All content on this site is intended for healthcare professionals only. By acknowledging this message and accessing the information on this website you are confirming that you are a Healthcare Professional. If you are a patient or carer, please visit the Lymphoma Coalition.

  TRANSLATE

The lym Hub website uses a third-party service provided by Google that dynamically translates web content. Translations are machine generated, so may not be an exact or complete translation, and the lym Hub cannot guarantee the accuracy of translated content. The lym and its employees will not be liable for any direct, indirect, or consequential damages (even if foreseeable) resulting from use of the Google Translate feature. For further support with Google Translate, visit Google Translate Help.

Now you can support HCPs in making informed decisions for their patients

Your contribution helps us continuously deliver expertly curated content to HCPs worldwide. You will also have the opportunity to make a content suggestion for consideration and receive updates on the impact contributions are making to our content.

Find out more

iwCLL 2017 | On the Origin of CLL Evolution

May 19, 2017


The sixth session at this year’s iwCLL was titled “Genetic Changes Involved in the Progression and Evolution of CLL”, and was jointly chaired by Christopher Vakoc (Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, New York) and Nicole Lamanna (New York Presbyterian and Columbia University Medical Center, New York, New York).

The first talk during this session was given by Dan Landau, MD, PhD, from Weill Cornell Medical College, New York, USA, and was titled “On the Origin of CLL Evolution.”

Landau began by stating that tumor evolution is a central obstacle to curative cancer therapy. If treatment is used on a cancer which displays intra-tumoral heterogeneity, then tumor evolution can result in progression, relapse, and treatment resistance. CLL is remains incurable despite very effective therapies. CLL allows studying evolution in its natural environment.

Landau et al. (Cell, 2013) studied intra-tumoral heterogeneity in 149 CLL cases by integrating Whole-Exome Sequence (WES) and copy number to measure the fraction of cancer cells harboring each somatic mutation. They identified driver mutations as predominantly clonal (such as MYD88, trisomy 12, and del(13q)) or sub-clonal (e.g. SF3B1 and TP53), corresponding to earlier and later events in CLL evolution.

In addition, they sampled leukemia cells from 18 patients at two different time points. Ten of twelve CLL cases treated with chemotherapy (but only one of six without treatment) underwent clonal evolution, predominantly involving subclones with driver mutations (e.g. SF3B1 and TP53) that expanded over time.

Red contour denote a CCF increase of >0.2

Furthermore, Landau et al. (Cell, 2013) found that the presence of a sub-clonal driver mutation was an independent risk factor for rapid disease progression.

In a later study, Landau et al. (Nature, 2015) investigated which genetic alterations drive tumorigenesis and how they evolve over the course of disease and therapy. They found that only 3% of CLLs are un-evolved at relapse and the remaining 97% of CLLs were significantly evolved in relapse. In 18 patients, evolution involved the expansion of a sub-clone already detected in the pre-treatment sample.

They identified 44 recurrently mutated genes and 11 recurrent somatic copy number variations through WES of 538 CLL and matched germline DNA samples, 278 of which were collected in a prospective clinical trial. These include previously unrecognized putative cancer drivers (RPS15, IKZF3) and collectively identify RNA processing and export, MYC activity, and MAPK signaling as central pathways involved in CLL.

Non-TP53 driven evolution was found in 8 cases, relying more on competitive outgrowth and not selective resistance.

 

Pre-treatment

Relapse

p-value

Average log10 reduction with therapy

3.9

3.9

0.9

Average re-population rate (per day)

0.5%

0.5%

0.03

TP53 driven evolution was found in 10 cases, relying more on selective resistance compared to competitive outgrowth.

 

TP53 wild type

TP53 mutant

p-value

Average log10 reduction with therapy

3.8

32.4

0.02

Average re-population rate (per day)

0.6%

0.8%

0.07

 

Moving on from this, Dan Landau also briefly discussed drivers of resistance to ibrutinib:

Additionally, the early evolutionary landscape of ibrutinib treated CLL was discussed. Serial WES of ibrutinib treated patients (n=61) was carried out. Cohort A (n=45) were treated with 420mg/d ibrutinib and cohort B (n=16) received 400mg/d. The median number of samples per patient was 3 (range, 3–5). Frequent clonal evolution was found early in therapy (30/61).

References