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Key U.S. Multiple Myeloma Survival Rate Unchanged In Annual Cancer Statistics Update

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Published: Apr 17, 2018 5:49 pm

Updated multiple myeloma survival statistics for the United States were made public yesterday. The new data show little change in five-year survival compared to statistics released last year. This short-term plateau in myeloma survival stands in contrast to the sizable increases in survival seen in last year's update and the one in 2016.

The newly released statistics also show little change in how survival varies across myeloma patients based on their age, race, or gender. Age con­tin­ues to have a significant effect on survival chances, with younger patients ex­periencing much higher survival rates than older patients, even when survival rates are adjusted to take into account patient age (as is the case with the recently release survival data). Differences in survival based on race or gender, on the other hand, are not substantial, as has been the case for the last several data updates.

The new survival statistics were released as part of the annual update done by the U.S. National Cancer Institute’s Surveillance, Epidemiology, and End Results (“SEER”) Program, which compiles and publishes cancer-related data for the United States. The data published by SEER are based on actual observations of survival, rather than esti­mates that combine historical data with models or subjective opinion. Because the results are based on actual survival, they are inherently dated. It is not possible to publish actual five-year survival results, for example, until five years of data have been accumulated, checked, and analyzed.

Although the SEER methodology results in survival rates that can seem dated, the statistics are never­the­less important. They provide a base­line for projecting what survival might be for patients diagnosed more recently. In addi­tion, the way in which SEER survival rates change as innovations in cancer ther­apy occur can give further insight into what current survival rates may be.

The Latest Update And Long-Term Survival Trends

Discussions of cancer survival frequently focus on five-year survival. This is the survival statistic that the SEER pro­gram makes readily available for a wide range of cancers. To check whether survival for a par­tic­u­lar type of cancer is changing over time, researchers calculate survival rates for patients diagnosed in different years. A plot of the survival rates by year of diag­nosis quickly indicates whether survival is remaining the same, improving, or worsening.

The graph in Figure 1 is an example of such a survival plot. It shows SEER’s esti­mates for five-year survival among U.S. multiple myeloma patients, by year of diag­nosis. It includes SEER’s latest survival esti­mate, which is for patients diagnosed in 2010. Prior to this year’s statistical update by SEER, the most recent five-year myeloma survival esti­mate for the U.S. was for patients diagnosed in 2009.

Figure 1
Five-Year Relative Survival of U.S. Multiple Myeloma Patients
By Year of Diagnosis

Multiple myeloma survival, 1975-2010
Source: Surveillance, Epidemiology, and End Results (SEER) pro­gram website, April 16, 2018

The latest SEER survival update reveals that there was little change in the five-year survival of myeloma patients diagnosed in 2010 versus those diagnosed in 2009. The five-year relative survival was 52.9 per­cent for patients diagnosed in 2009 and 53.0 per­cent for those diagnosed in 2010.

Survival increased noticeably, on the other hand, from 2007 to 2008, and again from 2008 to 2009. Survival also climbed regularly throughout the first five years of this century.

Most researchers believe that the im­prove­ments in myeloma survival that have taken place over the past 15 to 20 years have been due to the introduction of new drugs to treat multiple myeloma. The initial survival im­prove­ments were due to the introduction of thalido­mide, Velcade (bor­tez­o­mib), and Revlimid (lena­lido­mide). Survival increases in later years were most likely due to the introduction of Kyprolis (car­filz­o­mib) and Pomalyst (poma­lido­mide, Imnovid), which received regulatory approval in the United States in 2012 and 2013, re­spec­tive­ly.

After the approval of Pomalyst in 2013, there was a lull in U.S. approvals of new myeloma ther­a­pies until 2016, when four new drugs were given the okay by the U.S. Food and Drug Administration: Darzalex (dara­tu­mu­mab), Empliciti (elotuzumab), Ninlaro (ixazomib), and Farydak (panobinostat).

The lull in approvals from 2013 to 2016 could very well be the reason for the pause in myeloma survival im­prove­ments seen in the survival data released yesterday.

The approval lull also could mean that survival updates next year, and in 2020, also may show only modest survival im­prove­ments until the full effect of the 2016 approvals can be seen in the five-year survival results.

