Immunoscore Research Articles

Prognostic significance of CD3+ and CD8+ T-cells immunoscore in renal cell carcinoma: Comparison between two simple models for assessment

The immunoscore (ISc) has been extensively investigated as a prognostic indicator for numerous solid tumors. In renal cell carcinoma (RCC), its prognostic significance has been evaluated in a small number of studies. This study was designed to ascertain the predictive value of immunoscore based on CD3+ and CD8+ T cells in patients with RCC. This study included 115 non-metastatic RCC patients who underwent nephrectomy. The ISc was obtained by estimating the densities of CD3+ and CD8+ cells at the invasive margin and center of the tumor using two methods: cell count per square millimeter (cell count/mm2) and percentage of cells per square millimeter (% of cells/mm2). The patients were categorized into low and high groups according to the ISc. The associations between the ISc and clinicopathological characters, including survival, were analyzed statistically. Adverse clinicopathologic factors were significantly associated with high ISc. Patients with high ISc had significantly worse overall survival (OS) and disease-free survival (DFS) rates over three years (p < 0.001). High ISc was considered a predictor of shortened DFS in univariate analysis (p < 0.001). However, in multivariate analysis, it was a dependent predictor. High ISc could help identify individuals more likely to develop recurrence and may impact treatment strategy for more effective personalized care. Moreover, establishing a modified objective, automated, digital quantification method of immune cells (% of cells/mm2 instead of cell count/mm2) is expected to be simple to implement in routine, highly affordable, time efficient, clinically meaningful, and will improve assay performance.

Contribution of Immunoscore to Survival Prediction in Pancreatic Ductal Adenocarcinoma.

The presence of tumor-infiltrating lymphocytes (TILs) has been demonstrated as a prognostic factor in colorectal cancer after surgical resection of malignancy, but knowledge on their role in pancreatic cancer is lacking. The Immunoscore (IS) assesses TILs at the core of the tumor (CT) and invasive margin (IM) and is being evaluated as a new concept in tumor immunity. The aim of this study was to evaluate the relationship between IS and prognosis in PDAC. The IS was analyzed by immunohistochemistry using surgical tissue blocks from 131 patients with pancreatic ductal adenocarcinoma (PDAC) who underwent surgery to investigate the relationship between immune cell infiltration into the tumor and prognosis in PDAC. A high IS in both CT and IM of the tumor was significantly associated with prolonged overall survival (OS) (p<0.01) and relapse-free survival (RFS) (p<0.01). In multivariate logistic regression models adjusted for clinical pathology data, IS predicted survival and recurrence (p<0.01 and p<0.01, respectively). Moreover, in patients who received preoperative chemotherapy, a high IS was statistically significantly associated with longer OS and RFS (p<0.01 and p<0.01, respectively). The immunohistochemically assessed IS might be a useful prognostic marker for patients with PDAC who underwent primary tumor resection.

Digital Pathology for Better Clinical Practice.

(1) Background: Digital pathology (DP) is transforming the landscape of clinical practice, offering a revolutionary approach to traditional pathology analysis and diagnosis. (2) Methods: This innovative technology involves the digitization of traditional glass slides which enables pathologists to access, analyze, and share high-resolution whole-slide images (WSI) of tissue specimens in a digital format. By integrating cutting-edge imaging technology with advanced software, DP promises to enhance clinical practice in numerous ways. DP not only improves quality assurance and standardization but also allows remote collaboration among experts for a more accurate diagnosis. Artificial intelligence (AI) in pathology significantly improves cancer diagnosis, classification, and prognosis by automating various tasks. It also enhances the spatial analysis of tumor microenvironment (TME) and enables the discovery of new biomarkers, advancing their translation for therapeutic applications. (3) Results: The AI-driven immune assays, Immunoscore (IS) and Immunoscore-Immune Checkpoint (IS-IC), have emerged as powerful tools for improving cancer diagnosis, prognosis, and treatment selection by assessing the tumor immune contexture in cancer patients. Digital IS quantitative assessment performed on hematoxylin-eosin (H&E) and CD3+/CD8+ stained slides from colon cancer patients has proven to be more reproducible, concordant, and reliable than expert pathologists' evaluation of immune response. Outperforming traditional staging systems, IS demonstrated robust potential to enhance treatment efficiency in clinical practice, ultimately advancing cancer patient care. Certainly, addressing the challenges DP has encountered is essential to ensure its successful integration into clinical guidelines and its implementation into clinical use. (4) Conclusion: The ongoing progress in DP holds the potential to revolutionize pathology practices, emphasizing the need to incorporate powerful AI technologies, including IS, into clinical settings to enhance personalized cancer therapy.

