Validation of prognostic scores for survival in cancer patients beyond first-line therapy

Pembrolizumab in Lymphopenic Metastatic Breast Cancer Patients Treated with Metronomic Cyclophosphamide: A Clinical and Translational Prospective Study

Purpose

Metastatic endocrine-resistant breast cancer (MBC) is a disease with poor prognosis and few treatment options. Low lymphocyte count is associated with limited overall survival. In a prospective cohort of lymphopenic patients with HER-2 negative MBC, we assessed the clinical and biological impact of pembrolizumab combined with metronomic cyclophosphamide.

Experimental Design

This multicenter Phase II study evaluated the safety and clinical activity of pembrolizumab (intravenous (IV), 200mg, every 3 weeks) combined with metronomic cyclophosphamide (50mg/day, per os) in lymphopenic adult patients with HER2-negative MBC previously treated by at least one line of chemotherapy in this setting according to a Simon's minimax two-stage design. Blood and tumor samples were collected to assess the impact of the combined treatment on circulating immune cells and the tumor immune microenvironment through multiparametric flow cytometry and multiplex immunofluorescence analyses. Primary endpoint was the clinical benefit rate at 6 months of treatment (CBR-6M). Secondary endpoints were objective response rate (ORR), duration of response, progression free survival (PFS), and overall survival (OS).

Results

Two out of the twenty treated patients presented clinical benefit (one Tumor Mutational Burden (TMB)-high patient with complete response (CR) and one patient with objective response (OR) per Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST V1.1) associated with a strong increase of cytokine-producing and proliferating CD4⁺ T cells and higher CD8⁺ T cells to macrophage ratios in the tumor. This impact on CD4⁺ and CD8⁺ T cell polyfunctionality was still observed more than one year for the patient with CR. A decreased in their absolute number of CD4⁺ and CD8⁺ memory T cells was observed in other patients.

Conclusion

Pembrolizumab combined with metronomic cyclophosphamide was well tolerated, and displayed limited anti-tumoral activity in lymphopenic MBC. Correlative translational data of our trial advocates for additional studies with other chemotherapy combinations.

Validation of the geriatric vulnerability score in older patients with ovarian cancer: an analysis from the GCIG-ENGOT-GINECO EWOC-1 study

BACKGROUND

Older patients with ovarian cancer represent a heterogeneous population. The French National Group of Investigators for the Study of Ovarian and Breast Cancer developed the geriatric vulnerability score (GVS) to identify geriatric parameters predictive of poor outcomes. A prospective validation of the GVS was needed.

METHODS

The EWOC-1 study (NCT02001272) was an international, open-label, phase 2, three-arm trial designed according to a two-step process. Patients aged 70 years or older with newly diagnosed stage III or IV ovarian cancer were identified and the GVS determined. Those with a GVS of 3 or greater were randomly assigned to the EWOC-1 trial, stratified by country and surgical outcome, to receive three different carboplatin with or without paclitaxel regimens; those not included in the EWOC-1 trial were followed up in the EWOC-1 registry. External validation of the GVS was a secondary endpoint of the trial. Three validation cohorts were identified: the total population (validation cohort 1 [V1], n=447), the registry-only population (validation cohort 2 [V2], n=327), and the carboplatin-paclitaxel-treated population (validation cohort 3 [V3], n=320).

FINDINGS

From Dec 11, 2013, to Nov 16, 2018, 447 patients were included in 48 academic centres in six countries; 120 in the EWOC-1 trial and 327 in the EWOC-1 registry. Median follow-up was 19·7 (95% CI 8·5-29·7) months for the total cohort; missing values were low (<2%). According to the maximum likelihood analysis, the hazard ratio (HR) of death in V1 was 1·8 (95% CI 1·1-3·1, p=0·029) for those with a GVS of 1; 2·4 (1·4-4·0, p=0·0009) with a GVS of 2; 4·1 (2·5-7·0, p<0·0001) for a GVS of 3; 5·5 (3·3-9·3, p<0·0001) for a GVS of 4; and 9·1 (4·7-17·5, p<0·0001) for a GVS of 5 compared with a score of 0. Whatever the validation cohort, GVS of 3 or more significantly segregated two groups with different overall survival: V1 (median 13·2 [95% CI: 10·8-18·7] vs 40·8 [32·0-45·6] months; HR 2·8 [95% CI 2·2-3·7]; p<0·0001); V2 (11·9 [95% CI 8·8-18·1] vs 40·8 [32·0-45·6] months, HR 3·5 [2·5-4·9]; p<0·0001); and V3 (18·1 [95% CI 15·8-31·8] vs 43·0 [40·6-49·7] months, HR 2·6 [1·9 to 3·7]; p<0·0001).

INTERPRETATION

The GVS has high prognostic performance for overall survival in patients with advanced ovarian cancer, independently of geographic and historic effect (V1), as well as treatment patterns (V3), validated in an international population. Even though the GVS is time consuming it will allow the stratification of populations for clinical research and might permit the orientation of the geriatric intervention to specific domains.

