Retrospective Study Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Oct 27, 2024; 16(10): 3171-3184
Published online Oct 27, 2024. doi: 10.4240/wjgs.v16.i10.3171
Adjuvant chemotherapy for isolated resectable colorectal lung metastasis: A retrospective study using inverse probability treatment weighting propensity analysis
Zhao Gao, Shi-Kai Wu, Xuan Jin, Department of Medical Oncology, Peking University First Hospital, Beijing 100034, China
Shi-Jie Zhang, Department of Thoracic Surgery, Peking University First Hospital, Beijing 100034, China
Xin Wang, Ying-Chao Wu, Department of Gastrointestinal Surgery, Peking University First Hospital, Beijing 100034, China
ORCID number: Zhao Gao (0009-0007-6128-4042); Shi-Kai Wu (0009-0003-9525-4870).
Author contributions: Gao Z and Jin X prepared the manuscript; Wu SK, Wang X and Jin X conceived the review, and edited the manuscript; Gao Z collected and analyzed the data; Zhang SJ and Wu YC analyzed the data and drafted the manuscript; All the authors have read and approved the final version of the manuscript.
Supported by the National Project for Clinical Key Specialty Development.
Institutional review board statement: Our study complies with all ethical regulations of the Peking University First Hospital Ethics Committee, Approval No. 2024-321-001.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Data sharing statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Xuan Jin, PhD, Department of Medical Oncology, Peking University First Hospital, No. 8 Xishiku Street, Beijing 10034, China. jinxuanbdyy@outlook.com
Received: May 11, 2024
Revised: August 17, 2024
Accepted: August 29, 2024
Published online: October 27, 2024
Processing time: 139 Days and 2.2 Hours

Abstract
BACKGROUND

The benefit of adjuvant chemotherapy (ACT) for patients with no evidence of disease after pulmonary metastasis resection (PM) from colorectal cancer (CRC) remains controversial.

AIM

To assess the efficacy of ACT in patients after PM resection for CRC.

METHODS

This study included 96 patients who underwent pulmonary metastasectomy for CRC at a single institution between April 2008 and July 2023. The primary endpoint was overall survival (OS); secondary endpoints included cancer-specific survival (CSS) and disease-free survival (DFS). An inverse probability of treatment-weighting (IPTW) analysis was conducted to address indication bias. Survival outcomes compared using Kaplan-Meier curves, log-rank test, Cox regression and confirmed by propensity score-matching (PSM).

RESULTS

With a median follow-up of 27.5 months (range, 18.3-50.4 months), the 5-year OS, CSS and DFS were 72.0%, 74.4% and 51.3%, respectively. ACT had no significant effect on OS after PM resection from CRC [original cohort: P = 0.8; IPTW: P = 0.17]. No differences were observed for CSS (P = 0.12) and DFS (P = 0.68) between the ACT and non-ACT groups. Multivariate analysis showed no association of ACT with better survival, while sublobar resection (HR = 0.45; 95%CI: 0.20-1.00, P = 0.049) and longer disease-free interval (HR = 0.45; 95%CI: 0.20-0.98, P = 0.044) were associated with improved survival.

CONCLUSION

ACT does not improve survival after PM resection for CRC. Further well-designed randomized controlled trials are needed to determine the optimal ACT regimen and duration.

Key Words: Colorectal cancer; Resection of pulmonary metastasis; Adjuvant chemotherapy; Inverse probability treatment weighting; Prognosis

Core Tip: It remains controversial whether patients who have reached no evidence disease after resection of pulmonary metastasis of colorectal cancer (CRC) can benefit from adjuvant chemotherapy (ACT). We aimed to evaluate the efficacy of ACT in patients after resection of pulmonary metastasis resection from CRC. Due to the lack of randomized prospective trials and high level evidence, our study may support valuable data support for individual participant data meta-analysis and help further research on this type of disease.



