ABSTRACT
Background: Lymphocytic infiltration at diagnosis is prognostic in EOC, however, the impact of NACT on tumour infiltrating lymphocytes (TILs) or PD-L1 expression remains poorly described. Patients and methods: Patients with EOC and sequential samples (pre-NACT, post-NACT or relapse) were retrospectively identified. TILs were evaluated on whole sections; stromal TILs (sTILs) scored as percentage of stromal area with high sTILs defined as ≥50%; intra-epithelial TILs (ieTILs) scored semi-quantitatively (0-3) with high ieTILs ≥2. A smaller number were available for PD-L1 evaluation, cut-off for positivity was ≥5% staining. Results: sTILs were detected in all tumours at diagnosis (range 2-90%, median 20%), with 22% (25/113) showing high sTILs. Among evaluable paired pre/post-NACT samples (N = 83), an overall increase in median sTILs from 20% to 30% was seen following NACT (P = 0.0005); individually the impact of NACT varied with sTILs increasing in 51% (42/83), decreasing in 25%, and stable in 24%. Post-NACT sTILs were predictive of platinum-free interval (PFI), patients with PFI ≥6 months had significantly higher post-NACT sTILs (sTILs 28% versus 18% for PFI <6 months, P = 0.026); pre-NACT sTILS were not predictive. At diagnosis, 23% showed high ieTILs, and following NACT 33% showed increasing ieTILs. Proportion of tumours with PD-L1-positive immune cells was 30% (15/50) pre-NACT and 53% (27/51) post-NACT (P = 0.026). Among paired tumours, 63% of PD-L1-negative tumours became positive after NACT, furthermore cisplatin induced PD-L1 expression in PD-L1-negative EOC cell lines. On multivariate analysis, high sTILs both pre- and post-NACT were independent prognostic factors for progression-free survival (PFS) (HR 0.49, P = 0.02 and HR 0.60, P = 0.05, respectively). No prognostic impact of ieTILs or PD-L1 expression was detected. Conclusions: In EOC, sTILs levels are prognostic at diagnosis and remain prognostic after NACT. TILs and PD-L1 expression increase following NACT. Evaluation of immune parameters in the post-NACT tumour may help select patients for immunotherapy trials.
Subject(s)
B7-H1 Antigen/genetics , Chemotherapy, Adjuvant , Neoplasm Recurrence, Local/genetics , Neoplasms, Glandular and Epithelial/drug therapy , Ovarian Neoplasms/drug therapy , Adolescent , Adult , Aged , Aged, 80 and over , CD8-Positive T-Lymphocytes/drug effects , Carcinoma, Ovarian Epithelial , Disease-Free Survival , Female , Gene Expression Regulation, Neoplastic/drug effects , Humans , Kaplan-Meier Estimate , Lymphocytes, Tumor-Infiltrating/drug effects , Middle Aged , Neoplasm Recurrence, Local/drug therapy , Neoplasm Recurrence, Local/pathology , Neoplasms, Glandular and Epithelial/genetics , Neoplasms, Glandular and Epithelial/pathology , Ovarian Neoplasms/genetics , Ovarian Neoplasms/pathology , PrognosisABSTRACT
BACKGROUND: The aim of our study was to evaluate the prognostic role of immunological microenvironnement in stage II-III CRC patients. METHODS: We constructed a tissue microarray from 196 consecutive patients with stage II-III CRC and compared CD3, CD4, CD8, CD57, CD68, CXCL9/MIG, CXCL13, and PPARγ immunoreactivity in tumour samples and their matched non-tumour tissue. We assessed their association with relapse-free survival (RFS; primary endpoint) and overall survival (OS) in multivariate Cox models. RESULTS: Low densities of CD57+ and CD68+ tumour-infiltrating cells (TIC) independently predicted worse outcomes. A prognostic score combining CD57 (+, > vs -, ≤2 cells per spot) and CD68 (+, >0 vs -, =0 cells per spot) TIC density discriminated CRC patients at low (CD68+/CD57+), intermediate (CD68+/CD57-), or high (CD68-/CD57-) risk, with hazard ratios for the intermediate-risk and high-risk groups of 2.7 (95% confidence interval (CI): 1.3-5.8) and 9.0 (3.2-25.4) for RFS, and 2.5 (1.2-5.1) and 10.6 (3.8-29.2) for OS, respectively, as compared with the low-risk group. Corresponding 5-year survival rates (95% CI) in the low-, moderate- and high-risk groups were 84% (71-91), 65% (54-74), and 12% (2-47), respectively, for RFS, and 91% (80-96), 76% (66-84), and 25% (7-59), respectively, for OS. CONCLUSION: Tumour CD57+ and CD68+ TIC density assessment independently predicts survival in patients with stage II-III CRC. If validated, our score based on a quick, inexpensive, and well-established method such as point counting on diagnostic tissue sections could be used routinely as a prognostic tool in CRC patients.