FUNDING

French National Cancer Institute.

TRANSLATION

For the French translation of the abstract see Supplementary Materials section.

A Prognostic Model to Facilitate Palliative Care Referral in Oncology Outpatients

Purpose

We aimed to develop a prognostic model to assist palliative care referral at least 3 months before death in advanced cancer patients treated at an outpatient medical oncology clinic.

Materials and Methods

In this prospective cohort study, a total of 200 patients were enrolled at a tertiary cancer center in South Korea. The major eligibility criterion was an expected survival of less than a year as estimated by their oncologists. We analyzed the influences of known prognostic factors along with chemotherapy status, mid-arm circumference, and triceps skinfold thickness on survival time.

Results

The mean age of the patients was 64.5 years, 36% were female, and the median survival time was 7.6 months. In the multivariate analysis, we found six significant factors related to poor survival: a poor Eastern Cooperative Oncology Group (ECOG) performance status (≥ 2), not undergoing chemotherapy, anorexia, a low lymphocyte level (< 12%), a high lactate dehydrogenase (LDH) level (≥ 300 IU/L), and a low mid-arm circumference (< 23 cm). We developed a prognostic model (score, 0–8.0) to predict 3-month survival based on the multivariate analysis. Patients who scored ≥ 4.0 points had a short survival of less than 3 months (p < 0.001). The discriminating ability of the prognostic model using the area under the receiver operating characteristic curve was 0.88.

Conclusion

The prognostic model using ECOG performance status, chemotherapy status, anorexia, lymphocytes, LDH, and mid-arm circumference can predict 3-month survival in medical oncology outpatients. It can alert oncologists to refer patients to palliative care specialists before it is too late.

Association of lactate dehydrogenase with mortality in incident hemodialysis patients

BACKGROUND

Lactate dehydrogenase (LDH) plays a role in the glucose metabolism of the human body. Higher LDH levels have been linked to mortality in various cancer types; however, the relationship between LDH and survival in incident hemodialysis (HD) patients has not yet been examined. We hypothesized that higher LDH level is associated with higher death risk in these patients.

METHODS

We examined the association of baseline and time-varying serum LDH with all-cause, cardiovascular and infection-related mortality among 109 632 adult incident HD patients receiving care from a large dialysis organization in the USA during January 2007 to December 2011. Baseline and time-varying survival models were adjusted for demographic variables and available clinical and laboratory surrogates of malnutrition-inflammation complex syndrome.

RESULTS

There was a linear association between baseline serum LDH levels and all-cause, cardiovascular and infection-related mortality in both baseline and time-varying models, except for time-varying infection-related mortality. Adjustment for markers of inflammation and malnutrition attenuated the association in all models. In fully adjusted models, baseline LDH levels ≥360 U/L were associated with the highest risk of all-cause mortality (hazard ratios = 1.19, 95% confidence interval 1.14-1.25). In time-varying models, LDH >280 U/L was associated with higher death risk in all three hierarchical models for all-cause and cardiovascular mortality.

CONCLUSIONS

Higher LDH level >280 U/L was incrementally associated with higher all-cause and cardiovascular mortality in incident dialysis patients, whereas LDH <240 U/L was associated with better survival. These findings suggest that the assessment of metabolic functions and monitoring for comorbidities may confer survival benefit to dialysis patients.

Value of Cancer Ratio plus and Cancer Ratio Formulation in Distinguishing Malignant Pleural Effusion from Tuberculosis and Parapneumonic Effusion

Background

The aim of our study is to determine the clinical availability accessibility of cancer ratio and cancer ratio plus formulations, previously validated and reported to have clinical value in distinguishing malignant pleural effusion from tuberculosis pleurisy and parapneumonic effusion.

Materials and Methods

Retrospective study of patients hospitalized with Malignant Pleural Effusion (MPE), tuberculosis (TPE) and pararapneumonic effusion (PPE) between 2009 and 2018.

Results

Totally 232 patients, 101(43.5 %) having MPE, 86 (37.1 %) having PPE and 45 (19.4 %) TPE were examined. When compared with each other, "serum LDH / PS Lymphocyte %", "Cancer ratıo" and "Cancer ratıo plus" values were statistically different between the groups (p = 0.021, p <0.001 and p = 0.015, respectively). In multivariate logistic regression analysis, cancer ratio, serum LDH: pleural fluid lymphocyte count ratio was in positive correlation with MPE. The sensitivity and specificity of "cancer ratio", "cancer ratio plus" and "ratio of serum LDH: pleural fluid lymphocyte count" were 84.2 % (95% CI 75.6- 90.7) and 52.7 (95% CI 43.8- 61.5), and 82.2 % (95% CI 73.3- 89.1) and 45.8 (95%CI 37.1- 54.7), 53.5% (95% CI 43.3- 63.5) and 67.2% (95% CI 0.68-0.94) at the cut-off level of >14.25, >28.7, and >636, respectively. When considering only MPE and TPE patients, the specificity of cancer ratıo and cancer ratıo plus increased.

