Providing family updates: a primer for the medical trainee

Providing family updates is a common clinical task for medical trainees and practitioners working in hospital settings. Good clinical communication skills are essential in clinical care as it is associated with improved patient satisfaction, understanding of condition, treatment adherence, and better overall clinical outcomes. Moreover, poor communications are often the source of medical complaints. However, while patient-centred communication skills training has generally been incorporated into clinical education, there hitherto remains inadequate training on clinical communications with patients' families, which carry different nuances. In recent years, it is increasingly recognized that familial involvement in the care of hospitalized patients leads to better clinical and psychological outcomes. In fact, in Asian populations with more collectivistic cultures, families are generally highly involved in patient care and decision-making. Therefore, effective clinical communications and regular provision of family updates are essential to build therapeutic rapport, facilitate familial involvement in patient care, and also provide a more holistic understanding of the patient's background and psychosocial set-up. In this article, we herein describe a seven-step understand the clinical context, gather perspectives, deliver medical information, address questions, concerns and expectations, provide tentative plans, demonstrate empathy, postcommunication reflections model as a practical guide for medical trainees and practitioners in provision of structured and effective family updates in their clinical practice.

Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT

Introduction

Metastatic spinal cord compression (MSCC) is a disastrous complication of advanced malignancy. A deep learning (DL) algorithm for MSCC classification on CT could expedite timely diagnosis. In this study, we externally test a DL algorithm for MSCC classification on CT and compare with radiologist assessment.

Methods

Retrospective collection of CT and corresponding MRI from patients with suspected MSCC was conducted from September 2007 to September 2020. Exclusion criteria were scans with instrumentation, no intravenous contrast, motion artefacts and non-thoracic coverage. Internal CT dataset split was 84% for training/validation and 16% for testing. An external test set was also utilised. Internal training/validation sets were labelled by radiologists with spine imaging specialization (6 and 11-years post-board certification) and were used to further develop a DL algorithm for MSCC classification. The spine imaging specialist (11-years expertise) labelled the test sets (reference standard). For evaluation of DL algorithm performance, internal and external test data were independently reviewed by four radiologists: two spine specialists (Rad1 and Rad2, 7 and 5-years post-board certification, respectively) and two oncological imaging specialists (Rad3 and Rad4, 3 and 5-years post-board certification, respectively). DL model performance was also compared against the CT report issued by the radiologist in a real clinical setting. Inter-rater agreement (Gwet's kappa) and sensitivity/specificity/AUCs were calculated.

Results

Overall, 420 CT scans were evaluated (225 patients, mean age=60 ± 11.9[SD]); 354(84%) CTs for training/validation and 66(16%) CTs for internal testing. The DL algorithm showed high inter-rater agreement for three-class MSCC grading with kappas of 0.872 (p<0.001) and 0.844 (p<0.001) on internal and external testing, respectively. On internal testing DL algorithm inter-rater agreement (κ=0.872) was superior to Rad 2 (κ=0.795) and Rad 3 (κ=0.724) (both p<0.001). DL algorithm kappa of 0.844 on external testing was superior to Rad 3 (κ=0.721) (p<0.001). CT report classification of high-grade MSCC disease was poor with only slight inter-rater agreement (κ=0.027) and low sensitivity (44.0), relative to the DL algorithm with almost-perfect inter-rater agreement (κ=0.813) and high sensitivity (94.0) (p<0.001).

Conclusion

Deep learning algorithm for metastatic spinal cord compression on CT showed superior performance to the CT report issued by experienced radiologists and could aid earlier diagnosis.

Diagnostic Accuracy of CT for Metastatic Epidural Spinal Cord Compression

Background: Early diagnosis of metastatic epidural spinal cord compression (MESCC) is vital to expedite therapy and prevent paralysis. Staging CT is performed routinely in cancer patients and presents an opportunity for earlier diagnosis. Methods: This retrospective study included 123 CT scans from 101 patients who underwent spine MRI within 30 days, excluding 549 CT scans from 216 patients due to CT performed post-MRI, non-contrast CT, or a gap greater than 30 days between modalities. Reference standard MESCC gradings on CT were provided in consensus via two spine radiologists (11 and 7 years of experience) analyzing the MRI scans. CT scans were labeled using the original reports and by three radiologists (3, 13, and 14 years of experience) using dedicated CT windowing. Results: For normal/none versus low/high-grade MESCC per CT scan, all radiologists demonstrated almost perfect agreement with kappa values ranging from 0.866 (95% CI 0.787–0.945) to 0.947 (95% CI 0.899–0.995), compared to slight agreement for the reports (kappa = 0.095, 95%CI −0.098–0.287). Radiologists also showed high sensitivities ranging from 91.51 (95% CI 84.49–96.04) to 98.11 (95% CI 93.35–99.77), compared to 44.34 (95% CI 34.69–54.31) for the reports. Conclusion: Dedicated radiologist review for MESCC on CT showed high interobserver agreement and sensitivity compared to the current standard of care.

