adenocarcinomas, respectively. Clinical NSCLC cases were reported as PD-L1 negative (48%), 1-49% (23%) and >50% (29%), with differences associated to tissue-type and EGFR status. Comparison of IHC and RNA-ISH was highly concordant in both subgroups. Comparison of digital assessment versus manual assessment was highly concordant. Discrepancies were mostly around the 1% clinical threshold. Challenging IHC interpretation included a) calculating the total tumour cell denominator and the nature of PD-L1 expressing cell aggregates in cytology samples; b) peritumoral expression of positive immune cells; c) calculation of positive tumour percentages around clinical thresholds; d) relevance of the 100 malignant cell rule. CONCLUSIONS: Sample type and EGFR status dictate differences in the expected percentage of PD-L1 expression. Analysis of PD-L1 is challenging, and interpretative guidelines are discussed. PD-L1 evaluation by RNA-ISH and digital pathology appear reliable, particularly in adenocarcinomas.
A spatially resolved atlas of the human lung characterizes a gland-associated immune niche

Nature genetics

2022 Dec 21

Madissoon, E;Oliver, AJ;Kleshchevnikov, V;Wilbrey-Clark, A;Polanski, K;Richoz, N;Ribeiro Orsi, A;Mamanova, L;Bolt, L;Elmentaite, R;Pett, JP;Huang, N;Xu, C;He, P;Dabrowska, M;Pritchard, S;Tuck, L;Prigmore, E;Perera, S;Knights, A;Oszlanczi, A;Hunter, A;Vieira, SF;Patel, M;Lindeboom, RGH;Campos, LS;Matsuo, K;Nakayama, T;Yoshida, M;Worlock, KB;Nikolić, MZ;Georgakopoulos, N;Mahbubani, KT;Saeb-Parsy, K;Bayraktar, OA;Clatworthy, MR;Stegle, O;Kumasaka, N;Teichmann, SA;Meyer, KB;
PMID: 36543915 | DOI: 10.1038/s41588-022-01243-4

Single-cell transcriptomics has allowed unprecedented resolution of cell types/states in the human lung, but their spatial context is less well defined. To (re)define tissue architecture of lung and airways, we profiled five proximal-to-distal locations of healthy human lungs in depth using multi-omic single cell/nuclei and spatial transcriptomics (queryable at lungcellatlas.org ). Using computational data integration and analysis, we extend beyond the suspension cell paradigm and discover macro and micro-anatomical tissue compartments including previously unannotated cell types in the epithelial, vascular, stromal and nerve bundle micro-environments. We identify and implicate peribronchial fibroblasts in lung disease. Importantly, we discover and validate a survival niche for IgA plasma cells in the airway submucosal glands (SMG). We show that gland epithelial cells recruit B cells and IgA plasma cells, and promote longevity and antibody secretion locally through expression of CCL28, APRIL and IL-6. This new 'gland-associated immune niche' has implications for respiratory health.
Diagnostic Utility of PD-L1 Expression in Lung Adenocarcinoma: Immunohistochemistry and RNA In Situ Hybridization.

Appl Immunohistochem Mol Morphol.

2017 Sep 29

Gafeer MM, Hosny Mohammed K, Ormenisan-Gherasim C, Choudhary F, Siddiqui MT, Cohen C.
PMID: 28968265 | DOI: 10.1097/PAI.0000000000000595

Abstract

BACKGROUND:

Programmed death receptor and programmed death ligand (PD-L1) are immunoregulatory proteins. Nonsmall cell lung cancer bypasses the immune system through the induction of protumorigenic immunosuppressive changes. The better understanding of immunology and antitumor immune responses has brought the promising development of novel immunotherapy agents like programmed death receptor checkpoint inhibitors. The aim of this study was to investigate the expression of PD-L1 in lung adenocarcinoma (ADC), comparing 2 different technologies: immunohistochemistry (IHC) by 2 methods versus RNA in situ hybridization (RISH).

METHODOLOGY:

In total, 20 cases of ADC of the lung and 4 samples of metastatic colon ADC were selected. Evaluation of PD-L1 expression was performed by IHC and RISH. RISH was performed using RNAscope. Both methods were scored in tumor cells and quantified using combined intensity and proportion scores.

RESULTS:

Eight of 20 (40%) lung ADC and 2 of 4 (50%) colon ADC were positive for PD-L1 with Cell Signaling IHC, and 65% lung ADC were positive by Dako IHC (13/20). All 4 cases of colon ADC were negative. When evaluated by RISH, 12 lung ADC (60%) and 1 colon ADC (25%) were PD-L1 positive.

