001     163651
005     20240229123154.0
024 7 _ |a 10.1038/s41467-020-18514-5
|2 doi
024 7 _ |a pmid:32958755
|2 pmid
024 7 _ |a altmetric:90841104
|2 altmetric
037 _ _ |a DKFZ-2020-01929
041 _ _ |a eng
082 _ _ |a 500
100 1 _ |a Ballhausen, Alexej
|0 0000-0002-5470-4973
|b 0
|e First author
245 _ _ |a The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution.
260 _ _ |a [London]
|c 2020
|b Nature Publishing Group UK
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1634822034_5773
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #EA:F210#LA:F210#
520 _ _ |a The immune system can recognize and attack cancer cells, especially those with a high load of mutation-induced neoantigens. Such neoantigens are abundant in DNA mismatch repair (MMR)-deficient, microsatellite-unstable (MSI) cancers. MMR deficiency leads to insertion/deletion (indel) mutations at coding microsatellites (cMS) and to neoantigen-inducing translational frameshifts. Here, we develop a tool to quantify frameshift mutations in MSI colorectal and endometrial cancer. Our results show that frameshift mutation frequency is negatively correlated to the predicted immunogenicity of the resulting peptides, suggesting counterselection of cell clones with highly immunogenic frameshift peptides. This correlation is absent in tumors with Beta-2-microglobulin mutations, and HLA-A*02:01 status is related to cMS mutation patterns. Importantly, certain outlier mutations are common in MSI cancers despite being related to frameshift peptides with functionally confirmed immunogenicity, suggesting a possible driver role during MSI tumor evolution. Neoantigens resulting from shared mutations represent promising vaccine candidates for prevention of MSI cancers.
536 _ _ |a 316 - Infections and cancer (POF3-316)
|0 G:(DE-HGF)POF3-316
|c POF3-316
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Przybilla, Moritz Jakob
|0 P:(DE-He78)2c6d4f81ba6891f170d25801c181ace1
|b 1
|e First author
700 1 _ |a Jendrusch, Michael
|0 P:(DE-HGF)0
|b 2
|e First author
700 1 _ |a Haupt, Saskia
|0 0000-0001-7537-9439
|b 3
700 1 _ |a Pfaffendorf, Elisabeth
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Seidler, Florian
|0 P:(DE-He78)42ccf6cd47fe67a45f6c7ba82ef71cb4
|b 5
700 1 _ |a Witt, Johannes
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Hernandez Sanchez, Alejandro
|0 P:(DE-He78)ae2b0ea140ce90582429c65ca3f07ddf
|b 7
700 1 _ |a Urban, Katharina
|0 P:(DE-He78)9cafc6ecff7e1f32c9d4644c841740cb
|b 8
700 1 _ |a Draxlbauer, Markus
|0 P:(DE-He78)8f193082367ba9aa5c54634703b1864f
|b 9
700 1 _ |a Krausert, Sonja
|0 P:(DE-He78)6e11760c6fdd0c35cd056cf36243ecd5
|b 10
700 1 _ |a Ahadova, Aysel
|0 P:(DE-He78)07eef6d38a91f4642c810745c5bf5000
|b 11
700 1 _ |a Kalteis, Martin Simon
|0 P:(DE-He78)f56b635d86a04c198398be3a2ba9e561
|b 12
700 1 _ |a Pfuderer, Pauline
|0 P:(DE-He78)d5d04ce2423a9de1689951cf098cd32c
|b 13
700 1 _ |a Heid, Daniel
|0 P:(DE-HGF)0
|b 14
700 1 _ |a Stichel, Damian
|0 P:(DE-He78)d20d08adc992abdb6ccffa1686f1ba17
|b 15
700 1 _ |a Gebert, Johannes
|0 P:(DE-He78)c826cd3421c6d05725b35568f80b4c67
|b 16
700 1 _ |a Bonsack, Maria
|0 P:(DE-He78)ec22a465429f245d6ef43a2329223262
|b 17
700 1 _ |a Schott, Sarah
|b 18
700 1 _ |a Bläker, Hendrik
|b 19
700 1 _ |a Seppälä, Toni
|0 0000-0002-4940-3498
|b 20
700 1 _ |a Mecklin, Jukka-Pekka
|b 21
700 1 _ |a Ten Broeke, Sanne
|b 22
700 1 _ |a Nielsen, Maartje
|b 23
700 1 _ |a Heuveline, Vincent
|0 0000-0002-2217-7558
|b 24
700 1 _ |a Krzykalla, Julia
|0 P:(DE-He78)5a7a75d1b29b770f98f1bb2062fc3df9
|b 25
700 1 _ |a Benner, Axel