Immunochemistry-based quantification of tumor-infiltrating lymphocytes and immunoscore as prognostic biomarkers in bladder cancer

BackgroundTumor-infiltrating lymphocytes (TILs) and the derived immunoscore (IS) have gained considerable attention over the last decade as prognostic markers in many solid cancers. However, in bladder cancer (BC), their prognostic value is not clearly established.MethodsThe present study aimed to quantify the TILs rates in BC, assess the derived immunoscore, and investigate their prognostic value. An immunochemistry-based quantification of the different subtypes of TILS was performed on paraffin-embedded blocks from patients with invasive urothelial carcinoma of the bladder. We have assessed the rates of TILs, respectively, on peri-tumoral (PT) and intra-tumoral (IT) areas and calculated for each case the corresponding IS which is the index: CD8+/CD3+ TILs. The IS was then classified as low (I0, I1) or high (I2, I3, I4). We included 30 cases in the analysis.ResultsThe median age of patients was 65 years with a sex ratio of 9. TILs densities and distribution were significantly variable between IT and PT areas CD3+ (p = 0.03) and CD8+ (p = 0.004) with the highest rates on the PT areas. In univariate analysis, a low density of CD8+ TILs was significantly associated with an advanced age (p = 0.05), with the presence of lympho-vascular invasion (p = 0.02) and with the absence of specific histological subtype (p = 0.05). A low immunoscore was significantly associated with the presence of lympho-vascular invasion (p = 0.004). No significant association was found between TILs subpopulations, the IS, and the other clinicopathological and survival data. The overall survival (OS) and disease-free survival (DFS) medians were slightly superior in highly T (CD3+/CD8+)-cell infiltrated tumors as well as tumors with a high IS densities. However, the univariate analysis showed that TILs and immunoscore did not impact overall survival (OS) and disease-free survival (DFS).ConclusionTILs and immunoscore might be effective prognostic tools in BC. However, standardized quantification methods and further investigation on larger samples are highly recommended to definitively attest the prognostic value of TILs and IS in BC.

Prognostic and Predictive Value of Immunoscore in Stage III Colorectal Cancer: Pooled Analysis of Cases From the SCOT and IDEA-HORG Studies.

Immunoscore (IS) is prognostic in stage III colorectal cancer (CRC) and may predict benefit of duration (6 v 3 months) of adjuvant infusional fluorouracil, leucovorin, and oxaliplatin (FOLFOX) chemotherapy. We sought to determine IS prognostic and predictive value in stage-III CRC treated with adjuvant FOLFOX or oral capecitabine and infusional oxaliplatin (CAPOX) in the SCOT and IDEA-HORG trials. Three thousand sixty-one cases had tumor samples, of which 2,643 (1,792 CAPOX) were eligible for IS testing. Predefined cutoffs (IS-Low and IS-High) were used to classify cases into two groups for analysis of disease-free survival (3-year DFS) and multivariable-adjusted hazard ratios (mvHRs) by Cox regression. IS was determined in 2,608 (99.5%) eligible cases, with 877 (33.7%) samples classified as IS-Low. IS-Low tumors were more commonly high-risk (T4 and/or N2; 52.9% IS-Low v 42.2% IS-High; P < .001) and in younger patients (P = .024). Patients with IS-Low tumors had significantly shorter DFS in the CAPOX, FOLFOX, and combined cohorts (mvHR, 1.52 [95% CI, 1.28 to 1.82]; mvHR, 1.58 [95% CI, 1.22 to 2.04]; and mvHR, 1.55 [95% CI, 1.34 to 1.79], respectively; P < .001 all comparisons), regardless of sex, BMI, clinical risk group, tumor location, treatment duration, or chemotherapy regimen. IS prognostic value was greater in younger (≤65 years) than older (>65 years) patients in the CAPOX cohort (mvHR, 1.92 [95% CI, 1.50 to 2.46] v 1.28 [95% CI, 1.01 to 1.63], PINTERACTION = .026), and in DNA mismatch repair proficient than deficient mismatch repair disease (mvHR, 1.68 [95% CI, 1.41 to 2.00] v 0.67 [95% CI, 0.30 to 1.49], PINTERACTION = .03), although these exploratory analyses were uncorrected for multiple testing. Adding IS to a model containing all clinical variables significantly improved prediction of DFS (likelihood ratio test, P < .001) regardless of MMR status. IS is prognostic in stage III CRC treated with FOLFOX or CAPOX, including within clinically relevant tumor subgroups. Possible variation in IS prognostic value by age and MMR status, and prediction of benefit from extended adjuvant therapy merit validation.

