Nomograms to aid in the treatment of prostatic cancer

• US 5,993,388 A
• Filed: 06/25/1998
• Issued: 11/30/1999
• Est. Priority Date: 07/01/1997
• Status: Expired due to Term

• Current Assignee: Michael W. Kattan, Peter T. Scardino
• Original Assignee: Michael W. Kattan, Peter T. Scardino
• Inventors: Scardino, Peter T., Kattan, Michael W.
• Primary Examiner(s): WINAKUR, ERIC FRANK
• Application Number:
  US09/104,218
• Time in Patent Office: 523 Days
• Field of Search: 600/300, 128/897, 128/898, 128/920, 128/923, 128/924
• US Class Current: 600/300
• CPC Class Codes: G06G 1/001 for medical purposes, for biological purposes

Abstract

This invention relates to methods and apparatus for predicting probability of cancer recurrence following radical prostatectomy using predetermined clinical and pathological factors. The invention includes nomograms which can be used preoperatively and postoperatively in patients diagnosed with prostatic adenocarcinoma to aid in selection of an appropriate course of therapy.

Claims

1. A method for predicting a quantitative probability of recurrence of prostatic cancer following radical prostatectomy in a patient diagnosed as having prostatic cancer comprising the steps of:

correlating a selected set of preoperative factors determined for each of a plurality of persons previously diagnosed with prostatic cancer and having been treated by radical prostatectomy with incidence of recurrence of prostatic cancer for each person of said plurality of persons to generate a functional representation of the correlation, wherein said selected set of preoperative factors comprises pretreatment PSA level, combined Gleason grade and clinical stage, wherein said functional representation of the correlation comprises a pretreatment PSA level scale, a clinical stage scale, a combined Gleason grade scale, a points scale, a total points scale, and a predictor scale, and wherein said pretreatment PSA level scale, said clinical stage scale and said combined Gleason grade scale each have values on said scales which can be correlated with values on the points scale, and wherein said total points scale has values which may be correlated with values on the predictor scale;

determining an identical set of preoperative factors for the patient;

matching the patient'"'"'s pretreatment PSA level to a corresponding value on the pretreatment PSA level scale, and determining a first point value from the corresponding value on the points scale;

matching the patient'"'"'s combined Gleason grade to a corresponding value on the combined Gleason grade scale, and determining a second point value from the corresponding value on the points scale;

matching the patient'"'"'s clinical stage to a corresponding value on the clinical stage scale, and determining a third point value from the corresponding value on the points scale;

adding the first, second and third point values together to get a patient total points value;

matching the patient total points value to a corresponding value on the total points scale; and

correlating the corresponding value on the total points scale with a value on the predictor scale to predict the quantitative probability of recurrence of prostatic cancer in the patient following radical prostatectomy.

2. The method of claim 1 wherein the functional representation is a nomogram.

3. The method of claim 2 wherein the nomogram is generated with a Cox proportional hazards regression model.

4. The method of claim 3 wherein the Cox proportional hazards regression model utilizes a Kaplan-Meier method of analysis.

5. The method of claim 2 wherein the nomogram is generated with a neural network model.

6. The method of claim 2 wherein the nomogram is generated with a recursive partitioning model.

7. The method of claim 1 wherein the patient is a pre-surgical candidate.

8. The method of claim 1 wherein the probability of recurrence of prostatic cancer is a probability of remaining free of prostatic cancer five years following radical prostatectomy.

9. The method of claim 1 wherein a recurrence of prostatic cancer is characterized as an increased serum PSA level.

10. The method of claim 9 wherein the increased serum PSA level is greater than or equal to 0.4 ng/mL.

11. The method of claim 1 wherein a recurrence of prostatic cancer is characterized as a positive biopsy, bone scan or the application of further treatment for prostate cancer because of the high probability of subsequent recurrence of the cancer.

