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imatinib-query.rkt
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imatinib-query.rkt
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#lang racket
;; We are using Racket as our base language.
;; Load the mediKanren logic engine, and the Racket-formatted version
;; of a lightly curated and lightly normalized version of the SemMedDB
;; knowledge base.
(require
"mk-db.rkt"
"concept.rkt"
"edge.rkt"
)
(displayln
"Finished loading mk-db.rkt.")
;; We are going to write a query that tries to find a disease 'Ds'
;; that a given drug 'Dg' might treat, but for which SemMedDB doesn't
;; contain a direct TREATS edge between 'Dg' and 'Ds'. That is, we
;; are trying to find "surprising" drug/disease links that might be
;; worth further exploration.
;;
;; THE BIGGER PROBLEM
;;
;; One important question this example query is meant to explore is
;; whether we can avoid the combinatorial, exponential explosion of
;; possible paths between the given drug 'Dg' and the "unknown"
;; disease 'Ds'. SemMedDB has millions of edges, 25,000 diseases,
;; thousands of drugs, etc. If we are naive, we can easily end
;; generating millions of paths between the given drug 'Dg' and the
;; tens of thousands of unknown diseases. We might think of this as
;; the "Six Degrees of Kevin Bacon" problem
;; (https://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon): from
;; any disease there may be thousands, or even hundreds of thousands,
;; of indirect paths bewteen that drug and and specific disease. Not
;; only does this phenomenon lead to computationally intractable
;; problems, it also can overwhelm the human user with far too many
;; answers to consider in a lifetime, most of which are of extremely
;; dubious quality. For example, there are over 180,000 (relatively
;; short!) paths just between imatinib and asthma in SemMedDB.
;;
;; To avoid this problem, we are going to try to be clever, in
;; multiple dimensions. We are going to use various forms of
;; reasoning, including trying to explore connections between
;; concepts, exploring more specific drugs before exploring classes of
;; drugs, throwing out "degenrate" answers like 'Disease' that are so
;; general they are guaranteed to lead to exponential explosion, and
;; any other techniques that seem likely to avoid combinatorial
;; explosion in a wide class of queries, without being so aggressive
;; that useful answers are throw out.
;;
;; Philosophically, this is similar to how a chess engine like
;; Stockfish works (https://en.wikipedia.org/wiki/Stockfish_(chess)).
;; Even though the average branching factor in chess is around 35, the
;; best engines use heuristics to reduce the *effective* branching
;; factor to under 2. That is, when trying to decide on the next move
;; to play, in a chess position with 35 possible moves, most of the
;; time Stockfish will consider only the most promising one or two
;; moves. This allows Stockfish to efficiently search much deeper
;; than chess engines that consider all 35 moves in detail.
;;
;; In this example we try to explore a few possible heuristics that
;; might let us avoid a high average branching factor, by avoiding
;; paths that semantically don't make sense, avoiding degenerate
;; entities like 'Disease', trying more specific variants of a class
;; of drugs first to reduce the branching factor, etc.
;;
;;
;; THE QUERY
;;
;; By the very nature of our specific query (trying to find surprising
;; candidate diseases that might be treated by a given drug), we know
;; that SemMedDB will not contain the edge:
;;
;; Dg TREATS Ds
;;
;; (In fact, we will *insist* that such an edge doesn't exist, for Ds
;; to be considered a valid answer.) So instead of looking for a
;; direct TREATS edge, we will try a more nuanced query:
;;
;; Find an "unknown" disease 'Ds' that is not known to be directly treated by the
;; given drug 'Dg', where there exists a gene 'Gn', a "known" disease
;; 'Ds_k', a cell function 'Cf' such that:
;;
;; The given drug Dg directly INHIBITS some gene Gn, *and*
;; the inhibited gene Gn directly CAUSES some "known" disease Ds_k, *and*
;; the given drug Dg directly TREATS the "known" disease Ds_k, *and*
;; the inhibited gene Gn directly CAUSES some cell function Cf, *and*
;; the cell function Cf directly AFFECTS some "unknown" disease Ds, *and*
;; the given drug Dg does *not* directly TREATS the "unknown" disease Ds, *and*
;; the "unknown" disease Ds directly is a MANIFESTATION_OF the cell function Cf.
;;
;; Upper-case verbs, such as INHIBITS and TREATS, are SemMedDB edge
;; "predicates". Only the drug 'Dg' is given ("ground" in logic
;; programming terminology) in the query above. All other entities
;; ('Gn', 'Ds_k', '', etc.) are unknown ("fresh" or "non-ground" in
;; logic programming terminology). Even the "known" disease 'Ds_k'
;; starts out unknown. 'Ds_k' is a "known" disease only in the sense
;; that SemMedDB contains a direct TREATS edge between the given drug
;; 'Dg' and 'Ds_k'--we must discover that edge, and the disease
;; 'Ds_k', during the query.
;;
;; By parameterizing over the given drug 'Dg', we can turn this
;; specific query about imatinic into a more general "query schema"
;; that can be made to work for any drug.
;;
;; Part of the domain knowledge of a human user is encoded in the
;; *structure* of the query itself. This structure includes:
;;
;; * which entities are connected to each other;
;;
;; * the exact predicates chosen ('CAUSES' is a "stronger", or more
;; specific, predicate than 'AFFECTS', which is stronger than
;; 'ASSOCIATED_WITH'),
;;
;; * the exact SemMedDB semantic types chosen--diseases of interest
;; may or may not include neoplasms (semantic type 'neop'), for
;; example.
;;
;;
;; THE FIGURES
;;
;; We found it helpful to ourselves, to keep everything straight, to
;; draw by hand several figures showing the simple/naive query, and
;; a more sophisticated version that involves reasoning and heuristics.
;;
;; The overview of a naive version of the query can be found at the top of
;;
;; imatinib_simple.jpg
;;
;; This is really only part of a naive query, showing the path we hope
;; to find connecting imatinib to asthma via the KIT gene and mast
;; cell activation. Since there are over 180,000 relatively short
;; paths paths between imatinib and asthma, this path can be difficult
;; to find, even if you already knew to look for the connection to
;; asthma. If you didn't know which of the 25,000 diseases in
;; SemMedDB might be connected to imatinib, this query would be very
;; difficult indeed.
;;
;; In the same file is an abstracted version of the query, showing the
;; abstract categories and connections we are interested in. In this
;; case, we have also abstracted over the drug of interest: since none
;; of the entities are ground/concrete, this is a query schema that
;; could be applied to any drug. Of course, it is unlikely to give
;; useful answers without significant human intervention to help prune
;; bogus and boring answers.
