國立臺灣大學獸醫專業學院臨床動物醫學研究所 碩士論文
Institute of Veterinary Clinical Science School of Veterinary Medicine
National Taiwan University Master Thesis
CHOP 療程為基礎的化學治療在犬多中心型淋巴瘤的 毒性反應以及腫瘤治療效果間的相關性
Correlation between Toxicity and Antitumor Efficacy of CHOP-based Chemotherapy
in Canine Multicentric Lymphoma
郭璇 Kuo Hsuan
指導教授:李繼忠 博士 Advisor: Jih-Jong Lee, Ph.D.
中華民國 103 年 7 月 July 2014
Abstract
This study was aimed at investigating the correlation between chemotherapy
toxicity and antitumor efficacy in canine multicentric lymphoma. Medical records of 69
dogs with multicentric lymphoma received CHOP-based chemotherapy at National
Taiwan University Veterinary Hospital were reviewed, and impact of bone marrow
toxicity and GI toxicity on time to tumor progression (TTP), overall survival time
(OST), and short-term tumor-killing effect was evaluated. Neutrophil nadir lower than
5000 /μl improved OST (P =0.045). Presence of GI signs, including anorexia, vomiting,
and diarrhea, or presence of only vomiting improved TTP and OST (P =0.042, 0.007 for
TTP; 0.023, <0.001 for OST). Presence of diarrhea of grade 3 or 4 decreased TTP and
OST (P =0.034, 0.017). More than 10 years old was associated with less low-grade GI
toxicities and less favorable outcome. Occurrence of neutropenia or GI toxicity after a
treatment increased the like hood of effective treatment over ineffective treatment,
implying a positive relationship between toxicity and short-term efficacy. The results of
the study supported the concept of toxicity-adjusted dosing, but prospective trials are
warranted to develop a sophisticated toxicity-adjusted dosing regimen.
Key words: chemotherapy, bone marrow toxicity, GI toxicity, lymphoma, CHOP, dogs
摘要
本研究目的為探討犬多中心型淋巴瘤的化療毒性以及療效間的相關性。六十 九隻罹患多中心型淋巴瘤且在國立台灣大學附設動物醫院接受以 CHOP 療程為基 礎的化學治療的犬隻的病歷被回顧,並且分析其中骨髓毒性以及消化道毒性對於 疾病進展時間(Time to tumor progression, TTP),總存活時間(Overall survival time,
OST),以及短期的腫瘤抑制效果的影響。嗜中性球低點小於5000/μl 可增進 OST (P
=0.045)。出現食慾不振、嘔吐、腹瀉其中一種消化道毒性或者僅出現嘔吐皆可增 加 TTP 及 OST (P =0.042, 0.007 對於 TTP; 0.023, <0.001 對於 OST)。出現毒性分級 三或四的腹瀉會降低 TTP 及 OST (P =0.034, 0.017)。年齡超過十歲較不容易出現毒 性分級低的消化道毒性,同時也有較不理想的治療成果。在單次治療後出現嗜中 性球低下或者消化道毒性,會增加該次治療成為有效治療而非無效治療的可能性,
顯示毒性以及短期療效之間存在正向關係。本研究的結果支持依據毒性反應來調 整藥物劑量的概念,但是必須靠前瞻性研究才能建立起完善的依據毒性做劑量調 整的規範。
關鍵字:化學治療,骨髓毒性,消化道毒性,淋巴瘤,CHOP,犬
Table of Contents
Abstract --- I
Table of contents --- II
List of Tables --- VI
List of Figures --- VIII
1. Introduction --- 1
2. Literature Review --- 3
2.1 Canine multicentric lymphoma and CHOP-based chemotherapy --- 3
2.2 Correlation between toxicity and antitumor efficacy of chemotherapy --- 4
2.2.1 Related research in human medicine --- 4
2.2.2 Related research in veterinary medicine --- 8
3. Aim --- 11
4. Materials and Methods --- 12
4.1 Patient selection --- 12
4.2 Chemotherapy protocol --- 12
4.3 Diagnosis and staging --- 14
4.4 Response and toxicity assessment --- 15
4.5 Prognostic factors --- 17
4.6 Long-term analysis --- 18
4.7 Short-term analysis --- 20
4.8 Statistics --- 22
5. Results --- 24
5.1 Patient characteristics --- 24
5.2 Response and toxicity --- 25
5.3 Prognostic factors --- 26
5.4 Long-term analysis --- 28
5.5 Short-term analysis --- 34
6. Discussion --- 36
6.1 Patient characteristics, overall response, and toxicity profile --- 36
6.2 Prognostic factors --- 37
6.3 Long-term analysis --- 38
6.3.1 Neutropenia and efficacy --- 38
6.3.2 GI toxicity and efficacy --- 41
6.3.3 Timing of toxicity during the protocol and efficacy --- 42
6.3.4 Toxicity after different drugs and efficacy --- 43
6.3.5 Frequency of toxicity and efficacy --- 44
6.3.6 Age and GI toxicity --- 45
6.3.7 Confounding factors --- 46
6.3.8 Multivariate analysis --- 46
6.8 Short-term analysis --- 47
6.9 Toxicity-adjusted dosing --- 48
6.10 Limitations --- 50
7. Conclusion --- 52
8. References --- 54
List of Tables
Table 1 Human oncology studies establishing relationship between toxicity and
efficacy. --- 65
Table 2 Selected veterinary studies investigating relationship between toxicity and
efficacy. --- 66
Table 3 The 6-month, maintenance-free, modified version of the University of
Wisconsin (UW)-Madison chemotherapy protocol (UW-25) utilized in this study. --- 67
Table 4 Modified neutropenia grading system based on VCOG-CTCAE v1.0. --- 68
Table 5 Five-digit coding system for long-term analysis. --- 69
Table 6 Neutropenia profile presented as the number and percentage of patients
experienced certain type of toxicity of certain grade. --- 70
Table 7 GI toxicity profile presented as the number and percentage of patients
experienced certain type of toxicity of certain grade. --- 71
Table 8 Median TTP and OST and P values for prognostic factor analysis. --- 72
Table 9 P values for TTP and OST of the 154 groupings in long-term analysis. --- 73
Table 10 Median TTP and OST and P values for 15 groupings regardless of factors of
timing, drug, and frequency. --- 75
Table 11 Intergroup P values for the 4 groupings dividing patients into three groups in
Table 10. --- 77
Table 12 Median TTP and OST and P values for the 3 frequency-adjusted groupings
with P <0.05 and their non-frequency-adjusted counterparts. --- 78
Table 13 Numbers and percentages of patients in different toxicity status of different
age groups, grouping 31110, 41140, 51110, and 51140. --- 79
Table 14 Numbers and percentages of patients in different toxicity status of different
response groups, grouping 11110, 11140, 31110, 41140, 51110, and 51140. --- 80
Table 15 Numbers and percentages of patients in different toxicity status in different
anemia status in grouping 11310. --- 82
Table 16 Results of short-term analysis. --- 83
List of Figures
Figure 1 Kaplan-Meier’s curve for TTP of all patients --- 84
Figure 2 Kaplan-Meier’s curve for OST of all patients --- 84
Figure 3 Kaplan-Meier’s curve for TTP, age --- 85
Figure 4 Kaplan-Meier’s curve for OST, age --- 85
Figure 5 Kaplan-Meier’s curve for TTP, WHO clinical stage --- 86
Figure 6 Kaplan-Meier’s curve for OST, WHO clinical stage --- 86
Figure 7 Kaplan-Meier’s curve for TTP, WHO clinical substage --- 87