Importantly, due to the approvals in 2016 and those likely to come in the next several years, people diag­nosed with multiple myeloma in 2018 may have five-year survival rates as high as 65 or 70 per­cent.

Relative vs. Absolute Survival Rates

The survival rates published by SEER are relative survival rates. These are different than the survival rates typically seen in myeloma research articles, which are absolute survival rates.

It is common in myeloma research studies to find state­ments such as "The five-year survival rate was 60 per­cent." This (absolute) survival rate means that, five years after their myeloma diag­nosis, 60 per­cent of the patients in the study were still alive.

The 60 per­cent absolute survival rate, however, does not put the survival ex­peri­enced by the myeloma patients into perspective. The absolute rate does not say how the survival of patients over the course of the five years compared to the survival of people in the general population who have the same age, gender, and ethnicity.

Relative survival rates, on the other hand, provide such perspective. To put it bluntly, relative survival rates take into account that people without a disease such as multiple myeloma also die.

The relative survival rate is calculated by dividing the absolute survival rate for a group of cancer patients by the absolute survival rate for a similar group of people from the general population.

As an example, take the (fictitious) research study mentioned earlier with the 60 per­cent absolute five-year survival rate. Assume that a large group of people similar in age, gender, and race to those in the study, but from the general population, would have ex­peri­enced an 80 per­cent absolute survival rate over the same five-year period.

In that case, the relative survival rate of the myeloma patients in the study would be 75 per­cent (60/80=0.75, or 75 per­cent).

Absolute and relative survival rates will be very similar for younger myeloma patients, because younger people from the general population do not die that often. Relative survival rates for older myeloma patients, on the other hand, will be higher than their corresponding absolute survival rates.

Survival By Age At Diagnosis, Race, and Gender

Yesterday’s SEER statistical update also included new 2010 five-year cancer survival rates by age, race, and gender. These results make it possible to plot updated summaries of five-year multiple myeloma survival by age (see Figure 2 below), race (Figure 3), and gender (Figure 4).

The updated survival results by age at diag­nosis show that whether someone with myeloma is old or young con­tinues to have a significant impact on their prognosis.

Figure 2
Five-Year Relative Survival of U.S. Multiple Myeloma Patients
By Age At Diagnosis And Year of Diagnosis

Multiple myeloma survival, by age, 1975-2010
Source: Surveillance, Epidemiology, and End Results (SEER) pro­gram website, April 16, 2018

Both relative and absolute survival rates are substantially higher for younger myeloma patients in com­parison to older patients. This pattern was unaltered in the 2010 results that were made available yesterday. From 2009 to 2010, however, there was a slight im­prove­ment in relative survival in older myeloma patients, whereas relative survival dipped slightly in younger patients. It is doubtful, though, whether any of these minor changes from 2009 to 2010 are statistically significant.

(For readers interested in hard numbers, the five-year relative survival in 2010 by age group was: 76.9 per­cent for those aged 20-49 at diag­nosis, 61.2 per­cent for those aged 50-64 at diag­nosis, 53.6 per­cent for those 65-74 years old at diag­nosis, and 35.3 per­cent for those 75 and older at diag­nosis.)

In the case of myeloma survival by race and gender, the new results for 2010 do not alter the survival patterns seen in 2009. Neither race nor gender has a sizable impact on a myeloma patient’s relative survival in either year.

Figure 3
Five-Year Relative Survival of U.S. Multiple Myeloma Patients
By Race And Year of Diagnosis

Multiple myeloma survival, by race, 1975-2010
Source: Surveillance, Epidemiology, and End Results (SEER) pro­gram website, April 16, 2018

Historically, black myeloma patients have usually had higher five-year survival rates than white myeloma patients, and the black survival rates in 2009 and 2010 were higher than the white rates. But the survival rate differences in those years were not especially large: 54.9 per­cent versus 52.6 per­cent in 2009, and 54.3 per­cent versus 52.7 per­cent in 2010.

(The “white” and “black” race designations in Figure 3 and in this article are based on the “White (includes Hispanic)” and “Black (includes Hispanic)” designations used by SEER in its data summaries.)

