Published online Oct 27, 2026. doi: 10.4240/wjgs.121168
Revised: June 2, 2026
Accepted: July 3, 2026
Published online: October 27, 2026
Processing time: 177 Days and 19.9 Hours
Conventional treatment for locally advanced rectal cancer (LARC) is associated with several limitations, and neoadjuvant immunotherapy has been proposed to address these current clinical dilemmas. However, the correlation between patho
To investigate the correlation between pathological response to neoadjuvant im
Clinical data of 130 LARC patients who received neoadjuvant immunotherapy combined with radical surgery in our hospital from March 2022 to March 2025 were retrospectively collected. All patients were administered neoadjuvant immu
Among the 130 patients with LARC who received neoadjuvant immunotherapy followed by radical surgery, 30 patients achieved pCR, 30 achieved MPR, and 70 were classified as non-MPR. Significant differences were obser
Neoadjuvant immunotherapy yields a high pathological response rate in LARC patients, and the pathological response is closely correlated with long-term survival outcomes. Patients achieving pCR/MPR have superior disease-free survival and overall survival.
Core Tip: This real-world retrospective study evaluated the association between pathological response and long-term survival outcomes in patients with locally advanced rectal cancer receiving neoadjuvant immunotherapy. Results demonstrated high pathological response rates and suggested that better pathological regression may correlate with improved disease-free survival. These findings provide clinically relevant evidence supporting the prognostic value of pathological response following neoadjuvant immunotherapy in locally advanced rectal cancer.
- Citation: Zhang K, Li ZJ. Correlation between pathological response to neoadjuvant immunotherapy and long-term survival in locally advanced rectal cancer: A real-world study. World J Gastrointest Surg 2026; 18(10): 121168
- URL: https://www.wjgnet.com/1948-9366/full/v18/i10/121168.htm
- DOI: https://dx.doi.org/10.4240/wjgs.121168
Locally advanced rectal cancer (LARC), generally defined as stage II-III rectal cancer, remains a major clinical challenge worldwide. Despite substantial advances in multidisciplinary treatment strategies, including neoadjuvant chemoradiotherapy, total mesorectal excision, and adjuvant chemotherapy, patients with LARC still face considerable risks of local recurrence, distant metastasis, and treatment-related morbidity. Therefore, optimizing neoadjuvant treatment strategies and improving long-term oncological outcomes remain important clinical goals[1].
Currently, the main clinical treatment modalities comprise neoadjuvant therapy combined with radical surgery and adjuvant therapy. Some patients exhibit a poor therapeutic response to conventional neoadjuvant therapy regimens, which are associated with a high incidence of complications that severely impair patients’ quality of life[2]. In recent years, immunotherapy has emerged as a promising therapeutic approach for various solid tumors. Immune checkpoint inhibitors targeting programmed cell death protein 1 (PD-1) and programmed death-ligand 1 (PD-L1) have demonstrated encouraging antitumor activity, particularly in patients with deficient mismatch repair or microsatellite instability-high colorectal cancer. Several clinical studies have shown that neoadjuvant immunotherapy can achieve remarkable tumor regression and high rates of organ preservation in rectal cancer, highlighting its potential as an effective treatment strategy for LARC[3].
In recent years, immunotherapy has emerged as a promising therapeutic approach for various solid tumors. Immune checkpoint inhibitors targeting PD-1 and PD-L1 have demonstrated encouraging antitumor activity, particularly in patients with deficient mismatch repair or microsatellite instability-high colorectal cancer. Several clinical studies have shown that neoadjuvant immunotherapy can achieve remarkable tumor regression and high rates of organ preservation in rectal cancer, highlighting its potential as an effective treatment strategy for LARC[4,5].
However, most relevant studies thus far are clinical trials with strict inclusion criteria, limit the external validity and clinical applicability of their findings. This study retrospectively analyzed the clinical data of 130 patients with LARC who received neoadjuvant immunotherapy and adopted a real-world study design to investigate the actual clinical efficacy of this therapeutic regimen in clinical practice, as well as the correlation between pathological response and long-term survival. The findings are expected to provide real-world evidence for clinical treatment decision-making.
