24.12.2012 Views

Annual Meeting Proceedings Part 1 - American Society of Clinical ...

Annual Meeting Proceedings Part 1 - American Society of Clinical ...

Annual Meeting Proceedings Part 1 - American Society of Clinical ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

232s Gastrointestinal (Colorectal) Cancer<br />

3617 General Poster Session (Board #36F), Mon, 8:00 AM-12:00 PM<br />

Relationship between genetic markers and quality <strong>of</strong> life (QOL) in stage III<br />

colon cancer (CC) patients (pts) prior to adjuvant treatment (N0147).<br />

Presenting Author: Jeff A. Sloan, Mayo Clinic, Rochester, MN<br />

Background: In metastatic colorectal cancer (CRC), previous studies suggested<br />

potential relationships between certain drug metabolizing (DM)<br />

genes (DPYD, ERCC2, GSTP1 and TYMS) and QOL prior to receipt <strong>of</strong><br />

chemotherapy (Sloan, Plenary Session ASCO 2004). The current study is<br />

the first to examine relationships between similar DM genes and QOL in<br />

stage III CC pts. Methods: 1,583 CC pts on a randomized adjuvant stage III,<br />

phase III trial received FOLFOX, FOLFIRI, or either �/- Cetuximab.<br />

Genomic DNA and baseline QOL data via linear analogue self assessment<br />

(LASA) scales with 4 QOL variables were obtained. 53 DM SNPs were<br />

selected for known functional effect within potential regulatory sites.<br />

Two-sample t-tests assessed differences in QOL between pts with variants<br />

and wild-type status. Differences <strong>of</strong> at least 10 points on a 0-100 point<br />

QOL score were considered clinically significant. Results: 14 relationships<br />

between DM genes and QOL were detected at the nominal p � 0.05 level;<br />

six <strong>of</strong> these were related to DPYD, ERCC2, GSTP1 and TYMS. Relationships<br />

were also observed at the 0.05 level with polymorphisms <strong>of</strong> genes DPYS,<br />

ERCC1, MGMT, MTHFR, OPRT and UGT1A1 based on unadjusted and<br />

adjusted association tests. GSTP1 I105V and OPRT 5’UTR 28 A�G<br />

markers differed on fatigue scores (p�0.04, 0.005, respectively). Variants<br />

on MTHFR R594Q were associated with higher mental acuity scores<br />

(p�0.02). These relationships remained after adjusting for age, gender,<br />

race, T stage, PS, disease site, lymph nodes involved, and grade. The<br />

robustness <strong>of</strong> the observed associations varied with the multiple comparison<br />

adjustment method. Conclusions: Similar to the earlier study <strong>of</strong> stage IV<br />

CRC, we observed a possible relationship in pts with Stage III CC with<br />

regard to DM genes and QOL, although these relationships were more<br />

modest than observed in Stage IV pts. These DM genes may be in linkage<br />

disequilibrium with other genetic variants that more directly affect behavior<br />

and QOL. Further genome wide association studies are needed to clarify<br />

these relationships.<br />

3619 General Poster Session (Board #36H), Mon, 8:00 AM-12:00 PM<br />

Comparison <strong>of</strong> incidence and patterns <strong>of</strong> recurrence in colon cancer (Cca)<br />

treated by sentinel lymph node (SLN) mapping (M) versus conventional surgery.<br />

Presenting Author: Mohammed Saifullah Shaik, Hurley Medical Center/<br />

Michigan State University, Flint, MI<br />

Background: Recurrence <strong>of</strong> Cca patients (pts) depends on the initial stage at<br />

diagnosis. SLNM upstages more pts than conventional surgery (Conv. Surg.) for<br />

nodal metastasis, this might have an impact on the incidence and pattern <strong>of</strong><br />

recurrence. Hence comparative study was undertaken for recurrence in Cca pts<br />

undergoing SLNM Vs Conv.Surg. Methods: Group (Gp) A pts underwent SLNM<br />

with 1% Lymphazurin. The first 1-4 blue nodes were marked as SLNs followed by<br />

standard oncologic resection. Gp B pts underwent Conv. Surg. Data was<br />

collected for, TNM staging, Recurrence sites and follow up treatment. Minimum<br />

follow up <strong>of</strong> all pts was 12 month, with mean follow up period 44 months for both<br />

Gps. Results: There were 357 pts in GpA and 466 pts in GpB. For GpA pts, SLNM<br />

was successful in 99.6% <strong>of</strong> pts with average (Avg.) SLN was 2.8/pts. Avg. no. <strong>of</strong><br />