Pan-immune-inflammation value as a predictive biomarker for survival in advanced non-small cell lung cancer patients treated with immunotherapy

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Background: It is well known that chronic inflammation can enable immune escape by suppressing immune surveillance. This promotes cancer growth and development, which forms the basis of immune checkpoint inhibitors use. Pan-Immune-Inflammation Value (PIV), a type of immune-inflammatory biomarker, has shown predictive value in various cancer patient populations (colorectal, melanoma, breast, oesophagus, ALK-positive lung cancer) and patients with ANCA-associated vasculitis. We aimed to evaluate the role of PIV as a predictive biomarker in advanced non-small cell lung cancer (NSCLC), whereby immune checkpoint inhibitor therapy is frequently used. Methods: We conducted a retrospective review of advanced NSCLC patients who received immunotherapy in the National University Hospital, Singapore between January 2015 and January 2022. PIV was calculated as: (neutrophil count × platelet count × monocyte count)/lymphocyte count, with the median value used to distinguish between high and low PIV. Kaplan–Meier method and Cox proportional hazards regression models were used for survival analyses. Results: 203 patients were included in the study. The median age was 63, 70% were males, 76% were Chinese, 83% had ECOG Performance Status ≤1 and 70% had adenocarcinoma histology. The immunotherapy agents used were Pembrolizumab (82%), Nivolumab (13%) and Atezolizumab (5%). Chemotherapy was given in conjunction with immunotherapy in 37% of the population. The median PIV value derived was 790 and patients with a low baseline PIV experienced better progression-free survival (PFS) and overall survival (OS). The median PFS was 249 days in PIV-low vs 145 days in PIV-high cohorts (hazard ratio for progression or death from any cause [HR] 0.58, 95% Confidence Interval [CI] 0.40-0.86, p < 0.01) and the median OS was 794 days in PIV-low vs 420 days in PIV-high cohorts (HR 0.69, 95% CI 0.49-0.96, p = 0.03). Patients who had higher PIV, ECOG performance status ≥2, liver metastases, immunotherapy exposure in 2nd line or later, use of immunotherapy alone without chemotherapy had worse OS in univariate analysis, but only PIV (HR = 1.61, 95% CI 1.08-2.40, p < 0.02) was an independent prognostic factor in multivariate analysis. Amongst the patients with known PD-L1 status (n = 158), univariate analysis showed that PD-L1 ≥1 and PD-L1 ≥50 were not prognostic for OS whereas PIV remained an independent prognostic factor in both univariate and multivariate analyses. Conclusions: PIV appears to be a strong predictor of survival outcomes for patients with advanced NSCLC receiving immunotherapy as part of their cancer treatment. Prospective clinical trials are required to validate the predictive value of PIV in NSCLC patients receiving immunotherapy, as well as evaluating PIV’s performance against PD-L1.

Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI

Background

Metastatic epidural spinal cord compression (MESCC) is a devastating complication of advanced cancer. A deep learning (DL) model for automated MESCC classification on MRI could aid earlier diagnosis and referral.

Purpose

To develop a DL model for automated classification of MESCC on MRI.

Materials and Methods

Patients with known MESCC diagnosed on MRI between September 2007 and September 2017 were eligible. MRI studies with instrumentation, suboptimal image quality, and non-thoracic regions were excluded. Axial T2-weighted images were utilized. The internal dataset split was 82% and 18% for training/validation and test sets, respectively. External testing was also performed. Internal training/validation data were labeled using the Bilsky MESCC classification by a musculoskeletal radiologist (10-year experience) and a neuroradiologist (5-year experience). These labels were used to train a DL model utilizing a prototypical convolutional neural network. Internal and external test sets were labeled by the musculoskeletal radiologist as the reference standard. For assessment of DL model performance and interobserver variability, test sets were labeled independently by the neuroradiologist (5-year experience), a spine surgeon (5-year experience), and a radiation oncologist (11-year experience). Inter-rater agreement (Gwet’s kappa) and sensitivity/specificity were calculated.

Results

Overall, 215 MRI spine studies were analyzed [164 patients, mean age = 62 ± 12(SD)] with 177 (82%) for training/validation and 38 (18%) for internal testing. For internal testing, the DL model and specialists all showed almost perfect agreement (kappas = 0.92–0.98, p < 0.001) for dichotomous Bilsky classification (low versus high grade) compared to the reference standard. Similar performance was seen for external testing on a set of 32 MRI spines with the DL model and specialists all showing almost perfect agreement (kappas = 0.94–0.95, p < 0.001) compared to the reference standard.

