Prognostic Marker In Clinical Practice Research Articles

Prognostic Significance of the Advanced Lung Cancer Inflammation Index in Metastatic Small Cell Lung Cancer: A Retrospective Analysis of 96 Patients.

BACKGROUND The advanced lung cancer inflammation index (ALI) is regarded as a potential indicator of systemic inflammation. This retrospective study aimed to evaluate the prognostic role of the ALI in 96 patients with advanced small cell lung cancer (SCLC). MATERIAL AND METHODS This retrospective study included 96 patients who were diagnosed with extensive stage SCLC in a single institution between 2016 and 2022. The formula for ALI is body mass index (kg/m²)×serum albumin (g/dL)/neutrophil to lymphocyte ratio. Patients were divided into low inflammation (ALI ≥32.5) and high inflammation (ALI <32.5) groups. Kaplan-Meier analysis and Cox proportional analysis were conducted to assess the association between the ALI and patient prognosis. RESULTS Median age was 61 (range: 41-82) years. Median follow-up was 9 months, and median overall survival (OS) was 10 months (95% CI: 7.75-12.45). A lower ALI score (ALI <32.5) was correlated with a poorer OS than was a higher ALI score (median OS 7 months for ALI <32.5 95% CI: 4.6-9.3 vs 15 months for ALI ≥32.5, 95% CI: 10.6-19.3, P<0.001). In the multivariate analysis, ALI score, Eastern Cooperative Oncology Group performance status, brain metastasis, and bone metastasis were identified as independent prognostic factors. CONCLUSIONS ALI score is a substantial predictor of survival in SCLC as in other types of cancer types. Patients with a low ALI score have poorer survival. Assessment of ALI can identify lung cancer patients at high risk of poor prognosis and can be a useful prognostic marker in clinical practice.

LncRNA ZFHX4-AS1 as a novel biomarker in adrenocortical carcinoma.

Adrenocortical carcinoma (ACC) is a rare and highly aggressive malignant tumor. Currently, there is a lack of reliable prognostic markers in clinical practice. Extensive research has shown that long non-coding RNA (lncRNA) are critical factors in the initiation and progression of cancer, closely associated with early diagnosis and prognosis. Previous studies have identified that ZFHX4 antisense RNA 1 (ZFHX4-AS1) is aberrantly expressed in various cancers and is associated with poor outcomes. This study investigates whether ZFHX4-AS1 affects the prognosis of ACC patients and, if so, the potential mechanisms involved. In this study, utilizing four multi-center cohorts from The Cancer Genome Atlas (TCGA) program and Gene Expression Omnibus (GEO), we validated the prognostic capability of ZFHX4-AS1 in ACC patients through Kaplan-Meier survival analysis, cox regression models, and nomograms. Then, we explored the biological functions of ZFHX4-AS1 using gene set enrichment analysis (GSEA), competing endogenous RNA (ceRNA) networks, and analyses of somatic mutations and copy number variation (CNV). Finally, in vitro experiments were conducted to further validate the impact of ZFHX4-AS1 on proliferation and migration capabilities of ACC cell lines. Survival analysis indicated that patients in the high ZFHX4-AS1 expression group of ACC had worse prognosis. Cox regression analyses suggested that ZFHX4-AS1 levels were independent risk factors for prognosis. Subsequently, we constructed nomograms based on clinical features and ZFHX4-AS1 levels, demonstrating good predictive performance under the time-dependent receiver operating characteristic (ROC) curve. Analysis based on somatic mutations and CNV revealed that CTNNB1 and 9p21.3-Del drove the expression of ZFHX4-AS1. Cell Counting Kit-8 (CCK-8), colony formation, and Transwell assays confirmed that knockdown of ZFHX4-AS1 inhibited proliferation and migration of ACC cells. This study demonstrates that ZFHX4-AS1 has a reliable predictive value for the prognosis of ACC patients and is a promising biomarker.