;;
;; A more sophisticated version of the query can be found in
;;
;; imatinib_less_naive.jpg
;;
;; This figure shows branching factors we encountered when building up
;; the query by hand, while using various sorts of reasoning and
;; heuristics. Unlike the naive queries, these sub-queries were
;; executed on a laptop within a few seconds to a few minutes, with
;; relatively small numbers of interesting answers produced at the end
;; (~111 diseases to consider by a human). We aren't doing too much to
;; be efficient at this point--for example, we are representing sets as
;; lists, and taking other shortcuts. With some cleverness, we think
;; we could both speed up the queries, and also cut down on the number of
;; bogus/uninteresting answers.
;;
;;
;; CHEATING, BUT NOT REALLY
;;
;; In this file we are hand-compiling parts of the overall query, and
;; using various heuristics and reasoning techniques. We are most
;; interested in exploring *where we might get leverage to avoid
;; combinatorial explosion* while still keeping answers that are of
;; interest. In this file we will shamelessly hand-compile or chain
;; together parts of the query, and wave our hands to point out how we
;; applied a certain optimization or bit of reasoning. Obviously in a
;; real system a human would interact with the reasoning engine at a
;; much higher level of abstraction, and this code would be
;; automatically generated. Also, we would need to implement the
;; reasoning in a more automatic fashion, and might want to tweak or
;; change some of the hueristics, call out to external ontologies like
;; SNOMED so we can do logical queries to determine how concepts are
;; related, etc. We have tried to only include reasoning that we
;; think is generalizable, and which you might reasonably want to
;; apply for real queries.
;;
;; Obviously we are starting from an inherently cheating position,
;; since we know there is a connection bewteen imatinib and asthma.
;; However, we will try to be as honest as possible, and not use
;; tricks that just show asthma as the answer (ta da!). Instead, we
;; want to make sure that each step we take, and each bit of reasoning
;; we employ, seems reasonable. Over time we will learn which types
;; of reasoning seem to work best in practice--we might not use all of
;; these specific reasoning techniques, but we will use techniques
;; that are similar in spirit.
;;
;;
;; MUCH MORE EXPLORATION
;;
;; can be found in the 'study-imatinib.rkt' file, which is basically
;; 10K lines of queries and answers exploring different possible
;; answers, approaches to reasoning, etc. The examples and code below
;; have been taken from 'study-imatinib.rkt'.
;; Racket and mediKanren helpers
;; remove duplicates from a list
(define rem-dups
(lambda (ls)
(cond
[(null? ls) '()]
[(member (car ls) (cdr ls)) (rem-dups (cdr ls))]
[else (cons (car ls) (rem-dups (cdr ls)))])))
;; subtract elements from set l2 from set l1 (represented as lists)
(define set-subtraction
(lambda (l1 l2)
(cond
[(null? l1) '()]
[(member (car l1) l2) (set-subtraction (cdr l1) l2)]
[else (cons (car l1) (set-subtraction (cdr l1) l2))])))
;; set union
(define union
(lambda (l1 l2)
(cond
[(null? l1) l2]
[(member (car l1) l2) (union (cdr l1) l2)]
[else (cons (car l1) (union (cdr l1) l2))])))
;; set union for any number of sets
(define union*
(lambda args
(union*-aux args)))
;; helper for union*
(define union*-aux
(lambda (ls)
(cond
[(null? ls) '()]
[(null? (cdr ls)) (car ls)]
[else (union (car ls) (union*-aux (cdr ls)))])))
;; list membership helpers for mediKanren (depricated)
(define membero
(lambda (x ls)
(fresh (y rest)
(== `(,y . ,rest) ls)
(conde
[(== x y)]
[(=/= x y) (membero x rest)]))))
(define not-membero
(lambda (x ls)
(conde
[(== '() ls)]
[(fresh (y rest)
(== `(,y . ,rest) ls)
(=/= x y)
(not-membero x rest))])))
(displayln
"Finished loading helpers")
;;; First bit of reasoning:
;;
;; We want to find candidate "unknown" diseases that might be treated by imatinib.
;; SemMedDB has multiple concepts related to imatinib, some very specific (Gleevec),
;; some less specific (the class of imatinib-related drugs).
;;
;; One simple bit of reasoning we can do is try to find the types of
;; imatinib-related compounds, and thir relationships. An ontology
;; would be helpful here--we can get much of the way using the ISA
;; predicate in SemMedDB. We can also look at branchiong factors for
;; the different drug/gene inhibition connections, for example. Using
;; external sources as well, we can determine Gleevec is a trade name,
;; and is theremore more specific than the class of imatinib-related
;; compounds. We can therefor use the heuristic that we are going to
;; start by searching for connections from Gleevec, rather than all
;; imatinib compounds, to try to reduce the branching factor.
;; Here are the relevant ISA queries:
;; ??? ISA imatinib
;;
;; Gleevec makes sense (brand name), and probably Imatinib mesylate.
;; STI571 is okay, probably. http://chemocare.com/chemotherapy/drug-info/STI-571.aspx
;; And CGP 57148. https://www.biovision.com/imatinib-mesylate-cgp-57148b-sti-571.html
;;
;; The others seem...less good. 'Therapeutic procedure ISA imatinib' seems non-sensical.
;; 'Protein-tyrosine kinase inhibitor ISA imatinib' seems backwards.
;; '((3392 "Antineoplastic Agents" ("phsu"))
;; (13216 "Pharmacotherapy" ("topp"))
;; (13227 "Pharmaceutical Preparations" ("phsu"))
;; (87111 "Therapeutic procedure" ("topp"))
;; (385728 "CGP 57148" ("phsu" "orch"))
;; (543467 "Operative Surgical Procedures" ("topp"))
;; (906802 "STI571" ("phsu" "orch"))
;; (935987 "Gleevec" ("orch" "phsu"))
;; (939537 "Imatinib mesylate" ("orch" "phsu"))
;; (1268567 "Protein-tyrosine kinase inhibitor" ("phsu"))
;; (1268567 "Protein-tyrosine kinase inhibitor" ("phsu")))
(time
(run* (q)
(fresh (what-is-it drug e-what/drug st-what/drug ot-what/drug e-what/drug-rest)
(== what-is-it q)
(== '(935989 "imatinib" ("phsu" "orch")) drug)
(== `(,what-is-it ,drug "ISA" ,st-what/drug ,ot-what/drug . ,e-what/drug-rest) e-what/drug)
(edgeo e-what/drug))))
;; imatinib ISA ???