Conclusion

The cancer ratio plus rate (the ratio of "cancer ratio"formulation to the percentage of differential pleural lymphocyte count) was almost the same as the cancer ratio in separating the malignant pleural effusion from the TPE and PPE, while it has better specificity only in differentiating malignant effusions from tuberculosis effusions.

Prediction scoring system based on clinicohematologic parameters for cervical cancer patients undergoing chemoradiation

OBJECTIVE

A scoring system based on clinicohematologic parameters in cervical cancer patients receiving chemoradiation has not been reported to date. The aim of this study was to determine the prognostic value of clinicohematologic parameters in patients with cervical cancer undergoing chemoradiation and to develop a prediction scoring system based on these results.

METHODS

A total of 107 patients who received definitive chemoradiation for cervical cancer were enrolled in this study. The clinical data and hematologic parameters were retrospectively reviewed, and their prognostic value in predicting survival was analyzed. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) and the changes in these hematologic parameters (ΔNLR, ΔPLR, and ΔLMR) between pre- and post-treatment were calculated to determine the specific value of these parameters for predicting patient survival.

RESULTS

The median follow-up time was 39.9 (range 2.7-114.6) months. The 3-year overall survival rate and progression-free survival rate were 80.9% (95% CI 72.7 to 90.0) and 53.4% (95% CI 44.1 to 64.8), respectively. The median progression-free survival was 67.5 months and the median overall survival was not reached. According to multivariable analysis, a ΔNLR≥0 was significantly associated with decreased progression-free survival (HR=2.91, 95% CI 1.43 to 5.94) and overall survival (HR=3.13, 95% CI 1.18 to 8.27). In addition, age (age <58.5 years; progression-free survival: HR=2.55, 95% CI 1.38 to 4.70; overall survival: HR=4.49, 95% CI 1.78 to 11.33) and the International Federation of Gynecology and Obstetrics (FIGO) stage (Ⅲ-Ⅳ; progression-free survival: HR=2.49, 95% CI 1.40 to 4.43; overall survival: HR=3.02, 95% CI 1.32 to 6.90) were identified as predictors of poor survival.

CONCLUSIONS

Both the age and FIGO stage, as clinical parameters, and the ΔNLR, as a hematologic parameter, were independent prognostic factors for survival for cervical cancer patients treated with chemoradiation. Based on these results, we developed a risk score-based classification system for predicting survival.

Survival in Early Phase Immuno-Oncology Trials: Development and Validation of a Prognostic Index

Background

Immuno-oncology (IO) is rapidly evolving in early drug development. We aimed to develop and prospectively validate a prognostic index for patients treated in IO phase I trials to assist with patient selection.

Methods

The development cohort included 192 advanced solid tumor patients treated in 13 IO phase I trials, targeting immune checkpoint and/or co-stimulatory molecules. A prognostic scoring system was developed from multivariate survival analysis of 10 clinical factors, and subsequently validated in two independent validation cohorts (n = 152 and n = 80).

Results

In the development cohort, median age was 57.5 years (range = 20.4-84.8 years). Median progression-free survival and overall survival (OS) were 13.4 and 73.6 weeks, respectively, 90-day mortality was 16%, and overall response rate was 20%. In multivariate analysis, Eastern Cooperative Oncology Group performance status greater than or equal to 1 (hazard ratio [HR] = 3.2, 95% confidence interval [CI] = 1.8 to 5.7; P < .001), number of metastatic sites greater than 2 (HR = 2.0, 95% CI = 1.3 to 3.1; P = .003), and albumin less than the lower limit of normal (HR = 1.8, 95% CI = 1.2 to 2.7; P = .007) were independent prognostic factors; comprising the Princess Margaret Immuno-oncology Prognostic Index (PM-IPI). Patients with a score of 2-3 compared with patients with a score of 0-1 had shorter OS (HR = 3.4, 95% CI = 1.9 to 6.1; P < .001), progression-free survival (HR = 2.3, 95% CI = 1.7 to 3.2; P < .001), higher 90-day mortality (odds ratio = 8.1, 95% CI = 3.0 to 35.4; P < .001), and lower overall response rate (odds ratio = 0.4, 95% CI = 0.2 to 0.8; P = .019). The PM-IPI retained prognostic ability in both validation cohorts and performed better than previously published phase I prognostic scores for predicting OS in all three cohorts.

Conclusions

The PM-IPI is a validated prognostic score for patients treated in phase I IO trials and may aid in improving patient selection.

Spinal Metastasis Surgery: A Proposal for a Predictive Model of Morbidity and Mortality

Objective  To develop a predictive model of early postoperative morbidity and mortality with the purpose of assisting in the selection of the candidates for spinal metastasis surgery.