LNs in GpA was 15.4/pts vs. 12.8/pt in GpB (p�0.001). For GpA pts, 46% was<br />

LN �ve vs 34% in GpB . Excluding T0, Tis and M1 pts at diagnosis, recurrence<br />

was calculated for 313 pts in GpA vs. 314 pts in GpB. An overall recurrence was<br />

7.9% in GpA vs 22.2% (p�0.001) in GpB with distant mets being most common<br />

in both Gps. Recurrence <strong>of</strong> LN �ve and LN –ve pts also were significantly lower<br />

in GpA vs GpB (Table). The pattern <strong>of</strong> recurrence between the two Gps is shown<br />

in the Table. Conclusions: SLNM upstages significantly more pts in Cca than<br />

conv. surg. Even though pattern <strong>of</strong> recurrence was similar in both Gps, better<br />

staging may have resulted in better treatment, reducing the recurrence in SLNM<br />

Gp. Hence SLNM may be beneficial for Cca surgery.<br />

Node �ve<br />

Node -ve<br />

Gp. A Gp. B<br />

Gp. A Gp. B<br />

(SLN) (Conv.)<br />

(SLN) (Conv.)<br />

T-Stage<br />

1A. Incidence <strong>of</strong> recurrence<br />

(# 112) (# 112) p°-value T-Stage (# 201) (# 202) p°-value<br />

T-1 0 1 T-1 0 8<br />

T-2 1 2 T-2 1 4<br />

T-3 16 30 T-3 4 14<br />

T-4 0 6 T-4 3 5<br />

Total * 17 39 0.008 Total * 8 31 0.0005<br />

(15%) (34.8%)<br />

(4%) (15.3%)<br />

1B. Patterns <strong>of</strong> recurrence. Gp. A Gp. B<br />

Local 1 (4%) 5 (7.1%)<br />

Regional (Reg) 4 (16%) 12 (17%)<br />

Distant 20 (80%) 53 (76%)<br />

Total number <strong>of</strong> recurrences Gp A Gp B<br />

Local 1 (3%) 5 (6%)<br />

Reg. lymph node and s<strong>of</strong>t tissue 5 (15%) 16 (20%)<br />

Liver 13 (35%) 31 (37.3%)<br />

Lung 11 (30%) 10 (12%)<br />

Bone 1 (3%) 4 (4.8%)<br />

Peritoneum 0 (0%) 2 (2.4%)<br />

* Pts with Tis/T0/M1 disease were excluded (Gp A�41; Gp B� 61); ° Chi-square test.<br />

3618 General Poster Session (Board #36G), Mon, 8:00 AM-12:00 PM<br />

Pharmacogenetic pr<strong>of</strong>iling for oxaliplatin-based adjuvant chemotherapy<br />

(CT) benefit in stage II-III colon cancer (CC) patients: A GEMCAD study.<br />

Presenting Author: Jaime Feliu, Department <strong>of</strong> Medical Oncology, La Paz<br />

University Hospital, Madrid, Spain<br />

Background: Identifying molecular biomarkers for tumour recurrence is<br />

critical in successfully selecting early-stage CC patients who are more likely<br />

to benefit from adjuvant CT. We tested whether single nucleotide polymorphisms<br />

(SNP) within genes involved in biological pathways <strong>of</strong> interest for<br />

CC progression and treatment resistance would predict the risk <strong>of</strong> recurrence<br />

in stage II-III CC patients treated with oxaliplatin and fluoropyrimidines-based<br />

adjuvant CT. Methods: Genomic DNA was extracted from<br />

formalin-fixed paraffin-embedded samples from 202 surgically treated<br />

high-risk stage II (29.7%) and stage III (70.29%) CC patients receiving<br />

adjuvant CT (25.24% FOLFOX, 74.75% XELOX) from January 2004 to<br />

December 2008. Minimum follow-up was 36 months. Genotyping was<br />

performed for 62 SNPs in 31 genes using the MassARRAY (SEQUENOM)<br />

technology. Our results were validated in an independent cohort <strong>of</strong> 177<br />

stage II-III CC. Results: After a median follow-up <strong>of</strong> 51.4 months (7-96), 63<br />

patients (31.18%) had experienced a relapse and 31 (15.34%) had died.<br />

Three-year disease-free survival (DFS) and overall survival (OS) were<br />

72.2% (�/-0.032) and 89.1% (�/-0.022), respectively. Multivariate<br />

analysis showed that the risk <strong>of</strong> recurrence for patients with the E-selectine<br />