Conclusion

A DL model showed comparable agreement to a subspecialist radiologist and clinical specialists for the classification of malignant epidural spinal cord compression and could optimize earlier diagnosis and surgical referral.

A prospective cohort study assessing aggressive interventions at the end-of-life among patients with solid metastatic cancer

Background

Many patients with a solid metastatic cancer are treated aggressively during their last month of life. Using data from a large prospective cohort study of patients with an advanced cancer, we aimed to assess the number and predictors of aggressive interventions during last month of life among patients with solid metastatic cancer and its association with bereaved caregivers’ outcomes.

Methods

We used data of 345 deceased patients from a prospective cohort study of 600 patients. We surveyed patients every 3 months until death for their physical, psychological and functional health, end-of-life care preference and palliative care use. We surveyed their bereaved caregivers 8 weeks after patients’ death regarding their preparedness about patient’s death, regret about patient’s end-of-life care and mood over the last week. Patient data was merged with medical records to assess aggressive interventions received including hospital death and use of anti-cancer treatment, more than 14 days in hospital, more than one hospital admission, more than one emergency room visit and at least one intensive care unit admission, all within the last month of life.

Results

69% of patients received at least one aggressive intervention during last month of life. Patients hospitalized during the last 2–12 months of life, male patients, Buddhist or Taoist, and with breast or respiratory cancer received more aggressive interventions in last month of life. Patients with worse functional health prior to their last month of life received fewer aggressive interventions in last month of life. Bereaved caregivers of patients receiving more aggressive interventions reported feeling less prepared for patients’ death.

Conclusion

Findings suggest that intervening early in the sub-group of patients with history of hospitalization prior to their last month may reduce number of aggressive interventions during last month of life and ultimately positively influence caregivers’ preparedness for death during the bereavement phase.

Trial registration

NCT02850640.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12904-022-00970-z.

Machine-learning model derived gene signature predictive of paclitaxel survival benefit in gastric cancer: results from the randomised phase III SAMIT trial

OBJECTIVE

To date, there are no predictive biomarkers to guide selection of patients with gastric cancer (GC) who benefit from paclitaxel. Stomach cancer Adjuvant Multi-Institutional group Trial (SAMIT) was a 2×2 factorial randomised phase III study in which patients with GC were randomised to Pac-S-1 (paclitaxel +S-1), Pac-UFT (paclitaxel +UFT), S-1 alone or UFT alone after curative surgery.

DESIGN

The primary objective of this study was to identify a gene signature that predicts survival benefit from paclitaxel chemotherapy in GC patients. SAMIT GC samples were profiled using a customised 476 gene NanoString panel. A random forest machine-learning model was applied on the NanoString profiles to develop a gene signature. An independent cohort of metastatic patients with GC treated with paclitaxel and ramucirumab (Pac-Ram) served as an external validation cohort.

RESULTS

From the SAMIT trial 499 samples were analysed in this study. From the Pac-S-1 training cohort, the random forest model generated a 19-gene signature assigning patients to two groups: Pac-Sensitive and Pac-Resistant. In the Pac-UFT validation cohort, Pac-Sensitive patients exhibited a significant improvement in disease free survival (DFS): 3-year DFS 66% vs 40% (HR 0.44, p=0.0029). There was no survival difference between Pac-Sensitive and Pac-Resistant in the UFT or S-1 alone arms, test of interaction p<0.001. In the external Pac-Ram validation cohort, the signature predicted benefit for Pac-Sensitive (median PFS 147 days vs 112 days, HR 0.48, p=0.022).

CONCLUSION

Using machine-learning techniques on one of the largest GC trials (SAMIT), we identify a gene signature representing the first predictive biomarker for paclitaxel benefit.

TRIAL REGISTRATION NUMBER

UMIN Clinical Trials Registry: C000000082 (SAMIT); ClinicalTrials.gov identifier, 02628951 (South Korean trial).

Atypical Response Patterns in Renal Cell Carcinoma Treated with Immune Checkpoint Inhibitors-Navigating the Radiologic Potpourri

BACKGROUND

Atypical response patterns have been a topic of increasing relevance since the advent of immune checkpoint inhibitors (ICIs), challenging the traditional RECIST (Response Evaluation Criteria in Solid Tumors) method of tumor response assessment. Newer immune-related response criteria can allow for the evolution of radiologic pseudoprogression, but still fail to capture the full range of atypical response patterns encountered in clinical reporting.

METHODS

We did a detailed lesion-by-lesion analysis of the serial imaging of 46 renal cell carcinoma (RCC) patients treated with ICIs with the aim of capturing the full range of radiologic behaviour.

