Soluble programmed death ligand 1 as prognostic biomarker in non-small cell lung cancer patients receiving nivolumab, pembrolizumab or atezolizumab therapy

Many studies have focused on the prognostic role of soluble programmed death ligand 1 (sPD-L1) in non-small cell lung cancer (NSCLC), but outcomes are ambiguous and further investigations are needed. We addressed the matter by studying sPD-L1 in baseline samples and in longitudinal samples taken prior to three subsequent cycles of anti-PD-1/anti-PD-L1 treatments. Eighty patients with NSCLC were enrolled. Median sPD-L1 level at baseline was 52 pg/mL [95% confidence interval (CI) 49-57]. In patients treated with pembrolizumab and nivolumab, the concentration of sPD-L1 remained rather stable throughout treatment. In contrast, sPD-L1 rose by 50-fold following the first cycle of atezolizumab therapy. We found the baseline level of sPD-L1 to be related to overall survival (OS) after two years of follow-up in simple Cox analysis (p = 0.006) and multiple Cox Regression, hazard ratio 1.02 (95% CI 1.00-1.03) (p = 0.033). There was no association between sPD-L1 and tissue PD-L1 expression, overall response rate, or progression free survival. In conclusion, sPD-L1 measured in baseline serum samples may be associated with OS in NSCLC patients receiving anti-PD1/anti-PD-L1 treatment. Importantly, the results signify that further research is warranted to explore the clinical utility of sPD-L1 in patients treated with anti-PD-L1.

Description of an activity-based enzyme biosensor for lung cancer detection

BACKGROUND

Lung cancer is associated with the greatest cancer mortality as it typically presents with incurable distributed disease. Biomarkers relevant to risk assessment for the detection of lung cancer continue to be a challenge because they are often not detectable during the asymptomatic curable stage of the disease. A solution to population-scale testing for lung cancer will require a combination of performance, scalability, cost-effectiveness, and simplicity.

METHODS

One solution is to measure the activity of serum available enzymes that contribute to the transformation process rather than counting biomarkers. Protease enzymes modify the environment during tumor growth and present an attractive target for detection. An activity based sensor platform sensitive to active protease enzymes is presented. A panel of 18 sensors was used to measure 750 sera samples from participants at increased risk for lung cancer with or without the disease.

RESULTS

A machine learning approach is applied to generate algorithms that detect 90% of cancer patients overall with a specificity of 82% including 90% sensitivity in Stage I when disease intervention is most effective and detection more challenging.

CONCLUSION

This approach is promising as a scalable, clinically useful platform to help detect patients who have lung cancer using a simple blood sample. The performance and cost profile is being pursued in studies as a platform for population wide screening.

Natural killer cell activity in metastatic castration resistant prostate cancer patients treated with enzalutamide

Metastatic castration resistant prostate cancer (mCRPC) is still the lethal stage for the whole spectrum of prostate cancer disease. Even though different treatment options have been introduced in the last decade with a significant survival improvement for this population, a lack of more reliable prognostic and predictive markers is still one of the main clinical challenges in management of mCRPC. The aim of this study was to investigate the correlation between Natural Killer cell activity (NKA) and both treatment effect and outcomes in patients with mCRPC treated with enzalutamide. A total of 87 patients with mCRPC treated with enzalutamide as the first line treatment were enrolled. NKA was estimated at baseline and prior to each treatment cycle. Endpoints included both treatment effect with biochemical response (BR), biochemical progression (BP) and radiological progression (RP), as well as outcome data with overall survival (OS), radiologic progression free survival (rPFS), and time to next treatment (TTT). At the time of BR, interferon-gamma (IFNγ) decreased significantly compared to levels detected at baseline (z-score = 2.33, p = 0.019). Regarding outcome data, the whole cohort was divided into four groups according to the change of IFNγ level during the first 3 cycles of enzalutamide treatment. In group 1 (n = 42) the IFNγ level remained within a normal range (≥ 250 pg/mL),while in group 2 (n = 7) it increased from an abnormal (< 250 pg/mL) to a normal level. In group 3 (n = 13) it dropped to an abnormal level, and it remained at an abnormal level during treatment in group 4 (n = 17). Patients in group 2 showed the worst prognosis with shorter both rPFS and TTT (HR 4.30, p = 0.037; and HR 6.82, p = 0.011, respectively). In this study inverse correlations between NKA and both treatment response and outcomes was observed in mCRPC patients receiving enzalutamide, suggesting an unfavourable role of NK cells in the late stage of PCa.

NK cell activity and methylated HOXA9 ctDNA as prognostic biomarkers in patients with non-small cell lung cancer treated with PD-1/PD-L1 inhibitors

BACKGROUND

PD-1/PD-L1 inhibitors have improved survival for patients with non-small cell lung cancer (NSCLC). We evaluated natural killer cell activity (NKA) and methylated HOXA9 circulating tumor DNA (ctDNA) as prognostic biomarkers in NSCLC patients treated with PD-1/PD-L1 inhibitors.

METHODS

Plasma was prospectively collected from 71 NSCLC patients before treatment with PD-1/PD-L1 inhibitors and before cycles 2-4. We used the NK Vue^® assay to measure the level of interferon gamma (IFNγ) as a surrogate for NKA. Methylated HOXA9 was measured by droplet digital PCR.

RESULTS

A score combining NKA and ctDNA status measured after one treatment cycle had a strong prognostic impact. Group 1 had IFNγ < 250 pg/ml and detectable ctDNA (n = 27), group 2 consisted of patients with either low levels of IFNγ and undetectable ctDNA or high levels of IFNγ and detectable ctDNA (n = 29), group 3 had IFNγ ≥250 pg/ml and undetectable ctDNA (n = 15). Median OS was 221 days (95% CI 121-539 days), 419 days (95% CI 235-650 days), and 1158 days (95% CI 250 days-not reached), respectively (P = 0.002). Group 1 had a poor prognosis with a hazard ratio of 5.560 (95% CI 2.359-13.101, n = 71, P < 0.001) adjusting for PD-L1 status, histology, and performance status.

CONCLUSIONS

Combining NKA and ctDNA status after one cycle of treatment was prognostic in patients with NSCLC treated with PD-1/PD-L1 inhibitors.