Figure 8 Kaplan-Meier’s curve for OST, WHO clinical substage --- 87
Figure 9 Kaplan-Meier’s curve for TTP, anemia --- 88
Figure 10 Kaplan-Meier’s curve for OST, anemia --- 88
Figure 11 Kaplan-Meier’s curve for TTP, response --- 89
Figure 12 Kaplan-Meier’s curve for OST, response --- 89
Figure 13 Kaplan-Meier’s curve for TTP, time to finish the first two cycles --- 90
Figure 14 Kaplan-Meier’s curve for OST, time to finish the first two cycles --- 90
Figure 15 Kaplan-Meier’s curve for OST of grouping 11110 --- 91
Figure 16 Kaplan-Meier’s curve for OST of grouping 11130 --- 91
Figure 17 Kaplan-Meier’s curve for OST of grouping 11140 --- 92
Figure 18 Kaplan-Meier’s curve for TTP of grouping 31110 --- 92
Figure 19 Kaplan-Meier’s curve for OST of grouping 31110 --- 93
Figure 20 Kaplan-Meier’s curve for TTP of grouping 51110 --- 93
Figure 21 Kaplan-Meier’s curve for OST of grouping 51110 --- 94
Figure 22 Kaplan-Meier’s curve for TTP of grouping 41130 --- 94
Figure 23 Kaplan-Meier’s curve for OST of grouping 41130 --- 95
Figure 24 Kaplan-Meier’s curve for TTP of grouping 31140 --- 95
Figure 25 Kaplan-Meier’s curve for OST of grouping 31140 --- 96
Figure 26 Kaplan-Meier’s curve for TTP of grouping 41140 --- 96
Figure 27 Kaplan-Meier’s curve for OST of grouping 41140 --- 97
Figure 28 Kaplan-Meier’s curve for TTP of grouping 51140 --- 97
Figure 29 Kaplan-Meier’s curve for OST of grouping 51140 --- 98
Figure 30 Kaplan-Meier’s curve for TTP of grouping 11310 --- 98
Figure 31 Kaplan-Meier’s curve for OST of grouping 11310 --- 99
Figure 32 Kaplan-Meier’s curve for TTP of grouping 41230 --- 99
Figure 33 Kaplan-Meier’s curve for OST of grouping 41230 --- 100
Figure 34 Kaplan-Meier’s curve for TTP of grouping 41240 --- 100
Figure 35 Kaplan-Meier’s curve for OST of grouping 41240 --- 101
Figure 36 Kaplan-Meier’s curve for OST of grouping 51210 --- 101
Figure 37 Kaplan-Meier’s curve for OST of grouping 31113 --- 102
Figure 38 Kaplan-Meier’s curve for OST of grouping 31143 --- 102
Figure 39 Kaplan-Meier’s curve for TTP of grouping 41143 --- 103
Figure 40 Kaplan-Meier’s curve for OST of grouping 41143 --- 103
1 Introduction
Chemotherapeutic agents cause DNA damage or interfere with specific cell
cycles, thus are most effective on rapid-dividing cells, such as tumor cells,
gastrointestinal epithelium cells, and bone marrow cells. As a result, chemotherapy can
induce both favorable antitumor responses and unfavorable adverse events.
Possible positive correlation between toxicity and antitumor effects has long been
noticed in both human and veterinary oncology practice. In human medicine, the
intensity of chemotherapy toxicity and efficacy have been both linked to
pharmacodynamics in numerous studies with various chemotherapeutic agents and
tumor types. There are also several clinical studies showing patients with hematological
toxicity are prone to have better treatment outcomes. However, relevant clinical analysis
in veterinary medicine is little. As more and more evidence suggested that body surface
area-based dosing, the traditional way to dose chemotherapeutic agents, poorly adapts to
inter-patient variation, toxicity-adjusted dosing may be a supplemental method to
improve dosing accuracy, and more investigation is needed before this approach can be
practically performed.
This study is aimed at retrospectively analyzing the correlation between
chemotherapy toxicity and efficacy in canine multicentric lymphoma, focusing on
gastrointestinal and bone marrow impacts, in both long-term aspect and short-term
aspect, utilizing the medical records of the National Taiwan University Veterinary
Hospital.
2. Literature Review
2.1 Canine multicentric lymphoma and CHOP-based chemotherapy
Lymphoma is the most common hematopoietic neoplasm of dogs. Eighty-four
percent of dogs with lymphoma developed the multicentric form, which is usually
characterized by the presence of superficial lymphadenopathy. Without treatment, most
dogs with lymphoma will die of their disease in 4 to 6 weeks after diagnosis, although
significant variability exists (Vail et al., 2013).
Over the last 30 years, the standard of care for dogs with multicentric lymphoma
has evolved from single-agent chemotherapy protocols to combination chemotherapy protocols. The duration of protocols also changed from indefinite to 6 months or less.
The standard of care combination protocols are now generally recognized as
“CHOP-based” protocols, consisting of cyclophosphamide, hydroxyl-daunorubicin (doxorubicin), Oncovin (vincristine), and prednisone. There are many variations of this
particular combination of drugs. Variations from this protocol include differences in the
order of drug administration, addition of L-asparaginase or methotrexate to the protocol,
slight differences in drug doses, and increased or decreased protocol duration (Chun,
2009). Currently randomized prospective evidence does not strongly recommend one
protocol over the other as long as the basic CHOP components are present.
CHOP-based chemotherapy induces remission in approximately 80%~95% of dogs,
with overall median survival times of 10 to 12 months. Approximately 20% to 25% of
treated dogs will be alive after initiation of these protocols (Vail et al., 2013).
Generally, CHOP-based chemotherapy protocols were well tolerated by dogs with
lymphoma. In a clinical trial using a 6-month, maintenance free, CHOP-based protocol,
22 in 53 (41.5%) dogs requiring a treatment delay or dose modification due to bone
marrow or gastrointestinal toxicities, but only 5 (9.4%) dogs needing hospitalization
(Garret et al., 2002).
Many factors have been shown to influence treatment response and survival of
canine lymphoma. The well-established negative prognostic factors included WHO
clinical stage V, WHO clinical substage b, T-cell phenotype, presence of anemia at
diagnosis, hypercalcemia, and prolonged steroid pre-treatment (Vail et al., 1996;
Khanna et al., 1998; Marconato et al., 2011; Jagielski et al., 2002).