RESULTS

Atypical response patterns observed included pseudoprogression (n = 15; 32.6%), serial pseudoprogression (n = 4; 8.7%), dissociated response (n = 22; 47.8%), abscopal response (n = 9; 19.6%), late response (n = 5; 10.9%), and durable response after cessation of immunotherapy (n = 2; 4.3%). Twenty-four of 46 patients (52.2%) had at least one atypical response pattern and 18 patients (39.1%) had multiple atypical response patterns.

CONCLUSIONS

There is a high incidence of atypical response patterns in RCC patients receiving ICIs and the study contributes to the growing literature on the abscopal effect. The recognition of these interesting and overlapping radiologic patterns challenges the oncologist to tweak treatment options such that the clinical benefits of ICIs are potentially maximized.

Low-Dose Nivolumab in Renal Cell Carcinoma: A Real-World Experience

BACKGROUND

The approved doses of the single agent nivolumab - an anti-programmed cell death protein 1 (PD-1) monoclonal antibody - for renal cell carcinoma (RCC) are 3 mg/kg and a 240-mg flat dose, despite efficacy shown at lower doses in earlier CheckMate trials. In view of financial constraints, the minimum dose of nivolumab required for efficacy remains a critical area of inquiry.

METHODS

A retrospective review of RCC patients receiving single-agent anti-PD-1 treatment was conducted. Using the median cutoff of the maximum dose per body weight received, we investigated the effect of lower dosages on overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and immune-related adverse event-free survival (irAE-FS). Survival analysis was made by Kaplan-Meier, by uni- and multivariable Cox models, and by modeling the statistical interaction between dosages and survival.

RESULTS

32 patients were recruited: 8 patients (25%) receiving first-line treatment and 24 (75%) receiving second-line treatment and beyond. A median split at 2.15 mg/kg yielded 16 patients in both the lower-dose (LD) and the higher-dose (HD) cohort. Hazard ratios (HRs) demonstrated no difference in OS after adjustment for gender (HR = 0.22, 95% CI 0.05-1.05, p = 0.054; favoring LD), as well as in PFS after adjustment for gender and concurrent radiation therapy (HR = 0.58, 95% CI 0.25-1.34, p = 0.210; favoring LD). No differences in ORR were observed (50.0 vs. 43.8%, p = 1.00, in the LD and the HD cohort, respectively). Immune-related phenomena were observed in the LD group, including pseudoprogression and increased all-grade immune-related toxicities (irAE-FS: HR = 1.72, 95% CI 0.48-6.14, p = 0.293; favoring HD). Iterative dichotomization of dosages showed no dose-OS or dose-irAE-FS relationship.

CONCLUSION

Our study suggests no apparent reduction in efficacy when using a low-dosage nivolumab regimen.

Phase 1 Study of Low-Dose Fractionated Whole Abdominal Radiation Therapy in Combination With Weekly Paclitaxel for Platinum-Resistant Ovarian Cancer (GCGS-01)

PURPOSE

Low-dose fractionated whole abdominal radiation therapy (LDFWART) has synergistic activity with paclitaxel in preclinical models. The aim of this phase 1 trial was to determine the recommended phase 2 dose and preliminary activity of weekly paclitaxel (wP) concurrent with LDFWART in patients with platinum-resistant ovarian cancer (PROC).

METHODS AND MATERIALS

Patients were enrolled at de-escalating dose levels of wP (part A), starting at 80 mg/m², concurrent with fixed-dose LDFWART delivered in 60 cGy fractions twice-daily, 2 days per week, for 6 continuous weeks. After completing the 6-week course of wP + LDFWART, patients received wP until disease progression. Dose-limiting toxicity was evaluated during the first 3 weeks of wP + LDFWART. At wP (80 mg/m²) + LDFWART, no dose-limiting toxicities were observed; this was the established maximum tolerated dose. The trial was expanded (part B) with 7 additional patients with platinum-resistant, high-grade serous ovarian cancer to confirm toxicity and activity.

RESULTS

A total of 10 heavily pretreated patients were recruited (3 patients to part A, 7 patients to part B). They had received a median of 5 prior lines of therapy, and 70% of patients had received prior wP; 60% of patients completed 6 weeks of wP + LDFWART. Common related grade ≥3 adverse events were neutropenia (60%) and anemia (30%). Median progression-free survival was 3.2 months, and overall survival was 13.5 months. Of patients evaluable for response, 33% (3 of 9) achieved confirmed biochemical response (CA125 decrease >50% from baseline), 11% (1) achieved a partial response, and 5 patients had stable disease, giving a disease control rate of 66.7% (6 of 9). Four patients had durable disease control of ≥12 weeks, completing 12 to 21 weeks of wP.

CONCLUSIONS

The recommended phase 2 dose of wP + LDFWART for 6 weeks is 80 mg/m². Encouraging efficacy in heavily pretreated PROC patients was observed, suggesting that further development of this therapeutic strategy in PROC should be considered.

