Abstract
Lung cancer is the most common cause of cancer mortality globally. A vast majority of lung cancer cases are diagnosed at advanced stages. Management of advanced lung cancer requires several diagnostic and therapeutic procedures provided by various specialists. To optimise the entire diagnostic and therapeutic process, a concept of care provided simultaneously by a multidisciplinary team (MDT) has been developed and implemented in specialised centres worldwide. Observational studies suggest that integrated and coordinated care increases adherence to clinical guidelines, significantly shortens the interval from diagnosis to treatment, and may increase survival and quality of life (QoL). Prospective studies are warranted to assess the real impact of MDT on treatment outcomes and to further refine this approach.
Keywords: Multidisciplinary care, lung cancer, diagnosis, treatment
Introduction
Lung cancer continues to be the leading cause of cancer mortality globally (1). Advanced lung cancer, not suitable for curative treatment approaches, accounts for 55% to 85% of all newly diagnosed cases (2-4). The development of targeted therapies and immunotherapy has revolutionised the paradigms of lung cancer treatment. However, treatment outcomes in advanced lung cancer remain poor, and virtually all patients succumb to their disease. Apart from increasing survival, the main objective of advanced lung cancer management is maintaining the quality of life (QoL) and prolonging time spent in acceptable health.
Multidisciplinary team (MDT) is a comprehensive group of professionals representing various disciplines who regularly meet to develop joint treatment decisions. MDT based management has been shown to increase survival in various advanced solid malignancies (5-9). The need of MDT care in lung cancer is due to the number of treatments employed: surgery, radiotherapy, chemotherapy, targeted therapy, immunotherapy, and palliative and critical care. Some of them can be combined or interwoven. Health professionals participating in lung cancer management include pneumonologists, thoracic surgeons, medical oncologists, radiation oncologists, pathologists, molecular pathology specialists, radiologists, nuclear medicine physicians, palliative care physicians, lung cancer nurses, psychologists and cancer care coordinators. Importantly, patients should be involved in decision-making.
Currently, in specialised cancer centres worldwide treatment recommendations in lung cancer are usually made by MDT. MDT meetings have been shown to increase national and international guideline adherence, and significantly shorten the interval from diagnosis to treatment (10). By virtue of MDT consultation, the treatment plan can be more optimised. MDT meetings may substantially reduce the time of patients' consultation, and improve the efficiency of diagnosis and treatment. The need of visiting subsequent departments by patients may be diminished, and treatment decisions are provided more promptly. There are some general rules of lung cancer MDT organisation, but they may differ between particular countries and centres. Most importantly, MDT management, by timely delivery of best evidence-based practice care, has been shown to improve patient overall survival (OS) and QoL, particularly in stage III and IV lung cancer (9,11-13).
Recently, ongoing expansion of medical literature decision-support tools (artificial intelligence, such as Watson for Oncology) have been invented to help oncologists in providing evidence-based care based on the most recent scientific publications (14). This methodology is also being tested in supporting lung cancer MDT decisions (15).
This article briefly presents the main opportunities and challenges of MDT in advanced lung cancer. However, it should not be considered a comprehensive review of this subject, as no formal evidence-based analysis has been attempted.
Referrals and diagnostic pathways
In advanced lung cancer an MDT meeting convened in the very beginning of the diagnostic process may better encompass the entire patient’s diagnostic and therapeutic path, and allow avoiding unnecessary and redundant procedures. The diagnostic work-up and treatment in advanced lung cancer depends on performance status (PS), tumour burden and tumour sites. The referral pathways differ between regions and countries. Typically, patients with suspicion of lung cancer are first seen by general practitioners who perform diagnostic imaging, usually a chest X-ray or CT. Patients may be referred for the MDT meeting after pathological diagnosis and staging have been established, or at early phase of the diagnostic process. The National Comprehensive Cancer Network and National Institute for Health and Care Excellence guidelines recommend that both the diagnostic process and the treatment of lung cancer should be discussed at MDT meetings (16,17), whereas a number of national guidelines recommend an MDT consultation in all patients right after the diagnosis and before commencing treatment (18). Until recently, the diagnosis of lung cancer was frequently based on cytological examination. In the era of personalised medicine, a histopathological diagnosis is necessary to establish tumour phenotype and provide material for molecular testing. An experienced interventional radiologist, pulmonologist or thoracic surgeon is generally able to obtain adequate tumour tissue with minimal risk for the patient, even in the case of hardly accessible lesions (19). MDT care is also instrumental in determining the type and sequence of staging procedures. Many lung cancer patients need positron emission with computed tomography (PET-CT) and brain magnetic resonance imaging (MRI) for staging assessment. However, in a proportion of advanced lung cancer patients, the high tumour metastatic burden is apparent at primary imaging including chest X-ray or CT and abdominal ultrasonography or CT. In such cases, further diagnostic imaging using PET-CT or MRI may unnecessarily increase costs and delays the start of treatment.
