Literature DB >> 29016571

Prevalence and timing of TP53 mutations in del(17p) myeloma and effect on survival.

M Chin1, J I Sive2, C Allen1, C Roddie1, S J Chavda1, D Smith1, P Blombery3, K Jones3, G L Ryland3, R Popat1, A Rismani4, S D'Sa4, N Rabin4, R E Gale1, K L Yong1.   

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Year:  2017        PMID: 29016571      PMCID: PMC5637106          DOI: 10.1038/bcj.2017.76

Source DB:  PubMed          Journal:  Blood Cancer J        ISSN: 2044-5385            Impact factor:   11.037


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The recent remarkable advances in multiple myeloma (MM) therapy and outcomes have had mixed impact on patients with adverse risk genetics, many of whom continue to have inferior outcomes. This applies particularly to deletion of chromosome 17p13 [del(17p)], found in ≈10% of newly diagnosed MM (ND) and at higher prevalence in advanced disease.[1, 2, 3, 4, 5] The TP53 gene is located within the minimally deleted region on 17p13, and is thought to confer the adverse risk in a haploinsufficient manner.[6] The incidence of TP53 mutations in ND is ≈3% but also increases with disease progression,[7, 8] and is associated with shorter survival.[9] Although TP53 mutations are uncommon in the absence of del(17p), approximately one third of del(17p) MM patients are reported to have a TP53 mutation, and this increases in refractory disease to more than 50%.[8, 10] The prognostic impact of TP53 mutations in del(17p) MM remains unresolved.[2, 10] We therefore carried out mutational analysis of a series of MM patients who had fluorescence in situ hybridization (FISH)-identified del(17p) to correlate with clinical outcomes. Ethical approval was obtained from National Research Ethics Service, London and informed consent in accordance with the Declaration of Helsinki. Out of 286 patients (2009–2014) tested at our centre using FISH on CD138+ bone marrow cells (Miltenyi microbead isolation), del(17p) was detected in 10 out of 98 (10.2%) ND and 42 out of 188 (22.3%) relapsed patients. An additional 6 patients were diagnosed with del(17p) at another centre. Material was available for all 16 ND and 35 relapse patients for mutational screening. In 23 patients, samples were available at more than one time point (range 2–4). FISH analysis was performed using standard probes.[11] Genomic DNA was amplified by polymerase chain reaction and screened for TP53 mutations in exons 4–11 using denaturing high-performance liquid chromatography (DHPLC; Transgenomic, Glasgow, UK). Mutations were verified by Sanger sequencing. Extended mutation testing was performed on TP53-mutated samples using targeted next generation sequencing (NGS; Supplementary Materials). Clinical details including treatment and disease response (2014 IMWG criteria) were collated. Survival was estimated using Kaplan–Meier methods, and differences were assessed by log-rank test, with P-values <0.05 considered statistically significant. Eighteen different TP53 mutations were identified in 18 del(17p) patients (35%) by DHPLC (Table 1). Consistent with other studies,[10] most mutations occurred in exons 5, 6 and 8 encoding an integral part of the p53 DNA binding domain. Seventeen (94%) were single-nucleotide variants (SNVs), a similar spectrum to that reported previously,[10] although others have found deletions or insertions.[2] Seventeen SNVs were documented on the International Agency for Research on Cancer TP53 database; 14 (82%) were missense mutations, two nonsense mutations and one altered a splice site. Most were predicted to produce a non-functional protein with <20% transcriptional activity. The remaining mutation was a novel in-frame indel. In 83% of samples, the variant allele frequency of the TP53 mutation was >50%, consistent with the known del(17p) in a significant proportion of cells. In three patients, additional low-level TP53 mutations were detected by NGS.
Table 1