Evaluating RDW’s Role in Heart Failure Mortality: Insights and Implications

To the Editor, I am writing to express my appreciation for the recent publication by Umit Yuksek, "Red Cell Distribution Width Is an Independent Predictor of 1-Year Mortality in a Turkish Patient Population with Acute Decompensated Heart Failure" [1]. This study contributes significantly to our understanding of prognostic factors in acute heart failure, highlighting the importance of red cell distribution width (RDW) as an independent predictor of 1-year mortality in patients with acute decompensated heart failure. The methodology used in the study, which involved a cohort of 101 patients, provides an analysis of the predictive value of RDW as well as traditional clinical predictors. The finding that a 1% increase in RDW is associated with a 44% increase in 1-year mortality is particularly striking and emerging as a simple but powerful prognostic marker in clinical practice. In addition to the limitations mentioned by the author, there are a few other factors that could potentially impact the results. First, studies on the effect of demographic characteristics on the value of RDW show that RDW is associated with various clinical conditions and demographic factors [2]. It has been reported that RDW can be affected by a number of factors, such as age, gender, inflammation, coronary artery disease, heart failure, hyperlipidemia, diabetes mellitus, pneumonia, and chronic obstructive pulmonary disease. Patients with acute decompensated heart failure may also be frequently intertwined with these diseases during their initial admission. The fact that some of these important demographic characteristics were not clearly explained in the patient population of the study may be important in terms of influencing the results of the study. The criteria for inclusion or exclusion in the study are also not comprehensive and clear. We think that these should be specified in more detail. In addition, the non-invasive diagnosis of heart failure with preserved ejection fraction (HFpEF) is difficult and controversial. For this reason, it is recommended to use scoring systems like H2FPEF and HFA-PEFF for the diagnosis of HFpEF [3,4]. We believe that if any echocardiography or laboratory parameters other than the EF were evaluated while considering this patient group, it would be good to mention the methodology section. However, mentioning this issue in the limitations section may be useful if it is not mentioned. Second, when we look at the comparison of the clinical and laboratory characteristics of the subgroups with normal, high, and very high RDW values, it is noteworthy that factors such as Killip classification, mitral insufficiency, atrial fibrillation, cardiogenic shock, inotropic drug requirement, which may have significant effects on mortality in acute HEART FAILURE, do not have a significant relationship with high RDW. It also appears that even if it is not statistically significant, the EF value is positively correlated with RDW. As a result, despite this important success of RDW in showing a 1-year mortality estimate, it also has a weak relationship with many other mortality predictor parameters in acute heart failure, suggesting that unforeseen clinical conditions or parameters may potentially affect RDW in this study group. Statistically significant findings may not always be clinically or biologically significant. RDW may indicate that it is a clinically important variable, but this effect may be small and not make a significant difference in practice. The reason for coming to this conclusion is that the important limitations mentioned above may affect the study results. In conclusion, we believe that further research is necessary to investigate the mechanisms underlying the association between RDW and mortality in acute heart failure patients and to examine the potential of RDW to guide therapeutic interventions. We commend the author of this study, which not only enriches our understanding but also opens avenues for future research in acute heart failure management, and we thank the journal for publishing it. Yours sincerely

A Preliminary Evaluation of Advanced Oxidation Protein Products (AOPPs) as a Potential Approach to Evaluating Prognosis in Early-Stage Breast Cancer Patients and Its Implication in Tumour Angiogenesis: A 7-Year Single-Centre Study.

Breast cancer (BrC) is a highly prevalent tumour among women. The high incidence and mortality rate of BrC prompts researchers to search for new markers that will provide information on the possible impact of the therapy on the risk of cancer-related events. This study aimed to investigate whether the level of advanced oxidation protein products (AOPPs) may have a potential impact on disease-free (DFS) and overall survival (OS) in BrC patients with early-stage cancer. Additionally, we tried to assess the relationship between AOPPs and angiogenic parameters. In this study, the pre- and post-treatment AOPP levels were examined in the serum of 70 newly diagnosed BrC women. The receiver operating characteristic curve identified pre- and post-treatment AOPPs to be above 9.37 μM and 10.39 μM, respectively, as the best cut-off values to predict the risk of cancer relapse. Additionally, Kaplan-Meier survival analysis indicated that pre- and post-treatment AOPPs above 9.37 μM and 10.39 μM were associated with significantly poorer OS. The uni- and multivariate Cox regression analysis highlighted that lower levels of pre- and post-treatment AOPPs were associated with a longer duration without relapse or cancer-related death. A positive correlation between concentrations of pre-treatment AOPPs and vascular endothelial growth factor A, and negative correlations with levels of soluble forms of vascular endothelial growth factor receptor type 1 and 2, were found. In conclusion, AOPPs appear to have an important role in predicting cancer-related events and may potentially serve as a simple prognostic marker in clinical practice.

CD4/CD8 ratio and CD8+ T-cell count as prognostic markers for non-AIDS mortality in people living with HIV. A systematic review and meta-analysis.