2.2 Correlation between toxicity and antitumor efficacy of chemotherapy
2.2.1 Related research in human medicine
Most studies focusing on both chemotherapy toxicity and antitumor efficacy
investigated the issue of how to dose chemotherapeutic agents precisely. To achieve
maximum tumor-killing effect, the dose should be as high as possible. But concurrent
chemotherapy toxicity sets the limit of dose escalation, since severe toxicity can
compromise life quality or even cause mortalities. In fact, all chemotherapeutic agents
are characterized by a narrow therapeutic window and significant variability in
therapeutic and toxic effects. Current body surface area (BSA)-based dosing regime
fails to adapt to interpatient or intrapatient pharmacodynamic variability, which leads to
unstandardized systemic anticancer drug exposure, despite under the same dose of the
same drug (Hon et al., 1998; Gao et al., 2008).
Hon et al. summarized a substantial amount of studies demonstrating the
relationship between systemic exposure and both efficacy and toxicity (Hon et al.,
1998). Systemic exposure of certain drug was measured by various pharmacokinetic
parameters in different studies, such as systemic clearance, steady-state plasma
concentration (Cpss), and area under the concentration–time curve (AUC). Some of the
studies linked systemic exposure to antitumor efficacy, evaluated by response to
treatment, overall survival time, or disease-free survival time, according to different
study designs, whereas some of the studies linked systemic exposure to toxicity,
including hematological toxicity, gastrointestinal toxicity, and ototoxicity. The majority
of studies focused on hematological toxicity. All of the studies showed a similar result:
the higher systemic exposure, the higher efficacy or toxicity.
The relationship between systemic exposure and both efficacy and toxicity was
investigated most extensively for 5FU, a widely used chemotherapeutic agent. AUC of
5FU was highly correlated with hematological and gastrointestinal toxicities in patients
with head and neck cancer. An AUC threshold value of 30000 µg/L.h was highly
predictive of toxicity (Thyss et al., 1986). The half-cycle and full-cycle AUC (AUC0 –
3days and AUC0–5days) were also higher in toxic than in nontoxic cycles (Santini et al.,
1989). Patients with an average AUC per cycle for all 3 cycles >29 000 µg/L.h
exhibited longer survival (Milano et al., 1994). Note the optimal threshold AUC for
survival being very close to the maximum tolerated AUC for toxicity.
Apart from systemic exposure, some clinical studies directly investigated the
relationship between hematological toxicity and efficacy. Gao et al summarized several
studies associating neutropenia during chemotherapy with increased survival in patients
with several different tumors (Gao et al., 2008). For instance, three studies of
node-positive early breast cancer treated with either cyclophosphamide, methotrexate
and fluorouracil or cyclophosphamide, doxorubicin, and ftorafur demonstrated that low
leukocyte nadir after chemotherapy can lead to increased distant disease-free survival or
overall survival (Poikonen et al., 1999; Saarto et al., 1997; Colleoni et al., 1998).
Studies directly linked non-hematological toxicity with efficacy was sparse. One
study of advanced hepatocellular carcinoma treated with sorafenib showed that
development of grade 3 to 4 diarrhea was associated with increased overall survival
(Koschny et al., 2013). However, sorafenib is a target therapy drug, not a traditional
anticancer drug, thus not fully corresponded to the scope of the current study. Three
studies demonstrated that the occurrence of hand-foot syndrome (HFS), a particular
presentation of skin toxicity, was associated with better outcome in colorectal cancer
patients treated with capecitabine, with or without other chemotherapeutic agents
(Stintzing et al., 2011; Hofheinz et al., 2012; Twelves et al., 2012). Interestingly, in one
of the three studies, gastrointestinal toxicity and diarrhea were significantly more
common in patients with HFS but not often co-incident with hematological toxicities
(Hofheinz et al., 2012).
Human oncology studies establishing relationship between toxicity and efficacy
are summarized in Table 1.
Some studies investigating correlation between toxicity and efficacy explained the
connection by interpatient pharmacodynamic variations (Stintzing et al., 2011; Rankin
et al., 1992; Mayers et al., 2001; Cameron et al., 2003; Di Maio et al., 2005): The
response of cancer cells to chemotherapy depends on a sufficient amount of active drug
reaching the target. These factors also apply to healthy cells. The availability of active
drug at tumor cells or healthy cells is affected by pharmacokinetic factors (ie, the
metabolism, distribution, and catabolism) of drugs, which produce a similar effect in
tumor cells and healthy cells. In addition, some studies also proposed a view of
interpatient genetic variations (Di Maio et al., 2005): The sensitivity of tumor cells and
healthy cells is affected, by genetic predisposition, which can similarly affect both cell
types on the same patient, but is also modified by tumor-specific acquired resistance.
2.2.2 Related research in veterinary medicine
To the author’s knowledge, only two studies in veterinary medicine have
established a positive correlation between chemotherapy toxicity and antitumor efficacy.
The first study retrospectively investigated the impact of chemotherapeutic dose
intensity and hematologic toxicity on first remission duration in dogs with lymphoma
treated with a chemoradiotherapy protocol (Vaughan et al., 2007). The study result
showed that development of grade III or IV neutropenia during chemotherapy was
associated with prolonged first remission duration. The second study implemented a
dose-intense CHOP-based chemotherapy protocol for canine lymphoma, and found that
dogs required dose reductions and treatment delays had significantly longer time to
tumor progression and lymphoma-specific survival times (Sorenmo et al., 2010).
Some other veterinary clinical studies of various cancers included the occurrence
of toxicity in prognostic value analysis, but none have found a relationship between
toxicity and outcome. Four studies of canine lymphoma treated with CHOP-based
chemotherapy showed that toxicity had no influence on either disease-free interval or
overall survival (Simon et al., 2006; Keller et al., 1993; Zemann et al., 1998; Garrett et
al., 2002). The definition of occurrence of toxicity differed from one study to another.
One study regarded toxicity of any grade, according to the Veterinary Co-Operative
Oncology Group’s common terminology criteria for adverse events v1.0 (VCOG-
CTCAE v1.0), as occurrence of toxicity, and recorded number of neutropenic episodes
and degree and number of gastrointestinal toxicosis episodes for evaluation (Simon et
al., 2006). Two studies regarded toxicities that caused treatment change as occurrence
of toxicity (Keller et al., 1993; Garrett et al., 2002), whereas the other study defined
occurrence of toxicity as neutrophil less than 1000 /µl or hospitalization for GI adverse
events (Zemann et al., 1998). As we can see, the criteria for toxicity were relatively
loose in the first study, and stricter in the three latter studies. These differences could
affect the result of analysis. There are also one study of canine appendicular
osteosarcoma and two studies of canine urinary bladder transitional carcinoma finding
that hematological and gastrointestinal toxicity not correlated with outcome (Bacon et
al., 2008; Chun et al., 1997; Marconato et al., 2011). Except one transitional carcinoma
study defined neutropenia as neutrophil less than 2000 /µl, the other two studies utilized
loose toxicity criteria by including toxicities of all grade, according to VCOG- CTCAE
v1.0, into analysis.
Selected veterinary studies investigating relationship between toxicity and efficacy
are summarized in Table 2.
3. Aim
The purpose of this study was to investigate the correlation between chemotherapy
toxicity and antitumor efficacy in canine multicentric lymphoma, in either long-term or
short-term aspect.