;; '((3392 "Antineoplastic Agents" ("phsu"))
;; (13216 "Pharmacotherapy" ("topp"))
;; (13227 "Pharmaceutical Preparations" ("phsu"))
;; (13227 "Pharmaceutical Preparations" ("phsu"))
;; (39796 "The science and art of healing" ("topp"))
;; (87111 "Therapeutic procedure" ("topp"))
;; (87111 "Therapeutic procedure" ("topp"))
;; (243076 "antagonists" ("chvf"))
;; (418981 "Medical therapy" ("topp"))
;; (543467 "Operative Surgical Procedures" ("topp"))
;; (679607 "treatment method" ("topp"))
;; (920425 "Cancer Treatment" ("topp"))
;; (935451 "neoplasm/cancer chemotherapy" ("topp"))
;; (939537 "Imatinib mesylate" ("orch" "phsu"))
;; (1254351 "Pharmacologic Substance" ("phsu"))
;; (1268567 "Protein-tyrosine kinase inhibitor" ("phsu"))
;; (1372955 "Active Ingredients" ("phsu"))
;; (1449702 "Protein Kinase Inhibitors" ("phsu"))
;; (1519313 "Signal Transduction Inhibitor" ("phsu"))
;; (1533685 "Injection procedure" ("topp"))
;; (1579409 "Molecular Target Inhibitors" ("phsu"))
;; (1611640 "Therapeutic agent (substance)" ("phsu")))
(time
(run* (q)
(fresh (drug what-is-it e-drug/what st-drug/what ot-drug/what e-drug/what-rest)
(== what-is-it q)
(== '(935989 "imatinib" ("phsu" "orch")) drug)
(== `(,drug ,what-is-it "ISA" ,st-drug/what ,ot-drug/what . ,e-drug/what-rest) e-drug/what)
(edgeo e-drug/what))))
(displayln
"Finished loading 'playing with ISA'")
;; THE CANDIDATE DISEASES
;;
;; Working backwards, here we calculate the final 111 candidate
;; diseases.
;;
;; subtract from the 154 disorders (no neoplasms or pathologic functions)
;; of interest those 456 disorders, neoplasms, or pathologic functions
;; directly treated by *any* form of imatinib (not just Gleevec)
;;
;; results in 111 disorders
;;
;; Should be able to pare down more using ontologies to see which
;; entries are forms of diabetes, for example. And use ontologies to
;; group remaning entries.
(define *final-disease-candidates*
(set-subtraction
'((10054 "Coronary Arteriosclerosis" ("dsyn"))
(41107 "Trisomy" ("dsyn"))
(25517 "Metabolic Diseases" ("dsyn"))
(15695 "Fatty Liver" ("dsyn"))
(752304 "Hypoxic-Ischemic Encephalopathy" ("dsyn"))
(17732 "Glucose Intolerance" ("dsyn"))
(158981 "Neonatal diabetes mellitus" ("dsyn"))
(6267 "Bronchiectasis" ("dsyn"))
(11616 "Contact Dermatitis" ("dsyn"))
(32285 "Pneumonia" ("dsyn"))
(1519680 "Tumor Immunity" ("dsyn"))
(242231 "Coronary Stenosis" ("dsyn"))
(729353 "Subfertility" ("dsyn"))
(9447 "Common Variable Immunodeficiency" ("dsyn"))
(33860 "Psoriasis" ("dsyn"))
(30920 "Peptic Ulcer" ("dsyn"))
(87086 "Thrombus" ("dsyn"))
(339510 "Vitelliform dystrophy" ("dsyn"))
(1857 "AIDS related complex" ("dsyn"))
(14038 "Encephalitis" ("dsyn"))
(35334 "Retinitis Pigmentosa" ("dsyn"))
(19163 "Hepatitis B" ("dsyn"))
(35435 "Rheumatism" ("dsyn"))
(38525 "Subarachnoid Hemorrhage" ("dsyn"))
(221757 "alpha 1-Antitrypsin Deficiency" ("dsyn"))
(948089 "Acute coronary syndrome" ("dsyn"))
(231341 "Premature aging syndrome" ("dsyn"))
(14553 "Absence Epilepsy" ("dsyn"))
(19151 "Hepatic Encephalopathy" ("dsyn"))
(20437 "Hypercalcemia" ("dsyn"))
(24899 "mastocytosis" ("dsyn"))
(178664 "Glomerulosclerosis" ("dsyn"))
(4153 "Atherosclerosis" ("dsyn"))
(4623 "Bacterial Infections" ("dsyn"))
(15397 "Eye diseases" ("dsyn"))
(21051 "Immunologic Deficiency Syndromes" ("dsyn"))
(26848 "Myopathy" ("dsyn"))
(35304 "Retinal Degeneration" ("dsyn"))
(35309 "Retinal Diseases" ("dsyn"))
(38220 "Status Epilepticus" ("dsyn"))
(85084 "Motor Neuron Disease" ("dsyn"))
(339573 "Primary open angle glaucoma" ("dsyn"))
(1285162 "Degenerative disorder" ("dsyn"))
(1290884 "Inflammatory disorder" ("dsyn"))
(1536085 "Geographic atrophy" ("dsyn"))
(18133 "Graft-vs-Host Disease" ("dsyn"))
(20459 "Hyperinsulinism" ("dsyn"))
(9319 "Colitis" ("dsyn"))
(11881 "Diabetic Nephropathy" ("dsyn"))
(14544 "Epilepsy" ("dsyn"))
(17601 "Glaucoma" ("dsyn"))
(19158 "Hepatitis" ("dsyn"))
(20456 "Hyperglycemia" ("dsyn"))
(20538 "Hypertensive disease" ("dsyn"))
(20550 "Hyperthyroidism" ("dsyn"))
(20615 "hypoglycemia" ("dsyn"))
(24141 "Lupus Erythematosus, Systemic" ("dsyn"))
(30305 "Pancreatitis" ("dsyn"))
(33626 "Protein Deficiency" ("dsyn"))
(36421 "Systemic Scleroderma" ("dsyn"))
(38454 "Cerebrovascular accident" ("dsyn"))
(151747 "Renal tubular disorder" ("dsyn"))
(239946 "Fibrosis, Liver" ("dsyn"))
(270814 "Spastic syndrome" ("dsyn"))
(400966 "Non-alcoholic fatty liver" ("dsyn"))
(878544 "Cardiomyopathies" ("dsyn"))
(948008 "Ischemic stroke" ("dsyn"))
(1175 "Acquired Immunodeficiency Syndrome" ("dsyn"))
(1824 "Agranulocytosis" ("dsyn"))
(2395 "Alzheimer's Disease" ("dsyn"))