Gender does not appear to have played a significant role in myeloma survival rates during the 1970s and 1980s, but male survival rates started to outpace female rates in the 1990s. The gender gap in survival rates narrowed during the early 2000s, and was negligible in both 2009 and 2010. In both those years, however, the male five-year survival rate was slightly higher than the female rate (53.5 per­cent versus 52.2 per­cent in 2009, and 53.7 per­cent versus 52.2 per­cent in 2010).

Figure 4
Five-Year Relative Survival of U.S. Multiple Myeloma Patients
By Gender And Year of Diagnosis

Multiple myeloma survival, by gender, 1975-2010
Source: Surveillance, Epidemiology, and End Results (SEER) pro­gram website, April 16, 2018

Photo by victoriapeckham on Flickr – some rights reserved.
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6 Comments »

  • Nancy Shamanna said:

    Another way of looking at the fact that the 5 year survival rate may not have changed between patients diagnosed in 2009 or 2010, might be that there were improvements in diagnostics around that time. For example, the use of serum free light chain tests may have just been coming into play. I know that when I was diagnosed in 2009 (in Canada), the serum free light chain test was not yet in use, and my diagnosis was based on the monoclonal proteins and bone marrow biopsy, as well as other tests such as 24-hour urine. What I am trying to say is that some cases of myeloma must have gone undetected at that time, until the patient was very ill, or even not at all. Considering that now there are estimated to be 30,000 cases per year of myeloma diagnosed in the US (about 10% of that number in Canada, according to the differences in population), a small change in earlier diagnoses could make a big difference in survival outcomes.

    So if more patients were diagnosed between those 2 years than previously, since diagnostics were more accurate, some of the patients newly diagnosed may have been at a later stage of the disease. In order to check this you could look into the diagnostics used at that time, and also the number of patients diagnosed.

  • JimNY said:

    Nancy - An improvement in diagnostic tests normally would be expected to improve survival, as it would make it possible to catch the disease at an earlier stage. In the case of multiple myeloma, this would mean that less organ damage had occurred, which usually is associated with improved survival.

    So I don't think improvements in testing, such as increased use of the serum free light chain test, should be thought of as a factor that would hold myeloma survival down. Quite the opposite.

  • Nancy Shamanna said:

    Hi JimNY - What I meant by my sort of obscure comment was that if a new diagnostic test was introduced, at first more patients might be diagnosed with myeloma than before. For example, some patients do not produce an 'M' protein. So if more patients were diagnosed, then more might be sicker, and the mortality might be higher. If suddenly more patients were diagnosed by percentage in 2010 than in 2009, then it could make a difference in statistics.

    Of course, it is better to get an earlier diagnosis by a new test! Then treatment can be started sooner and less damage may occur to the system. I meant that previously undetected cases of myeloma would now be labelled as such. One wouldn't know this for sure without having more data though.

  • JimNY said:

    Nancy - Yes, a better diagnostic test will increase the number of new myeloma patients diagnosed in a given year. But the issue isn't the impact of the test on the number of new myeloma patients, it's the test's impact on the survival of the patients who are diagnosed.

    The assumption both you and I have made is that a new diagnostic test changes the mix of newly diagnosed patients so that there are more patients with a better prognosis than would happen if you did not have the new test.

    With the new test, you still have all of the patients who would have been diagnosed without the new test. However, you also have some patients who were diagnosed earlier than usual, and thus have a better prognosis than they otherwise would have.

    So your average survival among newly diagnosed patients will improve with the new test, given that the average is a mix of the survival of those who would have been diagnosed with, and without, the new test.

    I don't want to unnecessarily belabor this point, but I also don't want Beacon readers coming away with the impression that introducing better diagnostic tests could hold down survival rates. The effect of better testing is exactly the opposite.

  • Nancy Shamanna said:

    Hi Jim, I just meant that a new diagnostic tool might identify new patients, but that might not have been early in their disease. So it is a gloomy thought, but they might have been quite ill then and not survived well. Some patients do not have markers such as a monoclonal protein to measure. Of course, I am all in favour of having the serum free light chain test. I hope that I did not give the impression that I was not!

  • DougM said:

    Early diagnosis should result in a better survival rate.