Clinical data of patients with LARC who received neoadjuvant immunotherapy combined with radical surgery in Jiujiang No. 1 People’s Hospital from March 2022 to March 2025 were retrospectively collected.
Inclusion criteria were as follows: (1) Pathologically confirmed rectal adenocarcinoma via colonoscopic biopsy; (2) Preoperative imaging examinations (pelvic magnetic resonance imaging, abdominal and pelvic computed tomography) consistent with the diagnostic criteria for LARC, i.e., tumor invasion depth of ≥ T3 stage or accompanied by regional lymph node metastasis (N+), without distant metastasis (M0), in accordance with the 8th edition of the American Joint Committee on Cancer Staging System for Rectal Cancer[6]; (3) Aged 18 years to 75 years with an Eastern Cooperative Oncology Group (ECOG) performance status score of 0 to 1[7]; (4) Administration of neoadjuvant immunotherapy regimens based on anti-PD-1/PD-L1 inhibitors, followed by radical rectal cancer resection after the completion of treatment; and (5) Complete clinical data, including baseline characteristics, treatment regimens, pathological results, and follow-up information.
Exclusion criteria were as follows: (1) History of other malignant tumors; (2) Complicated with autoimmune diseases, active infections, or severe organ dysfunction; (3) Previous history of immunotherapy, radiotherapy, or chemotherapy; (4) Positive surgical margins or incomplete postoperative pathological data; and (5) Follow-up duration of less than 3 months or lost to follow-up.
This study was approved by the Medical Ethics Committee of Jiujiang No. 1 People’s Hospital (Approval No. JJSDY
All patients received neoadjuvant immunotherapy regimens based on anti-PD-1/PD-L1 inhibitors, with specific regimens as follows: (1) Monotherapy with immune checkpoint inhibitors: Pembrolizumab (200 mg per administration, once every 3 weeks) or camrelizumab (200 mg per administration, once every 2 weeks) for a total of 4 cycles to 6 cycles; and (2) Immune combination therapy: Anti-PD-1/PD-L1 inhibitors combined with the CapeOX regimen (Capecitabine 1000 mg/m2, orally twice daily on days 1-14; Oxaliplatin 130 mg/m2, intravenous infusion on day 1, once every 3 weeks) for a total of 4 cycles.
Treatment regimens were comprehensively selected by the multidisciplinary team based on the patients’ tumor stage, performance status, economic status, and drug accessibility. Adverse reactions were closely monitored during treatment, and corresponding interventions were administered based on the grading of adverse reactions; treatment was suspended or doses were adjusted when necessary. Laparoscopic or open radical rectal cancer resection with D2/D3 lymph node dissection was performed 4 weeks to 6 weeks after the completion of neoadjuvant therapy, and all surgeries were con
Baseline data: Baseline data of patients were collected. These included gender, age, ECOG performance status score, tumor location, maximum tumor diameter, preoperative radiological T stage, preoperative radiological N stage, and comorbidities (hypertension, diabetes mellitus).
Evaluation of pathological response: Surgically resected specimens were collected postoperatively, and double-blind pathological review was conducted by two experienced pathologists. The degree of pathological response was evaluated based on the tumor regression grade (TRG) criteria recommended by the American Joint Committee on Cancer[8], with the specific grading as follows: TRG grade 0 [pathological complete response; (pCR)]: Complete disappearance of tumor lesions with no residual cancer cells and no regional lymph node metastasis; TRG grade 1 [major pathological response (MPR)]: Marked regression of tumor lesions with ≤ 10% residual cancer cells and no regional lymph node metastasis; TRG grade 2: Partial regression of tumor lesions with 10%-50% residual cancer cells; and TRG grade 3: Minimal or no tumor regression with > 50% residual cancer cells. TRG grade 0 was defined as pCR, TRG grades 0 and 1 as MPR, and TRG grades 2 and 3 as non-MPR. The pCR, MPR, and total pathological response rates (pCR + MPR) were calculated.
