Journal: bioRxiv

Article Title: Siglec-engaging immunosuppressive sialoglycans are upregulated in prostate cancer and are targetable to suppress bone metastasis

doi: 10.1101/2025.11.12.687981

Figure Lengend Snippet: ( A ) Analysis of Siglec-engaging sialoglycans using HYDRA immunohistochemistry in a TMA comprising 51 prostate tissue samples shows ligands for Siglec-3 (unpaired t test, p=0.0216), Siglec-7 (unpaired t test, p=0.0143) and Siglec-9 (unpaired t test, p=0.0271) are upregulated in prostate tumour tissue relative to normal prostate tissue. ( B ) Staining a previously published 96 case TMA [ , ] containing 17 normal prostate tissue samples and 79 samples of prostate tumour tissue showed that sialoglycan ligands for Siglec-3 (unpaired t test, p<0.001), Siglec-7 (unpaired t test, p<0.0001) and Siglec-9 (unpaired t test, p0.0171) are found at significantly higher levels in prostate tumours compared to normal prostate tissues. ( C ) HYDRA immunohistochemistry analysis of Siglec-3, -7 and -9 ligands in a previously published 200 case TMA [ , ] containing matched tumour and normal tissues from the same patient. Sialoglycan ligands recognised by Siglec-3 (paired t test, p<0.0001), Siglec-7 (paired t test, p=0.0003) and Siglec-9 (p<0.0001) are significantly increased in prostate cancer tissue relative to matched normal tissue from the same patient. Scale bar is 200□µm.

Article Snippet: TMA cohort 1 : 40 case human prostate cancer TMA was purchased from Novus Bio (NBP2-30169).

Techniques: Immunohistochemistry, Staining

Journal: bioRxiv

Article Title: Siglec-engaging immunosuppressive sialoglycans are upregulated in prostate cancer and are targetable to suppress bone metastasis

doi: 10.1101/2025.11.12.687981

Figure Lengend Snippet: ( A ) HYDRA immunohistochemistry analysis of ligands for Siglec-3, Siglec-7, and Siglec-9 in untreated primary prostate tissue compared to metastatic castrate resistant cancer (CRPC) growing in bone suggests all three sialoglycan ligands are increased in treatment resistant metastatic tumours relative to untreated primary prostate cancer tissues (n=205, unpaired t tests, HYDRA-3 p <0.0001, HYDRA-7 p<0.0001, HYDRA-9 p<0.0001). Scale bar is 200□µm. ( B ) Analysis of Siglec-7 ligands in a TMA generated by the Movember Global Action Plan 1 Unique tissue microarray (GAP1-UTMA) project . HYDRA-7 immunohistochemistry shows Siglec-7 ligands are expressed at similar levels in untreated / hormone naïve primary prostate tumours compared to therapy resistant (CRPC) tissues (n=161, unpaired t test, p=0.0904). Scale bar is 200□µm. ( C ) HYDRA immunohistochemistry analysis of Siglec-7 ligands in a TMA containing primary prostate tissue and rapid autopsy tissue obtained from lethal visceral and bone metastatic tumours . HYDRA-7 Histoscores were significantly higher in lethal bone metastatic prostate tumours compared to unmatched primary prostate tumours (n=238, Welsh’s ANOVA test, p<0.0001). The levels of Siglec-7 ligands were significantly higher in prostate derived tumours growing in bone compared to matched visceral tumour tissue from the same patient (n=100, paired t test, p<0.0001). Scale bar is 200□µm. ( D ) HYDRA-7 immunohistochemistry analysis of Siglec-7 ligands in a 100-case prostate cancer TMA. Stratification of patients based on high and low Siglec-7 ligand levels shows patients with high HYDRA-7 levels (defined as the top 50 th percentile of expression) had significantly poorer survival rates compared to patients with low HYDRA-7 levels (defined as the bottom 50 th percentile of expression) (n=100, Kaplan-Meier regression model, p= 0.0041). Scale bar is 200□µm.

Article Snippet: TMA cohort 1 : 40 case human prostate cancer TMA was purchased from Novus Bio (NBP2-30169).

Techniques: Immunohistochemistry, Generated, Microarray, Derivative Assay, Expressing

Journal: PNAS Nexus

Article Title: AI system for diagnosing mucosa-associated lymphoid tissue lymphoma and diffuse large B cell lymphoma using ImageNet and hematoxylin and eosin–stained specimens

doi: 10.1093/pnasnexus/pgaf137

Figure Lengend Snippet: Process of providing training image data to the AI model. TMAs for DLBCL were stained using H&E, and for BCL6, MUM1, and CD10, IHC was used to acquire essential data for Hans’ classification. Based on the positivity or negativity of these stains, the samples were labeled as either GCB or non-GCB. Each image was captured at 400× magnification. The original images were divided into 16 patch images. From these, patches that lacked sufficient tissue content (A), fibrotic scar tissue (B), adipose tissue (C), or blood vessels (D) were excluded. The remaining images were resized and provided as teacher image data to the model. Scale bars represent 20 µm.

Article Snippet: This study analyzed data from 160 patients, comprising 25 normal lymph nodes (NL), 26 MALT lymphoma, 31 GCB, and 78 non-GCB cases purchased from Biomax tissue microarrays (TMAs) (Fig. and Table ).

Techniques: Staining, Labeling