Summary of TP53 mutations identified in the cohort

IDDisease status at time of mutation detectionMonths since diagnosisDel(17p) % by FISHMutated TP53 exonTP53 mutationTP53 mutation VAF (%)aOn IARC TP53Mutational effectbAdditional mutationscAdditional FISH abnormalities
1dRelapse1781007p.C242S52YesNon-functional missenseDIS3 (14%), TRAF3 (1%)t(4;14)
 Relapse184747p.C242S90YesNon-functional missenseDIS3 (4%), TRAF3 (13%)t(4;14), 13q-
2Relapse73786p.P190L12YesPartially functional missenseNoneNone
3dRelapse7553Int/Ex 9 10c.993+2T>C p.R342Xe90 12Yes YesDisrupt splicing NonsenseDIS3 (88%), FGFR3 (36%)t(4;14), 1q+, 13q-
 Relapse8687Int/Ex 9c.993+2T>C97YesDisrupt splicingDIS3 (99%), FGFR3 (45%)t(4;14), 1q+,1p-
4dRelapse56996p.I195T97YesNon-functional missenseKRAS (48%), FAM46C (31%)1q+, 13q-
 Relapse79996p.I195T93YesNon-functional missenseKRAS (47%), FAM46C (16%)1q+, 13q-
5Relapse46795p.C141Y66YesNon-functional missenseNoneNone
6Relapse63336p.H193R32YesNon-functional nonsenseNRAS (45%), DIS3 (41%)Hyperdiploid
7Relapse26868 6p.R267W p.H214Re64 11YesNon-functional missense Non-functional missenseNone1q+
8Relapse261005 9p.A138_T140delinsTSGDRPA p.Q317Xe78 9No YesIn-frame indel NonsenseATM (27%), DIS3 (34%), 2x NRAS (9%) (12%)1q+
9dRelapse14807p.Y234C99YesNon-functional missenseKRAS (43%)1p-, 13q-
 Relapse19807p.Y234C80YesNon-functional missenseKRAS (38%)1p-, 13q-
10Relapse121008p.E268A97YesNon-functional missenseNoneNone
11dNDMM010010p.L348S67YesNon-functional missensePRDM1 (65%), DIS3 (11%)13q-, t(4;14), 1p-,Tetraploid
 Relapse88610p.L348S39YesNon-functional missensePRDM1 (38%), DIS3 (24%), FAM46C (32%)13q-, t(4;14), 1p-, Tetraploid
12Relapse11915p.A161T97YesPartially functional missenseNonet(14;16), 1q+
13Relapse121008p.G279E68YesNon-functional missenseBRAF (30%)1q+
14Relapse101008p.P278S73YesNon-functional missenseFAM46C (23%)None
15NDMM0846p.Q192X88YesMissenseNRAS (36%), PIK3CA (41%), TRAF3 (45%)t(14;16), 13q-
16NDMM0964p.E62X91YesNonsenseNoneNone
17NDMM0925p.V172D98YesNon-functional missenseNonet(11;14)
18NDMM0774p.F109V47YesNon-functional missenseNonet(14;16), 1q+

Abbreviations: FISH, fluorescence in situ hybridization; Int/Ex, intron/exon boundary; NDMM, newly diagnosed multiple myeloma; NGS, next generation sequencing; VAF, variant allele frequency.

VAF as determined by targeted NGS.

Taken from the International Agency for Research on Cancer (IARC) TP53 database; proteins with <20% transcriptional activity were predicted to be non-functional and with 20–75% transcriptional activity partially functional.

Details are provided in Supplementary Table S3.

Patients with longitudinal samples.

Mutation only detected by targeted NGS.