If a patient is referred for an MDT meeting with adequate diagnosis and staging, the decision can be made immediately. If further diagnostic work-up is needed, the institutional algorithm should be employed, and the referrals designed promptly to avoid unnecessary waiting and overloading the meeting. Another MDT meeting should be set only if the available data are insufficient for making an immediate decision.
Patient physical status
MDT treatment recommendations highly depend on patient’s physical status. The patient’s functional and general health status data presented to the MDT should be based on objective measures or validated assessment tools. The proper assessment of PS according to the Eastern Cooperative Oncology Group or Karnofsky scales is crucial for taking appropriate treatment decisions. Determining PS is necessary to distinguish fit from frail patients, and to predict whether the patient is fit enough to undergo the intended oncological treatment. A significant proportion of advanced lung cancer patients, even in good PS, finally do not receive or are unable to complete MDT designed treatment (20). PS assessed by clinicians may differ in about 20–30% of cases when tested against the patient’s perception of general health status, but clinicians’ assessment is not biased consistently towards either under‐ or overestimation (21). Interestingly, only patients’ PS assessment was found to correlate with the ability of completing the MDT designed treatment (P=0.007), which confirms the importance of patient reported data in final treatment decisions (21).
Another clinical factor which can predict outcomes in advanced lung cancer patients is sarcopenia (muscle mass depletion). This abnormality is present in about half of lung cancer patients and is associated with impaired OS. In the meta-analysis including 13 studies and 1,810 lung cancer patients, sarcopenia was associated with a shorter OS [hazard ratio (HR), 2.23; 95% CI, 1.68–2.94], in both non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) (22). This abnormality was an independent predictor of shorter OS in both stage I–II (HR, 3.23; 95% CI, 1.68–6.23) and stage III–IV NSCLC (HR, 2.19; 95% CI, 1.14–4.24) (22). Additional prognostic information may provide the muscle strength status and physical performance assessed by a short physical performance battery (SPPB) score. Better fitness, with quicker gait speeds, sit-to-stand times or a higher total SPPB score, were found to correlate with the ability to complete more cycles of chemotherapy or the whole planned treatment (P<0.05). A higher SPPB score was also associated with fewer adverse events, less need for hospitalisation and fewer chemotherapy delays (P=0.001). Patients in more advanced stages and with weight loss above 10% were more likely not to complete MDT recommended treatment (23).
Due to populations’ aging, particularly in the Western world, a substantial proportion of lung cancer patients are at an older age. Optimising decision-making in this, usually more frail population, is of particular importance. A recent Dutch study showed that only 39% of eligible advanced lung cancer patients aged above 75 years started chemotherapy, compared to 80% of the younger population (24). Treatment modifications were made in 49% and 66% of patients aged below and above 65 years, respectively. The unplanned hospital admissions during chemotherapy were most frequently required for patients aged 65–75 years, indicating that the frailty of this population may be underestimated (24).
Opposite to chemotherapy, elderly patients may have substantial benefit from immunotherapy (25). Hitherto, these patients have been under-represented in phase III randomised clinical trials investigating immune checkpoint inhibitors. However, the pooled data from four studies comparing inhibitors of programmed death 1 receptor (PD-1) or its ligand 1 (PD-L1) vs. docetaxel in the second line treatment of advanced NSCLC, confirmed the efficacy of immunotherapy irrespective of patient age, with lower treatment-related and severe adverse events rates in older patients (26). Notably, immune checkpoint inhibitor studies in advanced NSCLC included mostly PS 0–1 patients, therefore a potential benefit of these compounds in patients with poor PS remains not well recognised. A small retrospective study including poor PS lung cancer patients suggests no advantage of nivolumab compared to best supportive care (27).
Early introduction of pneumonological and palliative care intervention may improve the condition of patients and increase their treatment adherence (28). Since advanced lung cancer patients frequently present with multiple smoking-related comorbidities, many of them necessitate pneumonological intervention. This is particularly important in patients with accompanying chronic obstructive pulmonary disease. This entity strongly influences patient fitness, and its proper management may facilitate the institution of planned treatment (28,29). Particularly debilitating symptoms affecting advanced lung cancer patients are central airway obstruction (CAO) and malignant pleural effusion (MPE). Minimally invasive bronchoscopical interventions, such as stent implementation or intraluminal brachytherapy for CAO, and thoracentesis with or without pleurodesis for MPE, may substantially improve patients’ condition and make them suitable for further diagnostic and therapeutic procedures (30).