Methods  A retrospective analysis of consecutive patients operated for metastatic spinal disease. The possible prognostic preoperative characteristics were gender, age, comorbidities, tumor growth rate, and leukocyte and lymphocyte count in the peripheral blood. The postoperative outcomes were 30-day mortality, 90-day mortality and presence of complications. A predictive model was developed based on factors independently associated with these three outcomes. The final model was then tested for the tendency to predict adverse events, discrimination capacity and calibration.

Results  A total of 205 patients were surgically treated between 2002 and 2015. The rates of the 30-day mortality, 90-day mortality and presence of complications were of 17%, 42% and 31% respectively. The factors independently associated with these three outcomes, which constituted the predictive model, were presence of comorbidities, no slow-growing primary tumor, and lymphocyte count below 1,000 cells/µL. Exposure to none, one, two or three factors was the criterion for the definition of the following categories of the predictive model: low, moderate, high and extreme risk respectively. Comparing the risk categories, there was a progressive increase in the occurrence of outcomes, following a linear trend. The discrimination capacity was of 72%, 73% and 70% for 30-day mortality, 90-day mortality and complications respectively. No lack of calibration occurred.

Conclusion  The predictive model estimates morbidity and mortality after spinal metastasis surgery and hierarchizes risks as low, moderate, high and extreme.

PALLIA-10, a screening tool to identify patients needing palliative care referral in comprehensive cancer centers: A prospective multicentric study (PREPA-10)

Purpose

The identification and referral of patients in need of palliative care should be improved. The French society for palliative support and care recommended to use the PALLIA‐10 questionnaire and its score greater than 3 to refer patients to palliative care. We explored the use of the PALLIA‐10 questionnaire and its related score in a population of advanced cancer patients.

Methods

This prospective multicentric study is to be conducted in authorized French comprehensive cancer centers on hospitalized patients on a given day. We aimed to use the PALLIA‐10 score to determine the proportion of palliative patients with a score >3. Main secondary endpoints were to determine the proportion of patients already managed by palliative care teams at the study date or referred to palliative care in six following months, the prevalence of patients with a score greater than 5, and the overall survival using the predefined thresholds of 3 and 5.

Results

In 2015, eighteen French cancer centers enrolled 840 patients, including 687 (82%) palliative patients. 479 (69.5%) patients had a score >3, 230 (33.5%) had a score >5, 216 (31.4%) patients were already followed‐up by a palliative care team, 152 patients were finally referred to PC in the six subsequent months.

The PALLIA‐10 score appeared as a reliable predictive (adjusted OR_Ref≤3: 1.9 [1.17‐3.16] and 3.59 [2.18‐5.91]) and prognostic (adjusted HR_Ref≤3 = 1.58 [95%CI 1.20‐2.08] and 2.18 [95%CI 1.63‐2.92]) factor for patients scored 4‐5 and >5, respectively.

Conclusion

The PALLIA‐10 questionnaire is an easy‐to‐use tool to refer cancer inpatients to palliative care in current practice. However a score greater than 5 using the PALLIA‐10 questionnaire would be more appropriate for advanced cancer patients hospitalized in comprehensive cancer center.

Pleural LDH as a prognostic marker in adenocarcinoma lung with malignant pleural effusion

To study the performance of serum and pleural lactate dehydrogenase (LDH) level in predicting survival in patients with adenocarcinoma lung presenting with malignant pleural effusions (MPE) at initial diagnosis.Retrospective cohort study of the patient hospitalized for adenocarcinoma lung with MPE in year 2012.Univariate analyses showed lower pleural fluid LDH 667 (313-967) versus 971 (214-3800), P = 0.04, female gender 9 (100%) versus 27 (41.5%), P = 0.009, never smoking status 9 (100%) versus 36 (55.3%), P = 0.009, and epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) therapy 8 (89%) versus 26 (40%), P = 0.009 to correlate with survival of more than 1.7 year versus less than 1.7 year. In multivariate analysis, low pleural fluid LDH and female gender maintained significance. The pleural LDH level of ≤1500 and >1500 U/L discriminated significantly (P = 0.009) between survival.High pleural LDH (>1500 IU/L) predicts shorter survival (less than a year) in patients with adenocarcinoma lung presenting with MPE at the time of initial diagnosis. This marker may be clinically applied for selecting therapeutic modality directed at prevention of reaccumulation of MPE. Patients with low pleural LDH may be considered suitable for measures that provide more sustained effect on prevention of reaccumulation such as chemical pleurodesis or tunneled pleural catheter.

Cytokine patterns in cancer patients: A review of the correlation between interleukin 6 and prognosis

OBJECTIVE

In tumor patients, IL-6 appears to be one component of a consistent cancer-associated cytokine network resulting in both a systemic immune stimulation and a microenvironment of cancer-induced immune suppression that ultimately protects the cancer cells. IL-6 has been associated with prognosis in cancer patients, but so far a systemical analysis has not been carried out.

