Robust biomarker discovery through multiplatform multiplex image analysis of breast cancer clinical cohorts.

Spatial profiling of tissues promises to elucidate tumor-microenvironment interactions and enable development of spatial biomarkers to predict patient response to immunotherapy and other therapeutics. However, spatial biomarker discovery is often carried out on a single patient cohort or imaging technology, limiting statistical power and increasing the likelihood of technical artifacts. In order to analyze multiple patient cohorts profiled on different platforms, we developed methods for comparative data analysis from three disparate multiplex imaging technologies: 1) cyclic immunofluorescence data we generated from 102 breast cancer patients with clinical follow-up, in addition to publicly available 2) imaging mass cytometry and 3) multiplex ion-beam imaging data. We demonstrate similar single-cell phenotyping results across breast cancer patient cohorts imaged with these three technologies and identify cellular abundance and proximity-based biomarkers with prognostic value across platforms. In multiple platforms, we identified lymphocyte infiltration as independently associated with longer survival in triple negative and high-proliferation breast tumors. Then, a comparison of nine spatial analysis methods revealed robust spatial biomarkers. In estrogen receptor-positive disease, quiescent stromal cells close to tumor were more abundant in good prognosis tumors while tumor neighborhoods of mixed fibroblast phenotypes were enriched in poor prognosis tumors. In triple-negative breast cancer (TNBC), macrophage proximity to tumor and B cell proximity to T cells were greater in good prognosis tumors, while tumor neighborhoods of vimentin-positive fibroblasts were enriched in poor prognosis tumors. We also tested previously published spatial biomarkers in our ensemble cohort, reproducing the positive prognostic value of isolated lymphocytes and lymphocyte occupancy and failing to reproduce the prognostic value of tumor-immune mixing score in TNBC. In conclusion, we demonstrate assembly of larger clinical cohorts from diverse platforms to aid in prognostic spatial biomarker identification and validation.

Trends in the Incidence and Treatment of Early-Onset Pancreatic Cancer.

BACKGROUND: Early-onset pancreatic cancer (EOPC) is relatively uncommon. It is unclear if the incidence of EOPC is evolving and how these patients are treated. METHODS: We conducted a retrospective, population-based study using SEER 2004-2016. We evaluated annual age-adjusted incidence rate (AAIR), stage at presentation, and race/ethnicity among 7802 patients plus treatment patterns in 7307 patients (excluding neuroendocrine tumors) younger than 50. RESULTS: The AAIR was higher in males while the rate increased faster in females. The AAIR was highest in Non-Hispanic Black patients and increased for all races/ethnicities over time. The percentage of patients diagnosed with distant-stage disease decreased over time but increased for localized-stage disease. Hispanic patients made up a larger proportion of patients over time compared to other groups. For localized-stage disease, primary surgery alone was the most utilized modality of therapy. For regional-stage disease, chemotherapy with radiation was the most utilized modality from 2004-2010, whereas chemotherapy alone was the most utilized from 2011-2016. For distant-stage disease, chemotherapy alone was the most utilized and used increasingly over time. Patients with EOPC received radiation and chemotherapy at similar rates to, and underwent surgery more frequently, than patients 50-69. CONCLUSIONS: The AAIR of EOPC increased over time, faster so in females. Groups who experience a higher burden of pancreatic cancer, particularly African Americans, experienced a higher burden of EOPC. Treatment of localized and regional-stage disease did not follow standard treatment guidelines for pancreatic cancer. Our findings indicate that EOPC patients received more treatment than their older counterparts.

Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy.

