The step-like evolution of Arctic open water.

September open water fraction in the Arctic is analyzed using the satellite era record of ice concentration (1979-2017). Evidence is presented that three breakpoints (shifts in the mean) occurred in the Pacific sector, with higher amounts of open water starting in 1989, 2002, and 2007. Breakpoints in the Atlantic sector record of open water are evident in 1971 in longer records, and around 2000 and 2011. Multiple breakpoints are also evident in the Canadian and Russian halves. Statistical models that use detected breakpoints of the Pacific and Atlantic sectors, as well as models with breakpoints in the Canadian and Russian halves and the Arctic as a whole, outperform linear trend models in fitting the data. From a physical standpoint, the results support the thesis that Arctic sea ice may have critical points beyond which a return to the previous state is less likely. From an analysis standpoint, the findings imply that de-meaning the data using the breakpoint means is less likely to cause spurious signals than employing a linear detrend.

Success and failure rates of tumor genotyping techniques in routine pathological samples with non-small-cell lung cancer.

INTRODUCTION: Identification of some somatic molecular alterations in non-small-cell lung cancer (NSCLC) has become evidence-based practice. The success and failure rate of using commercially available tumor genotyping techniques in routine day-to-day NSCLC pathology samples is not well described. We sought to evaluate the success and failure rate of EGFR mutation, KRAS mutation, and ALK FISH in a cohort of lung cancers subjected to routine clinical tumor genotype. METHODS: Clinicopathologic data, tumor genotype success and failure rates were retrospectively compiled and analyzed from 381 patient-tumor samples. RESULTS: From these 381 patients with lung cancer, the mean age was 65 years, 61.2% were women, 75.9% were white, 27.8% were never smokers, 73.8% had advanced NSCLC and 86.1% had adenocarcinoma histology. The tumor tissue was obtained from surgical specimens in 48.8%, core needle biopsies in 17.9%, and as cell blocks from aspirates or fluid in 33.3% of cases. Anatomic sites for tissue collection included lung (49.3%), lymph nodes (22.3%), pleura (11.8%), bone (6.0%), brain (6.0%), among others. The overall success rate for EGFR mutation analysis was 94.2%, for KRAS mutation 91.6% and for ALK FISH 91.6%. The highest failure rates were observed when the tissue was obtained from image-guided percutaneous transthoracic core-needle biopsies (31.8%, 27.3%, and 35.3% for EGFR, KRAS, and ALK tests, respectively) and bone specimens (23.1%, 15.4%, and 23.1%, respectively). In specimens obtained from bone, the failure rates were significantly higher for biopsies than resection specimens (40% vs. 0%, p=0.024 for EGFR) and for decalcified compared to non-decalcified samples (60% vs. 5.5%, p=0.021 for EGFR). CONCLUSIONS: Tumor genotype techniques are feasible in most samples, outside small image-guided percutaneous transthoracic core-needle biopsies and bone samples from core biopsies with decalcification, and therefore expansion of routine tumor genotype into the care of patients with NSCLC may not require special tissue acquisition or manipulation.

Where do patients with cancer in Iowa receive radiation therapy?

PURPOSE: Multiple studies have shown survival benefits in patients with cancer treated with radiation therapy, but access to treatment facilities has been found to limit its use. This study was undertaken to examine access issues in Iowa and determine a methodology for conducting a similar national analysis. PATIENTS AND METHODS: All Iowa residents who received radiation therapy regardless of where they were diagnosed or treated were identified through the Iowa Cancer Registry (ICR). Radiation oncologists were identified through the Iowa Physician Information System (IPIS). Radiation facilities were identified through IPIS and classified using the Commission on Cancer accreditation standard. RESULTS: Between 2004 and 2010, 113,885 invasive cancers in 106,603 patients, 28.5% of whom received radiation treatment, were entered in ICR. Mean and median travel times were 25.8 and 20.1 minutes, respectively, to the nearest facility but 42.4 and 29.1 minutes, respectively, to the patient's chosen treatment facility. Multivariable analysis predicting travel time showed significant relationships for disease site, age, residence location, and facility category. Residents of small and isolated rural towns traveled nearly 3× longer than urban residents to receive radiation therapy, as did patients using certain categories of facilities. CONCLUSION: Half of Iowa patients could reach their nearest facility in 20 minutes, but instead, they traveled 30 minutes on average to receive treatment. The findings identified certain groups of patients with cancer who chose more distant facilities. However, other groups of patients with cancer, namely those residing in rural areas, had less choice, and some had to travel considerably farther to radiation facilities than urban patients.