METHODS

The present meta-analysis studies the relation between IL-6 serum levels and the prognosis of cancer patients in the available clinical literature of 100 articles published between 1993 and 2013 comprising 11,583 patients.

RESULTS

The IL-6 serum level was described as significantly correlating with survival in 82/101 series comprising 85.6% of patients (9917/11,583) with 23 different cancer types. A total of 64 studies dichotomized patient cohorts according to various cut-off IL-6 serum levels: in 59/64 of these series corresponding to 94.5% of the reported patients (7694/8142) significant correlations between IL-6 serum level and survival were seen. The median survival of cancer patients had been determined above various cut-off levels of serum IL-6 in 24 dichotomized studies (26 cohorts). There was a highly significant inverse correlation between median survival of the cohorts with IL-6 serum level above cut-off (1272 patients) and their corresponding IL-6 cut-off values (Spearman R -0,48 p= < 0.001) following a linear regression when both parameters were log-transformed (p < 0.001). A significant correlation between increasing serum IL-6 and tumor stage or metastases was described in 39/44 studies and 91% of published patients (4221/4636) where clinical parameters had been specified.

CONCLUSIONS

Closely associated with the patient's clinical condition and independent of the cancer histology, the increased IL-6 serum level uniformly appears to correlate with survival as paraneoplastic condition in later cancer stages independent of the cancer type. Modifications of this paraneoplastic immune reaction may offer new therapeutic options in cancer.

Identifying Malignant Pleural Effusion by A Cancer Ratio (Serum LDH: Pleural Fluid ADA Ratio)

Aim

We studied the diagnostic potential of serum lactate dehydrogenase (LDH) in malignant pleural effusion.

Methods

Retrospective analysis of patients hospitalized with exudative pleural effusion in 2013.

Results

Serum LDH and serum LDH: pleural fluid ADA ratio was significantly higher in cancer patients presenting with exudative pleural effusion. In multivariate logistic regression analysis, pleural fluid ADA was negatively correlated 0.62 (0.45–0.85, p = 0.003) with malignancy, whereas serum LDH 1.02 (1.0–1.03, p = 0.004) and serum LDH: pleural fluid ADA ratio 0.94 (0.99–1.0, p = 0.04) was correlated positively with malignant pleural effusion. For serum LDH: pleural fluid ADA ratio, a cut-off level of >20 showed sensitivity, specificity of 0.98 (95 % CI 0.92–0.99) and 0.94 (95 % CI 0.83–0.98), respectively. The positive likelihood ratio was 32.6 (95 % CI 10.7–99.6), while the negative likelihood ratio at this cut-off was 0.03 (95 % CI 0.01–0.15).

Conclusion

Higher serum LDH and serum LDH: pleural fluid ADA ratio in patients presenting with exudative pleural effusion can distinguish between malignant and non-malignant effusion on the first day of hospitalization. The cut-off level for serum LDH: pleural fluid ADA ratio of >20 is highly predictive of malignancy in patients with exudative pleural effusion (whether lymphocytic or neutrophilic) with high sensitivity and specificity.

Clinical outcomes among HR+/HER2- metastatic breast cancer patients with multiple metastatic sites: a chart review study in the US

Background

Hormone receptor-positive, human epidermal growth factor receptor-2-negative (HR+/HER2−) is the most common type of metastatic breast cancer (mBC). While mBC patients generally have poor prognosis with limited progression-free survival (PFS) and overall survival (OS), those with multiple metastatic sites may have even worse clinical outcomes due to multiple organ involvement. This study aimed to compare clinical outcomes including PFS, time on treatment (TOT), and OS between HR+/HER2− mBC patients with multiple metastases versus those with a single metastasis in a real-world clinical setting.

Methods

This was a retrospective chart review study of postmenopausal HR+/HER2− mBC women who had failed a non-steroidal aromatase inhibitor in the adjuvant or metastatic setting and initiated a new treatment for mBC between 07/01/2012 and 04/15/2013. Patients were classified to one of two study groups (multiple metastases or single metastasis) based on the number of non-lymph-node metastases at the initiation of the new treatment. PFS, TOT and OS were compared between the two groups using Kaplan–Meier analyses and multivariable Cox proportional hazard models adjusting for patient disease and treatment characteristics. Separate Cox models were conducted including models with an interaction term between line of therapy and study group to assess the impact of multiple metastases on clinical outcomes across different lines of therapy.

Results

A total of 699 patient charts were collected, including 291 patients with multiple metastases and 408 single metastasis patients. Worse performance status and a higher proportion of prior chemotherapy for mBC were observed among patients with multiple metastases. Overall, patients with multiple metastases had significantly shorter PFS [adjusted hazard ratio (HR) = 1.55, 95 % confidence interval (CI) 1.21–1.98], TOT (adjusted HR = 1.33, 95 % CI 1.05–1.67), and OS (adjusted HR = 1.77, 95 % CI 1.15–2.74) than single metastasis patients. Similar outcomes were observed in each line of therapy.