Early palliative care
As advanced lung cancer is generally incurable, with estimated median OS of less than 1 year (31), anticancer therapy should be supplemented by early palliative care. Patients should be aware of the limited treatment efficacy, and increased risk of early toxicity, including lethal events (32). The benefits and risks of planned treatment should be carefully evaluated at the MDT meeting. The majority of lung cancer patients suffer from various symptoms, including dyspnoea, chest pain, anorexia, fatigue and cough, therefore a palliative care specialist should be a part of MDT. Palliative care, including for example adequate analgesics, nutrition intervention or anabolics, provides an opportunity to relieve troublesome symptoms, and to improve QoL and PS (33,34). Addition of early palliative care to standard management in advanced NSCLC was also shown to prolong OS (35). The beneficial effect of early palliative care implementation in advanced lung cancer on both QoL and OS was confirmed in a pivotal phase III study (36). A recent Cochrane meta-analysis of five studies in various advanced malignancies, including one in NSCLC, demonstrated increased overall health-related QoL improvement and decreased symptom intensity, but no OS impact from early palliative care (37). However, the lack of an average OS benefit was most probably due to the large outcomes’ heterogeneity of particular studies, related to specific features of the studied malignancies and the variability of palliative care interventions (37). Indeed, of the four studies assessing the OS impact of early palliative care, three showed its benefit (36,38,39), and one demonstrated an adverse effect (40). However, the only negative study included mostly patients with recurrent cancers, whereas the above-mentioned phase III lung cancer trial (36) introduced palliative care within eight weeks from first cancer diagnosis, corresponding to the real definition of early intervention.
The European Society for Medical Oncology, The American Society of Clinical Oncology and many other international and national oncological societies recommend close cooperation between oncologists and palliative care physicians to earlier relieve disease symptoms, improve QoL, increase patients’ and caregivers’ satisfaction, optimise hospice referral, and reduce pointless emergency and intensive care (41-43).
Patients with early palliative support are more likely to receive systemic anticancer therapies and more lines of treatment (P=0.001). Early introduction of palliative care also allows for less hospitalisations in the last three months of life (38), and less chemotherapy administered near the end of life (in the last 14 or 30 days), without affecting OS (36,43). Finally, patients with early palliative care are also more likely to participate in clinical trials (P=0.014) (44).
Oligometastatic disease
Particular consideration should be given to patients with low oligometastatic disease. These patients account for 15–55% of all metastatic patients from different primaries (45-48). These patients represent a considerable proportion of all patients subjected to MDT decisions. Lung cancer patients with low metastatic burdens represent a highly specific population, and some of them may be amenable for locoregional, potentially curative therapies (49,50). For example, in the Galata et al. study (45) MDT recommended local therapy in 64.5% of oligometastatic lung cancer patients. However, owing to the lack of oligometastatic disease definition, selection of patients amenable to local approaches is still subjective. Recently, the European clinicians defined the oligometastatic lung cancer as a maximum of five lesions in up to three organs (51). The same criteria have been proposed by the pan-European Multidisciplinary Consensus Group (52). This consensus does not consider mediastinal lymph node as a metastatic site, and recommends the staging including obligatory fludeoxyglucose F 18 positron emission tomography-computed tomography and brain imaging. The Group also recommends biopsy of a solitary metastatic location unless the MDT is of the opinion that the risks outweigh the benefits.
The clinical evidence regarding the management of these patients is limited. The first phase II randomised trial comparing local ablative treatment vs. standard care after front-line systemic therapy in oligometastatic NSCLC showed a significantly longer median progression-free survival in the intervention group (53). In a recent retrospective study oligometastatic disease defined as up to three synchronous metastases, was identified in 74% of all stage IV NSCLC patients, 62% of whom received local consolidative therapy to all metastatic sites (54). Local therapy was independently associated with improved OS, particularly among patients without thoracic nodal disease or bone metastases, and with more than one metastatic site (54). In another retrospective study, OS benefit from the addition of local therapy was confined to T1–2, N0–1 squamous cell carcinoma patients with one metastasis (HR, 0.68; 95% CI, 0.57–0.80; P<0.001), whereas those with adenocarcinoma, T3–T4, N2-N3 and two or more metastases showed inferior OS compared to systemic therapy alone (55).
Brain metastases
MDT treatment recommendations may be of particular relevance in patients with brain metastases. Brain involvement at diagnosis is present in about 25% of advanced NSCLC patients and is the most common oligometastatic site (56). This tumour location carries a particularly poor prognosis and necessitates specific management. Solitary brain metastases are usually approached by neurosurgery or radiosurgery. New radiotherapy techniques (stereotactic radiotherapy, radiosurgery) allow for the treatment of inoperable oligometastatic lesions and increase local control after resection (57). Adequate local management of solitary brain metastases significantly improves OS and QoL. In oncogene driven NSCLCs, particularly ALK-rearranged or EGFR-mutant cancers, new potent CNS penetrating tyrosine kinase inhibitors may constitute the primary treatment (58). This strategy is recommended in asymptomatic patients with disseminated lesions, as it allows deferring whole-brain radiation-therapy with its detrimental side-effects.
Molecular testing
Proper diagnostic pathway recommended by MDT may increase treatment efficacy by virtue of its tailoring to individual patient. Targeted therapy is the treatment of choice for tumours harbouring actionable molecular alterations. Consequently, tumour genetic testing is currently considered a mandatory procedure at the diagnosis of advanced NSCLC (59). Molecular assessment is recommended in all non-squamous NSCLCs, particularly in adenocarcinomas, as well as in patients at a young age, with no or light smoking history (60). The optimal sequence of molecular tests depends on various clinical factors and the time needed for obtaining the results (61). Use of next generation sequencing platforms enables simultaneous detection of multiple targets and alteration types, but its cost-effectiveness remains an issue (62).