Immunoscore in urothelial carcinoma as a prognostic predictor and its relation to grading and staging

Background There is growing evidence that the immune system plays a major role in hindering tumor advancement. Tissue densities of CD3+ T lymphocytes and CD8+ cytotoxic T lymphocytes have been used to establish an Immunoscore (IS). It has been proven to be a robust prognostic tool in colorectal cancer, but it is not well investigated yet in bladder urothelial carcinoma. Aim We aimed to correlate IS in urothelial carcinoma with the different clinicopathologic parameters, to examine its validity and possible role in bladder urothelial carcinoma. Patients and method Forty cases of archived paraffin sections from patients diagnosed with bladder invasive urothelial carcinoma and underwent radical cystectomy, were examined for CD3+ and CD8+ by immunohistochemical means. Then, cell densities were measured in tumor core and invasive margins using the image analysis system. The correlations were evaluated between Immunoscore (IS) and characteristics of the included patients and tumor. Results IS and tumor stage had a significant connection (P=0.04), showing an inverse relationship, where elevated IS was seen in low T stages. T stages I and II had high IS values, while IS values tended to decrease in stages III and IV. alternately, no correlation has been detected between IS and any of (Patients’ age, sex, tumor size, site, histological type, gross appearance, multifocality, associated urinary bladder bilharziasis, nodal stage, histological grading, vascular or perineural invasion), with (P value &gt;0.05). Conclusion Early-stage cancers have a much higher IS. This could be attributable to increased activation of immune cells with tumor antigens during the early stages of tumor progression in an attempt to destroy tumor cells. However, in the advanced phases, tumor cell suppressors modify the immune cells’ defensive capabilities to aid tumor progression. Consequently, studying the molecular nature of the tumors immunity provides ideas for predicting prognosis and determining factors associated with worse prognosis, as well as assisting in choosing the most suitable management plan. Since the IS has biomolecular relevance for assessing immune cell infiltrates, it could be used to develop innovative immunotherapy techniques.

Prognostic Implications of Intratumoral Budding in Colorectal Cancer: Detailed Analysis Based on Tumor-Infiltrating Lymphocytes.

This study aims to understand the clinical and pathological importance of intratumoral budding (ITB) in colorectal cancer (CRC) and its relationship with tumor-infiltrating lymphocytes (TILs). CRCs can be classified into hot (high immunoscore (IS)) and cold (low IS) tumors. We investigated the number of ITBs in a hotspot area and categorized them into high-ITB (≥5) and low-ITB (<5) groups. The clinicopathological significance of ITB in human CRCs was evaluated, and a detailed analysis based on tumor-infiltrating lymphocytes (TILs) was also performed. High ITB was identified in 59 of 266 CRC cases (22.2%). High ITB significantly correlated with a poorly differentiated tumor, lympho-vascular invasion, perineural invasion, higher pT stage, lymph node metastasis, and higher metastatic lymph node ratio. High ITB was also significantly correlated with a low IS and low CD8-positive lymphocytic infiltrate. The number of ITBs was substantially higher in the low-IS group than in the high-IS group (3.28 ± 3.31 vs. 2.19 ± 2.59; p = 0.005). High ITB significantly correlated with worse overall survival (p = 0.004). In the low-IS group, CRCs with high ITB had a significantly worse prognosis than those with low ITB (p = 0.021). However, there was no significant difference in prognosis between the high- and low-ITB groups in the high-IS group (p = 0.498). Taken together, high ITB was significantly correlated with aggressive tumor behaviors and worse survival in patients with CRCs. In addition, ITB can be useful for the prognostic stratification of CRCs with low IS.

A Noninvasive Approach to Evaluate Tumor Immune Microenvironment and Predict Outcomes in Hepatocellular Carcinoma

It is widely recognized that tumor immune microenvironment (TIME) plays a crucial role in tumor progression, metastasis, and therapeutic response. Despite several noninvasive strategies have emerged for cancer diagnosis and prognosis, there are still lack of effective radiomic-based model to evaluate TIME status, let alone predict clinical outcome and immune checkpoint inhibitor (ICIs) response for hepatocellular carcinoma (HCC). In this study, we developed a radiomic model to evaluate TIME status within the tumor and predict prognosis and immunotherapy response. A total of 301 patients who underwent magnetic resonance imaging (MRI) examinations were enrolled in our study. The intra-tumoral expression of 17 immune-related molecules were evaluated using co-detection by indexing (CODEX) technology, and we construct Immunoscore (IS) with the least absolute shrinkage and selection operator (LASSO) algorithm and Cox regression method to evaluate TIME. Of 6115 features extracted from MRI, five core features were filtered out, and the Radiomic Immunoscore (RIS) showed high accuracy in predicting TIME status in testing cohort (area under the curve = 0.753). More importantly, RIS model showed the capability of predicting therapeutic response to anti-programmed cell death 1 (PD-1) immunotherapy in an independent cohort with advanced HCC patients (area under the curve = 0.731). In comparison with previously radiomic-based models, our integrated RIS model exhibits not only higher accuracy in predicting prognosis but also the potential guiding significance to HCC immunotherapy.