Natural killer cell activity in patients with metastatic castration-resistant prostate cancer treated with enzalutamide

255

Background: Metastatic castration resistant prostate cancer (mCRPC) is the lethal stage for most patients with prostate cancer (PCa). The need for more reliable prognostic and predictive markers for the management of mCRPC is still unmet. The aim of this study was to elucidate the correlation between Natural Killer cell activity (NKA) and treatment outcome in mCRPC patients. Methods: Blood samples were collected prospectively from 87 patients with mCRPC who were treated by enzalutamide as first line treatment. Samples were collected, in NK Vue tubes, at baseline, and prior to each treatment cycle until treatment change. Tubes were placed in an incubator at 37°C within 15 minutes of sampling. Following 20-24 hours of stimulation the level of interferon-gamma (IFNγ) in the plasma was measured, by ELISA (NK Vue) as a surrogate for NKA. Outcomes data were included as endpoints. Results: At the time of biochemical response, plasma IFNγ decreased significantly compared to levels detected at baseline (z-score= 2.334, p=0.019). Additionally, the level of IFNγ was significantly lower at radiological response compared to values at biochemical progression (z-score=2.168, p=0.030). Regarding outcome data, the whole cohort was divided into four groups. In group 1 (n=41) the IFNγ level remained within a normal range (>250 pg/mL), while in group 2 (n=8) it increased from an abnormal (<250 pg/mL) to a normal level. In group 3 (n=13) it dropped to an abnormal level, and it remained at an abnormal level during treatment in group 4 (n=17). There was a significant difference between patients in group 2 and patients in the other three groups regarding both overall survival, radiological free survival and time to next treatment (HR= 3.98, p= 0.012, HR= 6.10, p=< 0.001 and HR= 6.521, p= < 0.001, compared to group 1 respectively). Conclusions: An inverse correlation between NKA and both treatment response and outcome was observed, suggesting a unique role of NK cells in late stage PCa treated with enzalutamide.

Assessment of circulating biomarkers for detection of lung cancer in a high-risk cohort

BACKGROUND

There is an urgent need for early detection of lung cancer. Screening with low-dose computed tomography (LDCT) is now implemented in the US. Supplementary use of a lung cancer biomarker with high specificity is desirable.

OBJECTIVE

To assess the diagnostic properties of a biomarker panel consisting of cytokeratin 19 fragment (CYFRA 21-1), carcinoembryonic antigen (CEA) and cancer antigen 125 (CA125).

METHODS

A cohort of 250 high-risk patients was investigated on suspicion of lung cancer. Ahead of diagnostic work-up, blood samples taken. Cross-validated prediction models were computed to assess lung cancer detection properties.

RESULTS

In total 32% (79/250) of patients were diagnosed with lung cancer. Area under the curve (AUC) for the three biomarkers was of 0.795, with sensitivity/specificity of 57%/93% and negative predictive value of 83%. When combining the biomarkers with US screening criteria, the AUC was 0.809, while applying only US screening criteria on the cohort, yielded an AUC of 0.62. The ability of the biomarkers to detect stage I-II lung cancer was substantially lower; AUC 0.54.

CONCLUSIONS

In a high-risk cohort, the detection properties of the three biomarkers were acceptable compared to current LDCT screening criteria. However, the ability to detect early stage lung cancer was low.

High Expression of the Costimulatory Checkpoint Factor DNAM-1 by CD4+ T-Cells from Multiple Myeloma Patients Refractory to Daratumumab-Containing Regimens

Multiple myeloma is an incurable disease characterized by unregulated growth of malignant plasma cells in the bone marrow (BM). Tumor-induced dysfunction of T-cells may be responsible for immune evasion and failure of immunotherapy. Therefore, a better understanding of the phenotype of T-cells at the tumor site is needed. We assessed the expression of immune regulatory receptors on T-cell subsets from peripheral blood (PB) and BM using multicolor flow cytometry. Paired PB and BM samples were collected from newly diagnosed, treatment-naïve myeloma patients (n = 19) and patients progressing during treatment with the CD38 monoclonal antibody daratumumab alone or in combination with other anti-myeloma drugs (n = 39). We observed that CD4+ T-cells from both PB and BM of patients relapsing on daratumumab have a higher expression of the costimulatory checkpoint receptor DNAM-1. The potential role of DNAM-1+CD4+ T-cells in the development of resistance to daratumumab needs further exploration. We also observed that the inhibitory checkpoint receptor TIGIT is more frequently expressed by BM CD8+ T-cells from myeloma patients than PD-1 and CTLA-4, which supports the hypothesis that TIGIT may play a central role in the immune escape of the malignant plasma cells.

NK cell activity and methylated HOXA9 circulating tumor DNA as prognostic biomarkers in patients with non-small cell lung cancer treated with PD-1/PD-L1 inhibitors

2552

Background: PD-1/PD-L1 inhibitors have improved survival for patients with non-small cell lung cancer (NSCLC), but better prognostic biomarkers are needed. Methods: We prospectively collected plasma from 82 patients with NSCLC before initiating treatment with PD-1/PD-L1 inhibitors and before treatment cycles 2-4. We used the NK Vue assay to measure interferon gamma (IFNγ) as a surrogate for natural killer cell activity (NKA) with a cutoff of 250 pg/mL. Circulating tumor DNA (ctDNA) in the form of methylated HOXA9 was measured by droplet digital PCR. ctDNA status was classified as detectable or undetectable ctDNA. Results: Patients were classified into three groups according to IFNγ levels at the available time points. The NKA-low group had a persistently low level of IFNγ or dropped to and remained at a low level after baseline (<250 pg/mL, n=29), the NKA-mixed group experienced either an increase from low to normal levels or vice versa (n=34), while the NKA-high group maintained a normal level of IFNγ (≥250 pg/mL, n=13). The median PFS was 64 days (95% confidence interval (CI) 48-115 days), 228 days (95% CI 146-353 days), and 214 days (95% CI 101-693 days), respectively, for NKA-low, NKA-mixed, and NKA-high (p=0.003). The median OS was 170 days (95% CI 110-285 days), 487 days (95% CI 361-761 days), and 1,131 days (95% CI 235 days to not reached), respectively (p<0.001). Patients were divided according to detectable (ctDNA+, n=41) or undetectable (ctDNA-, n=32) ctDNA after one treatment cycle. Median PFS was 97 days (95% CI 58-192 days) and 228 days (95% CI 146-353 days), respectively, for ctDNA+ and ctDNA- (p=0.018). Median OS was 235 days (95% CI 170-525 days) and 544 days (95% CI 361-1158 days), respectively (p=0.007). A score combining NKA and ctDNA both measured after the first treatment cycle had a strong prognostic impact. Group 1 had a low level of IFNγ (<250 pg/mL) and detectable ctDNA (n=27), group 2 had either low levels of IFNγ and undetectable ctDNA or vice versa (n=29), and group 3 had normal levels of IFNγ (≥250 pg/mL) and undetectable ctDNA (n=15). Median PFS was 69 days (95% CI 48-213 days), 183 days (95% CI 102-235 days), and 307 days (95% CI 140-693 days), respectively, for group 1, 2, and 3 (p=0.022). Median OS was 221 days (95% CI 121-539 days), 419 days (95% CI 235-650 days), and 1,158 days (95% CI 250 days to not reached), respectively (p=0.002). Biomarker score 1 was a marker of poor prognosis for OS with a hazard ratio (HR) of 3.971 (95% CI 1.763-8.943, p=0.001) compared to biomarker score 3. It remained statistically significant with a HR of 5.560 (95% CI 2.359-13.101, n=71, p<0.001) when adjusting for PD-L1 status, histology, and performance status. Conclusions: A biomarker score combining the levels of NKA and ctDNA status after the first cycle of treatment may be used to stratify the prognosis in patients with NSCLC treated with PD-1/PD-L1 inhibitors.