Evaluation of survival outcomes: Follow-up was conducted through outpatient and telephone follow-up. The start time of follow-up was the date of surgery, and the cut-off time was June 30, 2025. The primary survival outcome indicators included disease-free survival (DFS) and overall survival (OS). DFS was defined as the time from the date of surgery to the first occurrence of tumor recurrence, metastasis, or death from any cause, and OS was defined as the time from the date of surgery to death from any cause or the follow-up cut-off date.
Safety evaluation: Neoadjuvant immunotherapy-related adverse reactions were evaluated following the Common Terminology Criteria for Adverse Events version 5.0[7], which were graded as 1 to 4. The types, incidence rates, and severity (grade 3 and grade 4) of adverse reactions were recorded.
Data analysis was performed using SPSS 26.0 statistical software. Quantitative data conforming to normal distribution were expressed as mean ± SD, with intergroup comparisons conducted using t-tests. Data not conforming to normal distribution were expressed as median (interquartile range), and intergroup comparisons were conducted using the Wilcoxon signed-rank test. Categorical data were presented as n (%). Intergroup comparisons were performed using the χ2 test or Fisher’s exact test. Survival curves were plotted using the Kaplan-Meier method, with the log-rank test com
The baseline demographic and clinicopathological characteristics of the 130 patients are presented in Table 1. No significant differences were observed among the pCR, MPR, and non-MPR groups with respect to sex, age, ECOG performance status, distance from the tumor to the anal verge, hypertension, or diabetes mellitus (all P > 0.05), indicating good baseline comparability among the groups. However, significant differences were identified in maximum tumor diameter (P = 0.033), preoperative imaging T stage (P = 0.006), preoperative imaging N stage (P = 0.002), and treatment regimen (P = 0.011). Patients in the pCR and MPR groups tended to have smaller tumors, earlier preoperative imaging stages, and a higher proportion of combination immunotherapy than those in the non-MPR group. Table 1 compares the baseline characteristics of patients in different pathological response groups.
| Baseline characteristics | Total (n = 130) | pCR group (n = 30) | MPR group (n = 30) | Non-MPR group (n = 70) | χ2/t/Z | P value |
| Sex | 0.582 | 0.747 | ||||
| Male | 78 (60.0) | 19 (63.3) | 17 (56.7) | 42 (60.0) | ||
| Female | 52 (40.0) | 11 (36.7) | 13 (43.3) | 28 (40.0) | ||
| Age (years) | 56 (48-65) | 54 (45-63) | 55 (46-64) | 58 (50-66) | 2.135 | 0.344 |
| ECOG performance status | 1.852 | 0.396 | ||||
| 0 | 89 (68.5) | 23 (76.7) | 21 (70.0) | 45 (64.3) | ||
| 1 | 41 (31.5) | 7 (23.3) | 9 (30.0) | 25 (35.7) | ||
| Distance from tumor to anal verge | 2.018 | 0.365 | ||||
| ≤ 5 cm | 53 (40.8) | 11 (36.7) | 10 (33.3) | 32 (45.7) | ||
| > 5 cm | 77 (59.2) | 19 (63.3) | 20 (66.7) | 38 (54.3) | ||
| Maximum tumor diameter (cm) | 4.5 (3.2-5.8) | 3.8 (2.9-5.1) | 4.2 (3.1-5.5) | 4.9 (3.5-6.2) | 6.842 | 0.033 |
| Preoperative imaging T stage | 10.258 | 0.006 | ||||
| T3 | 82 (63.1) | 25 (83.3) | 22 (73.3) | 35 (50.0) | ||
| T4 | 48 (36.9) | 5 (16.7) | 8 (26.7) | 35 (50.0) | ||
| Preoperative imaging N stage | 12.369 | 0.002 | ||||
| N0 | 35 (26.9) | 12 (40.0) | 10 (33.3) | 13 (18.6) | ||
| N1 | 58 (44.6) | 15 (50.0) | 16 (53.3) | 27 (38.6) | ||
| N2 | 37 (28.5) | 3 (10.0) | 4 (13.4) | 30 (42.8) | ||
| Hypertension | 32 (24.6) | 6 (20.0) | 7 (23.3) | 19 (27.1) | 0.658 | 0.720 |
| Diabetes mellitus | 21 (16.2) | 4 (13.3) | 5 (16.7) | 12 (17.1) | 0.285 | 0.867 |
| Treatment regimen | 8.925 | 0.011 | ||||
| Immunotherapy monotherapy | 53 (40.8) | 8 (26.7) | 10 (33.3) | 35 (50.0) | ||
| Combination immunotherapy | 77 (59.2) | 22 (73.3) | 20 (66.7) | 35 (50.0) |
All 130 patients completed neoadjuvant immunotherapy and radical surgery, with no intraoperative mortality reported. Postoperative pathological evaluation showed that 30 patients achieved pCR, with a pCR rate of 23.1%; 30 patients achieved MPR (non-pCR), with an MPR rate of 46.2%; the total pathological response rate (pCR + MPR) was 69.3%; and 70 patients were classified as non-MPR, accounting for 53.8%. A comparison of pathological responses across different treatment regimens revealed that the immune combination therapy group had a significantly higher pCR (31.2% vs 11.3%), MPR (57.1% vs 32.1%), and total pathological response rates (88.3% vs 43.4%) than the immune monotherapy group, with statistically significant differences (P < 0.001; Table 2).