In people living with HIV (PLHIV), the CD4/CD8 ratio has been proposed as a useful marker for non-AIDS events. However, its predictive ability on mortality over CD4 counts, and the role of CD8+ T-cell counts remain controversial. We conducted a systematic review and meta-analysis of published studies from 1996 to 2023, including PLHIV on antiretroviral treatment, and reporting CD4/CD8 ratio or CD8+ counts. The primary outcome was non-AIDS mortality or all-cause mortality. We performed a standard random-effects pairwise meta-analysis comparing low versus high CD4/CD8 ratio with a predefined cut-off point of 0.5. (CRD42020170931). We identified 2,479 studies for screening. 20 studies were included in the systematic review. Seven studies found an association between low CD4/CD8 ratio categories and increased mortality risk, with variable cut-off points between 0.4-1. Four studies were selected for meta-analysis, including 12,893 participants and 618 reported deaths. Patients with values of CD4/CD8 ratio below 0.5 showed a higher mortality risk (OR 3.65; 95% CI 3.04 - 4.35; I2 = 0.00%) compared to those with higher values. While the meta-analysis of CD8+ T-cell counts was not feasible due to methodological differences between studies, the systematic review suggests a negative prognostic impact of higher values (>1,138 to 1,500 cells/uL) in the long term. Our results support the use of the CD4/CD8 ratio as a prognostic marker in clinical practice, especially in patients with values below 0.5, but consensus criteria on ratio timing measurement, cut-off values, and time to event are needed in future studies to get more robust conclusions. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020170931, identifier CRD42020170931.

Transcriptional Activity of Metalloproteinase 9 (MMP-9) and Tissue Metalloproteinase 1 (TIMP-1) Genes as a Diagnostic and Prognostic Marker of Heart Failure Due to Ischemic Heart Disease.

The most common cause of heart failure (HF) is coronary artery disease (CAD). The aim of this study was to evaluate the transcriptional activity of the metalloproteinase 9 (MMP-9) and tissue metalloproteinase inhibitor 1 (TIMP-1) genes in a study group of patients with HF due to CAD and in the control group, as well as assess the transcriptional activity of the examined genes, taking into account the number of affected coronary arteries and the severity of heart failure. The study group consisted of a total of 150 (100%) patients. The material for the study was peripheral blood, and molecular tests were performed using the quantitative QRT-PCR technique. The transcriptional activity of the MMP-9 gene was significantly higher in the group of patients with CAD and HF. It was also significantly higher with the progression of heart failure. TIMP-1 gene transcriptional activity was significantly lower with the advancement of heart failure. The transcriptional activity of the MMP-9 and TIMP-1 genes differentiated the examined patients. The severity of HF, and a significant increase in the QRT-PCR transcriptional activity of the MMP-9 gene with a simultaneous decrease in the activity of the TIMP-1 gene, makes them useful diagnostic and prognostic markers in clinical practice.

A Novel Defined Pyroptosis-Related Gene Signature for Predicting the Prognosis of Endometrial Cancer.

Endometrial carcinoma (EC) is the second major female genital malignancy. Genetic signatures may be an improved choice to predict the prognosis of EC patients. The relationship between pyroptosis and tumours has attracted much attention in recent years. Here, we constructed a new pyroptosis-related gene (PRG) signature for predicting the prognosis of EC. In this study, gene data and clinical information of EC patients were obtained from The Cancer Genome Atlas (TCGA). Following the identification of PRGs correlated with EC prognosis, we further investigate the bioinformatics functions of these PRGs by univariate Cox regression analysis and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Then, we used the least absolute contraction and selection operator (LASSO) regression and multiple Cox regression analysis to construct a new PRG signature that contains seven PRGs (NFKB1, EEF2K, CTSV, MDM2, GZMB, PANX1, and PTEN) and performed the Kaplan-Meier (K-M) analysis, receiver operating characteristic curve (ROC) analysis, and principal component analysis (PCA) to evaluate the prognostic value of our novel PRG signature. Finally, we assessed the correlations between pyroptosis and immune cells/checkpoints through the CIBERSORT tool and single-sample gene set enrichment analysis (ssGSEA). The result suggested that our signature was powerful in predicting EC prognosis and may play a part in assessing response to immunotherapy in EC patients. In conclusion, our study established a novel PRG signature for EC, which can be used as an effective prognostic marker in clinical practice in the future.

