| Literature DB >> 30377339 |
Lars Mortimer Schiffmann1,2,3, Melanie Fritsch4, Florian Gebauer5,6, Saskia Diana Günther4, Neil Richard Stair4, Jens Michael Seeger4, Fabinshy Thangarajah7, Georg Dieplinger5,6, Marc Bludau5,6, Hakan Alakus5,6, Heike Göbel6,8, Alexander Quaas6,8, Thomas Zander6,9, Frank Hilberg10, Christiane Josephine Bruns5,6, Hamid Kashkar4,6, Oliver Coutelle4.
Abstract
BACKGROUND: Immune infiltration is implicated in the development of acquired resistance to anti-angiogenic cancer therapy. We therefore investigated the correlation between neutrophil infiltration in metastasis of colorectal cancer (CRC) patients and survival after treatment with bevacizumab. Our study identifies CD177+ tumour neutrophil infiltration as an adverse prognostic factor for bevacizumab treatment. We further demonstrate that a novel anti-VEGF/anti-Ang2 compound (BI-880) can overcome resistance to VEGF inhibition in experimental tumour models.Entities:
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Year: 2018 PMID: 30377339 PMCID: PMC6325148 DOI: 10.1038/s41416-018-0198-3
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Fig. 5BI-880 overcomes anti-VEGF resistance in LLC tumours. a Schematic depicting treatment schedule. b Tumour growth of syngeneic LLC tumours subjected to vehicle, anti-VEGF (B20), anti-VEGF/anti-Ang2 (B20/BI-880) or anti-VEGF/anti-neutrophil (B20/anti-Ly6G antibody) treatment. c Representative 100× images depicting vascularisation of LLC tumour sections stained with FITC-CD31 (green) and quantification of vessel density. d Images of xenograft-infiltrating neutrophils (Ly6G/C red, 100×) and quantification thereof. e H&E staining of tumour sections and quantification of tumour necrosis (scale bar 2000 µm); *p < 0.05. **p < 0.01, n.s. not significant
Fig. 1Survival of different subgroups of colorectal cancer (CRC) patients. a Schematic depicting criteria for inclusion in the retrospective analysis and b representative images of CD177− or CD177+ scored metastases. c Kaplan–Meier curves of patients who received bev in their history stratified for CD177 score on TMAs of CRC metastasis (lymph node and organ metastases) or d who received a bev-free treatment regimen in their history stratified for CD177 score on TMAs of metastasis (lymph node and organ metastases). e–g Survival curves of samples derived from e lymph node metastases only or f liver metastases or g lung and liver metastases. The p values were determined by log-rank testing
Basic characteristics of studied patients
| Ctx | Bev |
| |
|---|---|---|---|
| Metastatic patients | 39 | 46 | |
| Sex | |||
| Female | 12 | 14 | 1 |
| Male | 27 | 32 | |
| Age at diagnosis | 59.3 | 58.7 | 0.82 |
| Stage (UICC) | |||
| I–III | 0 | 0 | 1 |
| IV | 39 | 46 | |
| Distribution of metastatic sites | |||
| Nodal | 23 | 20 | 0.051 |
| Liver | 9 | 22 | |
| Lung | 7 | 4 | |
| Mean follow-up (months) | 88.6 | 87.4 | 0.88 |
| Average no. of treatment lines | 1.79 | 2.54 | 0.008 |
| Patients with available primary tumour material | 25 | 17 | |
| Localisation of the primary tumour | |||
| Rectum | 11 | 4 | 0.391 |
| Rectosigmoid, sigma, colon descendens | 8 | 7 | |
| Colon ascendens | 6 | 6 | |
| Initial T stage | |||
| pT1 | 0 | 0 | 0.706 |
| pT2 | 1 | 0 | |
| pT3 | 14 | 10 | |
| pT4 | 10 | 7 | |
| Initial N stage | |||
| pN0 | 2 | 2 | 0.753 |
| pN1 | 10 | 5 | |
| pN2 | 13 | 10 | |
| Liver resection | |||
| Yes | 16 | 30 | 0.033 |
| No | 21 | 15 | |
| N.A. | 2 | 1 | |
Ctx chemotherapy only, Bev chemotherapy plus bevacizumab, UICC union internationale contre le cancer
Fig. 2Effect on LS174T tumour growth and vascularisation. a Schematic depicting animal experimental procedure. b Growth curves of subcutaneous LS174T xenograft tumours. Tumour-bearing mice were treated with either vehicle, bev or BI-880 (4 mg/kg or 16 mg/kg) for 14 days. c Representative 100× images depicting vascularisation of LS174T tumour sections stained with CD31 (red). d Quantification of vessel density. *p < 0.05, **p < 0.01
Fig. 3Impact on hypoxia, cell death and neutrophil invasion in colorectal cancer xenografts. a Images (40×) of hypoxic tumour area (pimonidazole adducts, green), tumour cell death (cl. caspase-3, red) and adjacent blood vessels (CD31, purple). b Quantification of overall tumour hypoxia c haematoxylin and eosin (H&E) staining of tumour sections depicting necrotic tumour area and d quantification of tumour cell death and e cell death/hypoxia ratio. f Images of xenograft-infiltrating neutrophils (Ly6G/C red, 100×) and g quantification thereof; h quantification of tumour-infiltrating neutrophils in the transition zone from hypoxia to necrotic tissue. *p < 0.05, **p < 0.01, n.s. not significant
Fig. 4Treatment-induced vessel normalisation. a Images of FITC-dextran (green) perfused tumour blood vessels (purple) and b quantification of vascular leakage. c High-magnification images (600×) of VE-Cadherin (grey) stained tumour vessel endothelium and d quantification of tight-junction integrity. e High-magnification images (600×) of tumour blood vessels stained for CD31 (green, EC) and NG2 (red, pericytes) and f quantification of NG2 pericyte coverage and g quantification of PDGFRβ pericyte coverage. *p < 0.05, **p < 0.01, n.s. not significant