| Treatment regimen | Number of patients | pCR (TRG 0) | MPR (TRG 1) | Non-MPR (TRGs 2 and 3) | Overall pathological response rate (TRGs 0 and 1) | χ2 | P value |
| Immunotherapy monotherapy | 53 | 6 (11.3) | 11 (20.8) | 36 (67.9) | 17 (32.1) | 10.362 | < 0.001 |
| Combination immunotherapy | 77 | 24 (31.2) | 20 (25.9) | 33 (42.9) | 44 (57.1) | ||
| Total | 130 | 30 (23.1) | 31 (23.8) | 69 (53.1) | 61 (46.9) |
The median follow-up duration for the entire cohort was 18 months (range: 3-39 months), with 19 cases of recurrence and metastasis and 10 deaths recorded. The 1-year DFS rate was 85.4%, and 1-year OS rate was 92.3%. A comparison of survival outcomes among patients with different pathological responses showed that the 1-year DFS rates in the pCR, MPR, and non-MPR groups were 96.7%, 88.3%, and 65.0%, and the 1-year OS rates were 100.0%, 95.0%, and 77.5%, respectively, with statistically significant differences among all groups (P < 0.001). Kaplan-Meier survival analysis de
| Response | Number of patients | Recurrence or metastasis | Deaths | 1-year DFS (%) | 1-year OS (%) | Log-rank | P value (DFS) | Log-rank | P value (OS) |
| pCR group (TRG 0) | 30 | 1 (3.3) | 0 (0.0) | 96.7 | 100.0 | 28.652 | < 0.001 | 25.321 | < 0.001 |
| MPR group (TRG 1) | 30 | 4 (13.3) | 2 (6.7) | 88.3 | 95.0 | ||||
| Non-MPR group (TRGs 2 and 3) | 70 | 14 (20.0) | 8 (11.4) | 65.0 | 77.5 | ||||
| Total | 130 | 19 (14.6) | 10 (7.7) | 85.4 | 92.3 |
Univariate analysis: The univariate Cox regression analysis was used to examine the relationship among gender, age, ECOG score, tumor location, maximum tumor diameter, preoperative radiological T stage, preoperative radiological N stage, comorbidities, treatment regimen, and pathological response. The results showed that maximum tumor diameter > 4.5 cm [hazard ratio (HR) = 2.352, 95% confidence interval (CI): 1.201-4.598, P = 0.012], preoperative radiological T4 stage (HR = 2.563, 95%CI: 1.382-4.751, P = 0.003), preoperative radiological N2 stage (HR = 3.125, 95%CI: 1.682-5.798, P < 0.001), immune monotherapy (HR = 2.018, 95%CI: 1.082-3.765, P = 0.028) and non-MPR (HR = 4.256, 95%CI: 2.382-7.615, P < 0.001) were risk factors for DFS in patients with LARC. Preoperative radiological T4 stage (HR = 2.418, 95%CI: 1.215-4.812, P = 0.012), preoperative radiological N2 stage (HR = 3.521, 95%CI: 1.852-6.698, P < 0.001), immune monotherapy (HR = 1.985, 95%CI: 1.012-3.895, P = 0.046), and non-MPR (HR = 4.892, 95%CI: 2.582-9.275, P < 0.001) were identified as risk factors for OS in patients with LARC (Table 4).