INTRODUCTION

In 2022, colorectal cancer (CRC) became the third most common malignancy worldwide and the second leading cause of cancer-related deaths[1]. Metastasis of CRC is the primary cause of death in CRC[2,3], with a 5-year survival rate of approximately 56% for non-metastatic cases, which drops significantly once metastasis occurs[4,5]. Unlike many other cancers, metastatic CRC is often amenable to surgical intervention[6]. The lungs, following the liver, are the second most common site for CRC metastasis, accounting for 10%-15% of cases[7]. Although research on lung metastasis is limited compared to liver metastasis, patients with lung metastases generally have a better prognosis[8]. Key prognostic factors for prolonged survival include disease-free interval (DFI), tumor diameter, preoperative carcinoembryonic antigen (CEA) levels, and the number of lung metastases[9]. Despite surgery being the primary treatment for lung metastasis, with a 5-year overall survival (OS) rate of 50%, the recurrence rate remains high at 68%, predominantly in the remaining lung tissue[10].

Metastasis is the main determinant of long-term survival in CRC, responsible for 90% of tumor-related deaths[11,12]. Adjuvant therapy is intended to eliminate micro-metastases following surgery[13]; however, the role of adjuvant chemotherapy (ACT) in improving survival after resection of pulmonary metastases (PM) remains controversial[14-16]. Previous studies and meta-analyses have provided conflicting evidence regarding the benefit of ACT and perioperative chemotherapy in this setting[17,18]. This study aimed to clarify the role of ACT after lung metastasectomy in patients with CRC at our center.

MATERIALS AND METHODS
Data acquisition

The medical records were retrospectively queried to identify patients who underwent pulmonary metastasectomy for CRC at Peking University First Hospital between April 2008 to June 2023. Patients with an index pulmonary metastasectomy at an outside facility were excluded. Inclusion criteria were: (1) Histopathologically confirmed adenocarcinoma of CRC, radically resected with no signs of local recurrence; and (2) If ACT was administered after surgery for the primary lesion, the interval between the last ACT and the radical resection of lung metastases was greater than three months. Exclusion criteria were: (1) Synchronous lung metastases; and (2) Extrapulmonary metastases or multiple bilateral lung metastases that could not be resected using R0 criteria. Isolated lung metastasis was defined as a CRC lung metastasis without extrapulmonary involved. Ten patients (10.4 %) underwent surgery for extrathoracic metastases (mainly liver metastases), with the last treatment for extrathoracic metastases occurring at least 3 months after the discovery of isolated lung metastases. Surgical methods for lung metastases included lobectomy and sublobar resection (wedge resection and segmentectomy). This study was approved by the Ethics Committee of the Peking University First Hospital.

Follow-up

Follow-up data were obtained through hospital record reviews and telephone contact. The final follow-up period was January 2024. OS was the primary outcome, calculated from the date of lung surgery to the date of death from any cause, with censored cases defined by the last available follow-up. Cancer-specific survival (CSS) and disease-free survival (DFS) were assessed monthly from the surgery date until tumor progression or death.

Statistical analysis

Analyses were performed with R statistical software version 4.3.2, with significance set at P ≤ 0.05. Continuous variables were compared using Student’s t-test, while categorical variables were assessed with the χ2 test. Survival analysis was conducted using the Kaplan-Meier method and multivariate Cox regression. Inverse probability of treatment weighting (IPTW) was used to adjust for differences between the ACT and non-ACT groups, with weights set as the inverse of the propensity score for those receiving ACT and the inverse of (1-propensity score) for those not receiving ACT. Standardized mean differences (SMDs) were calculated to assess covariate balance post-IPTW, with SMD values less than 0.2 indicating low covariate imbalance[19]. Pseudo-data generated by IPTW increased the sample size of the original data potentially inflating statistical significance, which was mitigated by using stabilized weights[20]. Missing data ranged from 0% to 29.2%. Missing data were handled by multiple imputations using chained equations via the mice package in R, in which predictive mean matching was embedded with the cases (k) = 5 default[21]. Univariate analysis was performed on complete cases before imputation, while multivariate analyses included the imputed data for confounders[22]. Statistical significance was set at P < 0.05, and all probability values were two-tailed.