Natural killer cell activity as a biomarker for the diagnosis of lung cancer in high-risk patients

Objective

Natural killer (NK) cells play an essential role in the immune response against cancer. However, immune escape mechanisms may cause inferior NK cell activity (NKA) in patients with cancer. This prospective study examined the relationship between NKA and lung cancer in a high-risk cohort.

Methods

In a cohort study, 250 participants referred by their general practitioner for suspicion of lung cancer were included. Before clinical investigation, blood was collected into NK Vue tubes, and the level of interferon gamma after 24 hours served as a surrogate marker for NKA.

Results

Among 250 patients, 79 were diagnosed with lung cancer. No difference in NKA was found between patients with lung cancer and control participants in which lung cancer was ruled out (median 226 pg/mL vs. 450 pg/mL). However, there was a significant difference in NKA between patients with late-stage lung cancer and controls (median 161 pg/mL vs. 450 pg/mL). A linear regression model showed that NKA was not influenced by age, sex or smoking status.

Conclusions

The significantly lower NKA in patients with late-stage lung cancer warrants further investigation combining NKA with other biomarkers and examining the potential role of NKA as a marker of disseminated disease.

Acute myeloid leukemia displaying clonal instability during treatment: implications for measurable residual disease assessments

Next-generation sequencing (NGS) is an excellent methodology for measuring residual disease in acute myeloid leukemia and survey several sub-clones simultaneously. Little experience exists regarding interpretation of differential clonal responses to therapy. We hypothesize that differential clonal response could best be studied in patients with residual disease at the time of response evaluation. We performed targeted panel sequencing of paired diagnostic and first treatment evaluation samples in 69 patients with residual disease by morphology or measurable residual disease (MRD) level >0.02. Five patients displayed a rising clone at the time of evaluation. A representative case showed the rising clone present only in the putative healthy stem cells (CD45^lowCD34⁺CD38^-CD123^-CD7^-) and not in the putative leukemic stem cells (CD34⁺CD38^-CD123⁺CD7⁺) cells, thus representing non-malignant clonal hematopoiesis. In contrast, 17/43 evaluable patients displayed a differential response in genes related to the leukemic clone. 26/43 patients displayed a clonal response that followed the overall treatment response. Patients with a differential response had a better event-free survival (EFS) as well as overall survival (OS) than those where the clonal response followed the overall response (log-rank test, EFS P=0.045, OS, P=0.050). This indicates that when following multiple leukemia-related clones the less chemotherapy-responsive clone could, in some cases, have lesser relapse potential, contrary to what is known when using standard mutation or fusion transcript-based disease surveillance. In conclusion, our results confirm the potential of refining MRD assessments by following multiple clones and warrants further studies into the precise interpretations of multi-clone NGS-MRD assays.

Performance of the EarlyCDT® Lung test in detection of lung cancer and pulmonary metastases in a high-risk cohort

OBJECTIVES

Early detection of lung cancer is pivotal for an optimal prognosis. CT screening is currently implemented in USA. To decrease the amount of CT scans, the application of a blood-based biomarker as part of screening criteria is desirable.

MATERIALS AND METHODS

The EarlyCDT® Lung test was performed in a high-risk cohort composed 246 patients referred from their GP on suspicion of lung cancer. Blood samples were taken at first visit and patients underwent diagnostic workup on suspicion of lung cancer resulting in either a malignant diagnosis or ruled out cancer. Sensitivity and specificity of the EarlyCDT® Lung were calculated in the cohort and subgroups based on age, smoking history, sex and lung cancer stage.

RESULTS

Overall sensitivity in the cohort was 33 % for lung cancer and 31 % for primary lung cancer and lung metastases combined. Sensitivity in age groups was 11 % (60 years or below), 31 % (61-75 years) and 55 % (>75 years). In patients with at least 10 tobacco pack years, sensitivity was 33 % while the sensitivity in patients with at least 50 tobacco pack years was 44 %. The assay sensitivity in stage I-II lung cancer patients was 21 %, while this was 40 % in stage III-IV lung cancer patients. In a subgroup of patients that met current CT screening criteria (age 55-80 years and minimum 30 tobacco pack years) the sensitivity was 37 %.

CONCLUSION

The rationale of screening for lung cancer is to find patients in an early and resectable stage. However, the EarlyCDT® Lung test performed best in elderly, late stage lung cancer patients with a heavy smoking history. Based on these results, the current study finds insufficient sensitivity of the EarlyCDT® Lung test to be used as part of inclusion criteria in a low-dose CT program for detection of lung cancer.

Antigen Expression Varies Significantly between Molecular Subgroups of Acute Myeloid Leukemia Patients: Clinical Applicability Is Hampered by Establishment of Relevant Cutoffs

INTRODUCTION

In this single-center study of 268 acute myeloid leukemia (AML) patients, we have tested if a subset of 4 routinely employed immunophenotypic stem cell-associated markers correlated with the presence of recurrently mutated genes and if the markers were predictive for mutational status.