| Variable | Coding | DFS (HR, 95%CI) | P value (DFS) | OS (HR, 95%CI) | P value (OS) |
| Sex | Male = 1, female = 0 | 1.025 (0.562-1.868) | 0.941 | 1.125 (0.521-2.428) | 0.765 |
| Age (years) | ≥ 60 = 1, < 60 = 0 | 1.258 (0.682-2.325) | 0.458 | 1.321 (0.625-2.798) | 0.468 |
| ECOG performance status | 1 = 1, 0 = 0 | 1.365 (0.752-2.478) | 0.305 | 1.425 (0.712-2.852) | 0.321 |
| Tumor location | ≤ 5 cm = 1, > 5 cm = 0 | 1.182 (0.652-2.145) | 0.585 | 1.258 (0.652-2.425) | 0.501 |
| Maximum tumor diameter (cm) | > 4.5 = 1, ≤ 4.5 = 0 | 2.352 (1.201-4.598) | 0.012 | 1.895 (0.952-3.772) | 0.068 |
| Preoperative imaging T stage | T4 = 1, T3 = 0 | 2.563 (1.382-4.751) | 0.003 | 2.418 (1.215-4.812) | 0.012 |
| Preoperative imaging N stage | N2 = 1, N0-1 = 0 | 3.125 (1.682-5.798) | < 0.001 | 3.521 (1.852-6.698) | < 0.001 |
| Hypertension | Yes = 1, No = 0 | 1.082 (0.582-2.015) | 0.812 | 1.152 (0.568-2.335) | 0.698 |
| Diabetes mellitus | Yes = 1, No = 0 | 1.215 (0.625-2.368) | 0.568 | 1.325 (0.632-2.778) | 0.465 |
| Treatment regimen | Immunotherapy monotherapy = 1, combination immunotherapy = 0 | 2.018 (1.082-3.765) | 0.028 | 1.985 (1.012-3.895) | 0.046 |
| Pathological response | Non-MPR = 1, MPR/pCR = 0 | 4.256 (2.382-7.615) | < 0.001 | 4.892 (2.582-9.275) | < 0.001 |
Multivariate analysis: Factors with P < 0.1 in the univariate analysis (maximum tumor diameter, preoperative radiolo
| Variable | Coding | DFS (HR, 95%CI) | P value (DFS) | OS (HR, 95%CI) | P value (OS) |
| Maximum tumor diameter (cm) | > 4.5 = 1, ≤ 4.5 = 0 | 1.521 (0.802-2.885) | 0.198 | 1.485 (0.752-2.932) | 0.256 |
| Preoperative imaging T stage | T4 = 1, T3 = 0 | 2.157 (1.203-3.876) | 0.009 | 1.892 (0.985-3.635) | 0.056 |
| Preoperative imaging N stage | N2 = 1, N0-1 = 0 | 2.841 (1.562-5.167) | 0.001 | 3.012 (1.583-5.731) | 0.001 |
| Treatment regimen | Immunotherapy monotherapy = 1, combination immunotherapy = 0 | 1.452 (0.782-2.695) | 0.235 | 1.385 (0.721-2.662) | 0.321 |
| Pathological response | Non-MPR = 1, MPR/pCR = 0 | 0.324 (0.186-0.564) | < 0.001 | 0.289 (0.145-0.576) | < 0.001 |
All 130 patients experienced varying degrees of treatment-related adverse reactions during neoadjuvant immunotherapy, with no treatment-related mortality. Adverse reactions were predominantly grade 1 and grade 2, with an incidence of 92.3% (120/130). The incidence of grade 3 and grade 4 adverse reactions was 7.7% (10/130), mainly including 2 cases of grade 3 diarrhea, 3 cases of grade 3 rash, 2 cases of grade 3 hypothyroidism, 1 case of grade 4 immune-related pneumo
| Type of adverse event | Grade 1 | Grade 2 | Grade 3 | Grade 4 | Overall incidence |
| Skin disorders | 18 (13.8) | 13 (10.0) | 3 (2.3) | 0 (0.0) | 34 (26.2) |
| Gastrointestinal disorders | 15 (11.5) | 9 (6.9) | 2 (1.5) | 0 (0.0) | 26 (20.0) |
| Endocrine disorders | 12 (9.2) | 8 (6.2) | 2 (1.5) | 0 (0.0) | 22 (16.9) |
| Respiratory disorders | 5 (3.8) | 3 (2.3) | 0 (0.0) | 1 (0.8) | 9 (6.9) |
| Hepatic function impairment | 4 (3.1) | 2 (1.5) | 0 (0.0) | 2 (1.5) | 8 (6.2) |
| Fatigue | 10 (7.7) | 5 (3.8) | 0 (0.0) | 0 (0.0) | 15 (11.5) |
| Other | 6 (4.6) | 3 (2.3) | 0 (0.0) | 0 (0.0) | 9 (6.9) |
| Total | 70 (53.8) | 50 (38.5) | 7 (5.4) | 3 (2.3) | 130 (100.0) |
The clinical treatment model for LARC has reached a novel era of multidisciplinary collaboration. As a core link connecting diagnostic evaluation and surgical intervention, the efficacy of neoadjuvant therapy directly defines the scope of clinical benefits for patients[8]. Although conventional neoadjuvant chemoradiotherapy can effectively achieve tumor downstaging and shrinkage, its associated toxic and side effects, such as intestinal mucosal injury and myelosuppression, often lead to a significant reduction in patients’ quality of life, and therapeutic resistance is more likely to occur in some advanced cases[9]. The clinical translation and application of immune checkpoint