CONCLUSIONS:

RNAscope probes provide sensitive and specific detection of PD-L1 in lung ADC. Both IHC methods (Cell Signaling and Dako) show PD-L1 expression, with the Dako method more sensitive (40% vs. 65%). This study illustrates the utility of RISH and Cell Signaling IHC as complementary diagnostic tests, and Food and Drug Administration approved Dako IHC as a companion diagnostic test.

Spatially organized multicellular immune hubs in human colorectal cancer

Cell

2021 Aug 24

Pelka, K;Hofree, M;Chen, JH;Sarkizova, S;Pirl, JD;Jorgji, V;Bejnood, A;Dionne, D;Ge, WH;Xu, KH;Chao, SX;Zollinger, DR;Lieb, DJ;Reeves, JW;Fuhrman, CA;Hoang, ML;Delorey, T;Nguyen, LT;Waldman, J;Klapholz, M;Wakiro, I;Cohen, O;Albers, J;Smillie, CS;Cuoco, MS;Wu, J;Su, MJ;Yeung, J;Vijaykumar, B;Magnuson, AM;Asinovski, N;Moll, T;Goder-Reiser, MN;Applebaum, AS;Brais, LK;DelloStritto, LK;Denning, SL;Phillips, ST;Hill, EK;Meehan, JK;Frederick, DT;Sharova, T;Kanodia, A;Todres, EZ;Jané-Valbuena, J;Biton, M;Izar, B;Lambden, CD;Clancy, TE;Bleday, R;Melnitchouk, N;Irani, J;Kunitake, H;Berger, DL;Srivastava, A;Hornick, JL;Ogino, S;Rotem, A;Vigneau, S;Johnson, BE;Corcoran, RB;Sharpe, AH;Kuchroo, VK;Ng, K;Giannakis, M;Nieman, LT;Boland, GM;Aguirre, AJ;Anderson, AC;Rozenblatt-Rosen, O;Regev, A;Hacohen, N;
PMID: 34450029 | DOI: 10.1016/j.cell.2021.08.003

Immune responses to cancer are highly variable, with mismatch repair-deficient (MMRd) tumors exhibiting more anti-tumor immunity than mismatch repair-proficient (MMRp) tumors. To understand the rules governing these varied responses, we transcriptionally profiled 371,223 cells from colorectal tumors and adjacent normal tissues of 28 MMRp and 34 MMRd individuals. Analysis of 88 cell subsets and their 204 associated gene expression programs revealed extensive transcriptional and spatial remodeling across tumors. To discover hubs of interacting malignant and immune cells, we identified expression programs in different cell types that co-varied across tumors from affected individuals and used spatial profiling to localize coordinated programs. We discovered a myeloid cell-attracting hub at the tumor-luminal interface associated with tissue damage and an MMRd-enriched immune hub within the tumor, with activated T cells together with malignant and myeloid cells expressing T cell-attracting chemokines. By identifying interacting cellular programs, we reveal the logic underlying spatially organized immune-malignant cell networks.
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Description
sense
Example: Hs-LAG3-sense
Standard probes for RNA detection are in antisense. Sense probe is reverse complent to the corresponding antisense probe.
Intron#
Example: Mm-Htt-intron2
Probe targets the indicated intron in the target gene, commonly used for pre-mRNA detection
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Example: Hs-CD3-pool (Hs-CD3D, Hs-CD3E, Hs-CD3G)
A mixture of multiple probe sets targeting multiple genes or transcripts
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Example: Hs-PDGFB-No-XMm
Does not cross detect with the species (Sp)
XSp
Example: Rn-Pde9a-XMm
designed to cross detect with the species (Sp)
O#
Example: Mm-Islr-O1
Alternative design targeting different regions of the same transcript or isoforms
CDS
Example: Hs-SLC31A-CDS
Probe targets the protein-coding sequence only
EnEmProbe targets exons n and m
En-EmProbe targets region from exon n to exon m
Retired Nomenclature
tvn
Example: Hs-LEPR-tv1
Designed to target transcript variant n
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Example: Hs-ACVRL1-ORF
Probe targets open reading frame
UTR
Example: Hs-HTT-UTR-C3
Probe targets the untranslated region (non-protein-coding region) only
5UTR
Example: Hs-GNRHR-5UTR
Probe targets the 5' untranslated region only
3UTR
Example: Rn-Npy1r-3UTR
Probe targets the 3' untranslated region only
Pan
Example: Pool
A mixture of multiple probe sets targeting multiple genes or transcripts

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