METHODS

Immunophenotypic data from 268 diagnostic AML samples obtained in 2009-2018 were analyzed retrospectively for the antigens CD34, CD117, CD123, and CLEC12A. Correlation between immunophenotypes and mutations was analyzed by Fischer's exact test. Clinical applicability of the markers for predicting mutational status was evaluated by receiver operating characteristics analyses, where an area under the curve (AUC) of at least 0.85 was accepted as clinically relevant.

RESULTS

For a number of genes, the antigen expression differed significantly between mutated and wild-type gene expression. Despite low AUCs, CD123 and CLEC12A correlated with FLT3+NPM1- and FLT3+NPM1+. Three subsets met the AUC requirements (CD34+, CD34+CD117+, and CD34-CD117+) for predicting FLT3-NPM1+ or FLT3+NPM1+.

CONCLUSION

The value of immunophenotypes as surrogate markers for mutational status in AML seems limited when employing CD123 and CLEC12A in combination with CD34 and CD117. Defining relevant cutoffs for given markers is challenging and hampered by variation between laboratories and patient groups.

Blood natural killer cells during treatment in recurrent ovarian cancer

OBJECTIVE

Recent research indicated favorable prognostic impact of intratumoral natural killer (NK) cells in ovarian carcinoma (OC). The role of NK cells during chemotherapy in OC is unknown. We investigated impact of NK cells in OC patients treated with palliative chemotherapy.

METHODS

Participants receiving palliative chemotherapy for recurrent OC (N = 72) had prospectively blood samples at baseline and before cycle 2. NK cell counts were quantified by flow cytometry. NK cell activity was measured by the NK Vue^® assay, estimating interferon-gamma production. Overall survival (OS) was the primary endpoint. Cutoffs were predefined, NK numbers (≥184 × 10⁶ cells/L vs. <184 × 10⁶ cells/L) and NK activity (<200 pg/mL vs. ≥200 pg/mL).

RESULTS

Median OS in patients with low vs. high NK cell count at baseline was 7.1 months vs. 15.6 months (p = .028), respectively, and before cycle 2 was 5.7 vs. 17.3 months, p < .001, respectively. The difference in restricted mean survival (ΔRMST) was 5.7 months (95% CI: 3.3-8.0) at cycle 2 vs. 2.5 months (95% CI: -0.6 to 5.6) at baseline, showing a significant difference with no overlap of confidence intervals. In multivariate analyses, low NK cell count remained significant with a hazard ratio (HR)=2.83, 95% CI: 1.53-5.22, p = .001 (baseline) and HR = 3.34, 95% CI: 1.67-6.71, p = .001 (before cycle 2). Patients with both low NK count and NK activity at baseline (N = 20) had median OS 6.5 months vs. 11.5 months in patients with either high activity, high count or both (p = .007). In parallel, patients with both low NK activity and count at cycle 2 (N = 18) had a median survival of 4.0 months vs. 15.4 months (p < .001).

CONCLUSIONS

A low blood NK cell count in recurrent metastatic ovarian cancer during chemotherapy is associated with unfavorable prognostic impact. Early increase in survival difference based on NK cell status suggests an association between NK cell count and treatment benefit.

Validation of tumor DNA in bronchial lavage as a diagnostic tool in lung cancer

9020

Background: Diagnosing lung cancer requires invasive procedures with risk of complications for the patient. The HOXA9 gene is highly methylated in lung cancer, and methylated tumor DNA (meth-tDNA) in bronchial lavage has previously shown potential as a diagnostic biomarker. The aim of the present study was to validate these preliminary results. Methods: Patients were referred by the general practitioner on suspicion of lung cancer. The Danish diagnostic package includes chest and abdominal CT scan, bronchoscopy, blood tests, and histopathological or cytological verification. Twelve ml lavage fluid was collected at bronchoscopy for analysis of meth-tDNA based on droplet digital PCR according to our published method. A positive test was defined as ≥ 4 droplets containing meth-tDNA and a ratio between HOXA9 and Albumin of > 0.15%. The analysis was performed blinded to clinical data and meth-tDNA status was compared with the final diagnosis. Results: The study population was 204 consecutively enrolled patients. The material consisted of a discovery cohort (n = 105, presented at ASCO 2019) used for establishing the cut-points, and a validation cohort (n = 99). Six were excluded from analysis due to malignancy other than lung cancer and one due to failed analysis. In the discovery cohort, the sensitivity was 68.7% (95% CI 56.2-79.4%), specificity 88.2% (95% CI 72.6-96.7%), and positive predictive value (PPV) 92.0% (95% CI 80.8-97.8%). In the validation cohort, the same values were 76.9% (95% CI 63.2-87.5%), 77.3% (95% CI 62.2-88.5%), and 80.0% (95% CI 66.3-90.0%), respectively. Analyzing the entire patient material (n = 197) the sensitivity, specificity, and PPV were 72.3% (95% CI 63.3-80.1%), 82.1% (95% CI 71.7-89.8%), and 86.0% (95% CI 77.6-92.1%), respectively. The false positive samples were equally distributed among patients with cryptogenic organizing pneumonia, granulomatous inflammation, and acute inflammatory disease. The false negative samples were mainly from patients with peripheral tumor, no radiologically detectable tumor, and mesothelioma. Conclusions: Meth-tDNA in bronchial lavage holds potential as a supplementary tool in the diagnosis of lung cancer with a clinically relevant sensitivity and specificity. Routine clinical application awaits further validation in a clinical trial. [Table: see text]

Prognostic significance of baseline T cells, B cells and neutrophil-lymphocyte ratio (NLR) in recurrent ovarian cancer treated with chemotherapy

Purpose

Biomarkers are needed to guide treatment decisions in recurrent ovarian cancer, as a high proportion of patients do not benefit from treatments. Data on immune subsets in patients receiving chemotherapy are scarce. We investigated the impact of T cells, B cells, neutrophils and the neutrophil-lymphocyte ratio (NLR) in ovarian cancer patients receiving palliative chemotherapy.