inhibitors have provided a novel breakthrough to address this therapeutic bottleneck. Multiple clinical studies have confirmed their definite anti-tumor activity in the treatment of LARC, yet conclusions from trials with strict inclusion criteria cannot easily match complex real-world clinical scenarios[10,11]. Real-world studies, characterized by broader population coverage and study design closer to clinical practice, have increasingly prominent guiding values for individualized treatment decision-making. Based on the clinical data of patients who received neoadjuvant immunotherapy, this study systematically analyzed the characteristics of pathological response and its correlation with long-term survival outcomes, providing real-world evidence for the standardized clinical application of immunotherapy.
The data of this study are consistent with the conclusions of multiple clinical studies focusing on neoadjuvant therapy for LARC[12,13]. A relevant study conducted neoadjuvant nivolumab combined with ipilimumab for LARC and reported a final pCR rate of 27.7%[14], and another study using neoadjuvant pembrolizumab monotherapy achieved a pCR rate of 18.6%[15]. The pCR rate in this study falls within the range of the above two research data. Such differences may result from the heterogeneity of the baseline characteristics of the enrolled populations and are more closely related to the selection of treatment regimens, as an inherent difference exists in the efficacy intensity between immune monotherapy and combination immunotherapy regimens. Notably, no significant difference was observed in the therapeutic efficacy between camrelizumab and pembrolizumab in this study, and this finding provides strong real-world evidence for the application of domestic PD-1 inhibitors in the neoadjuvant treatment of LARC. This difference in subgroup analysis shows that the combination of immunotherapy and chemotherapy may enhance anti-tumor efficacy through a synergistic mechanism. Chemotherapy can strengthen the anti-tumor effect of immunotherapy by releasing tumor antigens and optimizing the tumor immune microenvironment, and this synergistic mechanism provides a solid theoretical basis for the results of this study[16]. Stratified analysis of tumor staging revealed that the efficacy improvement of the immune combination regimen was more prominent in patients with T3 and N1 stages, whereas the pCR rate in patients with T4 and N2 stages was still below 20%. This phenomenon indicates that patients with advanced tumors may require more individualized combination strategies, such as extending the course of immunotherapy or incorporating anti-angiogenic drugs into the existing regimens to enhance therapeutic efficacy. Pathological response has long been proven to be a core indicator for evaluating the efficacy of neoadjuvant therapy, and its correlation with long-term survival of LARC patients has been confirmed in studies on conventional chemoradiotherapy. The survival analysis in this study further de
Further, the multivariate Cox regression analysis confirmed that the degree of pathological response was an inde
Clinically, our study findings show the following guiding significance: (1) For patients with T3N0-1 LARC, immunochemotherapy can be considered the preferred regimen, especially for those intolerant to radiotherapy; (2) For those who achieve pCR after treatment, the course of postoperative adjuvant therapy may be shortened to reduce treatment-related toxic and side effects[20]; and (3) For those with non-major pathological response, enhanced postoperative follow-up and monitoring are required, with timely adjustment of adjuvant therapy regimens[21]. Future multicenter, prospective randomized controlled trials are required to further verify the long-term efficacy of neoadjuvant immunotherapy and explore biomarker-based individualized treatment strategies.