4. Materials and Methods
4.1 Patient selection
Medical records of dogs with multicentric lymphoma between January 2000 and
December 2014 at The National Taiwan University Veterinary Hospital were reviewed
retrospectively. Dogs that were cytologically or histologically diagnosed with
multicentric high-grade lymphoma and received CHOP-based chemotherapy for the
treatment of lymphoma without any chemotherapy prior to CHOP were included in the
present study. Dogs that failed to finish at least the first two cycles of CHOP due to
reasons other than lymphoma-related death (ie, tumor progression or severe
chemotherapy toxicity) were excluded from the study.
4.2 Chemotherapy protocol
This study utilized a 6-month, maintenance-free, modified version of the
University of Wisconsin (UW)-Madison chemotherapy protocol (UW-25), which is
provided in Table 3 (Garrett et al., 2002). Dose reductions of 20% to 30% and
3000 /µl or severe gastrointestinal toxicity, depending on the clinician’s preferences and
the patient’s whole body status.
Because of the retrospective nature of the study, protocol adjustments were
frequently seen for the included patients. The standard UW-25 protocol administered
one treatment of vincristine, followed by cyclophosphamide, and again vincristine, and
then doxorubicin; so one full cycle of UW-25 can be abbreviated as VCVA (ie, V for
vincristine, C for cyclophosphamide, and A for doxorubicin). But in this study, dogs
were sometimes treated by a “VCVCA” protocol, or even “VCVCVCA”. The other
frequent protocol adjustments were prolonged treatment intervals and dose reductions
without actual occurrence of hematological or gastrointestinal toxicity. In addition,
there were many premature treatment cessations, by which many patients did not
receive four cycles of chemotherapy. All these protocol adjustments were attributed to
practical requirements, such as client compliance, economic considerations, patient age,
and clinician’s preferences.
The included dogs were treated by 5 different veterinarians, respectively, among
which there was a senior veterinarian being the mentor of all the other 4 veterinarians,
leading to a similar treatment approach for all dogs.
For dogs that went out of remission or became resistant to CHOP protocol, various
rescue drugs were offered, including L-asparginase, lomustine, dacarbazine,
actinomycin D, and DMAC protocol (ie, dexamethasone, melphalan, actinomycin D,
and cytosine arabinoside).
4.3 Diagnosis and staging
Of the 69 dogs included in the study, the diagnosis of lymphoma was made by
biopsy of lymph node in 4 dogs, by aspiration cytology of lymph node in 65 dogs.
All dogs were clinically staged at diagnosis by means of a modification of the
World Health Organization (WHO) 5-stage criteria for canine lymphoma (Owen, 1980).
Dogs were assigned to stage V if neutropenia or circulating lymphoblasts were detected
in peripheral blood. Dogs were assigned to stage IV if no evidence of stage V disease
and hepatomegaly or splenomegaly noted in radiography or ultrasonography, or
heterogeneous texture of liver or spleen noted in ultrasonography. Because of lack of a
standard staging manner of all dogs, some dogs with more advanced lymphoma (stage
V or IV) could be classified as less advanced stage.
4.4 Response and toxicity assessment
Overall response to treatment was classified as complete remission (CR), partial
remission (PR), and no response (NR). The status at which a patient had the least tumor
burden during treatment was taken for evaluation. Complete remission was defined as
disappearance of all target lesions, and any pathological lymph nodes must have
reduction in short axis to <10 mm. Partial remission was defined as at least a 30%
decrease in the sum of diameters of target lesions. Responses other than complete
remission and partial remission was defined as no response.
Besides overall response to treatment, this study documented detailed toxicity and
response during the treatment course. For each treatment, the following data was
recorded: drug, time from diagnosis, gastrointestinal toxicity, hematological toxicity,
response to that treatment, and whether dose reduction or not.
Gastrointestinal toxicities recorded included anorexia, vomiting, and diarrhea, and
graded based on the Veterinary Co-operative Oncology Group common terminology
criteria for adverse events v1.0 (VCOG-CTCAE v1.0). Because anorexia of grade 1 was
difficult to be identified from medical records, none of it was documented. For
treatments that medical records were too obscure to tell the occurrence of GI toxicity, or
actual cause of GI adverse event could not be determined, the corresponding GI toxicity
to that treatment would be assigned as unavailable, and excluded from analysis.
Hematological toxicities recorded included only neutropenia, and graded according
to VCOG-CTCAE v1.0, except that the criteria of grade 1 neutropenia was adjusted to
meet the needs of the study and further sub-graded to grade 1.0 and grade 1.1, as
provided in Table 4. The presence of neutropenia after a treatment would be assigned as
unavailable and excluded from analysis if blood work was not performed in two weeks
after vincristine, cyclophosphamide, and chlorambucil, or four weeks after doxorubicin,
mitoxantrone, lomustine, dacarbazine, and actinomycin D.
Response to a single treatment was classified as complete remission (CR), partial
remission (PR), stable disease (SD), progressive disease (PD), and uncertain response.
Definitions of complete remission and partial remission were similar to that for overall
response evaluation mentioned above. Progressive disease was defined as at least a 20%
increase in the sum of diameters of target lesions, or occurrence of new target lesions,
such as lymphoblasts in peripheral blood. Responses with neither sufficient shrinkage to
Responses not clearly recorded in the medical records were assigned as uncertain
response.
4.5 Prognostic factors
Two endpoints for response were evaluated for prognostic significance. Time to
tumor progression (TTP) was defined as the period of time (in days) from diagnosis to
progressive disease or relapse. Overall survival time (OST) was defined as the period of
time (in days) from diagnosis to death. Patients who lost follow-up were censored on
the last day of contact. Patients still in remission or alive at the end of the study were
censored on the last day of data collection (2014/5/30) for TTP or OST analysis,
respectively.
The clinical factors evaluated for potential prognostic significance included: sex
and neuter status, age (grouped as ≤5 y/o, 6~10 y/o, and ≥11 y/o), body weight (<15 kg
or not), immunophenotype of neoplastic cells if available, WHO clinical stage, WHO
clinical substage, presence of hypercalcemia at diagnosis, presence of anemia at
diagnosis, pre-treatment with steroid, response to treatment (complete remission, partial
remission, or no response), and time to finish the first two CHOP cycles (<80 days or
not).
4.6 Long-term analysis
Long-term analysis investigated the relationship between toxicity and overall
outcome, using time to tumor progression (TTP) and overall survival time (OST) as
endpoints.
Chemotherapy toxicity could happen with different presentation forms (ie,
neutropenia, anorexia, vomiting, and diarrhea), after different drugs, at different time
during the protocol, with various severities (ie, grade 1 to 4), and at various frequencies.
By shifting these variables, the criteria of occurrence of toxicity also changed. For
instance, defining toxicity of any grade after any drugs at any time during the protocol
as occurrence of toxicity is a loose criterion, whereas defining toxicity of higher than
grade 3 happened more than 3 times during the first two cycles as occurrence of toxicity
is a very strict criterion. Setting appropriate criteria might be crucial to establish a
relationship between toxicity and efficacy.
To thoroughly examine the influences of these variables on the appropriateness of
toxicity criteria, this study developed a 5-digit coding system, as provided in Table 5.
The first digit represents different forms of toxicity: 1 stands for neutropenia; 2 stands
for anorexia; 3 stands for vomiting; 4 stands for diarrhea; 5 stands for combined GI
signs, consisting of anorexia, vomiting, and diarrhea. The second digit represents
different timing in the protocol: 1 stands for full course; 2 stands for the first two cycles.