(2736 "Amyotrophic Lateral Sclerosis" ("dsyn"))
(2871 "Anemia" ("dsyn"))
(3873 "Rheumatoid Arthritis" ("dsyn"))
(4135 "Ataxia Telangiectasia" ("dsyn"))
(4364 "Autoimmune Diseases" ("dsyn"))
(7193 "Cardiomyopathy, Dilated" ("dsyn"))
(7222 "Cardiovascular Diseases" ("dsyn"))
(7785 "Cerebral Infarction" ("dsyn"))
(8312 "Primary biliary cirrhosis" ("dsyn"))
(8370 "Cholestasis" ("dsyn"))
(11615 "Dermatitis, Atopic" ("dsyn"))
(11847 "Diabetes" ("dsyn"))
(11849 "Diabetes Mellitus" ("dsyn"))
(11854 "Diabetes Mellitus, Insulin-Dependent" ("dsyn"))
(11860 "Diabetes Mellitus, Non-Insulin-Dependent" ("dsyn"))
(11884 "Diabetic Retinopathy" ("dsyn"))
(13595 "Eczema" ("dsyn"))
(14175 "Endometriosis, site unspecified" ("dsyn"))
(17152 "Gastritis" ("dsyn"))
(17658 "Glomerulonephritis" ("dsyn"))
(18799 "Heart Diseases" ("dsyn"))
(18801 "Heart failure" ("dsyn"))
(19693 "HIV Infections" ("dsyn"))
(20179 "Huntington Disease" ("dsyn"))
(20542 "Hypertension, Pulmonary" ("dsyn"))
(21053 "Immune System Diseases" ("dsyn"))
(21311 "Infection" ("dsyn"))
(21359 "Infertility" ("dsyn"))
(21364 "Infertility, Male" ("dsyn"))
(21390 "Inflammatory Bowel Diseases" ("dsyn"))
(22116 "Ischemia" ("dsyn"))
(22658 "Kidney Diseases" ("dsyn"))
(22660 "Kidney Failure, Acute" ("dsyn"))
(23530 "Leukopenia" ("dsyn"))
(23895 "Liver diseases" ("dsyn"))
(24117 "Chronic Obstructive Airway Disease" ("dsyn"))
(24312 "Lymphopenia" ("dsyn"))
(26769 "Multiple Sclerosis" ("dsyn"))
(27051 "Myocardial Infarction" ("dsyn"))
(27765 "nervous system disorder" ("dsyn"))
(28754 "Obesity" ("dsyn"))
(29408 "Degenerative polyarthritis" ("dsyn"))
(29456 "Osteoporosis" ("dsyn"))
(30567 "Parkinson Disease" ("dsyn"))
(31763 "Photosensitization" ("dsyn"))
(32914 "Pre-Eclampsia" ("dsyn"))
(35305 "Retinal Detachment" ("dsyn"))
(36690 "Septicemia" ("dsyn"))
(38644 "Sudden infant death syndrome" ("dsyn"))
(39082 "Syndrome" ("dsyn"))
(40034 "Thrombocytopenia" ("dsyn"))
(41296 "Tuberculosis" ("dsyn"))
(42024 "Urinary Incontinence" ("dsyn"))
(42341 "Varicocele" ("dsyn"))
(42721 "Viral hepatitis" ("dsyn"))
(42769 "Virus Diseases" ("dsyn"))
(86543 "Cataract" ("anab" "dsyn"))
(151650 "Renal fibrosis" ("dsyn"))
(151744 "Myocardial Ischemia" ("dsyn"))
(158266 "Degenerative disc disease NOS" ("dsyn"))
(162557 "Liver Failure, Acute" ("dsyn"))
(162871 "Aortic Aneurysm, Abdominal" ("dsyn"))
(206139 "Lichen Planus, Oral" ("dsyn"))
(238806 "BONE MASS" ("dsyn"))
(242350 "Erectile dysfunction" ("dsyn"))
(242383 "Age related macular degeneration" ("dsyn"))
(242422 "Parkinsonian Disorders" ("dsyn"))
(268731 "Renal glomerular disease" ("dsyn"))
(270994 "Steroid-induced myopathy" ("dsyn"))
(339527 "Leber's amaurosis" ("dsyn"))
(340970 "Congenital neutropenia" ("dsyn"))
(343641 "Human papilloma virus infection" ("dsyn"))
(456909 "Blind Vision" ("dsyn"))
(524851 "Neurodegenerative Disorders" ("dsyn"))
(677607 "Hashimoto Disease" ("dsyn"))
(856169 "Endothelial dysfunction" ("dsyn"))
(857357 "Hepatic pathology" ("dsyn"))
(917798 "Cerebral Ischemia" ("dsyn"))
(1281300 "Vascular degeneration" ("dsyn"))
(1456670 "Nerve Diseases" ("dsyn"))
(4096 "Asthma" ("dsyn"))
(12634 "Disease" ("dsyn"))
(22661 "Kidney Failure, Chronic" ("dsyn"))
(23882 "Little's Disease" ("dsyn")))
'((2871 "Anemia" ("dsyn"))
(2874 "Aplastic Anemia" ("dsyn"))
(2895 "Sickle Cell Anemia" ("dsyn"))
(3047 "Animal Diseases" ("dsyn"))
(15376 "Extravasation" ("patf"))
(5684 "Malignant neoplasm of urinary bladder" ("neop"))
(4153 "Atherosclerosis" ("dsyn"))
(5684 "Malignant neoplasm of urinary bladder" ("neop"))
(5940 "Bone Diseases" ("dsyn"))
(18944 "Hematoma" ("patf"))
(7193 "Cardiomyopathy, Dilated" ("dsyn"))
(7682 "CNS disorder" ("dsyn"))
(20507 "Hyperplasia" ("patf"))
(6118 "Brain Neoplasms" ("neop"))
(21368 "Inflammation" ("patf"))
(8728 "Churg-Strauss Syndrome" ("dsyn"))
(6142 "Malignant neoplasm of breast" ("neop"))
(10403 "Cryoglobulinemia" ("dsyn"))
(11644 "Scleroderma" ("dsyn"))
(6142 "Malignant neoplasm of breast" ("neop"))
(29435 "Osteolysis" ("patf"))
(11854 "Diabetes Mellitus, Insulin-Dependent" ("dsyn"))
(36429 "Sclerosis" ("patf"))
(11881 "Diabetic Nephropathy" ("dsyn"))
(36974 "Shock" ("patf"))
(7095 "Carcinoid Tumor" ("neop"))
(14175 "Endometriosis, site unspecified" ("dsyn"))
(86565 "Liver Dysfunction" ("patf"))
(7095 "Carcinoid Tumor" ("neop"))
(15230 "Exanthema" ("dsyn"))
(151654 "Myocardial fibrosis" ("patf"))
(15230 "Exanthema" ("dsyn"))
(7097 "Carcinoma" ("neop"))
(15624 "Fanconi Syndrome" ("dsyn"))
(151746 "Abnormal renal function" ("patf"))
(17152 "Gastritis" ("dsyn"))
(7103 "Malignant neoplasm of endometrium" ("neop"))