The quick diagnostic work-up is of particular importance in subpopulations of patients prone to rapid deterioration. For example, clinical presentation with pericardial or pleural effusion and brain metastases is frequent in patients with ALK-rearranged lung cancer (63). Specific clinical and imaging features of these patients help in their selection for molecular testing (64). Patients with rare driver mutations may be subjected to numerous clinical trials investigating new molecules. The participation in a clinical trial should be considered at early phases of the diagnostic process, to avoid discouraging patients due to treatment delay. An attractive option of molecular profiling is a liquid biopsy. This procedure is particularly useful in patients with scarce tumour tissue and in those with contraindications for invasive diagnostics (65).
Effectiveness of MDT
Most national and international guidelines recommend MDT based management of lung cancer, and this approach is currently widely implemented. However, the evidence of its efficacy in advanced lung cancer is scarce. In the majority of published lung cancer series, the number of patients with advanced disease and poor PS presented to MDT has been relatively low. No randomised studies have been performed to investigate the impact of MDT care on OS and QoL, and the results of retrospective series are inconsistent. In the Boxer et al.’s study (66) including 70% stage III and IV lung cancers, MDT care allowed for the delivery of more treatment but did not improve OS. In turn, other studies showed improved OS in NSCLC patients managed with MDT care (67-69). For example, in a retrospective study from Texas including 70% of advanced lung cancer cases, MDT decisions increased the median OS and progression-free survival by 8 and 5 months, respectively (69). In another retrospective series including various lung cancer stages, 5-year OS rates were higher among patients managed by MDT in the entire study group (P<0.001), in stage III (19.3% vs. 9%, P<0.001) and stage IV (7.1% vs. 3.1%, P<0.001) (11). In the Taiwanese study OS in stage III and IV patients managed with MDT was significantly longer compared to non-MDT managed patients (adjusted HR 0.87, 95% CI, 0.84–0.90) (11). In the Australian single-institution retrospective study, MDT management resulted in improved 1-, 2- and 5-year OS rates among advanced lung cancer patients (13).
Even though OS was not improved in some studies, MDT meetings resulted in better uptake of the intended treatment (66), and in better scoring of stage and PS (10,13,66).
Quality of MDT
MDT care requires strict guidelines including frequency of meetings, staff requirements, data collection, documentation and description of care coordination, and communication between healthcare professionals and patients. The quality of MDT necessitates regular assessment. All MDT decisions should be collected and their accuracy monitored. The diagnostic and treatment plan developed by MDT should be circulated to team members and presented to the patient. The reasons for not following MDT decisions should be recognised. Some patients do not follow these decisions due to insurance and social issues. Other reasons can be deterioration of patient general health, comorbidities and treatment toxicity. These situations should be captured and subjected to analysis. Assessment should also include time to final diagnosis and staging, time to MDT presentation, and time to starting treatment. Quality of data presented at the MDT meeting should be assessed, areas for improvement identified and corrective measures implemented. Quality of MDT decision‐making is dependent on the quality of diagnostic radiology and pathology, accurate data collection, documentation of consensus and the decision‐making process, and effective communication between patients and healthcare providers (70).
A good indicator of the care efficacy are failure rates to achieve prompt MDT treatment decisions. In a Swedish study including various malignancies, the main causes of delayed MDT treatment decisions were the need for further investigations and insufficient pathology (71). In retrospective studies up to 16% of patients failed the MDT treatment recommendations, mainly due to deterioration of PS or the patient’s decision (72,73).
Conclusions
The majority of lung cancers are diagnosed in advanced, incurable stages, resulting in generally poor treatment outcomes. New treatment modalities and novel agents have increased survival in selected lung cancer populations, but there is still a sore need for further improvements. MDT care allows for better and prompter designing of the patient’s diagnostic and therapeutic path. Owing to the complexity of the diagnostic process and the high prevalence of patients with poor PS, comorbidities and disease-related symptoms, MDT care should be implemented early to allow for the introduction of adequate diagnostic and staging procedures, molecular tests and specialist care. Coordinated diagnostics avoids unnecessary and redundant procedures, thus decreasing its costs. Proper assessment of PS and the early implementation of coordinated management including palliative care may increase adherence to MDT recommendations. The quality of MDT has to be monitored to achieve further improvement.
The value of MDT care in advanced lung cancer and its clinical effectiveness are generally based on observational studies. The assessment of the real impact of MDT care on treatment outcomes is difficult due to parallel implementation of new effective therapies, such as tyrosine-kinase inhibitors or immune checkpoint inhibitors. Future prospective studies are warranted to elucidate these questions and to optimise MDT care in this particularly demanding population of patients.
Supplementary
Acknowledgments
Funding: None.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Footnotes
Provenance and Peer Review: This article was commissioned by the Guest Editor (Emily Stone) for the series “Lung Cancer Multidisciplinary Care” published in Translational Lung Cancer Research. The article was sent for external peer review organized by the Guest Editor and the editorial office.
Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tlcr.2019.11.33). The series “Lung Cancer Multidisciplinary Care” was commissioned by the editorial office without any funding or sponsorship. JJ reports personal fees from AstraZeneca, personal fees and non-financial support from Roche, personal fees and non-financial support from Pfizer, personal fees from BMS, personal fees from MSD, personal fees from Takeda, outside the submitted work; The authors have no other conflicts of interest to declare.
References
- 1.Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68:394-424. 10.3322/caac.21492 [DOI] [PubMed] [Google Scholar]
- 2.Walters S, Maringe C, Coleman MP, et al. ICBP Module 1 Working Group. Lung cancer survival and stage at diagnosis in Australia, Canada, Denmark, Norway, Sweden and the UK: a population-based study, 2004-2007. Thorax 2013;68:551-64. 10.1136/thoraxjnl-2012-202297 [DOI] [PubMed] [Google Scholar]
- 3.Molina JR, Yang P, Cassivi SD, et al. Non-Small Cell Lung Cancer: Epidemiology, Risk Factors, Treatment, and Survivorship. Mayo Clin Proc 2008;83:584-94. 10.1016/S0025-6196(11)60735-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Prades J, Remue E, van Hoof E, et al. Is it worth reorganising cancer services on the basis of multidisciplinary teams (MDTs)? A systematic review of the objectives and organisation of MDTs and their impact on patient outcomes. Health Policy 2015;119:464-74. 10.1016/j.healthpol.2014.09.006 [DOI] [PubMed] [Google Scholar]
- 5.Chen CH, Hsieh MC, Lao WT, et al. Multidisciplinary team intervention associated with improved survival for patients with colorectal adenocarcinoma with liver or lung metastasis. Am J Cancer Res 2018;8:1887-98. [PMC free article] [PubMed] [Google Scholar]
- 6.Kesson EM, Allardice GM, George WD, et al. Effects of multidisciplinary team working on breast cancer survival: retrospective, comparative, interventional cohort study of 13 722 women. BMJ 2012;344:e2718. 10.1136/bmj.e2718 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Friedland PL, Bozic B, et al. Impact of multidisciplinary team management in head and neck cancer patients. Br J Cancer 2011;104:1246-8. 10.1038/bjc.2011.92 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bydder S, Nowak A, Marion K, at al. The impact of case discussion at a multidisciplinary team meeting on the treatment and survival of patients with inoperable non‐small cell lung cancer. Intern Med J 2009;39:838-41. 10.1111/j.1445-5994.2009.02019.x [DOI] [PubMed] [Google Scholar]
- 9.Freeman RK, Van Woerkom JM, Vyverberg A, et al. The effect of a multidisciplinary thoracic malignancy conference on the treatment of patients with lung cancer. Eur J Cardiothorac Surg 2010;38:1-5. 10.1016/j.ejcts.2010.01.051 [DOI] [PubMed] [Google Scholar]
- 10.Bilfinger TV, Albano D, Perwaiz M, et al. Survival outcomes among lung cancer patients treated using a multidisciplinary team approach. Clin Lung Cancer 2018;19:346-51. 10.1016/j.cllc.2018.01.006 [DOI] [PubMed] [Google Scholar]
- 11.Pan CC, Kung PT, Wang YH, at al. Effects of multidisciplinary team care on the survival of patients with different stages of non-small cell lung cancer: a national cohort study. PLoS One 2015;10:e0126547. 10.1371/journal.pone.0126547 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dunican E, Uzbeck M, Clince J, et al. Outcomes of patients presenting to a dedicated rapid access lung cancer clinic. Ir Med J 2011;104:265-8. [PubMed] [Google Scholar]
- 13.Stone E, Rankin N, Kerr S, et al. Does presentation at multidisciplinary team meetings improve lung cancer survival? Findings from a consecutive cohort study. Lung Cancer 2018;124:199-204. 10.1016/j.lungcan.2018.07.032 [DOI] [PubMed] [Google Scholar]
- 14.Keikes L, Medlock S, van de Berg DJ, et al. The first steps in the evaluation of a "black-box" decision support tool: a protocol and feasibility study for the evaluation of Watson for Oncology. J Clin Transl Res 2018;3:411-23. [PMC free article] [PubMed] [Google Scholar]
- 15.Liu C, Liu X, Wu F, et al. Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study. J Med Internet Res 2018;20:e11087. 10.2196/11087 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.NCCN Guidelines; Version 7.2019. Available online: https://www.nccn.org/professionals/physician_gls/recently_updated.aspx
- 17.Guidelines NICE. Available online: https://www.nice.org.uk/