Methods

Blood samples were collected prospectively at baseline in recurrent ovarian cancer (N = 72) receiving chemotherapy. T cells, B cells, neutrophils, and NLR were analyzed. Primary and secondary endpoints were overall survival (OS) and treatment response, respectively. Cut-offs for T and B cells were predefined.

Results

In patients with low vs. high T and B cells counts, OS was 6.1 months vs 12.0 months (P = 0.017) and 6.1 months vs 12.0 months (P = 0.011, respectively. Low T and B cells analyzed as continuous variables were also associated with unfavorable OS, P = 0.011 and P = 0.007, respectively. Neutrophils had no significant prognostic impact. Median NLR was 4.1. High vs. low NLR was associated with poor survival, 7.4 months vs. 15.9 months (P = 0.012). In multivariate analysis including platinum sensitivity, number of prior lines of chemotherapy, and performance status, high NLR remained an independent poor prognostic factor HR: 2.17 (95% CI 1.21–3.88) (P = 0.009). High NLR was also significantly associated with lack of response, OR 0.15 (95% CI: 0.04–0.51) (P = 0.002).

Conclusion

In recurrent ovarian cancer patients undergoing palliative chemotherapy, low T and B lymphocyte counts had an unfavorable prognostic impact. High NLR was associated with lack of response and a poor prognosis, and the parameter may be used in patient counselling and treatment decisions.

Correlation Between Natural Killer Cell Activity and Treatment Effect in Patients with Disseminated Cancer

INTRODUCTION

The aim of the present study was to analyze the possible correlation between Natural Killer (NK) cell activity as measured by the NK Vue assay and treatment efficacy in patients with disseminated cancer.

MATERIALS AND METHODS

The study included four trials encompassing palliative treatment, i.e. one trial on prostate- and ovarian cancer, respectively, and two trials on colorectal cancer. The current results are based on 93 patients with mature data on treatment effect. Blood samples were collected at baseline and prior to each treatment cycle into NK Vue. Following 24 hours of stimulation the level of interferon-gamma (IFNγ) in the plasma was measured as a surrogate for NK cell activity.

RESULTS

The relationship between NK cell activity and treatment response was similar across tumor types and treatment. The IFNγ either remained at or dropped to an abnormal level (<200 pg/mL) during treatment in group 1 (n = 35). In group 2 (n = 30) the level remained within a normal range (>200 pg/mL), while in group 3 (n = 28) it increased from an abnormal to a normal level. The response rate was 14%, 47%, and 82%, respectively, P < .001. The median progression free survival was 2.6 months (95% confidence interval (CI) 2.1-3.9), 10.0 months (95% CI 6.5-11.1), and 8.3 months (95% CI 6.5-8.7), respectively, P < .001 (log-rank).

CONCLUSION

Patients lacking the ability to mount an immune response during the first 2 months of treatment have a poor prognosis, and their clinical benefit of the treatment is questionable.

Quantification of NK cell activity using whole blood: Methodological aspects of a new test

Natural Killer (NK) cells are essential in the biological fight against cancer and intracellular pathogens, and their level of activity has in many settings been used as a biomarker for a functional immune response. Currently, NK cell activity is measured using either ⁵¹Cr-release assays or flow cytometry based assays revealing the cells´ cytotoxic capacity or by stimulating them to produce cytokines. Although very effective, these are cumbersome techniques not suitable for high volume clinical laboratories. Recently, an assay has been introduced to measure NK cell activity in a simple and standardized manner. Following stimulation of NK cells in whole blood with a recombinant protein, it utilizes the concentration of IFNγ released to the plasma as a surrogate marker for NK cell activity. However, whole blood holds several sources of IFNγ which may blur the results and hamper the interpretation of the test. Therefore, the present study aimed at analyzing how specifically the test is measuring the activity of NK cells. Intracellular flow cytometry showed that NK cells, T cells, and Natural Killer T (NKT) cells were producing IFNγ in the assay, however when analyzing the distribution of lymphocytes in the IFNγ-expressing subset, the proportion of NK cells far exceeded the percentage of T-, and NKT cells (p < .0001). Hence, our data indicate that the readout of the test was indicative of the NK cells´ ability to mount a response and thus the results may pave the way for the assay to become applicable in the clinical setting as an estimate of NK cell activity for both diagnostic and prognostic purposes.

Distinguishing myelofibrosis from polycythemia vera and essential thrombocythemia: The utility of enumerating circulating stem cells with aberrant hMICL expression by flow cytometry

INTRODUCTION

Diagnosing BCR-ABL negative myeloproliferative neoplasms (MPN) may be challenging due to overlapping features and lack of robust discriminatory parameters, especially between essential thrombocythemia (ET) and prefibrotic myelofibrosis (MF). Circulating immature hematopoietic cells are variably present in polycythemia vera (PV), ET, and MF. The C-type lectin hMICL is aberrantly expressed on hematopoietic stem cells in the majority of acute myeloid leukemia patients. However, the hMICL expression in MPN, having varying propensity of leukemic transformation, is unsettled. We hypothesized that enumeration of immature cells by flow cytometry (FCM) could be a discriminatory tool in MPN diagnostics.

METHODS

By FCM, we quantified circulating stem cells with aberrant hMICL expression in 39 MPN patients, 10 age-matched controls, and in leukapheresis products from 10 patients with lymphoproliferative neoplasms. The utility of the FCM assay for discriminating MPN entities was evaluated by applying ROC curve analysis.

RESULTS

While hMICL was absent in control samples, MF patients had significantly more hMICL+ stem cells (median 15.2%) than PV and ET (0.0%, P = .001 and 0.0%, P = .002, respectively). By ROC curve analysis, the presence of hMICL+ stem cells (>0 cells) in peripheral blood reliably discriminates MF from ET and PV with a sensitivity of 80% and a specificity of 97%.

CONCLUSION

Enumeration of circulating hMICL+ stem cells by FCM can discriminate between MPN phenotypes and holds potential for monitoring disease evolution.