Twenty-three patients were tested more than once, including 8 patients with TP53 mutations, allowing us to explore the chronology of these genetic events. TP53 mutations were identified at multiple time points in 5 patients (Table 1). In case 1, the mutant level increased with disease progression, indicating selection of the TP53-mutated clone. Case 11 showed clonal evolution with the appearance of a FAM46C mutation at relapse. Three patients (cases 3, 4 and 9) had consistently high mutant levels at both time points. The subclonal nonsense mutation detected in case 3 was only present in the first mutated sample. Thirteen of the 18 TP53-mutated patients (72%) were mutant-positive in the first sample analyzed (Figure 1a). In five this was at diagnosis, indicating that 31% (5 of 16) of patients in this cohort presented with both del(17p) and a TP53 mutation (cases 11, 15–18). However, this frequency may be an underestimate as diagnostic samples were not available from two patients who presented with del(17p), both of whom were TP53-mutated in a subsequent relapse sample (cases 5 and 10). In six patients, it was not possible to determine the chronology of their acquisition as earlier FISH results or stored samples were not available. In cases 1, 3 and 6, TP53 mutations were only detected at relapse despite mutational testing in earlier samples. Two of these patients also only acquired the del(17p) at relapse. Of note, in both the remaining two patients (cases 2 and 7), del(17p) acquisition clearly preceded the TP53 mutation. Case 2 acquired del(17p) at first relapse 34 months post-diagnosis but only acquired a TP53 mutation at their fourth relapse 73 months post-diagnosis. Case 7 presented with del(17p), was mutant-negative at relapse 17 months later, but acquired a TP53 mutation at second relapse 26 months post-diagnosis. The chronology of FISH and mutational testing for the 33 del(17p) patients without TP53 mutations is shown in Supplementary Figure S1.
Figure 1

Clinical impact of TP53 mutations. (a) Swimmer plot displaying the time of del(17p) FISH testing/detection and TP53 mutation screening for each TP53-mutated patient. Kaplan–Meier curves for (b) overall survival (OS) from first detection of del(17p) in patients with and without TP53 mutations, and (c) from first detection of the mutation in TP53-mutated patients compared to the last time point tested in non-mutated patients. Dotted Line, TP53-mutated patients; solid line, non-TP53 patients. CI, 95% confidence intervals; HR, hazard ratios.

There was no difference in age at diagnosis or disease isotype between TP53-mutated and non-mutated patients (Supplementary Table S1). Ten TP53-mutated patients (56%) also had at least one other high-risk cytogenetic feature detected at some point in their disease (t(4;14), t(14;16) or 1q gain; Table 1), but this frequency was not significantly different from the non-TP53-mutated patients (56 vs 49%, P=0.6). Ten TP53-mutated patients (56%) also had additional mutations in previously reported myeloma driver genes[9, 12] [DIS3(5), FAM46C(3), NRAS(3), KRAS(2), TRAF3(2), FGFR3(1), PRDM1(1), ATM(1), BRAF(1) and PIK3CA(1)] and most of these patients (7, 39%) had two or more additional mutations (Table 1); in our series, the incidence of DIS3 mutations (28%) appears higher. Median overall survival (OS) from diagnosis was significantly shorter in TP53-mutated than in non-mutated patients (19 vs 74 months, P=0.02; Supplementary Figure S2), as was median OS from the time at which del(17p) was first detected (8 vs 29 months, P<0.01; Figure 1b). Median progression-free survival (PFS) from first detection of del(17p) was similar between the two groups (7 vs 12 months, P=0.51; Supplementary Figure S3A), but the acquisition of a TP53 mutation was associated with extremely poor survival. Median PFS of patients from the time a mutation was first detected was 5 months (Supplementary Figure S3B), and median OS was 7 months (Figure 1c). In contrast, patients who remained without detectable TP53 mutation had a median PFS of 11.5 months, with median OS 17 months, calculated from the date of the last sample tested. There was thus a striking difference in survival between patients with and without TP53 mutations. These results confirm that, although homozygous deletion of TP53 in MM is uncommon,[3] inactivating TP53 mutations that are likely to produce non-functional proteins are frequent in del(17p) MM. TP53 haploinsufficiency in MM causes downstream p53 pathway deregulation, altering the delivery of an apoptotic response,[6] but the biological consequence of the additional functional loss conferred by mutation of the remaining allele remains unclear. In this cohort, we observed that TP53 mutation usually occurred after, or simultaneously with, allelic loss of 17p13, and conferred a significantly poorer prognosis for those patients with both abnormalities. Bi-allelic inactivation of tumor suppressor genes, including TP53, has been reported to drive relapse in MM. A recent longitudinal study similarly identified that bi-allelic events leading to complete TP53 inactivation resulted in the poorest prognosis at relapse.[13] Patients with the lowest levels of TP53 mRNA have also been reported to have the worst clinical outcome.[3, 14] There is also evidence of other mechanisms leading to p53 inactivation in MM, including promoter methylation and aberrant expression and function of p53-regulating miRNAs,[15] thus investigation of TP53 mRNA and p53 protein levels may be warranted. Collectively our results confirm that, in the context of del(17p), acquisition of a TP53 mutation on the other allele confers significantly worse clinical outcomes, and suggest that allelic loss of 17p13 likely precedes such mutations. In the era of genomic medicine, there is a case for routinely screening for TP53 mutations in del(17p) MM to aid management decisions and direct these high-risk patients towards alternative treatment strategies aimed at counteracting the loss of tumor suppressor activity. Finally, the possibility of a different target gene for del(17p) in patients who do not have mutations of TP53 remains to be explored.
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Journal:  Blood       Date:  2007-01-05       Impact factor: 22.113