- 18.Liu H, Song Y. MDT is still important in the treatment of early stage lung cancer. J Thorac Dis 2018;10:S3984-5. 10.21037/jtd.2018.09.121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Huang MD, Weng HH, Hsu SL, et al. Accuracy and complications of CT-guided pulmonary core biopsy in small nodules: a single-center experience. Cancer Imaging 2019;19:51. 10.1186/s40644-019-0240-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Brule SY, Al-Baimani K, Jonker H, et al. Palliative systemic therapy for advanced non-small cell lung cancer: Investigating disparities between patients who are treated versus those who are not. Lung Cancer 2016;97:15-21. 10.1016/j.lungcan.2016.04.007 [DOI] [PubMed] [Google Scholar]
- 21.Collins JT, Noble S, Davies HE, et al. Performance status agreement assessed by the patient and clinician in a rapid access lung cancer service: Can either predict completion of treatment? Eur J Cancer Care (Engl) 2019;28:e13004. 10.1111/ecc.13004 [DOI] [PubMed] [Google Scholar]
- 22.Yang M, Shen Y, Tan L, et al. Prognostic Value of Sarcopenia in Lung Cancer: A Systematic Review and Meta-analysis. Chest 2019;156:101-11. 10.1016/j.chest.2019.04.115 [DOI] [PubMed] [Google Scholar]
- 23.Collins JT, Noble S, Chester J, et al. The value of physical performance measurements alongside assessment of sarcopenia in predicting receipt and completion of planned treatment in non-small cell lung cancer: an observational exploratory study. Support Care Cancer. 2018;26:119-27. 10.1007/s00520-017-3821-6 [DOI] [PubMed] [Google Scholar]
- 24.Schulkes KJG, Hamaker ME, Lammers JJ, et al. Multidisciplinary decision-making regarding chemotherapy for lung cancer patients-an age-based comparison. Eur J Cancer Care (Engl) 2018;27:12768. 10.1111/ecc.12768 [DOI] [PubMed] [Google Scholar]
- 25.Hong H, Wang Q, Li J, et al. Aging, Cancer and Immunity. J Cancer 2019;10:3021-7. 10.7150/jca.30723 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Marur S, Singh H, Mishra-Kalyani P. FDA analyses of survival in older adults with metastatic non-small cell lung cancer in controlled trials of PD-1/PD-L1 blocking antibodies. Semin Oncol 2018;45:220-5. 10.1053/j.seminoncol.2018.08.007 [DOI] [PubMed] [Google Scholar]
- 27.Katsura H, Suga Y, Araya T, et al. Efficacy and Safety of Nivolumab in Patients with Advanced Non-small-cell Lung Cancer and Poor Performance Status. J Cancer 2019;10:2139-44. 10.7150/jca.31217 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Prabhakar CN, Fong KM, Peake MD, et al. The effectiveness of lung cancer MDT and the role of respiratory physicians. Respirology 2015;20:884-8. 10.1111/resp.12520 [DOI] [PubMed] [Google Scholar]
- 29.Gaga M, Powell CA, Schraufnagel DE, et al. An official American Thoracic Society/European Respiratory Society statement: the role of the pulmonologist in the diagnosis and management of lung cancer. Am J Respir Crit Care Med 2013;188:503-7. 10.1164/rccm.201307-1269ST [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mallow C, Hayes M, Semaan R, et al. Minimally invasive palliative interventions in advanced lung cancer. Expert Rev Respir Med 2018;12:605-14. 10.1080/17476348.2018.1486709 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Simmons CP, Koinis F, Fallon MT, et al. Prognosis in advanced lung cancer - a prospective study examining key clinicopathological factors. Lung Cancer. 2015;88:304-9. 10.1016/j.lungcan.2015.03.020 [DOI] [PubMed] [Google Scholar]
- 32.Gibson AJW, Li H, D'Silva A, at al. Factors associated with early mortality in non-small cell lung cancer patients following systemic anti-cancer therapy: A 10 year population-based study. Lung Cancer 2019;134:141-6. 10.1016/j.lungcan.2019.06.003 [DOI] [PubMed] [Google Scholar]
- 33.Kapo JM, Akgün KM. Integrating palliative care into the care of patients with advanced lung cancer. Cancer J 2015;21:434-9. 10.1097/PPO.0000000000000149 [DOI] [PubMed] [Google Scholar]
- 34.Phillips I, Hug A, Allan L, et al. Dietetic assessment and intervention in lung cancer. Curr Opin Support Palliat Care 2019;13:311-5. 10.1097/SPC.0000000000000453 [DOI] [PubMed] [Google Scholar]
- 35.Ambroggi M, Biasini C, Toscani I, et al. Can early palliative care with anticancer treatment improve overall survival and patient-related outcomes in advanced lung cancer patients? A review of the literature. Support Care Cancer 2018;26:2945-53. 10.1007/s00520-018-4184-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Temel JS, Greer JA, Muzikansky A, et al. Early palliative care for patients with metastatic non-small-cell lung cancer. N Engl J Med 2010;363:733-42. 10.1056/NEJMoa1000678 [DOI] [PubMed] [Google Scholar]
