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      <SupplementalInformationDetail>
        <FormAndLineReferenceDesc>Form 990, Part VI, Section B, Line 12c</FormAndLineReferenceDesc>
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        <ExplanationTxt>(Cont'd. from page 2) ALCMI's researchers are pooling their knowledge, specimens and data in order to improve the understanding of the molecular bases of lung cancer and to accelerate the development and delivery of much more effective, targeted drugs and treatments tailored to individual patient types. ALCMI has developed and launched a number of innovative research studies that would otherwise not have existed: 1) CASTLE: a prospective, longitudinal, multi-center study with serial biobanked advanced stage lung cancer specimens that are also annotated with clinical/molecular data. 2) INHERIT EGFR T790M: a prospective study on germline biology in high-risk families; to identify specific inherited genetic markers indicating risk of developing lung cancer, and 3) Genomics of Young Lung Cancer (GoYLC): a prospectively performed comprehensive genomic profiling to determine whether young lung cancers harbor a distinctive spectrum of genetic mutations, and therefore unique treatment strategies (peer-reviewed paper published in 2021, Journal of Thoracic Oncology). Other studies in progress are 1) Epidemiology of Young Lung Cancer (EoYLC): a remote decentralized survey study designed to identify lifestyle, environmental, and family/genetic risk factors associated with the development of lung cancer under the age of 50, and any possible connection to specific cancer-driving mutations. 2) SPACEWALK: a study to investigate the relationship between specific ALK resistance mutations and specific next generation ALK TKI therapies received before progression (peer-reviewed paper published in 2021, Journal of Thoracic Oncology). 3) BEACON-LUNG: a multicenter study collecting serum, plasma, tissue, and CT images from patients receiving pembrolizumab or pembrolizumab plus carboplatin-based chemotherapy to help identify patients who may benefit from a more aggressive triplet treatment regimen. This test utilizes mass spectrometry with machine learning and was developed by Biodesix, Inc. to classify patients as responders or non-responders, which could help identify patients who may benefit from a triplet treatment regimen. 4) ENIGMA+: a remote decentralized study collecting tissue and sputum specimens and clinical outcome data across patients diagnosed with ALK+ mutation NSCLC. 5) SPARK: a remote decentralized study collecting blood specimens and clinical outcome data across patients diagnosed with KRAS mutation NSCLC.</ExplanationTxt>
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