Peripheral blood T helper cell subsets in Löfgren’s and non-Löfgren’s syndrome patients

Sarcoidosis is a multisystemic granulomatous disorder of unknown cause, characterized by formation of immune granulomas in various organs, mainly in lungs. Currently, two main phenotypes of pulmonary sarcoidosis are described, i.e., Lofgren’s syndrome (LS) is an acute form with favorable outcome, and non-Lofgren’s syndrome (nLS) is a chronic type of disease with a high risk of pulmonary fibrosis. Our study was aimed to investigate the balance of main “polarized” CD4+central and effector memory T cells from treatment-naive patients with pulmonary sarcoidosis (LS (n = 19) and nLS (n = 63)) compared to healthy volunteers (HC, n = 48). This marker might be used as immunological markers for predicting severity of this disorder. Multicolor flow cytometry analysis demonstrated that the patients with nLS showed significantly low levels of relative and absolute numbers of CD3+CD4+lymphocytes if compared to patients with LS and control group (38.94% (31.33-44.24) versus 48.96% (43.34-53.54) and 47.63% (43.82-52.73), p &lt; 0.001 in both cases). Moreover, patients with nLS had reduced frequencies and absolute numbers of “naive”, CM and EM Th cells if compared with healthy controls. Furthermore, the patients with LS showed increased relative and absolute numbers of peripheral blood EM Th cells, capable for migration to peripheral inflamed tissues, when compared with nLS. Finally, patients with LS had increased frequencies and absolute numbers of effector TEMRA Th cells as compared to HC and nLS. Next, significant differences Th1 and Th2 cells frequencies were shown between the patients with nLS and HC (9.64% (7.06-13.65) versus 13.80% (11.24-18.03) with p &lt; 0.001, and 11.96% (9.86-14.78) versus 10.67% (9.13-12.98) with p = 0.048, respectively). But there were no significant differences in the relative numbers of CXCR5-CCR6+Th17 and CXCR5+follicular T helper cells (Tfh) between the groups. Finally, both groups of patients with pulmonary sarcoidosis contained low proportions of “non-classical” Th17 and DN Th17 cell, but increased levels of DP Th17 cells within total CXCR5-CCR6+ CM Th if compared with HC. Nevertheless, patients with nLS had increased frequency of “classical” Th17 in comparison with healthy controls. A very similar imbalance between different Th17 cell subsets was observed within total CXCR5CCR6+ effector memory Th, that were able to migrate from the bloodstream to the sites of infection, or tissue injury. Taken together, the data suggest that the proportions of Th17 cell subsets in pulmonary sarcoidosis can be evaluated as a diagnostic and/or prognostic marker in clinical practice and these cells could serve as a new therapeutic target.

Tubular and glomerular biomarkers of renal tissue function in the urine of fetuses with posterior urethral valves

Posterior urethral valve (PUV) is a congenital malformation characterized by a membranous structure located in the prostatic portion of the male posterior urethra that obstructs the urinary flow. Efforts have been made to determine the degree of impairment of fetal kidney function in this condition. This study aimed to measure the levels of urinary biomarkers of glomerular and tubular functions in fetuses with PUV and to compare with the levels of the same molecules in healthy male premature newborns. Urine samples from 43 fetuses with PUVs were collected and compared with urine samples from 40 healthy male newborns of the same gestational age (controls). Tubular and glomerular biomarkers levels were measured in urine samples by MILLIPLEX® assay kits. Levels of the molecules were related to creatinine (Cr) measurements at same urine samples and expressed as pg/mg Cr. Results were analysed with Graphpad Prism version 7.0 and SPSS version 20.0. Fetuses with PUV showed a significant reduction in urine levels of Epidermal Growth Factor (EGF), Calbindin, Osteoactivin, Molecule Renal Injury 1 (KIM-1 and Factor of trefoil 3 (TFF-3) when compared to controls. On the other hand, urine levels of cystatin C and renin were higher in PUV fetuses. The levels of molecules also differed according to urine osmolality and grade of hydronephrosis. Some urinary excreted molecules may indicate kidney damage in several segments along the nephron, while others may exert important functions. Mechanical and immunological mechanisms related to PUV might significantly modulate the synthesis of cytokines related to glomerular and tubular physiology, leading to alterations in urinary concentrations of those molecules. These biomarkers can be used as future diagnostic and prognostic markers in clinical practice. Early kidney structural and functional impairment influenced the synthesis of glomerular and tubular molecules related to kidney physiological processes in fetuses with PUV.

Increased Monocytic Myeloid-Derived Suppressor Cells in Whole Blood Predict Poor Prognosis in Patients with Plasma Cell Myeloma.