Sensitivity analysis

To address potential biases, three sensitivity analyses were conducted. First, comparisons were made between data before and after the missing-value interpolation. Second, a complete case analysis was used to replace imputed laboratory values. Third, propensity score matching analysis, an alternative to IPTW, was employed to adjust for baseline imbalances and evaluate treatment outcomes.

RESULTS
Participants

During the study period, 96 patients met the inclusion criteria, with a majority being men (n = 58; 60.4%), and a median age of 62.6 years (Table 1). Among these patients, 28 (29.2%) reported a history of tobacco use. All patients (100%) were diagnosed with lung metastases during follow-up, with a median DFI of 28.5 months. Ten patients (10.4%) had previously undergone surgery for extra-thoracic metastases, primarily liver metastases. ACT was administered to 35.4% of the patients during radical resection for isolated lung metastases (Table 1).

Table 1 Clinical, radiological, and histological characteristics of the population.
Factors
Total, n (%)
Gender
Male58 (60.4)
Female38 (39.6)
Age at CRC diagnosis
Median (IQR)59.7 (49.8-69.6)
Age at time of pulmonary surgery
Median (IQR)62.6 (53-72.2)
Access
Open20 (20.8)
VATS76 (79.2)
Type of resection
Sublobar resection54 (56.2)
Lobectomy42 (43.8)
Adjuvant chemotherapy for PM
No62 (64.6)
Yes34 (35.4)
Primary tumor T stage
T1 or T28 (11.8)
T3 or T460 (88.2)
Primary tumor N stage
N028 (39.4)
N1 or N243 (60.6)
Primary tumor location
Left colon29 (33.0)
Right colon17 (19.3)
Rectum42(47.7)
Adjuvant chemotherapy for CRC
No30 (31.2)
Yes66 (68.8)
CEA levels
≤ 5 ng/mL47 (60.3)
> 5 ng/mL31 (39.7)
Number of metastatic lesions
176 (79.2)
> 120 (20.8)
Tumor size (cm)
≤ 2 cm51 (54.8)
> 2 cm42 (45.2)
Prior extra-thoracic metastasis
No86 (89.6)
Yes10 (10.4)
CRC differentiation
Well/well to moderate8 (11.8)
Moderate57 (83.8)
Moderate to poor/poor3 (4.4)
Smoking history
No68 (70.8)
Yes28 (29.2)
RAS
Wild type10 (62.5)
mutant type6 (37.5)
Bilateral pulmonary nodules
No91 (94.8)
Yes5 (5.2)
LN sampling at PM
No51 (53.1)
Yes45 (46.9)
Positive LN at PM
No90 (93.8)
Yes6 (6.2)

In the entire cohort, 62 patients did not receive ACT, while 34 did. The groups did not show significant differences in sex, resection type, number of metastatic lesions, tumor size, bilateral pulmonary nodules, lymph node (LN) sampling during PM, or positive LN at PM when stratified by ACT. However, age at primary cancer diagnosis (P = 0.038), age at lung surgery (P = 0.014), and smoking history (P = 0.038) did differ (Table 2).

Table 2 Baseline characteristics and clinical outcomes of patients among groups before propensity analysis, n (%).
Factors
Levels
Surgery alone (n = 62)
Adjuvant chemotherapy (n = 34)
P value
GenderMale39 (62.9)19 (55.9)0.649
Female23 (37.1)15 (44.1)
Age at CRC diagnosismean ± SD61.3 ± 9.956.9 ± 9.40.038
Age at time of pulmonary surgerymean ± SD64.4 ± 9.659.4 ± 9.00.014
Smoking historyNo39 (62.9)29 (85.3)0.038
Yes23 (37.1)5 (14.7)
Prior extra-thoracic metastasisNo55 (88.7)31 (91.2)0.977
Yes7 (11.3)3 (8.8)
AccessOpen16 (25.8)4 (11.8)0.175
VATS46 (74.2)30 (88.2)
Type of resectionLobe30 (48.4)12 (35.3)0.307
Segmental wedge32 (51.6)22 (64.7)
Number of metastatic lesions150 (80.6)26 (76.5)0.827
> 112 (19.4)8 (23.5)
Tumor size (cm)≤ 2cm33 (53.2)20 (58.8)0.754
> 2 cm29 (46.8)14 (41.2)
Bilateral pulmonary nodulesNo59 (95.2)32 (94.1)1.000
Yes3 (4.8)2 (5.9)
LN sampling at PMNo31 (50)20 (58.8)0.539
Yes31 (50)14 (41.2)
Positive LN at PMNo59 (95.2)31 (91.2)0.741
Yes3 (4.8)3 (8.8)
CEA≤ 5 ng/mL40 (64.5)21 (61.8)0.963
> 5 ng/mL22 (35.5)13 (38.2)
DFImean ± SD1070.1 ± 754.2946.0 ± 620.60.415
Primary tumor locationLeft colon18 (29)11 (32.4)0.340
Rectal29 (46.8)19 (55.9)
Right colon15 (24.2)4 (11.8)
Outcomes