2.  Improving overall survival and overcoming adverse prognosis in the treatment of cytogenetically high-risk multiple myeloma.

Authors:  P Leif Bergsagel; María-Victoria Mateos; Norma C Gutierrez; S Vincent Rajkumar; Jesús F San Miguel
Journal:  Blood       Date:  2012-11-19       Impact factor: 22.113

3.  The clinical impact and molecular biology of del(17p) in multiple myeloma treated with conventional or thalidomide-based therapy.

Authors:  Kevin D Boyd; Fiona M Ross; William J Tapper; Laura Chiecchio; GianPaolo Dagrada; Zoe J Konn; David Gonzalez; Brian A Walker; Sarah L Hockley; Christopher P Wardell; Walter M Gregory; J Anthony Child; Graham H Jackson; Faith E Davies; Gareth J Morgan
Journal:  Genes Chromosomes Cancer       Date:  2011-10       Impact factor: 5.006

4.  Mutations in TP53 are exclusively associated with del(17p) in multiple myeloma.

Authors:  Laurence Lodé; Marion Eveillard; Valérie Trichet; Thierry Soussi; Soraya Wuillème; Steven Richebourg; Florence Magrangeas; Norbert Ifrah; Loïc Campion; Catherine Traullé; François Guilhot; Denis Caillot; Gérald Marit; Claire Mathiot; Thierry Facon; Michel Attal; Jean-Luc Harousseau; Philippe Moreau; Stéphane Minvielle; Hervé Avet-Loiseau
Journal:  Haematologica       Date:  2010-07-15       Impact factor: 9.941

5.  p53 haploinsufficiency and functional abnormalities in multiple myeloma.

Authors:  P J Teoh; T H Chung; S Sebastian; S N Choo; J Yan; S B Ng; R Fonseca; W J Chng
Journal:  Leukemia       Date:  2014-03-14       Impact factor: 11.528

6.  Targeted sequencing using a 47 gene multiple myeloma mutation panel (M(3) P) in -17p high risk disease.

Authors:  Klaus M Kortüm; Christian Langer; Jorge Monge; Laura Bruins; Jan B Egan; Yuan X Zhu; Chang Xin Shi; Patrick Jedlowski; Jessica Schmidt; Juhi Ojha; Lars Bullinger; Peter Liebisch; Miriam Kull; Mia D Champion; Scott Van Wier; Gregory Ahmann; Leo Rasche; Stefan Knop; Rafael Fonseca; Hermann Einsele; A Keith Stewart; Esteban Braggio
Journal:  Br J Haematol       Date:  2014-10-10       Impact factor: 6.998

7.  Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma.

