Treatment outcomes in patients with drug-resistant TB-HIV co-infection treated with bedaquiline and linezolid

BACKGROUND: Bedaquiline (BDQ) has not been extensively studied among patients co-infected with HIV drug-resistant tuberculosis (DR-TB). We compared treatment outcomes in DR-TB patients treated with BDQ- and linezolid (LZD) containing regimens to historic controls treated with second-line injectable-containing regimens.METHODS: Retrospective cohort study of consecutive DR-TB patients initiated on BDQ- and LZD-containing regimens at a TB referral hospital in KwaZulu-Natal, South Africa. Participants were prospectively followed through 24 months for treatment outcome and adverse events. Outcomes were compared to a historic control cohort of DR-TB HIV patients enrolled at the same facility prior to BDQ introduction.RESULTS: Adult DR-TB patients initiating BDQ between January 2014 and November 2015 were enrolled (n = 151). The majority of patients were female (52%), HIV co-infected (77%) and on antiretroviral therapy (100%). End of treatment outcomes included cure (63%), TB culture conversion (83%), completion (0.7%), loss to follow-up (15%), treatment failure (5%), and death (17%). Compared to historic controls (n = 105), patients treated with BDQ experienced significantly higher TB culture conversion and cure, with significantly lower mortality. Adverse effects were common (92%), and most frequently attributed to LZD (24.1%). QT segment prolongation was common but without clinical sequelae.CONCLUSION: Treatment with BDQ- and LZD-containing regimens was associated with improved treatment outcomes and survival in DR-TB HIV patients.

Clinical validation of an immunohistochemistry-based CanAssist-Breast test for distant recurrence prediction in hormone receptor-positive breast cancer patients

CanAssist‐Breast (CAB) is an immunohistochemistry (IHC)‐based prognostic test for early‐stage Hormone Receptor (HR+)‐positive breast cancer patients. CAB uses a Support Vector Machine (SVM) trained algorithm which utilizes expression levels of five biomarkers (CD44, ABCC4, ABCC11, N‐Cadherin, and Pan‐Cadherin) and three clinical parameters such as tumor size, grade, and node status as inputs to generate a risk score and categorizes patients as low‐ or high‐risk for distant recurrence within 5 years of diagnosis. In this study, we present clinical validation of CAB. CAB was validated using a retrospective cohort of 857 patients. All patients were treated either with endocrine therapy or chemoendocrine therapy. Risk categorization by CAB was analyzed by calculating Distant Metastasis‐Free Survival (DMFS) and recurrence rates using Kaplan‐Meier survival curves. Multivariate analysis was performed to calculate Hazard ratios (HR) for CAB high‐risk vs low‐risk patients. The results showed that Distant Metastasis‐Free Survival (DMFS) was significantly different (P‐0.002) between low‐ (DMFS: 95%) and high‐risk (DMFS: 80%) categories in the endocrine therapy treated alone subgroup (n = 195) as well as in the total cohort (n = 857, low‐risk DMFS: 95%, high‐risk DMFS: 84%, P < 0.0001). In addition, the segregation of the risk categories was significant (P = 0.0005) in node‐positive patients, with a difference in DMFS of 12%. In multivariate analysis, CAB risk score was the most significant predictor of distant recurrence with hazard ratio of 3.2048 (P < 0.0001). CAB stratified patients into discrete risk categories with high statistical significance compared to Ki‐67 and IHC4 score‐based stratification. CAB stratified a higher percentage of the cohort (82%) as low‐risk than IHC4 score (41.6%) and could re‐stratify >74% of high Ki‐67 and IHC4 score intermediate‐risk zone patients into low‐risk category. Overall the data suggest that CAB can effectively predict risk of distant recurrence with clear dichotomous high‐ or low‐risk categorization.

Abstract P3-08-10: Development and validation of a broad-based second generation multi marker “Morphometric IHC” test for optimal treatment planning of stage 1 and 2 breast cancer patients in low resource settings

Aims:

Assessment of 'risk of recurrence' in ER+ breast cancer patients based on clinical parameters and existing hormone receptor signaling pathway and/or proliferation based biomarkers is insufficient, leading to treatment of majority of patients with chemotherapy. First generation risk identification tests like OncotypeDx and Mammaprint are not impactful in India and SE Asia as are largely prognostic with limited chemotherapy-predictivity and are prohibitively expensive. A cost-effective 'predictive' test which will accurately estimate the 'risk of recurrence' for a 'broader' (node - & +) set of breast cancer patients in low resource settings is urgently required.

Materials and Methods:

Using a retrospective training cohort of 300 node– and node+ patients, we developed 'CanAssist-Breast'- a Morphometric Immunohistochemistry based test comprising 5 biomarkers plus three clinical parameters (Tumor size, grade and node status) to arrive at 'CanAssist-Breast Score'. The risk stratification model was developed using cutting edge support vector based machine learning technology. CanAssist-Breast Score stratifies patients into an all actionable 'low or high' risk for recurrence, with no intermediate zone. CanAssist-Breast biomarkers include cancer stem cell markers, Cadherins, and ATP transporter proteins - all critical players in the various steps of chemotherapy resistance leading to metastasis.