Diffusion-weighted magnetic resonance imaging data obtained early in the course of therapy can be used to estimate tumor proliferation rates, and the estimated rates can be used to predict tumor cellularity at the conclusion of therapy. Six patients underwent diffusion-weighted magnetic resonance imaging immediately before, after one cycle, and after all cycles of neoadjuvant chemotherapy. Apparent diffusion coefficient values were calculated for each voxel and for a whole tumor region of interest. Proliferation rates were estimated using the apparent diffusion coefficient data from the first two time points and then used with the logistic model of tumor growth to predict cellularity after therapy. The predicted number of tumor cells was then correlated to the corresponding experimental data. Pearson's correlation coefficient for the region of interest analysis yielded 0.95 (P = 0.004), and, after applying a 3 × 3 mean filter to the apparent diffusion coefficient data, the voxel-by-voxel analysis yielded a Pearson correlation coefficient of 0.70 ± 0.10 (P < 0.05).

Early detection of SARS-CoV-2 from staging PET-CT.

OBJECTIVE: SARS-CoV-2 infection may manifest with minimal or no clinical symptoms. However, signs of infection may appear on routine imaging obtained in the care of patients with cancer. The management of patients planned for chemoradiation with asymptomatic or mildly symptomatic SARS-CoV-2 infection is uncertain. METHODS: Here, we present a case study of a mildly symptomatic patient with anal cancer diagnosed with SARS-CoV-2 from a staging PET-CT scan. RESULTS: PET-CT scan for anal cancer staging demonstrated pulmonary avidity suspicious for an infectious, rather than malignant, process. In the setting of these imaging findings and new-onset anosmia, viral polymerase chain reaction was ordered and found to be positive for SARS-CoV-2. To avoid myelosuppression in the setting of active infection, planned chemoradiation was delayed until cessation of viral shedding. CONCLUSION: In the COVID-19 era, oncologists obtaining routine staging imaging should have high diagnostic suspicion for subclinical SARS-CoV-2 infection. To avoid precipitating severe pneumonia and hospitalization, multidisciplinary discussion with risk-benefit analysis is recommended before initiating immunosuppressive therapies such as chemoradiation.

Targeting MYCN-expressing triple-negative breast cancer with BET and MEK inhibitors.

Triple-negative breast cancer (TNBC) is an aggressive form of breast cancer that does not respond to endocrine therapy or human epidermal growth factor receptor 2 (HER2)-targeted therapies. Individuals with TNBC experience higher rates of relapse and shorter overall survival compared to patients with receptor-positive breast cancer subtypes. Preclinical discoveries are needed to identify, develop, and advance new drug targets to improve outcomes for patients with TNBC. Here, we report that MYCN, an oncogene typically overexpressed in tumors of the nervous system or with neuroendocrine features, is heterogeneously expressed within a substantial fraction of primary and recurrent TNBC and is expressed in an even higher fraction of TNBCs that do not display a pathological complete response after neoadjuvant chemotherapy. We performed high-throughput chemical screens on TNBC cell lines with varying amounts of MYCN expression and determined that cells with higher expression of MYCN were more sensitive to bromodomain and extraterminal motif (BET) inhibitors. Combined BET and MEK inhibition resulted in a synergistic decrease in viability, both in vitro and in vivo, using cell lines and patient-derived xenograft (PDX) models. Our preclinical data provide a rationale to advance a combination of BET and MEK inhibitors to clinical investigation for patients with advanced MYCN-expressing TNBC.

The Importance of Imaging in Radiation Oncology for National Clinical Trials Network Protocols.

Imaging is essential in successfully executing radiation therapy (RT) in oncology clinical trials. As technically sophisticated diagnostic imaging and RT were incorporated into trials, quality assurance in the National Clinical Trials Network groups entered a new era promoting image acquisition and review. Most trials involving RT require pre- and post-therapy imaging for target validation and outcome assessment. The increasing real-time (before and during therapy) imaging and RT object reviews are to ensure compliance with trial objectives. Objects easily transmit digitally for review from anywhere in the world. Physician interpretation of imaging and image application to RT treatment plans is essential for optimal trial execution. Imaging and RT data sets are used to credential RT sites to confirm investigator and institutional ability to meet trial target volume delineation and delivery requirements. Real-time imaging and RT object reviews can be performed multiple times during a trial to assess response to therapy and application of RT objects. This process has matured into an effective data management mechanism. When necessary, site and study investigators review objects together through web media technologies to ensure the patient is enrolled on the appropriate trial and the intended RT is planned and executed in a trial-compliant manner. Real-time imaging review makes sure: (1) the patient is entered and eligible for the trial, (2) the patient meets trial-specific adaptive therapy requirements, if applicable, and (3) the intended RT is according to trial guidelines. This review ensures the study population is uniform and the results are believable and can be applied to clinical practice.