Access to chemotherapy services by availability of local and visiting oncologists.

PURPOSE: Geographic disparities have raised important questions about factors related to treatment choice and travel time, which can affect access to cancer care. PATIENTS AND METHODS: Iowa residents who received chemotherapy regardless of where they were diagnosed or treated were identified through the Iowa Cancer Registry (ICR), a member of the SEER program. Oncologists and their practice locations, including visiting consulting clinics (VCCs), were tracked through the Iowa Physician Information System. Oncologists, VCCs, and patients were mapped to hospital service areas (HSAs). RESULTS: Between 2004 and 2010, 113,885 newly diagnosed invasive cancers were entered into ICR; among patients in whom these cancers were diagnosed, 31.6% received chemotherapy as a first course of treatment. During this period, 106 Iowa oncologists practiced in 14 cities, and 82 engaged in outreach to 85 VCCs in 77 rural communities. Of patients receiving chemotherapy, 63.0% resided in an HSA that had a local oncologist and traveled 21 minutes for treatment on average. In contrast, 29.3% of patients receiving chemotherapy resided in an HSA with a VCC, and 7.7% resided in an HSA with no oncology provider. These latter two groups of patients traveled 58 minutes on average to receive chemotherapy. Availability of oncologists and VCCs affected where patients received chemotherapy. The establishment of VCCs increased access to oncologists in rural communities and increased the rate that chemotherapy was administered in rural communities from 10% to 24%, a notable increase in local access. CONCLUSION: Access to cancer care is dependent on the absolute number of providers, but it is also dependent on their geographic distribution.

Enhancing the American Society of Clinical Oncology workforce information system with geographic distribution of oncologists and comparison of data sources for the number of practicing oncologists.

PURPOSE: The American Society of Clinical Oncology (ASCO) 2007 workforce report projected US oncologist shortages by 2020. Intervening years have witnessed shifting trends in both supply and demand, demonstrating the need to capture data in a dynamic manner. The ASCO Workforce Information System (WIS) provides an infrastructure to update annually emerging characteristics of US oncologists (medical oncologists, hematologist/oncologists, and hematologists). METHODS: Several possible data sources exist to capture the number of oncologists in the United States. The WIS primarily uses the American Medical Association Physician Masterfile database because it provides detailed demographics. This analysis also compares total counts of oncologists from American Board of Internal Medicine (ABIM) certification reports, the National Provider Identifier (NPI) database, and Medicare Physician Compare data. The analysis also examines geographic distribution of oncologists by age and US population data. RESULTS: For each of the data sources, we pulled 2013 data. The Masterfile identified 13,409 oncologists. ABIM reported 13,757 oncologists. NPI listed 11,664 oncologists. Physician Compare identified 11,343 oncologists. Mapping of these data identifies distinct areas (primarily in central United States, Alaska, and Hawaii) that seem to lack ready access to oncologists. DISCUSSION: Efforts to survey oncologists about practice patterns will help determine if productivity and service delivery will change significantly. ASCO is committed to tracking oncologist supply and demand, as well as to providing timely analysis of strategies that will help address any shortages that may occur in specific regions or practice settings.

Adequacy of lymph node transbronchial needle aspirates using convex probe endobronchial ultrasound for multiple tumor genotyping techniques in non-small-cell lung cancer.