(17658 "Glomerulonephritis" ("dsyn"))
(151746 "Abnormal renal function" ("patf"))
(7114 "Malignant neoplasm of skin" ("neop"))
(18801 "Heart failure" ("dsyn"))
(231178 "Chronic failure" ("patf"))
(19196 "Hepatitis C" ("dsyn"))
(20456 "Hyperglycemia" ("dsyn"))
(20538 "Hypertensive disease" ("dsyn"))
(21141 "Inappropriate ADH Syndrome" ("dsyn"))
(21390 "Inflammatory Bowel Diseases" ("dsyn"))
(22658 "Kidney Diseases" ("dsyn"))
(23882 "Little's Disease" ("dsyn"))
(23890 "Liver Cirrhosis" ("dsyn"))
(9404 "Colorectal Neoplasms" ("neop"))
(24115 "Lung diseases" ("dsyn"))
(333606 "Dystrophy" ("patf"))
(24440 "Macular Edema, Cystoid" ("dsyn"))
(443146 "Autoimmune" ("patf"))
(26769 "Multiple Sclerosis" ("dsyn"))
(27697 "Nephritis" ("dsyn"))
(549593 "kidney functional" ("patf"))
(27947 "Neutropenia" ("dsyn"))
(16048 "Fibromatosis" ("neop"))
(33838 "Kimura Disease" ("dsyn"))
(33860 "Psoriasis" ("dsyn"))
(34063 "Pulmonary Edema" ("dsyn"))
(744813 "Hepatic embolisation" ("patf"))
(35309 "Retinal Diseases" ("dsyn"))
(879626 "Adverse effects" ("patf"))
(35920 "Rubella" ("dsyn"))
(879626 "Adverse effects" ("patf"))
(18923 "Hemangiosarcoma" ("neop"))
(36992 "Short Bowel Syndrome" ("dsyn"))
(1265815 "Multiple ulcers" ("patf"))
(38013 "Ankylosing spondylitis" ("dsyn"))
(19204 "Primary carcinoma of the liver cells" ("neop"))
(1608322 "Leak NOS" ("patf"))
(39103 "Synovitis" ("dsyn"))
(19204 "Primary carcinoma of the liver cells" ("neop"))
(41296 "Tuberculosis" ("dsyn"))
(85786 "Hamman-Rich syndrome" ("dsyn"))
(23434 "Chronic Lymphocytic Leukemia" ("neop"))
(86438 "Hypogammaglobulinemia" ("dsyn"))
(151859 "Polyserositis" ("dsyn"))
(23448 "Lymphoblastic Leukemia" ("neop"))
(158168 "Villonodular synovitis" ("dsyn"))
(162557 "Liver Failure, Acute" ("dsyn"))
(162557 "Liver Failure, Acute" ("dsyn"))
(206062 "Lung Diseases, Interstitial" ("dsyn"))
(206143 "Loeffler's Endocarditis" ("dsyn"))
(236178 "Intraabdominal hemorrhage" ("dsyn"))
(238644 "anemia; profound" ("dsyn"))
(238790 "destruction; bone" ("dsyn"))
(239946 "Fibrosis, Liver" ("dsyn"))
(263664 "Generalized morphea" ("dsyn"))
(264939 "Systemic vasculitis" ("dsyn"))
(23475 "Leukemia, Myeloid, Philadelphia-Negative" ("neop"))
(272203 "Indolent Systemic Mastocytosis" ("dsyn"))
(276653 "Invasive pulmonary aspergillosis" ("dsyn"))
(277554 "Primary disease" ("dsyn"))
(277556 "Recurrent disease" ("dsyn"))
(334102 "Lymphangiomatosis" ("dsyn"))
(23484 "Leukemia, Plasmacytic" ("neop"))
(340548 "Pulmonary capillary hemangiomatosis" ("dsyn"))
(23601 "Leydig Cell Tumor" ("neop"))
(341213 "External gastric fistula" ("dsyn"))
(24301 "Lymphoma, Follicular" ("neop"))
(341439 "Chronic liver disease NOS" ("dsyn"))
(24623 "Malignant neoplasm of stomach" ("neop"))
(442867 "Malignant disease" ("dsyn"))
(549567 "Pigmentation Disorders" ("dsyn"))
(678236 "Rare Diseases" ("dsyn"))
(743496 "END ORGAN DAMAGE" ("dsyn"))
(25286 "meningioma" ("neop"))
(25500 "Mesothelioma" ("neop"))
(854467 "Myelosuppression" ("dsyn"))
(26764 "Multiple Myeloma" ("neop"))
(855227 "Purging" ("dsyn"))
(26986 "Dysmyelopoietic Syndromes" ("neop"))
(856169 "Endothelial dysfunction" ("dsyn"))
(878544 "Cardiomyopathies" ("dsyn"))
(920627 "Orphan Diseases" ("dsyn"))
(948008 "Ischemic stroke" ("dsyn"))
(948908 "Nephrotoxic serum nephritis" ("dsyn"))
(1273070 "Left ventricular diastolic dysfunction" ("dsyn"))
(1290884 "Inflammatory disorder" ("dsyn"))
(27832 "Neurofibromatosis 2" ("neop"))
(1299884 "Eosinophilic myositis" ("dsyn"))
(1306759 "Eosinophilic disorder" ("dsyn"))
(1306759 "Eosinophilic disorder" ("dsyn"))
(1332309 "Anti-Basement Membrane Glomerulonephritis" ("dsyn"))
(1533022 "Histiocytic proliferation" ("dsyn"))
(1565489 "Renal Insufficiency" ("dsyn"))
(36221 "Mast-Cell Sarcoma" ("neop"))
(41341 "Tuberous Sclerosis" ("neop"))
(79731 "B-Cell Lymphomas" ("neop"))
(79772 "T-Cell Lymphoma" ("neop"))
(153633 "Malignant neoplasm of brain" ("neop"))
(153633 "Malignant neoplasm of brain" ("neop"))
(162678 "Neurofibromatoses" ("neop"))
(205853 "Neoplasms, Epithelial" ("neop"))
(206647 "Dermatofibrosarcoma" ("neop"))
(206647 "Dermatofibrosarcoma" ("neop"))
(206657 "Sarcoma, Alveolar Soft Part" ("neop"))
(206754 "Neuroendocrine Tumors" ("neop"))
(206754 "Neuroendocrine Tumors" ("neop"))
(220650 "Metastatic malignant neoplasm to brain" ("neop"))
(238463 "Papillary thyroid carcinoma" ("neop"))
(242379 "Malignant neoplasm of lung" ("neop"))
(278517 "Non-small cell lung cancer recurrent" ("neop"))
(278695 "recurrent neuroblastoma" ("neop"))
(278704 "Malignant Childhood Neoplasm" ("neop"))
(278727 "Small cell lung cancer recurrent" ("neop"))
