| Literature DB >> 35911723 |
Yujin Qiao1, Cong Zhao2, Xiangnan Li1, Jia Zhao1, Qi Huang1, Zheng Ding1, Yan Zhang1, Jia Jiao1, Guoqing Zhang1, Song Zhao1.
Abstract
Background: Esophageal squamous cell carcinoma (ESCC) is the most common type of esophageal cancer in China. The use of neoadjuvant immunotherapy for the treatment of ESCC is gradually increasing. Camrelizumab is one such immune checkpoint inhibitor (ICI) used for treatment. In this retrospective study, we explored the efficacy, safety, and short-term perioperative prognosis of camrelizumab in combination with neoadjuvant chemotherapy for ESCC. Materials andEntities:
Keywords: camrelizumab; efficacy; esophageal squamous cell carcinoma (ESCC); immune checkpoint inhibitor (ICI); neoadjuvant chemotherapy; surgery
Mesh:
Substances:
Year: 2022 PMID: 35911723 PMCID: PMC9329664 DOI: 10.3389/fimmu.2022.953229
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Figure 1The participant selection algorithm.
Relationship between the treatment effect and tumor regression grade (TRG).
| Treatment effect | TRG |
|---|---|
| Present, with no viable cancer cells | Complete response, score of 0 |
| Present, with single cells or rare small groups of cancer cells | Near complete response, score of 1 |
| Present, with residual cancer showing evident tumor regression, but more than single cells or rare small groups of cancer cells | Partial response, score of 2 |
| Absent, with extensive residual cancer and no evident tumor regression | Poor or no response, score of 3 |
Clinical characteristics of the patients with ESCC treated with different neoadjuvant therapies.
| Groups | |||
|---|---|---|---|
| Characteristics | C-NC (n=48) | NC (n=206) |
|
|
| 64.15 ± 7.293 | 62.22 ± 7.136 | 0.095 |
|
| 0.273 | ||
| Male | 38 (79.2) | 147 (71.4) | |
| Female | 10 (20.8) | 59 (28.6) | |
|
| 23.70 (22.05,25.35) | 23.21 (21.20,25.22) | 0.466 |
|
| 0.810 | ||
| Upper | 8 (16.7) | 37 (18.0) | |
| Middle | 26 (54.2) | 101 (49.0) | |
| Lower | 14 (29.2) | 68 (33.0) | |
|
| 0.185 | ||
| Yes | 27 (56.3) | 94 (45.6) | |
| No | 21 (43.8) | 112 (54.4) | |
|
| 0.107 | ||
| Yes | 20 (41.7) | 61 (29.6) | |
| No | 28 (58.3) | 145 (70.4) | |
|
| 0.215 | ||
| Yes | 19 (39.6) | 102 (49.5) | |
| No | 29 (60.4) | 104 (50.5) | |
C-NC, camrelizumab+ neoadjuvant chemotherapy; NC, neoadjuvant chemotherapy; BMI, body mass index. The tumor location is marked according to the location of the midpoint of the tumor.
Postoperative pathology of patients with ESCC.
| Groups | |||||
|---|---|---|---|---|---|
| C-NC(n=48) | NC(n=206) | χ2 | P | OR (95% CI) | |
|
| 27.084 | <0.001 | 5.974 (2.895,12.327) | ||
| Yes | 20 (41.7) | 22 (10.7) | |||
| No | 28 (58.3) | 184 (89.3) | |||
|
| 19.309 | <0.001 | 4.088 (2.124,7.870) | ||
| Yes | 29 (60.4) | 56 (27.2) | |||
| No | 19 (39.6) | 150 (72.8) | |||
|
| 2.669 | 0.102 | 0.357 (0.123,1.037) | ||
| Yes | 6 (12.5) | 10 (4.9) | |||
| No | 42 (87.5) | 196 (95.1) | |||
|
| |||||
| 0 | 21 (43.8) | 34 (16.5) | |||
| 1 | 8 (16.7) | 22 (10.7) | |||
| 2 | 8 (16.7) | 36 (17.5) | |||
| 3 | 11 (22.9) | 114 (55.3) | |||
|
| |||||
| 0 | 21 (43.7) | 35 (17.0) | |||
| 1 | 10 (20.8) | 28 (13.6) | |||
| 2 | 9 (18.8) | 65 (31.6) | |||
| 3 | 8 (16.7) | 78 (37.9) | |||
|
| |||||
| 0 | 30(62.5) | 104(50.5) | |||
| 1 | 9(18.8) | 59(28.6) | |||
| 2 | 7(14.6) | 37(18.0) | |||
| 3 | 2(4.2) | 6(2.9) | |||
TRG, tumor regression grade; pCR, pathologic complete response; MPR, major pathological remission; LN, lymph node.