Conclusions

Among HR+/HER2− mBC patients, patients with multiple metastases had significantly shorter PFS, TOT, and OS than single metastasis patients, highlighting the substantial clinical burden and unmet need for more efficacious treatments for the former group of patients.

Prognostic role of lactate dehydrogenase in solid tumors: a systematic review and meta-analysis of 76 studies

BACKGROUND

In cancer cells, metabolism is shifted to aerobic glycolysis with lactate production coupled with a higher uptake of glucose as the main energy source. Lactate dehydrogenase (LDH) catalyzes the reduction of pyruvate to form lactate, and serum level is often raised in aggressive cancer and hematological malignancies. We have assessed the prognostic value of LDH in solid tumors.

MATERIAL AND METHODS

A systematic review of electronic databases was conducted to identify publications exploring the association of LDH with clinical outcome in solid tumors. Overall survival (OS) was the primary outcome, and cancer-specific survival (CSS), progression-free survival (PFS), and disease-free survival (DFS) were secondary outcomes. Data from studies reporting a hazard ratio (HR) and 95% confidence interval (CI) were pooled in a meta-analysis. Pooled HRs were computed and weighted using generic inverse-variance and random-effect modeling. All statistical tests were two-sided.

RESULTS

Seventy-six studies comprising 22 882 patients, mainly with advanced disease, were included in the analysis. Median cut-off of serum LDH was 245 U/L. Overall, higher LDH levels were associated with a HR for OS of 1.7 (95% CI 1.62-1.79; p < 0.00001) in 73 studies. The prognostic effect was highest in renal cell, melanoma, gastric, prostate, nasopharyngeal and lung cancers (all p < 0.00001). HRs for PFS was 1.75 (all p < 0.0001).

CONCLUSIONS

A high serum LDH level is associated with a poor survival in solid tumors, in particular melanoma, prostate and renal cell carcinomas, and can be used as a useful and inexpensive prognostic biomarker in metastatic carcinomas.

Interleukin-6 as a Prognostic Marker for Breast Cancer: A Meta-analysis

Aims and background

Interleukin-6 (IL-6) has been shown to promote tumor survival, metastasis, and angiogenesis, in addition to possessing antitumor activities. In light of the conflicting data, we sought to determine whether IL-6 could be used as a prognostic factor for patients with breast cancer.

Methods

Eligible studies describing the use of IL-6 as a prognostic factor for breast cancer were identified. Data describing overall survival (OS), disease-free survival (DFS), and clinicopathologic features were collected and analyzed.

Results

Thirteen articles containing 3,224 breast cancer patients were identified. The results showed that IL-6 expression was not associated with lymph node metastasis, tumor size, or histologic grade. Moreover, there was no correlation between IL-6 expression and DFS. However, the combined hazard ratio (95% confidence interval) for OS was 2.15 (1.46, 3.17). Sensitivity analysis further demonstrated that, for OS, the results of this meta-analysis were stable. A subgroup analysis showed that the source used to detect IL-6 levels may have altered the pooled results for OS.

Conclusions

Taken together, these results indicate that IL-6 expression is associated with poor prognosis for breast cancer and the prognostic role is affected by the source used to detect IL-6 levels.

The development and evaluation of an oncological palliative care deprescribing guideline: the 'OncPal deprescribing guideline'

PURPOSE

Current data suggests that potentially inappropriate medicines (PIMs) are common in palliative cancer patients; however, there is a lack of criteria to assist clinicians in identifying PIMs in these patients. The aims of this study were to design and validate a deprescribing guideline for palliative cancer patients and to undertake a descriptive analysis of the identified PIMs.

METHODS

This prospective, non-interventional cohort study consisted of four major stages: developing an 'OncPal Deprescribing Guideline' from current evidence, the prospective recruitment of consecutive palliative cancer inpatients with an estimated <6-month prognosis, the assessment of all medications to identify PIMs using both a panel of medical experts without access to the guideline as well as a Clinical Pharmacist independently using the OncPal Deprescribing Guideline and the evaluation of the guideline by testing concordance. Descriptive data on the incidence of PIMs identified were also assessed.

RESULTS

A total of 61 patients were recruited. The OncPal Deprescribing Guideline matched 94% of 617 medicines to the expert panel with a Kappa value of 0.83 [95% CI (0.76, 0.89)] demonstrating an 'outstanding' concordance. Forty-three (70%) patients were taking at least one PIM, with 21.4% of the total medicines assessed identified as PIMs. The medication-associated cost per patient/month was AUD$26.71.