Multistain deep learning as a prognostic and predictive biomarker in colorectal cancer

The tumor immune microenvironment (TIME) plays acrucial prognostic and predictive role in solid malignancies such as colorectal cancer (CRC). Nevertheless, scoring systems based on TIME such as the Immunoscore (IS) are rarely used in clinical practice. Among other reasons, this might be due to the additional time required for manual quantification of tumor-associated immune cells or costs associated with proprietary/commercial solutions. To address these issues, we developed amultistain deep learning model (MSDLM) and trained, validated, and tested it on immunohistochemical image data of different immune cell subtypes from over 1000 patients with CRC. Our model showed high prognostic accuracy and outperformed other clinical, molecular, and immune cell-based parameters. It might also be used for therapy response prediction in rectal cancer patients undergoing neoadjuvant therapy. Leveraging artificial intelligence interpretability/explainability methods, we ascertained that the MSDLM's predictions align with recognized antitumor immune response patterns. Consequently, the AImmunoscore (AIS) could emerge as apotential TIME-based decision-making tool for clinicians.

Multi-Institutional Evaluation of Pathologists' Assessment Compared to Immunoscore.

The Immunoscore (IS) is a quantitative digital pathology assay that evaluates the immune response in cancer patients. This study reports on the reproducibility of pathologists' visual assessment of CD3+- and CD8+-stained colon tumors, compared to IS quantification. An international group of expert pathologists evaluated 540 images from 270 randomly selected colon cancer (CC) cases. Concordance between pathologists' T-score, corresponding hematoxylin-eosin (H&E) slides, and the digital IS was evaluated for two- and three-category IS. Non-concordant T-scores were reported in more than 92% of cases. Disagreement between semi-quantitative visual assessment of T-score and the reference IS was observed in 91% and 96% of cases before and after training, respectively. Statistical analyses showed that the concordance index between pathologists and the digital IS was weak in two- and three-category IS, respectively. After training, 42% of cases had a change in T-score, but no improvement was observed with a Kappa of 0.465 and 0.374. For the 20% of patients around the cut points, no concordance was observed between pathologists and digital pathology analysis in both two- and three-category IS, before or after training (all Kappa < 0.12). The standardized IS assay outperformed expert pathologists' T-score evaluation in the clinical setting. This study demonstrates that digital pathology, in particular digital IS, represents a novel generation of immune pathology tools for reproducible and quantitative assessment of tumor-infiltrated immune cell subtypes.

Immunonutrition supplementation for resectable gastric cancer during standard perioperative chemotherapy (CT) FLOT: A pivotal study, I–SUPPLY.

57 Background: Gastric carcinomas (GC) can be divided into immunogenic and immune-resistant based on the infiltration of the tumour microenvironment (TME) from different immune cells (ICs) such as Natural Killer (NK), activated CD8+, CD3+ and CD4+ memory T cells. High ImmunoScore (IS) (positive cells/mm2 for each marker (CD8+, CD3+, Foxp3+) in the Core Tumour and Invasive Margins) is strongly related to better prognosis of GC patients in terms of Disease-Free Survival and Overall Survival. ICs activation and consequent immunogenic TME requires high nutrient absorption and synthesis accumulation of protein, lipid and nucleotides. However, tumour cells (TCs) promote their own proliferation by stealing the available micronutrients to ICs therefore leading to an immunosuppressive TME phenotype. Methods: This is a translational, prospective, non-randomized study. Primary endpoint is to assess if enteral immune nutrition (EIN) supplementation during the acme of the activity of cytotoxic of perioperative FLOT (docetaxel, oxaliplatin and 5-fluorouracil) in stage II-III GC can revert the TME in favour of ICs over TCs, witnessed by an increase of IS in surgical specimen over biopsy controls. A steady amount of EIN with Arginine, Omega-3-fatty acids, Glutamine and ribonucleic acid, will be added to patient’s diet from day 3 to 8 of each FLOT cycle, twice a day. We plan to use Image analysis software for automatic tumor detection and quantification of CD3+ and CD8+ stained cells whose densities will be converted into IS with pre-defined cutoffs. IS utilizes standardized percentile values (0 to 100%). We identify IS as Low, Intermediate (Int) and High with a mean percentile of 0-25%, &gt;25-70%, &gt;70-100% respectively. Two-group classifications are planned, corresponding to IS Low and Int-High. To better define the kind of tumor infiltrating cells (TILs) and assess the amount of immune suppressive cells, more IHC scoring will be evaluated: helper T-cells CD4+, CD8 T memory (CD 103+), T regulatory (both CD4+ and Foxp3+/CD105+), Macrophages M1 (CD 68+) and M2 (CD 163+). Results: Based on historical controls the rate of Int-High IS (&gt;25-70%, &gt;70% respectively) is about 64%, we expect to find a 20% increase of Int-High IS GC over biopsy control (internal validation cohort). To detect an increase in the percentage of high IS among patients treated with EIN (estimated around 85%) compared to biopsy controls (estimated around 64%) assuming a probability α and β of 0.2, the required sample size will be of 21 patients with resectable GC receiving EIN supplementation plus standard CT. To define the sample size a single proportion test was used. Conclusions: Our hypothesis is that EIN given during perioperative CT might prevent the establishment of an unfavourable TME for ICs in both auxotrophic and non-auxotrophic malignancies, thus leading to an increase of GC immunogenic pattern.