The median follow-up was 27.5 months, with 26 patients having died by analysis. The OS rates at 1, 2, and 5 years were 94.8% [95% confidence interval (CI): 90.0%-99.9%], 99.9% (95%CI: 76.3%-93.4%), and 72.0% (95%CI: 61.6%-84.1%), respectively (Figure 1A). CSS rates at 1, 2, and 5 years were 93.7% (95%CI: 88.4%-99.2%), 83.4% (95%CI: 75.2%-92.5%), and 74.4% (95%CI: 64.5%-86.0%), respectively (Figure 1B). Progressive disease, defined as systemic and/or local progression or uncontrolled primary tumors, occurred in 36 patients (37.5%) at a median interval of 76.8 months. DFS rates at 1, 2, and 5 years were 76.4% (95%CI: 67.2%-87.0%), 57.6% (95%CI: 48.6%-72.3%) and 51.3% (95%CI: 40.1%-65.5%), respectively (Figure 1C).

Figure 1
Figure 1 Kaplan-Meier method. A: Overall survival in all patients; B: Cancer-special survival in all patients; C: Disease-free survival in all patients. OS: Overall survival; CSS: Cancer-special survival; DFS: Disease-free survival.

After applying the IPTW method, the effective sample size was modestly altered, with data from 128 to 105 patients analyzed in the ACT after PM resection and PM resection alone groups. Kaplan-Meier analysis and the log-rank test showed no significant difference in time to death, the primary outcome, between the ACT after PM resection and PM resection alone groups, with OS favoring ACT after resection of PM (P = 0.08 before IPTW analysis; P = 0.08 after IPTW analysis; P = 0.08 after stabilized IPTW analysis) (Figure 2A-C). The P-value of the stabilized IPTW analysis is 0.19. Before applying weights, five of the 15 disease- and treatment-related clinical features had SMD values > 0.2. After IPTW, only two treatment-related clinical features had an SMD values > 0.2, indicating balanced baseline characteristics (Figure 3).

Figure 2
Figure 2 Kaplan-Meier survival curves according to adjuvant chemotherapy with lung metastases. A: In the original cohort; B: After inverse probability of treatment-weighting analysis; C: After propensity score-matching analysis (ratio = 1); D: After propensity score-matching analysis (ratio = 2); E: After propensity score-matching analysis (ratio = 3).
Figure 3
Figure 3 Standardized mean difference before and after inverse probability of treatment-weighting. CEA: Carcinoembryonic antigen; LN: Lymph nodes; PM: Pulmonary metastases.

Table 3, Table 4, Table 5, and Table 6 summarize survival data according to risk factors before and after IPTW. CEA levels (P = 0.038) and prior extra-thoracic metastasis (P = 0.049) were significant predictors of survival. In multivariate analysis, prior extra-thoracic metastasis of PM [Hazard ratio (HR): 4.97; 95%CI: 1.03-24.08; P = 0.046] was associated with improved survival before and after IPTW, while the type of resection (HR: 0.45; 95%CI: 0.20-1.00; P = 0.049) and DFI (HR: 0.45; 95%CI: 0.20-0.98; P = 0.044) were confirmed as predictors OS in the original cohort.