The third digit represents different drugs: 1 stands for all drugs, 2 stands for vincristine;
3 stands for cyclophosphamide; 5 stands for doxorubicin. The fourth digit represents
various toxicity grades: 1 stands for taking toxicity of all grade as occurrence of toxicity;
3 stands for taking only toxicity of high grade as occurrence of toxicity; 4 stands for
dividing patients into no toxicity, low-grade toxicity and high-grade toxicity, with
slightly different threshold between neutropenia and the other GI signs, as shown in
Table 5. Toxicity grade for a patient was assigned as the highest grade along all
treatments under consideration. The fifth digit represents various frequencies: 0 stands
for toxicity occurrence at least once; 3 stands for more than twice; 5 stands for more
than four times.
Each 5-digit code corresponds to a particular toxicity criterion, and patients were
grouped according to these criteria. For example, code 11110 divides patients into two
groups: Patients who experienced at least once neutropenia of any grade at any time
after any drug, and patients who did not. Another example, code 31540 divides patients
into three groups: Patients who experienced at least once vomiting of grade 1 or 2 at any
time after doxorubicin, patients who experienced at least once vomiting of grade 3 or 4
at any time after doxorubicin, and patients who did not experience vomiting at any time
after doxorubicin. Total 360 (5 x 2 x 4 x 3 x 3 =360) groupings were made. After
excluding groupings dividing patients into two groups with less than 5 patients in one
group or dividing patients into three groups with less than 5 patients in two groups, 154
groupings remained. Kaplan-Meier curves of TTP and OST were plotted for the 154
groupings to detect outcome differences.
4.7 Short-term analysis
Short-term analysis investigated the relationship between toxicity and efficacy
caused by the same single treatment, using the toxicity and response records for each
treatment.
Neutropenia of more than grade 1.1 was considered as occurrence of toxicity.
Anorexia, vomiting and diarrhea were evaluated together as combined GI signs, and
toxicity grade of a treatment was assigned as the highest grade within the three. GI
toxicity of any grade was regarded as occurrence of toxicity.
Treatments were categorized as effective treatment, ineffective treatment, and
uncertain treatment based on tumor response. Effective treatments cause partial
remission or the very first complete remission in a row of complete remissions.
Ineffective treatments lead to progressive disease. Treatments with uncertain response,
stable disease, and subsequent complete remission after the initial complete remission
were defined as uncertain treatments.
Whether occurrence of toxicity had impact on the like hood of effective treatment,
ineffective treatment, and uncertain treatment was examined. Treatments were analyzed
either all together, or separately according to drugs, including vincristine,
cyclophosphamide, and doxorubicin.
4.8 Statistics
Differences in outcome (TTP and OST) according to potential prognostic factors
(sex and neuter status, age, body weight, immunophenotype, WHO clinical stage and
substage, presence of hypercalcemia at diagnosis, presence of anemia at diagnosis,
pre-treatment with steroid, response to treatment, and time to finish the first two CHOP
cycles) were assessed by the Kaplan-Meier log-rank test. Factors with a P value <0.05
were regarded as significant prognostic factors.
For long-term analysis, differences in outcome (TTP and OST) according to the
154 groupings were assessed by the Kaplan-Meier log-rank test. For groupings with P
value <0.05, chia-square test was performed to examine the correlation between
grouping and significant prognostic factors. Multivariate Cox regression analysis was
used to evaluate selected groupings with a P value <0.05 and significant prognostic
factors for their independent association with TTP and OST.
For short-term analysis, chia-square test was performed to investigate the
association between occurrence of toxicity and response. Odds ratio of the odds of
effective treatment to ineffective treatment was calculated.
Statistical significance was defined as P < 0.05. All analyses were performed using
SPSS statistical software Version 18.
5. Results
5.1 Patient characteristics
Total 69 dogs were included in this study. Medical records of 175 dogs with
lymphoma were reviewed, and 106 dogs was excluded due to not receiving CHOP
protocol, dropping out of CHOP protocol before the end of the first two cycles, or
incomplete medical record.
≤5 y/o, 6~10 y/o, and ≥11 y/o
Thirty-six dogs were male (24, 34.8%, neutered and 12, 17.4%, intact) and 33 dogs
were female (10, 14.5%, neutered and 23, 33.3%, intact). There were 49 purebred dogs:
Golden Retriever (n=15) was the most common breed represented. Other breeds were
Beagle (n=5), Chihuahua (n=4), Maltese (n=3), Schnauzer (n=3), Shi Tzu (n=3), Bull
terrier (n=2), English Cocker Spaniel (n=2), Corgi (n=2), Labrador Retriever (n=2),
Pomeranian (n=2), Yorkshire Terrier (n=2), Dachshund (n=1), Pug (n=1), Rottweiler
(n=1), and Bichon Frise (n=1). Nineteen dogs were mixed breed dogs. Breed was
unknown for 1 dog. The mean age was 7.5 years (range, 2–14 years), with 21 (30.4%)
dogs ≤5 years old, 34 (49.3%) dogs within 5 to 10 years old, and 14 (20.3%) dogs ≥11
years old. The mean body weight was 18.8 kg (range, 1.9–57.1 kg), with 33 (47.8%)
dogs <15 kg and 36 (52.2%) dogs >15 kg. The immunophenotype of the lymphoma
cells were B-cell type in 22 (32%) dogs, T-cell type in 2 (3%) dogs, and not determined
in 45 (65%) dogs. By WHO clinical staging standards, 33 (48%) dogs were in stage III,
23 (33%) dogs were in stage IV, and 13 (19%) dogs were in stage V. Forty-four (64%)
dogs were in substage a and the 25 (36%) remaining dogs were in substage b. Two (3%)
dogs had hypercalcemia at diagnosis. Twenty-five (36%) dogs were anemic at diagnosis.
Eight (12%) dogs received steroids prior to CHOP protocol.
5.2 Response and toxicity
Forty-six dogs achieved CR, and 19 dogs achieved PR. No response to treatment
was observed in 4 dogs. Total response rate (CR + PR) was 94%. Median time to tumor
progression (TTP) was 185 days (range, 16-831 days). Median overall survival time
(OST) was 282 days (range, 32-841 days). Kaplan-Meier curves of TTP and OST are
shown in Figure 1~2.
Forty-eighty (69.6%) dogs were dead due to lymphoma. Five (7.2%) dogs were
euthanized due to lymphoma progression. Two (2.9%) dogs were dead after seizure and
lymphoma involvement was highly suspected. Nine (13%) dogs lost follow-up, with
median and mean follow-up time 518 and 795 days, respectively. Three (4.3%) dogs
were still alive at the end of the study, with follow-up time 1318, 1745, and 2358 days,
respectively.
Twenty-four dogs (35%) finished the first two cycles less than 80 days, whereas 40
(58%) dogs more than 80 days. Five (7%) dogs were dead due to lymphoma or severe
chemotherapy toxicity before finishing the first two cycles.