Integration of Antiangiogenic Therapy with Cisplatin and Gemcitabine Chemotherapy in Patients with Nasopharyngeal Carcinoma

PURPOSE

Induction cisplatin and gemcitabine chemotherapy is a standard treatment for locally advanced nasopharyngeal carcinoma (NPC). Inhibition of VEGF axis has been shown to promote maturation of microvasculature and improve perfusion. We conducted a four-arm study to assess the effect of two doses of either sunitinib or bevacizumab with chemotherapy in NPC.

PATIENTS AND METHODS

Patients with treatment-naïve locally advanced NPC were treated with three cycles of 3-weekly cisplatin and gemcitabine preceded by 1 week of anti-VEGF therapy for each cycle, followed by standard concurrent chemoradiation: arm A patients received 7 days of 12.5 mg/day sunitinib; arm B 7 days of 25 mg/day sunitinib; arm C bevacizumab 7.5 mg/kg infusion; arm D bevacizumab 2.5 mg/kg infusion. Patients with metastatic NPC were treated with up to six cycles of similar treatment without concurrent chemoradiation.

RESULTS

Complete metabolic response (mCR) by whole body ¹⁸FDG PET was highest in arm C (significant difference in four groups Fisher exact test P = 0.001; type 1 error = 0.05), with 42% mCR (95% confidence interval, 18-67) and 3-year relapse-free survival of 88% in patients with locally advanced NPC. Significant increase in pericyte coverage signifying microvascular maturation and increased immune cell infiltration was observed in posttreatment tumor biopsies in Arm C. Myelosuppression was more profound in sunitinib containing arms, and tolerability was established in arm C where hypertension was the most significant toxicity.

CONCLUSIONS

Bevacizumab 7.5 mg/kg with cisplatin and gemcitabine was well tolerated. Promising tumor response was observed and supported mechanistically by positive effects on tumor perfusion and immune cell trafficking into the tumor.

Development, internal validation and calibration of a risk score to predict survival in patients with EGFR-mutant non-small cell lung cancer

AIMS

EGFR tyrosine kinase inhibitors (TKIs) are first-line molecularly targeted therapies in patients with advanced non-small cell lung cancer (NSCLC) who carry sensitising EGFR mutations, due to its superior survival outcomes compared with conventional chemotherapy regimens. In this study, we sought to identify clinical, immune and biochemical variables with prognostic significance in this patient subgroup and incorporate them into a nomogram-based risk score.

METHODS

A total of 199 patients with EGFR mutation-positive, advanced NSCLC (defined as stage IV at initial diagnosis or incurable disease recurrence) treated with first-line EGFR TKI therapy were retrospectively profiled. Univariable and multivariable survival analyses were conducted, with variables from the multivariable model with the highest Harrell's Concordance (C) Index selected for inclusion in the subsequent survival nomogram. Internal validation and internal calibration of our prognostic nomogram were also performed.

RESULTS

Serum lactate dehydrogenase (LDH) and lung/pleural metastasis were independent predictors of unfavourable overall survival in all three multivariable models. A survival nomogram was generated based on the multivariable model with the highest Harrell's C Index, incorporating the following 11 variables: white cell count, haemoglobin, LDH, neutrophil/lymphocyte ratio, ethnicity (Chinese vs non-Chinese), Karnofsky-Performance Status (score of '90-100' or '70-80' vs '0-60'), Charlson Comorbidity Index (≥3, or 2, or 1 vs 0), neurological symptoms, brain, lung/pleural and adrenal metastases.

CONCLUSION

We identified serum LDH as an independent predictor of unfavourable clinical outcomes in patients with advanced, EGFR mutation-positive NSCLC. We further developed a robust nomogram-based risk score that incorporates clinical, biochemical and immune variables that can provide more targeted prognostication and management in this patient subgroup.

Phase I Trial of Expanded, Activated Autologous NK-cell Infusions with Trastuzumab in Patients with HER2-positive Cancers

PURPOSE

Natural killer (NK) cells exert antibody-dependent cell cytotoxicity (ADCC). We infused expanded, activated autologous NK cells to potentiate trastuzumab-mediated ADCC in patients with HER2-positive malignancies.

PATIENTS AND METHODS

In a phase I trial, patients with treatment-refractory HER2-positive solid tumors received trastuzumab, with or without bevacizumab, and autologous NK cells expanded by 10-day coculture with K562-mb15-41BBL cells. Primary objectives included safety and recommended phase II dose determination; secondary objectives included monitoring NK-cell activity and RECIST antitumor efficacy.