Table 3 Univariable Cox proportional hazards model for overall survival after inverse probability of treatment-weighting.
Factors
HR (univariable)
GenderM
F0.8556 (0.3201-2.287, P = 0.756)
Age at primary cancer≤ 60 years
> 60 years1.1914 (0.4402-3.224, P = 0.730)
Smoking historyNo
Yes1.07988 (0.3514-3.319, P = 0.893)
Age lung surgery≤ 60 years
> 60 years0.6498 (0.2495-1.692, P = 0.377)
Surgical approach for PMOpen
VATS0.5052 (0.1863-1.37, P = 0.18)
Type of resectionLobectomy
Sublobar resection0.6032 (0.2248-1.619, P = 0.065)
Lymph node dissectionNo
Yes1.2383 (0.4682-2.728, P = 0.667)
Positive LN at PMNo
Yes0.9268 (0.1181-7.271, P = 0.942)
Adjuvant chemotherapyNo
Yes0.4204 (0.1632-1.083, P = 0.0726)
Primary tumor locationLeft colon
Right colon0.4590 (0.1093-1.928, P = 0.288)
Rectum0.6267 (0.2328-1.687, P = 0.355)
CEA levels≤ 5 ng/mL
> 5 ng/mL2.7261 (1.075-6.913, P = 0.0347)
Number of metastatic lesions1
> 12.1928 (0.8496-5.66, P = 0.105)
Bilateral pulmonary nodulesNo
Yes2.478 (0.9703-6.329, P = 0.0578)
Tumor size (cm)≤ 2 cm
> 2 cm0.7971 (0.2961-2.146, P = 0.653)
Prior extra-thoracic metastasisNo
Yes4.627 (1.01-21.2, P = 0.0485)
Table 4 Multivariate analysis of overall survival after inverse probability of treatment-weighting.
Survival

HR
95%CI
P value
Adjuvant chemotherapyNo
Yes0.430.16-1.180.10
Number of metastatic lesions1
≥ 21.950.64-5.930.24
Prior extra-thoracic metastasisNo
Yes4.971.03-24.080.046
Bilateral pulmonary nodulesNo
Yes1.840.36-9.430.47
CEA≤ 5 ng/mL
> 5 ng/mL2.000.76-5.280.16
Type of resectionLobectomy
Sublobar resection0.530.21-1.350.19
Table 5 Univariable Cox proportional hazards model for overall survival in the original cohort.
Factors
HR (univariable)
GenderM
F0.78 (0.35-1.77, P = 0.555)
Age at primary cancer≤ 60 years
> 60 years1.41 (0.65-3.05, P = 0.381)
Smoking historyNo
Yes1.11 (0.48-2.55, P = 0.814)
Age lung surgery≤ 60 years
> 60 years0.98 (0.45-2.12, P = 0.956)
Surgical approach for PMOpen
VATS0.77 (0.32-1.84, P = 0.556)
Type of resectionLobectomy
Sublobar resection0.47 (0.21-1.04, P = 0.062)
Lymph node dissectionNo
Yes1.18 (0.55-2.55, P = 0.674)
Positive LN at PMNo
Yes0.62 (0.08-4.60, P = 0.642)
Adjuvant chemotherapyNo
Yes0.47 (0.20-1.12, P = 0.087)
Primary tumor locationLeft colon
Right colon0.91 (0.32-2.63, P = 0.863)
Rectum0.60 (0.24-1.53, P = 0.288)
CEA levels≤ 5 ng/mL
> 5 ng/mL1.48 (0.66-3.31, P = 0.335)
Number of metastatic lesions1
> 11.75 (0.73-4.23, P = 0.211)
Bilateral pulmonary nodulesNo
Yes 1.88 (0.44-8.08, P = 0.398)
Tumor size (cm)≤ 2 cm
> 2 cm0.67 (0.29-1.53, P = 0.337)
Prior extra-thoracic metastasisNo
Yes1.94 (0.58-6.50, P = 0.283)
DFI≤ 600
> 6000.48 (0.22-1.04, P = 0.063)
Table 6 Multivariate analysis of overall survival in the original cohort.
Survival

HR
95%CI
P value
Adjuvant chemotherapyNo
Yes0.500.21-1.180.114
Type of resectionLobectomy
Sublobar resection0.450.20-1.000.049
DFI≤ 600
> 6000.450.20-0.980.044

Sensitivity analyses, encompassing data before and after imputation, complete case analysis, and propensity score-adjusted analysis, did not significantly change the results (Table 6 and Table 7; Figure 2D-F).