Myeloid-derived suppressor cells (MDSCs) are heterogeneous populations of immature myeloid cells with immunosuppressive effects that have prognostic potential in patients with malignancies; however, survival analysis studies are sparse. In this study, the prognostic implication of MDSCs was investigated in peripheral blood (PB) and bone marrow (BM) samples from 81 patients with plasma cell myeloma at diagnosis. MDSCs were quantified as monocytic MDSCs (mMDSCs) (CD11b+HLA-DR−/lowCD14+) and granulocytic MDSCs with neutrophils (gMDSCs-N) (CD11b+HLA-DR−/lowCD14−CD33+CD15+). Serum creatinine and lactate dehydrogenase levels showed a moderate correlation with all MDSC types, except BM-gMDSCs-N; mMDSCs correlated with serum β2-microglobulin level, and PB-mMDSCs showed an inverse correlation with hemoglobin. PB-mMDSC levels were significantly higher in patients with progressive disease than those in patients at diagnosis and complete response. BM-mMDSC levels in patients with progressive disease were also higher than those in patients at diagnosis. Patients with high mMDSCs showed significantly poorer prognosis than patients with low mMDSCs. Multivariate analysis showed high PB-mMDSCs (≥0.3%) as a significant adverse prognostic marker for overall survival. This study demonstrated the independent adverse prognostic impact of PB-mMDSCs in patients with myeloma. PB-mMDSC measurement using whole blood is readily accessible in clinical laboratories, and may be used as a prognostic marker in clinical practice.

A 13-Gene Metabolic Prognostic Signature Is Associated With Clinical and Immune Features in Stomach Adenocarcinoma.

Patients with advanced stomach adenocarcinoma (STAD) commonly show high mortality and poor prognosis. Increasing evidence has suggested that basic metabolic changes may promote the growth and aggressiveness of STAD; therefore, identification of metabolic prognostic signatures in STAD would be meaningful. An integrative analysis was performed with 407 samples from The Cancer Genome Atlas (TCGA) and 433 samples from Gene Expression Omnibus (GEO) to develop a metabolic prognostic signature associated with clinical and immune features in STAD using Cox regression analysis and least absolute shrinkage and selection operator (LASSO). The different proportions of immune cells and differentially expressed immune-related genes (DEIRGs) between high- and low-risk score groups based on the metabolic prognostic signature were evaluated to describe the association of cancer metabolism and immune response in STAD. A total of 883 metabolism-related genes in both TCGA and GEO databases were analyzed to obtain 184 differentially expressed metabolism-related genes (DEMRGs) between tumor and normal tissues. A 13-gene metabolic signature (GSTA2, POLD3, GLA, GGT5, DCK, CKMT2, ASAH1, OPLAH, ME1, ACYP1, NNMT, POLR1A, and RDH12) was constructed for prognostic prediction of STAD. Sixteen survival-related DEMRGs were significantly related to the overall survival of STAD and the immune landscape in the tumor microenvironment. Univariate and multiple Cox regression analyses and the nomogram proved that a metabolism-based prognostic risk score (MPRS) could be an independent risk factor. More importantly, the results were mutually verified using TCGA and GEO data. This study provided a metabolism-related gene signature for prognostic prediction of STAD and explored the association between metabolism and the immune microenvironment for future research, thereby furthering the understanding of the crosstalk between different molecular mechanisms in human STAD. Some prognosis-related metabolic pathways have been revealed, and the survival of STAD patients could be predicted by a risk model based on these pathways, which could serve as prognostic markers in clinical practice.

Nötrofil Lenfosit Oranı Evre 1 Testis Tümörünün Okkült Metastaz Parametrelerinde Bir Markır Olabilir mi?

Objective: Neutrophile-Lymphocyte (NLR) and Platelet-Lymphocyte ratio (PLR) comparison is an easy to use and cost-effective method in diagnosis of some cancers and diseases. In this study, we aimed to investigate if NLR / PLR ratio evaluation could be utilized in diagnosis of testicular malignencies especially in early-term with occult metastasis. Methods: A total of 40 patients at stage-I, who have undergone radical inguinal orchiectomy intervention for testicular tumor between 2015 and 2019, and 43 control individuals without any testicular complaints were included in this retrospective study. The relationship between pathological risk factors for occult metastatic disease in Stage-I testicular cancer and NLR-PLR values were investigated. Results: The average age was 30.05 years, and there was no significant difference between the groups by means of age (p=0.150). The NLR and PLR values of the tumor group were prominently higher in the patient group, when compared with the control group (p=0.001 and 0.016, respectively). In the correlation analysis between risk-factors for occult metastatic disease in Stage-I testicular cancer and NLR / PLR, we have found that only a significant correlation was present in terms of tumor size. Conclusion: As a result, we have concluded that NLR increases in all types of testicular tumors. We suggest that higher NLR ratio values can be used as prognostic marker in clinical practice.