Toxicity profile was presented as the number of patients experienced certain type
of toxicity of certain grade, as listed in Table 6~7. The protocol was generally well
tolerated. Anorexia, vomiting, and diarrhea of grade 4, which necessitated
hospitalization, occurred in only 0 (0%), 1 (1%), and 2 (3%) dogs, respectively.
Neutropenia of more than grade 1.1, which necessitated treatment delay, occurred in 47
(50%) dogs, whereas grade 2 and 3 neutropenia occurred in only 10 (15%) dogs. 2 (3%)
dogs were dead due to chemotherapy toxicity.
5.3 Prognostic factors
Age, WHO clinical stage, presence of anemia at diagnosis, response to treatment,
and time to finish the first two CHOP cycles were identified as significant for TTP. Age,
WHO clinical stage, WHO clinical substage, presence of anemia at diagnosis, response
to treatment, and time to finish the first two CHOP cycles were identified as significant
for OST. More than 10 years old was related to worse outcome. WHO clinical stage III,
WHO clinical substage a, absence of anemia at diagnosis, and finishing the first two
cycles >80 days were associated with better outcome. Patients in the three categories of
response to treatment exhibited different outcome, with CR being the best and NR being
the worst. Median TTP and OST and P values according to above factors are provided
in Table 8. Kaplan-Meier curves for TTP and OST of above factors are demonstrated in
Figure 3~14.
Immunophenotype was available for only 24 (35%) dogs. Presence of
hypercalcemia at diagnosis, and pre-treatment with steroid were only noted in 2 (3%)
and 8 (12%) dogs. These three factors were excluded from analysis due to low case
numbers.
5.4 Long-term analysis
In the 154 groupings, statistical significance was found in 9 and 15 groupings for
TTP and OST, respectively. All P values for TTP and OST of the 154 groupings are
provided in Table 9. To best illustrate these results, some groupings were selected and
compared in order to elucidate the influences of the five variables (form of toxicity,
timing during the protocol, drug, toxicity grade, frequency) on the correlation between
toxicity and efficacy.
Form of toxicity and toxicity grade
Table 10 included P values for 15 groupings which set timing during the protocol
as full course, drugs as all drugs, and frequency as at least once (ie, first, second and
fifth digit of coding system fixed to 1). In other words, these 15 groupings focused on
only form of toxicity and toxicity grade, neglecting the other three variables. The
continued part of Table 10 is composed of groupings dividing patients into three groups,
and the exact P values between each group are provided in Table 11.
Based on results of grouping 11110, patients who experienced neutropenia of more
than grade 1.0 (ie, neutrophil <5000 µl) had longer OST (P =0.045) than patients who
did not experience any episode of neutropenia, whereas there was no difference in TTP
(P =0.094). If shifting definition of occurrence of toxicity to neutropenia of more than
grade 2 (ie, neutrophil <1500 µl), as in grouping 11130, differences could be only
observed in the Kaplan-Meier curve for OST (Figure 16), but no statistical significance
was detected in either TTP (P =0.151) or OST (P =0.063). If dividing patients into no
toxicity, low-grade toxicity (grade 1.0 and 1.1) and high-grade toxicity (grade 2 and 3),
as in grouping 11140, statistical difference was found in OST (P =0.044), with actually
only low-grade toxicity group superior to no toxicity group (P =0.039) and high-grade
toxicity group superior to no toxicity group (P =0.005), but no significant differences in
low-toxicity group and high-toxicity group (P =0.055). The Kaplan-Meier curves for
OST for the three neutropenia groupings were demonstrated in Figure 15~17.
Groupings with first digit assigned as 2 examined anorexia and efficacy. The three
anorexia groupings (21110, 21130, and 21140) in Table 10 were all statistical
insignificant. In fact, no statistical significance was found in any anorexia groupings in
the study.
Groupings with first digit assigned as 3, 4, and 5 focused on vomiting, diarrhea and
combined GI signs. In groupings 31110, 41110, and 51110, toxicity of any grade was
considered as occurrence of toxicity, and statistical significance was found in vomiting
and combined GI signs, but not diarrhea, for TTP (P =0.042 and 0.007) and OST (P
=0.023 and <0.001). If shifting definition of occurrence of toxicity to toxicity of more
than grade 3, as in groupings 31130, 41130, and 51130, differences were only detected
in diarrhea groupings for both TTP (P =0.034) and OST (P =0.017), and in contrary to
the study’s hypothesis of toxicity improving efficacy, patients who experienced diarrhea
of more than grade 3 exhibited poorer outcome. The Kaplan-Meier curves of the above
groupings with P value <0.05 were shown in Figure 18~23. After dividing patients into
no toxicity, low-grade toxicity (grade 1 and 2) and high-grade toxicity (grade 3 and 4),
as in grouping 31140, 41140, and 51140, statistical significance was found in diarrhea
and combined GI signs for TTP (P =0.015 and 0.017) and OST (P =0.004 and 0.001),
and in vomiting for OST (P =0.04). Looking into the Kaplan-Meier curves, as shown in
Figure 24~29 for these groupings, one can tell that low-toxicity groups performed
better than no toxicity groups, but high-toxicity groups diminished the favorable
prognostic value of toxicity, leading to similar or worse outcome comparing to no
toxicity or low-grade toxicity groups. Detailed intergroup P values for those groupings
are provided in Table 11. Patients with high-grade vomiting or combined GI signs had
similar outcome to patients with low-grade vomiting or combined GI signs, although
poorer outcome in high-grade toxicity group could be subjectively observed in the
Kaplan-Meier’s curves; Patients with high-grade diarrhea had poorer outcome than both
patients with low-grade diarrhea and no diarrhea.
Timing during the protocol
No groupings focusing on only toxicities appeared in the first two cycles of the
protocol (ie, the second digit assigned as 2) showed statistical significance.
Drugs
Among groupings that focusing on particular drug (ie, the third digit assigned as 2,
3, or 5), statistical significance was found for TTP and OST in grouping 11310 (P
=0.042 and 0.019), 41230 (P =0.022 and 0.015), and 41240 (P =0.031 and 0.014), and
for only OST in grouping 51210 (P=0.03). The results of grouping 11310 suggested that
patients who experienced neutropenia of more than grade 1.0 after cyclophosphamide
had better outcome. The results of grouping 41230 and 41240, which defined
occurrence of toxicity as diarrhea of more than grade 3 after vincristine or divided
patients into 3 groups according to diarrhea grading after vincristine, were similar to the
results of diarrhea groupings in the previous section: diarrhea of high grade was
associated with poorer outcome. The results of grouping 51210 suggested that patients
who experienced anorexia, diarrhea, or vomiting of more than grade 1 after vincristine
had longer OST, but not TTP. The Kaplan-Meier curves for these four groupings with P
value <0.05 were provided in Figure 30~36.