12. The method of claim 1 wherein the plurality of persons comprises persons with clinically localized prostate cancer not treated previously by radiotherapy or cryotherapy, and subsequently undergoing radical prostatectomy.

13. The method of claim 1 wherein the selected set of preoperative factors further comprise one or more supplemental factors selected from the group consisting of apoptotic index, maximum cancer length in a core and total length of cancer in the biopsy cores, and said functional representation further comprises one or more supplemental factor scales for each of said one or more supplemental factors, said one or more supplemental factor scales each having values on said scales which can be correlated with the values on the points scale, and wherein said method further comprises the steps of:

determining the patient'"'"'s one or more supplemental factors;

matching the patient'"'"'s one or more supplemental factors to one or more corresponding values on the one or more supplemental factor scales to determine one or more supplemental point values on the points scale; and

adding the one or more supplemental point values to the first, second and third point values to determine the patient total points value.

14. A postoperative method for predicting a quantitative probability of recurrence of prostatic cancer in a patient who has previously undergone a radical prostatectomy comprising the steps of:

correlating a selected set of factors determined for each of a plurality of persons previously diagnosed with prostatic cancer with incidence of recurrence of prostatic cancer for each person of said plurality to generate a functional representation of the correlation, wherein said selected set of factors comprises preoperative PSA level, specimen Gleason sum, prostatic capsular invasion level, surgical margin status, presence of seminal vesicle invasion, and lymph node status, wherein said plurality of persons comprises men having undergone radical prostatectomy, wherein said functional representation of the correlation comprises a preoperative PSA level scale, a specimen Gleason sum scale, a prostatic capsular invasion level scale, a surgical margin status scale, a presence of seminal vesicle invasion scale, a lymph node status scale, a points scale, a total points scale, and a predictor scale, and wherein said preoperative PSA level scale, said specimen Gleason sum scale, said prostatic capsular invasion level scale, said surgical margin status scale, said presence of seminal vesicle invasion scale, and said lymph node status scale each have values on said scales which can be correlated with values on the points scale, and wherein said total points scale has values on said scale which may be correlated with values on the predictor scale;

determining an identical set of factors for the patient;

matching the patient'"'"'s preoperative PSA level to a corresponding value on the preoperative PSA level scale, and determining a first point value from the corresponding value on the points scale;

matching the patient'"'"'s specimen Gleason sum to a corresponding value on the specimen Gleason sum scale, and determining a second point value from the corresponding value on the points scale;

matching the patient'"'"'s prostatic capsular invasion level to a corresponding value on the prostatic capsular invasion level scale, and determining a third point value from the corresponding value on the points scale;

matching the patient'"'"'s surgical margin status to a corresponding value on the surgical margin status scale, and determining a fourth point value from the corresponding value on the points scale;

matching the patient'"'"'s presence of seminal vesicle invasion to a corresponding value on the presence of seminal vesicle invasion scale, and determining a fifth point value from the corresponding value on the points scale;

matching the patient'"'"'s lymph node status to a corresponding value on the lymph node status scale, and determining a sixth point value from the corresponding value on the points scale;

adding the first, second, third, fourth, fifth and sixth point values together to get a patient total points value;

matching the patient total points value to a corresponding value on the total points scale, and

correlating the corresponding value on the total points scale with a value on the predictor scale to predict the quantitative probability of recurrence of prostatic cancer for the patient.

15. The method of claim 14 wherein the selected set of factors further comprises one or more supplemental factors selected from the group consisting of total tumor volume, zone of location of the cancer, p53, Ki-67, p27, level of extraprostatic extension, DNA ploidy status, type of seminal vesicle invasion, clinical stage and lymphovascular invasion and said functional representation further comprises one or more supplemental factor scales for each of said one or more supplemental factors, said one or more supplemental factor scales each having values on said scales which can be correlated with the values on the points scale, and wherein the method further comprises the steps of:

determining the patient'"'"'s one or more supplemental factors;

matching the patient'"'"'s one or more supplemental factors to one or more corresponding values on the one or more supplemental factor scales to determine one or more supplemental point values on the points scale; and

adding the one or more supplemental point values to the first, second, third, fourth, fifth and sixth point values to determine the patient total points value.