The dynamics between neo-adjuvant treatment and immune responses in human breast cancer

Abstract Background Recent work has shown that immune activity in breast cancer (BC) plays a role in treatment responses and long-term outcomes. TIL scoring is now implemented as a prognostic marker in clinical practice. Studies show that high tumor infiltrating lymphocytes (TIL) are more often detected in triple negative and HER2 positive subtypes. TIL contain a heterogeneous population of immune cells dominated by T cells but also consist of many others. Neoadjuvant therapy (NAT) is increasingly administered in patients with locally advanced BC, allowing a resection of the tumor and to evaluate the in vivo response. While cytotoxic agents such as Anthracyclines elicit immunogenic cell death, the impact of NAT on TIL has only been sporadically studied. Methods A detailed assessment of the tumor microenvironment (TME) includes evaluation of TIL density, composition and functionally. Following NAT, lymphocyte subpopulations were quantified using flow cytometry(FACS) and these data were compared to untreated BC patients. Tumor tissue supernatants were stored for assessment of immunoglobulins (Ig). The FFPE blocks from matched biopsies and surgical tissues were stained with HE, chromogenic IHC and multiplex IHC. The stromal and intratumoral TIL were scored by two experienced pathologists. Results Our preliminary data correlate better responses with highly infiltrated biopsies, consistent with published work. Overall, the trend following NAT is for a decrease in TIL density, but with great inter-patient variation. FACS analysis of immunophenotypes shows a shift from CD4 to CD8 T cells and an increase in memory B cells after NAT. An assay for Ig subtypes detected decreases in IgG1/IgM and increases in IgG2/IgA. Multiplex IHC analysis of the TME in a patient with residual cancer detected active immune responses surrounding the remaining tumor that were characterized by CD8 TIL attached to the malignant cells, suggesting their recognition and killing. Conclusion NAT provokes changes in immune activities at the tumor site in early BC, with some of these alterations apparently linked to specific treatments. Our ongoing efforts are designed to provide detailed insight into the alterations associated with different NAT modalities and define prognostic biomarkers. Legal entity responsible for the study The authors. Funding FRNS, Televie, Les Amis de l'Institut Bordet, Lambeau Marteau. Disclosure A. Pabois: Full / Part-time employment: Iteos therapeutics. All other authors have declared no conflicts of interest.

CDX2 and Muc2 immunohistochemistry as prognostic markers in stage II colon cancer

The treatment for colorectal cancer is largely surgical followed by adjuvant chemotherapy in high-risk cases. In patients with stage II cancer, there is no clear benefit for chemotherapy, and the current tools for assessment of risk are inadequate. A recent study identified that colorectal cancer with a gene signature similar to undifferentiated colonic stem cells was associated with a worse outcome. It was later shown that loss of CDX2 detected by immunohistochemistry (IHC) alone resulted in a worse prognosis and that this could be used to predict patients who would benefit from chemotherapy. Having observed that CDX2 expression can be patchy, we elected to validate these prior results for clinical practice using whole-slide IHC. The pathology of all cases was reviewed, and 3 blocks were selected for CDX2 IHC. We also expanded the panel beyond CDX2 to assess whether other markers in the gene signature including CDX1, Muc2, GPX2, and villin could better predict outcome. Among 210 cases, CDX2 expression was diffusely lost in 11% and focally lost in 23% of cases. There was no difference in survival based on CDX2 expression, but Muc2 loss was associated with reduced survival (hazard ratio, 3.32; 95% confidence interval, 1.20 to 9.20). No significant differences in outcome were identified based on CDX1, GPX2, or villin expression. In keeping with this, assessment of The Cancer Genome Atlas gene expression data demonstrated that decreased Muc2 expression was associated with reduced overall survival. Our results with whole-slide IHC are different from the previous studies and caution against the use of CDX2 in isolation as a prognostic marker in clinical practice. We have identified that loss of Muc2 is associated with reduced survival. This supports the use of the colonic differentiation gene expression signature to identify high-risk patients but cautions against the use of any one IHC-based marker in isolation.

Construction of a specific SVM classifier and identification of molecular markers for lung adenocarcinoma based on lncRNA-miRNA-mRNA network.

