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Ekanayaka RP, Tilakaratne WM. Impact of histopathological parameters in prognosis of oral squamous cell carcinoma. Oral Dis 2024. [PMID: 38938003 DOI: 10.1111/odi.15035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/18/2024] [Accepted: 05/23/2024] [Indexed: 06/29/2024]
Abstract
OBJECTIVE Squamous cell carcinomas comprise approximately 90% of all oral malignancies. There is a wide geographical variation in the incidence of oral cancer, with South and South East Asia (SSEA) accounting for almost two third of new cases. The prognosis of oral cancer is influenced by a vast array of factors including demographic, clinical, histopathological and molecular factors. The objective this review is to analyse the impact of histopathological features assessed in hematoxylin and eosin stained sections on the prognosis of OSCC. MATERIALS AND METHODS Medline and Scopus data base search was performed in order to identify related articles on histopathological parameters in predicting prognosis of oral squamous cell carcinoma. The primary emphasis is on the studies conducted in SSEA, with an accompanying comparison of their findings with those from research conducted in other parts of the world. RESULTS It has been shown that the number of studies conducted in SSEA is not proportionate to the high prevalence of Oral Cancer in the region. There is no significant difference between the findings from SSEA compared to the rest of the world. It is clearly shown that most histopathological parameters can be accurately used to predict nodal metastasis and prognosis. CONCLUSIONS Histopathological parameters can be used reliably in planning treatment of Oral cancer. Clinicians should combine clinical and histopathological parameters in drawing treatment plan for Oral Cancer.
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Affiliation(s)
- R P Ekanayaka
- Department of Oral Pathology, Faculty of Dental Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - W M Tilakaratne
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
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Chatterjee A, Chaudhary A, Ghosh A, Arun P, Mukherjee G, Arun I, Maitra A, Biswas N, Majumder PP. Overexpression of CD73 is associated with recurrence and poor prognosis of gingivobuccal oral cancer as revealed by transcriptome and deep immune profiling of paired tumor and margin tissues. Cancer Med 2023; 12:16774-16787. [PMID: 37392167 PMCID: PMC10501293 DOI: 10.1002/cam4.6299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/16/2023] [Accepted: 06/18/2023] [Indexed: 07/03/2023] Open
Abstract
BACKGROUND For various cancers, differences in response to treatment and subsequent survival period have been reported to be associated with variation in immune contextures. AIM We sought to identify whether such association exists in respect of gingivobuccal oral cancer. MATERIALS AND METHODS We performed deep immune profiling of tumor and margin tissues collected from 46 treatment naïve, Human Papillomavirus (HPV) negative, patients. Each patient was followed for 24 months and prognosis (recurrence/death) noted. Key findings were validated by comparing with TCGA-HNSC cohort data. RESULTS About 28% of patients showed poor post-treatment prognosis. These patients exhibited a high probability of recurrence even within 1 year and death within 2 years. There was restricted immune cell infiltration in tumor, but not in margin, among these patients. Reduced expression of eight immune-related genes (IRGs) (NT5E, THRA, RBP1, TLR4, ITGA6, BMPR1B, ITGAV, SSTR1) in tumor strongly predicted better quality of prognosis, both in our patient cohort and in TCGA-HNSC cohort. Tumors of patients with better prognosis were associated with (a) lower CD73+ cells with concomitant lower expression level of NT5E/CD73, (b) higher proportions of CD4+ and CD8+ T cells, B cells, NK cells, M1 macrophages, (c) higher %Granzyme+ cells, (d) higher TCR and BCR repertoire diversities. CD73 expression in tumor was associated with low CD8+ and CD4+ T cells, low immune repertoire diversity, and advanced cancer stage. DISCUSSION AND CONCLUSION High infiltration of anti-tumor immune cells in both tumors and margins results in good prognosis, while in patients with minimal infiltration in tumors in spite of high infiltration in margins results in poor prognosis. Targeted CD73 immune-checkpoint inhibition may improve clinical outcome.