- 37.Haun MW, Estel S, Rücker G, et al. Early palliative care for adults with advanced cancer. Cochrane Database Syst Rev 2017;6:CD011129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Bakitas M, Lyons KD, Hegel MT, et al. Effects of a palliative care intervention on clinical outcomes in patients with advanced cancer: the Project ENABLE II randomized controlled trial. JAMA 2009;302:741-9. 10.1001/jama.2009.1198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Bakitas MA, Tosteson TD, Li Z, et al. Early versus delayed initiation of concurrent palliative oncology care: patient outcomes in the ENABLE III randomized controlled trial. J Clin Oncol 2015;33:1438-45. 10.1200/JCO.2014.58.6362 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Tattersall MHN, Martin A, Devine R, et al. Early contact with palliative care services: a randomized trial in patients with newly detected incurable metastatic cancer. J Palliat Care Med 2014;4:170. 10.4172/2165-7386.1000170 [DOI] [Google Scholar]
- 41.Ferrell BR, Temel JS, Temin S, et al. Integration of palliative care into standard oncology care: American Society of Clinical Oncology Clinical Practice Guideline update. J Clin Oncol 2017;35:96-112. 10.1200/JCO.2016.70.1474 [DOI] [PubMed] [Google Scholar]
- 42.Jordan K, Aapro M, Kaasa S, et al. European Society for Medical Oncology (ESMO) position paper on supportive and palliative care. Ann Oncol 2018;29:36-43. 10.1093/annonc/mdx757 [DOI] [PubMed] [Google Scholar]
- 43.Nieder C, Tollåli T, Haukland E, et al. Impact of early palliative interventions on the outcomes of care for patients with non-small cell lung cancer. Support Care Cancer 2016; 24:4385-91. 10.1007/s00520-016-3278-z [DOI] [PubMed] [Google Scholar]
- 44.King JD, Eikhoff J, Traynor A, et al. Integrated onco-palliative care associated with prolonged survival compared to standard care for patients with advanced lung cancer: a retrospective review. J Pain Symptom Manage 2016;51:1027-32. 10.1016/j.jpainsymman.2016.01.003 [DOI] [PubMed] [Google Scholar]
- 45.Galata C, Wimmer E, Kasper B, et al. Multidisciplinary tumor board recommendations for oligometastatic malignancies: A prospective single-center analysis. Oncol Res Treat 2019;42:87-94. 10.1159/000495474 [DOI] [PubMed] [Google Scholar]
- 46.Yano T, Okamoto T, Haro A, et al. Local treatment of oligometastatic recurrence in patients with resected non-small cell lung cancer. Lung Cancer 2013;82:431-5. 10.1016/j.lungcan.2013.08.006 [DOI] [PubMed] [Google Scholar]
- 47.Parikh RB, Cronin AM, Kozono DE, et al. Definitive primary therapy in patients presenting with oligometastatic non-small cell lung cancer. Int J Radiat Oncol Biol Phys 2014;89:880-7. 10.1016/j.ijrobp.2014.04.007 [DOI] [PubMed] [Google Scholar]
- 48.Manfredi S, Lepage C, Hatem C, et al. Epidemiology and management of liver metastases from colorectal cancer. Ann Surg 2006;244:254-9. 10.1097/01.sla.0000217629.94941.cf [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Downey RJ, Ng KK. The management of non-small-cell lung cancer with oligometastases. Chest Surg Clin N Am 2001;11:121-32. [PubMed] [Google Scholar]
- 50.Mehta N, Mauer AM, Hellman S, et al. Analysis of further disease progression in metastatic non-small cell lung cancer: implications for locoregional treatment. Int J Oncol 2004;25:1677-83. [PubMed] [Google Scholar]
- 51.David EA, Clark JM, Cooke DT, et al. The role of thoracic surgery in the therapeutic management of metastatic non-small cell lung cancer. J Thorac Oncol 2017;12:1636-45. 10.1016/j.jtho.2017.08.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Dingemans AC, Hendriks LEL, Berghmans T, et al. Definition of synchronous oligo-metastatic non-small cell lung cancer - a consensus report. J Thorac Oncol 2019:14:2109-19. 10.1016/j.jtho.2019.07.025 [DOI] [PubMed] [Google Scholar]
- 53.Gomez DR, Blumenschein GR, Lee JJ, et al. Local consolidative therapy versus maintenance therapy or observation for patients with oligometastatic non-small-cell lung cancer without progression after first-line systemic therapy: a multicentre, randomised, controlled, phase 2 study. Lancet Oncol 2016;17:1672-82. 10.1016/S1470-2045(16)30532-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Mitchell KG, Farooqi A, Ludmir EB, et al. Improved overall survival with comprehensive local consolidative therapy in Synchronous Oligometastatic Non-Small-Cell Lung Cancer. Clin Lung Cancer 2020;21:37-46.e7. 10.1016/j.cllc.2019.07.007 [DOI] [PubMed] [Google Scholar]
- 55.Uhlig J, Case MD, Blasberg JD, et al. Comparison of survival rates after a combination of local treatment and systemic therapy vs systemic therapy alone for treatment of stage IV non-small cell lung cancer. JAMA Netw Open 2019;2:e199702. 10.1001/jamanetworkopen.2019.9702 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Wang BX, Ou W, Mao XY, et al. Impacts of EGFR mutation and EGFR-TKIs on incidence of brain metastases in advanced non-squamous NSCLC. Clin Neurol Neurosurg 2017;160:96-100. 10.1016/j.clineuro.2017.06.022 [DOI] [PubMed] [Google Scholar]