rs3917412 G�A G/G genotype was higher than for those with any A allele<br />

genotype [relative risk (RR): 2.02, 95% confidence interval (CI): 1.09-<br />

3.73, p�0.024]. In haplotype analysis, patients harboring the E-selectine<br />

rs3917412 G�A G/G and methylentetrahydr<strong>of</strong>olate reductase (MTHFR)<br />

rs1801133 C�T T/T haplotype had a higher risk <strong>of</strong> developing tumor<br />

recurrence compared to the E-selectine rs3917412 G�A any A and/or<br />

MTHFR rs1801133 C�T any C haplotype (RR: 3.39, 95% CI, 1.51-7.62,<br />

p�0.003). The ability to predict recurrence <strong>of</strong> this combined analysis was<br />

independently validated in the second cohort (RR: 3.75, 95% CI, 1.32-<br />

10.68, p�0.013). Conclusions: E-selectine and MTHFR SNPs were found<br />

to be independent prognostic markers for stage II-III CC patients, suggesting<br />

that this combined analysis provides additional prognostic information<br />

to that <strong>of</strong>fered by clinicopathologic variables.<br />

3620 General Poster Session (Board #37A), Mon, 8:00 AM-12:00 PM<br />

Effect <strong>of</strong> perioperative complications on recurrence and survival after<br />

resection <strong>of</strong> hepatic colorectal metastases: Analysis <strong>of</strong> data from a<br />

randomized controlled trial. Presenting Author: Camilo Correa-Gallego,<br />

Memorial Sloan-Kettering Cancer Center, New York, NY<br />

Background: Perioperative outcomes such as blood loss, transfusions and<br />

morbidity have been associated with cancer specific survival, but this is<br />

unsupported by prospective data. Methods: Patients were derived from a<br />

previously reported prospective randomized trial <strong>of</strong> acute normovolemic<br />

hemodilution (ANH) versus standard management during major hepatectomy.<br />

Patients with metastatic colorectal cancer (mCRC) were selected for<br />

analysis. Chemotherapy and survival data were obtained from the medical<br />

record. Disease extent was measured using a clinical risk scoring (CRS)<br />

system. Log-rank test and Cox proportional hazard model were used to<br />

evaluate recurrence free (RFS) and overall survival (OS). Results: This trial<br />

enrolled 130 patients, 90 <strong>of</strong> whom had mCRC. Median follow up was 54 m;<br />

median age was 53 yr; 56% were men. The CRS was �3 in 55% <strong>of</strong><br />

patients, and 57% had additional extrahepatic procedures. Morbidity and<br />

mortality were 33% and 3%. Chemotherapy was split before and after<br />

surgery in 70%; 10% received only preoperative and 19% only postoperative<br />

treatment, which was initiated after a median time <strong>of</strong> 6 wks (IQR �<br />

4-7). RFS and OS were 29 and 59 m. On multivariate analysis, (�)<br />

resection margin, high CRS and perioperative complications predicted<br />

shorter RFS and OS. Delayed initiation <strong>of</strong> postoperative chemotherapy (� 8<br />

wks) while most common in patients with complications (37 vs 12%; p:<br />

0.01), was not a significant predictor <strong>of</strong> shorter RFS or OS. Randomization<br />

(ANH vs standard) was also not significant in this regard. (See Table.)<br />

Conclusions: In this prospective randomized cohort, perioperative morbidity<br />

was a highly significant independent predictor <strong>of</strong> cancer specific outcome,<br />

associated with but not entirely explained by delayed initiation <strong>of</strong> chemotherapy.<br />

Variables affecting overall (OS) and recurrence free (RFS) survival.<br />

Median survival<br />

Multivariate<br />

months Univariate P P-HR<br />

CRS (high vs low)<br />

OS 32 vs 74 0.02 �0.01 – 3<br />

RFS 21 vs 46 0.03 �0.01 –3<br />

Margin (� vs -)<br />

OS 34 vs 71 0.05 0.03 – 0.5<br />

RFS 29 vs 32 0.2 0.04 – 0.5<br />

Complications (Y vs N)<br />

OS 27 vs 75 �0.01 �0.01 – 3.4<br />

RFS 18 vs 60 �0.01 �0.01 – 3.5<br />

Delayed chemotherapy (Y vs N)<br />

OS 30 vs 75 0.06 0.06 – 3<br />

RFS 29 vs 59 0.1 0.3<br />

Visit abstract.asco.org and search by abstract for the full list <strong>of</strong> abstract authors and their disclosure information.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!