Authors:  Niels Weinhold; Cody Ashby; Leo Rasche; Shweta S Chavan; Caleb Stein; Owen W Stephens; Ruslana Tytarenko; Michael A Bauer; Tobias Meissner; Shayu Deshpande; Purvi H Patel; Timea Buzder; Gabor Molnar; Erich A Peterson; Frits van Rhee; Maurizio Zangari; Sharmilan Thanendrarajan; Carolina Schinke; Erming Tian; Joshua Epstein; Bart Barlogie; Faith E Davies; Christoph J Heuck; Brian A Walker; Gareth J Morgan
Journal:  Blood       Date:  2016-08-11       Impact factor: 22.113

8.  Downregulation of p53-inducible microRNAs 192, 194, and 215 impairs the p53/MDM2 autoregulatory loop in multiple myeloma development.

Authors:  Flavia Pichiorri; Sung-Suk Suh; Alberto Rocci; Luciana De Luca; Cristian Taccioli; Ramasamy Santhanam; Wenchao Zhou; Don M Benson; Craig Hofmainster; Hansjuerg Alder; Michela Garofalo; Gianpiero Di Leva; Stefano Volinia; Huey-Jen Lin; Danilo Perrotti; Michael Kuehl; Rami I Aqeilan; Antonio Palumbo; Carlo M Croce
Journal:  Cancer Cell       Date:  2010-10-19       Impact factor: 31.743

9.  Molecular spectrum of TP53 mutations in plasma cell dyscrasias by next generation sequencing: an Italian cohort study and overview of the literature.

Authors:  Marta Lionetti; Marzia Barbieri; Martina Manzoni; Sonia Fabris; Cecilia Bandini; Katia Todoerti; Filomena Nozza; Davide Rossi; Pellegrino Musto; Luca Baldini; Antonino Neri
Journal:  Oncotarget       Date:  2016-04-19

10.  Mutational Spectrum, Copy Number Changes, and Outcome: Results of a Sequencing Study of Patients With Newly Diagnosed Myeloma.

Authors:  Brian A Walker; Eileen M Boyle; Christopher P Wardell; Alex Murison; Dil B Begum; Nasrin M Dahir; Paula Z Proszek; David C Johnson; Martin F Kaiser; Lorenzo Melchor; Lauren I Aronson; Matthew Scales; Charlotte Pawlyn; Fabio Mirabella; John R Jones; Annamaria Brioli; Aneta Mikulasova; David A Cairns; Walter M Gregory; Ana Quartilho; Mark T Drayson; Nigel Russell; Gordon Cook; Graham H Jackson; Xavier Leleu; Faith E Davies; Gareth J Morgan
Journal:  J Clin Oncol       Date:  2015-08-17       Impact factor: 44.544

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Journal:  Int J Hematol       Date:  2020-02-06       Impact factor: 2.490

2.  Impact of acquired del(17p) in multiple myeloma.

Authors:  Arjun Lakshman; Utkarsh Painuly; S Vincent Rajkumar; Rhett P Ketterling; Prashant Kapoor; Patricia T Greipp; Angela Dispenzieri; Morie A Gertz; Francis K Buadi; Martha Q Lacy; David Dingli; Amie L Fonder; Suzanne R Hayman; Miriam A Hobbs; Wilson I Gonsalves; Yi Lisa Hwa; Nelson Leung; Ronald S Go; Yi Lin; Taxiarchis V Kourelis; Rahma Warsame; John A Lust; Stephen J Russell; Steven R Zeldenrust; Robert A Kyle; Shaji K Kumar
Journal:  Blood Adv       Date:  2019-07-09

3.  Amp 1q21 is more predictable with dismal survival than gain 1q21 of newly diagnosed multiple myeloma in real-world analysis.