RESULTS

In 60 cultures with cells from 31 subjects, median NK-cell expansion from peripheral blood was 340-fold (range, 91-603). NK cells expressed high levels of CD16, the mediator of ADCC, and exerted powerful killing of trastuzumab-targeted cells. In the 22 subjects enrolled in phase I dose escalation, trastuzumab plus NK cells were well tolerated; MTD was not reached. Phase IB (n = 9) included multiple cycles of NK cells (1 × 10⁷/kg) and addition of bevacizumab. Although no objective response was observed, 6 of 19 subjects who received at least 1 × 10⁷/kg NK cells at cycle 1 had stable disease for ≥6 months (median, 8.8 months; range 6.0-12.0). One patient, the only one with the high-affinity F158V CD16 variant, had a partial response. Peripheral blood NK cells progressively downregulated CD16 postinfusion; paired tumor biopsies showed increased NK cells, lymphocytic infiltrates, and apoptosis posttreatment.

CONCLUSIONS

NK-cell therapy in combination with trastuzumab was well tolerated, with target engagement and preliminary antitumor activity, supporting continued assessment of this approach in phase II trials.

Family caregivers of advanced cancer patients: self-perceived competency and meaning-making

BACKGROUND

Family caregivers of patients with advanced cancer have been reported to provide long hours of care and be at risk for poor psychological outcomes. Although research has focused on the nature of caregiving burden, little attention has been paid to identifying protective factors that improve caregiver psychological outcomes.

AIM

We examined the relationship between caregivers' time spent caregiving and the following psychological outcomes: anxiety, depression and caregiving esteem. Subsequently, we explored the main and moderating effects of caregiver-perceived self-competency and sense of meaning on caregiver psychological outcomes.

DESIGN/PARTICIPANTS

Cross-sectional analysis was conducted using the baseline data from an ongoing cohort study. Family caregivers of advanced cancer patients (n=287) were recruited from two tertiary hospitals in Singapore.

RESULTS

Time spent caregiving was not significantly associated with caregiver anxiety, depression or caregiving esteem. However, significant main effects of self-competency on anxiety and caregiving esteem; and sense of meaning on anxiety, depression and caregiving esteem were observed. Moderator analyses further indicated that self-competency attenuated the positive relationship between time spent caregiving and anxiety, while sense of meaning attenuated the negative relationship between time spent caregiving and caregiving esteem.

CONCLUSION

Greater perceived self-competency and sense of meaning are related to better caregiver psychological outcomes, and protect caregivers from worsening outcomes as caregiving hours increase. Our findings suggest that screening caregivers for distress is an important part of care, and that supportive interventions for caregivers should aim to enhance their perceived caregiving competencies and the ability to make meaning of their caregiving role.

Oncologist-patient-caregiver decision-making discussions in the context of advanced cancer in an Asian setting

Objective

Patient involvement in treatment decisions is recommended in clinician‐patient encounters. Little is known about how oncologists engage patients in shared decision making in non‐Western countries. We assessed the prevalence of shared decision making among Singaporean oncologists and analysed how they discussed prognosis.

Methods

We audio‐recorded 100 consultations between advanced cancer patients and their oncologists. We developed a coding system to assess oncologist encouragement of patient participation in decision making and disclosure of an explicit prognosis. We assessed patient and oncologist characteristics that predicted these behaviours.

Results

Forty‐one consultations involved treatment discussions. Oncologists almost always listed more than one treatment option (90%). They also checked patient understanding (34%), discussed pros and cons (34%) and addressed uncertainty (29%). Oncologists discussed prognosis mostly qualitatively (34%) rather than explicitly (17%). They were more likely to give an explicit prognosis when patients/caregivers asked questions related to prognosis.

Conclusion

Oncologists in our sample engaged their patients in decision making. They have areas in which they can improve to involve patients at a deeper level to ensure shared decision making. Findings will be used to develop an intervention targeting oncologists and patients to promote patient involvement in decision making.

Loss of USP28-mediated BRAF degradation drives resistance to RAF cancer therapies

RAF kinase inhibitors are clinically active in patients with BRAF (V600E) mutant melanoma. However, rarely do tumors regress completely, with the majority of responses being short-lived. This is partially mediated through the loss of negative feedback loops after MAPK inhibition and reactivation of upstream signaling. Here, we demonstrate that the deubiquitinating enzyme USP28 functions through a feedback loop to destabilize RAF family members. Loss of USP28 stabilizes BRAF enhancing downstream MAPK activation and promotes resistance to RAF inhibitor therapy in culture and in vivo models. Importantly, we demonstrate that USP28 is deleted in a proportion of melanoma patients and may act as a biomarker for response to BRAF inhibitor therapy in patients. Furthermore, we identify Rigosertib as a possible therapeutic strategy for USP28-depleted tumors. Our results show that loss of USP28 enhances MAPK activity through the stabilization of RAF family members and is a key factor in BRAF inhibitor resistance.