Adverse events during neoadjuvant therapy and the perioperative period and perioperative data.
| Groups | |||||
|---|---|---|---|---|---|
| C-NC(n=48) | NC(n=206) | χ2 | P | ||
|
| 33(68.8) | 174(84.5) | 6.376 | 0.012 | |
|
| 17(35.4) | 78(37.9) | 0.100 | 0.752 | |
|
| 0(0.0) | 4(1.9) | >0.999 | ||
|
| 6(12.5) | 19(9.2) | 0.174 | 0.676 | |
|
| 0(0.0) | 2(1.0) | >0.999 | ||
|
| 2(4.2) | 1(0.5) | 0.093 | ||
|
| 26(54.2) | – | – | ||
|
| 37(77.1) | 189(91.7) | 8.535 | 0.003 | |
|
| 1(2.1) | 21(10.2) | 2.293 | 0.130 | |
|
| 0(0.0) | 7(3.4) | 0.649 | 0.420 | |
|
| 13(27.1) | 77(37.4) | 1.804 | 0.179 | |
|
| 4(8.3) | 10(4.9) | 0.360 | 0.549 | |
|
| 4(8.3) | 7(3.4) | 1.252 | 0.263 | |
|
| 0(0.0) | 14(6.8) | 2.271 | 0.132 | |
|
| 0(0.0) | 3(1.5) | >0.999 | ||
|
| 17(35.4) | 99(48.1) | 2.507 | 0.113 | |
|
| 324.5(264.0,385.0) | 310.0(265.0,355.0) | 0.595 | ||
|
| 10(8.5,11.5) | 9(6.5,11.5) | 0.704 | ||
|
| 34(28.5,39.5) | 30(26,34) | <0.001 | ||
All grades of adverse events were recorded in this table, including death. Postoperative hospital stay was counted from the first day after surgery and ended on the day of discharge. RCCEP: reactive cutaneous capillary endothelial proliferation; PPCs: postoperative pulmonary complication, including pneumonia, atelectasis and pleural effusion; EGAF: esophagogastric anastomotic fistula. Totala indicates the total adverse event rate during neoadjuvant therapy. Totalb indicates the total adverse event rate in the perioperative period.
Logistic model of factors increasing the likelihood of patients achieving a pCR.
| Wald | P | OR(95% CI) | |
|---|---|---|---|
| Camrelizumab + NC | 16.347 | <0.001 | 4.805(2.245, 10.283) |
| Sex | 0.532 | 0.466 | 1.368(0.590, 3.172) |
| Younger age | 4.991 | 0.025 | 1.054(1.007, 1.104) |
| BMI | 1.439 | 0.230 | 0.936(0.841, 1.043) |
| Tumor location | |||
| Upper | Baseline | 0.990 | Baseline |
| Middle | 0.014 | 0.906 | 0.944(0.364, 2.449) |
| Lower | 0.000 | 0.988 | 1.006(0.468, 2.161) |
| Smoking | 0.329 | 0.567 | 1.283(0.548, 3.005) |
| Drinking | 0.223 | 0.637 | 1.236(0.513, 2.974) |
| Past history | 1.967 | 0.161 | 0.613(0.309, 1.215) |
| NoLN metastases | 10.638 | 0.001 | 3.295(1.609, 6.742) |
NC, neoadjuvant chemotherapy; LN, lymph nodes. P<0.05 is considered to indicate a significant difference.
Studies of ICIs (PD-1) in combination with neoadjuvant chemotherapy.
| Researchers | Institution | Year | Pathology | Stage | Treatment options | Number of participants | pCR rate |
|---|---|---|---|---|---|---|---|
| Wu Z et al. ( | Fudan University Shanghai Cancer Center | 2021 | SCC | III-IVb | Pembrolizumab or camrelizumab | 38 | 34.21% |
| Shang X et al. ( | Tianjin Medical University Cancer Institute and Hospital | 2022 | SCC | II-III | Pembrolizumab + paclitaxel + cisplatin | – | – |
| Huang B et al. ( | Fifth Affiliated Hospital of Sun Yat-sen University | 2021 | SCC | II-IVa | Pembrolizumab + docetaxel + nedaplatin | 23 | 30.4% |
| Gao L et al. ( | Fujian Medical University Union Hospital | 2022 | SCC | II-IVa | Toripalimab + docetaxel + cisplatin | 12 | 16.7% |
| Zheng Y et al. ( | Affiliated Cancer Hospital of Zhengzhou University | 2021 | SCC | Ia-III | Toripalimab + paclitaxel + cisplatin | – | – |
| He W et al. ( | Sichuan Cancer Hospital and Research Institute | 2022 | SCC | III-IVa | Toripalimab + paclitaxel + carboplatin | 16 | 18.8% |
| Zhang Z et al. ( | Fujian Medical University Union Hospital | 2021 | SCC | II-III | Sintilimab + albumin-bound paclitaxel + cisplatin | 30 | 21.7% |