(279068 "childhood solid tumor" ("neop"))
(279087 "recurrent Kaposi's sarcoma" ("neop"))
(281361 "Adenocarcinoma pancreas" ("neop"))
(302592 "Cervix carcinoma" ("neop"))
(302592 "Cervix carcinoma" ("neop"))
(334410 "Leydig cell tumor, malignant" ("neop"))
(334695 "Endometrial Stromal Tumors" ("neop"))
(349636 "Pre B-cell acute lymphoblastic leukemia" ("neop"))
(553580 "Ewings sarcoma" ("neop"))
(677865 "Brain stem glioma" ("neop"))
(677865 "Brain stem glioma" ("neop"))
(685938 "Malignant neoplasm of gastrointestinal tract" ("neop"))
(686619 "Secondary malignant neoplasm of lymph node" ("neop"))
(854850 "Mycosis fungoides refractory" ("neop"))
(855054 "Fibrosarcoma metastatic" ("neop"))
(855211 "Seminoma of testis" ("neop"))
(948380 "Colorectal cancer metastatic" ("neop"))
(948380 "Colorectal cancer metastatic" ("neop"))
(1266042 "Chromophobe Renal Cell Carcinoma" ("neop"))
(1266101 "Thymic epithelial neoplasm" ("neop"))
(1266119 "Solitary fibrous tumor" ("neop"))
(1266120 "Solitary fibrous tumor, malignant" ("neop"))
(1300127 "Perivascular epithelial cell tumor" ("neop"))
(1306837 "Papillary Renal Cell Carcinoma" ("neop"))
(1318543 "Tenosynovial giant cell tumor" ("neop"))
(1319185 "Chiasmal glioma" ("neop"))
(1326912 "Tumorigenesis" ("neop"))
(1328504 "Hormone-refractory prostate cancer" ("neop"))
(1328504 "Hormone-refractory prostate cancer" ("neop"))
(1332884 "Central Nervous System Leukemia" ("neop"))
(1333614 "Fibrosarcomatous Dermatofibrosarcoma Protuberans" ("neop"))
(1334432 "Low Risk Gastrointestinal Stromal Tumor" ("neop"))
(1335996 "Small Intestinal Gastrointestinal Stromal Tumor" ("neop"))
(1378050 "Oncocytic Neoplasm" ("neop"))
(1411997 "Acute biphenotypic leukemia" ("neop"))
(1512409 "Hepatocarcinogenesis" ("neop"))
(1524028 "Intraepithelial Neoplasia of the Mouse Mammary Gland" ("neop"))
(3864 "Arthritis" ("dsyn"))
(3873 "Rheumatoid Arthritis" ("dsyn"))
(1418 "Adenocarcinoma" ("neop"))
(4364 "Autoimmune Diseases" ("dsyn"))
(6272 "Bronchiolitis Obliterans" ("dsyn"))
(9782 "Connective Tissue Diseases" ("dsyn"))
(10828 "Cytopenia" ("patf"))
(11603 "Dermatitis" ("dsyn"))
(11633 "Dermatomyositis" ("dsyn"))
(242656 "Disease Progression" ("patf"))
(14457 "Eosinophilia" ("dsyn"))
(14457 "Eosinophilia" ("dsyn"))
(242656 "Disease Progression" ("patf"))
(18133 "Graft-vs-Host Disease" ("dsyn"))
(7102 "Malignant tumor of colon" ("neop"))
(19618 "Histiocytosis" ("dsyn"))
(243083 "associated disease" ("patf"))
(19621 "Histiocytosis, Langerhans-Cell" ("dsyn"))
(7115 "Malignant neoplasm of thyroid" ("neop"))
(19624 "Histiocytosis, Non-Langerhans-Cell" ("dsyn"))
(277785 "Functional disorder" ("patf"))
(19625 "Sinus histiocytosis" ("dsyn"))
(20542 "Hypertension, Pulmonary" ("dsyn"))
(21311 "Infection" ("dsyn"))
(22661 "Kidney Failure, Chronic" ("dsyn"))
(399498 "Oral lichenoid reaction" ("patf"))
(24901 "Mastocytosis, Diffuse Cutaneous" ("dsyn"))
(26272 "Mixed Connective Tissue Disease" ("dsyn"))
(699748 "Pathogenesis" ("patf"))
(28754 "Obesity" ("dsyn"))
(7137 "Squamous cell carcinoma" ("neop"))
(31154 "Peritonitis" ("dsyn"))
(867389 "Chronic graft-versus-host disease" ("patf"))
(31763 "Photosensitization" ("dsyn"))
(7140 "Carcinosarcoma" ("neop"))
(32285 "Pneumonia" ("dsyn"))
(867389 "Chronic graft-versus-host disease" ("patf"))
(33687 "Proteinuria" ("dsyn"))
(7847 "Malignant neoplasm of cervix uteri" ("neop"))
(34069 "Pulmonary Fibrosis" ("dsyn"))
(34155 "Purpura, Thrombotic Thrombocytopenic" ("dsyn"))
(8479 "Chondrosarcoma" ("neop"))
(35435 "Rheumatism" ("dsyn"))
(8487 "Chordoma" ("neop"))
(36421 "Systemic Scleroderma" ("dsyn"))
(8487 "Chordoma" ("neop"))
(10606 "Adenoid Cystic Carcinoma" ("neop"))
(10606 "Adenoid Cystic Carcinoma" ("neop"))
(39082 "Syndrome" ("dsyn"))
(39106 "Pigmented villonodular synovitis" ("dsyn"))
(40034 "Thrombocytopenia" ("dsyn"))
(42384 "Vasculitis" ("dsyn"))
(18206 "granulosa cell tumor" ("neop"))
(152171 "Primary pulmonary hypertension" ("dsyn"))
(162835 "Hypopigmentation" ("dsyn"))
(206061 "Pneumonitis, Interstitial" ("dsyn"))
(23435 "Leukemia, B-Cell, Acute" ("neop"))
(267437 "Allergic diarrhea" ("dsyn"))
(282548 "Leukostasis" ("dsyn"))
(339143 "Thyroid associated opthalmopathies" ("dsyn"))
(339510 "Vitelliform dystrophy" ("dsyn"))
(341697 "Renal impairment" ("dsyn"))
(745091 "Hypereosinophilia" ("dsyn"))
(745091 "Hypereosinophilia" ("dsyn"))
(23470 "Myeloid Leukemia" ("neop"))
(745283 "INFECTIOUS PROCESS" ("dsyn"))
(23470 "Myeloid Leukemia" ("neop"))
(748159 "PULMONARY INVOLVEMENT" ("dsyn"))
(23472 "Leukemia, Myeloid, Aggressive-Phase" ("neop"))
(836924 "thrombocytosis" ("dsyn"))