Natural killer cell activity: A test for immune reactivity with clinical perspectives

87

Background: Natural Killer (NK) cells are essential in the biological fight against cancer and the activity of these cells has been suggested as a biomarker for immunological reaction in cancer patients. An assay has been introduced to measure NK cell activity (NKA) in a simple and standardized manner. Following stimulation of NK cells in whole blood with a recombinant protein, it utilizes the concentration of interferon-gamma (IFNγ) in plasma as a surrogate marker for NKA. This study aimed to verify that the test was indeed measuring NKA and whether it could predict the response to cytostatic treatment in metastatic colorectal cancer (mCRC). Methods: Blood was collected in dedicated tubes (NK Vue Promoca) and placed at 37°C. After 24 hours the plasma was analyzed for IFNγ by ELISA (NK Vue ELISA). Blood from patients with mCRC (n = 22) were sampled at baseline and prior to each treatment cycle, and IFNγ levels were compared to response data from first evaluation. The protocol is ongoing hence the results are preliminary. In healthy controls (n = 8), IFNγ was measured intracellularly using flow cytometry at baseline and after 5-, 10-, 15-, 20-, 24-, and 28 hours of incubation. Results: When analyzing the distribution of cells among the IFNγ expressing subset, the proportion of NK cells was significantly different than that of monocytes, T-, and NKT cells at all time points of incubation (p < 0.0001), thus suggesting that the readout of the test was indicative of the NK cells´ ability to mount a response. Using the NKA test, plasma levels of IFNγ in healthy controls were all above 200pg/mL after 24 hours of incubation. The mCRC patients were divided into three NKA groups: 1) IFNγ dropped below 200pg/mL or remained below that level throughout treatment (n = 9), 2) IFNγ remained above 200pg/mL throughout treatment (n = 5), and 3) IFNγ changed from being below 200pg/mL to above that level during treatment (n = 8). The response rates were 11%, 40%, and 100%, respectively, and the difference was significant (p < 0.001). The positive and negative predictive values of increasing IFNγ were 100% and 79%. Conclusions: These data suggest that increasing NK cell activity during treatment has predictive potential in mCRC. The NKA test performs reliably in this setting. Clinical trial information: NCT02705300.

Mapping the CLEC12A expression on myeloid progenitors in normal bone marrow; implications for understanding CLEC12A-related cancer stem cell biology

The C-type lectin domain family 12, member A (CLEC12A) receptor has emerged as a leukaemia-associated and cancer stem cell marker in myeloid malignancies. However, a detailed delineation of its expression in normal haematopoiesis is lacking. Here, we have characterized the expression pattern of CLEC12A on the earliest stem- and myeloid progenitor subsets in normal bone marrow. We demonstrate distinct CLEC12A expression in the classically defined myeloid progenitors, where on average 39.1% (95% CI [32.5;45.7]) of the common myeloid progenitors (CMPs) expressed CLEC12A, while for granulocyte-macrophage progenitors and megakaryocyte-erythroid progenitors (MEPs), the average percentages were 81.0% (95% CI [76.0;85.9]) and 11.9% (95% CI [9.3;14.6]), respectively. In line with the reduced CLEC12A expression on MEPs, functional assessment of purified CLEC12A^+/- CMPs and MEPs in the colony-forming unit assay demonstrated CLEC12A⁺ subsets to favour non-erythroid colony growth. In conclusion, we provide evidence that the earliest CLEC12A⁺ cell in the haematopoietic tree is the classically defined CMP. Furthermore, we show that CLEC12A-expressing CMPs and MEPs are functionally different than their negative counterparts. Importantly, these data can help determine which cells will be spared during CLEC12A-targeted therapy, and we propose CLEC12A to be included in future studies of myeloid cancer stem cell biology.

The CLEC12A receptor marks human basophils: Potential implications for minimal residual disease detection in acute myeloid leukemia

BACKGROUND

The transmembrane receptor C-type lectin domain family 12, member A (CLEC12A) is known to be highly expressed on monocytes and neutrophils and is a reliable leukemia associated marker in acute myeloid leukemia. Consequently, detailed knowledge of the various normal cell types expressing this receptor is essential. We have observed CLEC12A to be expressed on CD45lowSSClowCD14-CD123+ basophils in peripheral blood (PB) and in this study, we aimed at verifying this observation and further delineate the CD45lowSSClowCD14-CD123 + CLEC12A+ subpopulation.

METHODS

We analyzed PB from 20 diagnostic chronic myeloid leukemia (CML) samples and eight healthy donors in a six-color multicolor flowcytometry (FCM) based assay. Furthermore, we performed fluorescence activated cell sorting on one CML sample to morphologically confirm the CD45lowSSClowCD14-CD123 + CLEC12A+ subset to be highly enriched for basophils. Finally, to further delineate the CD45lowSSClowCD14-CD123 + CLEC12A+ subpopulation in normal PB, we examined three healthy donors in a 10-color FCM assay enabling further separation of the cell subset into basophils and dendritic cells.

RESULTS

The CLEC12A receptor is expressed on basophils.

CONCLUSIONS

Identification and enumeration of basophils is of high relevance in diagnostic hematology and immunology. We here show that CLEC12A in a simple FCM assay consistently marks basophils. Importantly, as basophils are characterized by a CD45lowSSClow profile similar to the "blast-gate" used for the evaluation of hematological disorders, awareness of minor normal CLEC12A+ subpopulations is crucial when using CLEC12A as a minimal residual disease marker in myeloid malignancies. © 2017 International Clinical Cytometry Society.

Unravelling the relevance of CLEC12A as a cancer stem cell marker in myelodysplastic syndrome

Evidence of distinct disease propagating stem cells in myelodysplastic syndrome (MDS) has emerged in recent years. However, immunophenotypic characterization of these cancer stem cells remains sparse. In acute myeloid leukaemia (AML), we have previously described aberrant expression of the C-type lectin domain family 12, member A (CLEC12A) as a stable and reliable marker of leukaemia blasts and as a tool for assessing minimal residual disease. Furthermore, CLEC12A has been proposed as a promising marker of leukaemic stem cells in AML. The role of CLEC12A in MDS, however, remains to be elucidated. In this study, we found CLEC12A aberrantly expressed on the CD34⁺ CD38^- cell compartment in 71% (22/31) of MDS patients, distributed across all Revised International Prognostic Scoring System risk groups. We showed that the CD34⁺ CD38^- CLEC12A⁺ cells were indeed malignant and possessed functional stem cell properties in the long-term colony-initiating cell assay. As opposed to reported findings in AML, we showed that cancer stem cells from MDS samples derived from both CLEC12A positive and negative CD34⁺ CD38^- subpopulations. Due to the absence of CLEC12A on normal haematopoietic stem cells, CLEC12A stem cell immunophenotyping may contribute to diagnosing and monitoring MDS patients and could furthermore add knowledge about disease propagating cells in MDS.

