Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study.

BACKGROUND: Only around 20-30% of patients with non-small-cell lung cancer (NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based biomarkers (eg, PD-L1) are limited by suboptimal performance, tissue availability, and tumour heterogeneity, radiographic images might holistically capture the underlying cancer biology. We aimed to investigate the application of deep learning on chest CT scans to derive an imaging signature of response to immune checkpoint inhibitors and evaluate its added value in the clinical context. METHODS: In this retrospective modelling study, 976 patients with metastatic, EGFR/ALK negative NSCLC treated with immune checkpoint inhibitors at MD Anderson and Stanford were enrolled from Jan 1, 2014, to Feb 29, 2020. We built and tested an ensemble deep learning model on pretreatment CTs (Deep-CT) to predict overall survival and progression-free survival after treatment with immune checkpoint inhibitors. We also evaluated the added predictive value of the Deep-CT model in the context of existing clinicopathological and radiological metrics. FINDINGS: Our Deep-CT model demonstrated robust stratification of patient survival of the MD Anderson testing set, which was validated in the external Stanford set. The performance of the Deep-CT model remained significant on subgroup analyses stratified by PD-L1, histology, age, sex, and race. In univariate analysis, Deep-CT outperformed the conventional risk factors, including histology, smoking status, and PD-L1 expression, and remained an independent predictor after multivariate adjustment. Integrating the Deep-CT model with conventional risk factors demonstrated significantly improved prediction performance, with overall survival C-index increases from 0·70 (clinical model) to 0·75 (composite model) during testing. On the other hand, the deep learning risk scores correlated with some radiomics features, but radiomics alone could not reach the performance level of deep learning, indicating that the deep learning model effectively captured additional imaging patterns beyond known radiomics features. INTERPRETATION: This proof-of-concept study shows that automated profiling of radiographic scans through deep learning can provide orthogonal information independent of existing clinicopathological biomarkers, bringing the goal of precision immunotherapy for patients with NSCLC closer. FUNDING: National Institutes of Health, Mark Foundation Damon Runyon Foundation Physician Scientist Award, MD Anderson Strategic Initiative Development Program, MD Anderson Lung Moon Shot Program, Andrea Mugnaini, and Edward L C Smith.

Moderators of the association between stigma and psychological and cancer-related symptoms in women with non-small cell lung cancer.

OBJECTIVE: Lung cancer patients, particularly women, are vulnerable to experience disease-related stigma, which is linked to greater psychological distress and worse treatment outcomes. To inform future stigma-resilience interventions, we examined if mindfulness, self-compassion, and social support might buffer the associations between perceived lung cancer stigma and psychological and cancer-related symptoms. METHODS: In this cross-sectional study, women with recently diagnosed non-small cell lung cancer undergoing cancer treatment completed measures of Cataldo Lung Cancer Stigma Scale, depressive (Center for Epidemiologic Studies Depression Scale), stress (Impact of Events Scale) and cancer-related (MD Anderson Symptom Inventory-Lung Cancer) symptoms, mindfulness (Mindful Attention Awareness Scale), self-compassion (Self-Compassion Scale), and social support (Social Provisions Scale). RESULTS: The sample included 56 women (mean age = 65 years; 71% non-Hispanic White; 50% college educated; 74% advanced stage) who had consented to participate in an online support group study. Most (70%) had a smoking history and reported moderate levels of stigma (M = 36.28, SD = 10.51). Based on general linear modeling, mindfulness moderated the associations between stigma and depressive symptoms (F = 5.78, p = 0.02), cancer-related stress (F = 12.21, p = 0.002), and cancer-related symptom severity (F = 4.61, p = 0.04), such that, only for women scoring low in mindfulness, the associations between stigma and symptoms were significant. For those scoring high in mindfulness, the associations between stigma and symptoms were not significant supporting a buffering effect. Self-compassion and social support did not significantly moderate the stigma and symptom associations. CONCLUSIONS: Higher levels of mindfulness may protect women from psychological and cancer-related symptoms typically associated with the stigmatizing experience of a lung cancer diagnosis. Yet, longitudinal studies and randomized controlled designs are needed to identify mindfulness as a causal protective factor.

Pilot Randomized Controlled Trial in Women With Non-Small Cell Lung Cancer to Assess the Feasibility of Delivering Group-Based Psychosocial Care via Videoconference.

BACKGROUND: The goal of this pilot randomized controlled trial was to examine the feasibility and acceptability of delivering group-based psychosocial care via videoconference (ie, Zoom) to women with lung cancer undergoing treatment. METHODS: At baseline, women indicated their typical computer and internet use and were then randomized to a group-based intervention that either focused on mindfulness training or psychoeducation. Participants completed 1 Zoom "practice run" prior to starting the 5 group sessions (1 per week). After the last session, they evaluated their experiences with the intervention and its delivery. RESULTS: With a consent rate of 68%, 54 women (mean age = 66 years; 69% non-Hispanic White; 48% with stage IV disease) were equally randomized. Attendance was high in both arms (session mean, mindfulness = 4.38; education = 4.75; 85% attended all sessions). Across arms, all women rated the program as useful; most preferred group-based delivery (67%) and remote delivery (50%) or had no preference. Although the sample's typical computer use was relatively low (eg, 19% said that they rarely or never use a computer), most women (76%) indicated that Zoom was "very easy" or "easy" to use. After only 0 to 1 attempts, 56% felt comfortable but 26% stated that they never felt comfortable with the technology. CONCLUSIONS: It seems to be feasible to deliver group-based psychosocial interventions via videoconference in women with lung cancer undergoing treatment. Challenges regarding scheduling the group sessions and familiarizing older rather than infrequent computer users with the technology were encountered but resolved over the course of the trial.