EGFR kinase inhibitors and gastric acid suppressants in EGFR-mutant NSCLC: a retrospective database analysis of potential drug interaction

Background

Erlotinib and gefitinib are weak base drugs whose absorption and clinical efficacy may be impaired by concomitant gastric acid suppressive (AS) therapy, yet proton pump inhibitors (PPIs) and histamine-2 receptor antagonists (H2As) are widely indicated in non-small cell lung cancer (NSCLC) patients for the prevention and treatment of erlotinib-induced gastrointestinal injury and corticosteroid-associated gastric irritation. We assessed the clinical relevance of this potential drug-drug interaction (DDI) in a retrospective cohort of EGFR-mutant NSCLC patients.

Results

The AS usage rate was 35%. In the overall cohort, AS users did not experience poorer OS (HR: 1.47, 95% CI: 0.92 – 2.35, P = 0.10; median, 11.4 versus 17.5 months) or PFS (HR = 1.37, 95% CI: 0.89 – 2.12, P = 0.16; median, 7.6 versus 8.7 months) compared with non-users in multivariate Cox regression analysis. However, subgroup analyses indicated that AS usage was associated with significantly poorer OS and PFS in patients who had fewer or milder comorbidities (Charlson comorbidity index ≤ 2), those with Karnofsky performance status < 90, and never-smokers.

Materials and Methods

A retrospective database analysis of 157 patients given erlotinib or gefitinib for EGFR-mutant advanced NSCLC from two institutions was conducted. Patients were classified as AS-users if the periods of AS and anti-EGFR therapy overlapped by ≥ 30%. Overall survival (OS) and progression-free survival (PFS) were assessed according to AS usage.

Conclusions

Concomitant AS therapy did not have an adverse impact on OS and/or PFS in the overall cohort. Our subgroup findings should be regarded exploratory and require replication in a large prospective cohort.

Third generation EGFR TKIs: current data and future directions

Acquired T790 M mutation is the commonest cause of resistance for advanced non-small cell lung cancer (NSCLC) epidermal growth factor receptor (EGFR) mutant patients who had progressed after first line EGFR TKI (tyrosine kinase inhibitor). Several third generation EGFR TKIs which are EGFR mutant selective and wild-type (WT) sparing were developed to treat these patients with T790 M acquired resistant mutation. Osimertinib is one of the third generation EGFR TKIs and is currently the most advanced in clinical development. Unfortunately, despite good initial response, patients who was treated with third generation EGFR TKI would develop acquired resistance and several mechanisms had been identified and the commonest being C797S mutation at exon 20. Several novel treatment options were being developed for patients who had progressed on third generation EGFR TKI but they are still in the early phase of development. Osimertinib under FLAURA study had been shown to have better progression-free survival over first generation EGFR TKI in the first line setting and likely will become the new standard of care.

Prospective study of UDP-glucuronosyltransferase (UGT) 2B17 genotype and exemestane (Exe) pharmacokinetics (PK) and pharmacodynamics (PD) in Asian, hormone receptor (HR) positive, metastatic breast cancer (MBC) patients

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Background: The active metabolite of Exe, 17-dihydroexemestane (17DhExe), is glucuronidated by UGT2B17 to inactive exemestane-17-O-glucuronide (Exe17- O-glu). UGT2B17*2/*2null genotype is 7 times more common in Asians than Caucasians and leads to reduced Exe glucuronidation in vitro. We studied Exe PK and PD in MBC patients genotyped for UGT2B17. Methods: Eligible patients (HR+ MBC; ≥1 line of endocrine therapy) received Exe 25mg OD till progression. UGBT2B17 genotype was correlated with day 29 (D29) steady-state PK (Exe and metabolites), change in PD biomarkers (estrone and androstenedione) at D29 vs baseline (BL), objective response rate (ORR) [sum of complete and partial responses], and clinical benefit rate (CBR) [response or stable disease ≥ 24 weeks]. Results: In 64 patients enrolled, CBR was 25%; ORR was 3%. Frequencies of UGT2B17*2/*2, UGT2B17*1/*2 and UGT2B17*1/*1 were 72%, 26% and 2%, respectively. PD and PK data were available for 54 and 53 patients respectively. Mean Exe17- O-glu AUC and Cmax were significantly lower, and mean 17DhExe Cmax numerically higher in patients with UGT2B17*2/*2 vs other genotypes (Table 1). 17DhExe Cmax was higher in patients with clinical benefit vs none (5.6 vs 3.8 ng/ml, p=0.02). Frequency of desired PD effect (rise in androstenedione and fall in estrone at D29 vs BL) was 22%. Exe plasma active index (PAI) [Table 1] was higher in patients with a fall in D29 estrone vs those without (14.7 vs 9.5, p=0.05). Conclusions: UGT2B17 genotype affects Exe PK and may have significant PD correlates. Larger studies to examine effects on clinical treatment efficacy are needed. Clinical trial information: NCT01655004. [Table: see text]

Limb Hypothermia for Preventing Paclitaxel-Induced Peripheral Neuropathy in Breast Cancer Patients: A Pilot Study

BACKGROUND

Peripheral neuropathy (PN) due to paclitaxel is a common dose-limiting toxicity with no effective prevention or treatment. We hypothesize that continuous-flow limb hypothermia can reduce paclitaxel-induced PN.