(23472 "Leukemia, Myeloid, Aggressive-Phase" ("neop"))
(949690 "Spondylarthritis" ("dsyn"))
(1112486 "Aggressive Systemic Mastocytosis" ("dsyn"))
(1136033 "Cutaneous Mastocytosis" ("dsyn"))
(1142420 "Hepatitis B reactivation" ("dsyn"))
(1261469 "End stage renal failure" ("dsyn"))
(23479 "Leukemia, Myelomonocytic, Acute" ("neop"))
(1279945 "Acute interstitial pneumonia" ("dsyn"))
(1368107 "Aplastic bone marrow" ("dsyn"))
(1619734 "Pulmonary arterial hypertension" ("dsyn"))
(23487 "Acute Promyelocytic Leukemia" ("neop"))
(23487 "Acute Promyelocytic Leukemia" ("neop"))
(23494 "Leukemia, T-Cell, Chronic" ("neop"))
(23827 "liposarcoma" ("neop"))
(26987 "Myelofibrosis" ("neop"))
(29925 "Ovarian Carcinoma" ("neop"))
(29925 "Ovarian Carcinoma" ("neop"))
(32463 "Polycythemia Vera" ("neop"))
(32463 "Polycythemia Vera" ("neop"))
(35412 "Rhabdomyosarcoma" ("neop"))
(36220 "Kaposi Sarcoma" ("neop"))
(36631 "Seminoma" ("neop"))
(39101 "synovial sarcoma" ("neop"))
(40100 "Thymoma" ("neop"))
(79218 "Fibromatosis, Aggressive" ("neop"))
(79218 "Fibromatosis, Aggressive" ("neop"))
(151779 "[X]Malignant melanoma of skin, unspecified" ("neop"))
(205851 "Germ cell tumor" ("neop"))
(205969 "Thymic Carcinoma" ("neop"))
(205969 "Thymic Carcinoma" ("neop"))
(206630 "Endometrial Stromal Sarcoma" ("neop"))
(206693 "Medullary carcinoma" ("neop"))
(206698 "Cholangiocarcinoma" ("neop"))
(206728 "Plexiform Neurofibroma" ("neop"))
(206728 "Plexiform Neurofibroma" ("neop"))
(276535 "AIDS with Kaposi's sarcoma" ("neop"))
(278488 "Breast cancer metastatic" ("neop"))
(278488 "Breast cancer metastatic" ("neop"))
(278678 "Metastatic renal cell carcinoma" ("neop"))
(278694 "Disseminated neuroblastoma" ("neop"))
(278787 "relapsing chronic myelogenous leukemia" ("neop"))
(278787 "relapsing chronic myelogenous leukemia" ("neop"))
(278883 "Metastatic melanoma" ("neop"))
(278883 "Metastatic melanoma" ("neop"))
(279549
"Philadelphia chromosome negative chronic myelogenous leukemia"
("neop"))
(280449 "secondary acute myeloid leukemia" ("neop"))
(334664 "Mast Cell Neoplasm" ("neop"))
(338113 "Uterine Corpus Sarcoma" ("neop"))
(341823 "Epithelial tumor of ovary" ("neop"))
(345967 "Malignant mesothelioma" ("neop"))
(345967 "Malignant mesothelioma" ("neop"))
(346421 "Chronic eosinophilic leukemia" ("neop"))
(346976 "Secondary malignant neoplasm of pancreas" ("neop"))
(349640 "[M]Subacute myeloid leukemia" ("neop"))
(431109 "Choroid Plexus Carcinoma" ("neop"))
(476089 "Endometrial Carcinoma" ("neop"))
(476089 "Endometrial Carcinoma" ("neop"))
(521158 "Recurrent tumor" ("neop"))
(543478 "Residual Tumor" ("neop"))
(543478 "Residual Tumor" ("neop"))
(549379 "Recurrent Carcinoma" ("neop"))
(598798 "Lymphoid neoplasm" ("neop"))
(598934 "tumor growth" ("neop"))
(677936 "Refractory Carcinoma" ("neop"))
(699889 "Female reproductive neoplasm malignant NOS" ("neop"))
(740267 "Ocular melanomas" ("neop"))
(740277 "Bile duct carcinoma" ("neop"))
(743535 "EOSINOPHILIC GRANULOMATOSIS" ("neop"))
(751690 "Malignant Peripheral Nerve Sheath Tumor" ("neop"))
(751690 "Malignant Peripheral Nerve Sheath Tumor" ("neop"))
(812413 "Malignant Pleural Mesothelioma" ("neop"))
(855013 "Chondrosarcoma recurrent" ("neop"))
(936223 "Prostate cancer metastatic" ("neop"))
(1292778 "Chronic myeloproliferative disorder (morphology)" ("neop"))
(1292778 "Chronic myeloproliferative disorder (morphology)" ("neop"))
(1327920 "childhood chronic myelogenous leukemia" ("neop"))
(1333768 "Gastric Gastrointestinal Stromal Tumor" ("neop"))
(1334026 "High Risk Gastrointestinal Stromal Tumor" ("neop"))
(1334026 "High Risk Gastrointestinal Stromal Tumor" ("neop"))
(1334699 "Mesenchymal Cell Neoplasm" ("neop"))
(1335711 "Recurrent Mature T- and NK-Cell Non-Hodgkin's Lymphoma" ("neop"))
(1335713 "Recurrent Meningioma" ("neop"))
(1335729 "Refractory Neoplasm" ("neop"))
(1336746 "Thymus Carcinoid Tumor" ("neop"))
(1540912 "Hypereosinophilic syndrome" ("neop"))
(1540912 "Hypereosinophilic syndrome" ("neop"))
(235063 "Respiratory Depression" ("patf"))
(679222 "functional insufficiency" ("patf"))
(12634 "Disease" ("dsyn"))
(1815 "Primary Myelofibrosis" ("neop"))
(12634 "Disease" ("dsyn"))
(9566 "Complication" ("patf"))
(24228 "Lymphatic Diseases" ("dsyn"))
(24899 "mastocytosis" ("dsyn"))
(20517 "Hypersensitivity" ("patf"))
(37354 "Smallpox" ("dsyn"))
(28778 "Obstruction" ("patf"))
(221013 "Mastocytosis, Systemic" ("dsyn"))
(1318485 "Liver regeneration disorder" ("dsyn"))
(242184 "Hypoxia" ("patf"))
(9402 "Carcinoma of the Large Intestine" ("neop"))
(456070 "Growth delay" ("patf"))
(17638 "Glioma" ("neop"))