INTRODUCTION: Adequate tumor acquisition is essential to identify somatic molecular alterations in non-small-cell lung cancer (NSCLC), such as epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase (ALK) translocations. The success and failure rates for tumor genotyping of tissue obtained from fine-needle aspirates of nodal tissue using a convex probe endobronchial ultrasound (CP-EBUS) and other diagnostic modalities in routine NSCLC care have not been described. METHODS: Clinicopathologic data, tumor genotype success and failure rates were retrospectively compiled and analyzed from 207 patient-tumor samples sent for routine tumor genotype in clinical practice, including 42 patient-tumor samples obtained from hilar or mediastinal lymph nodes using CP-EBUS. RESULTS: The median age of the patients was 65 years, 62.3% were women, 77.8% were white, 26.6% were never smokers, 73.9% had advanced NSCLC, and 84.1% had adenocarcinoma histology. Tumor tissue was obtained from CP-EBUS-derived hilar or mediastinal nodes in 42 cases (20.2% of total). In this latter cohort, the overall success rate for EGFR mutation analysis was 95.2%, for Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation 90.5%, and for ALK fluorescence in situ hybridization 90.5%. In the complete 207 tumors, the success rate for EGFR was 92.3%, for KRAS 91.8%, and for ALK 89.9%. The failure rates were not significantly different when comparing CP-EBUS-derived nodal tissue versus all other samples or versus surgical biopsies of mediastinal nodes, but were significantly lower than image-guided percutaneous transthoracic core-needle biopsies. CONCLUSIONS: The success rate of multiple tumor genomic analyses techniques for EGFR, KRAS, and ALK gene abnormalities using routine lung cancer tissue samples obtained from hilar or mediastinal lymph nodes by means of CP-EBUS exceeds 90%, and this method of tissue acquisition is not inferior to other specimen types. Tumor genotype techniques are feasible in most CP-EBUS-derived samples and therefore further expansion of routine tumor genotype for the care of patients with NSCLC may be possible using targeted sample acquisition through CP-EBUS.

Smoking status and self-reported race affect the frequency of clinically relevant oncogenic alterations in non-small-cell lung cancers at a United States-based academic medical practice.

INTRODUCTION: The identification of somatic genomic aberrations in non-small-cell lung cancer (NSCLC) is part of evidence-based practice guidelines for care of patients with NSCLC. We sought to establish the frequency and correlates with these changes in routine patient-tumor sample pairs. METHODS: Clinicopathologic data and tumor genotype were retrospectively compiled and analyzed from an overall cohort of 381 patient-tumor samples. RESULTS: Of these patients, 75.9% self-reported White race, 13.1% Asian, 6.5% Black, 27.8% were never-smokers, 54.9% former-smokers and 17.3% current-smokers. The frequency of EGFR mutations was 23.9% (86/359), KRAS mutations 34.2% (71/207) and ALK FISH positivity 9.1% (23/252) in tumor samples, and almost all had mutually exclusive results for these oncogenes. In tumors from White, Black and Asian patients, the frequencies of EGFR mutations were 18.4%, 18.2% and 62%, respectively; of ALK FISH positivity 7.81%, 0% and 14.8%, respectively; and of KRAS mutations 41.6%, 20% and 0%. These patterns changed significant with increasing pack-year history of smoking. In White patients, the frequencies of EGFR mutations and ALK FISH positivity decreased with increasing pack-year cohorts; while the frequencies of KRAS mutations increased. Interestingly, in Asian patients the frequencies of EGFR mutations were similar in never smokers and in the cohorts with less than 45pack-year histories of smoking and only decreased in the 45pack-year plus cohort. CONCLUSIONS: The frequencies of somatic EGFR, KRAS, and ALK gene abnormalities using routine lung cancer tissue samples from our United States-based academic medical practice reflect the diverse ethnicity (with a higher frequency of EGFR mutations in Asian patients) and smoking patterns (with an inverse correlation between EGFR mutation and ALK rearrangement) of our tested population. These results may help other medical practices appreciate the expected results from introduction of routine tumor genotyping techniques into their day-to-day care of NSCLC.

Tracking the workforce: the American Society of Clinical Oncology workforce information system.