PATIENTS AND METHODS

An internally controlled pilot trial was conducted to investigate the neuroprotective effect of continuous-flow limb hypothermia in breast cancer patients receiving weekly paclitaxel. Patients underwent limb hypothermia of one limb for a duration of 3 h with every paclitaxel infusion, with the contralateral limb used as control. PN was primarily assessed using nerve conduction studies (NCSs) before the start of chemotherapy, and after 1, 3, and 6 months. Skin temperature and tolerability to hypothermia were monitored using validated scores.

RESULTS

Twenty patients underwent a total of 218 cycles of continuous-flow limb hypothermia at a coolant temperature of 22°C. Continuous-flow limb hypothermia achieved mean skin temperature reduction of 1.5 ± 0.7°C and was well tolerated, with no premature termination of cooling due to intolerance. Grade 3 PN occurred in 2 patients (10%), grade 2 in 2 (10%), and grade 1 in 12 (60%). Significant correlation was observed between amount of skin cooling and motor nerve amplitude preservation at 6 months (p < 0.0005). Sensory velocity and amplitude in the cooled limbs were less preserved than in the control limbs, but the difference did not attain statistical significance. One patient with a history of diabetes mellitus had significant preservation of compound muscle action potential in the cooled limb on NCS analysis.

CONCLUSION

This study suggests that continuous limb hypothermia accompanying paclitaxel infusion may reduce paclitaxel-induced PN and have therapeutic potential in select patients and warrants further investigation. The method is safe and well tolerated.

Low Levels of NDRG1 in Nerve Tissue Are Predictive of Severe Paclitaxel-Induced Neuropathy

Introduction

Sensory peripheral neuropathy caused by paclitaxel is a common and dose limiting toxicity, for which there are currently no validated predictive biomarkers. We investigated the relationship between the Charcot-Marie-Tooth protein NDRG1 and paclitaxel-induced neuropathy.

Methods/Materials

Archived mammary tissue specimen blocks of breast cancer patients who received weekly paclitaxel in a single centre were retrieved and NDRG1 immunohistochemistry was performed on normal nerve tissue found within the sample. The mean nerve NDRG1 score was defined by an algorithm based on intensity of staining and percentage of stained nerve bundles. NDRG1 scores were correlated with paclitaxel induced neuropathy

Results

111 patients were studied. 17 of 111 (15%) developed severe paclitaxel-induced neuropathy. The mean nerve NDRG1 expression score was 5.4 in patients with severe neuropathy versus 7.7 in those without severe neuropathy (p = 0.0019). A Receiver operating characteristic (ROC) curve analysis of the mean nerve NDRG1 score revealed an area under the curve of 0.74 (p = 0.0013) for the identification of severe neuropathy, with a score of 7 being most discriminative. 13/54 (24%) subjects with an NDRG1 score < = 7 developed severe neuropathy, compared to only 4/57 (7%) in those with a score >7 (p = 0.017).

Conclusion

Low NDRG1 expression in nerve tissue present within samples of surgical resection may identify subjects at risk for severe paclitaxel-induced neuropathy. Since nerve biopsies are not routinely feasible for patients undergoing chemotherapy for early breast cancer, this promising biomarker strategy is compatible with current clinical workflow.

Molecular targeted therapy in the treatment of advanced stage non-small cell lung cancer (NSCLC)

Historically, patients with advanced stage non-small cell lung cancer (NSCLC) were treated with chemotherapy alone, but a therapeutic plateau has been reached. Advances in the understanding of molecular genetics have led to the recognition of multiple molecularly distinct subsets of NSCLC. This in turn has led to the development of rationally directed molecular targeted therapy, leading to improved clinical outcomes. Tumour genotyping for EGFR mutations and ALK rearrangement has meant chemotherapy is no longer given automatically as first-line treatment but reserved for when patients do not have a 'druggable' driver oncogene. In this review, we will address the current status of clinically relevant driver mutations and emerging new molecular subsets in lung adenocarcinoma and squamous cell carcinoma, and the role of targeted therapy and mechanisms of acquired resistance to targeted therapy.