Novel scripts for improved annotation and selection of variants from whole exome sequencing in cancer research

Sequencing the exome is quickly becoming the preferred method for discovering disease-inducing mutations. While obtaining data sets is a straightforward procedure, the subsequent analysis and interpretation of the data is a limiting step for clinical applications. Thus, while the initial mutation and variant calling can be performed by a bioinformatician or trained researcher, the output from robust packages such as MuTect and GATK is not directly informative for the general life scientists. In attempt to obviate this problem we have created complementary Wolfram scripts, which enable easy downstream annotation and selection, presented here in the perspective of hematological relevance. It also provides the researcher with the opportunity to extend the analysis by having a full-fledged programming and analysis environment of Mathematica at hand. In brief, post-processing is performed by:

•

Mapping of germ line and somatic variants to coding regions, and defining variant sets within Mathematica.

•

Processing of variants in variant effect predictor.

•

Extended annotation, relevance scoring and defining focus areas through the provided functions.

Nature and nurture: a case of transcending haematological pre-malignancies in a pair of monozygotic twins adding possible clues on the pathogenesis of B-cell proliferations

We describe a comprehensive molecular analysis of a pair of monozygotic twins, who came to our attention when one experienced amaurosis fugax and was diagnosed with JAK2+ polycythaemia vera. He (Twin A) was also found to have an asymptomatic B-cell chronic lymphocytic leukaemia (B-CLL). Although JAK2-, Twin B was subsequently shown to have a benign monoclonal B-cell lymphocytosis (MBL). Flow cytometric and molecular analyses of the B-cell compartments revealed different immunoglobulin light and heavy chain usage in each twin. We hypothesized that whole exome sequencing could help delineating the pattern of germline B-cell disorder susceptibility and reveal somatic mutations potentially contributing to the differential patterns of pre-malignancy. Comparing bone marrow cells and T cells and employing in-house engineered integrative analysis, we found aberrations in Twin A consistent with a myeloid neoplasm, i.e. in TET2, RUNX1, PLCB1 and ELF4. Employing the method for detecting high-ranking variants by extensive annotation and relevance scoring, we also identified shared germline variants in genes of proteins interacting with B-cell receptor signalling mediators and the WNT-pathway, including IRF8, PTPRO, BCL9L, SIT1 and SIRPB1, all with possible implications in B-cell proliferation. Similar patterns of IGHV-gene usage to those demonstrated here have been observed in inherited acute lymphoblastic leukaemia. Collectively, these findings may help in facilitating identification of putative master gene(s) involved in B-cell proliferations in general and MBL and B-CLL in particular.

Diagnosing and following adult patients with acute myeloid leukaemia in the genomic age

The diagnosis and follow-up process of adult patients with acute myeloid leukaemia (AML) is challenging to clinicians and laboratory staff alike. While several sets of recommendations have been published over the years, the development of high throughput screening and characterization for both genetic and epigenetic events have evolved with astonishing speed. Here we attempt to provide a practical guide to diagnose and follow adult AML patients with a focus on how to balance the wealth of information on the one hand, with the restriction put on these processes in terms of time, feasibility and economy when caring for these patients, on the other.

Persistence of DNMT3A mutations at long-term remission in adult patients with AML

Mutations in DNMT3A, the gene encoding DNA methyltransferase 3 alpha, have been identified as molecular drivers in acute myeloid leukaemia (AML) with possible implications for minimal residual disease monitoring and prognosis. To further explore the utility of DNMT3A mutations as biomarkers for AML, we developed assays for sensitive detection of recurrent mutations affecting residue R882. Analysis of DNA from 298 diagnostic AML samples revealed DNMT3A mutations in 45 cases (15%), which coincided with mutations in NPM1, FLT3 and IDH1. DNMT3A mutations were stable in 12 of 13 patients presenting with relapse or secondary myelodysplastic syndrome, but were also present in remission samples from 14 patients (at allele frequencies of <1-50%) up to 8 years after initial AML diagnosis, despite the loss of all other molecular AML markers. The mutant DNMT3A allele burden was not related to the clinical course of disease. Cell sorting demonstrated the presence of DNMT3A mutations in leukaemic blasts, but also at lower allele frequencies in T and B-cells from the same patients. Our data are consistent with the recent finding of preleukaemic stem cells in AML, which are resistant to chemotherapy. The persistence of DNMT3A mutations during remission may have important implications for the management of AML.

Cell sorting enables interphase fluorescence in situ hybridization detection of low BCR-ABL1 producing stem cells in chronic myeloid leukaemia patients beyond deep molecular remission

The exact disease state of chronic myeloid leukaemia (CML) patients in deep molecular remission is unknown, because even the most sensitive quantitative reverse transcription polymerase chain reaction (qPCR) methods cannot identify patients prone to relapse after treatment withdrawal. To elucidate this, CD34(+) stem cell and progenitor cell subpopulations were isolated by fluorescence-activated cell sorting (FACS), and their content of residual Philadelphia positive (Ph(+) ) cells was evaluated in 17 CML patients (major molecular response, n = 6; 4-log reduction in BCR-ABL1 expression (MR(4) ), n = 11) using both sensitive qPCR and interphase fluorescence in situ hybridization (iFISH). Despite evaluating fewer cells, iFISH proved superior to mRNA-based qPCR in detecting residual Ph(+) stem cells (P = 0·005), and detected Ph(+) stem- and progenitor cells in 9/10 patients at frequencies of 2-14%. Moreover, while all qPCR(+) samples also were iFISH(+) , 9/33 samples were qPCR-/iFISH(+) , including all positive samples from MR(4) patients. Our findings show that residual Ph(+) cells are low BCR-ABL1 producers, and that DNA-based methods are required to assess the content of persisting Ph(+) stem cells in these patients. This approach demonstrates a clinically applicable manner of assessing residual disease at the stem cell level in CML patients in MR(4) , and may enable early and safe identification of candidates for tyrosine kinase inhibitor withdrawal.