Subject(s)
Adenocarcinoma/immunology , Antigens, CD/immunology , Antigens, Differentiation, Myelomonocytic/immunology , CD57 Antigens/immunology , Colorectal Neoplasms/immunology , Lymphocytes, Tumor-Infiltrating/immunology , Macrophages/immunology , Adenocarcinoma/mortality , Adenocarcinoma/pathology , Adult , Aged , Aged, 80 and over , Biomarkers , CD3 Complex/immunology , CD4 Antigens/immunology , CD8 Antigens/immunology , Cell Count , Chemokine CXCL13/immunology , Chemokine CXCL9/immunology , Colorectal Neoplasms/mortality , Colorectal Neoplasms/pathology , Female , Humans , Male , Middle Aged , Neoplasm Staging , PPAR gamma/immunology , Prognosis , Proportional Hazards ModelsABSTRACT
BACKGROUND: Circulating tumour cells (CTCs) can provide information on patient prognosis and treatment efficacy. However, there is no universal method to detect CTC currently available. Here, we compared the performance of two CTC detection systems based on the expression of the EpCAM antigen (CellSearch assay) or on cell size (ISET assay). METHODS: Circulating tumour cells were enumerated in 60 patients with metastatic carcinomas of breast, prostate and lung origins using CellSearch according to the manufacturer's protocol and ISET by studying cytomorphology and immunolabelling with anti-cytokeratin or lineage-specific antibodies. RESULTS: Concordant results were obtained in 55% (11 out of 20) of the patients with breast cancer, in 60% (12 out of 20) of the patients with prostate cancer and in only 20% (4 out of 20) of lung cancer patients. CONCLUSION: Our results highlight important discrepancies between the numbers of CTC enumerated by both techniques. These differences depend mostly on the tumour type. These results suggest that technologies limiting CTC capture to EpCAM-positive cells, may present important limitations, especially in patients with metastatic lung carcinoma.
Subject(s)
Antigens, Neoplasm/metabolism , Cell Adhesion Molecules/metabolism , Cell Count/methods , Neoplasms/blood , Neoplastic Cells, Circulating , Adult , Aged , Aged, 80 and over , Cell Size , Epithelial Cell Adhesion Molecule , Female , Humans , Image Interpretation, Computer-Assisted/methods , Male , Middle Aged , Neoplasm MetastasisABSTRACT
BACKGROUND: Recombinant tumor necrosis factor-alpha (TNF-alpha) combined to melphalan is clinically administered through isolated limb perfusion (ILP) for regionally advanced soft tissue sarcomas of the limbs. In preclinical studies, wild-type p53 gene is involved in the regulation of cytotoxic action of TNF-alpha and loss of p53 function contributes to the resistance of tumour cells to TNF-alpha. The relationship between p53 status and response to TNF-alpha and melphalan in patients undergoing ILP is unknown. PATIENTS AND METHODS: We studied 110 cases of unresectable limbs sarcomas treated by ILP. Immunohistochemistry was carried out using DO7mAb, which reacts with an antigenic determinant from the N-terminal region of both the wild-type and mutant forms of the p53 protein, and PAb1620mAb, which reacts with the 1620 epitope characteristic of the wild-type native conformation of the p53 protein. The immunohistochemistry data were then correlated with various clinical parameters. RESULTS: P53DO7 was found expressed at high levels in 28 patients, whereas PAb1620 was negative in 20. The tumours with poor histological response to ILP with TNF-alpha and melphalan showed significantly higher levels of p53-mutated protein. CONCLUSIONS: Our results might be a clue to a role of p53 protein status in TNF-alpha and melphalan response in clinical use.
Subject(s)
Antineoplastic Combined Chemotherapy Protocols/administration & dosage , Biomarkers, Tumor/analysis , Chemotherapy, Cancer, Regional Perfusion , Sarcoma/chemistry , Sarcoma/drug therapy , Tumor Suppressor Protein p53/analysis , Adolescent , Adult , Aged , Aged, 80 and over , Biomarkers, Tumor/immunology , Child , Disease-Free Survival , Female , Humans , Immunohistochemistry , Kaplan-Meier Estimate , Magnetic Resonance Imaging , Male , Melphalan/administration & dosage , Middle Aged , Mutation, Missense , Sarcoma/pathology , Treatment Outcome , Tumor Necrosis Factor-alpha/administration & dosage , Tumor Suppressor Protein p53/genetics , Tumor Suppressor Protein p53/immunologyABSTRACT
BACKGROUND: Prion protein (PrPc) has been previously reported to be associated with resistance to proapoptotic stimuli. We evaluated whether the expression of PrPc was associated with the resistance to adjuvant chemotherapy in patients with estrogen receptor (ER) -negative breast cancer. PATIENTS AND METHODS: The expression of PrPc by primary tumors was assessed by immunohistochemistry in a series of 756 patients included in two randomized trials that compared anthracycline-based chemotherapy to no chemotherapy. The PrPc expression was correlated with ER expression and the benefit of adjuvant chemotherapy was assessed according to PrPc expression in patients with ER-negative tumors. RESULTS: Immunostaining analysis showed that PrPc was mainly expressed by myoepithelial cells in normal breast tissue. Tissue microarray analysis from 756 breast tumors showed that PrPc was associated with ER-negative breast cancer subsets (P < 0.001). Adjuvant chemotherapy was not associated with a significant risk reduction for death in patients with ER-negative/PrPc-positive disease [adjusted hazard ratio (HR) for death = 0.98, 95% confidence interval (CI) 0.45-2.1, P = 0.95], while it decreased the risk for death (HR = 0.39, 95% CI 0.2-0.74, P = 0.004) in patients with ER-negative/PrPc-negative tumors. CONCLUSION: These data indicate that ER-negative/PrPc-negative phenotype is associated with a high sensitivity to adjuvant chemotherapy.