Esophageal adenocarcinoma with any component of signet ring cells portends poor prognosis and response to neoadjuvant therapy.

BACKGROUND: Multiple investigations have shown inferior outcomes for esophageal cancer patients with signet ring cell (SRC) histology. Traditionally, SRC adenocarcinoma has been defined by ≥50% of the tumor composed of SRC. We hypothesized that patients with SRC even <50% would show resistance to standard multimodality therapy with poorer long-term outcomes. METHODS: Patients treated with trimodality therapy for adenocarcinoma from 2006 to 2018 were evaluated for SRC on pretreatment biopsy specimens. Available hematoxylin and eosin slides containing SRC tumors were re-reviewed by an esophageal pathologist to quantify the percent composition of SRC. RESULTS: SRC histology was identified on at least 1 pathologic specimen in 106 of 819 (13%) patients. Rates of pathologic complete response (pCR) among usual-type and SRC tumors were 25% (177/713) and 10% (11/106), respectively (P = .006). The pretreatment SRC components did not independently affect the rate of pCR (1%-10% SRC: 4% [2/46] pCR; 11%-49% SRC: 25% [7/28] pCR; 50%-100% SRC: 7% [2/30] pCR). Kaplan-Meier analysis demonstrated worse survival among patients with any degree of SRC present on pretreatment biopsy, as compared with usual-type esophageal adenocarcinoma (P < .0001). Cox multivariable analysis failed to identify a relationship between increasing SRC component and poorer survival. CONCLUSIONS: We present the only known evaluation of the percentage of SRC component in esophageal carcinoma. Our data support the hypothesis that esophageal adenocarcinoma with any component of SRC are more resistant to chemoradiation with poorer survival. Pathologic reporting of esophageal adenocarcinoma should include any component of SRC. Alternative therapies in patients with any SRC component may be indicated.

Cancer Surgery Scheduling During and After the COVID-19 First Wave: The MD Anderson Cancer Center Experience.

OBJECTIVE: To summarize the multi-specialty strategy and initial guidelines of a Case Review Committee in triaging oncologic surgery procedures in a large Comprehensive Cancer Center and to outline current steps moving forward after the initial wave. SUMMARY OF BACKGROUND DATA: The impetus for strategic rescheduling of operations is multifactorial and includes our societal responsibility to minimize COVID-19 exposure risk and propagation among patients, the healthcare workforce, and our community at large. Strategic rescheduling is also driven by the need to preserve limited resources. As many states have already or are considering to re-open and relax stay-at-home orders, there remains a continued need for careful surgical scheduling because we must face the reality that we will need to co-exist with COVID-19 for months, if not years. METHODS: The quality officers, chairs, and leadership of the 9 surgical departments in our Division of Surgery provide specialty-specific approaches to appropriately triage patients. RESULTS: We present the strategic approach for surgical rescheduling during and immediately after the COVID-19 first wave for the 9 departments in the Division of Surgery at The University of Texas MD Anderson Cancer Center in Houston, Texas. CONCLUSIONS: Cancer surgeons should continue to use their oncologic knowledge to determine the window of opportunity for each surgical procedure, based on tumor biology, preoperative treatment sequencing, and response to systemic therapy, to safely guide patients through this cautious recovery phase.

Role of Hsp-70 in triptolide-mediated cell death of neuroblastoma.

BACKGROUND: Our recent work demonstrated that treatment of neuroblastoma with triptolide causes apoptotic cell death in vitro and decreases tumor size in vivo. Triptolide therapy has been associated with reduced expression of Hsp-70, suggesting a mechanism of cell killing involving Hsp-70 inhibition. The principal objective of this study was to investigate the role of Hsp-70 in triptolide-mediated cell death in neuroblastoma. MATERIALS AND METHODS: Neuroblastoma cells were transfected with Hsp-70-specific siRNA. Viability, caspase activity, and phosphatidylserine externalization were subsequently measured. An orthotopic, syngeneic murine tumor model was developed, and randomized mice received daily injections of triptolide or vehicle. At 21 d, mice were sacrificed. Immunohistochemisty was used to characterize Hsp-70 levels in residual tumors, and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) was performed to identify cells undergoing apoptosis. RESULTS: Targeted silencing of Hsp-70 with siRNA significantly decreased cellular viability, augmented caspase-3 activity, and resulted in increased annexin-V staining. These effects parallel those findings obtained following treatment with triptolide. Residual tumors from triptolide-treated mice showed minimal staining with Hsp-70 immunohistochemistry, while control tumors stained prominently. Tumors from treated mice demonstrated marked staining with the TUNEL assay, while control tumors showed no evidence of apoptosis. CONCLUSIONS: Use of siRNA to suppress Hsp-70 expression in neuroblastoma resulted in apoptotic cell death, similar to the effects of triptolide. Residual tumors from triptolide-treated mice expressed decreased levels of Hsp-70 and demonstrated significant apoptosis. These findings support the hypothesis that Hsp-70 inhibition plays a significant role in triptolide-mediated neuroblastoma cell death.