Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial.

BACKGROUND: We aim to implement an immune cell score model in routine clinical practice for resected non-small-cell lung cancer (NSCLC) patients (NCT03299478). Molecular and genomic features associated with immune phenotypes in NSCLC have not been explored in detail. PATIENTS AND METHODS: We developed a machine learning (ML)-based model to classify tumors into one of three categories: inflamed, altered, and desert, based on the spatial distribution of CD8+ T cells in two prospective (n = 453; TNM-I trial) and retrospective (n = 481) stage I-IIIA NSCLC surgical cohorts. NanoString assays and targeted gene panel sequencing were used to evaluate the association of gene expression and mutations with immune phenotypes. RESULTS: Among the total of 934 patients, 24.4% of tumors were classified as inflamed, 51.3% as altered, and 24.3% as desert. There were significant associations between ML-derived immune phenotypes and adaptive immunity gene expression signatures. We identified a strong association of the nuclear factor-κB pathway and CD8+ T-cell exclusion through a positive enrichment in the desert phenotype. KEAP1 [odds ratio (OR) 0.27, Q = 0.02] and STK11 (OR 0.39, Q = 0.04) were significantly co-mutated in non-inflamed lung adenocarcinoma (LUAD) compared to the inflamed phenotype. In the retrospective cohort, the inflamed phenotype was an independent prognostic factor for prolonged disease-specific survival and time to recurrence (hazard ratio 0.61, P = 0.01 and 0.65, P = 0.02, respectively). CONCLUSIONS: ML-based immune phenotyping by spatial distribution of T cells in resected NSCLC is able to identify patients at greater risk of disease recurrence after surgical resection. LUADs with concurrent KEAP1 and STK11 mutations are enriched for altered and desert immune phenotypes.

Strategies for clinical implementation of TNM-Immunoscore in resected nonsmall-cell lung cancer.

Immunoscore is a prognostic tool defined to quantify in situ immune cell infiltrates and appears highly promising as a supplement to the tumor-node-metastasis (TNM) classification of various tumors. In colorectal cancer, an international task force has initiated prospective multicenter studies aiming to implement TNM-Immunoscore (TNM-I) in a routine clinical setting. In breast cancer, recommendations for the evaluation of tumor-infiltrating lymphocytes (TILs) have been proposed by an international working group. Regardless of promising results, there are potential obstacles related to implementing TNM-I into the clinic. Diverse methods may be needed for different malignancies and even within each cancer entity. Nevertheless, a uniform approach across malignancies would be advantageous. In nonsmall-cell lung cancer (NSCLC), there are several previous reports indicating an apparent prognostic importance of TILs, but studies on TILs in a TNM-I setting are sparse and no general recommendations are made. However, recently published data is promising, evoking a realistic hope of a clinical useful NSCLC TNM-I. This review will focus on the TNM-I potential in NSCLC and propose strategies for clinical implementation of a TNM-I in resected NSCLC.

High expression of miR-17-5p in tumor epithelium is a predictor for poor prognosis for prostate cancer patients.

MicroRNAs (miRs) are small non-coding RNA molecules, which are involved in the development of various malignancies, including prostate cancer (PCa). miR-17-5p is considered the most prominent member of the miR-17-92 cluster, with an essential regulatory function of fundamental cellular processes. In many malignancies, up-regulation of miR-17-5p is associated with worse outcome. In PCa, miR-17-5p has been reported to increase cell proliferation and the risk of metastasis. In this study, prostatectomy specimens from 535 patients were collected. Tissue microarrays were constructed and in situ hybridization was performed, followed by scoring of miR-17-5p expression on different tumor compartments. High expression of miR-17-5p in tumor epithelium was associated with biochemical failure (BF, p < 0.001) and clinical failure (CF, p = 0.019). In multivariate analyses, high miR-17-5p expression in tumor epithelial cells was an independent negative prognostic factor for BF (HR 1.87, 95% CI 1.32-2.67, p < 0.001). In vitro analyses confirmed association between overexpression of miR-17-5p and proliferation, migration and invasion in prostate cancer cell lines (PC3 and DU145). In conclusion, our study suggests that a high cancer cell expression of miR-17-5p was an independent negative prognostic factor in PCa.

Low Expression of miR-424-3p is Highly Correlated with Clinical Failure in Prostate Cancer.