Table 7 Clinical, radiological, and histological characteristics of the population: Pre-imputation and post-imputation, n (%).
Factors
Levels
Post-imputation (n = 96)
Pre-imputation (n = 96)
P value
GenderMale58 (60.4)58 (60.4)1.000
Female38 (39.6)38 (39.6)
Age at CRC diagnosismean ± SD59.7 ± 9.959.7 ± 9.91.000
Age at time of pulmonary surgerymean ± SD62.6 ± 9.662.6 ± 9.61.000
Smoking historyNo68 (70.8)68 (70.8)1.000
Yes28 (29.2)28 (29.2)
Adjuvant chemotherapy for CRCNo30 (31.2)30 (31.2)1.000
Yes66 (68.8)66 (68.8)
CRC differentiationModerate84 (87.5)57 (83.8)0.760
Moderate to poor4 (4.2)3 (4.4)
Well to moderate8 (8.3)8 (11.8)
Primary tumor T stageT1 or T210 (10.4)8 (11.8)0.985
T3 or T486 (89.6)60 (88.2)
Primary tumor N stageN039 (40.6)28 (39.4)1.000
N1 or N257 (59.4)43 (60.6)
Prior extra-thoracic metastasisNo86 (89.6)86 (89.6)1.000
Yes10 (10.4)10 (10.4)
AccessOpen20 (20.8)20 (20.8)1.000
VATS76 (79.2)76 (79.2)
Type of resectionLobe42 (43.8)42 (43.8)1.000
Segmental wedge54 (56.2)54 (56.2)
Number of metastatic lesions176 (79.2)76 (79.2)1.000
> 120 (20.8)20 (20.8)
Tumor size (cm)≤ 253 (55.2)51 (54.8)1.000
> 243 (44.8)42 (45.2)
Bilateral pulmonary nodulesNo91 (94.8)91 (94.8)1.000
Yes5 (5.2)5 (5.2)
LN sampling at PMNo51 (53.1)51 (53.1)1.000
Yes45 (46.9)45 (46.9)
Positive LN at PMNo90 (93.8)90 (93.8)1.000
Yes6 (6.2)6 (6.2)
CEA levels≤ 5 ng/mL61 (63.5)47 (60.3)0.774
> 5 ng/mL35 (36.5)31 (39.7)
CRC LVINo81 (84.4)45 (81.8)0.858
Yes15 (15.6)10 (18.2)
CRC PNINo77 (80.2)41 (74.5)0.545
Yes19 (19.8)14 (25.5)
Adjuvant chemotherapyNo62 (64.6)62 (64.6)1.000
Yes34 (35.4)34 (35.4)
DFImean ± SD1026.2 ± 708.91026.2 ± 708.91.000
Primary tumor locationLeft colon29 (30.2)29 (33)0.921
Rectal48 (50)42 (47.7)
Right colon19 (19.8)17 (19.3)
DISCUSSION

Although surgery for CRC metastasis to the lungs can improve patient prognosis, it remains far from ideal[23]. Current research is focused on improving outcomes for patients with CRC with lung metastases who undergo surgery[24]. Although patients with liver metastases from CRC can benefit from postoperative chemotherapy[25], it remains unclear whether patients with PM derive similar benefits from perioperative chemotherapy. The benefit of ACT for patients achieving no evidence of disease (NED) after PM resection is still debated. For example, a meta-analysis by Zhang et al[18] found no improvement in prognosis with postoperative ACT for CRC lung metastasis, whereas a meta-analysis by Li and Qin[17] suggested that perioperative chemotherapy could enhance outcomes. These two meta-analyses, which investigated the impact of chemotherapy on the prognosis of patients undergoing resection of CRC lung metastases, reached different conclusions. As a result, it remains unclear whether the mode of chemotherapy-whether neoadjuvant, adjuvant, or both-affects the prognosis of these patients. Supporting this uncertainty, Pagès et al[26] found that neoadjuvant chemotherapy did not significantly improve patient prognosis.