16. The method of claim 14 wherein the functional representation is a nomogram.

17. The method of claim 16 wherein the nomogram is generated with a Cox proportional hazards regression model.

18. The method of claim 16 wherein the nomogram is generated with a neural network model.

19. The method of claim 16 wherein the nomogram is generated with a recursive-partitioning model.

20. The method of claim 14 wherein the probability of the recurrence of prostatic cancer is a probability of remaining free of prostatic cancer seven years following radical prostatectomy.

21. The method of claim 14 wherein a recurrence of prostatic cancer is characterized as an increased serum PSA level.

22. The method of claim 14 wherein a recurrence of prostatic cancer is characterized as a positive biopsy, bone scan or the application of further treatment for prostate cancer because of the high probability of subsequent recurrence of the cancer.

23. An apparatus for predicting a quantitative probability of disease recurrence in a patient with prostatic cancer following a radical prostatectomy, wherein the apparatus comprises:

a correlation of preoperative factors determined for each of a plurality of persons previously diagnosed with prostatic cancer and having been treated by radical prostatectomy with incidence of recurrence of prostatic cancer for each person of said plurality of persons wherein said selected set of preoperative factors comprises pretreatment PSA level, combined Gleason grade and clinical stage; and

a means for comparing an identical set of preoperative factors determined from the patient diagnosed as having prostatic cancer to the correlation to predict the quantitative probability of recurrence of prostatic cancer in the patient following radical prostatectomy.

24. A nomogram for the graphic representation of a quantitative probability that a patient with prostate cancer will remain free of disease following radical prostatectomy comprising a plurality of scales and a solid support, the plurality of scales being disposed on said support and comprising a pretreatment PSA level scale, a clinical stage scale, a combined Gleason grade in the biopsy scale, a points scale, a total points scale and a predictor scale, wherein said pretreatment PSA level scale, clinical stage scale and combined Gleason grade scale each have values on said scales, and wherein said pretreatment PSA level scale, said clinical stage scale and said combined Gleason grade scale are disposed on said solid support with respect to the points scale so that each of said values on said pretreatment PSA level scale, said clinical stage scale and said Gleason grade scale can be correlated with values on the points scale, and wherein said total points scale has values on said total points scale and wherein said total points scale is disposed on said solid support with respect to the predictor scale so that said values on said total points scale may be correlated with values on the predictor scale, such that the values on the points scale correlating with the patient'"'"'s pretreatment PSA level, combined Gleason grade, and clinical stage can be added together to yield a total points value, and the total points value can be correlated with the predictor scale to predict the quantitative probability of recurrence.

25. A method to predict a preoperative prognosis in a patient comprising:

determining a set of preoperative factors comprising the patient'"'"'s pretreatment PSA level, clinical stage, and combined Gleason grade;

matching the preoperative factors to the values on the pretreatment PSA level scale, the clinical stage scale and the combined Gleason grade in the biopsy scale of the nomogram of claim 24;

determining a separate point value for each of said preoperative factors;

adding the separate point values together to yield a total points value; and

correlating the total points value with a value on the predictor scale of said nomogram to determine the preoperative prognosis of the patient.

26. The nomogram of claim 24 wherein the solid support is a laminated card.

30. A method for determining a need for an adjuvant therapy in a patient following radical prostatectomy comprising the steps of:

determining a set of factors on the patient, the set of factors comprising the patient'"'"'s preoperative PSA level, specimen Gleason sum, prostatic capsular invasion level, surgical margin status, presence of seminal vesicle invasion, and lymph node status;

matching the set of factors to the values on the preoperative PSA level scale, the specimen Gleason sum scale, the prostatic capsular invasion level scale, the surgical margin status scale, the presence of seminal vesicle invasion scale and the lymph node status scale of the nomogram of claim 26;

determining a separate point value for each of said factors;

adding the separate point values together to yield a total points value; and

correlating the total points value with a value on the predictor scale of said nomogram to determine whether the adjuvant therapy is needed in view of the probability of recurrence.