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Affiliation(s)
- Ankita Chatterjee
- National Institute of Biomedical GenomicsKalyaniIndia
- John C. Martin Centre for Liver Research and InnovationsKolkataIndia
| | | | - Arnab Ghosh
- National Institute of Biomedical GenomicsKalyaniIndia
| | | | | | | | | | - Nidhan Biswas
- National Institute of Biomedical GenomicsKalyaniIndia
| | - Partha P. Majumder
- National Institute of Biomedical GenomicsKalyaniIndia
- John C. Martin Centre for Liver Research and InnovationsKolkataIndia
- Indian Statistical InstituteKolkataIndia
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Tumour-infiltrating lymphocytes in oropharyngeal cancer: a validation study according to the criteria of the International Immuno-Oncology Biomarker Working Group. Br J Cancer 2022; 126:1589-1594. [PMID: 35043007 PMCID: PMC9130301 DOI: 10.1038/s41416-022-01708-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 12/16/2021] [Accepted: 01/10/2022] [Indexed: 12/28/2022] Open
Abstract
Background The evaluation of immune response can aid in prediction of cancer behaviour. Here, we assessed the prognostic significance of tumour-infiltrating lymphocytes (TILs) in oropharyngeal squamous cell carcinoma (OPSCC). Methods A total of 182 patients treated for OPSCC were included in this study. Assessment of TILs was conducted on tumour sections stained with standard haematoxylin and eosin (HE) staining. We used the scoring criteria proposed by the International Immuno-Oncology Biomarker Working Group. Results The multivariable analysis showed that TILs associated with disease-specific survival with a hazard ratio (HR) of 2.13 (95% CI 1.14–3.96; P = 0.017). Similarly, TILs associated significantly with overall survival with HR of 1.87 (95% CI 1.11–3.13; P = 0.018). In a sub-analysis of HPV-positive and HPV-negative cases separately, TILs showed a significant prognostic value in both groups (P < 0.05). Conclusion The evaluation of TILs as proposed by the International Immuno-Oncology Biomarker Working Group is a simple and promising method in prediction of survival of OPSCC. It is easily applicable and after further validation can be implemented in the routine pathological report as a basic immune parameter.
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Xu Y, Lou X, Liang Y, Zhang S, Yang S, Chen Q, Xu Z, Zhao M, Li Z, Zhao K, Liu Z. Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density. J Inflamm Res 2021; 14:5891-5899. [PMID: 34785927 PMCID: PMC8591410 DOI: 10.2147/jir.s342214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 10/29/2021] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Accumulating evidence revealed the predictive value of tumor-infiltrating lymphocytes (TILs) for neoadjuvant chemoradiotherapy (nCRT) response in solid tumors. This study quantified TILs density using hematoxylin and eosin (H&E) stained whole-slide images (WSIs) and investigated the predictive value of TILs density on nCRT response in locally advanced rectal cancer (LARC) patients. PATIENTS AND METHODS Two hundred and ten patients diagnosed with LARC were enrolled in this study. The density of TILs in the stroma region was quantified by a semi-automatic method in WSIs. Patients were stratified into low-TILs and high-TILs groups using the median value as the threshold. The tumor regression grade (TRG) was used to assess the response to nCRT in tumor resected specimens. Based on TRG, patients were classified into major-responder (TRG 0-1) and non-responder (TRG 2-3) groups. RESULTS The TILs density was significantly correlated with the nCRT response. Specifically, patients with high-TILs tend to have a higher major-responder rate than the low-TILs group (63.8% vs 47.6%, P = 0.026). Univariate analysis showed the TILs density was a predictor for the nCRT response (high vs low, odds ratio [OR] =1.94, 95% confidence interval 1.12-3.37, P = 0.019), and multivariate analysis further confirmed the correlation (adjusted odds ratio [AOR] = 2.41, 1.28-4.56, P = 0.007). CONCLUSION Patients with a high-TIL density have a higher major-responder rate than the low-TILs group, indicating patients with a strong immune response benefit more from nCRT. This semi-automatic method can facilitate the individualized preoperative prediction of the TRG for LARC patients before nCRT.
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Affiliation(s)
- Yao Xu
- School of Medicine, South China University of Technology, Guangzhou, 510006, People’s Republic of China
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China
| | - Xiaoying Lou
- Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510665, People’s Republic of China
| | - Yanting Liang
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China
| | - Shenyan Zhang
- Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510665, People’s Republic of China
| | - Shangqing Yang
- School of Life Science and Technology, Xidian University, Xian, 710071, People’s Republic of China
| | - Qicong Chen
- Institute of Computing Science and Technology, Guangzhou University, Guangzhou, 510006, People’s Republic of China
| | - Zeyan Xu
- School of Medicine, South China University of Technology, Guangzhou, 510006, People’s Republic of China
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China
| | - Minning Zhao
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510080, People’s Republic of China
| | - Zhenhui Li
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, People’s Republic of China
| | - Ke Zhao
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China
| | - Zaiyi Liu
- School of Medicine, South China University of Technology, Guangzhou, 510006, People’s Republic of China
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China
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