- 57.Brown PD, Ballman KV, Cerhan JH, et al. Postoperative stereotactic radiosurgery compared with whole brain radiotherapy for resected metastatic brain disease (NCCTG N107C/CEC. 3): a multicentre, randomised, controlled, phase 3 trial. Lancet Oncol 2017;18:1049-60. 10.1016/S1470-2045(17)30441-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Wrona A, Dziadziuszko R, Jassem J. Management of brain metastases in non-small cell lung cancer in the era of tyrosine kinase inhibitors. Cancer Treat Rev 2018;71:59-67. 10.1016/j.ctrv.2018.10.011 [DOI] [PubMed] [Google Scholar]
- 59.Lindeman NI, Cagle PT, Aisner DL, et al. Updated molecular testing guideline for the selection of lung cancer patients for treatment with targeted tyrosine kinase inhibitors: Guideline from the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology. Arch Pathol Lab Med 2018;142:321-46. 10.5858/arpa.2017-0388-CP [DOI] [PubMed] [Google Scholar]
- 60.Hirsch FR, Scagliotti GV, Mulshine JL, et al. Lung cancer: current therapies and new targeted treatments. Lancet 2017;389:299-311. 10.1016/S0140-6736(16)30958-8 [DOI] [PubMed] [Google Scholar]
- 61.Gregg JP, Li T, Yoneda KY. Molecular testing strategies in non-small cell lung cancer: optimizing the diagnostic journey. Transl Lung Cancer Res 2019;8:286-301. 10.21037/tlcr.2019.04.14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Presley CJ, Tang D, Soulos PR, et al. Association of broad-based genomic sequencing with survival among patients with advanced non-small cell lung cancer in the community oncology setting. JAMA 2018;320:469-77. 10.1001/jama.2018.9824 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Gupta R, Amanam I, Rahmanuddin S, et al. Anaplastic lymphoma kinase (ALK)-positive tumors: Clinical, radiographic and molecular profiles, and uncommon sites of metastases in patients with lung adenocarcinoma. Am J Clin Oncol 2019;42:337-44. 10.1097/COC.0000000000000508 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Mendoza DP, Stowell J, Muzikansky A, et al. Computed tomography imaging characteristics of non-small-cell lung cancer with anaplastic lymphoma kinase rearrangements: A systematic review and meta-analysis. Clin Lung Cancer 2019;20:339-49. 10.1016/j.cllc.2019.05.006 [DOI] [PubMed] [Google Scholar]
- 65.Rolfo C, Mack PC, Scagliotti GV, et al. Liquid biopsy for advanced non-small cell lung cancer (NSCLC): A Statement Paper from the IASLC. J Thorac Oncol 2018;13:1248-68. 10.1016/j.jtho.2018.05.030 [DOI] [PubMed] [Google Scholar]
- 66.Boxer MM, Vinod SK, Shafiq J, et al. Do multidisciplinary team meetings make a difference in the management of lung cancer? Cancer 2011;117:5112-20. 10.1002/cncr.26149 [DOI] [PubMed] [Google Scholar]
- 67.Forrest LM, McMillan DC, McArdle CS, et al. An evaluation of the impact of a multidisciplinary team, in a single centre, on treatment and survival in patients with inoperable non-small-cell lung cancer. Br J Cancer 2005;93:977-8. 10.1038/sj.bjc.6602825 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Ellis PM. The importance of multidisciplinary team management of patients with non-small-cell lung cancer. Current Oncology (Toronto, Ont). 2012;19:S7-15. 10.3747/co.19.1069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Osarogiagbon RU, Phelps G, McFarlane J, et al. Causes and consequences of deviation from multidisciplinary care in thoracic oncology. J. Thorac Oncol 2011;6:510-6. 10.1097/JTO.0b013e31820b88a7 [DOI] [PubMed] [Google Scholar]
- 70.Powell HA, Baldwin DR. Multidisciplinary team management in thoracic oncology: more than just a concept? Eur Respir J 2014;43:1776-86. 10.1183/09031936.00150813 [DOI] [PubMed] [Google Scholar]
- 71.Rosell L, Alexandersson N, Hagberg O, et al. Benefits, barriers and opinions on multidisciplinary team meetings: a survey in Swedish cancer care BMC Health Serv Res 2018;18:249. 10.1186/s12913-018-2990-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Leo F, Venissac N, Poudenx M, et al. Multidisciplinary management of lung cancer: how to test its efficacy? J Thorac Oncol 2007;2:69-72. 10.1097/JTO.0b013e31802bff56 [DOI] [PubMed] [Google Scholar]
- 73.Storrar W, Laws D. Effectiveness of decision making at lung cancer multidisciplinary team meetings. Lung Cancer 2011;71:S20. 10.1016/S0169-5002(11)70057-5 [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.