PURPOSE: In anticipation of oncologist workforce shortages projected as part of a 2007 study, the American Society of Clinical Oncology (ASCO) worked with a contractor to create a workforce information system (WIS) to assemble the latest available data on oncologist supply and cancer incidence and prevalence. ASCO plans to publish findings annually, reporting on new data and tracking trends over time. METHODS: THE WIS REPORT IS COMPOSED OF THREE SECTIONS: supply, new entrants, and cancer incidence and prevalence. Tabulations of the number of oncologists in the United States are derived mainly from the American Medical Association Physician Masterfile. Information on fellows and residents in the oncology workforce pipeline come from published sources such as Journal of the American Medical Association. Incidence and prevalence estimates are published by the American Cancer Society and National Cancer Institute. RESULTS: The WIS reports a total of 13,084 oncologists working in the United States in 2011. Oncologists are defined as those physicians who designate hematology, hematology/oncology, or medical oncology as their specialty. The WIS compares the characteristics of these oncologists with those of all physicians and tracks emerging trends in the physician training pipeline. CONCLUSION: Observing characteristics of the oncologist workforce over time allows ASCO to identify, prioritize, and evaluate its workforce initiatives. Accessible figures and reports generated by the WIS can be used by ASCO and others in the oncology community to advocate for needed health care system and policy changes to help offset future workforce shortages.

Who does not receive treatment for cancer?

PURPOSE: Little has been published on nontreatment of cancer, yet the National Cancer Data Base (NCDB) indicates that 9.2% of patients receive no first course of treatment. Because the NCDB is limited to accredited cancer programs, there is potential for the actual rate to differ. We sought to understand the rate and characteristics of patients with cancer who receive no first course of treatment in a more population-representative data source. MATERIALS AND METHODS: The Iowa Cancer Registry (ICR) strives to capture 100% of newly diagnosed cancer cases among Iowa residents, regardless of where they are diagnosed or treated. RESULTS: In the ICR from 2004 to 2010, 12.3% of newly diagnosed patients with cancer did not receive a first course of treatment, which is 48% higher than the NCDB data for the state of Iowa (8.3%) during the same time period. Logistic regression indicated that nontreatment was more common in certain cancers (ie, small-cell and non-small-cell lung/bronchial cancers and low-grade non-Hodgkin lymphoma), advanced stages, older patients, those receiving treatment recommendations at nonaccredited cancer programs, and patients who never consulted an oncologist, radiation therapist, or surgeon. Distance to treatment facilities was not related to nontreatment. CONCLUSION: The rate of nontreatment varies by cancer type and stage and is higher in patients receiving initial treatment recommendations in nonaccredited cancer programs than in accredited cancer programs. This pattern seems to be correlated with patient characteristics but also may be related to provider and facility characteristics available to people locally that influence both patient and provider decision making.

Compound EGFR mutations and response to EGFR tyrosine kinase inhibitors.

BACKGROUND: Non-small-cell lung cancers (NSCLCs) containing EGFR mutations are exquisitely sensitive to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). This is the case of the most common EGFR mutations affecting exon 18 (G719X), 19 (inframe deletions), and 21 (L858R and L861Q). However, the frequency of compound (i.e., double or complex) EGFR mutations-where an EGFR TKI sensitizing or other mutation is identified together with a mutation of unknown clinical significance-and their pattern of response/resistance to EGFR TKIs are less well described. METHODS: We analyzed the EGFR mutation pattern of 79 cases of NSCLC harboring EGFR mutations and compiled the genotype-response data for patients with NSCLCs with compound EGFR mutations treated with EGFR TKIs. RESULTS: Of the 79 EGFR-mutated tumors identified, 11 (14%) had compound mutations. Most involved the EGFR TKI-sensitizing G719X (n = 3, plus S768I or E709A), L858R (n = 4, plus L747V, R776H, T790M, or A871G), L861Q (n = 1, plus E709V), and delL747_T751 (n = 1, plus R776H). Eight patients received an EGFR TKI: three cases with G719X plus another mutation had partial responses (PRs) to erlotinib; of three cases with L858R plus another mutation, two displayed PRs and one (with EGFR-L858R+A871G) progressive disease (PD) to erlotinib; one NSCLC with EGFR-L861Q+E709A and one with delL747_T751+R776S had PRs to EGFR TKIs. CONCLUSION: Compound EGFR mutations comprised 14% of all mutations identified during routine sequencing of exons 18-21 of EGFR in our cohort. Most patients with an EGFR TKI-sensitizing mutation (G719X, exon 19 deletion, L858R, and L861Q) in addition to an atypical mutation responded to EGFR TKIs. Reporting of the genotype-response pattern of NSCLCs with EGFR compound and other rare mutations, and the addition of this information to searchable databases, will be helpful to select the appropriate therapy for EGFR-mutated NSCLC.