Our previous studies indicated that perioperative chemotherapy does not improve outcomes for patients undergoing resection of isolated lung metastases from CRC, but the role of postoperative remained uncertain. In this study, we retrospectively analyzed the need for ACT in patients who underwent lung metastasectomy for CRC at our center. The HR estimation indicated that patients did not benefit from ACT after lung metastasis resection (HR: 0.4204; 95%CI: 0.1632-1.083; P = 0.08). Multivariate analysis adjusting for other survival-influencing variables confirmed that postoperative ACT did not significantly alter OS, CSS, or DFS, consistent with previous meta-studies[18].

The role of a history of liver metastasis as a prognostic factor in patients undergoing pulmonary metastasectomy has been controversial[27]. Although some studies dismiss liver metastasis history as a significant survival factor, others have reached the opposite conclusion[23]. Indeed we identified it as an independent adverse prognostic factor for OS (P = 0.046). Additionally, preoperative CEA levels were significantly associated with OS, aligning with many studies that report high CEA levels (greater than 5 ng/mL) as a negative prognostic factor in CRC patients undergoing pulmonary metastasectomy[27,28].

The DFI between CRC resection and the development of lung metastasis has consistently been shown to correlate with treatment outcomes, though studies vary in defining the cutoff for a prolonged DFI[29-32]. A pooled analysis indicated that a DFI of less than 36 months is a poor prognostic factor for OS[29]. In this study, the optimal DFI cutoff, calculated using the Youden index, was 20 months, with shorter DFI’s predicting worse outcomes. Interestingly, while previous studies have identified the number of lung metastases as a key adverse prognostic factor, our study did not find a significant correlation, likely due to the exclusion of patients with more than five lung metastases, unlike prior studies that included patients with over 10 metastases[33,34].

There is ongoing debate about whether open thoracic surgery offers superior outcomes compared to video-assisted thoracic surgery (VATS) for CRC lung metastasis. Open surgery allows for the palpation of the lungs to identify occult metastases not visible on imaging, traditionally making it the gold standard[35]. However, recent studies, including a multi-institutional retrospective analysis from Japan, found no significant difference in survival rates between open surgery and VATS after propensity score adjustment[36]. Similarly, our study found comparable survival outcomes between patients undergoing VATS and those undergoing open surgery.

This study had several limitations. First, it is a retrospective, single-center study which may introduce selection bias. Second, the diverse chemotherapy regimens, doses, and cycles may have influenced the conclusions. The study only included carefully selected patients excluding many with CRC lung metastases. Furthermore, the decision to administer ACT was influenced by clinical decision-making factors specific to a single institution, potentially causing imbalances. Notably patients who received postoperative ACT were younger at CRC diagnosis, had earlier lung metastases, and shorter median DFI than those who did not receive ACT. These patients might have had more aggressive tumors but also better to responses to cytotoxic therapy. These factors must be considered when interpreting the study’s results.

CONCLUSION

In conclusion, our study is the first to use IPTW analysis to assess the impact of ACT on the survival of patients with CRC and resectable PM. Our findings indicate that ACT does not confer survival benefits for patients who reach NED after PM resection. However, this conclusion is limited by the retrospective nature of the analysis, underscoring the need for randomized controlled trials focused on ACT in this specific patient subgroup.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Gastroenterology and hepatology

Country of origin: China

Peer-review report’s classification

Scientific Quality: Grade C

Novelty: Grade B

Creativity or Innovation: Grade B

Scientific Significance: Grade B

P-Reviewer: Dimofte GM S-Editor: Fan M L-Editor: A P-Editor: Cai YX

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