CONCLUSION

A guideline to assist in the de-escalation of inappropriate medications in palliative cancer patients was developed from current literature. The OncPal Deprescribing Guideline was successfully validated, demonstrating statistically significant concordance with an expert panel. We found that the incidence of PIMs was high in our patient group, demonstrating the potential benefits for the OncPal Deprescribing Guideline in clinical practice.

Predicting life expectancy in patients with metastatic cancer receiving palliative radiotherapy: the TEACHH model

BACKGROUND

Predicting life expectancy (LE) in patients with metastatic cancer who are receiving palliative therapies is a difficult task. The purpose of the current study was to develop a LE prediction model among patients receiving palliative radiotherapy (RT) that identifies those patients with short (< 3 months) and long (> 1 year) LEs.

METHODS

The records of 862 patients with metastatic cancer receiving palliative RT at the Dana-Farber/Brigham and Women's Cancer Center between June 2008 and July 2011 were retrospectively reviewed. Cox proportional hazards models were used to evaluate established and potential clinical predictors of LE to construct a model predicting LE of < 3 months and > 1 year.

RESULTS

The median survival was 5.6 months. On multivariate analysis, factors found to be significantly associated with a shorter LE were cancer type (lung and other vs breast and prostate), older age (> 60 years vs ≤ 60 years), liver metastases, Eastern Cooperative Oncology Group performance status (2-4 vs 0-1), hospitalizations within 3 months before palliative RT (0 vs ≥ 1), and prior palliative chemotherapy courses (≥ 2 vs 0-1). Patients were divided into 3 groups with distinct median survivals: group A (those with 0-1 risk factors), 19.9 months (95% confidence interval [95% CI, 13.9 months-31.1 months]); group B (those with 2-4 risk factors), 5.0 months (95% CI, 4.3 months -5.6 months); and group C (those with 5-6 risk factors), 1.7 months (95% CI, 1.2 months-2.1 months).

CONCLUSIONS

The TEACHH model (type of cancer, Eastern Cooperative Oncology Group performance status, age, prior palliative chemotherapy, prior hospitalizations, and hepatic metastases) divides patients receiving palliative RT into 3 distinct LE groups at clinically informative extremes of the LE spectrum. It holds promise to assist radiation oncologists in tailoring palliative therapies to a patient's LE.

Development of a geriatric vulnerability score in elderly patients with advanced ovarian cancer treated with first-line carboplatin: a GINECO prospective trial

BACKGROUND

Two previous GINECO elderly specific studies in advanced ovarian cancer (AOC) patients highlighted the prognostic value of geriatric covariates for overall survival (OS).

PATIENTS AND METHODS

This open-label prospective trial was designed to identify the impact of geriatric covariates on OS in AOC patients ≥70 years treated with first-line carboplatin.

RESULTS

Geriatric covariates of the 111 patients included median age 79 years (≥80 years: 41%); performance status (PS) ≥2: 47%; ≥3 major comorbidities: 24%; ≥4 comedications: 68%; activities of daily living (ADL) score <6: 55%; instrumental activities of daily living (IADL) score <25: 69%; Hospital Anxiety and Depression Scale (HADS) >14: 37%. The median OS was 17.4 months. Overall, 74% of patients completed the six planned chemotherapy cycles. Grade 3-4 haematological toxic effects were frequent (50%) but manageable. Grade 3-4 non-haematological toxicities included fatigue (15%), anorexia (12%), infections (9%) and thrombosis (2%). A survival score = exp(0.327*GVS) was developed, where the geriatric vulnerability score (GVS) is the sum of the following (each assigned a value of one): albuminaemia <35 g/l; ADL score <6; IADL score <25; lymphopaenia <1 G/l; and HADS >14. With a cut-off ≥3, GVS discriminated two groups with significantly different OS, treatment completion, severe adverse events and unplanned hospital admissions rates.

CONCLUSIONS

The GVS is a valuable tool for identifying vulnerable patients when treating an elderly AOC population.

Development of a prognostic score using the complete blood cell count for survival prediction in unselected critically ill patients

Objective. The purpose of this study was to develop a new prognostic scoring system for critically ill patients using the simple complete blood cell count (CBC). Methods. CBC measurements in samples from 306 patients in an intensive care unit were conducted with automated analyzers, including levels of neutrophils, lymphocytes, erythrocytes, hemoglobin, and platelets. The time of sampling and the time of death were recorded. Z values were calculated according to the measured values, reference mean values, and standard deviations. The prognostic score was equivalent to the median of the Z value of each of the measured parameters. Results. There was a significant correlation between survival time and neutrophil, lymphocyte, and platelet levels (P < 0.05). Prognostic scores were calculated from the Z value of these three parameters. Survival times decreased as the prognostic score increased. Conclusions. This study suggests that a model that uses levels of neutrophils, lymphocytes, and platelets is potentially useful in the objective evaluation of survival time or disease severity in unselected critically ill patients.