The degree of pathological response is a key indicator for evaluating the efficacy of neoadjuvant therapy, and its correlation with long-term patient survival has been confirmed in conventional chemoradiotherapy[22]. The survival analysis in this study revealed statistically significant differences in the 1-year DFS and OS rates among the pCR, MPR, and non-MPR groups. Notably, the pCR group achieved a 1-year DFS rate of 96.7% and 1-year OS rate of 100.0%, which were significantly superior to those of the MPR and non-MPR groups. This result shows that the degree of pathological response after neoadjuvant immunotherapy can effectively predict the long-term survival outcomes of LARC patients. Further, the multivariate Cox regression analysis confirmed that the degree of pathological response was an independent risk factor for DFS and OS in LARC patients, indicating that patients achieving pCR or MPR have a more favorable prognosis, which is consistent with the conclusions of existing studies[23,24]. In addition, this study found that tumor T stage and lymph node metastasis status were important factors affecting patient survival, with patients with T4 or N2 stage exhibiting poor survival outcomes. This implies that more intensive treatment regimens may be required for patients with advanced tumors to improve prognosis.
Safety is a critical consideration in the selection of clinical treatment regimens. In this study, neoadjuvant immunotherapy-related adverse reactions were predominantly grades 1 and 2, with an overall incidence of 100.0%, while the incidence of grade 3 and grade 4 adverse reactions was only 7.7%, and no treatment-related deaths were reported. The main severe adverse reactions included immune-related pneumonitis and liver function impairment, all of which were relieved after symptomatic treatment. These results demonstrate that neoadjuvant immunotherapy has a favorable safety profile in patients with LARC, generally consistent with the incidence of adverse reactions reported in clinical trials[25,26]. Notably, although the incidence of adverse reactions in the immunochemotherapy group was slightly higher than that in the immunotherapy monotherapy group, the difference was not statistically significant, indicating that the safety of the combination regimen remains controllable.
As a real-world study, this research has several notable strengths. First, the baseline characteristics of the enrolled patients were more consistent with clinical practice, including patients of different ages, tumor stages, and with comor
Several limitations of this study should be acknowledged. First, as a retrospective single-center analysis, it may be inherently susceptible to selection bias, information bias, and residual confounding despite rigorous inclusion and exclusion criteria. Second, the relatively short median follow-up duration may have limited the maturity and robustness of long-term survival assessments, and therefore, the prognostic implications of pathological response should be inter
In conclusion, neoadjuvant immunotherapy yields a high pathological response rate in patients with LARC, and the degree of pathological response is closely correlated with long-term survival outcomes. Patients achieving pCR or MPR have superior DFS and OS rates. The degree of pathological response can serve as an important indicator for evaluating the efficacy of neoadjuvant immunotherapy and predicting prognosis in LARC patients. Immunochemotherapy is more effective than immunotherapy monotherapy and has a controllable safety profile. Future multicenter, prospective studies are warranted to further verify the long-term efficacy of neoadjuvant immunotherapy and explore relevant biomarkers. This is expected to provide more robust evidence for the individualized treatment of LARC patients.
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