Simplified and Optimized Immune Score for Colorectal Cancer Microenvironment.

Immunoscore (IS) is an important evaluation method for the tumor immune microenvironment (TIME); however, formal IS analysis requires designated reagents and a specific digital pathology software and image data analysis. This study aimed to investigate whether simplified IS (s-IS) can substitute formal IS upon modifying the location of the assessment of the numbers of immune cells and verify that the addition of T cell subset markers to s-IS can enhance the prognostic impact in patients with colorectal cancer (CRC). A total of 82 CRC cases were included in this study. Immunohistochemical analysis was performed using CD3/CD8/CD45RO/FOXP3 on tissue specimens; the expression levels were calculated in the center and perimeter of the tumors using digital pathology. The clinical prognostic significance of the expression of these markers was investigated by concordance index comparison according to their location of assessment and combinations. In the univariate analysis, the CD3, CD8, and FOXP3 levels were significant prognostic factors. Moreover, for each T cell subset marker, the assessment of each T cell subset marker at the tumor perimeter had a stronger prognostic power than that in the tumor center. The modified s-IS (s-IS plus FOXP3 evaluation) was an independent prognostic factor for recurrence-free survival and overall survival through multivariate analysis and demonstrated the best prognostic power compared to other T subset marker combinations. In CRC, TIME evaluation could be simplified by assessing CD3- and CD8-positive T cells in the perimeter of the tumor, and additional FOXP3 evaluation would empower the ability of s-IS evaluation in prognostic assessment.

Assessment of immunoscore and MRI tumor regression grade to predict complete pathologic response in patients with locally advanced rectal cancer: Data from phase II Averectal study.

212 Background: In patients with locally advanced rectal cancer (LARC), magnetic resonance imaging is the most accurate non-invasive staging tool, enabling response assessment to total neoadjuvant therapy. Wang et al had reported that 46.6% of patients with Magnetic Resonance Tumor Regression Grade 1 (mrTRG=1; complete radiologic response) achieved pathologic complete response (pCR; no residual tumor cells). We reported previously in a Phase II Averectal study the correlation between pre-treatment biopsy Immunoscore (IS) and pCR probability (68% ± 22 SD in patients with a high IS as opposed to 52% ± 22 SD in patients with a low IS; P=0.036). This study explores the value of combining IS and mrTRG to predict pCR among LARC patients. Methods: This is an open-label, single-arm multicenter stage-2 phase II study investigating the efficacy and safety of 5 fractions of short course radiotherapy, followed by 6 cycles of mFOLFOX-6 plus avelumab, followed by Total Mesorectal Excision (TME), in patients with LARC. Mean density percentiles of CD3 and CD8 positive T cells infiltrating the tumor and the invasive margin in baseline tissue samples were used to calculate IS (62% is considered the cutoff between high and low IS). Baseline and post treatment MRI were reviewed by two independent radiologists to measure mrTRG and other variables. Results: Between July 2018 and October 2020, 44 patients were accrued, out of which 40 (90%) completed at least 1 cycle of mFOLFOX/Avelumab and underwent TME. Of the 40, 36 (90%) had baseline IS, mrTRG (pre-post treatment) and pTRG (pathologic Tumor Regression Grade) assessed. Out of 36, 15 (41.6%) achieved pCR, 24 (66.7%) had mrTRG=1 and 22 (61%) had high IS. Of the high IS (n=22) patients, 10 (45.45%) achieved pCR. Also, out of 24 patients with mrTRG=1, 11 (45.8%) attained pCR. Most importantly, of the patients with combined high IS and mrTRG=1 (n=14), 11 (78.6%) achieved pCR. In patients with both mrTRG=1 and high IS, pCR rate was 78.6% (11/14). This result is significantly different from pCR rate for patients with either high IS (10/22, 45.45%) or mrTRG=1 (11/24, 45.8%) with P=0.0247 and P=0.0243 respectively. Conclusions: Combining both IS and mrTRG achieved a promising predictive value for pCR in LARC and therefore upon further validation may be potentially used for patient selection in non-operative management strategies. Clinical trial information: NCT03503630 .