Authors:  Yu-Tong Wang; Li Bao; Bin Chu; Xiao-Huan Chen; Min-Qiu Lu; Lei Shi; Shan Gao; Li-Juan Fang; Qiu-Qing Xiang; Yue-Hua Ding
Journal:  J Clin Lab Anal       Date:  2022-03-30       Impact factor: 3.124

4.  The clonal evolution during long-term clinical course of multiple myeloma.

Authors:  Yuko Mishima; Yuji Mishima; Yuko Shirouchi; Noriko Nishimura; Masahiro Yokoyama; Takashi Okabe; Norihito Inoue; Hideki Uryu; Takanori Fukuta; Kiyohiko Hatake; Yasuhito Terui
Journal:  Int J Hematol       Date:  2020-08-30       Impact factor: 2.490

5.  Updates from the 2019 American Society of Clinical Oncology and European Hematology Association annual meetings: a Canadian perspective on high-risk cytogenetics in multiple myeloma.

Authors:  R LeBlanc; K Song; D White; A Christofides; S Doucette
Journal:  Curr Oncol       Date:  2019-08-01       Impact factor: 3.677

6.  Preclinical evidence for an effective therapeutic activity of FL118, a novel survivin inhibitor, in patients with relapsed/refractory multiple myeloma.

Authors:  Lisa C Holthof; Hilma J van der Horst; Susan E van Hal-van Veen; Ruud W J Ruiter; Fengzhi Li; Marijke Buijze; Morten N Andersen; Huipin Yuan; Joost de Bruijn; Niels W C J van de Donk; Henk M Lokhorst; Sonja Zweegman; Richard W J Groen; Tuna Mutis
Journal:  Haematologica       Date:  2020-01-31       Impact factor: 9.941

Review 7.  Risk factors in multiple myeloma: is it time for a revision?

Authors:  Jill Corre; Nikhil C Munshi; Hervé Avet-Loiseau
Journal:  Blood       Date:  2021-01-07       Impact factor: 25.476

8.  Overall survival of transplant eligible patients with newly diagnosed multiple myeloma: comparative effectiveness analysis of modern induction regimens on outcome.

Authors:  Ashley R Paquin; Shaji K Kumar; Francis K Buadi; Morie A Gertz; Martha Q Lacy; Angela Dispenzieri; David Dingli; Lisa Hwa; Amie Fonder; Miriam Hobbs; Suzanne R Hayman; Steven R Zeldenrust; John A Lust; Stephen J Russell; Nelson Leung; Prashant Kapoor; Ronald S Go; Yi Lin; Wilson I Gonsalves; Taxiarchis Kourelis; Rahma Warsame; Robert A Kyle; S Vincent Rajkumar
Journal:  Blood Cancer J       Date:  2018-12-11       Impact factor: 11.037

9.  Natural history of multiple myeloma with de novo del(17p).

Authors:  Arjun Lakshman; Utkarsh Painuly; S Vincent Rajkumar; Rhett P Ketterling; Prashant Kapoor; Patricia T Greipp; Morie A Gertz; Francis K Buadi; Martha Q Lacy; David Dingli; Angela Dispenzieri; Amie L Fonder; Suzanne R Hayman; Miriam A Hobbs; Wilson I Gonsalves; Yi Lisa Hwa; Nelson Leung; Ronald S Go; Yi Lin; Taxiarchis V Kourelis; Rahma Warsame; John A Lust; Stephen J Russell; Steven R Zeldenrust; Robert A Kyle; Shaji K Kumar
Journal:  Blood Cancer J       Date:  2019-03-07       Impact factor: 11.037

Review 10.  Deregulation and Targeting of TP53 Pathway in Multiple Myeloma.

Authors:  Katarina K Jovanović; Guillaume Escure; Jordane Demonchy; Alexandre Willaume; Zoe Van de Wyngaert; Meryem Farhat; Paul Chauvet; Thierry Facon; Bruno Quesnel; Salomon Manier
Journal:  Front Oncol       Date:  2019-01-09       Impact factor: 6.244

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