(19829 "Hodgkin Disease" ("neop"))
(23269 "leiomyosarcoma" ("neop"))
(23269 "leiomyosarcoma" ("neop"))
(23453 "Leukemia, Lymphocytic, Acute, L2" ("neop"))
(23476 "Leukemia, Myeloid, Philadelphia-Positive" ("neop"))
(23480 "Leukemia, Myelomonocytic, Chronic" ("neop"))
(23481 "Leukemia, Neutrophilic, Chronic" ("neop"))
(27022 "Myeloproliferative disease" ("neop"))
(27819 "Neuroblastoma" ("neop"))
(29463 "osteosarcoma" ("neop"))
(85136 "Central Nervous System Neoplasms" ("neop"))
(149925 "Small cell carcinoma of lung" ("neop"))
(149925 "Small cell carcinoma of lung" ("neop"))
(152018 "Esophageal carcinoma" ("neop"))
(178874 "Neoplasm progression" ("neop"))
(206093 "Neuroectodermal Tumors" ("neop"))
(235974 "Pancreatic carcinoma" ("neop"))
(235974 "Pancreatic carcinoma" ("neop"))
(238461 "Anaplastic thyroid carcinoma" ("neop"))
(238462 "Medullary carcinoma of thyroid" ("neop"))
(278726 "Small cell lung cancer extensive stage" ("neop"))
(376358 "Malignant neoplasm of prostate" ("neop"))
(376545 "Hematologic Neoplasms" ("neop"))
(494165 "Secondary malignant neoplasm of liver" ("neop"))
(494165 "Secondary malignant neoplasm of liver" ("neop"))
(555198 "Malignant Glioma" ("neop"))
(677930 "Primary Neoplasm" ("neop"))
(699791 "Stomach Carcinoma" ("neop"))
(750952 "Biliary Tract Cancer" ("neop"))
(751606 "Adult Acute Lymphocytic Leukemia" ("neop"))
(860582 "Peritoneal metastases" ("neop"))
(877373 "Advanced cancer" ("neop"))
(879615 "Stromal Neoplasm" ("neop"))
(887833 "Carcinoma, Pancreatic Ductal" ("neop"))
(920028 "Leukaemia recurrent" ("neop"))
(1266137 "Gastrointestinal stromal sarcoma" ("neop"))
(1279296 "Chronic leukemia (category)" ("neop"))
(1370868 "refractory CML" ("neop"))
(2395 "Alzheimer's Disease" ("dsyn"))
(8679 "Chronic Disease" ("dsyn"))
(5699 "Blast Phase" ("neop"))
(11847 "Diabetes" ("dsyn"))
(16059 "Fibrosis" ("patf"))
(11860 "Diabetes Mellitus, Non-Insulin-Dependent" ("dsyn"))
(6826 "Malignant Neoplasms" ("neop"))
(37274 "skin disorder" ("dsyn"))
(21655 "Insulin Resistance" ("patf"))
(206141 "Idiopathic Hypereosinophilic Syndrome" ("dsyn"))
(6826 "Malignant Neoplasms" ("neop"))
(878773 "Overactive Bladder" ("dsyn"))
(332448 "Infiltration" ("patf"))
(1167698 "Leukaemic retinopathy" ("dsyn"))
(7129 "Merkel cell carcinoma" ("neop"))
(1258104 "Diffuse Scleroderma" ("dsyn"))
(920563 "insulin sensitivity" ("patf"))
(7131 "Carcinoma, Non-Small-Cell Lung" ("neop"))
(7134 "Renal Cell Carcinoma" ("neop"))
(17185 "Gastrointestinal Neoplasms" ("neop"))
(17636 "Glioblastoma" ("neop"))
(23418 "leukemia" ("neop"))
(23418 "leukemia" ("neop"))
(23449 "Leukemia, Lymphocytic, Acute" ("neop"))
(23467 "Leukemia, Myelocytic, Acute" ("neop"))
(23473 "Myeloid Leukemia, Chronic" ("neop"))
(23473 "Myeloid Leukemia, Chronic" ("neop"))
(23474 "Leukemia, Myeloid, Chronic-Phase" ("neop"))
(24221 "Lymphangioma" ("neop"))
(25149 "medulloblastoma" ("neop"))
(25202 "melanoma" ("neop"))
(26948 "Mycosis Fungoides" ("neop"))
(27627 "Neoplasm Metastasis" ("neop"))
(27651 "Neoplasm" ("neop"))
(27831 "Neurofibromatosis 1" ("neop"))
(27859 "Acoustic Neuroma" ("neop"))
(35335 "Retinoblastoma" ("neop"))
(85669 "Acute leukemia" ("neop"))
(152276 "Granulocytic Sarcoma" ("neop"))
(153658 "Malignant neoplasm of endocrine gland" ("neop"))
(153690 "Secondary malignant neoplasm of bone" ("neop"))
(220633 "Intraocular melanoma" ("neop"))
(238198 "Gastrointestinal Stromal Tumors" ("neop"))
(238198 "Gastrointestinal Stromal Tumors" ("neop"))
(242596 "Neoplasm, Residual" ("neop"))
(279543
"Philadelphia chromosome positive chronic myelogenous leukemia"
("neop"))
(279671 "Cervical Squamous Cell Carcinoma" ("neop"))
(280100 "Solid tumor" ("neop"))
(334486 "Sarcoma, Endometrial Stromal, Low-Grade" ("neop"))
(334569 "Odontogenic myxoma" ("neop"))
(346429 "Multiple malignancy" ("neop"))
(392784 "Dermatofibrosarcoma Protuberans" ("neop"))
(677886 "Epithelial ovarian cancer" ("neop"))
(856536 "Philadelphia chromosome positive" ("neop"))
(1261473 "sarcoma" ("neop"))
(1261473 "sarcoma" ("neop"))
(1336869 "Unresectable Malignant Neoplasm" ("neop"))
(1370723 "Stromal sarcoma" ("neop")))))
;;
;; *final-disease-candidates*
;;
;; The disease candidates produced.
;;
;; Of particular interest to us is:
;;
;; (4096 "Asthma" ("dsyn"))
;;
;; The 111 answers include
;;
;; (11849 "Diabetes Mellitus" ("dsyn"))
;;
;; since SemMedDB doesn't "know" that
;;
#|
'((10054 "Coronary Arteriosclerosis" ("dsyn"))
(41107 "Trisomy" ("dsyn"))
(25517 "Metabolic Diseases" ("dsyn"))
(15695 "Fatty Liver" ("dsyn"))
(752304 "Hypoxic-Ischemic Encephalopathy" ("dsyn"))
(17732 "Glucose Intolerance" ("dsyn"))