Frequency
Among groupings that examined if frequency of toxicity is a determinant (ie, the
fifth digit assigned as 3 or 5), statistical significance was found for OST in grouping
31113 (P =0.015) and 31143 (P =0.014), and for TTP and OST in grouping 41143 (P
=0.045 and 0.019). The results of these three groupings were similar to their
non-frequency-adjusting counterparts (ie, 31110 for 31113, 31140 for 31143, and 41140
for 41143): In grouping 31113, patients who experienced vomiting of any grade more
than three times exhibited better outcome, as in grouping 31130; In groupings 31143
and 41143, patients who experienced vomiting or diarrhea of grade 1 or 2 more than
twice had better outcome than patients who did not experience vomiting or diarrhea
more than twice, but patients who experienced vomiting or diarrhea of grade 3 or 4
low-grade toxicity group, as in grouping 31140 and 41140. Table 12 listed P values of
the three above-mentioned groupings and their no frequency-adjusting counterparts.
Figure 37~40 showed the Kaplan-Meier curves with P value <0.05.
For all grouping with P value <0.05, excluding drug-specific groupings (ie, the
third digit assigned as 2, 3, or 5) and frequency-adjusting groupings (ie, the fifth digit
assigned as 3 or 5), chia-square test was performed to examine the correlation between
grouping and significant prognostic factors. Age, response to treatment and anemia
were found to be associated with some of these groupings: Age was correlated to
grouping 31110, 31140, 41140, 51110, and 51140 (P =0.015, 0.016, 0.016, 0.028, and
0.009); Response to treatment was correlated to grouping 11110, 11130, 31110, 41110,
51110, and 51140 (P =0.004, <0.001, 0.006, 0.001, < 0.001, and 0.001); Anemia was
correlated only to grouping 11310 (P =0.022). P values and percentages of the above
comparisons, are listed in Table 13~15. As demonstrated in Table 13~14, more than 10
years old was associated with lower percentage of toxicity in grouping 31110, and
lower percentage of low-grade toxicity in grouping 31140, 41140, and 51140, whereas
CR was related to higher percentage of toxicity in grouping 11110, 31110, and 51110,
higher percentage of low-grade toxicity in grouping 41140 and 51140, and higher
percentage of both low-grade and high-grade toxicity in grouping 11140. These results
indicated that the connections found was plausible: More than 10 years old, a negative
prognostic factor, was with less patients in the favorable toxicity group; CR, a positive
prognostic factor, was with more patients in the favorable toxicity group.
In multivariate analysis, all groupings with P value <0.05, excluding drug-specific
groupings and frequency-adjusting groupings, and all significant prognostic factors
were included for Cox regression. For both TTP and OST, WHO clinical stage, time to
finish the first two cycles of the protocol, and grouping 11140 (ie, neutropenia, dividing
into no toxicity, low-grade toxicity and high-grade toxicity groups) remained statistical
significance (P <0.001, =0.011, and 0.008 for TTP; P <0.001, = 0.002, and 0.001 for
OST).
5.5 Short-term analysis
In short-term analysis for neutropenia, statistical differences were detected in
comparisons including treatment with all drugs (P =0.008) and with only vincristine (P
=0.013). Odds ratio of the odds of effective treatment to ineffective treatment were 0.33
and 0.23, respectively, demonstrating that with occurrence of neutropenia, effective
treatment was more likely to happen than ineffective treatment.
In short-term analysis for combined GI signs, statistical differences were detected
in comparisons including treatment with all drugs, with vincristine, or with
cyclophosphamide (P <0.001, <0.001, and =0.003). Odds ratio of the odds of effective
treatment to ineffective treatment were 0.53, 0.56, and 0.42, respectively, demonstrating
that with occurrence of GI toxicity, effective treatment was more likely to happen than
ineffective treatment.
Table 16 listed all the P values and odds ratios in the short-term analysis.
6. Discussion
6.1 Patient characteristics, overall response, and toxicity profile
The patient characteristics of this study resembled clinical experiences at the
author’s hospital, with stage III and substage a the most common, anemia sometimes
observed, and hypercalcemia very rare. Besides the low incidence of hypercalcemia, the
patient characteristics were also comparable to many lymphoma studies (Zemann et al.,
1998; Hosoya et al., 2007; Garrett et al., 2002; Moore et al., 2001; Chun et al., 2000;
Simon et al., 2006).
The response rate of this study was 94%, coincident with 80-95% by other
CHOP-based protocols, where as median OST was 282 days, similar to or slightly less
than the survival time of 10-12 months by other CHOP-based protocols (Vail et al.,
2013).
The toxicity profile was comparable to the other study using the same 6-month,
maintenance free, CHOP-based protocol as this study (Garret et al., 2002). In this study,
only 2 (3%) dogs developed GI sign of grade 4 and were hospitalized, and treatment
delay consequent to neutropenia occurred in 47 (50%) dogs. In the study by Garret et al.,
5 (9.4%) dogs needed hospitalization and 53 (41.5%) dogs required treatment delays. In
addition, the toxicity profile also resembled clinical experiences at the author’s hospital.
6.2 Prognostic factors
The previously proved prognostic factors, such as WHO clinical stage, WHO
clinical substage, anemia, and response to treatment were also established as of
prognostic significance in this study. The other two prognostic factors in this study, age
and time to finish the first two cycles of the protocol, were somehow inconsistent
findings comparing to previous studies.
The result for WHO clinical stage was slightly different from the well-confirmed
connection of stage V disease and poor outcome. Instead, better outcome was associated
with stage III, superior to stage IV and V. This deviation could due to lack of
standardized staging tests for each patient, thus falsely assigning patients to lower
stages. Particularly, because no bone marrow aspiration was performed in any patients
in this study, many stage V diseases could be underestimated as stage IV.
It is a common clinical observation at the author’s hospital that patients with very
young age (ie, < 2 y/o) were prone to have poor outcome. But only few studies have
proposed that older patients were more likely to have poorer outcome (Zemann et al.,
1998; Hosoya et al., 2007; Myers et al., 1997). The majority of lymphoma studies
showed that age was not a significant prognostic factor (Valerius et al., 1997; Hahn et
al., 1994; Keller et al., 1993; Kiupel et al., 1999; Price et al.,1991; MacEwen et al.,
1987; Greenlee et al., 1990; Garrett et al., 2002; Simon et al., 2006; Moore et al., 2001).
Finishing the first two cycles of the protocol >80 days was associated with better
outcome. This finding was in contrast to some theories that supported high-intensity
chemotherapy (Sorenmo et al., 2010). Finishing the first two cycles >80 days could be
caused by toxicities and consequent treatment delays, but the chia-square tests
performed in long-term analysis did not find any correlation between toxicity and time
to finish the first two cycles. More aggressive treatment could also be implemented for
more advanced disease, but hard to be verified from the current data.
6.3 Long-term analysis
6.3.1 Neutropenia and efficacy
Based on the findings of this study, setting a threshold of neutrophil <5000 /µl
could differentiate patients from having longer OST to shorter OST (P =0.043), whereas
a threshold of neutrophil <1500 /µl had weaker power of differentiation (P =0.063).
Setting an appropriate neutropenia threshold could be crucial to finding a connection
between neutropenia and efficacy. In the other two veterinary studies establishing a
relationship between toxicity and efficacy, thresholds of neutropenia were set as <1000
/µl (Vaughan et al., 2007) and <1500 /µl (Sorenmo et al., 2010), respectively. It would
be informative to know how the results of the two previous studies would change by
shifting threshold to 5000 /µl.
The result that neutrophil <1500 /µl was a weaker threshold than neutrophil <5000
/µl might suggest that high-grade neutropenia is not more favorable than low-grade.
