Abstract 921P
Background
Incidence of oropharyngeal squamous cell carcinoma (OPSCC) increases due to rise in human papilloma virus (HPV) related cancers. The tumor microenvironment (TME) of HPV+ OPSCC is characterized as more immune tolerant, with higher density of tumor-infiltrating lymphocytes (TILs). The role of tumor-associated macrophages (TAMs) remains unclear. M2-like TAMs are correlated with impaired overall survival (OS) in other tumor types. This study characterizes the prognostic impact of M2-like TAMs in OPSCC.
Methods
Fifty-eight patients with primary OPSCC, undergoing definite treatment (surgery, radiotherapy, chemoradiotherapy or a combination), were included. FFPE samples were stained for P16, TILs (CD3, CD8, FOXP3) and TAMs (CD68, CD163 and CD206) markers. Semi-quantitative assessment of each marker, in the tumor nest(t) and stroma(s), was executed by a board certified pathologist. Survival estimates were calculated via the Kaplan-Meier method using the log-rank test, using the ad hoc calculated cut-off point. Uni- and multivariate analysis were performed via cox proportional hazard model.
Results
The median density of sCD3, sCD8, tCD68 and sCD206 TAMs was higher in P16+, compared to P16–, whereas FOXP3 and CD163 infiltration was similar according to P16 status. In univariate analysis, tumors with high leukocyte infiltrates (sTIL, sCD8, tCD8, sFOXP3, tCD68, sCD206) had a better overall survival (OS), whereas sTIL-high and tCD8-high were the only factors associated with DFS. High tCD68 (HR 0.19) and sCD206 (HR 0.40) were associated with improved OS in P16+ OPSCC, but not in P16-. sCD163 and tCD163 infiltration was not related to adverse outcomes in P16+ nor in P16-. Table: 921P
Clinical and immunohistochemical characteristics
| P16- | P16+ | p value | |
| N | 39 | 19 | |
| mean Age (y, SD) | 58.8y (8.0) | 59.8y (8.8) | 0.65 |
| mDFS (months, 95%CI) | 14.4m (7.8-48)* | 158m (30-NR)* | ConclusionsIn this study, high tCD68 and sCD206 expression was associated with a better OS in OPSCC, albeit only in P16+ tumors. No concordance was found between CD163 and CD206 expression and both had a different prognostic impact. This illustrates the complexity of TIL-TAM interplay and the TAM spectrum diversity. Clinical trial identificationEditorial acknowledgementLegal entity responsible for the studyGhent University Hospital. FundingGhent University Hospital Fonds voor Innovatie en Klinisch Onderzoek (FIKO). DisclosureM. Saerens: Financial Interests, Institutional, Invited Speaker: Pierre-Fabre, BMS, MSD; Financial Interests, Institutional, Advisory Board: Novartis, MSD. S. Rottey: Financial Interests, Institutional, Advisory Board: Pfizer, Merck, Roche, Ipsen, BMS; Financial Interests, Institutional, Invited Speaker: Ipsen, BMS, Astellas; Financial Interests, Institutional, Research Grant: MSD, Roche, BMS; Non-Financial Interests, Principal Investigator, It is my main task in the hospital to attract and perform clinical trials in oncology phase I-III: all companies performing clinical trials in oncology in Europe. All other authors have declared no conflicts of interest. Resources from the same session928P - Radiomic analysis based on machine learning of multi-MR sequences to assess early treatment response in locally advanced nasopharyngeal carcinomaPresenter: Lei Qiu Session: Poster session 03 929P - Advanced laryngeal squamous cell carcinoma prognosis and machine learning insightsPresenter: Tala Alshwayyat Session: Poster session 03 Resources: Abstract 930P - Real-world data analysis of oncological outcomes in patients with pathological extranodal extension (ENE) in OSCC: A proposal to refine the pathological nodal staging systemPresenter: Abhinav Thaduri Session: Poster session 03 931P - Deep learning models for predicting short-term efficacy in locally advanced nasopharyngeal carcinomaPresenter: Kexin Shi Session: Poster session 03 932P - Accuracy and prognostic implications of extranodal extension on radiologic imaging in HPV-positive oropharyngeal cancer (HNCIG-ENE): A multinational, real-world studyPresenter: Hisham Mehanna Session: Poster session 03 933P - Prediction of survival in patients with head and neck merkel cell carcinoma: Statistical and machine-learning approachesPresenter: Jehad Yasin Session: Poster session 03 934P - Harnessing artificial intelligence on real-world data to predict recurrence in head and neck squamous cell carcinoma patients: The HNC-TACTIC studyPresenter: Hisham Mehanna Session: Poster session 03 936P - Chronic pain in cancer survivors: Head and neck versus other cancersPresenter: Rong Jiang Session: Poster session 03 937P - Pain, fatigue and depression symptom cluster in head and neck cancer survivorsPresenter: Iakov Bolnykh Session: Poster session 03 This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used. For more detailed information on the cookies we use, please check our Privacy Policy.
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