Patterns of care for non-small-cell lung cancer at an academic institution affiliated with a national cancer institute-designated cancer center.

PURPOSE: Evidence-based treatment guidelines for non-small-cell lung cancer (NSCLC) exist to improve the quality of care for patients with this disease. However, how often evidence-based decisions are used for care of NSCLC is poorly understood. PATIENTS AND METHODS: We examined patterns of care and rate of adherence to evidence-based guidelines for 185 new NSCLC patients seen between 2007 and 2009. Evidence-based care status was determined for 150 patients. RESULTS: Eighty-one percent of the patients were white, the mean age was 66 years, 49% were women, 11% were never smokers, 83% had Eastern Cooperative Oncology Group performance status 0 to 1, 49.7% of tumors were adenocarcinomas, 57.1% of never smokers had tumors genotyped (EGFR, ALK, KRAS), and 13.3% participated in clinical trials. The rate of evidence-based treatment adherence was 94.1% (16 of 17), 100% (21 of 21) and 100% (36 of 36) in patients with stages I, II, and III NSCLC, respectively. Stage IV disease, with adherence of 76.3% (58 of 76), was correlated with a higher rate of nonadherence when compared with stages I-III (odds ratio 16.33; 95% CI, 1.94 to 137.73). In patients with stage IV disease, the rate of evidence-based adherence was 95% (72 of 76) for first-line therapy, 95.2% (40 of 42) for second-line therapy, and only 33.3% (6 of 18) for third-line therapy (P < .001). There was no significant correlation between evidence-based adherence status and the patient's age, sex, performance status, smoking history, ethnicity, or the treating physician. CONCLUSION: These data point toward the need for improved evidence-based use of resources in the third-line setting of stage IV NSCLC.

Case series of treatment approaches in fit nonagenarians with stage IV non-small-cell lung cancer.

An increasing number of nonagenarians are treated for non-small-cell lung cancer (NSCLC); however guidelines and case series describing the care of very elderly patients with advanced NSCLC are not available. Medical records of patients treated at Beth Israel Deaconess Medical Center between 2007 and 2009 who had NSCLC were reviewed, and those with stage IV NSCLC and age 90 or older were included in this case series. Three successive fit nonagenarians were identified out of the one hundred and one cases with stage IV NSCLC, and their clinical course was summarized. The first case depicts a conservative approach (best supportive care), while the later cases describe the use of platinum-based (carboplatin-pemetrexed) and anti-epidermal growth factor targeted therapies. This series illustrates the diversity of approaches now available and the evolving treatment paradigm as it applies to fit elderly with NSCLC, including nonagenarians. It also emphasizes the importance of considering performance status rather than biologic age when making treatment decisions.

Results of the ASCO Study of Collaborative Practice Arrangements.

PURPOSE: ASCO projects a shortfall of oncologists in the next decade. The study was designed to address the workforce shortage by exploring collaborative oncology practice models that include nonphysician practitioners (NPPs). METHODS: ASCO contracted with Oncology Metrics, a division of Altos Solutions, to conduct a national survey of NPP integration and identify collaborative practice models and services provided by NPPs, as the first phase of the ASCO Study of Collaborative Practice Arrangements. Results of the national survey were used to identify practices for the next phase, in which selected practices participated in a more detailed data survey and satisfaction surveys. Focus groups or interviews were conducted with NPPs to collect additional subjective information to inform the project. RESULTS: The incident-to practice model was the predominant model. Satisfaction was universally high for patients and generally high for physicians and NPPs. In virtually all cases (98%), patients recognized they were seeing an NPP rather than a physician. Practices in which the NPP worked with all practice physicians showed significantly higher productivity than those practices in which the NPP worked exclusively with a specific physician or group of physicians. CONCLUSION: The use of NPPs in oncology practices increases productivity for the practice and provides high physician and NPP satisfaction. Patients were aware when care was provided by an NPP and were very satisfied with all aspects of the collaborative care that they received. The integration of nonphysician practitioners into oncology practice offers a reliable means to address increased demand for oncology services without adding physicians.