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer.

Although it has long been known that the immune cell composition has a strong prognostic and predictive value in colorectal cancer (CRC), scoring systems such as the immunoscore (IS) or quantification of intraepithelial lymphocytes are only slowly being adopted into clinical routine use and have their limitations. To address this we established and evaluated a multistain deep learning model (MSDLM) utilizing artificial intelligence (AI) to determine the AImmunoscore (AIS) in more than 1,000 patients with CRC. Our model had high prognostic capabilities and outperformed other clinical, molecular and immune cell-based parameters. It could also be used to predict the response to neoadjuvant therapy in patients with rectal cancer. Using an explainable AI approach, we confirmed that the MSDLM's decisions were based on established cellular patterns of anti-tumor immunity. Hence, the AIS could provide clinicians with a valuable decision-making tool based on the tumor immune microenvironment.

Prognostic and predictive value of Immunoscore and its correlation with ctDNA in stage II colorectal cancer

ABSTRACT This study aimed to validate the prognostic value of Immunoscore (IS) in stage II colorectal cancer (CRC), and explore the roles of IS and circulating tumor DNA (ctDNA) in the adjuvant treatment for early-stage CRC. Resected tumor samples from stage II CRC patients were collected from the Sun Yat-sen University Cancer Center. The densities of CD3+ and CD8+ lymphocytes were quantified and converted to IS and classified into Low, Intermediate (Int), and High groups according to predefined cutoffs. A total of 113 patients were included in the study. Patients with IS-High, Int, and Low were 43 (38%), 62 (55%), and 8 (7%), respectively. Patients with IS-High had an excellent clinical outcome, with none recurring during a median follow-up of 3 years, including 15 (35%) clinical high-risk patients. The 3-year disease-free survival (DFS) was 100% for IS-High, 76% for IS-Int, and 47% for IS-Low (P < .001). In the multivariate Cox analysis, IS was the only significant parameter associated with DFS. IS-Int and IS-Low patients with adjuvant chemotherapy had improved DFS compared to those who did not receive adjuvant chemotherapy (HR = 0.3; 95% CI 0.1–0.92; P = .026). Among the 49 patients with postoperative ctDNA data, IS-High patients had the lowest ctDNA positivity rate, suggesting that they were most eligible for chemotherapy-free treatment. IS had a strong prognostic value in Chinese patients with stage II CRC and demonstrates its clinical utility. IS and ctDNA will jointly optimize the adjuvant treatment strategies for early-stage CRC.

The role of systemic inflammatory response index (SIRI) and tumor-infiltrating lymphocytes (TILs) in the prognosis of patients with laryngeal squamous cell carcinoma.

Systemic inflammatory response index (SIRI) values and tumor-infiltrating lymphocytes (TILs) are associated with the prognosis of various tumors. There is minimal evidence of those two as prognostic markers in laryngeal squamous cell carcinoma (LSCC). In this study, we aimed to examine the predictive value of SIRI and tumor-infiltrating CD3+/CD4+/CD8+ T cells in the prognosis of patients who underwent partial or total laryngectomy. A total of 78 patients with LSCC who underwent total or partial laryngectomy at the Eye, Ear, Nose, and Throat Hospital of Fudan University between 2013 and 2015 were retrospectively analyzed. The tumor tissues of 78 LSCC patients were retrospectively evaluated using immunohistochemical staining for CD3+ /CD4+ /CD8+ -cells. The overall survival (OS) and disease-free survival (DFS) rates were recorded using the Kaplan-Meier method. Patients with high immunoscore (IS) (3-4) had prolonged survival (P < 0.001 for OS). High SIRI values were independently associated with poorer OS and DFS (P = 0.018 for OS; P = 0.016 for DFS). CD8+ TILs and SIRI values showed a- negative association (P < 0.01). Patients with low SIRI values and high IS had better 5-year OS and DFS than those with high SIRI values and low IS (P < 0.001 for OS; P = 0.0014 for DFS). Patients with 'hot' tumor had a higher 5-year OS than those with 'excluded' or 'cold' phenotype. The SIRI values and the density of TILs may help predict LSCC patients' outcomes after surgery. The combination of SIRI and IS may be a new component of the tumor, nodes, and metastases (TNM) classification of cancer and prognostic factor for T-cell-target immunotherapy.