Phase II study of preoperative paclitaxel/cisplatin with radiotherapy in locally advanced esophageal cancer.

PURPOSE: Preoperative paclitaxel-based chemoradiotherapy may improve the response rates and survival in patients with localized esophageal cancer. We evaluated paclitaxel-based induction chemoradiotherapy in patients with localized esophageal cancer to determine its feasibility, clinical response, pathologic response, and overall survival. METHODS AND MATERIALS: Between 1995 and 1998, 50 patients were enrolled in this study. At study entry, patients were categorized as either resectable or unresectable according to evaluation by an experienced thoracic surgeon. All patients were treated with paclitaxel 175 mg/m2 and cisplatin 75 mg/m2 on Day 1, 29 with radiotherapy to 3,000 cGy in 15 fractions. Resectable patients underwent esophagectomy 4 weeks later. Postoperatively, patients received two cycles of paclitaxel 175 mg/m2 on Day 1 and 5-fluorouracil 350 mg/m2 and leucovorin 300 mg on Days 1-3, given every 28 days. Patients who were deemed unsuitable for resection from the outset continued radiotherapy to a total dose of 6,000 cGy. RESULTS: Of the 50 patients, all began neoadjuvant chemoradiotherapy, 40 patients underwent surgery, and 25 patients completed postoperative chemotherapy. A pathologic complete response was seen in 7 patients (17.5%). Patients with a pathologic response had a median survival of 32.4 months vs. 14.4 months for nonresponders (p < 0.001). Patients with a clinical response had a median survival of 25.2 months compared with 15.6 months for nonresponders (p = 0.002). At a median follow up of 19.8 months (range 2.4-100.8), the median survival was 20.4 months and the 3-year overall survival rate was 23.2%. CONCLUSION: Although preoperative cisplatin/paclitaxel with 3,000 cGy was tolerable, this multimodality regimen did not appear to be superior to standard cisplatin/5-fluorouracil-containing regimens and its use is not recommended.

Use of preferred music to reduce emotional distress and symptom activity during radiation therapy.

Music therapy has decreased anxiety levels in many medical settings. This randomized clinical trial examined the effectiveness of a music listening intervention, delivered by a board-certified music therapist, in patients undergoing curative radiation therapy (RT). Emotional distress (anxiety, depression, and treatment-related distress) and symptoms (fatigue and pain) were measured at baseline, mid-treatment, and end of treatment in 63 patients undergoing RT. Although patients who listened to self-selected music reported lower anxiety and treatment-related distress, there was a decline in these outcomes for patients in both groups over the course of RT. Depression, fatigue, and pain were not appreciably affected by music therapy. Within the music group, there was a significant correlation between number of times music was used/week and the change in treatment-related distress, suggesting that higher doses of music produced greater declines in distress. While these findings provided some support for the use of music in reducing distress during RT, further research demonstrating clear differences between intervention and control conditions is needed. Physical symptoms were not affected by the use of music over the course of RT.

Phase I trial of Orzel (UFT plus leucovorin), cisplatin, and radiotherapy in the treatment of potentially resectable esophageal cancer.