Patients with metastatic breast cancer leading to CD4+ T cell lymphopaenia have poor outcome

BACKGROUND

Low lymphocyte count is a prognostic factor in cancer patients including metastatic breast cancer patients (MBC) but the relative role of each lymphocyte subtype is unclear in MBC.

METHODS

The impact of lymphocyte subsets was analysed in two prospective MBC patients' cohorts. Cohort A patients (n=103) were included before the first line of chemotherapy and cohort B patients (n=101) were included after at least one line of chemotherapy. Extensive phenotypic analyses were performed on fresh whole blood. Plasma cytokines levels were measured using commercially available Luminex-based multiplex kits. Prognostic value of lymphocyte subsets and circulating cytokines was analysed.

RESULTS

In both cohorts, severe lymphopaenia (<0.7 Giga/L) correlated with poor overall survival (OS) (median OS: 6.6 months versus 21.7 months in cohort A and 4.5 versus 9 months in cohort B). CD8(+), CD19(+) and CD56(+) T cell counts had no significant prognostic value for OS. After stratification (≤0.2, [0.20-0.45], >0.45 Giga/L), CD4 lymphopaenia appeared to be correlated with poor OS in both cohorts. Furthermore, severe CD4(+) lymphopaenia (≤0.2 Giga/L) was strongly correlated with poor OS in both cohorts (1.2 months versus 24.9 months in cohort A and 5.7 versus 13.1 months in cohort B). In multivariate analysis, after stratification CD4(+) lymphopaenia appeared to be an independent prognostic factor for OS in both cohorts. CD4(+) lymphopaenia correlated with low plasmatic levels of CCL22 that might directly contribute to CD4(+) lymphopaenia.

CONCLUSIONS

CD4(+) lymphopaenia was associated with reduced OS in MBC patients regardless of the chemotherapy line. Decreased levels of plasmatic CCL22 may contribute to CD4(+) lymphopaenia.

Serum lactate dehydrogenase is prognostic for survival in patients with bone metastases from breast cancer: a retrospective analysis in bisphosphonate-treated patients

PURPOSE

Survival is highly variable in women with bone metastases from breast cancer and prognostic factors are needed. We analyzed data from a phase III trial comparing zoledronic acid (ZOL) with pamidronate in patients with breast cancer and bone metastases to identify variables prognostic for overall survival.

EXPERIMENTAL DESIGN

Patients who received ZOL (n = 435) with bone marker assessments and complete baseline data were included. Relative risks (RR) of death over 24 months were assessed using a stratified Cox regression analysis. A reduced model was generated using stepwise backward elimination until only significant (P < 0.05) variables remained.

RESULTS

Only 5 of 19 variables analyzed remained significantly prognostic for survival in the reduced multivariate model. These included age more than 50 years (RR 1.78-2.53, P ≤ 0.01 for each decade >50 versus ≤ 50); Functional Assessment of Cancer Therapy-General (FACT-G) score less than 65 units (P < 0.05 vs. ≥ 75 units); impaired (PS ≥ 1) versus fully active (PS = 0) Eastern Cooperative Oncology Group (ECOG) performance status (RR 1.74, P < 0.01); prior versus no prior chemotherapy (RR 1.97; P < 0.01), and lactate dehydrogenase (LDH) levels. Lactate dehydrogenase ≥ upper limit of normal (ULN) but < 2 × ULN correlated with a two-fold increased risk of death, and LDH > 2 × ULN correlated with a six-fold increased risk of death versus LDH < ULN (P < 0.0001 for both). Baseline bone marker levels were not significantly correlated with survival after adjustment for other significant covariates.

CONCLUSIONS

This retrospective analysis shows that LDH levels correlate strongly with survival in patients with bone metastases from breast cancer and confirms the relevance of previously described prognostic factors.

Prognostic role of C-reactive protein in breast cancer: a systematic review and meta-analysis

BACKGROUND

Recent studies have shown that C-reactive protein (CRP) may be associated with breast cancer. The purpose of this study is to summarize the predictive role of CRP for survival in breast cancer as shown in all available studies worldwide.

METHODS

Related studies were identified and evaluated for quality through multiple search strategies. Data were collected from studies comparing overall, cancer-specific, and disease-free survival (OS, CSS, and DFS) in patients with elevated CRP levels and those having lower levels. Studies were pooled, and combined hazard ratios (HRs) of CRP for survival were calculated.

RESULTS

A total of 10 studies (n=4,502) were included for this meta-analysis (9 for OS, 3 for CSS, and 3 for DFS). For overall and disease-free survival, the pooled HRs of CRP were significant at 1.62 (95% confidence interval [95% CI], 1.20-2.18) and 1.81 (95% CI, 1.44-2.26), respectively. For cancer-specific survival, the pooled HR in higher CRP expression in breast cancer was 2.08 (95% CI, 1.48-2.94), which could strongly predict poorer survival in breast cancer.

CONCLUSIONS

CRP has a critical prognostic value in patients with breast cancer as an inflammation biomarker.