BackgroundNovel diagnostic predictors and drug targets are needed for LUAD (lung adenocarcinoma). We aimed to build a specific SVM (support vector machine) classifier for diagnosis of LUAD and identify molecular markers with prognostic value for LUAD.MethodsThe expression differences of miRNAs, lncRNAs and mRNAs between LUAD and normal samples were compared using data from TCGA (The Cancer Genome Atlas) database. A LUAD related miRNA-lncRNA-mRNA network was constructed, based on which feature genes were selected for the construction of LUAD specific SVM classifier. The robustness and transferability of SVM classifier were validated using gene expression profile datasets GSE43458 and GSE10072. Prognostic markers were identified from the network. A set of LUAD-related differentially expressed miRNAs, lncRNAs and miRNAs were identified and a LUAD related miRNA-lncRNA-mRNA network was obtained. The LUAD specific SVM classifier constructed on the basis of the network was robust and efficient for classification of samples from TCGA dataset and two independent validation datasets.ResultsEight RNAs with prognostic value were identified, including hsa-miR-96, hsa-miR-204, PGM5P2 (phosphoglucomutase 5 pseudogene 2), SFTA1P (surfactant associated 1), RGS20 (regulator of G protein signaling 20), RGS9BP (RGS9-binding protein), FGB (fibrinogen beta chain) and INA (alpha-internexin). Among them, RGS20 and INA were regulated by hsa-miR-96. RGS20 was also regulated by hsa-miR-204, which was a potential target of SFTA1P.ConclusionThe LUAD specific SVM classifier may serve as a novel diagnostic predictor. hsa-miR-96, hsa-miR-204, PGM5P2, SFTA1P, RGS20, RGS9BP, FGB and INA may serve as prognostic markers in clinical practice.

Increased T-helper 17.1 cells in sarcoidosis mediastinal lymph nodes.

The lung-draining mediastinal lymph nodes (MLNs) are currently widely used to diagnose sarcoidosis. We previously reported that T-helper (Th) 17.1 cells are responsible for the exaggerated interferon-γ production in sarcoidosis lungs. In this study, we aimed to investigate 1) whether Th17.1 cells are also increased in the MLNs of sarcoidosis patients and 2) whether frequencies of the Th17.1 cells at diagnosis may correlate with disease progression.MLN cells from treatment-naive pulmonary sarcoidosis patients (n=17) and healthy controls (n=22) and peripheral blood mononuclear cells (n=34) and bronchoalveolar lavage fluid (BALF) (n=36) from sarcoidosis patients were examined for CD4+ T-cell subset proportions using flow cytometry.Higher proportions of Th17.1 cells were detected in sarcoidosis MLNs than in control MLNs. Higher Th17.1 cell proportions were found in sarcoidosis BALF compared with MLNs and peripheral blood. Furthermore, BALF Th17.1 cell proportions were significantly higher in patients developing chronic disease than in patients undergoing resolution within 2 years of clinical follow-up.These data suggest that Th17.1 cell proportions in pulmonary sarcoidosis can be evaluated as a diagnostic and/or prognostic marker in clinical practice and could serve as a new therapeutic target.

HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues.

Evaluating expression of the human epidermal growth factor receptor 2 (HER2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of the diagnostic assessment of BCa due to its recognized importance as a predictive and prognostic marker in clinical practice. However, visual scoring of HER2 is subjective, and consequently prone to interobserver variability. Given the prognostic and therapeutic implications of HER2 scoring, a more objective method is required. In this paper, we report on a recent automated HER2 scoring contest, held in conjunction with the annual PathSoc meeting held in Nottingham in June 2016, aimed at systematically comparing and advancing the state-of-the-art artificial intelligence (AI)-based automated methods for HER2 scoring. The contest data set comprised digitized whole slide images (WSI) of sections from 86 cases of invasive breast carcinoma stained with both haematoxylin and eosin (H&E) and IHC for HER2. The contesting algorithms predicted scores of the IHC slides automatically for an unseen subset of the data set and the predicted scores were compared with the 'ground truth' (a consensus score from at least two experts). We also report on a simple 'Man versus Machine' contest for the scoring of HER2 and show that the automated methods could beat the pathology experts on this contest data set. This paper presents a benchmark for comparing the performance of automated algorithms for scoring of HER2. It also demonstrates the enormous potential of automated algorithms in assisting the pathologist with objective IHC scoring.

Neutrophil-to-Lymphocyte Ratio Predicts Outcome in Limited Disease Small-cell Lung Cancer.