Clinical Performance of the Consensus Immunoscore in Colon Cancer in the Asian Population from the Multicenter International SITC Study.

Simple SummaryResearch interest in Immuno-oncology and the role of the adaptative immune system in the progression and prognosis of colon cancer (CC) is growing. In this study, we evaluated the prognostic value of the consensus Immunoscore in 423 patients with AJCC/UICC-TNM stages I–III CC from Asian care centers. Immunoscore (IS) is a bench-to-digital pathology assay that quantifies CD3+ and cytotoxic CD8+ T-lymphocyte densities within the tumor and its invasive margin, stratifying patients into three categories: Low IS, Intermediate IS, and High IS. Multivariable Cox models stratified by center were used to assess the associations between Immunoscore and outcomes, adjusting for potential confounders, including gender, T-stage, N-stage, sidedness, and MSI. A comparison of the performance of risk prediction models was performed using the likelihood ratio test p-value. In uni/multivariable analyses, a High Immunoscore was significantly associated with prolonged survival of CC patients within the Asian population.BACKGROUND: In this study, we evaluated the prognostic value of Immunoscore in patients with stage I–III colon cancer (CC) in the Asian population. These patients were originally included in an international study led by the Society for Immunotherapy of Cancer (SITC) on 2681 patients with AJCC/UICC-TNM stages I–III CC. METHODS: CD3+ and cytotoxic CD8+ T-lymphocyte densities were quantified in the tumor and invasive margin by digital pathology. The association of Immunoscore with prognosis was evaluated for time to recurrence (TTR), disease-free survival (DFS), and overall survival (OS). RESULTS: Immunoscore stratified Asian patients (n = 423) into different risk categories and was not impacted by age. Recurrence-free rates at 3 years were 78.5%, 85.2%, and 98.3% for a Low, Intermediate, and High Immunoscore, respectively (HR[Low-vs-High] = 7.26 (95% CI 1.75−30.19); p = 0.0064). A High Immunoscore showed a significant association with prolonged TTR, OS, and DFS (p < 0.05). In Cox multivariable analysis stratified by center, Immunoscore association with TTR was independent (HR[Low-vs-Int+High] = 2.22 (95% CI 1.10–4.55) p = 0.0269) of the patient’s gender, T-stage, N-stage, sidedness, and MSI status. A significant association of a High Immunoscore with prolonged TTR was also found among MSS (HR[Low-vs-Int+High] = 4.58 (95% CI 2.27−9.23); p ≤ 0.0001), stage II (HR[Low-vs-Int+High] = 2.72 (95% CI 1.35−5.51); p = 0.0052), low-risk stage-II (HR[Low-vs-Int+High] = 2.62 (95% CI 1.21−5.68); p = 0.0146), and high-risk stage II patients (HR[Low-vs-Int+High] = 3.11 (95% CI 1.39−6.91); p = 0.0055). CONCLUSION: A High Immunoscore is significantly associated with the prolonged survival of CC patients within the Asian population.

High abundance of Lachnospiraceae in the human gut microbiome is related to high immunoscores in advanced colorectal cancer.

The tumor microenvironment (TME) in colorectal cancer (CRC) includes the gut microbiome, immune cells, angiogenic factors, and fibroblasts and plays a major role in cancer progression. The Immunoscore (IS) is based on tumor infiltration by immune cells that are known prognostic biomarkers for CRC. However, the interrelation between the IS, microbiome, and other TME factors in human CRC remains unclear. A cohort of 94 patients with CRC was examined at the Shiga University of Medical Science Hospital in Japan. The expression levels of CD3, CD8, CD31, and alpha-smooth muscle actin (α-SMA) in the primary tumor were evaluated by immunohistochemistry. The IS was calculated based on the results of the CD3 and CD8 staining assays. Microbiomes in patients with CRC were examined by amplicon sequencing. The expression levels of α-SMA and tumor-infiltrating lymphocytes in patients with CRC were negatively correlated (P = 0.006). A high IS was associated with high abundance of Lachnospiraceae in the microbiomes of patients with CRC. Lymphocyte infiltration into the primary tumor was marked by reduced density of cancer-associated fibroblasts and enrichment of the Lachnospiraceae family in the gut microbiome, which may influence CRC progression.

Interim analysis of the phase II AVETUXIRI trial: Avelumab combined with cetuximab and irinotecan for treatment of refractory microsatellite stable (MSS) metastatic colorectal cancer (mCRC).

