Prognosis and survival for prostate cancer

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If you have prostate cancer, you may have questions about your prognosis. A prognosis is the doctor's best estimate of how cancer will affect someone and how it will respond to treatment. Prognosis and survival depend on many factors. Only a doctor familiar with your medical history, the type and stage and other features of the cancer, the treatments chosen and the response to treatment can put all of this information together with survival statistics to arrive at a prognosis.

A prognostic factor is an aspect of the cancer or a characteristic of the person that the doctor will consider when making a prognosis. A predictive factor influences how a cancer will respond to a certain treatment. Prognostic and predictive factors are often discussed together. They both play a part in deciding on a treatment plan and a prognosis.

The following are prognostic and predictive factors for prostate cancer.


Prostate cancer with a lower stage at diagnosis has a more favourable prognosis. Cancer that hasn't spread outside of the prostate at the time of diagnosis has a better prognosis than cancer that has spread outside of the prostate.


The lower the Gleason score the better the prognosis. Prostate cancer with a Gleason score lower than 7 has a more favourable prognosis than prostate cancer with a score of 7 or higher.

Prostate-specific antigen (PSA) level

Some research shows that a higher than normal prostate-specific antigen (PSA) level may indicate a poor prognosis. This is because a high PSA level is linked to a greater risk that prostate cancer will spread.

PSA doubling time

PSA doubling time measures the time it takes the PSA level to double. For example, a PSA doubling time of 3 years means that, on average, the PSA level doubles every 3 years. PSA doubling time can help doctors find out if a prostate cancer is aggressive, which means it is more likely to grow quickly and spread. Shorter doubling times are linked to a worse prognosis.

Risk groups

Doctors may classify prostate cancer into groups based on the risk of the cancer coming back (recurring) after treatment. These risk groups are based on the tumour (T), Gleason score and PSA level. The lower the risk group, the lower the risk of prostate cancer recurring after a radical prostatectomy.

Learn more about risk groups for prostate cancer.


Nomograms are statistical models that predict a probable outcome. They take into account the stage, Gleason score, PSA level, pathology reports based on biopsy samples, use of hormone therapy, radiation dose and other specific information about you, such as your age or treatments you have already received.

The nomograms used to predict a prognosis for prostate cancer include:

Cancer of the prostate risk assessment (CAPRA) nomogram

Doctors use the cancer of the prostate risk assessment (CAPRA) nomogram to help them predict the risk that prostate cancer will spread, predict the risk of dying from prostate cancer and make treatment decisions. This nomogram is based on:

  • the PSA level
  • the Gleason score
  • the percentage of biopsy samples that have cancer
  • the stage
  • your age when you are diagnosed

Partin tables

Partin tables are a nomogram that helps doctors predict the chance that cancer will spread before surgery to remove the prostate. This helps them make treatment decisions. Partin tables are based on the:

  • Gleason score
  • PSA level
  • stage


There is some evidence that those who smoke at the time of diagnosis are more likely to have a biochemical recurrence (also called a biochemical failure) and die from prostate cancer than those who don't smoke. A biochemical recurrence means that the PSA level starts to rise after treatment but there are no other signs of cancer.

Levels of certain chemicals in the blood

The levels of certain chemicals in the blood can predict a worse prognosis in men with metastatic castrate-resistant prostate cancer. They include:

  • high alkaline phosphatase
  • low hemoglobin
  • low albumin
  • high lactate dehydrogenase

Learn more about chemicals measured in the blood.

Genetic signatures

Gene expression profiling is a way to analyze many genes at the same time to see which are turned on and which are turned off. Doctors have found several abnormal gene patterns (called a genetic signature) in prostate cancer. These genetic signatures can help doctors make a prognosis. Some genetic signatures are linked to a better prognosis and better response to treatment. Other genetic signatures are associated with a worse prognosis.

Expert review and references

  • Peter Chung, MBChB, FRCPC
  • Krista Noonan, MD, FRCPC
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  • Tracy, CR. Prostate Cancer. eMedicine/Medscape; 2020:
  • Garnick MB (ed.). Harvard Medical School 2015 Annual Report on Prostate Diseases. 2015.
  • Halabi S, Lin CY, Kelly WK, et al . Updated prognostic model for predicting overall survival in first-line chemotherapy for patients with metastatic castration-resistant prostate cancer. Journal of Clinical Oncology. 2014.
  • Hermanns T, Kuk C, Zlotta AR . Clinical presentation, diagnosis and staging. Nargund VH, Raghavan D, Sandler HM (eds.). Urological Oncology. Springer; 2015: 40: 697-718.
  • PDQ® Adult Treatment Editorial Board. Prostate Cancer Treatment (PDQ®)–Patient Version. Bethesda, MD: National Cancer Institute; 2020:
  • PDQ® Adult Treatment Editorial Board. Prostate Cancer Treatment (PDQ®)–Health Professional Version. Bethesda, MD: National Cancer Institute; 2020:
  • Zelefsky MJ, Morris MJ, Eastham JA. Cancer of the prostate. DeVita VT Jr., Lawrence TS, Rosenberg SA, eds.. DeVita, Hellman, and Rosenberg's Cancer: Principles & Practice of Oncology. 11th ed. Philadelphia, PA: Wolters Kluwer; 2019: 70: 1087-1136.
  • Parker C, Castro E, Fizazi K et al . Prostate cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up . Annals of Oncology . 2020 : 31(9): 1119-1134 .
  • American Cancer Society. Treating Prostate Cancer. 2019:

Survival statistics for prostate cancer

Survival statistics for prostate cancer are very general estimates. Survival is different for each stage.

Medical disclaimer

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