Prostate cancer (PC) is a highly heterogenous disease and one of the leading causes of mortality in developed countries. Recently, studies have shown that expression of immune checkpoint proteins are directly or indirectly repressed by microRNAs (miRs) in many types of cancers. The great advantages of using miRs based therapy is the capacity of these short transcripts to target multiple molecules for the same- or different pathways with synergistic immune inhibition effects. miR-424 has previously been described as a biomarker of poor prognosis in different types of cancers. miR-424 is also found to target both the CTLA-4/CD80- and PD-1/PD-L1 axis. In the present study, the clinical significance of miR-424-3p expression in PC tissue was evaluated. Naïve radical prostatectomy specimens from 535 patients was used for tissue microarray construction. In situ hybridization was used to evaluate the expression of miR-424-3p and immunohistochemistry was used for CTLA-4 protein detection. In univariate- and multivariate analyses, low expression of miR-424-3p was significant associated with clinical failure-free survival, (p = 0.004) and p = 0.018 (HR:0.44, CI95% 0.22-0.87). Low expression of miR-424-3p also associated strongly with aggressive phenotype of PC. This highlight the importance of miR-424-3p as potential target for therapeutic treatment in prostate cancer.

The prognostic impact of M-CSF, CSF-1 receptor, CD68 and CD3 in prostatic carcinoma.

AIMS: Macrophage colony-stimulating factor (M-CSF) binds to colony-stimulating factor-1 receptor (CSF-1R) and stimulates proliferation and differentiation of monocytes, macrophages and their bone marrow progenitors. M-CSF, CSF-1R, the macrophage marker CD68, and the pan T-lymphocyte marker CD3 are increased in many human cancers. Their prognostic importance in primary prostatic carcinoma has not been fully delineated. The aim was to compare the expression of M-CSF, CSF-1R, CD68 and CD3 in metastatic and non-metastatic prostatic cancer. METHODS AND RESULTS: Digital video analysis of tumour cell areas and tumour stromal areas was performed in 59 cancer specimens: 32 patients with metastases and 27 patients without metastases. Expression of M-CSF and CSF-1R was recorded as 0 (negative immunoreactivity), 1 (weak), 2 (moderate) or 3 (strong reactivity). Macrophages (CD68) and T lymphocytes (CD3) were detected as proportions of moderately or strongly immunoreactive cells. Patients with metastatic primary cancers showed higher expression of M-CSF (P < 0.0001, P = 0.005), CSF-1R (both P < 0.0001) and CD3 (P = 0.007, P < 0.0001) in both tumour cell areas and tumour stromal areas, compared with the non-metastatic cancers. CONCLUSION: This study suggests that expression of M-CSF, CSF-1R and CD3 is a significant prognostic factor in primary prostatic cancers by predicting the development of metastases.

Significant expression of IGFBP2 in breast cancer compared with benign lesions.

BACKGROUND/AIM: Insulin-like growth factors (IGFs) and IGF binding proteins (IGFBPs) play a role in the normal development of breast tissue, and possibly in breast cancer aetiology. IGFBP2, one of six members of the IGFBP superfamily, acts as regulator of the IGFs and has pleiotropic effects in normal and neoplastic tissues. Because IGFs have mitogenic effects on mammary epithelia, this study investigated IGFBP2 expression in mammary tissues of different benign and malignant entities. METHODS: Immunohistochemistry was used to study correlations between the presence and intensity of IGFBP2 staining and tumour type and grade, in addition to steroid hormone receptor status, in 120 breast specimens. Expression was measured by quantitative colour video image analysis and semiquantitative evaluation, and the measurements correlated well (r = 0.92; p<0.05). RESULTS: Both methods found no significant expression of IGFBP2 in normal glandular cells and hyperplasia (group I). Atypical hyperplasia showed a slightly increased cytoplasmic expression of IGFBP2, and carcinoma in situ showed a distinctive, membrane associated and cytoplasmic expression (group II). Infiltrating carcinomas strongly expressed cytoplasmic IGFBP2 (group III). There were significant differences between group I and II, and between group II and III. There were no significant differences between invasive lobular and invasive ductal carcinoma, or between grades I, II, and III within these entities. There was no significant correlation between IGFBP2 immunostaining and oestrogen or progesterone receptor positivity within the malignant group. CONCLUSIONS: IGFBP2 mitogenic signals of autocrine/paracrine regulatory mechanisms may be responsible for the growth of breast carcinomas and IGFBP2 may be an independent indicator of malignancy.