Results:

We validated CanAssist-Breast in accordance with EGAPP recommendations which require that prognostic tests be validated both analytically and clinically prior to being utilized in patients. Analytical validation experiments were performed to assess 'variation' in the outcome prediction due to critical IHC variables. We tested inter-pathologists, sample, operator and laboratory site variation and found high concordance in the outcome predictions across all variables, confirming the robustness and reproducibility of the test.

Extended clinical validation on 1000+ pre and post-menopausal cases shows NPV of 95%. The majority of patients in 'low risk' had Stage 2, Grade 2/3 disease over Stage 1, Grade 1 disease, demonstrating that CanAssist-Breast reclassifies patients who would be considered high risk clinically.

In a head-to-head pilot study of 100 patients with Oncotype Dx, CanAssist-Breast test had about 80% concordance with Oncotype in the 'low risk' category. Importantly, CanAssist-Breast correctly stratified few recurred cases as 'high risk' which were called 'low risk' by Oncotype Dx and thus were not treated with chemotherapy.

Conclusion:

In conclusion, we have developed a robust, accurate and low-cost prognostic test to predict risk of recurrence and enable optimal treatment planning in patients with early stage Breast Cancer.

Citation Format: SP S, Bakre MM, Ramkumar C, Basavaraj C, Attuluri A, Madhav L, Prakash C, Naidu N, Malpani S. Development and validation of a broad-based second generation multi marker “Morphometric IHC” test for optimal treatment planning of stage 1 and 2 breast cancer patients in low resource settings [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P3-08-10.

Re-inventing adherence: toward a patient-centered model of care for drug-resistant tuberculosis and HIV

BACKGROUND

Despite renewed focus on molecular tuberculosis (TB) diagnostics and new antimycobacterial agents, treatment outcomes for patients co-infected with drug-resistant TB and human immunodeficiency virus (HIV) remain dismal, in part due to lack of focus on medication adherence as part of a patient-centered continuum of care.

OBJECTIVE

To review current barriers to drug-resistant TB-HIV treatment and propose an alternative model to conventional approaches to treatment support.

DISCUSSION

Current national TB control programs rely heavily on directly observed therapy (DOT) as the centerpiece of treatment delivery and adherence support. Medication adherence and care for drug-resistant TB-HIV could be improved by fully implementing team-based patient-centered care, empowering patients through counseling and support, maintaining a rights-based approach while acknowledging the responsibility of health care systems in providing comprehensive care, and prioritizing critical research gaps.

CONCLUSION

It is time to re-invent our understanding of adherence in drug-resistant TB and HIV by focusing attention on the complex clinical, behavioral, social, and structural needs of affected patients and communities.

B1 but not B2 bradykinin receptor agonists promote DU145 prostate cancer cell proliferation and migration

BACKGROUND

The kallikrein-kinin system (KKS) is an endogenous pathway involved in angiogenesis and tumourigenesis, both vital for cancer growth and progression.

OBJECTIVES

To investigate the effect of two bradykinin receptor (B1R and B2R) agonists on growth and motility of prostate tumour (DU145) and micro-vascular endothelial cells (dMVECs).

METHODS

Increasing concentrations of selective B1R and B2R agonists were added to cultured cells. Cell proliferation and migration were assessed using the 3-[4,5 dimethylthiazol-2-yl]-2,5-diphenyl-tetrazolium bromide (MTT) and modified Boyden Chamber assays, respectively. Where significant stimulation was found, the influence of an antagonist was also investigated.

RESULTS

Neither growth nor motility of endothelial cells was affected by either agonist. In DU145 cells, while the B2R agonist was without any significant effect, the B1R agonist stimulated proliferation and migration at concentrations of 10nM and 50nM respectively. Further, this effect was abrogated when cells were pre-incubated with a B1R antagonist.

CONCLUSIONS

Unlike the physiologically-active B2R, the pathologically-inducible B1R may be implicated in prostate tumourigenic events. The involvement of the KKS in malignant prostate pathology supports on-going exploration of bradykinin receptor antagonists as target candidates in the development of alternate approaches to cancer therapy.

Exposure assessment to synthetic food colours of a selected population in Hyderabad, India

An exposure assessment of synthetic food colours was carried out among 1-5- and 6-18-year-old individuals by the food frequency method. Children had an intake of solid food consumption in the range 2-465 g day(-1) and liquid food consumption in the range 25-840 ml day(-1) with added colours. Among the eight permitted colours in India, six were consumed by the subjects of the study. The intakes of some subjects exceeded the acceptable daily intake for colours such as tartrazine, sunset yellow and erythrosine, which is 7.5, 2.5 and 0.1 mg kg(-1) body weight, respectively. Therefore, a uniform permissible limit of 100 mg kg(-1) prescribed under the Prevention of Food Adulteration Act in India for all foods is not justified. The limits need to be revised according to the Codex Alimentarius Commission, which permits different maximum levels of additives to various food categories based on both the extent of consumption and the technological justification for its use.