PURPOSE: Fluorinated pyrimidines have been established as radiosensitizers in the combined modality therapy of esophageal cancer. UFT, an oral combination of a 5-fluorouracil pro-drug (uracil) and a dihydropyrimidine dehydrogenase inhibitor (ftorafur), may provide improvement in the ease of administration with equal efficacy. This Phase I study was designed to determine the maximal tolerated dose and dose-limiting toxicity of UFT, leucovorin, and cisplatin when given with radiotherapy in the neoadjuvant treatment of resectable esophageal cancer. METHODS: Chemotherapy consisted of i.v. cisplatin 80 mg/m(2) (Days 1 and 22) and UFT with leucovorin orally on Days 1-35. UFT was escalated in 50-mg/m(2) increments, starting at 200 mg/m(2)/d. Radiotherapy consisted of 4500 cGy in 25 fractions. Patients underwent resection 4-6 weeks after chemoradiotherapy. RESULTS: Ten patients with resectable esophageal cancer were enrolled. Of the 7 patients entered at dose level 1, 1 developed a dose-limiting toxicity of nausea. All 3 patients entered at dose level 2 developed dose-limiting toxicity. The maximal tolerated dose for UFT was the starting level, 200 mg/m(2)/d. Of the 10 patients enrolled, 8 underwent esophagectomy and 2 developed progressive disease and did not undergo surgery. The disease of 6 of the 8 patients was downstaged at surgery. CONCLUSION: The recommended UFT dose for Phase II studies is 200 mg/m(2)/d given orally in two divided doses when given with leucovorin, cisplatin, and radiotherapy.

A phase I study of concurrent 9-nitro-20(s)-camptothecin (9NC/Orathecin) and radiation therapy in the treatment of locally advanced adenocarcinoma of the pancreas.

BACKGROUND AND PURPOSE: In vitro studies have suggested that 9-nitro-20(s)-Camptothecin (9NC/Orathecin/Rubitecan) can enhance the effects of radiation. We conducted a phase I study to assess the toxicity and determine the maximum tolerated dose of 9NC when combined with radiation in patients with locally advanced adenocarcinoma of the pancreas. PATIENTS AND METHODS: Eleven patients with locally advanced adenocarcinoma of the pancreas received 9NC, orally during radiation. Radiation therapy consisted of 45 Gy in 25 fractions given over 5 weeks. The starting dose of 9NC was 1 mg/m2/day. RESULTS: Eight patients received 9NC at a dose of 1 mg/m2/day and three patients received a dose of 1.25 mg/m2/day. Dose-limiting toxicity (DLT) was defined as >or=grade 3 non-hematologic toxicity and >or=grade 4 hematologic toxicity. Dose-limiting toxicity of grade 3 nausea/vomiting developed in one patient at the first dose level. At dose level 2, two of three patients developed DLT. Both developed grade 3 nausea, fatigue, and anorexia. Additionally, one of these patients had grade 3 dehydration and the other had grade 4 leukopenia, grade 3 vomiting, and grade 3 weakness. CONCLUSIONS: 9NC, 1 mg/m2/day, can be given concurrently with radiation with acceptable toxicity.

Combined modality management of breast cancer: development of predictive markers through proteomics.

The treatment of localized breast cancer often requires the use of surgery, radiation, and chemotherapy. The optimal sequencing of these treatments remains controversial. Although randomized studies have not found an improvement in survival with the use of neoadjuvant chemotherapy, a higher percentage of patients can undergo breast conservation. This clinical setting also allows us the unique opportunity to measure in vivo response to a select drug or drug combination. While there have been many retrospective studies looking at prognostic markers of response, there have been very few prospective studies developing markers that predict ultimate outcome from a specific drug or drug combination. This review discusses some of the newer technologies being used to develop predictive markers of therapeutic response. Proteomics is the study of the complete set of proteins expressed in a cell. It is a powerful tool to compare two different samples. Serial biopsies that compare the protein profile before and 24 hours after a cycle of chemotherapy may allow us to determine particular protein profiles that predict for ultimate clinical outcome.