This was similar to the conclusion of a human lung cancer study (Di Maio et al., 2005)
that the presence, but not severity, of chemotherapy-induced neutropenia were
prognostic for increased survival. However, in the Kaplan-Meier curve for OST of
patients dividing into no toxicity, low-grade toxicity, and high-grade toxicity (Figure
17), the trend of high-grade toxicity performing the best and no toxicity performing the
worst could be observed, while statistical significance was only detected between no
toxicity group and low-grade toxicity group (P= 0.039), and no toxicity group and
high-grade toxicity group (P=0.005), but not low-grade toxicity group and high-grade
toxicity group (P =0.055), with a P-value slightly exceeded 0.05. These findings
provided weak evidence of severe toxicity ensuring even better outcome, and strictly
speaking left the question unanswered. Nevertheless, since no neutropenia-related
illness or mortality occurred in this study, and theoretically severity of neutropenia
parallels systemic exposure and thus tumor-killing effect, high-grade toxicity leading to
even better outcome could be a plausible result.
Another study of human breast cancer (Cameron et al., 2003) showed that only
moderate neutropenia (grade 1~3, neutrophil ranged from lower normal limit to 500 /µl)
was associated with increased survival, while grade 4 (neutropenia <500 /µl)
neutropenia produced similar outcome as no neutropenia. It should be noted that grade 4
neutropenia never occurred in this study, and the range of moderate neutropenia of the
human breast cancer study was identical to low-grade plus high-grade neutropenia in
this study, so that the results of the two studies were actually comparable.
6.3.2 GI toxicity and efficacy
Vomiting and combined GI signs were found to be strong determinants for better
outcome, while diarrhea was a weak determinant and anorexia was not a determinant.
To the author’s knowledge, this is the first report in the veterinary literature establishing
the correlation between GI toxicity and antitumor efficacy. The inconsistence between
anorexia and other GI signs could be explained by the fact that the actual causes of
anorexia are difficult to decide, so that episodes of anorexia not secondary to
chemotherapy may be easily misinterpreted as chemotherapy toxicities. The intense
negative impact of high-grade diarrhea on outcome, as illustrated in the following, made
diarrhea a weaker determinant than vomiting and combined GI signs.
The strongest statistical significance (ie., P<0.001) of all groupings was found in
two combined GI signs groupings, grouping 51110 and 511140. The result could
suggest that evaluating all GI signs together was a better method to assess toxicity. As
the same injuries to GI tract could present as various clinical signs, assessing different
GI signs separately could fail to demonstrate true significance.
In contrast to neutropenia, high-grade GI toxicity was proved not to produce even
better outcome. High-grade vomiting and combined GI signs led to shorter TTP or OST
than low-grade toxicity, and high-grade diarrhea led to shorter TTP and OST outcome
than both no diarrhea and low-grade diarrhea. These findings illustrated the intrinsic
difference between bone marrow toxicity and GI toxicity: GI toxicity is related to more
morbidity and mortality, and overall body condition would be compromised following
severe GI clinical signs, thus prevent favorable outcome.
6.3.3 Timing of toxicity during the protocol and efficacy
Tumor cells, but not normal cells, are recognized as capable of developing
resistance to chemotherapeutic agents gradually along treatments (Gupte et al., 2013).
According to this theory, a drug at certain dose could cause sufficient systemic exposure
and thus toxicity and antitumor efficacy after the initial treatments, but as resistance
developed, only toxicity remained without concurrent efficacy. However, this scenario
did not take place in this study, because timing of toxicity was not proved to be
significant for outcome. An identical result was also found in a human colorectal cancer
study (Hofheinz et al., 2012), showing that patients developing skin toxicity during the
first two cycles of treatment had no better outcome than patients with late skin toxicity.
In fact, several patients in this study exhibited frequent toxicity after initial treatments,
but gradually no toxicity in the remaining protocol. This change could be the
consequences of disease stabilization, but it was uncertain whether resistance to
chemotherapy of normal cells did exist and played a role.
6.3.4 Toxicity after different drugs and efficacy
In current literature, the principles of toxicity enhancing efficacy are mostly
believed to be associated with either interpatient pharmacodynamics variations or
common sensitivity of neoplastic and normal cells to various drugs. Consequently, it
was not anticipated that toxicity by a particular drug would have more significance than
by other drugs. In this study, only 4 drug-specified groupings had P values <0.05.
Three of the 4 groupings were focused on vincristine, and all had non-drug-specified
counterparts with P value <0.05. Considering that vincristine was the most commonly
administered drug, the findings in these 3 drug-specified groupings could be just
reflecting the significance found in the 3 non-drug-specified counterparts.
6.3.5 Frequency of toxicity and efficacy
By examining the influence of frequency of toxicity on the relationship between
toxicity and efficacy, this study tried to answer two questions: Firstly, whether
frequency was a determinant for better outcome, in other words, whether only single
episode of certain toxicity was sufficient to improve survival; Secondly, if single
episode of certain toxicity ensures favorable outcome, whether more episodes ensure
even longer survival.
Since the no groupings changed from insignificant to significant after adding
frequency conditions, a conclusion could be derived that single episode of toxicity could
be sufficient. In the three frequency-adjusting groupings with P values <0.05, no
survival benefit was observed over their non-frequency-adjusting counterparts.
However, because setting higher frequency leads to fewer patients in the toxicity groups,
sampling bias could be amplified, and this limitation leaves the seconds question not
elucidated. Theoretically, if occurrence of toxicity equals effective tumor killing, then
frequent toxicity equals multiple effective tumor killings. It is straightforward that
multiple effective tumor killings are beneficial to patients with gross disease, but for
patients in remission, whether multiple effective tumor killings are advantageous or
redundant was hard to determine.
6.3.6 Age and GI toxicity
In the chia-square tests performed in long-term analysis in the study, older patients
were observed to have less low-grade GI toxicity. Baum et al demonstrated that the
number of proliferating cells in canine intestine epithelium decreased during aging, but
only weak correlation was found (Baum et al., 2007). It was speculated that due to
lower proliferation rate of GI mucosa cells of older patients, they were more resistant to
chemotherapy. However, only less low-grade GI toxicity, but not less GI toxicity of all
grades was found in older patients, so that the above explanation is still far from
satisfactory.
6.3.7 Confounding factors
More than 10 years old was associated less low-grade GI toxicity and poorer
outcome. If more than 10 years old was a solid negative prognostic factor for canine
lymphoma, then the result of low-grade GI toxicity producing better outcome could be
just caused by confounding, with age being the confounding factor. Under this
circumstance, the established relationship between GI toxicity and efficacy would be
less credible. However, since more than 10 years old is not a solid negative prognostic
factor for canine lymphoma, GI toxicity could also be the confounding factor, creating a
spurious connection between age and outcome. The actual causal relationship could not
be determined in this study.
CR was associated with more bone marrow and GI toxicity and better outcome.
Since the impact of response to treatment on survival is rather straightforward, and in
some studies response to treatment were also chosen as endpoints, it was not a concern
if response to treatment was a confounding factor of toxicity and outcome.
6.3.8 Multivariate analysis