Patients with limited disease small-cell lung cancer (SCLC) receive radiochemotherapy followed by prophylactic cranial irradiation. The prognosis of these patients remains poor with a median survival of 16-24 months. Systemic inflammation was suggested as an important prognostic factor for outcomes. This study investigated the impact of systemic inflammation measured with neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) at first diagnosis in patients with limited disease SCLC for outcomes. Data of 65 patients receiving radiochemotherapy for limited disease SCLC were analyzed. NLR and PLR were obtained from blood sample at first diagnosis of SCLC and 12 characteristics including gender, age, ECOG, T-category, N-category, pack years, smoking during radiotherapy, respiratory insufficiency, hemoglobin levels during radiotherapy, radiation dose (<56 vs. ≥56Gy), concurrent radiochemotherapy, and prophylactic cranial irradiation (PCI) were evaluated for local control, metastasis-free survival, and overall survival. Survival rates at 1, 2, and 3 years were 71, 45, and 28%, respectively. Median survival time was 20 months. Independent factors for improved survival were NLR < 4 (p = 0.03), ECOG 0-1 (p = 0.002), and PCI (p = 0.015). Lower T-category was an independent positive factor of local control (p = 0.035). Improved metastasis-free survival was associated with NLR < 4 (p = 0.011), ECOG 0-1 (p = 0.002), N-category 0-1 (p = 0.048), non-smoking during radiotherapy (p = 0.009), and PCI (p = 0.006). NLR was found to be an independent prognostic factor for overall survival. The evaluation of NLR can help identify patients with poor prognosis and appears a useful prognostic marker in clinical practice. A prospective analysis is warranted to confirm these findings.

A standardized method for quantifying proliferation by Ki-67 and cyclin A immunohistochemistry in breast cancer.

Immunohistochemical analysis of proliferation markers such as Ki-67 and cyclin A is widely used in clinical evaluation as a prognostic factor in breast cancer. The proliferation status of tumors is guiding the decision of whether or not a patient should be treated with chemotherapy because low-proliferative tumors are less sensitive by such treatment. However, the lack of optimal cutoff points and selection of tumor areas hamper its use in clinical practice. This study was performed to compare the Ki-67 and cyclin A expression counted in hot-spot vs average counting based on 5 to 14 random tumor areas in 613 breast carcinomas. We correlated the findings with 10-year follow-up in order to standardize the evaluation of proliferation markers in clinical practice. A significant correlation was found between the percentage of positive cells estimated by Ki-67 and cyclin A both by hot-spot and by average counting. Both methods showed that high expression of Ki-67 and cyclin A is associated with more adverse tumor stage. The cutoff value for Ki-67 for distant metastases was set to 22% and to 15%, using hot-spot and average counting, respectively. For cyclin A, the values were set to 14% and 8% using the respective methods. Survival curves revealed that patients with a high hot-spot proliferation index had a significantly greater risk of shorter tumor-free survival. Our findings suggest that the determination of proliferation markers in breast cancer should be standardized to hot-spot counting and that specific cutoff values for proliferation could be useful as prognostic markers in clinical practice. Moreover, we suggest that expression levels of cyclin A could be used as a complementary marker to estimate the proliferation status in tumors, especially those with "borderline" expression levels of Ki-67, in order to more accurately estimate the proliferations status of the tumors.

Advanced Lung Cancer Inflammation Index, a New Prognostic Score, Predicts Outcome in Patients With Small-Cell Lung Cancer

BackgroundA recent study indicated that the Advanced Lung Cancer Inflammation Index (ALI) could predict overall survival (OS) in patients with non–small-cell lung cancer. However, the prognostic value in small-cell lung cancer (SCLC) has not been studied. Therefore, the aim of this study was to explore the relationship between ALI and the prognosis of SCLC. Patients and MethodsWe screened 460 patients who were diagnosed with SCLC from June 2006 to December 2011 in Sun Yat-Sen University Cancer Center. Data acquisition was through patients' medical information, and blood results recorded at the time of diagnosis. ALI was calculated as the formula: body mass index × serum albumin/neutrophil-lymphocyte ratio. ResultsIn total, 365 patients were enrolled in this study. Patients were allocated to 2 groups: ALI < 19.5 (n = 60) and ALI ≥ 19.5 (n = 305). For patients with ALI < 19.5 and ≥ 19.5, the median OS was 10.97 and 20.14 months, respectively (P < .001). On multivariate analysis, clinical stage (P < .001), performance status (P = .001), lactate dehydrogenase (P < .001), and ALI (P = .005) were all independent prognostic factors for OS. ConclusionThe results of this study demonstrated that lower ALI was significantly associated with worse OS in SCLC patients. The evaluation of ALI could authenticate the patients with poor prognosis and be a useful prognostic marker in clinical practice.