3595 Background: Immune checkpoint inhibitors demonstrated poor efficacy in MSS mCRC. Cetuximab (anti-EGFR inhibitor) could initiate, independently from RAS mutation, an immunogenic tumor cell death and mediate antitumor immune response. In this trial, we aim to explore the clinical efficacy and safety of avelumab (anti-PDL1) combined with cetuximab and irinotecan for treatment refractory MSS mCRC and to understand its mechanisms of action through associated translational research. Methods: AVETUXIRI trial (NCT03608046) enrols MSS, chemorefractory (fluoropyrimidine, oxaliplatin, irinotecan and anti-EGFR treatment if RAS wt tumor) mCRC patients in 2 cohorts (A: RAS-wt, n = 10 – B: RAS-mut, n = 13). Primary endpoints are safety and tumor response rate ((i)RECIST1.1). Secondary endpoints include disease control rate (DCR), progression-free survival (PFS) and overall survival (OS). According to a Simon 2-stage design, 23 patients have been included in the first stage of the trial. Multiplex immunofluorescence and RNA sequencing were realized on metastasis biopsies performed before, during and after the treatment. Densities of CD3+ (T cells) and CD8+ (cytotoxic) were quantified and analyzed with to generate an immunoscore (IS). RNA-seq data was used to perform differential expression analysis (DESeq2), gene set enrichment analysis (GSEA), deconvolution analysis (ConsensusTME) and gene ontology analysis (GO). Results:: No unexpected safety signals were observed. 3/10 tumor responses were observed in cohort A, 0/13 in cohort B. DCR was 60.0% and 61.5% in cohort A and B, respectively. 6-months PFS and 12-months OS rates were respectively 40.0% and 50.0% (cohort A) and 38.5% and 46.2% (cohort B). Independently of RAS mutation, patients with a high IS (metastasis biopsy, baseline) had significantly higher tumor shrinkage (OR = 18.67 p = 0.019), median PFS (6.9 vs 3.4 months; HR = 0.16, p = 0.002) and median OS (13.7 vs 7.9 months, HR = 0.26, p = 0.009). Similarly, tumor shrinkage and survival outcome (PFS &gt; 6 months, OS &gt; 12 months) were associated with upregulation of an adaptive immune response signature (including Th1, chemokine, adhesion molecules, immune checkpoints and T-cell activation genes, p. adj = 0.009) and the GSEA hallmark of epithelial to mesenchymal transition (p. adj = 0.045). Few modifications of IS and gene expression profiles were observed on the different metastasis biopsies performed overtime in the included patients. Conclusions: AVETUXIRI met its preliminary primary efficacy endpoint for RAS-wt mCRC pts, justifying its current continuation. Encouraging survival data observed in RAS-mut cohort allow the opening of a new cohort (PFS as primary endpoint). IS and adaptive immune response signature evaluated on metastases biopsies were associated with treatment efficacy and survival. Clinical trial information: NCT03608046.

Comparison of Immune Response Assessment in Colon Cancer by Immunoscore (Automated Digital Pathology) and Pathologist Visual Scoring.

Simple SummaryThe immune response to colon cancer (CC) is highly variable among patients and is clinically relevant. In this study, we compared the immune response assessment for early-stage CC, as measured by Immunoscore (IS), to pathologist visual scoring of the CD3+ and CD8+ T-cell densities at the tumor site (T-score). The objectives were to determine the inter-observer agreement between pathologists and the concordance between the two methods. Agreement between pathologists was minimal to weak. Moreover, a weak concordance between the two methods was observed, leading to misclassification of 48% of cases by pathologist scoring. Due to the high level of immune infiltrate heterogeneity resulting in disagreement of interpretation among pathologists, IS is unlikely to be reproduced via non-standardized methods.Adjunction of immune response into the TNM classification system improves the prediction of colon cancer (CC) prognosis. However, immune response measurements have not been used as robust biomarkers of pathology in clinical practice until the introduction of Immunoscore (IS), a standardized assay based on automated artificial intelligence assisted digital pathology. The strong prognostic impact of the immune response, as assessed by IS, has been widely validated and IS can help to refine treatment decision making in early CC. In this study, we compared pathologist visual scoring to IS. Four pathologists evaluated tumor specimens from 50 early-stage CC patients and classified the CD3+ and CD8+ T-cell densities at the tumor site (T-score) into 2 (High/Low) categories. Individual and overall pathologist scoring of immune response (before and after training for immune response assessment) were compared to the reference IS (High/Low). Pathologists’ disagreement with the reference IS was observed in almost half of the cases (48%) and training only slightly improved the accuracy of pathologists’ classification. Agreement among pathologists was minimal with a Kappa of 0.34 and 0.57 before and after training, respectively. The standardized IS assay outperformed expert pathologist assessment in the clinical setting.