|0 P:(DE-He78)e15dfa1260625c69d6690a197392a994
|b 26
700 1 _ |a Riemer, Angelika
|0 P:(DE-He78)3743a1b712edca2ffa829b7096d7037e
|b 27
700 1 _ |a von Knebel Doeberitz, Magnus
|0 P:(DE-He78)11747cd1dc061b9333c0e3a3ff31bf2f
|b 28
700 1 _ |a Kloor, Matthias
|0 P:(DE-He78)028ee60cca729028708496826f077b58
|b 29
|e Last author
773 _ _ |a 10.1038/s41467-020-18514-5
|g Vol. 11, no. 1, p. 4740
|0 PERI:(DE-600)2553671-0
|n 1
|p 4740
|t Nature Communications
|v 11
|y 2020
|x 2041-1723
909 C O |p VDB
|o oai:inrepo02.dkfz.de:163651
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 0000-0002-5470-4973
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)2c6d4f81ba6891f170d25801c181ace1
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)42ccf6cd47fe67a45f6c7ba82ef71cb4
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)ae2b0ea140ce90582429c65ca3f07ddf
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)9cafc6ecff7e1f32c9d4644c841740cb
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 P:(DE-He78)8f193082367ba9aa5c54634703b1864f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)6e11760c6fdd0c35cd056cf36243ecd5
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 11
|6 P:(DE-He78)07eef6d38a91f4642c810745c5bf5000
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 12
|6 P:(DE-He78)f56b635d86a04c198398be3a2ba9e561
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 13
|6 P:(DE-He78)d5d04ce2423a9de1689951cf098cd32c
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 14
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 15
|6 P:(DE-He78)d20d08adc992abdb6ccffa1686f1ba17
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 16
|6 P:(DE-He78)c826cd3421c6d05725b35568f80b4c67
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 17
|6 P:(DE-He78)ec22a465429f245d6ef43a2329223262
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 25
|6 P:(DE-He78)5a7a75d1b29b770f98f1bb2062fc3df9
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 26
|6 P:(DE-He78)e15dfa1260625c69d6690a197392a994
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 27
|6 P:(DE-He78)3743a1b712edca2ffa829b7096d7037e
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 28
|6 P:(DE-He78)11747cd1dc061b9333c0e3a3ff31bf2f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 29
|6 P:(DE-He78)028ee60cca729028708496826f077b58
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-316
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Infections and cancer
|x 0
914 1 _ |y 2020
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT COMMUN : 2018
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-01-16
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2020-01-16
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2020-01-16
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-01-16
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-01-16
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b NAT COMMUN : 2018
|d 2020-01-16
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|f 2020-01-16
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-01-16
920 1 _ |0 I:(DE-He78)F210-20160331
|k F210
|l Angewandte Tumorbiologie
|x 0
920 1 _ |0 I:(DE-He78)B300-20160331
|k B300
|l KKE Neuropathologie
|x 1
920 1 _ |0 I:(DE-He78)F130-20160331
|k F130
|l F130 Immuntherapie und -prävention
|x 2
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 3
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)F210-20160331
980 _ _ |a I:(DE-He78)B300-20160331
980 _ _ |a I:(DE-He78)F130-20160331
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21