31. The method of claim 30 wherein the adjuvant therapy comprises radiotherapy.

32. The method of claim 30 wherein the adjuvant therapy is selected from the group of radiotherapy, chemotherapy, hormonal therapy, cryotherapy, interstitial radioactive seed implantation, external beam irradiation, hyperthermia, gene therapy, cellular therapy, tumor vaccines, or systemically delivered biologic agents or pharmaceuticals.

27. An apparatus for predicting a quantitative probability of disease recurrence in a patient with prostatic cancer following a radical prostatectomy, wherein the apparatus comprises:

a correlation of clinical and pathological factors determined for each of a plurality of persons previously diagnosed with prostatic cancer and having been treated by radical prostatectomy with incidence of recurrence of prostatic cancer for each person of said plurality of persons wherein said selected set of factors comprises preoperative PSA level, specimen Gleason sum, prostatic capsular invasion level, surgical margin status, presence of seminal vesicle invasion, and lymph node status; and

a means for comparing an identical set of factors determined from the patient diagnosed as having prostatic cancer to the correlation to predict the quantitative probability of recurrence of prostatic cancer in the patient following radical prostatectomy.

28. A nomogram for the graphic representation of a quantitative probability that a patient with prostate cancer will remain free of disease following radical prostatectomy comprising a plurality of scales and a solid support, the plurality of scales being disposed on said support and comprising a preoperative PSA level scale, a specimen Gleason sum scale, a prostatic capsular invasion level scale, a surgical margin status scale, a presence of seminal vesicle invasion scale, a lymph node status scale, a points scale, a total points scale and a predictor scale, wherein said preoperative PSA level scale, specimen Gleason sum scale, prostatic capsular invasion level scale, surgical margin status scale, presence of seminal vesicle invasion scale, and lymph node status scale each have values on said scales, and wherein said preoperative PSA level scale, said specimen Gleason sum scale, said prostatic capsular invasion level scale, said surgical margin status scale, said presence of seminal vesicle invasion scale, and said lymph node status scale are disposed on said solid support with respect to the points scale so that each of said values on said preoperative PSA level scale, said specimen Gleason sum scale, said prostatic capsular invasion level scale, said surgical margin status scale, said presence of seminal vesicle invasion scale, and said lymph node status scale can be correlated with values on the points scale, and wherein said total points scale has values on said total points scale and wherein said total points scale is disposed on said solid support with respect to the predictor scale so that said values on said total points scale may be correlated with values on the predictor scale, such that the values on the points scale correlating with the patient'"'"'s preoperative PSA level, specimen Gleason sum, prostatic capsular invasion level, surgical margin status, presence of seminal vesicle invasion, and lymph node status can be added together to yield a total points value, and the total points value can be correlated with the predictor scale to predict the quantitative probability of recurrence.

29. A method to predict a postoperative prognosis in a patient following radical prostatectomy, comprising:

determining a set of factors comprising the patient'"'"'s preoperative PSA level, specimen Gleason sum, prostatic capsular invasion level, surgical margin status, presence of seminal vesicle invasion, and lymph node status;

matching the factors to the values on the preoperative PSA level scale, the specimen Gleason sum scale, the prostatic capsular invasion level scale, the surgical margin status scale, the presence of seminal vesicle invasion scale and the lymph node status scale of the nomogram of claim 28;

determining a separate point value for each of said factors;

adding the separate point values together to yield a total points value; and

correlating the total points value with a value on the predictor scale of said nomogram to determine the prognosis of the patient.