Common consensus LNA probe for quantitative PCR assays in cancer: vehicles for minimal residual disease detection in t(11;14) and t(14;18) positive malignant lymphomas

The use of locked nucleic acid (LNA) probes and primers potentially improves sensitivity and specificity of quantitative PCR (qPCR) assays. One area of application is that of minimal residual cancer where PCR techniques have proved to be highly relevant tools in patient follow-up. We present here sensitive and specific consensus qPCR assays for quantification of the malignant lymphoma translocations, t(11;14) and t(14;18), by taking advantage of the thermodynamic properties of LNA. The assays were applied to genomic DNA from patients diagnosed with mantle cell lymphoma (MCL) and follicular lymphoma (FL), respectively. Two consensus forward primers targeting the BCL1 and BCL2 genes were designed together with a common consensus reverse primer and hydrolysis probe, the latter consisting exclusively of LNA, both targeting the J segments of the immunoglobulin heavy chain (IgH) gene. The quantitative range of both assays was 1×10(0) to 5×10(-5), and the sensitivity was 10(-5), without the need for patient-specific primers. Peripheral blood (PB) and bone marrow (BM) samples from 36 patients diagnosed with MCL and nine patients diagnosed with FL were analysed using this novel qPCR approach. The level of minimal residual disease (MRD) using t(11;14) and t(14;18) as genetic targets reflected the clinical status of the patients: low levels of MRD at clinical remission, and increasing levels at disease progression. The present assays could prove as useful tools in lymphoma therapy.

hMICL and CD123 in combination with a CD45/CD34/CD117 backbone - a universal marker combination for the detection of minimal residual disease in acute myeloid leukaemia

Real-time quantitative polymerase chain reaction (qPCR) has been extensively validated for the detection of minimal residual disease (MRD) in acute myeloid leukaemia (AML). Meanwhile, multicolour flow cytometry (MFC) has received less attention because the so-called leukaemia-associated immunophenotypes (LAIPs) are generally of lower sensitivity and specificity, and prone to change during therapy. To improve MRD assessment by MFC, we here evaluate the combination of human Myeloid Inhibitory C-type Lectin (hMICL, also termed C-type lectin domain family 12, member A, CLEC12A) and CD 123 (also termed interleukin-3 receptor alpha, IL3RA) in combination with CD34 and CD117 (KIT), as an MRD assay in pre-clinical and clinical testing in 69 AML patients. Spiking experiments revealed that the assay could detect MRD down to 10(-4) in normal bone marrow with sensitivities equalling those of validated qPCR assays. Moreover, it provided at least one MFC MRD marker in 62/69 patients (90%). High levels of hMICL/CD123 LAIPs at the post-induction time-point were a strong prognostic marker for relapse in patients in haematological complete remission (P < 0·001). Finally, in post induction samples, hMICL/CD123 LAIPs were strongly correlated (r = 0·676, P = 0·0008) to applied qPCR targets. We conclude the hMICL/CD123-based MFC assay is a promising MRD tool in AML.

Increased expression of CD69 on T cells as an early immune marker for human cytomegalovirus reactivation in chronic lymphocytic leukemia patients

Reactivation of human cytomegalovirus (HCMV) remains a serious problem in immunosuppressed individuals. To investigate whether a change in the immune status can be used as an earlier marker for HCMV reactivation than the traditional PCR analysis, eight chronic lymphocytic leukemia (CLL) patients at risk for reactivation due to commencement of alemtuzumab (anti-CD52) treatment were longitudinally followed. Five series of consecutive weekly blood samples were immunophenotyped by flow cytometry to cover both the innate and adaptive immune responses. Concurrently, patients were monitored by PCR for HCMV reactivation. We found a minor upregulation of the early activation marker CD69 on NK cells immediately before HCMV was detected in circulation by PCR. Interestingly, for the specific immune response, CD69 was highly upregulated on CD3(+) T cells, especially for the CD8(+) subset, in the two patients experiencing an HCMV reactivation between 6 and 20 d before HCMV viremia was measured by PCR. Moreover, a CD4(+):CD8(+) ratio lower than 0.6 may indicate a trend toward an increased risk for viral reactivation. In conclusion, an increase in CD69 expression is a promising candidate as an early predictor of HCMV reactivation.

Interleukin-21 and rituximab enhance NK cell functionality in patients with B-cell chronic lymphocytic leukaemia

We have examined natural killer (NK) cell functionality of 54 B-CLL patients upon in vitro stimulation with interleukin-21 (IL-21), together with the anti-CD20 antibody, rituximab. Upon stimulation with rituximab-coated target cells IFN-γ production was reduced in patients' NK cells compared to healthy donors', while both natural- and antibody-dependent cytotoxicity (ADCC) was normal. Following additional stimulation with IL-21, IFN-γ production, natural cytotoxicity and ADCC were significantly augmented in patients. A complete restoration of IFN-γ production, however, required the depletion of malignant cells prior to stimulation. Collectively, our data show that NK cells of B-CLL patients are reversibly inhibited, but that their functionality can be normalized by stimulation with IL-21 and when inhibitory effects of the malignant B-CLL cells are eliminated by depletion.

The effect of IgG levels on the number of natural killer cells and their Fc receptors in chronic inflammatory demyelinating polyradiculoneuropathy

BACKGROUND AND PURPOSE

High-dose intravenous immunoglobulin (IVIg) is an established treatment for chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). Although Fc receptors on natural killer cells have been suggested as a target for IVIg, the pharmacological effects are not yet clarified. We hypothesize that IVIg therapy, dependent on the plasma IgG level, suppresses the cytotoxic capacity by a reduction in numbers of NK cells and their Fc receptor CD16.

PATIENTS AND METHODS

Ten consecutive patients with CIDP in maintenance therapy with IVIg were studied before and immediately after the infusion of 0.7-2.0 g/kg IVIg. Peripheral blood mononuclear cell samples from these patients were analyzed immediately after isolation using flow cytometry and cytotoxicity assays.

RESULTS

We found that following IVIg treatment, the cytotoxic activity of NK cells in CIDP patients was suppressed, partly caused by a dose-dependent decline in the number of circulating NK cells. In addition, a dose-dependent blockage of CD16 occurred.

CONCLUSIONS

The study implies that IVIg infusion induces a substantial decline in the number of peripheral NK cells and a suppression of NK-cell-mediated cytotoxicity. We propose that these impairments of the NK cells contribute to the therapeutic effect of IVIg in CIDP.